Index (TensorFlow Java Parent 1.2.0-SNAPSHOT API)

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All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

a - Variable in class org.tensorflow.op.linalg.Cross.Inputs: A tensor containing 3-element vectors.
a - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The a input
a - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: Must be a two-dimensional tensor.
a - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: A matrix to be multiplied.
a - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: A matrix to be multiplied.
a - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: A matrix to be multiplied.
a - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: A CSRSparseMatrix.
a - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: A CSRSparseMatrix.
a - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMul.Inputs: A CSRSparseMatrix.
a - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: A CSRSparseMatrix.
a - Variable in class org.tensorflow.op.math.Betainc.Inputs: The a input
a - Variable in class org.tensorflow.op.math.Igamma.Inputs: The a input
a - Variable in class org.tensorflow.op.math.Igammac.Inputs: The a input
a - Variable in class org.tensorflow.op.math.IgammaGradA.Inputs: The a input
a - Variable in class org.tensorflow.op.math.Polygamma.Inputs: The a input
a - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The a input
a - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The a input
a - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The a input
A_MINUS_B - Enum constant in enum org.tensorflow.framework.op.sets.Sets.Operation
abort(Abort.Options...) - Method in class org.tensorflow.op.Ops: Raise a exception to abort the process when called.
Abort - Class in org.tensorflow.op.core: Raise a exception to abort the process when called.
Abort(Operation) - Constructor for class org.tensorflow.op.core.Abort
Abort.Inputs - Class in org.tensorflow.op.core
Abort.Options - Class in org.tensorflow.op.core: Optional attributes for Abort
ABORTED - Enum constant in enum org.tensorflow.proto.error.Code: The operation was aborted, typically due to a concurrency issue like sequencer check failures, transaction aborts, etc.
ABORTED_VALUE - Static variable in enum org.tensorflow.proto.error.Code: The operation was aborted, typically due to a concurrency issue like sequencer check failures, transaction aborts, etc.
abs(Operand) - Method in class org.tensorflow.op.MathOps: Computes the absolute value of a tensor.
Abs<T> - Class in org.tensorflow.op.math: Computes the absolute value of a tensor.
Abs(Operation) - Constructor for class org.tensorflow.op.math.Abs
Abs.Inputs<T> - Class in org.tensorflow.op.math
AbstractActivation - Class in org.tensorflow.framework.activations: Abstract base class for Activations
AbstractActivation() - Constructor for class org.tensorflow.framework.activations.AbstractActivation: Creates the abstract class for an AbstractActivation
AbstractConstraint - Class in org.tensorflow.framework.constraints: Base class for Constraints.
AbstractConstraint() - Constructor for class org.tensorflow.framework.constraints.AbstractConstraint: Creates a AbstractConstraint
AbstractGradientAdapter - Class in org.tensorflow: Helper base class for custom gradient adapters INTERNAL USE ONLY
AbstractGradientAdapter() - Constructor for class org.tensorflow.AbstractGradientAdapter
AbstractRegularizer - Class in org.tensorflow.framework.regularizers: Base class for Regularizers
AbstractRegularizer() - Constructor for class org.tensorflow.framework.regularizers.AbstractRegularizer: Creates a AbstractRegularizer, using Class.getSimpleName() for the name
AbstractRegularizer(String) - Constructor for class org.tensorflow.framework.regularizers.AbstractRegularizer: Creates a AbstractRegularizer
AbstractTF_Buffer - Class in org.tensorflow.internal.c_api
AbstractTF_Buffer(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_Buffer
AbstractTF_Buffer.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_Function - Class in org.tensorflow.internal.c_api
AbstractTF_Function(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_Function
AbstractTF_Function.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_Graph - Class in org.tensorflow.internal.c_api
AbstractTF_Graph(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_Graph
AbstractTF_Graph.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_ImportGraphDefOptions - Class in org.tensorflow.internal.c_api
AbstractTF_ImportGraphDefOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_ImportGraphDefOptions
AbstractTF_ImportGraphDefOptions.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_Session - Class in org.tensorflow.internal.c_api
AbstractTF_Session(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_Session
AbstractTF_Session.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_SessionOptions - Class in org.tensorflow.internal.c_api
AbstractTF_SessionOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_SessionOptions
AbstractTF_SessionOptions.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_Status - Class in org.tensorflow.internal.c_api
AbstractTF_Status(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_Status
AbstractTF_Status.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTF_Tensor - Class in org.tensorflow.internal.c_api
AbstractTF_Tensor(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTF_Tensor
AbstractTF_Tensor.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTFE_Context - Class in org.tensorflow.internal.c_api
AbstractTFE_Context(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTFE_Context
AbstractTFE_Context.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTFE_ContextOptions - Class in org.tensorflow.internal.c_api
AbstractTFE_ContextOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTFE_ContextOptions
AbstractTFE_ContextOptions.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTFE_Op - Class in org.tensorflow.internal.c_api
AbstractTFE_Op(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTFE_Op
AbstractTFE_Op.DeleteDeallocator - Class in org.tensorflow.internal.c_api
AbstractTFE_TensorHandle - Class in org.tensorflow.internal.c_api
AbstractTFE_TensorHandle(Pointer) - Constructor for class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle
AbstractTFE_TensorHandle.DeleteDeallocator - Class in org.tensorflow.internal.c_api
acceptableFraction - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: The minimum required fraction of lines before a truncated input is accepted.
acceptableFraction - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: The minimum required fraction of lines before a truncated input is accepted.
acceptableFraction(Float) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the acceptableFraction option.
acceptableFraction(Float) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the acceptableFraction option.
acceptableFraction(Float) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the acceptableFraction option.
acceptableFraction(Float) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the acceptableFraction option.
accum - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: Should be from a Variable().
accumulateN(Iterable, Shape) - Method in class org.tensorflow.op.MathOps: Returns the element-wise sum of a list of tensors.
AccumulateN<T> - Class in org.tensorflow.op.math: Returns the element-wise sum of a list of tensors.
AccumulateN(Operation) - Constructor for class org.tensorflow.op.math.AccumulateN
AccumulateN.Inputs<T> - Class in org.tensorflow.op.math
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The accumulator input
ACCUMULATOR - Static variable in class org.tensorflow.framework.metrics.FalseNegatives
ACCUMULATOR - Static variable in class org.tensorflow.framework.metrics.FalsePositives
ACCUMULATOR - Static variable in class org.tensorflow.framework.metrics.TrueNegatives
ACCUMULATOR - Static variable in class org.tensorflow.framework.metrics.TruePositives
ACCUMULATOR - Static variable in class org.tensorflow.framework.optimizers.AdaDelta
ACCUMULATOR - Static variable in class org.tensorflow.framework.optimizers.AdaGrad
ACCUMULATOR - Static variable in class org.tensorflow.framework.optimizers.AdaGradDA
ACCUMULATOR - Static variable in class org.tensorflow.framework.optimizers.Ftrl
ACCUMULATOR_UPDATE - Static variable in class org.tensorflow.framework.optimizers.AdaDelta
accumulatorApplyGradient(Operand, Operand, Operand) - Method in class org.tensorflow.op.TrainOps: Applies a gradient to a given accumulator.
AccumulatorApplyGradient - Class in org.tensorflow.op.train: Applies a gradient to a given accumulator.
AccumulatorApplyGradient(Operation) - Constructor for class org.tensorflow.op.train.AccumulatorApplyGradient
AccumulatorApplyGradient.Inputs - Class in org.tensorflow.op.train
accumulatorNumAccumulated(Operand) - Method in class org.tensorflow.op.TrainOps: Returns the number of gradients aggregated in the given accumulators.
AccumulatorNumAccumulated - Class in org.tensorflow.op.train: Returns the number of gradients aggregated in the given accumulators.
AccumulatorNumAccumulated(Operation) - Constructor for class org.tensorflow.op.train.AccumulatorNumAccumulated
AccumulatorNumAccumulated.Inputs - Class in org.tensorflow.op.train
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: Value of accumulators used in the Adadelta optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: Value of accumulators used in the Adagrad Momentum optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: Value of accumulators used in the Adagrad optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: Value of accumulators used in the FTRL optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: Value of accumulators used in the MDL Adagrad Light optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: Value of accumulators used in the proximal Adagrad optimization algorithm.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Gets accumulators.
accumulatorSetGlobalStep(Operand, Operand) - Method in class org.tensorflow.op.TrainOps: Updates the accumulator with a new value for global_step.
AccumulatorSetGlobalStep - Class in org.tensorflow.op.train: Updates the accumulator with a new value for global_step.
AccumulatorSetGlobalStep(Operation) - Constructor for class org.tensorflow.op.train.AccumulatorSetGlobalStep
AccumulatorSetGlobalStep.Inputs - Class in org.tensorflow.op.train
accumulatorTakeGradient(Operand, Operand, Class) - Method in class org.tensorflow.op.TrainOps: Extracts the average gradient in the given ConditionalAccumulator.
AccumulatorTakeGradient<T> - Class in org.tensorflow.op.train: Extracts the average gradient in the given ConditionalAccumulator.
AccumulatorTakeGradient(Operation) - Constructor for class org.tensorflow.op.train.AccumulatorTakeGradient
AccumulatorTakeGradient.Inputs - Class in org.tensorflow.op.train
accumUpdate - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Should be from a Variable().
accumUpdate - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Should be from a Variable().
accumUpdate - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: : Should be from a Variable().
accumUpdate - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: : Should be from a Variable().
Accuracy<T> - Class in org.tensorflow.framework.metrics: Metric that calculates how often predictions equals labels.
Accuracy(long, Class) - Constructor for class org.tensorflow.framework.metrics.Accuracy: Creates an Accuracy Metric using Class.getSimpleName() for the metric name
Accuracy(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.Accuracy: Creates an Accuracy Metric
acos(Operand) - Method in class org.tensorflow.op.MathOps: Computes acos of x element-wise.
Acos<T> - Class in org.tensorflow.op.math: Computes acos of x element-wise.
Acos(Operation) - Constructor for class org.tensorflow.op.math.Acos
Acos.Inputs<T> - Class in org.tensorflow.op.math
acosh(Operand) - Method in class org.tensorflow.op.MathOps: Computes inverse hyperbolic cosine of x element-wise.
Acosh<T> - Class in org.tensorflow.op.math: Computes inverse hyperbolic cosine of x element-wise.
Acosh(Operation) - Constructor for class org.tensorflow.op.math.Acosh
Acosh.Inputs<T> - Class in org.tensorflow.op.math
ACTION_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemChunk
ACTION_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.SnapShot
Activation - Interface in org.tensorflow.framework.activations: Interface for Activations
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The activationGradients input
activations() - Method in class org.tensorflow.op.math.Softplus: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Elu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.LeakyRelu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.QuantizedRelu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.QuantizedRelu6: Gets activations.
activations() - Method in class org.tensorflow.op.nn.QuantizedReluX: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Relu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Relu6: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Selu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Softsign: Gets activations.
activations() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmul: Gets activations.
activations() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput: Gets activations.
activations() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize: Gets activations.
Activations - Enum in org.tensorflow.framework.activations: The Enumerations for creating Activations based an activation name, with either an empty constructor or a constructor that takes a Map object that contains the Activation's state.
AdaDelta - Class in org.tensorflow.framework.optimizers: Optimizer that implements the Adadelta algorithm.
AdaDelta(Graph) - Constructor for class org.tensorflow.framework.optimizers.AdaDelta
AdaDelta(Graph, float) - Constructor for class org.tensorflow.framework.optimizers.AdaDelta: Creates an AdaDelta Optimizer
AdaDelta(Graph, float, float, float) - Constructor for class org.tensorflow.framework.optimizers.AdaDelta: Creates an AdaDelta Optimizer
AdaDelta(Graph, String, float) - Constructor for class org.tensorflow.framework.optimizers.AdaDelta: Creates an AdaDelta Optimizer
AdaDelta(Graph, String, float, float, float) - Constructor for class org.tensorflow.framework.optimizers.AdaDelta: Creates an AdaDelta Optimizer
ADADELTA - Enum constant in enum org.tensorflow.framework.optimizers.Optimizers
AdaGrad - Class in org.tensorflow.framework.optimizers: Optimizer that implements the Adagrad algorithm.
AdaGrad(Graph) - Constructor for class org.tensorflow.framework.optimizers.AdaGrad: Creates an AdaGrad Optimizer
AdaGrad(Graph, float) - Constructor for class org.tensorflow.framework.optimizers.AdaGrad: Creates an AdaGrad Optimizer
AdaGrad(Graph, float, float) - Constructor for class org.tensorflow.framework.optimizers.AdaGrad: Creates an AdaGrad Optimizer
AdaGrad(Graph, String, float) - Constructor for class org.tensorflow.framework.optimizers.AdaGrad: Creates an AdaGrad Optimizer
AdaGrad(Graph, String, float, float) - Constructor for class org.tensorflow.framework.optimizers.AdaGrad: Creates an AdaGrad Optimizer
ADAGRAD - Enum constant in enum org.tensorflow.framework.optimizers.Optimizers
ADAGRAD_DA - Enum constant in enum org.tensorflow.framework.optimizers.Optimizers
AdaGradDA - Class in org.tensorflow.framework.optimizers: Optimizer that implements the Adagrad Dual-Averaging algorithm.
AdaGradDA(Graph) - Constructor for class org.tensorflow.framework.optimizers.AdaGradDA: Creates an AdaGradDA Optimizer
AdaGradDA(Graph, float) - Constructor for class org.tensorflow.framework.optimizers.AdaGradDA: Creates an AdaGradDA Optimizer
AdaGradDA(Graph, float, float, float, float) - Constructor for class org.tensorflow.framework.optimizers.AdaGradDA: Creates an AdaGradDA Optimizer
AdaGradDA(Graph, String, float) - Constructor for class org.tensorflow.framework.optimizers.AdaGradDA: Creates an AdaGradDA Optimizer
AdaGradDA(Graph, String, float, float, float, float) - Constructor for class org.tensorflow.framework.optimizers.AdaGradDA: Creates an AdaGradDA Optimizer
Adam - Class in org.tensorflow.framework.optimizers: Optimizer that implements the Adam algorithm.
Adam(Graph) - Constructor for class org.tensorflow.framework.optimizers.Adam: Creates an Adam optimizer
Adam(Graph, float) - Constructor for class org.tensorflow.framework.optimizers.Adam: Creates an Adam optimizer
Adam(Graph, float, float, float, float) - Constructor for class org.tensorflow.framework.optimizers.Adam: Creates an Adam optimizer
Adam(Graph, String, float) - Constructor for class org.tensorflow.framework.optimizers.Adam: Creates an Adam optimizer
Adam(Graph, String, float, float, float, float) - Constructor for class org.tensorflow.framework.optimizers.Adam: Creates an Adam optimizer
ADAM - Enum constant in enum org.tensorflow.framework.optimizers.Optimizers
Adamax - Class in org.tensorflow.framework.optimizers: Optimizer that implements the Adamax algorithm.
Adamax(Graph) - Constructor for class org.tensorflow.framework.optimizers.Adamax: Creates an Optimizer that implements the Adamax algorithm.
Adamax(Graph, float) - Constructor for class org.tensorflow.framework.optimizers.Adamax: Creates an Optimizer that implements the Adamax algorithm.
Adamax(Graph, float, float, float, float) - Constructor for class org.tensorflow.framework.optimizers.Adamax: Creates an Optimizer that implements the Adamax algorithm.
Adamax(Graph, String) - Constructor for class org.tensorflow.framework.optimizers.Adamax: Creates an Optimizer that implements the Adamax algorithm.
Adamax(Graph, String, float) - Constructor for class org.tensorflow.framework.optimizers.Adamax: Creates an Optimizer that implements the Adamax algorithm.
Adamax(Graph, String, float, float, float, float) - Constructor for class org.tensorflow.framework.optimizers.Adamax: Creates an Optimizer that implements the Adamax algorithm.
ADAMAX - Enum constant in enum org.tensorflow.framework.optimizers.Optimizers
adapter(CustomGradient, Class) - Static method in interface org.tensorflow.op.CustomGradient: Create an adapter for the custom gradient so that it can be used by native code.
adapter(RawCustomGradient) - Static method in interface org.tensorflow.op.RawCustomGradient: Create an adapter for the custom gradient so that it can be used by native code.
adaptive - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Whether to use Adaptive SDCA for the inner loop.
adaptive(Boolean) - Static method in class org.tensorflow.op.train.SdcaOptimizer: Sets the adaptive option.
adaptive(Boolean) - Method in class org.tensorflow.op.train.SdcaOptimizer.Options: Sets the adaptive option.
add(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns x + y element-wise.
Add<T> - Class in org.tensorflow.op.math: Returns x + y element-wise.
Add(Operation) - Constructor for class org.tensorflow.op.math.Add
Add.Inputs<T> - Class in org.tensorflow.op.math
addAllAllocationRecords(Iterable) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllArgOrder(Iterable) - Method in class org.tensorflow.proto.ApiDef.Builder: List of original in_arg names to specify new argument order.
addAllArgs(Iterable) - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addAllArgument(Iterable) - Method in class org.tensorflow.proto.RunConfiguration.Builder: repeated string argument = 1;
addAllArgumentKeywords(Iterable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
addAllAssetFileDef(Iterable) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAllAttr(Iterable) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAllAttr(Iterable) - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAllAttributes(Iterable) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAllAvailableDeviceInfo(Iterable) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
addAllB(Iterable) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(bool)"
addAllBadConsumers(Iterable) - Method in class org.tensorflow.proto.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
addAllBinSummary(Iterable) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addAllBoolVal(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_BOOL
addAllBoundInputs(Iterable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
addAllBucket(Iterable) - Method in class org.tensorflow.proto.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
addAllBucketLimit(Iterable) - Method in class org.tensorflow.proto.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
addAllCcFlags(Iterable) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: CC compiler flags, if known
addAllChildId(Iterable) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
addAllChildren(Iterable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addAllChildren(Iterable) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addAllChunk(Iterable) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addAllComponentMetadata(Iterable) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
addAllComponents(Iterable) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addAllComponents(Iterable) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
addAllConcreteFunctions(Iterable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: repeated string concrete_functions = 1;
addAllConstNodeInfo(Iterable) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addAllConstraint(Iterable) - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addAllControlInput(Iterable) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
addAllControlOutput(Iterable) - Method in class org.tensorflow.proto.OpDef.Builder: Named control outputs for this operation.
addAllCoordinatedJobList(Iterable) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
addAllCost(Iterable) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addAllCustomOptimizers(Iterable) - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addAllDcomplexVal(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
addAllDebugOps(Iterable) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
addAllDebugTensorWatchOpts(Iterable) - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
addAllDebugUrls(Iterable) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: URL(s) for debug targets(s).
addAllDependencies(Iterable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
addAllDeviceFilters(Iterable) - Method in class org.tensorflow.proto.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
addAllDeviceFilters(Iterable) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder: repeated string device_filters = 1;
addAllDeviceInfo(Iterable) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addAllDeviceOrdinal(Iterable) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Virtual Device ordinal number determines the device ID of the device.
addAllDevicePersistentTensorAllocIds(Iterable) - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
addAllDevStats(Iterable) - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addAllDim(Iterable) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addAllDoubleVal(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_DOUBLE.
addAllDtype(Iterable) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
addAllDtypesAndShapes(Iterable) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addAllDtypeValue(Iterable) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
addAllElement(Iterable) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addAllEnableOp(Iterable) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
addAllEndpoint(Iterable) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addAllEnqueueOpName(Iterable) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of enqueue operations.
addAllEntry(Iterable) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addAllErrors(Iterable) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Errors (if any) in the generation of planes.
addAllEvents(Iterable) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addAllExperimentalDistributedVariableComponents(Iterable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
addAllExtent(Iterable) - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addAllF(Iterable) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(float)"
addAllFeature(Iterable) - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addAllFeed(Iterable) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be fed in the callable.
addAllFetch(Iterable) - Method in class org.tensorflow.proto.CallableOptions.Builder: Fetches.
addAllFileLineCols(Iterable) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
addAllFiles(Iterable) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
addAllFloatVal(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_FLOAT.
addAllFrameId(Iterable) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: repeated fixed64 frame_id = 2 [packed = true];
addAllFrameworkType(Iterable) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: List of frameworks used to generate this dataset.
addAllFullShape(Iterable) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of the full variable.
addAllFunc(Iterable) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
addAllFunction(Iterable) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addAllFunctionGraphs(Iterable) - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addAllGapTimes(Iterable) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: repeated uint64 gap_times = 6;
addAllGradient(Iterable) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addAllGraphInputNodeInfo(Iterable) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addAllGraphOutputNodeInfo(Iterable) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addAllHalfVal(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
addAllHandleData(Iterable) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
addAllHostMemoryArg(Iterable) - Method in class org.tensorflow.proto.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
addAllHostnames(Iterable) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: List of hostnames that XPlanes are generated from.
addAllI(Iterable) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(int)"
addAllInArg(Iterable) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addAllInput(Iterable) - Method in class org.tensorflow.proto.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
addAllInputArg(Iterable) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
addAllInputInfo(Iterable) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addAllInputNames(Iterable) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Names of the input tensors to the op.
addAllInputs(Iterable) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: IDs of inputs of this node.
addAllInputs(Iterable) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addAllInputSpatialDimensions(Iterable) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the input.
addAllInputTensorIds(Iterable) - Method in class org.tensorflow.proto.Execution.Builder: IDs of the input tensors (if available).
addAllInputTensorsAsShapesNeeded(Iterable) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_as_shapes_needed = 2;
addAllInputTensorsNeeded(Iterable) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_needed = 1;
addAllInstrumentedOps(Iterable) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Names of the instrumented ops.
addAllInt64Val(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT64
addAllIntVal(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
addAllJob(Iterable) - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
addAllJobs(Iterable) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addAllKernel(Iterable) - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addAllKernelSpatialDimensions(Iterable) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the kernel (rhs).
addAllLines(Iterable) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
addAllLines(Iterable) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
addAllLines(Iterable) - Method in class org.tensorflow.proto.SourceFile.Builder: Line-by-line content of the file.
addAllLink(Iterable) - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addAllLoopEnterNames(Iterable) - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for enter tensors.
addAllLoopExitNames(Iterable) - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for exit tensors.
addAllMaxByteSize(Iterable) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
addAllMemory(Iterable) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addAllMemoryLimitMb(Iterable) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
addAllMetaGraphs(Iterable) - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
addAllMetrics(Iterable) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
addAllNestedContexts(Iterable) - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addAllNestedContexts(Iterable) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addAllNode(Iterable) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addAllNode(Iterable) - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addAllNodeDef(Iterable) - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addAllNodeInfo(Iterable) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addAllNodeInput(Iterable) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addAllNodeInputInfo(Iterable) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addAllNodeOutputInfo(Iterable) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addAllNodes(Iterable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addAllNodes(Iterable) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addAllNodeStats(Iterable) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addAllocationRecords(int, AllocationRecord) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecords(int, AllocationRecord.Builder) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecords(AllocationRecord) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecords(AllocationRecord.Builder) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecordsBuilder() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllocationRecordsBuilder(int) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
addAllOp(Iterable) - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addAllOp(Iterable) - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addAllOpPerformance(Iterable) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addAllOptimizers(Iterable) - Method in class org.tensorflow.proto.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addAllOpts(Iterable) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: Bazel compilation options, if known
addAllOriginalFuncNames(Iterable) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
addAllOriginalNodeNames(Iterable) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
addAllOutArg(Iterable) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addAllOutput(Iterable) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addAllOutputArg(Iterable) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
addAllOutputInfo(Iterable) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addAllOutputMemory(Iterable) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
addAllOutputs(Iterable) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
addAllOutputSpatialDimensions(Iterable) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the output.
addAllOutputTensorDeviceIds(Iterable) - Method in class org.tensorflow.proto.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
addAllOutputTensorIds(Iterable) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
addAllOutputTensorIds(Iterable) - Method in class org.tensorflow.proto.Execution.Builder: IDs of the output tensors (if availbable).
addAllParameters(Iterable) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
addAllPartitionGraphs(Iterable) - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
addAllPartitionGraphs(Iterable) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addAllPersistentTensorAllocIds(Iterable) - Method in class org.tensorflow.proto.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
addAllPlanes(Iterable) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addAllPriority(Iterable) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
addAllQueueClosedExceptionTypes(Iterable) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addAllQueueClosedExceptionTypesValue(Iterable) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addAllRecoverableJobs(Iterable) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: The list of jobs which are recoverable.
addAllReferencedTensor(Iterable) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addAllRegisteredGradients(Iterable) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addAllResourceDtypesAndShapes(Iterable) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addAllResourceHandleVal(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
addAllRetTypes(Iterable) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Return node types of the function.
addAllRetTypesValue(Iterable) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Return node types of the function.
addAllS(Iterable) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(string)"
addAllScomplexVal(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
addAllServiceAddresses(Iterable) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
addAllSessionInterOpThreadPool(Iterable) - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addAllShape(Iterable) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
addAllShape(Iterable) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
addAllShape(Iterable) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
addAllShape(Iterable) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
addAllShapeAndType(Iterable) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
addAllSlice(Iterable) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addAllSlices(Iterable) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addAllSlotVariables(Iterable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
addAllSlotVariables(Iterable) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addAllSnapShot(Iterable) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addAllSourceFiles(Iterable) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
addAllStackFrameIds(Iterable) - Method in class org.tensorflow.proto.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
addAllStats(Iterable) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
addAllStats(Iterable) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addAllStats(Iterable) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
addAllStringVal(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_STRING
addAllTags(Iterable) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
addAllTarget(Iterable) - Method in class org.tensorflow.proto.CallableOptions.Builder: Target Nodes.
addAllTensor(Iterable) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addAllTensor(Iterable) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
addAllTensor(Iterable) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addAllTensorConnection(Iterable) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
addAllTensorContent(Iterable) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
addAllTensorMetadata(Iterable) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addAllTensorProtos(Iterable) - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addAllTensors(Iterable) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addAllType(Iterable) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(type)"
addAllTypeValue(Iterable) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(type)"
addAllUint32Val(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT32
addAllUint64Val(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT64
addAllUncompressedBytes(Iterable) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
addAllValue(Iterable) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addAllValue(Iterable) - Method in class org.tensorflow.proto.BytesList.Builder: repeated bytes value = 1;
addAllValue(Iterable) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder: repeated bytes value = 1;
addAllValue(Iterable) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
addAllValue(Iterable) - Method in class org.tensorflow.proto.FloatList.Builder: repeated float value = 1 [packed = true];
addAllValue(Iterable) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
addAllValue(Iterable) - Method in class org.tensorflow.proto.Int64List.Builder: repeated int64 value = 1 [packed = true];
addAllValue(Iterable) - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
addAllValue(Iterable) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder: repeated string value = 1;
addAllValues(Iterable) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addAllValues(Iterable) - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addAllValues(Iterable) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addAllValues(Iterable) - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names that have been seen in this context.
addAllVariantVal(Iterable) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
addAllVarOffset(Iterable) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
addAllVarShape(Iterable) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of this variable.
addAllVirtualDevices(Iterable) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
addAllWarnings(Iterable) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Warnings (if any) in the generation of planes;
addAllWorkerAddresses(Iterable) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.)
addAllWorkerLog(Iterable) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addAllWorkerTags(Iterable) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
addArgOrder(String) - Method in class org.tensorflow.proto.ApiDef.Builder: List of original in_arg names to specify new argument order.
addArgOrderBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Builder: List of original in_arg names to specify new argument order.
addArgs(int, FullTypeDef) - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addArgs(int, FullTypeDef.Builder) - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addArgs(FullTypeDef) - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addArgs(FullTypeDef.Builder) - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addArgsBuilder() - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addArgsBuilder(int) - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
addArgument(String) - Method in class org.tensorflow.proto.RunConfiguration.Builder: repeated string argument = 1;
addArgumentBytes(ByteString) - Method in class org.tensorflow.proto.RunConfiguration.Builder: repeated string argument = 1;
addArgumentKeywords(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
addArgumentKeywordsBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
addAssetFileDef(int, AssetFileDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDef(int, AssetFileDef.Builder) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDef(AssetFileDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDef(AssetFileDef.Builder) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDefBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAssetFileDefBuilder(int) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
addAttr(int, ApiDef.Attr) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(int, ApiDef.Attr.Builder) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(int, OpDef.AttrDef) - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttr(int, OpDef.AttrDef.Builder) - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttr(ApiDef.Attr) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(ApiDef.Attr.Builder) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(OpDef.AttrDef) - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttr(OpDef.AttrDef.Builder) - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttrBuilder() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttrBuilder() - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttrBuilder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
addAttrBuilder(int) - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttributes(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAttributes(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAttributes(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAttributes(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAttributesBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAttributesBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
addAvailableDeviceInfo(int, AvailableDeviceInfo) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
addAvailableDeviceInfo(int, AvailableDeviceInfo.Builder) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
addAvailableDeviceInfo(AvailableDeviceInfo) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
addAvailableDeviceInfo(AvailableDeviceInfo.Builder) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
addAvailableDeviceInfoBuilder() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
addAvailableDeviceInfoBuilder(int) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
addB(boolean) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(bool)"
addBadConsumers(int) - Method in class org.tensorflow.proto.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
addBinSummary(int, BfcMemoryMap.BinSummary) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addBinSummary(int, BfcMemoryMap.BinSummary.Builder) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addBinSummary(BfcMemoryMap.BinSummary) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addBinSummary(BfcMemoryMap.BinSummary.Builder) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addBinSummaryBuilder() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addBinSummaryBuilder(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
addBoolVal(boolean) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_BOOL
addBoundInputs(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
addBucket(double) - Method in class org.tensorflow.proto.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
addBucketLimit(double) - Method in class org.tensorflow.proto.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
addCcFlags(String) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: CC compiler flags, if known
addCcFlagsBytes(ByteString) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: CC compiler flags, if known
addChildId(long) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
addChildren(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addChildren(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addChildren(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addChildren(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addChildren(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addChildren(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addChildren(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addChildren(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addChildrenBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addChildrenBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addChildrenBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
addChildrenBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
addChunk(int, BfcMemoryMap.MemChunk) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addChunk(int, BfcMemoryMap.MemChunk.Builder) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addChunk(BfcMemoryMap.MemChunk) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addChunk(BfcMemoryMap.MemChunk.Builder) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addChunkBuilder() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addChunkBuilder(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
addComponentMetadata(int, Dataset.CompressedComponentMetadata) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
addComponentMetadata(int, Dataset.CompressedComponentMetadata.Builder) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
addComponentMetadata(Dataset.CompressedComponentMetadata) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
addComponentMetadata(Dataset.CompressedComponentMetadata.Builder) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
addComponentMetadataBuilder() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
addComponentMetadataBuilder(int) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
addComponents(int, TensorInfo) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addComponents(int, TensorInfo.Builder) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addComponents(int, TensorProto) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
addComponents(int, TensorProto.Builder) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
addComponents(TensorInfo) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addComponents(TensorInfo.Builder) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addComponents(TensorProto) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
addComponents(TensorProto.Builder) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
addComponentsBuilder() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
addComponentsBuilder() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addComponentsBuilder(int) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
addComponentsBuilder(int) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
addConcreteFunctions(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: repeated string concrete_functions = 1;
addConcreteFunctionsBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: repeated string concrete_functions = 1;
addConstNodeInfo(int, GraphTransferConstNodeInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(int, GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(GraphTransferConstNodeInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfoBuilder() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfoBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstraint(int, KernelDef.AttrConstraint) - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraint(int, KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraint(KernelDef.AttrConstraint) - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraint(KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraintBuilder() - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraintBuilder(int) - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addControlInput(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
addControlInput(Operation) - Method in class org.tensorflow.GraphOperationBuilder
addControlInput(Operation) - Method in interface org.tensorflow.OperationBuilder: Ensure that the operation does not execute before the control operation does.
addControlOutput(String) - Method in class org.tensorflow.proto.OpDef.Builder: Named control outputs for this operation.
addControlOutputBytes(ByteString) - Method in class org.tensorflow.proto.OpDef.Builder: Named control outputs for this operation.
addCoordinatedJobList(int, CoordinationConfig.CoordinatedJob) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
addCoordinatedJobList(int, CoordinationConfig.CoordinatedJob.Builder) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
addCoordinatedJobList(CoordinationConfig.CoordinatedJob) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
addCoordinatedJobList(CoordinationConfig.CoordinatedJob.Builder) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
addCoordinatedJobListBuilder() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
addCoordinatedJobListBuilder(int) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
addCost(int, CostGraphDef.AggregatedCost) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addCost(int, CostGraphDef.AggregatedCost.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addCost(CostGraphDef.AggregatedCost) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addCost(CostGraphDef.AggregatedCost.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addCostBuilder() - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addCostBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
addCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizers(RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizers(RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizersBuilder() - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addCustomOptimizersBuilder(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
addDcomplexVal(double) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
addDebugOps(String) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
addDebugOpsBytes(ByteString) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
addDebugTensorWatchOpts(int, DebugTensorWatch) - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
addDebugTensorWatchOpts(int, DebugTensorWatch.Builder) - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
addDebugTensorWatchOpts(DebugTensorWatch) - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
addDebugTensorWatchOpts(DebugTensorWatch.Builder) - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
addDebugTensorWatchOptsBuilder() - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
addDebugTensorWatchOptsBuilder(int) - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
addDebugUrls(String) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: URL(s) for debug targets(s).
addDebugUrlsBytes(ByteString) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: URL(s) for debug targets(s).
addDependencies(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
addDependencies(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
addDependencies(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
addDependencies(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
addDependenciesBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
addDependenciesBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
addDeviceFilters(String) - Method in class org.tensorflow.proto.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
addDeviceFilters(String) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder: repeated string device_filters = 1;
addDeviceFiltersBytes(ByteString) - Method in class org.tensorflow.proto.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
addDeviceFiltersBytes(ByteString) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder: repeated string device_filters = 1;
addDeviceInfo(int, Any) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addDeviceInfo(int, Any.Builder) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addDeviceInfo(Any) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addDeviceInfo(Any.Builder) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addDeviceInfoBuilder() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addDeviceInfoBuilder(int) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
addDeviceOrdinal(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Virtual Device ordinal number determines the device ID of the device.
addDevicePersistentTensorAllocIds(long) - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
addDevStats(int, DeviceStepStats) - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStats(int, DeviceStepStats.Builder) - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStats(DeviceStepStats) - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStats(DeviceStepStats.Builder) - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStatsBuilder() - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStatsBuilder(int) - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDim(int, TensorShapeProto.Dim) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDim(int, TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDim(TensorShapeProto.Dim) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDim(TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDimBuilder() - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDimBuilder(int) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDoubleVal(double) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_DOUBLE.
addDtype(DataType) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
addDtypesAndShapes(int, ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addDtypesAndShapes(int, ResourceHandleProto.DtypeAndShape.Builder) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addDtypesAndShapes(ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addDtypesAndShapes(ResourceHandleProto.DtypeAndShape.Builder) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addDtypesAndShapesBuilder() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addDtypesAndShapesBuilder(int) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
addDtypeValue(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
addElement(int, MemmappedFileSystem.MemmappedFileSystemDirectoryElement) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addElement(int, MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addElement(MemmappedFileSystem.MemmappedFileSystemDirectoryElement) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addElement(MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addElementBuilder() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addElementBuilder(int) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
addEnableOp(String) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
addEnableOpBytes(ByteString) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
addEndpoint(int, ApiDef.Endpoint) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpoint(int, ApiDef.Endpoint.Builder) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpoint(ApiDef.Endpoint) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpoint(ApiDef.Endpoint.Builder) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpointBuilder() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpointBuilder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEnqueueOpName(String) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of enqueue operations.
addEnqueueOpNameBytes(ByteString) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of enqueue operations.
addEntry(int, BenchmarkEntry) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addEntry(int, BenchmarkEntry.Builder) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addEntry(BenchmarkEntry) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addEntry(BenchmarkEntry.Builder) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addEntryBuilder() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addEntryBuilder(int) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
addErrors(String) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Errors (if any) in the generation of planes.
addErrorsBytes(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Errors (if any) in the generation of planes.
addEvents(int, Xplane.XEvent) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addEvents(int, Xplane.XEvent.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addEvents(Xplane.XEvent) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addEvents(Xplane.XEvent.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addEventsBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addEventsBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
addExperimentalDistributedVariableComponents(int, SavedObjectGraphOuterClass.SavedVariable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
addExperimentalDistributedVariableComponents(int, SavedObjectGraphOuterClass.SavedVariable.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
addExperimentalDistributedVariableComponents(SavedObjectGraphOuterClass.SavedVariable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
addExperimentalDistributedVariableComponents(SavedObjectGraphOuterClass.SavedVariable.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
addExperimentalDistributedVariableComponentsBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
addExperimentalDistributedVariableComponentsBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
addExtent(int, TensorSliceProto.Extent) - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtent(int, TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtent(TensorSliceProto.Extent) - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtent(TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtentBuilder() - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addExtentBuilder(int) - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
addF(float) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(float)"
addFeature(int, Feature) - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeature(int, Feature.Builder) - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeature(Feature) - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeature(Feature.Builder) - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeatureBuilder() - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeatureBuilder(int) - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
addFeed(String) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be fed in the callable.
addFeedBytes(ByteString) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be fed in the callable.
addFetch(String) - Method in class org.tensorflow.proto.CallableOptions.Builder: Fetches.
addFetchBytes(ByteString) - Method in class org.tensorflow.proto.CallableOptions.Builder: Fetches.
addFileLineCols(int, GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
addFileLineCols(int, GraphDebugInfo.FileLineCol.Builder) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
addFileLineCols(GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
addFileLineCols(GraphDebugInfo.FileLineCol.Builder) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
addFileLineColsBuilder() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
addFileLineColsBuilder(int) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
addFiles(String) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
addFilesBytes(ByteString) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
addFloatVal(float) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_FLOAT.
addFrameId(long) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: repeated fixed64 frame_id = 2 [packed = true];
addFrameworkType(String) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: List of frameworks used to generate this dataset.
addFrameworkTypeBytes(ByteString) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: List of frameworks used to generate this dataset.
addFullShape(long) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of the full variable.
addFunc(int, NameAttrList) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
addFunc(int, NameAttrList.Builder) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
addFunc(NameAttrList) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
addFunc(NameAttrList.Builder) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
addFuncBuilder() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
addFuncBuilder(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
addFunction(int, FunctionDef) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunction(int, FunctionDef.Builder) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunction(FunctionDef) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunction(FunctionDef.Builder) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunctionBuilder() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunctionBuilder(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
addFunctionGraphs(int, RunMetadata.FunctionGraphs) - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addFunctionGraphs(int, RunMetadata.FunctionGraphs.Builder) - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addFunctionGraphs(RunMetadata.FunctionGraphs) - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addFunctionGraphs(RunMetadata.FunctionGraphs.Builder) - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addFunctionGraphsBuilder() - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addFunctionGraphsBuilder(int) - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
addGapTimes(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: repeated uint64 gap_times = 6;
addGradient(int, GradientDef) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradient(int, GradientDef.Builder) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradient(GradientDef) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradient(GradientDef.Builder) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradientBuilder() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradientBuilder(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
addGradients(String, Output[], Output[], Output[]) - Method in class org.tensorflow.Graph: Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...
addGradients(Output, Output[]) - Method in class org.tensorflow.Graph: Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., dy/dx_1, dy/dx_2...
addGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addGraphInputNodeInfo(GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addGraphInputNodeInfo(GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addGraphInputNodeInfoBuilder() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addGraphInputNodeInfoBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
addGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfoBuilder() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfoBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addHalfVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
addHandleData(int, ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
addHandleData(int, ResourceHandleProto.DtypeAndShape.Builder) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
addHandleData(ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
addHandleData(ResourceHandleProto.DtypeAndShape.Builder) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
addHandleDataBuilder() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
addHandleDataBuilder(int) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
addHostMemoryArg(String) - Method in class org.tensorflow.proto.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
addHostMemoryArgBytes(ByteString) - Method in class org.tensorflow.proto.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
addHostnames(String) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: List of hostnames that XPlanes are generated from.
addHostnamesBytes(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: List of hostnames that XPlanes are generated from.
addI(long) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(int)"
addInArg(int, ApiDef.Arg) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArg(ApiDef.Arg) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArg(ApiDef.Arg.Builder) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArgBuilder() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArgBuilder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInput(String) - Method in class org.tensorflow.proto.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
addInput(Output) - Method in class org.tensorflow.GraphOperationBuilder
addInput(Output) - Method in interface org.tensorflow.OperationBuilder: Add the output of another operation as the next input of the operation being built.
addInputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
addInputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
addInputArg(OpDef.ArgDef) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
addInputArg(OpDef.ArgDef.Builder) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
addInputArgBuilder() - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
addInputArgBuilder(int) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
addInputBytes(ByteString) - Method in class org.tensorflow.proto.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
addInputInfo(int, CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfo(int, CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfo(CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfo(CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfoBuilder() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfoBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputList(Output[]) - Method in class org.tensorflow.GraphOperationBuilder
addInputList(Output[]) - Method in interface org.tensorflow.OperationBuilder: Add the outputs of another operation as the next inputs of the operation being built.
addInputNames(String) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Names of the input tensors to the op.
addInputNamesBytes(ByteString) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Names of the input tensors to the op.
addInputs(int, OpPerformanceData.OpInfo.TensorProperties) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addInputs(int, OpPerformanceData.OpInfo.TensorProperties.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addInputs(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: IDs of inputs of this node.
addInputs(OpPerformanceData.OpInfo.TensorProperties) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addInputs(OpPerformanceData.OpInfo.TensorProperties.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addInputsBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addInputsBuilder(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
addInputSpatialDimensions(long) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the input.
addInputTensorIds(long) - Method in class org.tensorflow.proto.Execution.Builder: IDs of the input tensors (if available).
addInputTensorsAsShapesNeeded(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_as_shapes_needed = 2;
addInputTensorsNeeded(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_needed = 1;
addInstrumentedOps(String) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Names of the instrumented ops.
addInstrumentedOpsBytes(ByteString) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Names of the instrumented ops.
addInt64Val(long) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT64
addIntVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
addJob(int, JobDef) - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
addJob(int, JobDef.Builder) - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
addJob(JobDef) - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
addJob(JobDef.Builder) - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
addJobBuilder() - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
addJobBuilder(int) - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
addJobs(int, JobDeviceFilters) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addJobs(int, JobDeviceFilters.Builder) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addJobs(JobDeviceFilters) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addJobs(JobDeviceFilters.Builder) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addJobsBuilder() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addJobsBuilder(int) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
addKernel(int, KernelDef) - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernel(int, KernelDef.Builder) - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernel(KernelDef) - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernel(KernelDef.Builder) - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernelBuilder() - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernelBuilder(int) - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
addKernelSpatialDimensions(long) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the kernel (rhs).
addLines(int, Xplane.XLine) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
addLines(int, Xplane.XLine.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
addLines(String) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
addLines(String) - Method in class org.tensorflow.proto.SourceFile.Builder: Line-by-line content of the file.
addLines(Xplane.XLine) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
addLines(Xplane.XLine.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
addLinesBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
addLinesBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
addLinesBytes(ByteString) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
addLinesBytes(ByteString) - Method in class org.tensorflow.proto.SourceFile.Builder: Line-by-line content of the file.
addLink(int, InterconnectLink) - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLink(int, InterconnectLink.Builder) - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLink(InterconnectLink) - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLink(InterconnectLink.Builder) - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLinkBuilder() - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLinkBuilder(int) - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
addLoopEnterNames(String) - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for enter tensors.
addLoopEnterNamesBytes(ByteString) - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for enter tensors.
addLoopExitNames(String) - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for exit tensors.
addLoopExitNamesBytes(ByteString) - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for exit tensors.
addManySparseToTensorsMap(Operand, Operand, Operand, AddManySparseToTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps: Add an N-minibatch SparseTensor to a SparseTensorsMap, return N handles.
AddManySparseToTensorsMap - Class in org.tensorflow.op.sparse: Add an N-minibatch SparseTensor to a SparseTensorsMap, return N handles.
AddManySparseToTensorsMap(Operation) - Constructor for class org.tensorflow.op.sparse.AddManySparseToTensorsMap
AddManySparseToTensorsMap.Inputs - Class in org.tensorflow.op.sparse
AddManySparseToTensorsMap.Options - Class in org.tensorflow.op.sparse: Optional attributes for AddManySparseToTensorsMap
addMaxByteSize(int) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
addMemory(int, AllocatorMemoryUsed) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemory(int, AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemory(AllocatorMemoryUsed) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemory(AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemoryBuilder() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemoryBuilder(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemoryLimitMb(float) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
addMetaGraphs(int, MetaGraphDef) - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphs(int, MetaGraphDef.Builder) - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphs(MetaGraphDef) - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphs(MetaGraphDef.Builder) - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphsBuilder() - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
addMetaGraphsBuilder(int) - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
addMetrics(int, MetricEntry) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
addMetrics(int, MetricEntry.Builder) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
addMetrics(MetricEntry) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
addMetrics(MetricEntry.Builder) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
addMetricsBuilder() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
addMetricsBuilder(int) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
addN(Iterable) - Method in class org.tensorflow.op.MathOps: Add all input tensors element wise.
AddN<T> - Class in org.tensorflow.op.math: Add all input tensors element wise.
AddN(Operation) - Constructor for class org.tensorflow.op.math.AddN
AddN.Inputs<T> - Class in org.tensorflow.op.math
addNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addNestedContexts(ControlFlowContextDef) - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addNestedContexts(ControlFlowContextDef) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addNestedContexts(ControlFlowContextDef.Builder) - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addNestedContexts(ControlFlowContextDef.Builder) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addNestedContextsBuilder() - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addNestedContextsBuilder() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addNestedContextsBuilder(int) - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
addNestedContextsBuilder(int) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
addNode(int, CostGraphDef.Node) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(int, CostGraphDef.Node.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(int, NodeDef) - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNode(int, NodeDef.Builder) - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNode(CostGraphDef.Node) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(CostGraphDef.Node.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(NodeDef) - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNode(NodeDef.Builder) - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNodeBuilder() - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNodeBuilder() - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNodeBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
addNodeBuilder(int) - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
addNodeDef(int, NodeDef) - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDef(int, NodeDef.Builder) - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDef(NodeDef) - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDef(NodeDef.Builder) - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDefBuilder() - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDefBuilder(int) - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeInfo(int, GraphTransferNodeInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(int, GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(GraphTransferNodeInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfoBuilder() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfoBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInput(int, GraphTransferNodeInput) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(int, GraphTransferNodeInput.Builder) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(GraphTransferNodeInput) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(GraphTransferNodeInput.Builder) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputBuilder() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputBuilder(int) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputInfo(int, GraphTransferNodeInputInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(int, GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(GraphTransferNodeInputInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfoBuilder() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfoBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeOutputInfo(int, GraphTransferNodeOutputInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(int, GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(GraphTransferNodeOutputInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfoBuilder() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfoBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodes(int, SavedObjectGraphOuterClass.SavedObject) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addNodes(int, SavedObjectGraphOuterClass.SavedObject.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addNodes(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addNodes(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addNodes(SavedObjectGraphOuterClass.SavedObject) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addNodes(SavedObjectGraphOuterClass.SavedObject.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addNodes(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addNodes(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addNodesBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addNodesBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addNodesBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
addNodesBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
addNodeStats(int, NodeExecStats) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStats(int, NodeExecStats.Builder) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStats(NodeExecStats) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStats(NodeExecStats.Builder) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStatsBuilder() - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStatsBuilder(int) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
addOp(int, ApiDef) - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOp(int, ApiDef.Builder) - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOp(int, OpDef) - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOp(int, OpDef.Builder) - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOp(ApiDef) - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOp(ApiDef.Builder) - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOp(OpDef) - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOp(OpDef.Builder) - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOpBuilder() - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOpBuilder() - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOpBuilder(int) - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
addOpBuilder(int) - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
addOpPerformance(int, OpPerformanceData.OpPerformance) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addOpPerformance(int, OpPerformanceData.OpPerformance.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addOpPerformance(OpPerformanceData.OpPerformance) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addOpPerformance(OpPerformanceData.OpPerformance.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addOpPerformanceBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addOpPerformanceBuilder(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
addOptimizers(String) - Method in class org.tensorflow.proto.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addOptimizersBytes(ByteString) - Method in class org.tensorflow.proto.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addOpts(String) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: Bazel compilation options, if known
addOptsBytes(ByteString) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: Bazel compilation options, if known
addOriginalFuncNames(String) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
addOriginalFuncNamesBytes(ByteString) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
addOriginalNodeNames(String) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
addOriginalNodeNamesBytes(ByteString) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
addOutArg(int, ApiDef.Arg) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArg(ApiDef.Arg) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArg(ApiDef.Arg.Builder) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArgBuilder() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArgBuilder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutput(int, NodeOutput) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutput(int, NodeOutput.Builder) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutput(NodeOutput) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutput(NodeOutput.Builder) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
addOutputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
addOutputArg(OpDef.ArgDef) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
addOutputArg(OpDef.ArgDef.Builder) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
addOutputArgBuilder() - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
addOutputArgBuilder(int) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
addOutputBuilder() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutputBuilder(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
addOutputInfo(int, CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfo(int, CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfo(CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfo(CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfoBuilder() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfoBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputMemory(long) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
addOutputs(int, OpPerformanceData.OpInfo.TensorProperties) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
addOutputs(int, OpPerformanceData.OpInfo.TensorProperties.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
addOutputs(OpPerformanceData.OpInfo.TensorProperties) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
addOutputs(OpPerformanceData.OpInfo.TensorProperties.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
addOutputsBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
addOutputsBuilder(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
addOutputSpatialDimensions(long) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the output.
addOutputTensorDeviceIds(int) - Method in class org.tensorflow.proto.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
addOutputTensorIds(int) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
addOutputTensorIds(long) - Method in class org.tensorflow.proto.Execution.Builder: IDs of the output tensors (if availbable).
addParameters(int, Model.ModelProto.Node.Parameter) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
addParameters(int, Model.ModelProto.Node.Parameter.Builder) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
addParameters(Model.ModelProto.Node.Parameter) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
addParameters(Model.ModelProto.Node.Parameter.Builder) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
addParametersBuilder() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
addParametersBuilder(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
addPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addPartitionGraphs(GraphDef) - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphs(GraphDef) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addPartitionGraphs(GraphDef.Builder) - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphs(GraphDef.Builder) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addPartitionGraphsBuilder() - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphsBuilder() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addPartitionGraphsBuilder(int) - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
addPartitionGraphsBuilder(int) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
addPersistentTensorAllocIds(long) - Method in class org.tensorflow.proto.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
addPlanes(int, Xplane.XPlane) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addPlanes(int, Xplane.XPlane.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addPlanes(Xplane.XPlane) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addPlanes(Xplane.XPlane.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addPlanesBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addPlanesBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
addPriority(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
addQueueClosedExceptionTypes(Code) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addRecoverableJobs(String) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: The list of jobs which are recoverable.
addRecoverableJobsBytes(ByteString) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: The list of jobs which are recoverable.
addReferencedTensor(int, AllocationDescription) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensor(int, AllocationDescription.Builder) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensor(AllocationDescription) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensor(AllocationDescription.Builder) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensorBuilder() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensorBuilder(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addRegisteredGradients(int, RegisteredGradient) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addRegisteredGradients(int, RegisteredGradient.Builder) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addRegisteredGradients(RegisteredGradient) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addRegisteredGradients(RegisteredGradient.Builder) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addRegisteredGradientsBuilder() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addRegisteredGradientsBuilder(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AllocationDescription.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AllocationRecord.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ApiDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ApiDefs.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AssetFileDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AttrValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BuildConfiguration.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BundleEntryProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BytesList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CallableOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ClusterDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CodeLocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CollectionDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CommitId.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CondContextDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ConfigProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CostGraphDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CPUInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebugEvent.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebuggedDevice.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebuggedGraph.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebugMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebugOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DeviceAttributes.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DeviceLocality.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DeviceStepStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.EntryValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Event.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Example.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Execution.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Feature.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FeatureList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FeatureLists.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Features.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FingerprintDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FloatList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FullTypeDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FunctionDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GPUInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GPUOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GradientDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphOpCreation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.HistogramProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Int64List.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.InterconnectLink.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.JobDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.KernelDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.KernelList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.LocalLinks.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MachineConfiguration.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryLogStep.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MetaGraphDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MetricEntry.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.NameAttrList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.NamedTensorProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.NodeDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.NodeExecStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.NodeOutput.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpDeprecation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OptimizerOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.PlatformInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ReaderBaseState.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RegisteredGradient.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RequestedExitCode.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RewriterConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RunConfiguration.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RunMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RunOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedModel.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedSlice.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SaverDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SequenceExample.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SerializedDType.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ServerDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SessionLog.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SessionMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SignatureDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SourceFile.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SourceMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.StackFrameWithId.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.StatusProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.StepStats.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.DictValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.ListValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.PairValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Summary.Audio.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Summary.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Summary.Image.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Summary.Value.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SummaryDescription.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SummaryMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorConnection.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorDescription.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorShapeProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorSliceProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TestResults.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ValuesDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.VariableDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.VerifierConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.VersionDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.WatchdogConfig.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.WhileContextDef.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
addResourceDtypesAndShapes(int, ResourceDtypeAndShape) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addResourceDtypesAndShapes(int, ResourceDtypeAndShape.Builder) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addResourceDtypesAndShapes(ResourceDtypeAndShape) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addResourceDtypesAndShapes(ResourceDtypeAndShape.Builder) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addResourceDtypesAndShapesBuilder() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addResourceDtypesAndShapesBuilder(int) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
addResourceHandleVal(int, ResourceHandleProto) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
addResourceHandleVal(int, ResourceHandleProto.Builder) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
addResourceHandleVal(ResourceHandleProto) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
addResourceHandleVal(ResourceHandleProto.Builder) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
addResourceHandleValBuilder() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
addResourceHandleValBuilder(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
address - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The address input
address - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The address input
address - Variable in class org.tensorflow.op.train.DistributedSave.Inputs: The address input
ADDRESS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemChunk
addRetTypes(DataType) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Return node types of the function.
addRetTypesValue(int) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Return node types of the function.
addS(ByteString) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(string)"
addScomplexVal(float) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
addServiceAddresses(String) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
addServiceAddressesBytes(ByteString) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
addSessionInterOpThreadPool(int, ThreadPoolOptionProto) - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(int, ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(ThreadPoolOptionProto) - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPoolBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPoolBuilder(int) - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
addShape(int, TensorShapeProto) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
addShape(int, TensorShapeProto.Builder) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
addShape(long) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
addShape(long) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
addShape(long) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
addShape(TensorShapeProto) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
addShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
addShapeAndType(int, CppShapeInference.CppShapeInferenceResult.HandleShapeAndType) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
addShapeAndType(int, CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
addShapeAndType(CppShapeInference.CppShapeInferenceResult.HandleShapeAndType) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
addShapeAndType(CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
addShapeAndTypeBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
addShapeAndTypeBuilder(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
addShapeBuilder() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
addShapeBuilder(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
addSlice(int, TensorSliceProto) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addSlice(int, TensorSliceProto.Builder) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addSlice(TensorSliceProto) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addSlice(TensorSliceProto.Builder) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addSliceBuilder() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addSliceBuilder(int) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
addSlices(int, TensorSliceProto) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlices(int, TensorSliceProto.Builder) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlices(TensorSliceProto) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlices(TensorSliceProto.Builder) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlicesBuilder() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlicesBuilder(int) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
addSlotVariables(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
addSlotVariables(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addSlotVariables(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
addSlotVariables(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addSlotVariables(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
addSlotVariables(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addSlotVariables(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
addSlotVariables(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addSlotVariablesBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
addSlotVariablesBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addSlotVariablesBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
addSlotVariablesBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
addSnapShot(int, BfcMemoryMap.SnapShot) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addSnapShot(int, BfcMemoryMap.SnapShot.Builder) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addSnapShot(BfcMemoryMap.SnapShot) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addSnapShot(BfcMemoryMap.SnapShot.Builder) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addSnapShotBuilder() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addSnapShotBuilder(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
addSourceFiles(int, DebuggedSourceFile) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFiles(int, DebuggedSourceFile.Builder) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFiles(DebuggedSourceFile) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFiles(DebuggedSourceFile.Builder) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFilesBuilder() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
addSourceFilesBuilder(int) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
addSparseToTensorsMap(Operand, Operand, Operand, AddSparseToTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps: Add a SparseTensor to a SparseTensorsMap return its handle.
AddSparseToTensorsMap - Class in org.tensorflow.op.sparse: Add a SparseTensor to a SparseTensorsMap return its handle.
AddSparseToTensorsMap(Operation) - Constructor for class org.tensorflow.op.sparse.AddSparseToTensorsMap
AddSparseToTensorsMap.Inputs - Class in org.tensorflow.op.sparse
AddSparseToTensorsMap.Options - Class in org.tensorflow.op.sparse: Optional attributes for AddSparseToTensorsMap
addStackFrameIds(String) - Method in class org.tensorflow.proto.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
addStackFrameIdsBytes(ByteString) - Method in class org.tensorflow.proto.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
addStats(int, Xplane.XStat) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
addStats(int, Xplane.XStat) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addStats(int, Xplane.XStat) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
addStats(int, Xplane.XStat.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
addStats(int, Xplane.XStat.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addStats(int, Xplane.XStat.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
addStats(Xplane.XStat) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
addStats(Xplane.XStat) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addStats(Xplane.XStat) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
addStats(Xplane.XStat.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
addStats(Xplane.XStat.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addStats(Xplane.XStat.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
addStatsBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
addStatsBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addStatsBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
addStatsBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
addStatsBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
addStatsBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
addStringVal(ByteString) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_STRING
addTags(String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
addTagsBytes(ByteString) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
addTarget(String) - Method in class org.tensorflow.proto.CallableOptions.Builder: Target Nodes.
addTarget(String) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() execute operation, but not return any evaluated Tensors.
addTarget(Op) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() execute op, but not return any evaluated Tensors.
addTarget(Operation) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() execute operation, but not return any evaluated Tensors.
addTargetBytes(ByteString) - Method in class org.tensorflow.proto.CallableOptions.Builder: Target Nodes.
addTensor(int, SavedSliceMeta) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addTensor(int, SavedSliceMeta.Builder) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addTensor(int, TensorProto) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
addTensor(int, TensorProto) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addTensor(int, TensorProto.Builder) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
addTensor(int, TensorProto.Builder) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addTensor(SavedSliceMeta) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addTensor(SavedSliceMeta.Builder) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addTensor(TensorProto) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
addTensor(TensorProto) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addTensor(TensorProto.Builder) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
addTensor(TensorProto.Builder) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addTensorBuilder() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
addTensorBuilder() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addTensorBuilder() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addTensorBuilder(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
addTensorBuilder(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
addTensorBuilder(int) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
addTensorConnection(int, TensorConnection) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnection(int, TensorConnection.Builder) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnection(TensorConnection) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnection(TensorConnection.Builder) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnectionBuilder() - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorConnectionBuilder(int) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
addTensorContent(ByteString) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
addTensorMetadata(int, Snapshot.TensorMetadata) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addTensorMetadata(int, Snapshot.TensorMetadata.Builder) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addTensorMetadata(Snapshot.TensorMetadata) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addTensorMetadata(Snapshot.TensorMetadata.Builder) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addTensorMetadataBuilder() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addTensorMetadataBuilder(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
addTensorProtos(int, TensorProto) - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addTensorProtos(int, TensorProto.Builder) - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addTensorProtos(TensorProto) - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addTensorProtos(TensorProto.Builder) - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addTensorProtosBuilder() - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addTensorProtosBuilder(int) - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
addTensors(int, TensorProto) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensors(int, TensorProto.Builder) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensors(TensorProto) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensors(TensorProto.Builder) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensorsBuilder() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addTensorsBuilder(int) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
addType(DataType) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(type)"
addTypeValue(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(type)"
addUint32Val(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT32
addUint64Val(long) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT64
addUncompressedBytes(long) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
addValue(float) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
addValue(float) - Method in class org.tensorflow.proto.FloatList.Builder: repeated float value = 1 [packed = true];
addValue(int, Any) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValue(int, Any.Builder) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValue(int, Summary.Value) - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
addValue(int, Summary.Value.Builder) - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
addValue(long) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
addValue(long) - Method in class org.tensorflow.proto.Int64List.Builder: repeated int64 value = 1 [packed = true];
addValue(Any) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValue(Any.Builder) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValue(ByteString) - Method in class org.tensorflow.proto.BytesList.Builder: repeated bytes value = 1;
addValue(ByteString) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder: repeated bytes value = 1;
addValue(String) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder: repeated string value = 1;
addValue(Summary.Value) - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
addValue(Summary.Value.Builder) - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
addValueBuilder() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValueBuilder() - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
addValueBuilder(int) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
addValueBuilder(int) - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
addValueBytes(ByteString) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder: repeated string value = 1;
addValues(int, Struct.PairValue) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addValues(int, Struct.PairValue.Builder) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addValues(int, Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(int, Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(int, Struct.StructuredValue.Builder) - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(int, Struct.StructuredValue.Builder) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(String) - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names that have been seen in this context.
addValues(Struct.PairValue) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addValues(Struct.PairValue.Builder) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addValues(Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(Struct.StructuredValue.Builder) - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValues(Struct.StructuredValue.Builder) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValuesBuilder() - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValuesBuilder() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addValuesBuilder() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValuesBuilder(int) - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValuesBuilder(int) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
addValuesBuilder(int) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
addValuesBytes(ByteString) - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names that have been seen in this context.
addVariantVal(int, VariantTensorDataProto) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
addVariantVal(int, VariantTensorDataProto.Builder) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
addVariantVal(VariantTensorDataProto) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
addVariantVal(VariantTensorDataProto.Builder) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
addVariantValBuilder() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
addVariantValBuilder(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
addVarOffset(long) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
addVarShape(long) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of this variable.
addVirtualDevices(int, GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevices(int, GPUOptions.Experimental.VirtualDevices.Builder) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevices(GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevices(GPUOptions.Experimental.VirtualDevices.Builder) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevicesBuilder() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
addVirtualDevicesBuilder(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
addWarnings(String) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Warnings (if any) in the generation of planes;
addWarningsBytes(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Warnings (if any) in the generation of planes;
addWorkerAddresses(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.)
addWorkerAddressesBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.)
addWorkerLog(int, Event) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addWorkerLog(int, Event.Builder) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addWorkerLog(Event) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addWorkerLog(Event.Builder) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addWorkerLogBuilder() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addWorkerLogBuilder(int) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
addWorkerTags(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
addWorkerTagsBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
adjoint - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The adjoint attribute
adjoint - Variable in class org.tensorflow.op.linalg.BatchMatrixInverse.Inputs: The adjoint attribute
adjoint - Variable in class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs: The adjoint attribute
adjoint - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The adjoint attribute
adjoint - Variable in class org.tensorflow.op.linalg.Inv.Inputs: The adjoint attribute
adjoint - Variable in class org.tensorflow.op.linalg.Solve.Inputs: Boolean indicating whether to solve with matrix or its (block-wise) adjoint.
adjoint - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: Boolean indicating whether to solve with matrix or its (block-wise) adjoint.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BandedTriangularSolve: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BandedTriangularSolve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixInverse: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixInverse.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolve: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixSolve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.Inv: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.Inv.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.Solve: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.Solve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.TriangularSolve: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.TriangularSolve.Options: Sets the adjoint option.
adjointA - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Indicates whether a should be conjugate-transposed.
adjointA - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: Indicates whether a should be conjugate-transposed.
adjointA - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: Use the adjoint of A in the matrix multiply.
adjointA(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the adjointA option.
adjointA(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the adjointA option.
adjointA(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Sets the adjointA option.
adjointA(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Options: Sets the adjointA option.
adjointA(Boolean) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: Sets the adjointA option.
adjointA(Boolean) - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Options: Sets the adjointA option.
adjointB - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Indicates whether b should be conjugate-transposed.
adjointB - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: Indicates whether b should be conjugate-transposed.
adjointB - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: Use the adjoint of B in the matrix multiply.
adjointB(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the adjointB option.
adjointB(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the adjointB option.
adjointB(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Sets the adjointB option.
adjointB(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Options: Sets the adjointB option.
adjointB(Boolean) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: Sets the adjointB option.
adjointB(Boolean) - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Options: Sets the adjointB option.
adjustContrast(Operand, Operand) - Method in class org.tensorflow.op.ImageOps: Adjust the contrast of one or more images.
AdjustContrast<T> - Class in org.tensorflow.op.image: Adjust the contrast of one or more images.
AdjustContrast(Operation) - Constructor for class org.tensorflow.op.image.AdjustContrast
AdjustContrast.Inputs<T> - Class in org.tensorflow.op.image
adjustHue(Operand, Operand) - Method in class org.tensorflow.op.ImageOps: Adjust the hue of one or more images.
AdjustHue<T> - Class in org.tensorflow.op.image: Adjust the hue of one or more images.
AdjustHue(Operation) - Constructor for class org.tensorflow.op.image.AdjustHue
AdjustHue.Inputs<T> - Class in org.tensorflow.op.image
adjustSaturation(Operand, Operand) - Method in class org.tensorflow.op.ImageOps: Adjust the saturation of one or more images.
AdjustSaturation<T> - Class in org.tensorflow.op.image: Adjust the saturation of one or more images.
AdjustSaturation(Operation) - Constructor for class org.tensorflow.op.image.AdjustSaturation
AdjustSaturation.Inputs<T> - Class in org.tensorflow.op.image
adjX - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: If True, adjoint the slices of x.
adjX(Boolean) - Static method in class org.tensorflow.op.train.BatchMatMul: Sets the adjX option.
adjX(Boolean) - Method in class org.tensorflow.op.train.BatchMatMul.Options: Sets the adjX option.
adjY - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: If True, adjoint the slices of y.
adjY(Boolean) - Static method in class org.tensorflow.op.train.BatchMatMul: Sets the adjY option.
adjY(Boolean) - Method in class org.tensorflow.op.train.BatchMatMul.Options: Sets the adjY option.
AGENT_DESTRUCTION_WITHOUT_SHUTDOWN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
aggregateToTopk - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: When true, aggregates approximate results to top-k.
aggregateToTopk(Boolean) - Static method in class org.tensorflow.op.core.ApproxTopK: Sets the aggregateToTopk option.
aggregateToTopk(Boolean) - Method in class org.tensorflow.op.core.ApproxTopK.Options: Sets the aggregateToTopk option.
AGGREGATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
AGGREGATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VariableDef
aggregationWeights - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of rank 1 Tensors containing per training example aggregation weights.
aggregationWeights - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The aggregationWeights input
aggregationWeights - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of rank 1 Tensors containing per training example aggregation weights.
aggregationWeights - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of rank 1 Tensors containing per training example aggregation weights.
aggregationWeights - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A list of rank 1 Tensors containing per sample -- i.e. per (training example, feature) -- aggregation weights.
aggregationWeights - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of rank 1 Tensors containing per training example aggregation weights.
AGGRESSIVE - Enum constant in enum org.tensorflow.proto.RewriterConfig.Toggle: Enable some aggressive optimizations that use assumptions that TF graphs may break.
AGGRESSIVE_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.Toggle: Enable some aggressive optimizations that use assumptions that TF graphs may break.
aIndices - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: 2-D.
aIsSparse - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The aIsSparse attribute
aIsSparse(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Sets the aIsSparse option.
aIsSparse(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options: Sets the aIsSparse option.
alg - Variable in class org.tensorflow.op.core.StochasticCastToInt.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.experimental.StatelessShuffle.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.RngReadAndSkip.Inputs: The RNG algorithm.
alg - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: The RNG algorithm (shape int32[]).
alg() - Method in class org.tensorflow.op.random.StatelessRandomGetAlg: Gets alg.
alg() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: Gets alg.
algorithm - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The algorithm attribute
algorithm - Variable in class org.tensorflow.op.random.RngSkip.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The algorithm input
algorithm - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The RNG algorithm.
algorithm(Long) - Static method in class org.tensorflow.op.data.ModelDataset: Sets the algorithm option.
algorithm(Long) - Method in class org.tensorflow.op.data.ModelDataset.Options: Sets the algorithm option.
ALGORITHM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
ALIAS_INPUT_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
align - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: Some diagonals are shorter than max_diag_len and need to be padded.
align - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: Some diagonals are shorter than max_diag_len and need to be padded.
align - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: Some diagonals are shorter than max_diag_len and need to be padded.
align(String) - Static method in class org.tensorflow.op.linalg.MatrixDiagPartV3: Sets the align option.
align(String) - Method in class org.tensorflow.op.linalg.MatrixDiagPartV3.Options: Sets the align option.
align(String) - Static method in class org.tensorflow.op.linalg.MatrixDiagV3: Sets the align option.
align(String) - Method in class org.tensorflow.op.linalg.MatrixDiagV3.Options: Sets the align option.
align(String) - Static method in class org.tensorflow.op.linalg.MatrixSetDiag: Sets the align option.
align(String) - Method in class org.tensorflow.op.linalg.MatrixSetDiag.Options: Sets the align option.
alignCorners - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners - Variable in class org.tensorflow.op.image.ResizeArea.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: If true, the centers of the 4 corner pixels of the input and grad tensors are aligned.
alignCorners - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: If true, the centers of the 4 corner pixels of the input and grad tensors are aligned.
alignCorners - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: If true, the centers of the 4 corner pixels of the input and grad tensors are aligned.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.QuantizedResizeBilinear: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.QuantizedResizeBilinear.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeArea: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeArea.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubic: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubic.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubicGrad: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubicGrad.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinear: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinear.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinearGrad: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinearGrad.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighbor: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighbor.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighborGrad: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Options: Sets the alignCorners option.
all(Operand, Operand, All.Options...) - Method in class org.tensorflow.op.Ops: Computes the "logical and" of elements across dimensions of a tensor.
All - Class in org.tensorflow.op.core: Computes the "logical and" of elements across dimensions of a tensor.
All(Operation) - Constructor for class org.tensorflow.op.core.All
ALL_END_REL_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
ALL_END_REL_NANOS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
ALL_START_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
ALL_START_NANOS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
All.Inputs - Class in org.tensorflow.op.core
All.Options - Class in org.tensorflow.op.core: Optional attributes for All
allAxes(Scope, Operand) - Static method in class org.tensorflow.framework.op.math.Axes: Creates an Operand that has all axes contained in the Operand's shape.
allAxes(Operand) - Method in class org.tensorflow.framework.op.MathOps: Creates an Operand that has all axes contained in the Operand's shape.
allCandidateSampler(Operand, Long, Long, Boolean, AllCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps: Generates labels for candidate sampling with a learned unigram distribution.
AllCandidateSampler - Class in org.tensorflow.op.random: Generates labels for candidate sampling with a learned unigram distribution.
AllCandidateSampler(Operation) - Constructor for class org.tensorflow.op.random.AllCandidateSampler
AllCandidateSampler.Inputs - Class in org.tensorflow.op.random
AllCandidateSampler.Options - Class in org.tensorflow.op.random: Optional attributes for AllCandidateSampler
ALLOC_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocationRecord
ALLOC_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocationRecord
ALLOCATED_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocationDescription
allocateTensor(int, long[], long) - Static method in class org.tensorflow.internal.c_api.AbstractTF_Tensor: Calls TF_AllocateTensor(), and registers a deallocator.
ALLOCATION_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorDescription
ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocationDescription
ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogRawAllocation
ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogRawDeallocation
ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogTensorDeallocation
ALLOCATION_RECORDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocatorMemoryUsed
AllocationDescription - Class in org.tensorflow.proto: Protobuf type tensorflow.AllocationDescription
AllocationDescription.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.AllocationDescription
AllocationDescriptionOrBuilder - Interface in org.tensorflow.proto
AllocationDescriptionProtos - Class in org.tensorflow.proto
AllocationRecord - Class in org.tensorflow.proto: An allocation/de-allocation operation performed by the allocator.
AllocationRecord.Builder - Class in org.tensorflow.proto: An allocation/de-allocation operation performed by the allocator.
AllocationRecordOrBuilder - Interface in org.tensorflow.proto
ALLOCATOR_BYTES_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocatorMemoryUsed
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocationDescription
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocatorMemoryUsed
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogRawAllocation
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogRawDeallocation
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogTensorDeallocation
ALLOCATOR_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions
AllocatorMemoryUsed - Class in org.tensorflow.proto: Protobuf type tensorflow.AllocatorMemoryUsed
AllocatorMemoryUsed.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.AllocatorMemoryUsed
AllocatorMemoryUsedOrBuilder - Interface in org.tensorflow.proto
ALLOW_GROWTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions
ALLOW_NEW_INCARNATION_TO_RECONNECT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
ALLOW_SOFT_PLACEMENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
ALLOWED_POSITIONAL_ARGUMENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
ALLOWED_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.KernelDef.AttrConstraint
ALLOWED_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.AttrDef
allowedBatchSizes - Variable in class org.tensorflow.op.core.Batch.Inputs: The allowedBatchSizes attribute
allowedBatchSizes - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Optional list of allowed batch sizes.
allowedBatchSizes(Long...) - Static method in class org.tensorflow.op.core.Batch: Sets the allowedBatchSizes option.
allowedBatchSizes(Long...) - Method in class org.tensorflow.op.core.Batch.Options: Sets the allowedBatchSizes option.
allowedBatchSizes(Long...) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the allowedBatchSizes option.
allowedBatchSizes(Long...) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the allowedBatchSizes option.
allowedBatchSizes(List) - Static method in class org.tensorflow.op.core.Batch: Sets the allowedBatchSizes option.
allowedBatchSizes(List) - Method in class org.tensorflow.op.core.Batch.Options: Sets the allowedBatchSizes option.
allowedBatchSizes(List) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the allowedBatchSizes option.
allowedBatchSizes(List) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the allowedBatchSizes option.
allowedDevices - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: DEPRECATED.
allowedDevices(String...) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the allowedDevices option.
allowedDevices(String...) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the allowedDevices option.
allowedDevices(List) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the allowedDevices option.
allowedDevices(List) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the allowedDevices option.
allowIdDropping - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The allowIdDropping attribute
allowMissingFiles - Variable in class org.tensorflow.op.train.MergeV2Checkpoints.Inputs: see above.
allowMissingFiles(Boolean) - Static method in class org.tensorflow.op.train.MergeV2Checkpoints: Sets the allowMissingFiles option.
allowMissingFiles(Boolean) - Method in class org.tensorflow.op.train.MergeV2Checkpoints.Options: Sets the allowMissingFiles option.
ALLOWS_UNINITIALIZED_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
allowSmallBatch - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: Allow to return less than num_elements items if barrier is already closed.
allowSmallBatch(Boolean) - Static method in class org.tensorflow.op.core.BarrierTakeMany: Sets the allowSmallBatch option.
allowSmallBatch(Boolean) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options: Sets the allowSmallBatch option.
allowSoftPlacement - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The allowSoftPlacement attribute
allowSoftPlacement - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The allowSoftPlacement attribute
allowSoftPlacement(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the allowSoftPlacement option.
allowSoftPlacement(Boolean) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the allowSoftPlacement option.
allowSoftPlacement(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the allowSoftPlacement option.
allowSoftPlacement(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the allowSoftPlacement option.
allToAll(Operand, Operand, Long, Long, Long) - Method in class org.tensorflow.op.TpuOps: An Op to exchange data across TPU replicas.
AllToAll<T> - Class in org.tensorflow.op.tpu: An Op to exchange data across TPU replicas.
AllToAll(Operation) - Constructor for class org.tensorflow.op.tpu.AllToAll
AllToAll.Inputs<T> - Class in org.tensorflow.op.tpu
alpha - Variable in class org.tensorflow.op.data.LeakyReluGrad.Inputs: The alpha attribute
alpha - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: A constant scalar.
alpha - Variable in class org.tensorflow.op.nn.LeakyRelu.Inputs: The alpha attribute
alpha - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: A scale factor, usually positive.
alpha - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: A scale factor, usually positive.
alpha - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: A tensor in which each scalar is a "shape" parameter describing the associated gamma distribution.
alpha - Variable in class org.tensorflow.op.random.RandomGammaGrad.Inputs: The alpha input
alpha - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The concentration of the gamma distribution.
alpha - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Must be a scalar.
alpha - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Must be a scalar.
alpha - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: Scaling factor.
alpha(Float) - Static method in class org.tensorflow.op.data.LeakyReluGrad: Sets the alpha option.
alpha(Float) - Method in class org.tensorflow.op.data.LeakyReluGrad.Options: Sets the alpha option.
alpha(Float) - Static method in class org.tensorflow.op.nn.LeakyRelu: Sets the alpha option.
alpha(Float) - Method in class org.tensorflow.op.nn.LeakyRelu.Options: Sets the alpha option.
alpha(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Sets the alpha option.
alpha(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options: Sets the alpha option.
alpha(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Sets the alpha option.
alpha(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options: Sets the alpha option.
ALPHA_DEFAULT - Static variable in class org.tensorflow.framework.activations.ReLU
ALREADY_EXISTS - Enum constant in enum org.tensorflow.proto.error.Code: Some entity that we attempted to create (e.g., file or directory) already exists.
ALREADY_EXISTS_VALUE - Static variable in enum org.tensorflow.proto.error.Code: Some entity that we attempted to create (e.g., file or directory) already exists.
ancestors - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: A list of names of HostCompute computations that must be sequenced before this computation.
anchors - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A 2-D float tensor of shape [num_anchors, 4] describing the anchor boxes.
ANDROID_BENCHMARK - Enum constant in enum org.tensorflow.proto.TestResults.BenchmarkType: ANDROID_BENCHMARK = 3;
ANDROID_BENCHMARK_VALUE - Static variable in enum org.tensorflow.proto.TestResults.BenchmarkType: ANDROID_BENCHMARK = 3;
angle(Operand) - Method in class org.tensorflow.op.MathOps: Returns the argument of a complex number.
angle(Operand, Class) - Method in class org.tensorflow.op.MathOps: Returns the argument of a complex number.
Angle - Class in org.tensorflow.op.math: Returns the argument of a complex number.
Angle(Operation) - Constructor for class org.tensorflow.op.math.Angle
Angle.Inputs - Class in org.tensorflow.op.math
anonymousHashTable(Class, Class) - Method in class org.tensorflow.op.Ops: Creates a uninitialized anonymous hash table.
AnonymousHashTable - Class in org.tensorflow.op.core: Creates a uninitialized anonymous hash table.
AnonymousHashTable(Operation) - Constructor for class org.tensorflow.op.core.AnonymousHashTable
AnonymousHashTable.Inputs - Class in org.tensorflow.op.core
anonymousIterator(List, List) - Method in class org.tensorflow.op.DataOps: A container for an iterator resource.
AnonymousIterator - Class in org.tensorflow.op.data: A container for an iterator resource.
AnonymousIterator(Operation) - Constructor for class org.tensorflow.op.data.AnonymousIterator
AnonymousIterator.Inputs - Class in org.tensorflow.op.data
anonymousMemoryCache() - Method in class org.tensorflow.op.DataOps: The AnonymousMemoryCache operation
AnonymousMemoryCache - Class in org.tensorflow.op.data: The AnonymousMemoryCache operation
AnonymousMemoryCache(Operation) - Constructor for class org.tensorflow.op.data.AnonymousMemoryCache
AnonymousMemoryCache.Inputs - Class in org.tensorflow.op.data
anonymousMultiDeviceIterator(List, List, List) - Method in class org.tensorflow.op.DataOps: A container for a multi device iterator resource.
AnonymousMultiDeviceIterator - Class in org.tensorflow.op.data: A container for a multi device iterator resource.
AnonymousMultiDeviceIterator(Operation) - Constructor for class org.tensorflow.op.data.AnonymousMultiDeviceIterator
AnonymousMultiDeviceIterator.Inputs - Class in org.tensorflow.op.data
anonymousMutableDenseHashTable(Operand, Operand, Class, AnonymousMutableDenseHashTable.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty anonymous mutable hash table that uses tensors as the backing store.
AnonymousMutableDenseHashTable - Class in org.tensorflow.op.core: Creates an empty anonymous mutable hash table that uses tensors as the backing store.
AnonymousMutableDenseHashTable(Operation) - Constructor for class org.tensorflow.op.core.AnonymousMutableDenseHashTable
AnonymousMutableDenseHashTable.Inputs<T> - Class in org.tensorflow.op.core
AnonymousMutableDenseHashTable.Options - Class in org.tensorflow.op.core: Optional attributes for AnonymousMutableDenseHashTable
anonymousMutableHashTable(Class, Class) - Method in class org.tensorflow.op.Ops: Creates an empty anonymous mutable hash table.
AnonymousMutableHashTable - Class in org.tensorflow.op.core: Creates an empty anonymous mutable hash table.
AnonymousMutableHashTable(Operation) - Constructor for class org.tensorflow.op.core.AnonymousMutableHashTable
AnonymousMutableHashTable.Inputs - Class in org.tensorflow.op.core
anonymousMutableHashTableOfTensors(Class, Class, AnonymousMutableHashTableOfTensors.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty anonymous mutable hash table of vector values.
AnonymousMutableHashTableOfTensors - Class in org.tensorflow.op.core: Creates an empty anonymous mutable hash table of vector values.
AnonymousMutableHashTableOfTensors(Operation) - Constructor for class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors
AnonymousMutableHashTableOfTensors.Inputs - Class in org.tensorflow.op.core
AnonymousMutableHashTableOfTensors.Options - Class in org.tensorflow.op.core: Optional attributes for AnonymousMutableHashTableOfTensors
anonymousRandomSeedGenerator(Operand, Operand) - Method in class org.tensorflow.op.RandomOps: The AnonymousRandomSeedGenerator operation
AnonymousRandomSeedGenerator - Class in org.tensorflow.op.random: The AnonymousRandomSeedGenerator operation
AnonymousRandomSeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.AnonymousRandomSeedGenerator
AnonymousRandomSeedGenerator.Inputs - Class in org.tensorflow.op.random
anonymousSeedGenerator(Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: The AnonymousSeedGenerator operation
AnonymousSeedGenerator - Class in org.tensorflow.op.random: The AnonymousSeedGenerator operation
AnonymousSeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.AnonymousSeedGenerator
AnonymousSeedGenerator.Inputs - Class in org.tensorflow.op.random
anotherDataset - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The anotherDataset input
antialias - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The antialias attribute
antialias - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The antialias attribute
antialias(Boolean) - Static method in class org.tensorflow.op.image.ScaleAndTranslate: Sets the antialias option.
antialias(Boolean) - Method in class org.tensorflow.op.image.ScaleAndTranslate.Options: Sets the antialias option.
antialias(Boolean) - Static method in class org.tensorflow.op.image.ScaleAndTranslateGrad: Sets the antialias option.
antialias(Boolean) - Method in class org.tensorflow.op.image.ScaleAndTranslateGrad.Options: Sets the antialias option.
any(Operand, Operand, Any.Options...) - Method in class org.tensorflow.op.Ops: Computes the "logical or" of elements across dimensions of a tensor.
Any - Class in org.tensorflow.op.core: Computes the "logical or" of elements across dimensions of a tensor.
Any(Operation) - Constructor for class org.tensorflow.op.core.Any
ANY_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
ANY_LIST - Enum constant in enum org.tensorflow.proto.CollectionDef.KindCase
ANY_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CollectionDef
Any.Inputs - Class in org.tensorflow.op.core
Any.Options - Class in org.tensorflow.op.core: Optional attributes for Any
AOT - Enum constant in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource: AOT = 1;
AOT_VALUE - Static variable in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource: AOT = 1;
ApiDef - Class in org.tensorflow.proto: Used to specify and override the default API & behavior in the generated code for client languages, from what you would get from the OpDef alone.
ApiDef.Arg - Class in org.tensorflow.proto: Protobuf type tensorflow.ApiDef.Arg
ApiDef.Arg.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.ApiDef.Arg
ApiDef.ArgOrBuilder - Interface in org.tensorflow.proto
ApiDef.Attr - Class in org.tensorflow.proto: Description of the graph-construction-time configuration of this Op.
ApiDef.Attr.Builder - Class in org.tensorflow.proto: Description of the graph-construction-time configuration of this Op.
ApiDef.AttrOrBuilder - Interface in org.tensorflow.proto
ApiDef.Builder - Class in org.tensorflow.proto: Used to specify and override the default API & behavior in the generated code for client languages, from what you would get from the OpDef alone.
ApiDef.Endpoint - Class in org.tensorflow.proto: If you specify any endpoint, this will replace all of the inherited endpoints.
ApiDef.Endpoint.Builder - Class in org.tensorflow.proto: If you specify any endpoint, this will replace all of the inherited endpoints.
ApiDef.EndpointOrBuilder - Interface in org.tensorflow.proto
ApiDef.Visibility - Enum in org.tensorflow.proto: Protobuf enum tensorflow.ApiDef.Visibility
ApiDefOrBuilder - Interface in org.tensorflow.proto
ApiDefProtos - Class in org.tensorflow.proto
ApiDefs - Class in org.tensorflow.proto: Protobuf type tensorflow.ApiDefs
ApiDefs.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.ApiDefs
ApiDefsOrBuilder - Interface in org.tensorflow.proto
append(Shape, int) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the dimensions of a shape followed by the last dimension.
append(Shape, long) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the dimensions of a shape followed by the last dimension.
append(Scope, Shape, int) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the dimensions of a shape followed by the last dimension.
append(Scope, Shape, long) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the dimensions of a shape followed by the last dimension.
append(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand that represents a new shape containing the dimensions of the operand representing a shape, followed by the dimensions of an operand representing a shape to append.
append(Operand, Operand) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand that represents a new shape containing the dimensions of the operand representing a shape, followed by the dimensions of an operand representing a shape to append.
apply(Graph, TFJ_Scope, GraphOperation, List) - Method in class org.tensorflow.AbstractGradientAdapter
apply(OperationBuilder) - Method in class org.tensorflow.op.NativeScope
apply(OperationBuilder) - Method in class org.tensorflow.op.OpScope
apply(OperationBuilder) - Method in interface org.tensorflow.op.Scope: Applies device specification and adds each Operand in controlDependencies as a control input to the provided builder.
APPLY_DEFAULT_OPTIMIZATIONS - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalApplyDefaultOptimizationsCase
APPLY_DEFAULT_OPTIMIZATIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
applyAdadelta(Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adadelta scheme.
ApplyAdadelta<T> - Class in org.tensorflow.op.train: Update '*var' according to the adadelta scheme. accum = rho() * accum + (1 - rho()) * grad.square(); update = (update_accum + epsilon).sqrt() * (accum + epsilon()).rsqrt() * grad; update_accum = rho() * update_accum + (1 - rho()) * update.square(); var -= update;
ApplyAdadelta(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdadelta
ApplyAdadelta.Inputs<T> - Class in org.tensorflow.op.train
ApplyAdadelta.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdadelta
applyAdagrad(Operand, Operand, Operand, Operand, ApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adagrad scheme.
ApplyAdagrad<T> - Class in org.tensorflow.op.train: Update '*var' according to the adagrad scheme. accum += grad * grad var -= lr * grad * (1 / sqrt(accum))
ApplyAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdagrad
ApplyAdagrad.Inputs<T> - Class in org.tensorflow.op.train
ApplyAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdagrad
applyAdagradDa(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the proximal adagrad scheme.
ApplyAdagradDa<T> - Class in org.tensorflow.op.train: Update '*var' according to the proximal adagrad scheme.
ApplyAdagradDa(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdagradDa
ApplyAdagradDa.Inputs<T> - Class in org.tensorflow.op.train
ApplyAdagradDa.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdagradDa
applyAdagradV2(Operand, Operand, Operand, Operand, Operand, ApplyAdagradV2.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adagrad scheme.
ApplyAdagradV2<T> - Class in org.tensorflow.op.train: Update '*var' according to the adagrad scheme. accum += grad * grad var -= lr * grad * (1 / sqrt(accum))
ApplyAdagradV2(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdagradV2
ApplyAdagradV2.Inputs<T> - Class in org.tensorflow.op.train
ApplyAdagradV2.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdagradV2
applyAdam(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyAdam.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Adam algorithm.
ApplyAdam<T> - Class in org.tensorflow.op.train: Update '*var' according to the Adam algorithm.
ApplyAdam(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdam
ApplyAdam.Inputs<T> - Class in org.tensorflow.op.train
ApplyAdam.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdam
applyAdaMax(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyAdaMax.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AdaMax algorithm.
ApplyAdaMax<T> - Class in org.tensorflow.op.train: Update '*var' according to the AdaMax algorithm. m_t <- beta1 * m_{t-1} + (1 - beta1) * g v_t <- max(beta2 * v_{t-1}, abs(g)) variable <- variable - learning_rate / (1 - beta1^t) * m_t / (v_t + epsilon)
ApplyAdaMax(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdaMax
ApplyAdaMax.Inputs<T> - Class in org.tensorflow.op.train
ApplyAdaMax.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdaMax
applyAddSign(Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyAddSign.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AddSign update.
ApplyAddSign<T> - Class in org.tensorflow.op.train: Update '*var' according to the AddSign update. m_t <- beta1 * m_{t-1} + (1 - beta1) * g update <- (alpha + sign_decay * sign(g) *sign(m)) * g variable <- variable - lr_t * update
ApplyAddSign(Operation) - Constructor for class org.tensorflow.op.train.ApplyAddSign
ApplyAddSign.Inputs<T> - Class in org.tensorflow.op.train
ApplyAddSign.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAddSign
applyCenteredRmsProp(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the centered RMSProp algorithm.
ApplyCenteredRmsProp<T> - Class in org.tensorflow.op.train: Update '*var' according to the centered RMSProp algorithm.
ApplyCenteredRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ApplyCenteredRmsProp
ApplyCenteredRmsProp.Inputs<T> - Class in org.tensorflow.op.train
ApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyCenteredRmsProp
applyDense(Ops, Output, Output) - Method in class org.tensorflow.framework.optimizers.AdaDelta: Generates the gradient update operations for the specific variable and gradient.
applyDense(Ops, Output, Output) - Method in class org.tensorflow.framework.optimizers.AdaGrad: Generates the gradient update operations for the specific variable and gradient.
applyDense(Ops, Output, Output) - Method in class org.tensorflow.framework.optimizers.AdaGradDA: Generates the gradient update operations for the specific variable and gradient.
applyDense(Ops, Output, Output) - Method in class org.tensorflow.framework.optimizers.Adam: Generates the gradient update operations for the specific variable and gradient.
applyDense(Ops, Output, Output) - Method in class org.tensorflow.framework.optimizers.Adamax: Generates the gradient update operations for the specific variable and gradient.
applyDense(Ops, Output, Output) - Method in class org.tensorflow.framework.optimizers.Ftrl: Generates the gradient update operations for the specific variable and gradient.
applyDense(Ops, Output, Output) - Method in class org.tensorflow.framework.optimizers.GradientDescent: Generates the gradient update operations for the specific variable and gradient.
applyDense(Ops, Output, Output) - Method in class org.tensorflow.framework.optimizers.Momentum: Generates the gradient update operations for the specific variable and gradient.
applyDense(Ops, Output, Output) - Method in class org.tensorflow.framework.optimizers.Nadam: Generates the gradient update operations for the specific variable and gradient.
applyDense(Ops, Output, Output) - Method in class org.tensorflow.framework.optimizers.Optimizer: Generates the gradient update operations for the specific variable and gradient.
applyDense(Ops, Output, Output) - Method in class org.tensorflow.framework.optimizers.RMSProp: Generates the gradient update operations for the specific variable and gradient.
applyFtrl(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Ftrl-proximal scheme.
ApplyFtrl<T> - Class in org.tensorflow.op.train: Update '*var' according to the Ftrl-proximal scheme. grad_with_shrinkage = grad + 2 * l2_shrinkage * var accum_new = accum + grad * grad linear += grad_with_shrinkage - (accum_new^(-lr_power) - accum^(-lr_power)) / lr * var quadratic = 1.0 / (accum_new^(lr_power) * lr) + 2 * l2 var = (sign(linear) * l1 - linear) / quadratic if |linear| > l1 else 0.0 accum = accum_new
ApplyFtrl(Operation) - Constructor for class org.tensorflow.op.train.ApplyFtrl
ApplyFtrl.Inputs<T> - Class in org.tensorflow.op.train
ApplyFtrl.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyFtrl
applyGradientDescent(Operand, Operand, Operand, ApplyGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' by subtracting 'alpha' * 'delta' from it.
ApplyGradientDescent<T> - Class in org.tensorflow.op.train: Update '*var' by subtracting 'alpha' * 'delta' from it.
ApplyGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ApplyGradientDescent
ApplyGradientDescent.Inputs<T> - Class in org.tensorflow.op.train
ApplyGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyGradientDescent
applyGradients(List, String) - Method in class org.tensorflow.framework.optimizers.Optimizer: Applies gradients to variables
applyMomentum(Operand, Operand, Operand, Operand, Operand, ApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the momentum scheme.
ApplyMomentum<T> - Class in org.tensorflow.op.train: Update '*var' according to the momentum scheme.
ApplyMomentum(Operation) - Constructor for class org.tensorflow.op.train.ApplyMomentum
ApplyMomentum.Inputs<T> - Class in org.tensorflow.op.train
ApplyMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyMomentum
applyPowerSign(Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyPowerSign.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AddSign update.
ApplyPowerSign<T> - Class in org.tensorflow.op.train: Update '*var' according to the AddSign update. m_t <- beta1 * m_{t-1} + (1 - beta1) * g update <- exp(logbase * sign_decay * sign(g) * sign(m_t)) * g variable <- variable - lr_t * update
ApplyPowerSign(Operation) - Constructor for class org.tensorflow.op.train.ApplyPowerSign
ApplyPowerSign.Inputs<T> - Class in org.tensorflow.op.train
ApplyPowerSign.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyPowerSign
applyProximalAdagrad(Operand, Operand, Operand, Operand, Operand, Operand, ApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
ApplyProximalAdagrad<T> - Class in org.tensorflow.op.train: Update '*var' and '*accum' according to FOBOS with Adagrad learning rate. accum += grad * grad prox_v = var - lr * grad * (1 / sqrt(accum)) var = sign(prox_v)/(1+lrl2) * max{|prox_v|-lrl1,0}
ApplyProximalAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ApplyProximalAdagrad
ApplyProximalAdagrad.Inputs<T> - Class in org.tensorflow.op.train
ApplyProximalAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyProximalAdagrad
applyProximalGradientDescent(Operand, Operand, Operand, Operand, Operand, ApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' as FOBOS algorithm with fixed learning rate.
ApplyProximalGradientDescent<T> - Class in org.tensorflow.op.train: Update '*var' as FOBOS algorithm with fixed learning rate. prox_v = var - alpha * delta var = sign(prox_v)/(1+alphal2) * max{|prox_v|-alphal1,0}
ApplyProximalGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ApplyProximalGradientDescent
ApplyProximalGradientDescent.Inputs<T> - Class in org.tensorflow.op.train
ApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyProximalGradientDescent
applyRmsProp(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the RMSProp algorithm.
ApplyRmsProp<T> - Class in org.tensorflow.op.train: Update '*var' according to the RMSProp algorithm.
ApplyRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ApplyRmsProp
ApplyRmsProp.Inputs<T> - Class in org.tensorflow.op.train
ApplyRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyRmsProp
approximateEqual(Operand, Operand, ApproximateEqual.Options...) - Method in class org.tensorflow.op.MathOps: Returns the truth value of abs(x-y) < tolerance element-wise.
ApproximateEqual - Class in org.tensorflow.op.math: Returns the truth value of abs(x-y) < tolerance element-wise.
ApproximateEqual(Operation) - Constructor for class org.tensorflow.op.math.ApproximateEqual
ApproximateEqual.Inputs<T> - Class in org.tensorflow.op.math
ApproximateEqual.Options - Class in org.tensorflow.op.math: Optional attributes for ApproximateEqual
approxTopK(Operand, Long, ApproxTopK.Options...) - Method in class org.tensorflow.op.Ops: Returns min/max k values and their indices of the input operand in an approximate manner.
ApproxTopK<T> - Class in org.tensorflow.op.core: Returns min/max k values and their indices of the input operand in an approximate manner.
ApproxTopK(Operation) - Constructor for class org.tensorflow.op.core.ApproxTopK
ApproxTopK.Inputs<T> - Class in org.tensorflow.op.core
ApproxTopK.Options - Class in org.tensorflow.op.core: Optional attributes for ApproxTopK
areaRange - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: The cropped area of the image must contain a fraction of the supplied image within this range.
areaRange - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The cropped area of the image must contain a fraction of the supplied image within this range.
areaRange(Float...) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the areaRange option.
areaRange(Float...) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the areaRange option.
areaRange(Float...) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the areaRange option.
areaRange(Float...) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the areaRange option.
areaRange(List) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the areaRange option.
areaRange(List) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the areaRange option.
areaRange(List) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the areaRange option.
areaRange(List) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the areaRange option.
ARG_ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FunctionDef
ARG_ORDER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
argmax - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The indices of the maximum values chosen for each output of max_pool.
argmax - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The indices of the maximum values chosen for each output of max_pool.
argmax() - Method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Gets argmax. 4-D.
argMax(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns the index with the largest value across dimensions of a tensor.
argMax(Operand, Operand, Class) - Method in class org.tensorflow.op.MathOps: Returns the index with the largest value across dimensions of a tensor.
ArgMax<V> - Class in org.tensorflow.op.math: Returns the index with the largest value across dimensions of a tensor.
ArgMax(Operation) - Constructor for class org.tensorflow.op.math.ArgMax
ArgMax.Inputs - Class in org.tensorflow.op.math
argMin(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns the index with the smallest value across dimensions of a tensor.
argMin(Operand, Operand, Class) - Method in class org.tensorflow.op.MathOps: Returns the index with the smallest value across dimensions of a tensor.
ArgMin<V> - Class in org.tensorflow.op.math: Returns the index with the smallest value across dimensions of a tensor.
ArgMin(Operation) - Constructor for class org.tensorflow.op.math.ArgMin
ArgMin.Inputs - Class in org.tensorflow.op.math
args - Variable in class org.tensorflow.op.core.PartitionedCall.Inputs: A list of input tensors.
args - Variable in class org.tensorflow.op.core.RemoteCall.Inputs: A list of arguments for the function.
args - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: A list of input tensors.
args - Variable in class org.tensorflow.op.tpu.Execute.Inputs: The args input
args - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The args input
args - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The arguments to the function.
ARGS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FullTypeDef
ARGUMENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunConfiguration
ARGUMENT_KEYWORDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
arguments - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of tensors whose types are `Targuments`, corresponding to the inputs the function should be mapped over.
ARITHMETIC_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
arr - Variable in class org.tensorflow.op.math.Bincount.Inputs: int32 Tensor.
array(boolean...) - Method in class org.tensorflow.op.Ops: Creates a constant of boolean elements.
array(byte...) - Method in class org.tensorflow.op.Ops: Creates a constant of byte elements.
array(double...) - Method in class org.tensorflow.op.Ops: Creates a constant of double elements.
array(float...) - Method in class org.tensorflow.op.Ops: Creates a constant of float elements.
array(int...) - Method in class org.tensorflow.op.Ops: Creates a constant of int elements.
array(long...) - Method in class org.tensorflow.op.Ops: Creates a constant of long elements.
array(String...) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements, using the default UTF-8 charset.
array(Charset, String...) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements, using the given charset.
arrayOf(Scope, boolean...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of boolean elements.
arrayOf(Scope, byte...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of byte elements.
arrayOf(Scope, double...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of double elements.
arrayOf(Scope, float...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of float elements.
arrayOf(Scope, int...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of int elements.
arrayOf(Scope, long...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of long elements.
arrayOf(Scope, String...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements, using the default UTF-8 charset.
arrayOf(Scope, Charset, String...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements, using the given charset.
ArrayOp - Static variable in class org.tensorflow.generator.op.Names
ArrayOperation - Static variable in class org.tensorflow.generator.op.Names
Arrays - Static variable in class org.tensorflow.generator.op.Names
asBytes() - Method in interface org.tensorflow.types.TString
aShape - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 1-D.
aShape - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: 1-D.
aShape - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: 1-D.
aShape - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: 1-D.
aShape - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: 1-D.
asin(Operand) - Method in class org.tensorflow.op.MathOps: Computes the trignometric inverse sine of x element-wise.
Asin<T> - Class in org.tensorflow.op.math: Computes the trignometric inverse sine of x element-wise.
Asin(Operation) - Constructor for class org.tensorflow.op.math.Asin
Asin.Inputs<T> - Class in org.tensorflow.op.math
asinh(Operand) - Method in class org.tensorflow.op.MathOps: Computes inverse hyperbolic sine of x element-wise.
Asinh<T> - Class in org.tensorflow.op.math: Computes inverse hyperbolic sine of x element-wise.
Asinh(Operation) - Constructor for class org.tensorflow.op.math.Asinh
Asinh.Inputs<T> - Class in org.tensorflow.op.math
asLoss() - Method in class org.tensorflow.framework.regularizers.AbstractRegularizer: Returns this AbstractRegularizer as a AbstractLoss This is a convenience to use regularize a loss.
asOutput() - Method in class org.tensorflow.op.audio.AudioSpectrogram
asOutput() - Method in class org.tensorflow.op.audio.EncodeWav
asOutput() - Method in class org.tensorflow.op.audio.Mfcc
asOutput() - Method in class org.tensorflow.op.bitwise.BitwiseAnd
asOutput() - Method in class org.tensorflow.op.bitwise.BitwiseOr
asOutput() - Method in class org.tensorflow.op.bitwise.BitwiseXor
asOutput() - Method in class org.tensorflow.op.bitwise.Invert
asOutput() - Method in class org.tensorflow.op.bitwise.LeftShift
asOutput() - Method in class org.tensorflow.op.bitwise.RightShift
asOutput() - Method in class org.tensorflow.op.cluster.KMC2ChainInitialization
asOutput() - Method in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization
asOutput() - Method in class org.tensorflow.op.collective.CollectiveAllToAll
asOutput() - Method in class org.tensorflow.op.collective.CollectiveBcastRecv
asOutput() - Method in class org.tensorflow.op.collective.CollectiveBcastSend
asOutput() - Method in class org.tensorflow.op.collective.CollectiveGather
asOutput() - Method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator
asOutput() - Method in class org.tensorflow.op.collective.CollectivePermute
asOutput() - Method in class org.tensorflow.op.collective.CollectiveReduce
asOutput() - Method in class org.tensorflow.op.collective.CollectiveReduceScatter
asOutput() - Method in class org.tensorflow.op.core.All
asOutput() - Method in class org.tensorflow.op.core.AnonymousHashTable
asOutput() - Method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable
asOutput() - Method in class org.tensorflow.op.core.AnonymousMutableHashTable
asOutput() - Method in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors
asOutput() - Method in class org.tensorflow.op.core.Any
asOutput() - Method in class org.tensorflow.op.core.Assign
asOutput() - Method in class org.tensorflow.op.core.AssignAdd
asOutput() - Method in class org.tensorflow.op.core.AssignSub
asOutput() - Method in class org.tensorflow.op.core.Barrier
asOutput() - Method in class org.tensorflow.op.core.BarrierIncompleteSize
asOutput() - Method in class org.tensorflow.op.core.BarrierReadySize
asOutput() - Method in class org.tensorflow.op.core.BatchToSpace
asOutput() - Method in class org.tensorflow.op.core.BatchToSpaceNd
asOutput() - Method in class org.tensorflow.op.core.Bitcast
asOutput() - Method in class org.tensorflow.op.core.BroadcastDynamicShape
asOutput() - Method in class org.tensorflow.op.core.BroadcastTo
asOutput() - Method in class org.tensorflow.op.core.Bucketize
asOutput() - Method in class org.tensorflow.op.core.CheckPinned
asOutput() - Method in class org.tensorflow.op.core.ClipByValue
asOutput() - Method in class org.tensorflow.op.core.CompositeTensorVariantFromComponents
asOutput() - Method in class org.tensorflow.op.core.Concat
asOutput() - Method in class org.tensorflow.op.core.Constant
asOutput() - Method in class org.tensorflow.op.core.Copy
asOutput() - Method in class org.tensorflow.op.core.CopyHost
asOutput() - Method in class org.tensorflow.op.core.CopyToMesh
asOutput() - Method in class org.tensorflow.op.core.CopyToMeshGrad
asOutput() - Method in class org.tensorflow.op.core.CountUpTo
asOutput() - Method in class org.tensorflow.op.core.DeepCopy
asOutput() - Method in class org.tensorflow.op.core.DestroyTemporaryVariable
asOutput() - Method in class org.tensorflow.op.core.DeviceIndex
asOutput() - Method in class org.tensorflow.op.core.DummyMemoryCache
asOutput() - Method in class org.tensorflow.op.core.DynamicStitch
asOutput() - Method in class org.tensorflow.op.core.EditDistance
asOutput() - Method in class org.tensorflow.op.core.Empty
asOutput() - Method in class org.tensorflow.op.core.EmptyTensorList
asOutput() - Method in class org.tensorflow.op.core.EmptyTensorMap
asOutput() - Method in class org.tensorflow.op.core.EncodeProto
asOutput() - Method in class org.tensorflow.op.core.EnsureShape
asOutput() - Method in class org.tensorflow.op.core.Enter
asOutput() - Method in class org.tensorflow.op.core.Exit
asOutput() - Method in class org.tensorflow.op.core.ExpandDims
asOutput() - Method in class org.tensorflow.op.core.ExtractVolumePatches
asOutput() - Method in class org.tensorflow.op.core.FakeParam
asOutput() - Method in class org.tensorflow.op.core.Fill
asOutput() - Method in class org.tensorflow.op.core.Fingerprint
asOutput() - Method in class org.tensorflow.op.core.Gather
asOutput() - Method in class org.tensorflow.op.core.GatherNd
asOutput() - Method in class org.tensorflow.op.core.GetOptions
asOutput() - Method in class org.tensorflow.op.core.GetSessionHandle
asOutput() - Method in class org.tensorflow.op.core.GetSessionTensor
asOutput() - Method in class org.tensorflow.op.core.GuaranteeConst
asOutput() - Method in class org.tensorflow.op.core.HashTable
asOutput() - Method in class org.tensorflow.op.core.HistogramFixedWidth
asOutput() - Method in class org.tensorflow.op.core.HostConst
asOutput() - Method in class org.tensorflow.op.core.Identity
asOutput() - Method in class org.tensorflow.op.core.ImmutableConst
asOutput() - Method in class org.tensorflow.op.core.InplaceAdd
asOutput() - Method in class org.tensorflow.op.core.InplaceSub
asOutput() - Method in class org.tensorflow.op.core.InplaceUpdate
asOutput() - Method in class org.tensorflow.op.core.IsVariableInitialized
asOutput() - Method in class org.tensorflow.op.core.KthOrderStatistic
asOutput() - Method in class org.tensorflow.op.core.LinSpace
asOutput() - Method in class org.tensorflow.op.core.LookupTableFind
asOutput() - Method in class org.tensorflow.op.core.LookupTableSize
asOutput() - Method in class org.tensorflow.op.core.LoopCond
asOutput() - Method in class org.tensorflow.op.core.LowerBound
asOutput() - Method in class org.tensorflow.op.core.MakeUnique
asOutput() - Method in class org.tensorflow.op.core.MapIncompleteSize
asOutput() - Method in class org.tensorflow.op.core.MapSize
asOutput() - Method in class org.tensorflow.op.core.Max
asOutput() - Method in class org.tensorflow.op.core.Min
asOutput() - Method in class org.tensorflow.op.core.MirrorPad
asOutput() - Method in class org.tensorflow.op.core.MirrorPadGrad
asOutput() - Method in class org.tensorflow.op.core.MutableDenseHashTable
asOutput() - Method in class org.tensorflow.op.core.MutableHashTable
asOutput() - Method in class org.tensorflow.op.core.MutableHashTableOfTensors
asOutput() - Method in class org.tensorflow.op.core.Mutex
asOutput() - Method in class org.tensorflow.op.core.MutexLock
asOutput() - Method in class org.tensorflow.op.core.NcclAllReduce: Deprecated.
asOutput() - Method in class org.tensorflow.op.core.NcclBroadcast: Deprecated.
asOutput() - Method in class org.tensorflow.op.core.NcclReduce: Deprecated.
asOutput() - Method in class org.tensorflow.op.core.NextIteration
asOutput() - Method in class org.tensorflow.op.core.OneHot
asOutput() - Method in class org.tensorflow.op.core.Ones
asOutput() - Method in class org.tensorflow.op.core.OnesLike
asOutput() - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize
asOutput() - Method in class org.tensorflow.op.core.OrderedMapSize
asOutput() - Method in class org.tensorflow.op.core.Pad
asOutput() - Method in class org.tensorflow.op.core.ParallelConcat
asOutput() - Method in class org.tensorflow.op.core.ParallelDynamicStitch
asOutput() - Method in class org.tensorflow.op.core.Placeholder
asOutput() - Method in class org.tensorflow.op.core.PlaceholderWithDefault
asOutput() - Method in class org.tensorflow.op.core.Prod
asOutput() - Method in class org.tensorflow.op.core.RandomIndexShuffle
asOutput() - Method in class org.tensorflow.op.core.Range
asOutput() - Method in class org.tensorflow.op.core.Rank
asOutput() - Method in class org.tensorflow.op.core.ReadVariableOp
asOutput() - Method in class org.tensorflow.op.core.Recv
asOutput() - Method in class org.tensorflow.op.core.ReduceAll
asOutput() - Method in class org.tensorflow.op.core.ReduceAny
asOutput() - Method in class org.tensorflow.op.core.ReduceMax
asOutput() - Method in class org.tensorflow.op.core.ReduceMin
asOutput() - Method in class org.tensorflow.op.core.ReduceProd
asOutput() - Method in class org.tensorflow.op.core.ReduceSum
asOutput() - Method in class org.tensorflow.op.core.RefEnter
asOutput() - Method in class org.tensorflow.op.core.RefExit
asOutput() - Method in class org.tensorflow.op.core.RefIdentity
asOutput() - Method in class org.tensorflow.op.core.RefNextIteration
asOutput() - Method in class org.tensorflow.op.core.RefSelect
asOutput() - Method in class org.tensorflow.op.core.Relayout
asOutput() - Method in class org.tensorflow.op.core.RelayoutLike
asOutput() - Method in class org.tensorflow.op.core.Reshape
asOutput() - Method in class org.tensorflow.op.core.ResourceCountUpTo
asOutput() - Method in class org.tensorflow.op.core.ResourceGather
asOutput() - Method in class org.tensorflow.op.core.ResourceGatherNd
asOutput() - Method in class org.tensorflow.op.core.Reverse
asOutput() - Method in class org.tensorflow.op.core.ReverseSequence
asOutput() - Method in class org.tensorflow.op.core.Roll
asOutput() - Method in class org.tensorflow.op.core.ScatterAdd
asOutput() - Method in class org.tensorflow.op.core.ScatterDiv
asOutput() - Method in class org.tensorflow.op.core.ScatterMax
asOutput() - Method in class org.tensorflow.op.core.ScatterMin
asOutput() - Method in class org.tensorflow.op.core.ScatterMul
asOutput() - Method in class org.tensorflow.op.core.ScatterNd
asOutput() - Method in class org.tensorflow.op.core.ScatterNdAdd
asOutput() - Method in class org.tensorflow.op.core.ScatterNdMax
asOutput() - Method in class org.tensorflow.op.core.ScatterNdMin
asOutput() - Method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd
asOutput() - Method in class org.tensorflow.op.core.ScatterNdSub
asOutput() - Method in class org.tensorflow.op.core.ScatterNdUpdate
asOutput() - Method in class org.tensorflow.op.core.ScatterSub
asOutput() - Method in class org.tensorflow.op.core.ScatterUpdate
asOutput() - Method in class org.tensorflow.op.core.Select
asOutput() - Method in class org.tensorflow.op.core.SetSize
asOutput() - Method in class org.tensorflow.op.core.Shape
asOutput() - Method in class org.tensorflow.op.core.Size
asOutput() - Method in class org.tensorflow.op.core.Slice
asOutput() - Method in class org.tensorflow.op.core.Snapshot
asOutput() - Method in class org.tensorflow.op.core.SpaceToBatchNd
asOutput() - Method in class org.tensorflow.op.core.Squeeze
asOutput() - Method in class org.tensorflow.op.core.Stack
asOutput() - Method in class org.tensorflow.op.core.StackCreate
asOutput() - Method in class org.tensorflow.op.core.StackPop
asOutput() - Method in class org.tensorflow.op.core.StackPush
asOutput() - Method in class org.tensorflow.op.core.StageSize
asOutput() - Method in class org.tensorflow.op.core.StochasticCastToInt
asOutput() - Method in class org.tensorflow.op.core.StopGradient
asOutput() - Method in class org.tensorflow.op.core.StridedSlice
asOutput() - Method in class org.tensorflow.op.core.StridedSliceAssign
asOutput() - Method in class org.tensorflow.op.core.StridedSliceGrad
asOutput() - Method in class org.tensorflow.op.core.Sum
asOutput() - Method in class org.tensorflow.op.core.TemporaryVariable
asOutput() - Method in class org.tensorflow.op.core.TensorArrayGather
asOutput() - Method in class org.tensorflow.op.core.TensorArrayPack
asOutput() - Method in class org.tensorflow.op.core.TensorArrayRead
asOutput() - Method in class org.tensorflow.op.core.TensorArrayScatter
asOutput() - Method in class org.tensorflow.op.core.TensorArraySize
asOutput() - Method in class org.tensorflow.op.core.TensorArraySplit
asOutput() - Method in class org.tensorflow.op.core.TensorArrayUnpack
asOutput() - Method in class org.tensorflow.op.core.TensorArrayWrite
asOutput() - Method in class org.tensorflow.op.core.TensorListConcatLists
asOutput() - Method in class org.tensorflow.op.core.TensorListElementShape
asOutput() - Method in class org.tensorflow.op.core.TensorListFromTensor
asOutput() - Method in class org.tensorflow.op.core.TensorListGather
asOutput() - Method in class org.tensorflow.op.core.TensorListGetItem
asOutput() - Method in class org.tensorflow.op.core.TensorListLength
asOutput() - Method in class org.tensorflow.op.core.TensorListPushBack
asOutput() - Method in class org.tensorflow.op.core.TensorListPushBackBatch
asOutput() - Method in class org.tensorflow.op.core.TensorListReserve
asOutput() - Method in class org.tensorflow.op.core.TensorListResize
asOutput() - Method in class org.tensorflow.op.core.TensorListScatter
asOutput() - Method in class org.tensorflow.op.core.TensorListScatterIntoExistingList
asOutput() - Method in class org.tensorflow.op.core.TensorListSetItem
asOutput() - Method in class org.tensorflow.op.core.TensorListSplit
asOutput() - Method in class org.tensorflow.op.core.TensorListStack
asOutput() - Method in class org.tensorflow.op.core.TensorMapErase
asOutput() - Method in class org.tensorflow.op.core.TensorMapHasKey
asOutput() - Method in class org.tensorflow.op.core.TensorMapInsert
asOutput() - Method in class org.tensorflow.op.core.TensorMapLookup
asOutput() - Method in class org.tensorflow.op.core.TensorMapSize
asOutput() - Method in class org.tensorflow.op.core.TensorMapStackKeys
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdAdd
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdMax
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdMin
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdSub
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdUpdate
asOutput() - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate
asOutput() - Method in class org.tensorflow.op.core.Tile
asOutput() - Method in class org.tensorflow.op.core.Timestamp
asOutput() - Method in class org.tensorflow.op.core.Unbatch
asOutput() - Method in class org.tensorflow.op.core.UnbatchGrad
asOutput() - Method in class org.tensorflow.op.core.UniformQuantizedClipByValue
asOutput() - Method in class org.tensorflow.op.core.UnravelIndex
asOutput() - Method in class org.tensorflow.op.core.UpperBound
asOutput() - Method in class org.tensorflow.op.core.VarHandleOp
asOutput() - Method in class org.tensorflow.op.core.Variable
asOutput() - Method in class org.tensorflow.op.core.VariableShape
asOutput() - Method in class org.tensorflow.op.core.VarIsInitializedOp
asOutput() - Method in class org.tensorflow.op.core.Where
asOutput() - Method in class org.tensorflow.op.core.Zeros
asOutput() - Method in class org.tensorflow.op.core.ZerosLike
asOutput() - Method in class org.tensorflow.op.data.AnonymousIterator
asOutput() - Method in class org.tensorflow.op.data.AnonymousMultiDeviceIterator
asOutput() - Method in class org.tensorflow.op.data.AssertCardinalityDataset
asOutput() - Method in class org.tensorflow.op.data.AssertNextDataset
asOutput() - Method in class org.tensorflow.op.data.AssertPrevDataset
asOutput() - Method in class org.tensorflow.op.data.AutoShardDataset
asOutput() - Method in class org.tensorflow.op.data.BatchDataset
asOutput() - Method in class org.tensorflow.op.data.BytesProducedStatsDataset
asOutput() - Method in class org.tensorflow.op.data.CacheDataset
asOutput() - Method in class org.tensorflow.op.data.ChooseFastestBranchDataset
asOutput() - Method in class org.tensorflow.op.data.ChooseFastestDataset
asOutput() - Method in class org.tensorflow.op.data.CompressElement
asOutput() - Method in class org.tensorflow.op.data.ConcatenateDataset
asOutput() - Method in class org.tensorflow.op.data.CSVDataset
asOutput() - Method in class org.tensorflow.op.data.DataServiceDataset
asOutput() - Method in class org.tensorflow.op.data.DatasetCardinality
asOutput() - Method in class org.tensorflow.op.data.DatasetFingerprint
asOutput() - Method in class org.tensorflow.op.data.DatasetFromGraph
asOutput() - Method in class org.tensorflow.op.data.DatasetToGraph
asOutput() - Method in class org.tensorflow.op.data.DenseToSparseBatchDataset
asOutput() - Method in class org.tensorflow.op.data.DirectedInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.DummyIterationCounter
asOutput() - Method in class org.tensorflow.op.data.experimental.AssertNextDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.AutoShardDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ChooseFastestDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.CSVDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.DatasetCardinality
asOutput() - Method in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.GroupByReducerDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.GroupByWindowDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.IteratorGetDevice
asOutput() - Method in class org.tensorflow.op.data.experimental.LatencyStatsDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.LmdbDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.MapAndBatchDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.MapDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.MatchingFilesDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.NonSerializableDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ParseExampleDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.RandomDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.RebatchDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ScanDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.SleepDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.SlidingWindowDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.SqlDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle
asOutput() - Method in class org.tensorflow.op.data.experimental.StatsAggregatorSummary
asOutput() - Method in class org.tensorflow.op.data.experimental.TakeWhileDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ThreadPoolDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle
asOutput() - Method in class org.tensorflow.op.data.experimental.UnbatchDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.UniqueDataset
asOutput() - Method in class org.tensorflow.op.data.FilterByLastComponentDataset
asOutput() - Method in class org.tensorflow.op.data.FilterDataset
asOutput() - Method in class org.tensorflow.op.data.FinalizeDataset
asOutput() - Method in class org.tensorflow.op.data.FixedLengthRecordDataset
asOutput() - Method in class org.tensorflow.op.data.FlatMapDataset
asOutput() - Method in class org.tensorflow.op.data.GeneratorDataset
asOutput() - Method in class org.tensorflow.op.data.GlobalShuffleDataset
asOutput() - Method in class org.tensorflow.op.data.GroupByReducerDataset
asOutput() - Method in class org.tensorflow.op.data.GroupByWindowDataset
asOutput() - Method in class org.tensorflow.op.data.IgnoreErrorsDataset
asOutput() - Method in class org.tensorflow.op.data.IndexFlatMapDataset
asOutput() - Method in class org.tensorflow.op.data.InterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.Iterator
asOutput() - Method in class org.tensorflow.op.data.IteratorFromStringHandle
asOutput() - Method in class org.tensorflow.op.data.IteratorGetDevice
asOutput() - Method in class org.tensorflow.op.data.IteratorGetModelProto
asOutput() - Method in class org.tensorflow.op.data.IteratorGetNextAsOptional
asOutput() - Method in class org.tensorflow.op.data.IteratorToStringHandle
asOutput() - Method in class org.tensorflow.op.data.LatencyStatsDataset
asOutput() - Method in class org.tensorflow.op.data.LeakyReluGrad
asOutput() - Method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.ListDataset
asOutput() - Method in class org.tensorflow.op.data.ListSnapshotChunksDataset
asOutput() - Method in class org.tensorflow.op.data.LMDBDataset
asOutput() - Method in class org.tensorflow.op.data.LoadDataset
asOutput() - Method in class org.tensorflow.op.data.MapAndBatchDataset
asOutput() - Method in class org.tensorflow.op.data.MapDataset
asOutput() - Method in class org.tensorflow.op.data.MatchingFilesDataset
asOutput() - Method in class org.tensorflow.op.data.MaxIntraOpParallelismDataset
asOutput() - Method in class org.tensorflow.op.data.ModelDataset
asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIterator
asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle
asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIteratorInit
asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle
asOutput() - Method in class org.tensorflow.op.data.NonSerializableDataset
asOutput() - Method in class org.tensorflow.op.data.OneShotIterator
asOutput() - Method in class org.tensorflow.op.data.OptimizeDataset
asOutput() - Method in class org.tensorflow.op.data.OptionalFromValue
asOutput() - Method in class org.tensorflow.op.data.OptionalHasValue
asOutput() - Method in class org.tensorflow.op.data.OptionalNone
asOutput() - Method in class org.tensorflow.op.data.OptionsDataset
asOutput() - Method in class org.tensorflow.op.data.PaddedBatchDataset
asOutput() - Method in class org.tensorflow.op.data.ParallelBatchDataset
asOutput() - Method in class org.tensorflow.op.data.ParallelFilterDataset
asOutput() - Method in class org.tensorflow.op.data.ParallelInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.ParallelMapDataset
asOutput() - Method in class org.tensorflow.op.data.ParseExampleDataset
asOutput() - Method in class org.tensorflow.op.data.PrefetchDataset
asOutput() - Method in class org.tensorflow.op.data.PrivateThreadPoolDataset
asOutput() - Method in class org.tensorflow.op.data.RandomDataset
asOutput() - Method in class org.tensorflow.op.data.RangeDataset
asOutput() - Method in class org.tensorflow.op.data.RebatchDatasetV2
asOutput() - Method in class org.tensorflow.op.data.RegisterDataset
asOutput() - Method in class org.tensorflow.op.data.RepeatDataset
asOutput() - Method in class org.tensorflow.op.data.RewriteDataset
asOutput() - Method in class org.tensorflow.op.data.SamplingDataset
asOutput() - Method in class org.tensorflow.op.data.SaveDataset
asOutput() - Method in class org.tensorflow.op.data.ScanDataset
asOutput() - Method in class org.tensorflow.op.data.SerializeIterator
asOutput() - Method in class org.tensorflow.op.data.SetStatsAggregatorDataset
asOutput() - Method in class org.tensorflow.op.data.ShardDataset
asOutput() - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset
asOutput() - Method in class org.tensorflow.op.data.ShuffleDataset
asOutput() - Method in class org.tensorflow.op.data.SkipDataset
asOutput() - Method in class org.tensorflow.op.data.SleepDataset
asOutput() - Method in class org.tensorflow.op.data.SlidingWindowDataset
asOutput() - Method in class org.tensorflow.op.data.SnapshotChunkDataset
asOutput() - Method in class org.tensorflow.op.data.SnapshotDataset
asOutput() - Method in class org.tensorflow.op.data.SnapshotDatasetReader
asOutput() - Method in class org.tensorflow.op.data.SnapshotNestedDatasetReader
asOutput() - Method in class org.tensorflow.op.data.SparseTensorSliceDataset
asOutput() - Method in class org.tensorflow.op.data.SqlDataset
asOutput() - Method in class org.tensorflow.op.data.StatsAggregatorHandle
asOutput() - Method in class org.tensorflow.op.data.TakeDataset
asOutput() - Method in class org.tensorflow.op.data.TakeWhileDataset
asOutput() - Method in class org.tensorflow.op.data.TensorDataset
asOutput() - Method in class org.tensorflow.op.data.TensorSliceDataset
asOutput() - Method in class org.tensorflow.op.data.TextLineDataset
asOutput() - Method in class org.tensorflow.op.data.TfRecordDataset
asOutput() - Method in class org.tensorflow.op.data.ThreadPoolDataset
asOutput() - Method in class org.tensorflow.op.data.ThreadPoolHandle
asOutput() - Method in class org.tensorflow.op.data.UnbatchDataset
asOutput() - Method in class org.tensorflow.op.data.UniqueDataset
asOutput() - Method in class org.tensorflow.op.data.UnwrapDatasetVariant
asOutput() - Method in class org.tensorflow.op.data.WeightedFlatMapDataset
asOutput() - Method in class org.tensorflow.op.data.WindowDataset
asOutput() - Method in class org.tensorflow.op.data.WindowOp
asOutput() - Method in class org.tensorflow.op.data.WrapDatasetVariant
asOutput() - Method in class org.tensorflow.op.data.ZipDataset
asOutput() - Method in class org.tensorflow.op.debugging.CheckNumerics
asOutput() - Method in class org.tensorflow.op.debugging.DebugGradientIdentity
asOutput() - Method in class org.tensorflow.op.debugging.DebugGradientRefIdentity
asOutput() - Method in class org.tensorflow.op.debugging.DebugIdentity
asOutput() - Method in class org.tensorflow.op.debugging.DebugNanCount
asOutput() - Method in class org.tensorflow.op.debugging.DebugNumericsSummary
asOutput() - Method in class org.tensorflow.op.distribute.NcclAllReduce
asOutput() - Method in class org.tensorflow.op.distribute.NcclBroadcast
asOutput() - Method in class org.tensorflow.op.distribute.NcclReduce
asOutput() - Method in class org.tensorflow.op.dtypes.AsString
asOutput() - Method in class org.tensorflow.op.dtypes.Cast
asOutput() - Method in class org.tensorflow.op.dtypes.Complex
asOutput() - Method in class org.tensorflow.op.dtypes.ToBool
asOutput() - Method in class org.tensorflow.op.image.AdjustContrast
asOutput() - Method in class org.tensorflow.op.image.AdjustHue
asOutput() - Method in class org.tensorflow.op.image.AdjustSaturation
asOutput() - Method in class org.tensorflow.op.image.CropAndResize
asOutput() - Method in class org.tensorflow.op.image.CropAndResizeGradBoxes
asOutput() - Method in class org.tensorflow.op.image.CropAndResizeGradImage
asOutput() - Method in class org.tensorflow.op.image.DecodeAndCropJpeg
asOutput() - Method in class org.tensorflow.op.image.DecodeBmp
asOutput() - Method in class org.tensorflow.op.image.DecodeGif
asOutput() - Method in class org.tensorflow.op.image.DecodeImage
asOutput() - Method in class org.tensorflow.op.image.DecodeJpeg
asOutput() - Method in class org.tensorflow.op.image.DecodePng
asOutput() - Method in class org.tensorflow.op.image.DrawBoundingBoxes
asOutput() - Method in class org.tensorflow.op.image.EncodeJpeg
asOutput() - Method in class org.tensorflow.op.image.EncodeJpegVariableQuality
asOutput() - Method in class org.tensorflow.op.image.EncodePng
asOutput() - Method in class org.tensorflow.op.image.ExtractGlimpse
asOutput() - Method in class org.tensorflow.op.image.ExtractImagePatches
asOutput() - Method in class org.tensorflow.op.image.ExtractJpegShape
asOutput() - Method in class org.tensorflow.op.image.HsvToRgb
asOutput() - Method in class org.tensorflow.op.image.ImageProjectiveTransformV2
asOutput() - Method in class org.tensorflow.op.image.ImageProjectiveTransformV3
asOutput() - Method in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps
asOutput() - Method in class org.tensorflow.op.image.RandomCrop
asOutput() - Method in class org.tensorflow.op.image.ResizeArea
asOutput() - Method in class org.tensorflow.op.image.ResizeBicubic
asOutput() - Method in class org.tensorflow.op.image.ResizeBicubicGrad
asOutput() - Method in class org.tensorflow.op.image.ResizeBilinear
asOutput() - Method in class org.tensorflow.op.image.ResizeBilinearGrad
asOutput() - Method in class org.tensorflow.op.image.ResizeNearestNeighbor
asOutput() - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad
asOutput() - Method in class org.tensorflow.op.image.RgbToHsv
asOutput() - Method in class org.tensorflow.op.image.ScaleAndTranslate
asOutput() - Method in class org.tensorflow.op.image.ScaleAndTranslateGrad
asOutput() - Method in class org.tensorflow.op.io.DecodeBase64
asOutput() - Method in class org.tensorflow.op.io.DecodeCompressed
asOutput() - Method in class org.tensorflow.op.io.DecodeJsonExample
asOutput() - Method in class org.tensorflow.op.io.DecodePaddedRaw
asOutput() - Method in class org.tensorflow.op.io.DecodeRaw
asOutput() - Method in class org.tensorflow.op.io.EncodeBase64
asOutput() - Method in class org.tensorflow.op.io.FakeQueue
asOutput() - Method in class org.tensorflow.op.io.FifoQueue
asOutput() - Method in class org.tensorflow.op.io.FixedLengthRecordReader
asOutput() - Method in class org.tensorflow.op.io.IdentityReader
asOutput() - Method in class org.tensorflow.op.io.LmdbReader
asOutput() - Method in class org.tensorflow.op.io.MatchingFiles
asOutput() - Method in class org.tensorflow.op.io.PaddingFifoQueue
asOutput() - Method in class org.tensorflow.op.io.ParseTensor
asOutput() - Method in class org.tensorflow.op.io.PriorityQueue
asOutput() - Method in class org.tensorflow.op.io.QueueIsClosed
asOutput() - Method in class org.tensorflow.op.io.QueueSize
asOutput() - Method in class org.tensorflow.op.io.RandomShuffleQueue
asOutput() - Method in class org.tensorflow.op.io.ReaderNumRecordsProduced
asOutput() - Method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted
asOutput() - Method in class org.tensorflow.op.io.ReaderSerializeState
asOutput() - Method in class org.tensorflow.op.io.ReadFile
asOutput() - Method in class org.tensorflow.op.io.SerializeManySparse
asOutput() - Method in class org.tensorflow.op.io.SerializeSparse
asOutput() - Method in class org.tensorflow.op.io.SerializeTensor
asOutput() - Method in class org.tensorflow.op.io.ShardedFilename
asOutput() - Method in class org.tensorflow.op.io.ShardedFilespec
asOutput() - Method in class org.tensorflow.op.io.TextLineReader
asOutput() - Method in class org.tensorflow.op.io.TfRecordReader
asOutput() - Method in class org.tensorflow.op.io.WholeFileReader
asOutput() - Method in class org.tensorflow.op.linalg.BandedTriangularSolve
asOutput() - Method in class org.tensorflow.op.linalg.BandPart
asOutput() - Method in class org.tensorflow.op.linalg.BatchCholesky
asOutput() - Method in class org.tensorflow.op.linalg.BatchCholeskyGrad
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixBandPart
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixDeterminant
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixDiag
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixDiagPart
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixInverse
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixSetDiag
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixSolve
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixSolveLs
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve
asOutput() - Method in class org.tensorflow.op.linalg.Cholesky
asOutput() - Method in class org.tensorflow.op.linalg.CholeskyGrad
asOutput() - Method in class org.tensorflow.op.linalg.ConjugateTranspose
asOutput() - Method in class org.tensorflow.op.linalg.Cross
asOutput() - Method in class org.tensorflow.op.linalg.Det
asOutput() - Method in class org.tensorflow.op.linalg.Einsum
asOutput() - Method in class org.tensorflow.op.linalg.EuclideanNorm
asOutput() - Method in class org.tensorflow.op.linalg.Inv
asOutput() - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix
asOutput() - Method in class org.tensorflow.op.linalg.MatMul
asOutput() - Method in class org.tensorflow.op.linalg.MatrixDiag
asOutput() - Method in class org.tensorflow.op.linalg.MatrixDiagPart
asOutput() - Method in class org.tensorflow.op.linalg.MatrixDiagPartV3
asOutput() - Method in class org.tensorflow.op.linalg.MatrixDiagV3
asOutput() - Method in class org.tensorflow.op.linalg.MatrixExponential
asOutput() - Method in class org.tensorflow.op.linalg.MatrixLogarithm
asOutput() - Method in class org.tensorflow.op.linalg.MatrixSetDiag
asOutput() - Method in class org.tensorflow.op.linalg.MatrixSolveLs
asOutput() - Method in class org.tensorflow.op.linalg.Solve
asOutput() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense
asOutput() - Method in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMul
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix
asOutput() - Method in class org.tensorflow.op.linalg.Sqrtm
asOutput() - Method in class org.tensorflow.op.linalg.TensorDiag
asOutput() - Method in class org.tensorflow.op.linalg.TensorDiagPart
asOutput() - Method in class org.tensorflow.op.linalg.Transpose
asOutput() - Method in class org.tensorflow.op.linalg.TriangularSolve
asOutput() - Method in class org.tensorflow.op.linalg.TridiagonalMatMul
asOutput() - Method in class org.tensorflow.op.linalg.TridiagonalSolve
asOutput() - Method in class org.tensorflow.op.math.Abs
asOutput() - Method in class org.tensorflow.op.math.AccumulateN
asOutput() - Method in class org.tensorflow.op.math.Acos
asOutput() - Method in class org.tensorflow.op.math.Acosh
asOutput() - Method in class org.tensorflow.op.math.Add
asOutput() - Method in class org.tensorflow.op.math.AddN
asOutput() - Method in class org.tensorflow.op.math.Angle
asOutput() - Method in class org.tensorflow.op.math.ApproximateEqual
asOutput() - Method in class org.tensorflow.op.math.ArgMax
asOutput() - Method in class org.tensorflow.op.math.ArgMin
asOutput() - Method in class org.tensorflow.op.math.Asin
asOutput() - Method in class org.tensorflow.op.math.Asinh
asOutput() - Method in class org.tensorflow.op.math.Atan
asOutput() - Method in class org.tensorflow.op.math.Atan2
asOutput() - Method in class org.tensorflow.op.math.Atanh
asOutput() - Method in class org.tensorflow.op.math.BesselI0
asOutput() - Method in class org.tensorflow.op.math.BesselI0e
asOutput() - Method in class org.tensorflow.op.math.BesselI1
asOutput() - Method in class org.tensorflow.op.math.BesselI1e
asOutput() - Method in class org.tensorflow.op.math.Betainc
asOutput() - Method in class org.tensorflow.op.math.Bincount
asOutput() - Method in class org.tensorflow.op.math.Ceil
asOutput() - Method in class org.tensorflow.op.math.ComplexAbs
asOutput() - Method in class org.tensorflow.op.math.Conj
asOutput() - Method in class org.tensorflow.op.math.Cos
asOutput() - Method in class org.tensorflow.op.math.Cosh
asOutput() - Method in class org.tensorflow.op.math.Cumprod
asOutput() - Method in class org.tensorflow.op.math.Cumsum
asOutput() - Method in class org.tensorflow.op.math.CumulativeLogsumexp
asOutput() - Method in class org.tensorflow.op.math.DenseBincount
asOutput() - Method in class org.tensorflow.op.math.Digamma
asOutput() - Method in class org.tensorflow.op.math.Div
asOutput() - Method in class org.tensorflow.op.math.DivNoNan
asOutput() - Method in class org.tensorflow.op.math.Equal
asOutput() - Method in class org.tensorflow.op.math.Erf
asOutput() - Method in class org.tensorflow.op.math.Erfc
asOutput() - Method in class org.tensorflow.op.math.erfinv
asOutput() - Method in class org.tensorflow.op.math.Exp
asOutput() - Method in class org.tensorflow.op.math.Expm1
asOutput() - Method in class org.tensorflow.op.math.Fact
asOutput() - Method in class org.tensorflow.op.math.Floor
asOutput() - Method in class org.tensorflow.op.math.FloorDiv
asOutput() - Method in class org.tensorflow.op.math.FloorMod
asOutput() - Method in class org.tensorflow.op.math.Greater
asOutput() - Method in class org.tensorflow.op.math.GreaterEqual
asOutput() - Method in class org.tensorflow.op.math.Igamma
asOutput() - Method in class org.tensorflow.op.math.Igammac
asOutput() - Method in class org.tensorflow.op.math.IgammaGradA
asOutput() - Method in class org.tensorflow.op.math.Imag
asOutput() - Method in class org.tensorflow.op.math.InvertPermutation
asOutput() - Method in class org.tensorflow.op.math.IsFinite
asOutput() - Method in class org.tensorflow.op.math.IsInf
asOutput() - Method in class org.tensorflow.op.math.IsNan
asOutput() - Method in class org.tensorflow.op.math.Less
asOutput() - Method in class org.tensorflow.op.math.LessEqual
asOutput() - Method in class org.tensorflow.op.math.Lgamma
asOutput() - Method in class org.tensorflow.op.math.Log
asOutput() - Method in class org.tensorflow.op.math.Log1p
asOutput() - Method in class org.tensorflow.op.math.LogicalAnd
asOutput() - Method in class org.tensorflow.op.math.LogicalNot
asOutput() - Method in class org.tensorflow.op.math.LogicalOr
asOutput() - Method in class org.tensorflow.op.math.Maximum
asOutput() - Method in class org.tensorflow.op.math.Mean
asOutput() - Method in class org.tensorflow.op.math.Minimum
asOutput() - Method in class org.tensorflow.op.math.Mod
asOutput() - Method in class org.tensorflow.op.math.Mul
asOutput() - Method in class org.tensorflow.op.math.MulNoNan
asOutput() - Method in class org.tensorflow.op.math.Ndtri
asOutput() - Method in class org.tensorflow.op.math.Neg
asOutput() - Method in class org.tensorflow.op.math.NextAfter
asOutput() - Method in class org.tensorflow.op.math.NotEqual
asOutput() - Method in class org.tensorflow.op.math.Polygamma
asOutput() - Method in class org.tensorflow.op.math.PopulationCount
asOutput() - Method in class org.tensorflow.op.math.Pow
asOutput() - Method in class org.tensorflow.op.math.Real
asOutput() - Method in class org.tensorflow.op.math.RealDiv
asOutput() - Method in class org.tensorflow.op.math.Reciprocal
asOutput() - Method in class org.tensorflow.op.math.ReciprocalGrad
asOutput() - Method in class org.tensorflow.op.math.Rint
asOutput() - Method in class org.tensorflow.op.math.Round
asOutput() - Method in class org.tensorflow.op.math.Rsqrt
asOutput() - Method in class org.tensorflow.op.math.RsqrtGrad
asOutput() - Method in class org.tensorflow.op.math.SegmentMax
asOutput() - Method in class org.tensorflow.op.math.SegmentMean
asOutput() - Method in class org.tensorflow.op.math.SegmentMin
asOutput() - Method in class org.tensorflow.op.math.SegmentProd
asOutput() - Method in class org.tensorflow.op.math.SegmentSum
asOutput() - Method in class org.tensorflow.op.math.Sigmoid
asOutput() - Method in class org.tensorflow.op.math.SigmoidGrad
asOutput() - Method in class org.tensorflow.op.math.Sign
asOutput() - Method in class org.tensorflow.op.math.Sin
asOutput() - Method in class org.tensorflow.op.math.Sinh
asOutput() - Method in class org.tensorflow.op.math.SobolSample
asOutput() - Method in class org.tensorflow.op.math.Softplus
asOutput() - Method in class org.tensorflow.op.math.SoftplusGrad
asOutput() - Method in class org.tensorflow.op.math.special.BesselJ0
asOutput() - Method in class org.tensorflow.op.math.special.BesselJ1
asOutput() - Method in class org.tensorflow.op.math.special.BesselK0
asOutput() - Method in class org.tensorflow.op.math.special.BesselK0e
asOutput() - Method in class org.tensorflow.op.math.special.BesselK1
asOutput() - Method in class org.tensorflow.op.math.special.BesselK1e
asOutput() - Method in class org.tensorflow.op.math.special.BesselY0
asOutput() - Method in class org.tensorflow.op.math.special.BesselY1
asOutput() - Method in class org.tensorflow.op.math.special.Dawsn
asOutput() - Method in class org.tensorflow.op.math.special.Expint
asOutput() - Method in class org.tensorflow.op.math.special.FresnelCos
asOutput() - Method in class org.tensorflow.op.math.special.FresnelSin
asOutput() - Method in class org.tensorflow.op.math.special.Spence
asOutput() - Method in class org.tensorflow.op.math.Sqrt
asOutput() - Method in class org.tensorflow.op.math.SqrtGrad
asOutput() - Method in class org.tensorflow.op.math.Square
asOutput() - Method in class org.tensorflow.op.math.SquaredDifference
asOutput() - Method in class org.tensorflow.op.math.Sub
asOutput() - Method in class org.tensorflow.op.math.Tan
asOutput() - Method in class org.tensorflow.op.math.Tanh
asOutput() - Method in class org.tensorflow.op.math.TanhGrad
asOutput() - Method in class org.tensorflow.op.math.TruncateDiv
asOutput() - Method in class org.tensorflow.op.math.TruncateMod
asOutput() - Method in class org.tensorflow.op.math.UniformQuantizedAdd
asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentMax
asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentMin
asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentProd
asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentSum
asOutput() - Method in class org.tensorflow.op.math.Xdivy
asOutput() - Method in class org.tensorflow.op.math.Xlog1py
asOutput() - Method in class org.tensorflow.op.math.Xlogy
asOutput() - Method in class org.tensorflow.op.math.Zeta
asOutput() - Method in class org.tensorflow.op.nn.AvgPool
asOutput() - Method in class org.tensorflow.op.nn.AvgPool3d
asOutput() - Method in class org.tensorflow.op.nn.AvgPool3dGrad
asOutput() - Method in class org.tensorflow.op.nn.AvgPoolGrad
asOutput() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization
asOutput() - Method in class org.tensorflow.op.nn.BiasAdd
asOutput() - Method in class org.tensorflow.op.nn.BiasAddGrad
asOutput() - Method in class org.tensorflow.op.nn.Conv
asOutput() - Method in class org.tensorflow.op.nn.Conv2d
asOutput() - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter
asOutput() - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2
asOutput() - Method in class org.tensorflow.op.nn.Conv2dBackpropInput
asOutput() - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2
asOutput() - Method in class org.tensorflow.op.nn.Conv3d
asOutput() - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter
asOutput() - Method in class org.tensorflow.op.nn.Conv3dBackpropInput
asOutput() - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams
asOutput() - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize
asOutput() - Method in class org.tensorflow.op.nn.DataFormatDimMap
asOutput() - Method in class org.tensorflow.op.nn.DataFormatVecPermute
asOutput() - Method in class org.tensorflow.op.nn.DepthToSpace
asOutput() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative
asOutput() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter
asOutput() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput
asOutput() - Method in class org.tensorflow.op.nn.Dilation2d
asOutput() - Method in class org.tensorflow.op.nn.Dilation2dBackpropFilter
asOutput() - Method in class org.tensorflow.op.nn.Dilation2dBackpropInput
asOutput() - Method in class org.tensorflow.op.nn.Elu
asOutput() - Method in class org.tensorflow.op.nn.EluGrad
asOutput() - Method in class org.tensorflow.op.nn.FractionalAvgPoolGrad
asOutput() - Method in class org.tensorflow.op.nn.FractionalMaxPoolGrad
asOutput() - Method in class org.tensorflow.op.nn.FusedPadConv2d
asOutput() - Method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d
asOutput() - Method in class org.tensorflow.op.nn.InTopK
asOutput() - Method in class org.tensorflow.op.nn.InvGrad
asOutput() - Method in class org.tensorflow.op.nn.L2Loss
asOutput() - Method in class org.tensorflow.op.nn.LeakyRelu
asOutput() - Method in class org.tensorflow.op.nn.LocalResponseNormalization
asOutput() - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad
asOutput() - Method in class org.tensorflow.op.nn.LogSoftmax
asOutput() - Method in class org.tensorflow.op.nn.MaxPool
asOutput() - Method in class org.tensorflow.op.nn.MaxPool3d
asOutput() - Method in class org.tensorflow.op.nn.MaxPool3dGrad
asOutput() - Method in class org.tensorflow.op.nn.MaxPool3dGradGrad
asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGrad
asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGradGrad
asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax
asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax
asOutput() - Method in class org.tensorflow.op.nn.NthElement
asOutput() - Method in class org.tensorflow.op.nn.Relu
asOutput() - Method in class org.tensorflow.op.nn.Relu6
asOutput() - Method in class org.tensorflow.op.nn.Relu6Grad
asOutput() - Method in class org.tensorflow.op.nn.ReluGrad
asOutput() - Method in class org.tensorflow.op.nn.Selu
asOutput() - Method in class org.tensorflow.op.nn.SeluGrad
asOutput() - Method in class org.tensorflow.op.nn.Softmax
asOutput() - Method in class org.tensorflow.op.nn.Softsign
asOutput() - Method in class org.tensorflow.op.nn.SoftsignGrad
asOutput() - Method in class org.tensorflow.op.nn.SpaceToBatch
asOutput() - Method in class org.tensorflow.op.nn.SpaceToDepth
asOutput() - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution
asOutput() - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid
asOutput() - Method in class org.tensorflow.op.quantization.Dequantize
asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs
asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient
asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars
asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel
asOutput() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize
asOutput() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3
asOutput() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4
asOutput() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize
asOutput() - Method in class org.tensorflow.op.quantization.UniformDequantize
asOutput() - Method in class org.tensorflow.op.quantization.UniformQuantize
asOutput() - Method in class org.tensorflow.op.quantization.UniformQuantizedDot
asOutput() - Method in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid
asOutput() - Method in class org.tensorflow.op.quantization.UniformRequantize
asOutput() - Method in class org.tensorflow.op.ragged.RaggedBincount
asOutput() - Method in class org.tensorflow.op.ragged.RaggedTensorToTensor
asOutput() - Method in class org.tensorflow.op.ragged.RaggedTensorToVariant
asOutput() - Method in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient
asOutput() - Method in class org.tensorflow.op.random.DummySeedGenerator
asOutput() - Method in class org.tensorflow.op.random.experimental.StatelessShuffle
asOutput() - Method in class org.tensorflow.op.random.Multinomial
asOutput() - Method in class org.tensorflow.op.random.NonDeterministicInts
asOutput() - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal
asOutput() - Method in class org.tensorflow.op.random.RandomGamma
asOutput() - Method in class org.tensorflow.op.random.RandomGammaGrad
asOutput() - Method in class org.tensorflow.op.random.RandomPoisson
asOutput() - Method in class org.tensorflow.op.random.RandomShuffle
asOutput() - Method in class org.tensorflow.op.random.RandomStandardNormal
asOutput() - Method in class org.tensorflow.op.random.RandomUniform
asOutput() - Method in class org.tensorflow.op.random.RandomUniformInt
asOutput() - Method in class org.tensorflow.op.random.RecordInput
asOutput() - Method in class org.tensorflow.op.random.RngReadAndSkip
asOutput() - Method in class org.tensorflow.op.random.StatefulRandomBinomial
asOutput() - Method in class org.tensorflow.op.random.StatefulStandardNormal
asOutput() - Method in class org.tensorflow.op.random.StatefulTruncatedNormal
asOutput() - Method in class org.tensorflow.op.random.StatefulUniform
asOutput() - Method in class org.tensorflow.op.random.StatefulUniformFullInt
asOutput() - Method in class org.tensorflow.op.random.StatefulUniformInt
asOutput() - Method in class org.tensorflow.op.random.StatelessMultinomial
asOutput() - Method in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomBinomial
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomGamma
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomGetAlg
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomNormal
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomNormalV2
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomPoisson
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniform
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformFullInt
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformInt
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformIntV2
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformV2
asOutput() - Method in class org.tensorflow.op.random.StatelessTruncatedNormal
asOutput() - Method in class org.tensorflow.op.random.StatelessTruncatedNormalV2
asOutput() - Method in class org.tensorflow.op.random.TruncatedNormal
asOutput() - Method in class org.tensorflow.op.signal.BatchFft
asOutput() - Method in class org.tensorflow.op.signal.BatchFft2d
asOutput() - Method in class org.tensorflow.op.signal.BatchFft3d
asOutput() - Method in class org.tensorflow.op.signal.BatchIfft
asOutput() - Method in class org.tensorflow.op.signal.BatchIfft2d
asOutput() - Method in class org.tensorflow.op.signal.BatchIfft3d
asOutput() - Method in class org.tensorflow.op.signal.Fft
asOutput() - Method in class org.tensorflow.op.signal.Fft2d
asOutput() - Method in class org.tensorflow.op.signal.Fft3d
asOutput() - Method in class org.tensorflow.op.signal.FftNd
asOutput() - Method in class org.tensorflow.op.signal.Ifft
asOutput() - Method in class org.tensorflow.op.signal.Ifft2d
asOutput() - Method in class org.tensorflow.op.signal.Ifft3d
asOutput() - Method in class org.tensorflow.op.signal.IfftNd
asOutput() - Method in class org.tensorflow.op.signal.Irfft
asOutput() - Method in class org.tensorflow.op.signal.Irfft2d
asOutput() - Method in class org.tensorflow.op.signal.Irfft3d
asOutput() - Method in class org.tensorflow.op.signal.IrfftNd
asOutput() - Method in class org.tensorflow.op.signal.Rfft
asOutput() - Method in class org.tensorflow.op.signal.Rfft2d
asOutput() - Method in class org.tensorflow.op.signal.Rfft3d
asOutput() - Method in class org.tensorflow.op.signal.RfftNd
asOutput() - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap
asOutput() - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap
asOutput() - Method in class org.tensorflow.op.sparse.SparseBincount
asOutput() - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator
asOutput() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseAdd
asOutput() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseDiv
asOutput() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseMul
asOutput() - Method in class org.tensorflow.op.sparse.SparseMatMul
asOutput() - Method in class org.tensorflow.op.sparse.SparseReduceMax
asOutput() - Method in class org.tensorflow.op.sparse.SparseReduceSum
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentMean
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtN
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSum
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments
asOutput() - Method in class org.tensorflow.op.sparse.SparseSliceGrad
asOutput() - Method in class org.tensorflow.op.sparse.SparseSoftmax
asOutput() - Method in class org.tensorflow.op.sparse.SparseTensorDenseAdd
asOutput() - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul
asOutput() - Method in class org.tensorflow.op.sparse.SparseToDense
asOutput() - Method in class org.tensorflow.op.strings.Join
asOutput() - Method in class org.tensorflow.op.strings.Lower
asOutput() - Method in class org.tensorflow.op.strings.ReduceJoin
asOutput() - Method in class org.tensorflow.op.strings.RegexFullMatch
asOutput() - Method in class org.tensorflow.op.strings.RegexReplace
asOutput() - Method in class org.tensorflow.op.strings.StaticRegexFullMatch
asOutput() - Method in class org.tensorflow.op.strings.StaticRegexReplace
asOutput() - Method in class org.tensorflow.op.strings.StringFormat
asOutput() - Method in class org.tensorflow.op.strings.StringLength
asOutput() - Method in class org.tensorflow.op.strings.Strip
asOutput() - Method in class org.tensorflow.op.strings.Substr
asOutput() - Method in class org.tensorflow.op.strings.ToHashBucket
asOutput() - Method in class org.tensorflow.op.strings.ToHashBucketFast
asOutput() - Method in class org.tensorflow.op.strings.ToHashBucketStrong
asOutput() - Method in class org.tensorflow.op.strings.ToNumber
asOutput() - Method in class org.tensorflow.op.strings.UnicodeEncode
asOutput() - Method in class org.tensorflow.op.strings.UnicodeScript
asOutput() - Method in class org.tensorflow.op.strings.UnicodeTranscode
asOutput() - Method in class org.tensorflow.op.strings.UnsortedSegmentJoin
asOutput() - Method in class org.tensorflow.op.strings.Upper
asOutput() - Method in class org.tensorflow.op.summary.AudioSummary
asOutput() - Method in class org.tensorflow.op.summary.HistogramSummary
asOutput() - Method in class org.tensorflow.op.summary.ImageSummary
asOutput() - Method in class org.tensorflow.op.summary.MergeSummary
asOutput() - Method in class org.tensorflow.op.summary.ScalarSummary
asOutput() - Method in class org.tensorflow.op.summary.StatsAggregatorSummary
asOutput() - Method in class org.tensorflow.op.summary.SummaryWriter
asOutput() - Method in class org.tensorflow.op.summary.TensorSummary
asOutput() - Method in class org.tensorflow.op.tpu.AllToAll
asOutput() - Method in class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory
asOutput() - Method in class org.tensorflow.op.tpu.CompilationResult
asOutput() - Method in class org.tensorflow.op.tpu.ComputeDedupDataSize
asOutput() - Method in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask
asOutput() - Method in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU
asOutput() - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU
asOutput() - Method in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost
asOutput() - Method in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory
asOutput() - Method in class org.tensorflow.op.tpu.CrossReplicaSum
asOutput() - Method in class org.tensorflow.op.tpu.EmbeddingActivations
asOutput() - Method in class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner
asOutput() - Method in class org.tensorflow.op.tpu.GetTpuTaskId
asOutput() - Method in class org.tensorflow.op.tpu.GlobalIterId
asOutput() - Method in class org.tensorflow.op.tpu.InfeedDequeue
asOutput() - Method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized
asOutput() - Method in class org.tensorflow.op.tpu.MergeDedupData
asOutput() - Method in class org.tensorflow.op.tpu.OrdinalSelector
asOutput() - Method in class org.tensorflow.op.tpu.OutfeedDequeue
asOutput() - Method in class org.tensorflow.op.tpu.OutfeedDequeueV2
asOutput() - Method in class org.tensorflow.op.tpu.PartitionedInput
asOutput() - Method in class org.tensorflow.op.tpu.Prelinearize
asOutput() - Method in class org.tensorflow.op.tpu.PrelinearizeTuple
asOutput() - Method in class org.tensorflow.op.tpu.ReplicatedInput
asOutput() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters
asOutput() - Method in class org.tensorflow.op.tpu.ShutdownTPUSystem
asOutput() - Method in class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.
asOutput() - Method in class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.
asOutput() - Method in class org.tensorflow.op.tpu.TpuHandleToProtoKey
asOutput() - Method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.
asOutput() - Method in class org.tensorflow.op.tpu.TPURoundRobin
asOutput() - Method in class org.tensorflow.op.tpu.WorkerHeartbeat
asOutput() - Method in class org.tensorflow.op.train.AccumulatorNumAccumulated
asOutput() - Method in class org.tensorflow.op.train.AccumulatorTakeGradient
asOutput() - Method in class org.tensorflow.op.train.ApplyAdadelta
asOutput() - Method in class org.tensorflow.op.train.ApplyAdagrad
asOutput() - Method in class org.tensorflow.op.train.ApplyAdagradDa
asOutput() - Method in class org.tensorflow.op.train.ApplyAdagradV2
asOutput() - Method in class org.tensorflow.op.train.ApplyAdam
asOutput() - Method in class org.tensorflow.op.train.ApplyAdaMax
asOutput() - Method in class org.tensorflow.op.train.ApplyAddSign
asOutput() - Method in class org.tensorflow.op.train.ApplyCenteredRmsProp
asOutput() - Method in class org.tensorflow.op.train.ApplyFtrl
asOutput() - Method in class org.tensorflow.op.train.ApplyGradientDescent
asOutput() - Method in class org.tensorflow.op.train.ApplyMomentum
asOutput() - Method in class org.tensorflow.op.train.ApplyPowerSign
asOutput() - Method in class org.tensorflow.op.train.ApplyProximalAdagrad
asOutput() - Method in class org.tensorflow.op.train.ApplyProximalGradientDescent
asOutput() - Method in class org.tensorflow.op.train.ApplyRmsProp
asOutput() - Method in class org.tensorflow.op.train.BatchMatMul
asOutput() - Method in class org.tensorflow.op.train.ComputeBatchSize
asOutput() - Method in class org.tensorflow.op.train.ConditionalAccumulator
asOutput() - Method in class org.tensorflow.op.train.PreventGradient
asOutput() - Method in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated
asOutput() - Method in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient
asOutput() - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator
asOutput() - Method in class org.tensorflow.op.train.RestoreSlice
asOutput() - Method in class org.tensorflow.op.train.SdcaFprint
asOutput() - Method in class org.tensorflow.op.train.SparseApplyAdadelta
asOutput() - Method in class org.tensorflow.op.train.SparseApplyAdagrad
asOutput() - Method in class org.tensorflow.op.train.SparseApplyAdagradDa
asOutput() - Method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp
asOutput() - Method in class org.tensorflow.op.train.SparseApplyFtrl
asOutput() - Method in class org.tensorflow.op.train.SparseApplyMomentum
asOutput() - Method in class org.tensorflow.op.train.SparseApplyProximalAdagrad
asOutput() - Method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent
asOutput() - Method in class org.tensorflow.op.train.SparseApplyRmsProp
asOutput() - Method in class org.tensorflow.op.train.TileGrad
asOutput() - Method in class org.tensorflow.op.xla.ConcatND
asOutput() - Method in class org.tensorflow.op.xla.XlaRecvFromHost
asOutput() - Method in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData
asOutput() - Method in class org.tensorflow.op.xla.XlaSparseCoreSgd
asOutput() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput
asOutput() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize
asOutput() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput
asOutput() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize
asOutput() - Method in interface org.tensorflow.Operand: Returns the symbolic handle of the tensor.
asOutput() - Method in class org.tensorflow.Output
asOutputs(Iterable) - Static method in class org.tensorflow.op.Operands: Converts a list of Operand into an array of Output.
aspectRatioRange - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: The cropped area of the image must have an aspect ratio = width / height within this range.
aspectRatioRange - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The cropped area of the image must have an aspect ratio = width / height within this range.
aspectRatioRange(Float...) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the aspectRatioRange option.
aspectRatioRange(Float...) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the aspectRatioRange option.
aspectRatioRange(Float...) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the aspectRatioRange option.
aspectRatioRange(Float...) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the aspectRatioRange option.
aspectRatioRange(List) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the aspectRatioRange option.
aspectRatioRange(List) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the aspectRatioRange option.
aspectRatioRange(List) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the aspectRatioRange option.
aspectRatioRange(List) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the aspectRatioRange option.
asRawTensor() - Method in class org.tensorflow.RawTensor
asRawTensor() - Method in interface org.tensorflow.SparseTensor
asRawTensor() - Method in interface org.tensorflow.Tensor: Returns a raw (untyped) representation of this tensor
assertCardinalityDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: The AssertCardinalityDataset operation
AssertCardinalityDataset - Class in org.tensorflow.op.data: The AssertCardinalityDataset operation
AssertCardinalityDataset(Operation) - Constructor for class org.tensorflow.op.data.AssertCardinalityDataset
AssertCardinalityDataset.Inputs - Class in org.tensorflow.op.data
assertNextDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalAssertNextDataset operation
assertNextDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: A transformation that asserts which transformations happen next.
AssertNextDataset - Class in org.tensorflow.op.data: A transformation that asserts which transformations happen next.
AssertNextDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalAssertNextDataset operation
AssertNextDataset(Operation) - Constructor for class org.tensorflow.op.data.AssertNextDataset
AssertNextDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.AssertNextDataset
AssertNextDataset.Inputs - Class in org.tensorflow.op.data
AssertNextDataset.Inputs - Class in org.tensorflow.op.data.experimental
assertPrevDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: A transformation that asserts which transformations happened previously.
AssertPrevDataset - Class in org.tensorflow.op.data: A transformation that asserts which transformations happened previously.
AssertPrevDataset(Operation) - Constructor for class org.tensorflow.op.data.AssertPrevDataset
AssertPrevDataset.Inputs - Class in org.tensorflow.op.data
assertThat(Operand, Iterable, AssertThat.Options...) - Method in class org.tensorflow.op.Ops: Asserts that the given condition is true.
AssertThat - Class in org.tensorflow.op.core: Asserts that the given condition is true.
AssertThat(Operation) - Constructor for class org.tensorflow.op.core.AssertThat
AssertThat.Inputs - Class in org.tensorflow.op.core
AssertThat.Options - Class in org.tensorflow.op.core: Optional attributes for AssertThat
ASSET - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase
ASSET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
ASSET_FILE_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef
ASSET_FILE_DEF_INDEX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
AssetFileDef - Class in org.tensorflow.proto: An asset file def for a single file or a set of sharded files with the same name.
AssetFileDef.Builder - Class in org.tensorflow.proto: An asset file def for a single file or a set of sharded files with the same name.
AssetFileDefOrBuilder - Interface in org.tensorflow.proto
assign(Operand, Operand, Assign.Options...) - Method in class org.tensorflow.op.Ops: Update 'ref' by assigning 'value' to it.
Assign<T> - Class in org.tensorflow.op.core: Update 'ref' by assigning 'value' to it.
Assign(Operation) - Constructor for class org.tensorflow.op.core.Assign
Assign.Inputs<T> - Class in org.tensorflow.op.core
Assign.Options - Class in org.tensorflow.op.core: Optional attributes for Assign
assignAdd(Operand, Operand, AssignAdd.Options...) - Method in class org.tensorflow.op.Ops: Update 'ref' by adding 'value' to it.
AssignAdd<T> - Class in org.tensorflow.op.core: Update 'ref' by adding 'value' to it.
AssignAdd(Operation) - Constructor for class org.tensorflow.op.core.AssignAdd
AssignAdd.Inputs<T> - Class in org.tensorflow.op.core
AssignAdd.Options - Class in org.tensorflow.op.core: Optional attributes for AssignAdd
assignAddVariableOp(Operand, Operand) - Method in class org.tensorflow.op.Ops: Adds a value to the current value of a variable.
AssignAddVariableOp - Class in org.tensorflow.op.core: Adds a value to the current value of a variable.
AssignAddVariableOp(Operation) - Constructor for class org.tensorflow.op.core.AssignAddVariableOp
AssignAddVariableOp.Inputs - Class in org.tensorflow.op.core
assignSub(Operand, Operand, AssignSub.Options...) - Method in class org.tensorflow.op.Ops: Update 'ref' by subtracting 'value' from it.
AssignSub<T> - Class in org.tensorflow.op.core: Update 'ref' by subtracting 'value' from it.
AssignSub(Operation) - Constructor for class org.tensorflow.op.core.AssignSub
AssignSub.Inputs<T> - Class in org.tensorflow.op.core
AssignSub.Options - Class in org.tensorflow.op.core: Optional attributes for AssignSub
assignSubVariableOp(Operand, Operand) - Method in class org.tensorflow.op.Ops: Subtracts a value from the current value of a variable.
AssignSubVariableOp - Class in org.tensorflow.op.core: Subtracts a value from the current value of a variable.
AssignSubVariableOp(Operation) - Constructor for class org.tensorflow.op.core.AssignSubVariableOp
AssignSubVariableOp.Inputs - Class in org.tensorflow.op.core
assignVariableConcatND(Operand, Iterable, List, AssignVariableConcatND.Options...) - Method in class org.tensorflow.op.XlaOps: Concats input tensor across all dimensions.
AssignVariableConcatND - Class in org.tensorflow.op.xla: Concats input tensor across all dimensions.
AssignVariableConcatND(Operation) - Constructor for class org.tensorflow.op.xla.AssignVariableConcatND
AssignVariableConcatND.Inputs - Class in org.tensorflow.op.xla
AssignVariableConcatND.Options - Class in org.tensorflow.op.xla: Optional attributes for AssignVariableConcatND
assignVariableOp(Operand, Operand, AssignVariableOp.Options...) - Method in class org.tensorflow.op.Ops: Assigns a new value to a variable.
AssignVariableOp - Class in org.tensorflow.op.core: Assigns a new value to a variable.
AssignVariableOp(Operation) - Constructor for class org.tensorflow.op.core.AssignVariableOp
AssignVariableOp.Inputs - Class in org.tensorflow.op.core
AssignVariableOp.Options - Class in org.tensorflow.op.core: Optional attributes for AssignVariableOp
asString(Operand, AsString.Options...) - Method in class org.tensorflow.op.DtypesOps: Converts each entry in the given tensor to strings.
AsString - Class in org.tensorflow.op.dtypes: Converts each entry in the given tensor to strings.
AsString(Operation) - Constructor for class org.tensorflow.op.dtypes.AsString
AsString.Inputs - Class in org.tensorflow.op.dtypes
AsString.Options - Class in org.tensorflow.op.dtypes: Optional attributes for AsString
asTensor() - Method in interface org.tensorflow.Operand: Returns the tensor at this operand.
asTensor() - Method in class org.tensorflow.Output: Returns the tensor at this output.
asTypedTensor() - Method in interface org.tensorflow.SparseTensor: Returns this instance as a typed tensor.
async(boolean) - Method in class org.tensorflow.EagerSession.Options: Controls how operations dispatched are actually executed.
ASYNC_INTERLEAVE_MANY - Enum constant in enum org.tensorflow.proto.data.model.Model.NodeClass: ASYNC_INTERLEAVE_MANY = 2;
ASYNC_INTERLEAVE_MANY_VALUE - Static variable in enum org.tensorflow.proto.data.model.Model.NodeClass: ASYNC_INTERLEAVE_MANY = 2;
ASYNC_KNOWN_RATIO - Enum constant in enum org.tensorflow.proto.data.model.Model.NodeClass: ASYNC_KNOWN_RATIO = 4;
ASYNC_KNOWN_RATIO_VALUE - Static variable in enum org.tensorflow.proto.data.model.Model.NodeClass: ASYNC_KNOWN_RATIO = 4;
ASYNC_UNKNOWN_RATIO - Enum constant in enum org.tensorflow.proto.data.model.Model.NodeClass: ASYNC_UNKNOWN_RATIO = 6;
ASYNC_UNKNOWN_RATIO_VALUE - Static variable in enum org.tensorflow.proto.data.model.Model.NodeClass: ASYNC_UNKNOWN_RATIO = 6;
atan(Operand) - Method in class org.tensorflow.op.MathOps: Computes the trignometric inverse tangent of x element-wise.
Atan<T> - Class in org.tensorflow.op.math: Computes the trignometric inverse tangent of x element-wise.
Atan(Operation) - Constructor for class org.tensorflow.op.math.Atan
Atan.Inputs<T> - Class in org.tensorflow.op.math
atan2(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes arctangent of y/x element-wise, respecting signs of the arguments.
Atan2<T> - Class in org.tensorflow.op.math: Computes arctangent of y/x element-wise, respecting signs of the arguments.
Atan2(Operation) - Constructor for class org.tensorflow.op.math.Atan2
Atan2.Inputs<T> - Class in org.tensorflow.op.math
atanh(Operand) - Method in class org.tensorflow.op.MathOps: Computes inverse hyperbolic tangent of x element-wise.
Atanh<T> - Class in org.tensorflow.op.math: Computes inverse hyperbolic tangent of x element-wise.
Atanh(Operation) - Constructor for class org.tensorflow.op.math.Atanh
Atanh.Inputs<T> - Class in org.tensorflow.op.math
attach(Pointer) - Method in class org.tensorflow.internal.WeakPointerScope: Attach a pointer to this scope.
attachFunction(ConcreteFunction) - Method in class org.tensorflow.EagerSession
attachFunction(ConcreteFunction) - Method in interface org.tensorflow.ExecutionEnvironment: Attach the function and its dependencies to this execution environment, allowing it to be called.
attachFunction(ConcreteFunction) - Method in class org.tensorflow.Graph
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FunctionDef.ArgAttrs
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FunctionDef
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NameAttrList
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeDef
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpInfo
ATTR_NOT_SET - Enum constant in enum org.tensorflow.proto.FullTypeDef.AttrCase
attributeMetadata(String) - Method in class org.tensorflow.op.RawOpInputs: Get the metadata for an attribute
AttributeMetadata - Class in org.tensorflow.op: Metadata of an op's attribute.
AttributeMetadata(boolean, long, int, long) - Constructor for class org.tensorflow.op.AttributeMetadata
AttributeMetadata(TF_AttrMetadata) - Constructor for class org.tensorflow.op.AttributeMetadata
attributeNames() - Method in class org.tensorflow.op.RawOpInputs: Get the names of this op's attributes
attributes() - Method in class org.tensorflow.GraphOperation: Get an inspector for the graph operation's attributes.
attributes() - Method in class org.tensorflow.op.RawOpInputs: Get an inspector for the operation's attributes.
ATTRIBUTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
attributeValue(String) - Method in class org.tensorflow.op.RawOpInputs: Get the value of an attribute as an AttrValue proto.
attributeValues() - Method in class org.tensorflow.op.RawOpInputs: Get all attribute value protos
AttrValue - Class in org.tensorflow.proto: Protocol buffer representing the value for an attr used to configure an Op.
AttrValue.Builder - Class in org.tensorflow.proto: Protocol buffer representing the value for an attr used to configure an Op.
AttrValue.ListValue - Class in org.tensorflow.proto: LINT.IfChange
AttrValue.ListValue.Builder - Class in org.tensorflow.proto: LINT.IfChange
AttrValue.ListValueOrBuilder - Interface in org.tensorflow.proto
AttrValue.ValueCase - Enum in org.tensorflow.proto
AttrValueOrBuilder - Interface in org.tensorflow.proto
AttrValueProtos - Class in org.tensorflow.proto
AUC<T> - Class in org.tensorflow.framework.metrics: Metric that computes the approximate AUC (Area under the curve) via a Riemann sum.
AUC(float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric using AUC.DEFAULT_NAME for the metric name, AUCCurve.ROC for the curve type, AUCSummationMethod.INTERPOLATION for the summation method, null for numThresholds, false for multiLabel, and null for labelWeights.
AUC(float[], AUCCurve, long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric using null for numThresholds, AUCSummationMethod.INTERPOLATION for the summation method, false for multiLabel, and null for labelWeights.
AUC(float[], AUCCurve, AUCSummationMethod, long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric using AUC.DEFAULT_NAME for the metric name, null for numThresholds, false for multiLabel, and null for labelWeights.
AUC(int, long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric using AUC.DEFAULT_NAME for the metric name, AUCCurve.ROC for the curve type, AUCSummationMethod.INTERPOLATION for the summation method, null for thresholds, false for multiLabel, and null for labelWeights.
AUC(int, AUCCurve, long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric using AUC.DEFAULT_NAME for the metric name, AUCSummationMethod.INTERPOLATION for the summation method, null for thresholds, false for multiLabel, and null for labelWeights.
AUC(int, AUCCurve, AUCSummationMethod, long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric. using AUC.DEFAULT_NAME for the metric name,, null for thresholds, false for multiLabel, and null for labelWeights.
AUC(long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric using AUC.DEFAULT_NAME for the metric name, AUC.DEFAULT_NUM_THRESHOLDS for the numThresholds, AUCCurve.ROC for the curve type, AUCSummationMethod.INTERPOLATION for the summation method, null for thresholds, false for multiLabel, and null for labelWeights.
AUC(String, float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric using null for numThresholds, AUCCurve.ROC for the curve type, AUCSummationMethod.INTERPOLATION for the summation method, AUC.DEFAULT_NUM_THRESHOLDS num thresholds, false for multiLabel, and null for labelWeights.
AUC(String, float[], AUCCurve, long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric using null for numThresholds, AUCSummationMethod.INTERPOLATION for the summation method, AUC.DEFAULT_NUM_THRESHOLDS num thresholds, false for multiLabel, and null for labelWeights.
AUC(String, float[], AUCCurve, AUCSummationMethod, long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric. using null for the numThresholds, false for multiLabel, and null for labelWeights.
AUC(String, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric. using AUCCurve.ROC for the curve type, AUCSummationMethod.INTERPOLATION for the summation method, null for thresholds, false for multiLabel, and null for labelWeights.
AUC(String, int, AUCCurve, long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric using AUCSummationMethod.INTERPOLATION for the summation method, null for thresholds, false for multiLabel, and null for labelWeights.
AUC(String, int, AUCCurve, AUCSummationMethod, float[], boolean, Operand, long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric.
AUC(String, int, AUCCurve, AUCSummationMethod, long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric. using null for thresholds, false for multiLabel, and null for labelWeights.
AUC(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.AUC: Creates an AUC (Area under the curve) metric using AUC.DEFAULT_NUM_THRESHOLDS for the numThresholds, AUCCurve.ROC for the curve type, AUCSummationMethod.INTERPOLATION for the summation method, null for thresholds, false for multiLabel, and null for labelWeights.
AUCCurve - Enum in org.tensorflow.framework.metrics: Specifies the type of the curve to be computed, AUCCurve.ROC for a Receiver Operator Characteristic curve [default] or AUCCurve.PR for a Precision-Recall-curve.
AUCSummationMethod - Enum in org.tensorflow.framework.metrics: Specifies the Riemann summation method used.
audio - Variable in class org.tensorflow.op.audio.EncodeWav.Inputs: 2-D with shape [length, channels].
audio - Variable in class org.tensorflow.op.Ops
audio() - Method in class org.tensorflow.op.audio.DecodeWav: Gets audio. 2-D with shape [length, channels].
AUDIO - Enum constant in enum org.tensorflow.proto.Summary.Value.ValueCase
AUDIO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Value
AudioOps - Class in org.tensorflow.op: An API for building audio operations as Ops
audioSpectrogram(Operand, Long, Long, AudioSpectrogram.Options...) - Method in class org.tensorflow.op.AudioOps: Produces a visualization of audio data over time.
AudioSpectrogram - Class in org.tensorflow.op.audio: Produces a visualization of audio data over time.
AudioSpectrogram(Operation) - Constructor for class org.tensorflow.op.audio.AudioSpectrogram
AudioSpectrogram.Inputs - Class in org.tensorflow.op.audio
AudioSpectrogram.Options - Class in org.tensorflow.op.audio: Optional attributes for AudioSpectrogram
audioSummary(Operand, Operand, Operand, AudioSummary.Options...) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with audio.
AudioSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with audio.
AudioSummary(Operation) - Constructor for class org.tensorflow.op.summary.AudioSummary
AudioSummary.Inputs - Class in org.tensorflow.op.summary
AudioSummary.Options - Class in org.tensorflow.op.summary: Optional attributes for AudioSummary
AUTO - Enum constant in enum org.tensorflow.framework.losses.Reduction
AUTO - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: AUTO: Attempts FILE-based sharding, falling back to DATA-based sharding.
AUTO_MIXED_PRECISION_CPU_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
AUTO_MIXED_PRECISION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
AUTO_MIXED_PRECISION_ONEDNN_BFLOAT16_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
AUTO_PARALLEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
AUTO_SHARD_POLICY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
AUTO_VALUE - Static variable in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: AUTO: Attempts FILE-based sharding, falling back to DATA-based sharding.
AutoParallelOptions - Class in org.tensorflow.proto: Protobuf type tensorflow.AutoParallelOptions
AutoParallelOptions.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.AutoParallelOptions
AutoParallelOptionsOrBuilder - Interface in org.tensorflow.proto
autoShardDataset(Operand, Operand, Operand, List, List, AutoShardDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that shards the input dataset.
autoShardDataset(Operand, Operand, Operand, List, List, AutoShardDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that shards the input dataset.
AutoShardDataset - Class in org.tensorflow.op.data: Creates a dataset that shards the input dataset.
AutoShardDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that shards the input dataset.
AutoShardDataset(Operation) - Constructor for class org.tensorflow.op.data.AutoShardDataset
AutoShardDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.AutoShardDataset
AutoShardDataset.Inputs - Class in org.tensorflow.op.data
AutoShardDataset.Inputs - Class in org.tensorflow.op.data.experimental
AutoShardDataset.Options - Class in org.tensorflow.op.data: Optional attributes for AutoShardDataset
AutoShardDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for AutoShardDataset
autoShardPolicy - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: The autoShardPolicy attribute
autoShardPolicy - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: The autoShardPolicy attribute
autoShardPolicy(Long) - Static method in class org.tensorflow.op.data.AutoShardDataset: Sets the autoShardPolicy option.
autoShardPolicy(Long) - Method in class org.tensorflow.op.data.AutoShardDataset.Options: Sets the autoShardPolicy option.
autoShardPolicy(Long) - Static method in class org.tensorflow.op.data.experimental.AutoShardDataset: Sets the autoShardPolicy option.
autoShardPolicy(Long) - Method in class org.tensorflow.op.data.experimental.AutoShardDataset.Options: Sets the autoShardPolicy option.
AUTOTUNE_ALGORITHM - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalAutotuneAlgorithmCase
AUTOTUNE_ALGORITHM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
AUTOTUNE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
AUTOTUNE_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.Options
autotunerThresh - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The autotunerThresh attribute
autotunerThresh(Long) - Static method in class org.tensorflow.op.tpu.PartitionedCall: Sets the autotunerThresh option.
autotunerThresh(Long) - Method in class org.tensorflow.op.tpu.PartitionedCall.Options: Sets the autotunerThresh option.
auxiliary1 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the first auxiliary optimization parameter to use in embedding training loop updates.
auxiliary1() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary1.
auxiliary2 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the second auxiliary optimization parameter to use in embedding training loop updates.
auxiliary2() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary2.
auxiliary3 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the third auxiliary optimization parameter to use in embedding training loop updates.
auxiliary3() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary3.
auxiliary4 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the second auxiliary optimization parameter to use in embedding training loop updates.
auxiliary4() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary4.
auxiliary5 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the third auxiliary optimization parameter to use in embedding training loop updates.
auxiliary5() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary5.
auxiliary6 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the second auxiliary optimization parameter to use in embedding training loop updates.
auxiliary6() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary6.
auxiliary7 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the third auxiliary optimization parameter to use in embedding training loop updates.
auxiliary7() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary7.
AVAILABLE_DEVICE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MachineConfiguration
AVAILABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryInfo
AvailableDeviceInfo - Class in org.tensorflow.proto: Matches DeviceAttributes
AvailableDeviceInfo.Builder - Class in org.tensorflow.proto: Matches DeviceAttributes
AvailableDeviceInfoOrBuilder - Interface in org.tensorflow.proto
aValGrad() - Method in class org.tensorflow.op.sparse.SparseAddGrad: Gets aValGrad. 1-D with shape [nnz(A)].
aValues - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 1-D.
aValues - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: 1-D.
aValues - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: 1-D.
aValues - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: 1-D.
aValues - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: 1-D.
average() - Method in class org.tensorflow.op.train.AccumulatorTakeGradient: Gets average.
average() - Method in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient: Gets average.
avgPool(Operand, List, List, String, AvgPool.Options...) - Method in class org.tensorflow.op.NnOps: Performs average pooling on the input.
AvgPool<T> - Class in org.tensorflow.op.nn: Performs average pooling on the input.
AvgPool(Operation) - Constructor for class org.tensorflow.op.nn.AvgPool
AvgPool.Inputs<T> - Class in org.tensorflow.op.nn
AvgPool.Options - Class in org.tensorflow.op.nn: Optional attributes for AvgPool
avgPool3d(Operand, List, List, String, AvgPool3d.Options...) - Method in class org.tensorflow.op.NnOps: Performs 3D average pooling on the input.
AvgPool3d<T> - Class in org.tensorflow.op.nn: Performs 3D average pooling on the input.
AvgPool3d(Operation) - Constructor for class org.tensorflow.op.nn.AvgPool3d
AvgPool3d.Inputs<T> - Class in org.tensorflow.op.nn
AvgPool3d.Options - Class in org.tensorflow.op.nn: Optional attributes for AvgPool3d
avgPool3dGrad(Operand, Operand, List, List, String, AvgPool3dGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of average pooling function.
AvgPool3dGrad<T> - Class in org.tensorflow.op.nn: Computes gradients of average pooling function.
AvgPool3dGrad(Operation) - Constructor for class org.tensorflow.op.nn.AvgPool3dGrad
AvgPool3dGrad.Inputs<T> - Class in org.tensorflow.op.nn
AvgPool3dGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for AvgPool3dGrad
avgPoolGrad(Operand, Operand, List, List, String, AvgPoolGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of the average pooling function.
AvgPoolGrad<T> - Class in org.tensorflow.op.nn: Computes gradients of the average pooling function.
AvgPoolGrad(Operation) - Constructor for class org.tensorflow.op.nn.AvgPoolGrad
AvgPoolGrad.Inputs<T> - Class in org.tensorflow.op.nn
AvgPoolGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for AvgPoolGrad
axes - Variable in class org.tensorflow.op.signal.FftNd.Inputs: An int32 tensor with a same shape as fft_length.
axes - Variable in class org.tensorflow.op.signal.IfftNd.Inputs: An int32 tensor with a same shape as fft_length.
axes - Variable in class org.tensorflow.op.signal.IrfftNd.Inputs: An int32 tensor with a same shape as fft_length.
axes - Variable in class org.tensorflow.op.signal.RfftNd.Inputs: An int32 tensor with a same shape as fft_length.
Axes - Class in org.tensorflow.framework.op.math: Axes Operations
Axes() - Constructor for class org.tensorflow.framework.op.math.Axes
axis - Variable in class org.tensorflow.op.core.All.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Any.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Concat.Inputs: 0-D.
axis - Variable in class org.tensorflow.op.core.ExpandDims.Inputs: 0-D (scalar).
axis - Variable in class org.tensorflow.op.core.Gather.Inputs: The axis in params to gather indices from.
axis - Variable in class org.tensorflow.op.core.Max.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Min.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.OneHot.Inputs: The axis to fill (default: -1, a new inner-most axis).
axis - Variable in class org.tensorflow.op.core.Prod.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceAll.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceAny.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Reverse.Inputs: 1-D.
axis - Variable in class org.tensorflow.op.core.Roll.Inputs: Dimension must be 0-D or 1-D.
axis - Variable in class org.tensorflow.op.core.Split.Inputs: 0-D.
axis - Variable in class org.tensorflow.op.core.SplitV.Inputs: 0-D.
axis - Variable in class org.tensorflow.op.core.Squeeze.Inputs: If specified, only squeezes the dimensions listed.
axis - Variable in class org.tensorflow.op.core.Stack.Inputs: Dimension along which to pack.
axis - Variable in class org.tensorflow.op.core.Sum.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Unique.Inputs: A Tensor of type int32 (default: None).
axis - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: A Tensor of type int32 (default: None).
axis - Variable in class org.tensorflow.op.core.Unstack.Inputs: Dimension along which to unpack.
axis - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.math.Cumprod.Inputs: A Tensor of type int32 (default: 0).
axis - Variable in class org.tensorflow.op.math.Cumsum.Inputs: A Tensor of type int32 (default: 0).
axis - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: A Tensor of type int32 (default: 0).
axis - Variable in class org.tensorflow.op.math.Mean.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The axis attribute
axis - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The axis attribute
axis - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The axis attribute
axis - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The axis attribute
axis - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: If specified, this axis is treated as a channel or slice axis, and a separate quantization range is used for each channel or slice along this axis.
axis - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The axis attribute
axis(int) - Static method in class org.tensorflow.op.core.BooleanMask: Used to indicate the axis to mask from.
axis(Integer) - Static method in class org.tensorflow.op.core.BooleanMask: Used to indicate the axis to mask from.
axis(Integer) - Method in class org.tensorflow.op.core.BooleanMask.Options
axis(Integer) - Static method in class org.tensorflow.op.core.BooleanMaskUpdate: Used to indicate the axis to mask from.
axis(Integer) - Method in class org.tensorflow.op.core.BooleanMaskUpdate.Options
axis(Long) - Static method in class org.tensorflow.op.core.OneHot: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.core.OneHot.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.core.Stack: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.core.Stack.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.core.Unstack: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.core.Unstack.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.Dequantize: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.quantization.Dequantize.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Options: Sets the axis option.
axis(Long...) - Static method in class org.tensorflow.op.core.Squeeze: Sets the axis option.
axis(Long...) - Method in class org.tensorflow.op.core.Squeeze.Options: Sets the axis option.
axis(List) - Static method in class org.tensorflow.op.core.Squeeze: Sets the axis option.
axis(List) - Method in class org.tensorflow.op.core.Squeeze.Options: Sets the axis option.
AXIS_DEFAULT - Static variable in class org.tensorflow.framework.constraints.MaxNorm
AXIS_DEFAULT - Static variable in class org.tensorflow.framework.constraints.MinMaxNorm
AXIS_DEFAULT - Static variable in class org.tensorflow.framework.constraints.UnitNorm
AXIS_DEFAULT - Static variable in class org.tensorflow.framework.losses.SparseCategoricalCrossentropy

B

b - Variable in class org.tensorflow.op.linalg.Cross.Inputs: Another tensor, of same type and shape as a.
b - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The b input
b - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: Must be a two-dimensional tensor.
b - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: A matrix to be multiplied and must be a two-dimensional tensor of type qint8.
b - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: A matrix to be multiplied and must be a two-dimensional tensor of type qint8.
b - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: A matrix to be multiplied and must be a two-dimensional tensor of type qint8.
b - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: A CSRSparseMatrix.
b - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: A dense tensor.
b - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMul.Inputs: A dense tensor.
b - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: A CSRSparseMatrix.
b - Variable in class org.tensorflow.op.math.Betainc.Inputs: The b input
b - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The bias vector.
b - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The bias vector.
b - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The bias vector.
b - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The bias vector.
b - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The b input
b - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The b input
b - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The b input
b - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: ndims-D Tensor.
b - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: 2-D.
B - Enum constant in enum org.tensorflow.proto.AttrValue.ValueCase
B_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue
B_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue.ListValue
B_MINUS_A - Enum constant in enum org.tensorflow.framework.op.sets.Sets.Operation
BACK_PROP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WhileContextDef
BACKEND_SERVER_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
backprop - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: 4D backprop Tensor.
backprop() - Method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits: Gets backprop. backpropagated gradients (batch_size x num_classes matrix).
backprop() - Method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits: Gets backprop. backpropagated gradients (batch_size x num_classes matrix).
backprops() - Method in class org.tensorflow.op.data.LeakyReluGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.math.SoftplusGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.EluGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.Relu6Grad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.ReluGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.SeluGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.SoftsignGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Gets backprops.
backpropsWrtInput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Gets backpropsWrtInput.
backpropsWrtInput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Gets backpropsWrtInput.
backpropValGrad - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: 1-D with shape [nnz(sum)].
backpropValGrad - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: 1-D.
backpropWrtMax() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Gets backpropWrtMax.
backpropWrtMax() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Gets backpropWrtMax.
backpropWrtMin() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Gets backpropWrtMin.
backpropWrtMin() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Gets backpropWrtMin.
BAD_CONSUMERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VersionDef
badColor - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: Color to use for pixels with non-finite values.
badColor - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The badColor input
badColor(Tensor) - Static method in class org.tensorflow.op.summary.ImageSummary: Sets the badColor option.
badColor(Tensor) - Method in class org.tensorflow.op.summary.ImageSummary.Options: Sets the badColor option.
badIndicesPolicy - Variable in class org.tensorflow.op.core.GatherNd.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: The badIndicesPolicy attribute
badIndicesPolicy - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: The badIndicesPolicy attribute
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.GatherNd: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.GatherNd.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.ResourceScatterNdAdd: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.ResourceScatterNdAdd.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.ResourceScatterNdMax: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.ResourceScatterNdMax.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.ResourceScatterNdMin: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.ResourceScatterNdMin.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.ResourceScatterNdSub: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.ResourceScatterNdSub.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.ResourceScatterNdUpdate: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.ResourceScatterNdUpdate.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.ScatterNd: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.ScatterNd.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.ScatterNdAdd: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.ScatterNdAdd.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.ScatterNdMax: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.ScatterNdMax.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.ScatterNdMin: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.ScatterNdMin.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.ScatterNdSub: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.ScatterNdSub.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.ScatterNdUpdate: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.ScatterNdUpdate.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.TensorScatterNdAdd: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.TensorScatterNdAdd.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.TensorScatterNdMax: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.TensorScatterNdMax.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.TensorScatterNdMin: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.TensorScatterNdMin.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.TensorScatterNdSub: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.TensorScatterNdSub.Options: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Static method in class org.tensorflow.op.core.TensorScatterNdUpdate: Sets the badIndicesPolicy option.
badIndicesPolicy(String) - Method in class org.tensorflow.op.core.TensorScatterNdUpdate.Options: Sets the badIndicesPolicy option.
band() - Method in class org.tensorflow.op.linalg.BandPart: Gets band.
band() - Method in class org.tensorflow.op.linalg.BatchMatrixBandPart: Gets band.
bandedTriangularSolve(Operand, Operand, BandedTriangularSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: The BandedTriangularSolve operation
BandedTriangularSolve<T> - Class in org.tensorflow.op.linalg: The BandedTriangularSolve operation
BandedTriangularSolve(Operation) - Constructor for class org.tensorflow.op.linalg.BandedTriangularSolve
BandedTriangularSolve.Inputs<T> - Class in org.tensorflow.op.linalg
BandedTriangularSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for BandedTriangularSolve
bandPart(Operand, Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: Copy a tensor setting everything outside a central band in each innermost matrix to zero.
BandPart<T> - Class in org.tensorflow.op.linalg: Copy a tensor setting everything outside a central band in each innermost matrix to zero.
BandPart(Operation) - Constructor for class org.tensorflow.op.linalg.BandPart
BandPart.Inputs<T,U> - Class in org.tensorflow.op.linalg
BANDWIDTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
BARE_CONCRETE_FUNCTION - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase
BARE_CONCRETE_FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
barrier(List, Barrier.Options...) - Method in class org.tensorflow.op.Ops: Defines a barrier that persists across different graph executions.
Barrier - Class in org.tensorflow.op.core: Defines a barrier that persists across different graph executions.
Barrier(Operation) - Constructor for class org.tensorflow.op.core.Barrier
Barrier.Inputs - Class in org.tensorflow.op.core
Barrier.Options - Class in org.tensorflow.op.core: Optional attributes for Barrier
barrierClose(Operand, BarrierClose.Options...) - Method in class org.tensorflow.op.Ops: Closes the given barrier.
BarrierClose - Class in org.tensorflow.op.core: Closes the given barrier.
BarrierClose(Operation) - Constructor for class org.tensorflow.op.core.BarrierClose
BarrierClose.Inputs - Class in org.tensorflow.op.core
BarrierClose.Options - Class in org.tensorflow.op.core: Optional attributes for BarrierClose
barrierIncompleteSize(Operand) - Method in class org.tensorflow.op.Ops: Computes the number of incomplete elements in the given barrier.
BarrierIncompleteSize - Class in org.tensorflow.op.core: Computes the number of incomplete elements in the given barrier.
BarrierIncompleteSize(Operation) - Constructor for class org.tensorflow.op.core.BarrierIncompleteSize
BarrierIncompleteSize.Inputs - Class in org.tensorflow.op.core
barrierInsertMany(Operand, Operand, Operand, Long) - Method in class org.tensorflow.op.Ops: For each key, assigns the respective value to the specified component.
BarrierInsertMany - Class in org.tensorflow.op.core: For each key, assigns the respective value to the specified component.
BarrierInsertMany(Operation) - Constructor for class org.tensorflow.op.core.BarrierInsertMany
BarrierInsertMany.Inputs - Class in org.tensorflow.op.core
barrierReadySize(Operand) - Method in class org.tensorflow.op.Ops: Computes the number of complete elements in the given barrier.
BarrierReadySize - Class in org.tensorflow.op.core: Computes the number of complete elements in the given barrier.
BarrierReadySize(Operation) - Constructor for class org.tensorflow.op.core.BarrierReadySize
BarrierReadySize.Inputs - Class in org.tensorflow.op.core
barrierTakeMany(Operand, Operand, List, BarrierTakeMany.Options...) - Method in class org.tensorflow.op.Ops: Takes the given number of completed elements from a barrier.
BarrierTakeMany - Class in org.tensorflow.op.core: Takes the given number of completed elements from a barrier.
BarrierTakeMany(Operation) - Constructor for class org.tensorflow.op.core.BarrierTakeMany
BarrierTakeMany.Inputs - Class in org.tensorflow.op.core
BarrierTakeMany.Options - Class in org.tensorflow.op.core: Optional attributes for BarrierTakeMany
BaseInitializer<T> - Class in org.tensorflow.framework.initializers: Abstract base class for all Initializers
BaseInitializer() - Constructor for class org.tensorflow.framework.initializers.BaseInitializer: Creates an Initializer
baseKey - Variable in class org.tensorflow.op.collective.CollectiveAssignGroup.Inputs: The baseKey input
BaseMetric - Class in org.tensorflow.framework.metrics: Base class for Metrics
BaseMetric(long) - Constructor for class org.tensorflow.framework.metrics.BaseMetric: Creates a Metric with a name of Class.getSimpleName()
BaseMetric(String, long) - Constructor for class org.tensorflow.framework.metrics.BaseMetric: Creates a Metric
basename - Variable in class org.tensorflow.op.io.ShardedFilename.Inputs: The basename input
basename - Variable in class org.tensorflow.op.io.ShardedFilespec.Inputs: The basename input
baseScope() - Method in class org.tensorflow.EagerSession
baseScope() - Method in interface org.tensorflow.ExecutionEnvironment: Get the top level scope for this execution environment.
baseScope() - Method in class org.tensorflow.Graph
batch - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Inputs: A list of 1D tensors, one for each embedding table, containing the batch inputs encoded as dist_belief.SparseFeatures protos.
batch - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Inputs: A list of 1D tensors, one for each embedding table, containing the indices into the tables.
batch(long) - Method in class org.tensorflow.framework.data.Dataset: Groups elements of this dataset into batches.
batch(long, boolean) - Method in class org.tensorflow.framework.data.Dataset: Groups elements of this dataset into batches.
batch(Iterable, Long, Long, Long, Long, Batch.Options...) - Method in class org.tensorflow.op.Ops: Batches all input tensors nondeterministically.
Batch - Class in org.tensorflow.op.core: Batches all input tensors nondeterministically.
Batch(Operation) - Constructor for class org.tensorflow.op.core.Batch
Batch.Inputs - Class in org.tensorflow.op.core
Batch.Options - Class in org.tensorflow.op.core: Optional attributes for Batch
batchCholesky(Operand) - Method in class org.tensorflow.op.LinalgOps: The BatchCholesky operation
BatchCholesky<T> - Class in org.tensorflow.op.linalg: The BatchCholesky operation
BatchCholesky(Operation) - Constructor for class org.tensorflow.op.linalg.BatchCholesky
BatchCholesky.Inputs<T> - Class in org.tensorflow.op.linalg
batchCholeskyGrad(Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: The BatchCholeskyGrad operation
BatchCholeskyGrad<T> - Class in org.tensorflow.op.linalg: The BatchCholeskyGrad operation
BatchCholeskyGrad(Operation) - Constructor for class org.tensorflow.op.linalg.BatchCholeskyGrad
BatchCholeskyGrad.Inputs<T> - Class in org.tensorflow.op.linalg
batchDataset(Operand, Operand, Operand, List, List, BatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that batches batch_size elements from input_dataset.
BatchDataset - Class in org.tensorflow.op.data: Creates a dataset that batches batch_size elements from input_dataset.
BatchDataset(Operation) - Constructor for class org.tensorflow.op.data.BatchDataset
BatchDataset.Inputs - Class in org.tensorflow.op.data
BatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for BatchDataset
batchDim - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The dimension along which reversal is performed.
batchDim(Long) - Static method in class org.tensorflow.op.core.ReverseSequence: Sets the batchDim option.
batchDim(Long) - Method in class org.tensorflow.op.core.ReverseSequence.Options: Sets the batchDim option.
batchDims - Variable in class org.tensorflow.op.core.Gather.Inputs: The batchDims attribute
batchDims - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The batchDims attribute
batchDims - Variable in class org.tensorflow.op.nn.Conv.Inputs: A positive integer specifying the number of batch dimensions for the input tensor.
batchDims(Long) - Static method in class org.tensorflow.op.core.Gather: Sets the batchDims option.
batchDims(Long) - Method in class org.tensorflow.op.core.Gather.Options: Sets the batchDims option.
batchDims(Long) - Static method in class org.tensorflow.op.core.ResourceGather: Sets the batchDims option.
batchDims(Long) - Method in class org.tensorflow.op.core.ResourceGather.Options: Sets the batchDims option.
batchDims(Long) - Static method in class org.tensorflow.op.nn.Conv: Sets the batchDims option.
batchDims(Long) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the batchDims option.
batchedGrad() - Method in class org.tensorflow.op.core.UnbatchGrad: Gets batchedGrad.
batchedInput - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: A bool denoting whether the input is a batched RaggedTensor.
batchedTensor - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The batchedTensor input
batchedTensors() - Method in class org.tensorflow.op.core.Batch: Gets batchedTensors.
batchFft(Operand) - Method in class org.tensorflow.op.SignalOps: The BatchFFT operation
BatchFft - Class in org.tensorflow.op.signal: The BatchFFT operation
BatchFft(Operation) - Constructor for class org.tensorflow.op.signal.BatchFft
BatchFft.Inputs - Class in org.tensorflow.op.signal
batchFft2d(Operand) - Method in class org.tensorflow.op.SignalOps: The BatchFFT2D operation
BatchFft2d - Class in org.tensorflow.op.signal: The BatchFFT2D operation
BatchFft2d(Operation) - Constructor for class org.tensorflow.op.signal.BatchFft2d
BatchFft2d.Inputs - Class in org.tensorflow.op.signal
batchFft3d(Operand) - Method in class org.tensorflow.op.SignalOps: The BatchFFT3D operation
BatchFft3d - Class in org.tensorflow.op.signal: The BatchFFT3D operation
BatchFft3d(Operation) - Constructor for class org.tensorflow.op.signal.BatchFft3d
BatchFft3d.Inputs - Class in org.tensorflow.op.signal
batchFunction(Iterable, Iterable, ConcreteFunction, Long, Long, Long, List, BatchFunction.Options...) - Method in class org.tensorflow.op.Ops: Batches all the inputs tensors to the computation done by the function.
BatchFunction - Class in org.tensorflow.op.core: Batches all the inputs tensors to the computation done by the function.
BatchFunction(Operation) - Constructor for class org.tensorflow.op.core.BatchFunction
BatchFunction.Inputs - Class in org.tensorflow.op.core
BatchFunction.Options - Class in org.tensorflow.op.core: Optional attributes for BatchFunction
batchGroupCount - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The number of batch groups.
batchGroupCount - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The number of batch groups.
batchGroupCount(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the batchGroupCount option.
batchGroupCount(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the batchGroupCount option.
batchGroupCount(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the batchGroupCount option.
batchGroupCount(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the batchGroupCount option.
batchIfft(Operand) - Method in class org.tensorflow.op.SignalOps: The BatchIFFT operation
BatchIfft - Class in org.tensorflow.op.signal: The BatchIFFT operation
BatchIfft(Operation) - Constructor for class org.tensorflow.op.signal.BatchIfft
BatchIfft.Inputs - Class in org.tensorflow.op.signal
batchIfft2d(Operand) - Method in class org.tensorflow.op.SignalOps: The BatchIFFT2D operation
BatchIfft2d - Class in org.tensorflow.op.signal: The BatchIFFT2D operation
BatchIfft2d(Operation) - Constructor for class org.tensorflow.op.signal.BatchIfft2d
BatchIfft2d.Inputs - Class in org.tensorflow.op.signal
batchIfft3d(Operand) - Method in class org.tensorflow.op.SignalOps: The BatchIFFT3D operation
BatchIfft3d - Class in org.tensorflow.op.signal: The BatchIFFT3D operation
BatchIfft3d(Operation) - Constructor for class org.tensorflow.op.signal.BatchIfft3d
BatchIfft3d.Inputs - Class in org.tensorflow.op.signal
batchIndex - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The batchIndex input
batchIndex - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The batchIndex input
batchIndex() - Method in class org.tensorflow.op.core.Batch: Gets batchIndex.
batchingQueue - Variable in class org.tensorflow.op.core.Batch.Inputs: The batchingQueue attribute
batchingQueue - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The batchingQueue attribute
batchingQueue(String) - Static method in class org.tensorflow.op.core.Batch: Sets the batchingQueue option.
batchingQueue(String) - Method in class org.tensorflow.op.core.Batch.Options: Sets the batchingQueue option.
batchingQueue(String) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the batchingQueue option.
batchingQueue(String) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the batchingQueue option.
batchMatMul(Operand, Operand, Class, BatchMatMul.Options...) - Method in class org.tensorflow.op.TrainOps: Multiplies slices of two tensors in batches.
BatchMatMul<V> - Class in org.tensorflow.op.train: Multiplies slices of two tensors in batches.
BatchMatMul(Operation) - Constructor for class org.tensorflow.op.train.BatchMatMul
BatchMatMul.Inputs - Class in org.tensorflow.op.train
BatchMatMul.Options - Class in org.tensorflow.op.train: Optional attributes for BatchMatMul
batchMatrixBandPart(Operand, Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixBandPart operation
BatchMatrixBandPart<T> - Class in org.tensorflow.op.linalg: The BatchMatrixBandPart operation
BatchMatrixBandPart(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixBandPart
BatchMatrixBandPart.Inputs<T> - Class in org.tensorflow.op.linalg
batchMatrixDeterminant(Operand) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixDeterminant operation
BatchMatrixDeterminant<T> - Class in org.tensorflow.op.linalg: The BatchMatrixDeterminant operation
BatchMatrixDeterminant(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDeterminant
BatchMatrixDeterminant.Inputs<T> - Class in org.tensorflow.op.linalg
batchMatrixDiag(Operand) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixDiag operation
BatchMatrixDiag<T> - Class in org.tensorflow.op.linalg: The BatchMatrixDiag operation
BatchMatrixDiag(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDiag
BatchMatrixDiag.Inputs<T> - Class in org.tensorflow.op.linalg
batchMatrixDiagPart(Operand) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixDiagPart operation
BatchMatrixDiagPart<T> - Class in org.tensorflow.op.linalg: The BatchMatrixDiagPart operation
BatchMatrixDiagPart(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDiagPart
BatchMatrixDiagPart.Inputs<T> - Class in org.tensorflow.op.linalg
batchMatrixInverse(Operand, BatchMatrixInverse.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixInverse operation DEPRECATED: This operation is deprecated and will be removed in a future version.
BatchMatrixInverse<T> - Class in org.tensorflow.op.linalg: The BatchMatrixInverse operation DEPRECATED: This operation is deprecated and will be removed in a future version.
BatchMatrixInverse(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixInverse
BatchMatrixInverse.Inputs<T> - Class in org.tensorflow.op.linalg
BatchMatrixInverse.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchMatrixInverse
batchMatrixSetDiag(Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixSetDiag operation
BatchMatrixSetDiag<T> - Class in org.tensorflow.op.linalg: The BatchMatrixSetDiag operation
BatchMatrixSetDiag(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSetDiag
BatchMatrixSetDiag.Inputs<T> - Class in org.tensorflow.op.linalg
batchMatrixSolve(Operand, Operand, BatchMatrixSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixSolve operation
BatchMatrixSolve<T> - Class in org.tensorflow.op.linalg: The BatchMatrixSolve operation
BatchMatrixSolve(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSolve
BatchMatrixSolve.Inputs<T> - Class in org.tensorflow.op.linalg
BatchMatrixSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchMatrixSolve
batchMatrixSolveLs(Operand, Operand, Operand, BatchMatrixSolveLs.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixSolveLs operation
BatchMatrixSolveLs<T> - Class in org.tensorflow.op.linalg: The BatchMatrixSolveLs operation
BatchMatrixSolveLs(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSolveLs
BatchMatrixSolveLs.Inputs<T> - Class in org.tensorflow.op.linalg
BatchMatrixSolveLs.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchMatrixSolveLs
batchMatrixTriangularSolve(Operand, Operand, BatchMatrixTriangularSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixTriangularSolve operation
BatchMatrixTriangularSolve<T> - Class in org.tensorflow.op.linalg: The BatchMatrixTriangularSolve operation
BatchMatrixTriangularSolve(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixTriangularSolve
BatchMatrixTriangularSolve.Inputs<T> - Class in org.tensorflow.op.linalg
BatchMatrixTriangularSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchMatrixTriangularSolve
batchMean() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets batchMean.
batchNormWithGlobalNormalization(Operand, Operand, Operand, Operand, Operand, Float, Boolean) - Method in class org.tensorflow.op.NnOps: Batch normalization.
BatchNormWithGlobalNormalization<T> - Class in org.tensorflow.op.nn: Batch normalization.
BatchNormWithGlobalNormalization(Operation) - Constructor for class org.tensorflow.op.nn.BatchNormWithGlobalNormalization
BatchNormWithGlobalNormalization.Inputs<T> - Class in org.tensorflow.op.nn
batchNormWithGlobalNormalizationGrad(Operand, Operand, Operand, Operand, Operand, Float, Boolean) - Method in class org.tensorflow.op.NnOps: Gradients for batch normalization.
BatchNormWithGlobalNormalizationGrad<T> - Class in org.tensorflow.op.nn: Gradients for batch normalization.
BatchNormWithGlobalNormalizationGrad(Operation) - Constructor for class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad
BatchNormWithGlobalNormalizationGrad.Inputs<T> - Class in org.tensorflow.op.nn
batchPaddingPolicy - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The batchPaddingPolicy attribute
batchPaddingPolicy(String) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the batchPaddingPolicy option.
batchPaddingPolicy(String) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the batchPaddingPolicy option.
batchSelfAdjointEig(Operand, BatchSelfAdjointEig.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchSelfAdjointEigV2 operation
BatchSelfAdjointEig<T> - Class in org.tensorflow.op.linalg: The BatchSelfAdjointEigV2 operation
BatchSelfAdjointEig(Operation) - Constructor for class org.tensorflow.op.linalg.BatchSelfAdjointEig
BatchSelfAdjointEig.Inputs<T> - Class in org.tensorflow.op.linalg
BatchSelfAdjointEig.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchSelfAdjointEig
batchSize - Variable in class org.tensorflow.op.core.Skipgram.Inputs: The size of produced batch.
batchSize - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The batchSize input
batchSize - Variable in class org.tensorflow.op.random.RecordInput.Inputs: The batch size.
batchSize() - Method in class org.tensorflow.op.train.ComputeBatchSize: Gets batchSize.
batchSize(Long) - Static method in class org.tensorflow.op.random.RecordInput: Sets the batchSize option.
batchSize(Long) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the batchSize option.
batchSizes - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: A vector of integers representing the size of batches to produce.
batchSvd(Operand, BatchSvd.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchSvd operation
BatchSvd<T> - Class in org.tensorflow.op.linalg: The BatchSvd operation
BatchSvd(Operation) - Constructor for class org.tensorflow.op.linalg.BatchSvd
BatchSvd.Inputs<T> - Class in org.tensorflow.op.linalg
BatchSvd.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchSvd
batchTimeoutMicros - Variable in class org.tensorflow.op.core.Batch.Inputs: The batchTimeoutMicros attribute
batchTimeoutMicros - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Maximum number of microseconds to wait before outputting an incomplete batch.
batchToSpace(Operand, Operand, Long) - Method in class org.tensorflow.op.Ops: BatchToSpace for 4-D tensors of type T.
BatchToSpace<T> - Class in org.tensorflow.op.core: BatchToSpace for 4-D tensors of type T.
BatchToSpace(Operation) - Constructor for class org.tensorflow.op.core.BatchToSpace
BatchToSpace.Inputs<T> - Class in org.tensorflow.op.core
batchToSpaceNd(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: BatchToSpace for N-D tensors of type T.
BatchToSpaceNd<T> - Class in org.tensorflow.op.core: BatchToSpace for N-D tensors of type T.
BatchToSpaceNd(Operation) - Constructor for class org.tensorflow.op.core.BatchToSpaceNd
BatchToSpaceNd.Inputs<T> - Class in org.tensorflow.op.core
batchVariance() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets batchVariance.
bboxDeltas - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A 4-D float tensor of shape [num_images, height, width, 4 x num_anchors]. encoding boxes with respec to each anchor.
bboxes() - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Gets bboxes. 3-D with shape [1, 1, 4] containing the distorted bounding box.
bboxes() - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Gets bboxes. 3-D with shape [1, 1, 4] containing the distorted bounding box.
bC - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The bC input
bC - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The bC input
beamWidth - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: A scalar >= 0 (beam search beam width).
begin - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The begin input
begin - Variable in class org.tensorflow.op.core.Slice.Inputs: begin[i] specifies the offset into the 'i'th dimension of 'input' to slice from.
begin - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: begin[k] specifies the offset into the kth range specification.
begin - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The begin input
begin - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The begin input
begin - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The begin input
begin() - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Gets begin. 1-D, containing [offset_height, offset_width, 0].
begin() - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Gets begin. 1-D, containing [offset_height, offset_width, 0].
beginMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The beginMask attribute
beginMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: a bitmask where a bit i being 1 means to ignore the begin value and instead use the largest interval possible.
beginMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The beginMask attribute
beginMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The beginMask attribute
beginMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The beginMask attribute
beginMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the beginMask option.
beginMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the beginMask option.
beginMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the beginMask option.
beginMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the beginMask option.
beginMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the beginMask option.
beginMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the beginMask option.
beginMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the beginMask option.
beginMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the beginMask option.
beginMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the beginMask option.
beginMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the beginMask option.
BENCHMARK_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TestResults
BenchmarkEntries - Class in org.tensorflow.proto: Protobuf type tensorflow.BenchmarkEntries
BenchmarkEntries.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.BenchmarkEntries
BenchmarkEntriesOrBuilder - Interface in org.tensorflow.proto
BenchmarkEntry - Class in org.tensorflow.proto: Each unit test or benchmark in a test or benchmark run provides some set of information.
BenchmarkEntry.Builder - Class in org.tensorflow.proto: Each unit test or benchmark in a test or benchmark run provides some set of information.
BenchmarkEntryOrBuilder - Interface in org.tensorflow.proto
benefits - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: Value of benefits used in the MDL Adagrad Light optimization algorithm.
benefits() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Gets benefits.
besselI0(Operand) - Method in class org.tensorflow.op.MathOps: The BesselI0 operation
BesselI0<T> - Class in org.tensorflow.op.math: The BesselI0 operation
BesselI0(Operation) - Constructor for class org.tensorflow.op.math.BesselI0
BesselI0.Inputs<T> - Class in org.tensorflow.op.math
besselI0e(Operand) - Method in class org.tensorflow.op.MathOps: The BesselI0e operation
BesselI0e<T> - Class in org.tensorflow.op.math: The BesselI0e operation
BesselI0e(Operation) - Constructor for class org.tensorflow.op.math.BesselI0e
BesselI0e.Inputs<T> - Class in org.tensorflow.op.math
besselI1(Operand) - Method in class org.tensorflow.op.MathOps: The BesselI1 operation
BesselI1<T> - Class in org.tensorflow.op.math: The BesselI1 operation
BesselI1(Operation) - Constructor for class org.tensorflow.op.math.BesselI1
BesselI1.Inputs<T> - Class in org.tensorflow.op.math
besselI1e(Operand) - Method in class org.tensorflow.op.MathOps: The BesselI1e operation
BesselI1e<T> - Class in org.tensorflow.op.math: The BesselI1e operation
BesselI1e(Operation) - Constructor for class org.tensorflow.op.math.BesselI1e
BesselI1e.Inputs<T> - Class in org.tensorflow.op.math
besselJ0(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The BesselJ0 operation
BesselJ0<T> - Class in org.tensorflow.op.math.special: The BesselJ0 operation
BesselJ0(Operation) - Constructor for class org.tensorflow.op.math.special.BesselJ0
BesselJ0.Inputs<T> - Class in org.tensorflow.op.math.special
besselJ1(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The BesselJ1 operation
BesselJ1<T> - Class in org.tensorflow.op.math.special: The BesselJ1 operation
BesselJ1(Operation) - Constructor for class org.tensorflow.op.math.special.BesselJ1
BesselJ1.Inputs<T> - Class in org.tensorflow.op.math.special
besselK0(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The BesselK0 operation
BesselK0<T> - Class in org.tensorflow.op.math.special: The BesselK0 operation
BesselK0(Operation) - Constructor for class org.tensorflow.op.math.special.BesselK0
BesselK0.Inputs<T> - Class in org.tensorflow.op.math.special
besselK0e(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The BesselK0e operation
BesselK0e<T> - Class in org.tensorflow.op.math.special: The BesselK0e operation
BesselK0e(Operation) - Constructor for class org.tensorflow.op.math.special.BesselK0e
BesselK0e.Inputs<T> - Class in org.tensorflow.op.math.special
besselK1(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The BesselK1 operation
BesselK1<T> - Class in org.tensorflow.op.math.special: The BesselK1 operation
BesselK1(Operation) - Constructor for class org.tensorflow.op.math.special.BesselK1
BesselK1.Inputs<T> - Class in org.tensorflow.op.math.special
besselK1e(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The BesselK1e operation
BesselK1e<T> - Class in org.tensorflow.op.math.special: The BesselK1e operation
BesselK1e(Operation) - Constructor for class org.tensorflow.op.math.special.BesselK1e
BesselK1e.Inputs<T> - Class in org.tensorflow.op.math.special
besselY0(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The BesselY0 operation
BesselY0<T> - Class in org.tensorflow.op.math.special: The BesselY0 operation
BesselY0(Operation) - Constructor for class org.tensorflow.op.math.special.BesselY0
BesselY0.Inputs<T> - Class in org.tensorflow.op.math.special
besselY1(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The BesselY1 operation
BesselY1<T> - Class in org.tensorflow.op.math.special: The BesselY1 operation
BesselY1(Operation) - Constructor for class org.tensorflow.op.math.special.BesselY1
BesselY1.Inputs<T> - Class in org.tensorflow.op.math.special
beta - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: A constant scalar.
beta - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 1D beta Tensor with size matching the last dimension of t.
beta - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: An exponent.
beta - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: An exponent.
beta - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 1D beta Tensor with size matching the last dimension of t.
beta - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Must be a scalar.
beta - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Must be a scalar.
beta - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Must be a scalar.
beta - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Must be a scalar.
beta - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The beta input
beta - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The beta attribute
beta - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The beta attribute
beta(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Sets the beta option.
beta(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options: Sets the beta option.
beta(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Sets the beta option.
beta(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options: Sets the beta option.
BETA_ONE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Adam
BETA_ONE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Adamax
BETA_ONE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Nadam
BETA_TWO_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Adam
BETA_TWO_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Adamax
BETA_TWO_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Nadam
beta1 - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The beta1 input
beta1 - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The beta1 input
beta1 - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The beta1 attribute
beta1 - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The beta1 attribute
beta1 - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The beta1 attribute
beta1 - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The beta1 attribute
beta1Power - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Must be a scalar.
beta1Power - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Must be a scalar.
beta1Power - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Must be a scalar.
beta1Power - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Must be a scalar.
beta1Power - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Must be a scalar.
beta2 - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The beta2 attribute
beta2 - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The beta2 input
beta2 - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The beta2 attribute
beta2 - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The beta2 attribute
beta2 - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The beta2 attribute
beta2 - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The beta2 attribute
beta2Power - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Must be a scalar.
beta2Power - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Must be a scalar.
beta2Power - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Must be a scalar.
betainc(Operand, Operand, Operand) - Method in class org.tensorflow.op.MathOps: Compute the regularized incomplete beta integral \(I_x(a, b)\).
Betainc<T> - Class in org.tensorflow.op.math: Compute the regularized incomplete beta integral \(I_x(a, b)\).
Betainc(Operation) - Constructor for class org.tensorflow.op.math.Betainc
Betainc.Inputs<T> - Class in org.tensorflow.op.math
betaMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized offset.
betaMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized offset.
BfcMemoryMap - Class in org.tensorflow.proto
BfcMemoryMap - Class in org.tensorflow.proto.dummy
BfcMemoryMap.BinSummary - Class in org.tensorflow.proto: Protobuf type tensorflow.BinSummary
BfcMemoryMap.BinSummary.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.BinSummary
BfcMemoryMap.BinSummaryOrBuilder - Interface in org.tensorflow.proto
BfcMemoryMap.MemAllocatorStats - Class in org.tensorflow.proto: Some of the data from AllocatorStats
BfcMemoryMap.MemAllocatorStats.Builder - Class in org.tensorflow.proto: Some of the data from AllocatorStats
BfcMemoryMap.MemAllocatorStatsOrBuilder - Interface in org.tensorflow.proto
BfcMemoryMap.MemChunk - Class in org.tensorflow.proto: Protobuf type tensorflow.MemChunk
BfcMemoryMap.MemChunk.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.MemChunk
BfcMemoryMap.MemChunkOrBuilder - Interface in org.tensorflow.proto
BfcMemoryMap.MemoryDump - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryDump
BfcMemoryMap.MemoryDump.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryDump
BfcMemoryMap.MemoryDumpOrBuilder - Interface in org.tensorflow.proto
BfcMemoryMap.SnapShot - Class in org.tensorflow.proto: Protobuf type tensorflow.SnapShot
BfcMemoryMap.SnapShot.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.SnapShot
BfcMemoryMap.SnapShotOrBuilder - Interface in org.tensorflow.proto
bGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets bGrad.
bias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: A 1D bias tensor with size matching inner dimension of b (after being transposed if transposed_b is non-zero).
bias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: A 1D bias tensor with size matching with inner dimension of b (after being transposed if transposed_b is non-zero).
bias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: A 1D bias tensor with size matching with inner dimension of b (after being transposed if transposed_b is non-zero).
bias - Variable in class org.tensorflow.op.nn.BiasAdd.Inputs: 1-D with size the last dimension of value.
bias - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: An offset (usually positive to avoid dividing by 0).
bias - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: An offset (usually > 0 to avoid dividing by 0).
bias - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: A 1D bias Tensor with size matching the last dimension of 'input'.
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The original bias tensor.
bias - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The original bias tensor.
bias - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The original bias tensor.
bias - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The bias input
bias(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Sets the bias option.
bias(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options: Sets the bias option.
bias(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Sets the bias option.
bias(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options: Sets the bias option.
biasAdd(Operand, Operand, BiasAdd.Options...) - Method in class org.tensorflow.op.NnOps: Adds bias to value.
BiasAdd<T> - Class in org.tensorflow.op.nn: Adds bias to value.
BiasAdd(Operation) - Constructor for class org.tensorflow.op.nn.BiasAdd
BiasAdd.Inputs<T> - Class in org.tensorflow.op.nn
BiasAdd.Options - Class in org.tensorflow.op.nn: Optional attributes for BiasAdd
biasAddGrad(Operand, BiasAddGrad.Options...) - Method in class org.tensorflow.op.NnOps: The backward operation for "BiasAdd" on the "bias" tensor.
BiasAddGrad<T> - Class in org.tensorflow.op.nn: The backward operation for "BiasAdd" on the "bias" tensor.
BiasAddGrad(Operation) - Constructor for class org.tensorflow.op.nn.BiasAddGrad
BiasAddGrad.Inputs<T> - Class in org.tensorflow.op.nn
BiasAddGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for BiasAddGrad
biases - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The biases input
biases() - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Gets biases.
BIG - Enum constant in enum org.tensorflow.proto.BundleHeaderProto.Endianness: BIG = 1;
BIG_VALUE - Static variable in enum org.tensorflow.proto.BundleHeaderProto.Endianness: BIG = 1;
BIN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.BinSummary
BIN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemChunk
BIN_SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
BinaryAccuracy<T> - Class in org.tensorflow.framework.metrics: Metric that calculates how often predictions matches binary labels.
BinaryAccuracy(float, long, Class) - Constructor for class org.tensorflow.framework.metrics.BinaryAccuracy: Creates a BinaryAccuracy Metric using Class.getSimpleName() for the metric name
BinaryAccuracy(long, Class) - Constructor for class org.tensorflow.framework.metrics.BinaryAccuracy: Creates a BinaryAccuracy Metric using Class.getSimpleName() for the metric name and BinaryAccuracy.DEFAULT_THRESHOLD for the threshold value.
BinaryAccuracy(String, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.BinaryAccuracy: Creates a BinaryAccuracy Metric
binaryCrossentropy(Ops, Operand, Operand, boolean, float) - Static method in class org.tensorflow.framework.losses.Losses: Computes the binary crossentropy loss between labels and predictions.
BinaryCrossentropy - Class in org.tensorflow.framework.losses: Computes the cross-entropy loss between true labels and predicted labels.
BinaryCrossentropy<T> - Class in org.tensorflow.framework.metrics: A Metric that computes the binary cross-entropy loss between true labels and predicted labels.
BinaryCrossentropy() - Constructor for class org.tensorflow.framework.losses.BinaryCrossentropy: Creates a Binary Crossentropy AbstractLoss using Class.getSimpleName() as the loss name, BinaryCrossentropy.FROM_LOGITS_DEFAULT for fromLogits, BinaryCrossentropy.LABEL_SMOOTHING_DEFAULT for labelSmoothing and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
BinaryCrossentropy(boolean) - Constructor for class org.tensorflow.framework.losses.BinaryCrossentropy: Creates a Binary Crossentropy loss using using Class.getSimpleName() as the loss name, labelSmoothing of BinaryCrossentropy.LABEL_SMOOTHING_DEFAULT, a reduction of AbstractLoss.REDUCTION_DEFAULT,
BinaryCrossentropy(boolean, float) - Constructor for class org.tensorflow.framework.losses.BinaryCrossentropy: Creates a Binary Crossentropy loss using using Class.getSimpleName() as the loss name, and a reduction of AbstractLoss.REDUCTION_DEFAULT.
BinaryCrossentropy(boolean, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.BinaryCrossentropy: Creates a BinaryCrossentropy metric where name is Class.getSimpleName().
BinaryCrossentropy(boolean, float, Reduction) - Constructor for class org.tensorflow.framework.losses.BinaryCrossentropy: Creates a Binary Crossentropy loss
BinaryCrossentropy(String, boolean) - Constructor for class org.tensorflow.framework.losses.BinaryCrossentropy: Creates a Binary Crossentropy loss using labelSmoothing of BinaryCrossentropy.LABEL_SMOOTHING_DEFAULT a reduction of AbstractLoss.REDUCTION_DEFAULT.
BinaryCrossentropy(String, boolean, float) - Constructor for class org.tensorflow.framework.losses.BinaryCrossentropy: Creates a Binary Crossentropy loss using a reduction of AbstractLoss.REDUCTION_DEFAULT.
BinaryCrossentropy(String, boolean, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.BinaryCrossentropy: Creates a BinaryCrossentropy metric
BinaryCrossentropy(String, boolean, float, Reduction) - Constructor for class org.tensorflow.framework.losses.BinaryCrossentropy: Creates a Binary Crossentropy loss
BinaryCrossentropy(Reduction) - Constructor for class org.tensorflow.framework.losses.BinaryCrossentropy: Creates a Binary Crossentropy loss using Class.getSimpleName() as the loss name, BinaryCrossentropy.FROM_LOGITS_DEFAULT for fromLogits, and BinaryCrossentropy.LABEL_SMOOTHING_DEFAULT for labelSmoothing
binaryExamples() - Method in class org.tensorflow.op.io.DecodeJsonExample: Gets binaryExamples.
binaryOutput - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: bool; Whether the kernel should count the appearance or number of occurrences.
binaryOutput - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: bool; Whether the kernel should count the appearance or number of occurrences.
binaryOutput - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Whether to output the number of occurrences of each value or 1.
binaryOutput - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Whether to output the number of occurrences of each value or 1.
binaryOutput - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: bool; Whether the kernel should count the appearance or number of occurrences.
binaryOutput - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Whether to output the number of occurrences of each value or 1.
binaryOutput(Boolean) - Static method in class org.tensorflow.op.math.DenseBincount: Sets the binaryOutput option.
binaryOutput(Boolean) - Method in class org.tensorflow.op.math.DenseBincount.Options: Sets the binaryOutput option.
binaryOutput(Boolean) - Static method in class org.tensorflow.op.ragged.RaggedBincount: Sets the binaryOutput option.
binaryOutput(Boolean) - Method in class org.tensorflow.op.ragged.RaggedBincount.Options: Sets the binaryOutput option.
binaryOutput(Boolean) - Static method in class org.tensorflow.op.sparse.SparseBincount: Sets the binaryOutput option.
binaryOutput(Boolean) - Method in class org.tensorflow.op.sparse.SparseBincount.Options: Sets the binaryOutput option.
bincount(Operand, Operand, Operand) - Method in class org.tensorflow.op.MathOps: Counts the number of occurrences of each value in an integer array.
Bincount<T> - Class in org.tensorflow.op.math: Counts the number of occurrences of each value in an integer array.
Bincount(Operation) - Constructor for class org.tensorflow.op.math.Bincount
Bincount.Inputs<T> - Class in org.tensorflow.op.math
bIndices - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 2-D.
bIndices - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: 2-D.
bIndices - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: counterpart to a_indices for the other operand.
bIndices - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: counterpart to a_indices for the other operand.
bins() - Method in class org.tensorflow.op.math.Bincount: Gets bins. 1D Tensor with length equal to size.
bIsSparse - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The bIsSparse attribute
bIsSparse(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Sets the bIsSparse option.
bIsSparse(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options: Sets the bIsSparse option.
bitcast(Operand, Class) - Method in class org.tensorflow.op.Ops: Bitcasts a tensor from one type to another without copying data.
Bitcast - Class in org.tensorflow.op.core: Bitcasts a tensor from one type to another without copying data.
Bitcast(Operation) - Constructor for class org.tensorflow.op.core.Bitcast
Bitcast.Inputs - Class in org.tensorflow.op.core
BITS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.PlatformInfo
bitwise - Variable in class org.tensorflow.op.Ops
bitwiseAnd(Operand, Operand) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise AND of x and y.
BitwiseAnd<T> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise AND of x and y.
BitwiseAnd(Operation) - Constructor for class org.tensorflow.op.bitwise.BitwiseAnd
BitwiseAnd.Inputs<T> - Class in org.tensorflow.op.bitwise
BitwiseOps - Class in org.tensorflow.op: An API for building bitwise operations as Ops
bitwiseOr(Operand, Operand) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise OR of x and y.
BitwiseOr<T> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise OR of x and y.
BitwiseOr(Operation) - Constructor for class org.tensorflow.op.bitwise.BitwiseOr
BitwiseOr.Inputs<T> - Class in org.tensorflow.op.bitwise
bitwiseXor(Operand, Operand) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise XOR of x and y.
BitwiseXor<T> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise XOR of x and y.
BitwiseXor(Operation) - Constructor for class org.tensorflow.op.bitwise.BitwiseXor
BitwiseXor.Inputs<T> - Class in org.tensorflow.op.bitwise
blankIndex - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: The blankIndex attribute
blankIndex(Long) - Static method in class org.tensorflow.op.nn.CtcGreedyDecoder: Sets the blankIndex option.
blankIndex(Long) - Method in class org.tensorflow.op.nn.CtcGreedyDecoder.Options: Sets the blankIndex option.
blockLength - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The blockLength input
blockLength - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The blockLength input
blockLength - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The blockLength input
blockLength - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Number of elements at a time to produce from each interleaved invocation of a dataset returned by f.
blockLSTM(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, BlockLSTM.Options...) - Method in class org.tensorflow.op.NnOps: Computes the LSTM cell forward propagation for all the time steps.
BlockLSTM<T> - Class in org.tensorflow.op.nn: Computes the LSTM cell forward propagation for all the time steps.
BlockLSTM(Operation) - Constructor for class org.tensorflow.op.nn.BlockLSTM
BlockLSTM.Inputs<T> - Class in org.tensorflow.op.nn
BlockLSTM.Options - Class in org.tensorflow.op.nn: Optional attributes for BlockLSTM
blockLSTMGrad(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean) - Method in class org.tensorflow.op.NnOps: Computes the LSTM cell backward propagation for the entire time sequence.
BlockLSTMGrad<T> - Class in org.tensorflow.op.nn: Computes the LSTM cell backward propagation for the entire time sequence.
BlockLSTMGrad(Operation) - Constructor for class org.tensorflow.op.nn.BlockLSTMGrad
BlockLSTMGrad.Inputs<T> - Class in org.tensorflow.op.nn
blockShape - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: 1-D with shape [M], all values must be >= 1.
blockShape - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: 1-D with shape [M], all values must be >= 1.
blockSize - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: The blockSize attribute
blockSize - Variable in class org.tensorflow.op.nn.DepthToSpace.Inputs: The size of the spatial block, same as in Space2Depth.
blockSize - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: The blockSize attribute
blockSize - Variable in class org.tensorflow.op.nn.SpaceToDepth.Inputs: The size of the spatial block.
body_graph() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
body_inputs() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
body_outputs() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
BOOL_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
BOOL_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
BOOL_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
booleanMask(Operand, Operand, BooleanMask.Options...) - Method in class org.tensorflow.op.Ops: Apply boolean mask to tensor.
BooleanMask - Class in org.tensorflow.op.core
BooleanMask() - Constructor for class org.tensorflow.op.core.BooleanMask
BooleanMask.Options - Class in org.tensorflow.op.core: Optional attributes for BooleanMask
booleanMaskUpdate(Operand, Operand, Operand, BooleanMaskUpdate.Options...) - Method in class org.tensorflow.op.Ops: Updates a tensor at the masked values, and returns the updated tensor.
BooleanMaskUpdate - Class in org.tensorflow.op.core
BooleanMaskUpdate() - Constructor for class org.tensorflow.op.core.BooleanMaskUpdate
BooleanMaskUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for BooleanMaskUpdate
BOUND_INPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
boundaries - Variable in class org.tensorflow.op.core.Bucketize.Inputs: A sorted list of floats gives the boundary of the buckets.
BOUNDED_TENSOR_SPEC_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
BOUNDED_TENSOR_SPEC_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
boundingBoxes - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: 3-D with shape [batch, N, 4] describing the N bounding boxes associated with the image.
boundingBoxes - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: 3-D with shape [batch, N, 4] describing the N bounding boxes associated with the image.
boxes - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A 4-D float tensor of shape [batch_size, num_boxes, q, 4].
boxes - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A 2-D tensor of shape [num_boxes, 4].
boxes - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A 2-D tensor of shape [num_boxes, 4].
boxes - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A 2-D tensor of shape [num_boxes, 4].
boxes - Variable in class org.tensorflow.op.image.DrawBoundingBoxes.Inputs: 3-D with shape [batch, num_bounding_boxes, 4] containing bounding boxes.
boxes - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 2-D float tensor of shape [num_boxes, 4].
boxInd - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A 1-D tensor of shape [num_boxes] with int32 values in [0, batch).
boxInd - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A 1-D tensor of shape [num_boxes] with int32 values in [0, batch).
boxInd - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A 1-D tensor of shape [num_boxes] with int32 values in [0, batch).
BRANCH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CondContextDef
branchIndex - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: The branch selector, an int32 Tensor.
branchIndex - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: The branch selector, an int32 Tensor.
broadcast(Boolean) - Static method in class org.tensorflow.op.core.BooleanMaskUpdate: Whether to try broadcasting update.
broadcast(Boolean) - Method in class org.tensorflow.op.core.BooleanMaskUpdate.Options
broadcastDynamicShape(Operand, Operand) - Method in class org.tensorflow.op.Ops: Return the shape of s0 op s1 with broadcast.
BroadcastDynamicShape<T> - Class in org.tensorflow.op.core: Return the shape of s0 op s1 with broadcast.
BroadcastDynamicShape(Operation) - Constructor for class org.tensorflow.op.core.BroadcastDynamicShape
BroadcastDynamicShape.Inputs<T> - Class in org.tensorflow.op.core
broadcastGradientArgs(Operand, Operand) - Method in class org.tensorflow.op.Ops: Return the reduction indices for computing gradients of s0 op s1 with broadcast.
BroadcastGradientArgs<T> - Class in org.tensorflow.op.core: Return the reduction indices for computing gradients of s0 op s1 with broadcast.
BroadcastGradientArgs(Operation) - Constructor for class org.tensorflow.op.core.BroadcastGradientArgs
BroadcastGradientArgs.Inputs<T> - Class in org.tensorflow.op.core
broadcastTo(Operand, Operand) - Method in class org.tensorflow.op.Ops: Broadcast an array for a compatible shape.
BroadcastTo<T> - Class in org.tensorflow.op.core: Broadcast an array for a compatible shape.
BroadcastTo(Operation) - Constructor for class org.tensorflow.op.core.BroadcastTo
BroadcastTo.Inputs<T> - Class in org.tensorflow.op.core
bRu - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The bRu input
bRu - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The bRu input
bShape - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 1-D.
bShape - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: counterpart to a_shape for the other operand; the two shapes must be equal.
bShape - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: counterpart to a_shape for the other operand; the two shapes must be equal.
BUCKET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.HistogramProto
BUCKET_LIMIT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.HistogramProto
bucketize(Operand, List) - Method in class org.tensorflow.op.Ops: Bucketizes 'input' based on 'boundaries'.
Bucketize - Class in org.tensorflow.op.core: Bucketizes 'input' based on 'boundaries'.
Bucketize(Operation) - Constructor for class org.tensorflow.op.core.Bucketize
Bucketize.Inputs - Class in org.tensorflow.op.core
BUFFERED_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
BUFFERED_ELEMENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
bufferOutputElements - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The bufferOutputElements input
bufferOutputElements - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The bufferOutputElements input
bufferOutputElements - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: The number of elements each iterator being interleaved should buffer (similar to the .prefetch() transformation for each interleaved iterator).
bufferSize - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The maximum number of elements to buffer in an iterator over this dataset.
bufferSize - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.TextLineDataset.Inputs: A scalar containing the number of bytes to buffer.
bufferSize - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: A scalar representing the number of bytes to buffer.
bufferSizeMin - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The bufferSizeMin attribute
bufferSizeMin(Long) - Static method in class org.tensorflow.op.data.PrefetchDataset: Sets the bufferSizeMin option.
bufferSizeMin(Long) - Method in class org.tensorflow.op.data.PrefetchDataset.Options: Sets the bufferSizeMin option.
build() - Method in class org.tensorflow.DeviceSpec.Builder
build() - Method in class org.tensorflow.EagerSession.Options: Builds an eager session with the selected options.
build() - Method in class org.tensorflow.GraphOperationBuilder: Add the GraphOperation being built to the Graph.
build() - Method in interface org.tensorflow.OperationBuilder: Build the Operation.
build() - Method in class org.tensorflow.proto.AllocationDescription.Builder
build() - Method in class org.tensorflow.proto.AllocationRecord.Builder
build() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
build() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
build() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
build() - Method in class org.tensorflow.proto.ApiDef.Builder
build() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
build() - Method in class org.tensorflow.proto.ApiDefs.Builder
build() - Method in class org.tensorflow.proto.AssetFileDef.Builder
build() - Method in class org.tensorflow.proto.AttrValue.Builder
build() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
build() - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
build() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
build() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
build() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
build() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
build() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
build() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
build() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
build() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
build() - Method in class org.tensorflow.proto.BuildConfiguration.Builder
build() - Method in class org.tensorflow.proto.BundleEntryProto.Builder
build() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
build() - Method in class org.tensorflow.proto.BytesList.Builder
build() - Method in class org.tensorflow.proto.CallableOptions.Builder
build() - Method in class org.tensorflow.proto.ClusterDef.Builder
build() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
build() - Method in class org.tensorflow.proto.CodeLocation.Builder
build() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
build() - Method in class org.tensorflow.proto.CollectionDef.Builder
build() - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
build() - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
build() - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
build() - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
build() - Method in class org.tensorflow.proto.CommitId.Builder
build() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
build() - Method in class org.tensorflow.proto.CondContextDef.Builder
build() - Method in class org.tensorflow.proto.ConfigProto.Builder
build() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
build() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
build() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
build() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
build() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
build() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
build() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
build() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
build() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
build() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
build() - Method in class org.tensorflow.proto.CostGraphDef.Builder
build() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
build() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
build() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
build() - Method in class org.tensorflow.proto.CPUInfo.Builder
build() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
build() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
build() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
build() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
build() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
build() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
build() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
build() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
build() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
build() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
build() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
build() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
build() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
build() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
build() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
build() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
build() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
build() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
build() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
build() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
build() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
build() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
build() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
build() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
build() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
build() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
build() - Method in class org.tensorflow.proto.DebugEvent.Builder
build() - Method in class org.tensorflow.proto.DebuggedDevice.Builder
build() - Method in class org.tensorflow.proto.DebuggedGraph.Builder
build() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
build() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
build() - Method in class org.tensorflow.proto.DebugMetadata.Builder
build() - Method in class org.tensorflow.proto.DebugOptions.Builder
build() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
build() - Method in class org.tensorflow.proto.DeviceAttributes.Builder
build() - Method in class org.tensorflow.proto.DeviceLocality.Builder
build() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
build() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
build() - Method in class org.tensorflow.proto.DeviceStepStats.Builder
build() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
build() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
build() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
build() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
build() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
build() - Method in class org.tensorflow.proto.EntryValue.Builder
build() - Method in class org.tensorflow.proto.Event.Builder
build() - Method in class org.tensorflow.proto.Example.Builder
build() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
build() - Method in class org.tensorflow.proto.Execution.Builder
build() - Method in class org.tensorflow.proto.Feature.Builder
build() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
build() - Method in class org.tensorflow.proto.FeatureList.Builder
build() - Method in class org.tensorflow.proto.FeatureLists.Builder
build() - Method in class org.tensorflow.proto.Features.Builder
build() - Method in class org.tensorflow.proto.FingerprintDef.Builder
build() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
build() - Method in class org.tensorflow.proto.FloatList.Builder
build() - Method in class org.tensorflow.proto.FullTypeDef.Builder
build() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
build() - Method in class org.tensorflow.proto.FunctionDef.Builder
build() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
build() - Method in class org.tensorflow.proto.GPUInfo.Builder
build() - Method in class org.tensorflow.proto.GPUOptions.Builder
build() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
build() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
build() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
build() - Method in class org.tensorflow.proto.GradientDef.Builder
build() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
build() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
build() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
build() - Method in class org.tensorflow.proto.GraphDef.Builder
build() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
build() - Method in class org.tensorflow.proto.GraphOpCreation.Builder
build() - Method in class org.tensorflow.proto.GraphOptions.Builder
build() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
build() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
build() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
build() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
build() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
build() - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
build() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
build() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
build() - Method in class org.tensorflow.proto.HistogramProto.Builder
build() - Method in class org.tensorflow.proto.Int64List.Builder
build() - Method in class org.tensorflow.proto.InterconnectLink.Builder
build() - Method in class org.tensorflow.proto.JobDef.Builder
build() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
build() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
build() - Method in class org.tensorflow.proto.KernelDef.Builder
build() - Method in class org.tensorflow.proto.KernelList.Builder
build() - Method in class org.tensorflow.proto.LocalLinks.Builder
build() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
build() - Method in class org.tensorflow.proto.MachineConfiguration.Builder
build() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
build() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
build() - Method in class org.tensorflow.proto.MemoryInfo.Builder
build() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
build() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
build() - Method in class org.tensorflow.proto.MemoryLogStep.Builder
build() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
build() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
build() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
build() - Method in class org.tensorflow.proto.MemoryStats.Builder
build() - Method in class org.tensorflow.proto.MetaGraphDef.Builder
build() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
build() - Method in class org.tensorflow.proto.MetricEntry.Builder
build() - Method in class org.tensorflow.proto.NameAttrList.Builder
build() - Method in class org.tensorflow.proto.NamedTensorProto.Builder
build() - Method in class org.tensorflow.proto.NodeDef.Builder
build() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
build() - Method in class org.tensorflow.proto.NodeExecStats.Builder
build() - Method in class org.tensorflow.proto.NodeOutput.Builder
build() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
build() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
build() - Method in class org.tensorflow.proto.OpDef.Builder
build() - Method in class org.tensorflow.proto.OpDeprecation.Builder
build() - Method in class org.tensorflow.proto.OpList.Builder
build() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
build() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
build() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
build() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
build() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
build() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
build() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
build() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
build() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
build() - Method in class org.tensorflow.proto.OptimizerOptions.Builder
build() - Method in class org.tensorflow.proto.PlatformInfo.Builder
build() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
build() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
build() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
build() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
build() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
build() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
build() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
build() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
build() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
build() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
build() - Method in class org.tensorflow.proto.ReaderBaseState.Builder
build() - Method in class org.tensorflow.proto.RegisteredGradient.Builder
build() - Method in class org.tensorflow.proto.RequestedExitCode.Builder
build() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
build() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
build() - Method in class org.tensorflow.proto.RewriterConfig.Builder
build() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
build() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
build() - Method in class org.tensorflow.proto.RunConfiguration.Builder
build() - Method in class org.tensorflow.proto.RunMetadata.Builder
build() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
build() - Method in class org.tensorflow.proto.RunOptions.Builder
build() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
build() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
build() - Method in class org.tensorflow.proto.SavedModel.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
build() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
build() - Method in class org.tensorflow.proto.SavedSlice.Builder
build() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
build() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
build() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
build() - Method in class org.tensorflow.proto.SaverDef.Builder
build() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
build() - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
build() - Method in class org.tensorflow.proto.SequenceExample.Builder
build() - Method in class org.tensorflow.proto.SerializedDType.Builder
build() - Method in class org.tensorflow.proto.ServerDef.Builder
build() - Method in class org.tensorflow.proto.SessionLog.Builder
build() - Method in class org.tensorflow.proto.SessionMetadata.Builder
build() - Method in class org.tensorflow.proto.SignatureDef.Builder
build() - Method in class org.tensorflow.proto.SourceFile.Builder
build() - Method in class org.tensorflow.proto.SourceMetadata.Builder
build() - Method in class org.tensorflow.proto.StackFrameWithId.Builder
build() - Method in class org.tensorflow.proto.StatusProto.Builder
build() - Method in class org.tensorflow.proto.StepStats.Builder
build() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
build() - Method in class org.tensorflow.proto.Struct.DictValue.Builder
build() - Method in class org.tensorflow.proto.Struct.ListValue.Builder
build() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
build() - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
build() - Method in class org.tensorflow.proto.Struct.PairValue.Builder
build() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
build() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
build() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
build() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
build() - Method in class org.tensorflow.proto.Summary.Audio.Builder
build() - Method in class org.tensorflow.proto.Summary.Builder
build() - Method in class org.tensorflow.proto.Summary.Image.Builder
build() - Method in class org.tensorflow.proto.Summary.Value.Builder
build() - Method in class org.tensorflow.proto.SummaryDescription.Builder
build() - Method in class org.tensorflow.proto.SummaryMetadata.Builder
build() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
build() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
build() - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
build() - Method in class org.tensorflow.proto.TensorConnection.Builder
build() - Method in class org.tensorflow.proto.TensorDescription.Builder
build() - Method in class org.tensorflow.proto.TensorInfo.Builder
build() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
build() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
build() - Method in class org.tensorflow.proto.TensorProto.Builder
build() - Method in class org.tensorflow.proto.TensorShapeProto.Builder
build() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
build() - Method in class org.tensorflow.proto.TensorSliceProto.Builder
build() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
build() - Method in class org.tensorflow.proto.TestResults.Builder
build() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
build() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
build() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
build() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
build() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
build() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
build() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
build() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
build() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
build() - Method in class org.tensorflow.proto.ValuesDef.Builder
build() - Method in class org.tensorflow.proto.VariableDef.Builder
build() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
build() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
build() - Method in class org.tensorflow.proto.VerifierConfig.Builder
build() - Method in class org.tensorflow.proto.VersionDef.Builder
build() - Method in class org.tensorflow.proto.WatchdogConfig.Builder
build() - Method in class org.tensorflow.proto.WhileContextDef.Builder
build() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
build() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
build() - Method in class org.tensorflow.Signature.Builder: Returns a signature from the provided data.
BUILD_CONFIGURATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TestResults
BUILD_COST_MODEL_AFTER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOptions
BUILD_COST_MODEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOptions
BuildConfiguration - Class in org.tensorflow.proto: Protobuf type tensorflow.BuildConfiguration
BuildConfiguration.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.BuildConfiguration
BuildConfigurationOrBuilder - Interface in org.tensorflow.proto
builder() - Static method in class org.tensorflow.Signature: Returns a new builder for creating a signature
builder(String) - Static method in class org.tensorflow.Signature: Returns a new builder for creating a signature, with the methodName and key set to name
Builder() - Constructor for class org.tensorflow.Signature.Builder
buildPartial() - Method in class org.tensorflow.proto.AllocationDescription.Builder
buildPartial() - Method in class org.tensorflow.proto.AllocationRecord.Builder
buildPartial() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
buildPartial() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
buildPartial() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
buildPartial() - Method in class org.tensorflow.proto.ApiDef.Builder
buildPartial() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
buildPartial() - Method in class org.tensorflow.proto.ApiDefs.Builder
buildPartial() - Method in class org.tensorflow.proto.AssetFileDef.Builder
buildPartial() - Method in class org.tensorflow.proto.AttrValue.Builder
buildPartial() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
buildPartial() - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
buildPartial() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
buildPartial() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
buildPartial() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
buildPartial() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
buildPartial() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
buildPartial() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
buildPartial() - Method in class org.tensorflow.proto.BuildConfiguration.Builder
buildPartial() - Method in class org.tensorflow.proto.BundleEntryProto.Builder
buildPartial() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
buildPartial() - Method in class org.tensorflow.proto.BytesList.Builder
buildPartial() - Method in class org.tensorflow.proto.CallableOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.ClusterDef.Builder
buildPartial() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
buildPartial() - Method in class org.tensorflow.proto.CodeLocation.Builder
buildPartial() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
buildPartial() - Method in class org.tensorflow.proto.CollectionDef.Builder
buildPartial() - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
buildPartial() - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
buildPartial() - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
buildPartial() - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
buildPartial() - Method in class org.tensorflow.proto.CommitId.Builder
buildPartial() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.CondContextDef.Builder
buildPartial() - Method in class org.tensorflow.proto.ConfigProto.Builder
buildPartial() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
buildPartial() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
buildPartial() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
buildPartial() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
buildPartial() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
buildPartial() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
buildPartial() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
buildPartial() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
buildPartial() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
buildPartial() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
buildPartial() - Method in class org.tensorflow.proto.CostGraphDef.Builder
buildPartial() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
buildPartial() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.CPUInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
buildPartial() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
buildPartial() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
buildPartial() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
buildPartial() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
buildPartial() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
buildPartial() - Method in class org.tensorflow.proto.DebugEvent.Builder
buildPartial() - Method in class org.tensorflow.proto.DebuggedDevice.Builder
buildPartial() - Method in class org.tensorflow.proto.DebuggedGraph.Builder
buildPartial() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
buildPartial() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
buildPartial() - Method in class org.tensorflow.proto.DebugMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.DebugOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
buildPartial() - Method in class org.tensorflow.proto.DeviceAttributes.Builder
buildPartial() - Method in class org.tensorflow.proto.DeviceLocality.Builder
buildPartial() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
buildPartial() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
buildPartial() - Method in class org.tensorflow.proto.DeviceStepStats.Builder
buildPartial() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
buildPartial() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
buildPartial() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
buildPartial() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
buildPartial() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
buildPartial() - Method in class org.tensorflow.proto.EntryValue.Builder
buildPartial() - Method in class org.tensorflow.proto.Event.Builder
buildPartial() - Method in class org.tensorflow.proto.Example.Builder
buildPartial() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
buildPartial() - Method in class org.tensorflow.proto.Execution.Builder
buildPartial() - Method in class org.tensorflow.proto.Feature.Builder
buildPartial() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
buildPartial() - Method in class org.tensorflow.proto.FeatureList.Builder
buildPartial() - Method in class org.tensorflow.proto.FeatureLists.Builder
buildPartial() - Method in class org.tensorflow.proto.Features.Builder
buildPartial() - Method in class org.tensorflow.proto.FingerprintDef.Builder
buildPartial() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
buildPartial() - Method in class org.tensorflow.proto.FloatList.Builder
buildPartial() - Method in class org.tensorflow.proto.FullTypeDef.Builder
buildPartial() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
buildPartial() - Method in class org.tensorflow.proto.FunctionDef.Builder
buildPartial() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
buildPartial() - Method in class org.tensorflow.proto.GPUInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.GPUOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
buildPartial() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
buildPartial() - Method in class org.tensorflow.proto.GradientDef.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphDef.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphOpCreation.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.HistogramProto.Builder
buildPartial() - Method in class org.tensorflow.proto.Int64List.Builder
buildPartial() - Method in class org.tensorflow.proto.InterconnectLink.Builder
buildPartial() - Method in class org.tensorflow.proto.JobDef.Builder
buildPartial() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
buildPartial() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
buildPartial() - Method in class org.tensorflow.proto.KernelDef.Builder
buildPartial() - Method in class org.tensorflow.proto.KernelList.Builder
buildPartial() - Method in class org.tensorflow.proto.LocalLinks.Builder
buildPartial() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
buildPartial() - Method in class org.tensorflow.proto.MachineConfiguration.Builder
buildPartial() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
buildPartial() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
buildPartial() - Method in class org.tensorflow.proto.MemoryInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
buildPartial() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
buildPartial() - Method in class org.tensorflow.proto.MemoryLogStep.Builder
buildPartial() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
buildPartial() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
buildPartial() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
buildPartial() - Method in class org.tensorflow.proto.MemoryStats.Builder
buildPartial() - Method in class org.tensorflow.proto.MetaGraphDef.Builder
buildPartial() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
buildPartial() - Method in class org.tensorflow.proto.MetricEntry.Builder
buildPartial() - Method in class org.tensorflow.proto.NameAttrList.Builder
buildPartial() - Method in class org.tensorflow.proto.NamedTensorProto.Builder
buildPartial() - Method in class org.tensorflow.proto.NodeDef.Builder
buildPartial() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.NodeExecStats.Builder
buildPartial() - Method in class org.tensorflow.proto.NodeOutput.Builder
buildPartial() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
buildPartial() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
buildPartial() - Method in class org.tensorflow.proto.OpDef.Builder
buildPartial() - Method in class org.tensorflow.proto.OpDeprecation.Builder
buildPartial() - Method in class org.tensorflow.proto.OpList.Builder
buildPartial() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
buildPartial() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
buildPartial() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
buildPartial() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
buildPartial() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
buildPartial() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
buildPartial() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
buildPartial() - Method in class org.tensorflow.proto.OptimizerOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.PlatformInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
buildPartial() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
buildPartial() - Method in class org.tensorflow.proto.ReaderBaseState.Builder
buildPartial() - Method in class org.tensorflow.proto.RegisteredGradient.Builder
buildPartial() - Method in class org.tensorflow.proto.RequestedExitCode.Builder
buildPartial() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
buildPartial() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
buildPartial() - Method in class org.tensorflow.proto.RewriterConfig.Builder
buildPartial() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
buildPartial() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.RunConfiguration.Builder
buildPartial() - Method in class org.tensorflow.proto.RunMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
buildPartial() - Method in class org.tensorflow.proto.RunOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
buildPartial() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedModel.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedSlice.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
buildPartial() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
buildPartial() - Method in class org.tensorflow.proto.SaverDef.Builder
buildPartial() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
buildPartial() - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
buildPartial() - Method in class org.tensorflow.proto.SequenceExample.Builder
buildPartial() - Method in class org.tensorflow.proto.SerializedDType.Builder
buildPartial() - Method in class org.tensorflow.proto.ServerDef.Builder
buildPartial() - Method in class org.tensorflow.proto.SessionLog.Builder
buildPartial() - Method in class org.tensorflow.proto.SessionMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.SignatureDef.Builder
buildPartial() - Method in class org.tensorflow.proto.SourceFile.Builder
buildPartial() - Method in class org.tensorflow.proto.SourceMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.StackFrameWithId.Builder
buildPartial() - Method in class org.tensorflow.proto.StatusProto.Builder
buildPartial() - Method in class org.tensorflow.proto.StepStats.Builder
buildPartial() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
buildPartial() - Method in class org.tensorflow.proto.Struct.DictValue.Builder
buildPartial() - Method in class org.tensorflow.proto.Struct.ListValue.Builder
buildPartial() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
buildPartial() - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
buildPartial() - Method in class org.tensorflow.proto.Struct.PairValue.Builder
buildPartial() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
buildPartial() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
buildPartial() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
buildPartial() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
buildPartial() - Method in class org.tensorflow.proto.Summary.Audio.Builder
buildPartial() - Method in class org.tensorflow.proto.Summary.Builder
buildPartial() - Method in class org.tensorflow.proto.Summary.Image.Builder
buildPartial() - Method in class org.tensorflow.proto.Summary.Value.Builder
buildPartial() - Method in class org.tensorflow.proto.SummaryDescription.Builder
buildPartial() - Method in class org.tensorflow.proto.SummaryMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
buildPartial() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
buildPartial() - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
buildPartial() - Method in class org.tensorflow.proto.TensorConnection.Builder
buildPartial() - Method in class org.tensorflow.proto.TensorDescription.Builder
buildPartial() - Method in class org.tensorflow.proto.TensorInfo.Builder
buildPartial() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
buildPartial() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
buildPartial() - Method in class org.tensorflow.proto.TensorProto.Builder
buildPartial() - Method in class org.tensorflow.proto.TensorShapeProto.Builder
buildPartial() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
buildPartial() - Method in class org.tensorflow.proto.TensorSliceProto.Builder
buildPartial() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
buildPartial() - Method in class org.tensorflow.proto.TestResults.Builder
buildPartial() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
buildPartial() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
buildPartial() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
buildPartial() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
buildPartial() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
buildPartial() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
buildPartial() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
buildPartial() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
buildPartial() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
buildPartial() - Method in class org.tensorflow.proto.ValuesDef.Builder
buildPartial() - Method in class org.tensorflow.proto.VariableDef.Builder
buildPartial() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
buildPartial() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
buildPartial() - Method in class org.tensorflow.proto.VerifierConfig.Builder
buildPartial() - Method in class org.tensorflow.proto.VersionDef.Builder
buildPartial() - Method in class org.tensorflow.proto.WatchdogConfig.Builder
buildPartial() - Method in class org.tensorflow.proto.WhileContextDef.Builder
buildPartial() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
buildPartial() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
buildSubgraph(Graph, Output[], Output[]) - Method in interface org.tensorflow.Graph.WhileSubgraphBuilder: To be overridden by user with code to build conditional or body subgraph for a while loop
BundleEntryProto - Class in org.tensorflow.proto: Describes the metadata related to a checkpointed tensor.
BundleEntryProto.Builder - Class in org.tensorflow.proto: Describes the metadata related to a checkpointed tensor.
BundleEntryProtoOrBuilder - Interface in org.tensorflow.proto
BundleHeaderProto - Class in org.tensorflow.proto: Special header that is associated with a bundle.
BundleHeaderProto.Builder - Class in org.tensorflow.proto: Special header that is associated with a bundle.
BundleHeaderProto.Endianness - Enum in org.tensorflow.proto: An enum indicating the endianness of the platform that produced this bundle.
BundleHeaderProtoOrBuilder - Interface in org.tensorflow.proto
BUS_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceLocality
BUS_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUInfo
bValGrad() - Method in class org.tensorflow.op.sparse.SparseAddGrad: Gets bValGrad. 1-D with shape [nnz(B)].
bValues - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 1-D.
bValues - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: counterpart to a_values for the other operand; must be of the same dtype.
bValues - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: counterpart to a_values for the other operand; must be of the same dtype.
byteOffsets - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: A scalar or vector containing the number of bytes for each file that will be skipped prior to reading.
bytes - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Tensor of serialized protos with shape batch_shape.
bytes - Variable in class org.tensorflow.op.io.DecodeCompressed.Inputs: A Tensor of string which is compressed.
bytes - Variable in class org.tensorflow.op.io.DecodeRaw.Inputs: All the elements must have the same length.
bytes() - Method in class org.tensorflow.op.core.EncodeProto: Gets bytes.
BYTES_CONSUMED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedSourceFile
BYTES_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
BYTES_LIST - Enum constant in enum org.tensorflow.proto.CollectionDef.KindCase
BYTES_LIST - Enum constant in enum org.tensorflow.proto.Feature.KindCase
BYTES_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CollectionDef
BYTES_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Feature
BYTES_PRODUCED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
BYTES_VALUE - Enum constant in enum org.tensorflow.proto.profiler.Xplane.XStat.ValueCase
BYTES_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XStat
byteSize() - Element in annotation type org.tensorflow.types.annotation.TensorType: The number of bytes required one element of a tensor of type, -1 for variable-length element tensors
BytesList - Class in org.tensorflow.proto: LINT.IfChange Containers to hold repeated fundamental values.
BytesList.Builder - Class in org.tensorflow.proto: LINT.IfChange Containers to hold repeated fundamental values.
BytesListOrBuilder - Interface in org.tensorflow.proto
bytesProducedStatsDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Records the bytes size of each element of input_dataset in a StatsAggregator.
bytesProducedStatsDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: Records the bytes size of each element of input_dataset in a StatsAggregator.
BytesProducedStatsDataset - Class in org.tensorflow.op.data: Records the bytes size of each element of input_dataset in a StatsAggregator.
BytesProducedStatsDataset - Class in org.tensorflow.op.data.experimental: Records the bytes size of each element of input_dataset in a StatsAggregator.
BytesProducedStatsDataset(Operation) - Constructor for class org.tensorflow.op.data.BytesProducedStatsDataset
BytesProducedStatsDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.BytesProducedStatsDataset
BytesProducedStatsDataset.Inputs - Class in org.tensorflow.op.data
BytesProducedStatsDataset.Inputs - Class in org.tensorflow.op.data.experimental

C

c - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The c input
c() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd: Gets c.
c() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Gets c.
c() - Method in class org.tensorflow.op.nn.GRUBlockCell: Gets c.
cache - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The cache input
CACHE_RPC_RESPONSE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RpcOptions.RPCOptions
CACHE_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CPUInfo
cacheDataset(Operand, Operand, Operand, List, List, CacheDataset.Options...) - Method in class org.tensorflow.op.DataOps: The CacheDatasetV2 operation
CacheDataset - Class in org.tensorflow.op.data: The CacheDatasetV2 operation
CacheDataset(Operation) - Constructor for class org.tensorflow.op.data.CacheDataset
CacheDataset.Inputs - Class in org.tensorflow.op.data
CacheDataset.Options - Class in org.tensorflow.op.data: Optional attributes for CacheDataset
call(String) - Method in class org.tensorflow.internal.c_api.Listener_String
call(Map) - Method in class org.tensorflow.ConcreteFunction
call(Map) - Method in class org.tensorflow.SavedModelBundle: Invokes the default function directly from this model.
call(Map) - Method in class org.tensorflow.SessionFunction
call(Map) - Method in interface org.tensorflow.TensorFunction: Invokes a function using the default eager session.
call(BytePointer) - Method in class org.tensorflow.internal.c_api.Listener_BytePointer
call(Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CancelCallback.Callback_Pointer
call(Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice.Delete_device_Pointer
call(Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle.Deallocator_Pointer
call(Pointer, int, TF_Status) - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle.Dim_Pointer_int_TF_Status
call(Pointer, long) - Method in class org.tensorflow.internal.c_api.TF_Buffer.Data_deallocator_Pointer_long
call(Pointer, long, Pointer) - Method in class org.tensorflow.internal.c_api.Deallocator_Pointer_long_Pointer
call(Pointer, TF_Status) - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle.Num_dims_Pointer_TF_Status
call(Pointer, TF_Status) - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle.Summarize_Pointer_TF_Status
call(ConcreteFunction, Map) - Method in class org.tensorflow.op.Ops: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(ConcreteFunction, Operand) - Method in class org.tensorflow.op.Ops: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(TFE_Context, PointerPointer, int, TF_Status, Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice.Pack_TFE_Context_PointerPointer_int_TF_Status_Pointer
call(TFE_Context, TFE_TensorHandle, BytePointer, TF_Status, Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice.Copy_tensor_from_device_TFE_Context_TFE_TensorHandle_BytePointer_TF_Status_Pointer
call(TFE_Context, TFE_TensorHandle, TF_Status, Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice.Copy_tensor_to_device_TFE_Context_TFE_TensorHandle_TF_Status_Pointer
call(TFE_Op, IntPointer, PointerPointer, TF_Status, Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice.Execute_TFE_Op_IntPointer_PointerPointer_TF_Status_Pointer
call(TFE_Op, TF_Status) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice.Shall_pin_to_this_device_TFE_Op_TF_Status
call(TFJ_GraphId, TFJ_Scope, TF_Operation, TF_Output, int, PointerPointer) - Method in class org.tensorflow.AbstractGradientAdapter
call(TFJ_GraphId, TFJ_Scope, TF_Operation, TF_Output, int, PointerPointer) - Method in class org.tensorflow.internal.c_api.TFJ_GradFuncAdapter
call(Ops, Map) - Method in class org.tensorflow.ConcreteFunction: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Ops, GraphOperation, List) - Method in interface org.tensorflow.op.RawCustomGradient: Calculate the gradients for op.
call(Ops, Operand) - Method in class org.tensorflow.ConcreteFunction: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.Accuracy: Calculates how often predictions equals labels.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.BinaryAccuracy: Calculates how often predictions match binary labels.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.BinaryCrossentropy: Computes the binary crossentropy loss between labels and predictions.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.CategoricalAccuracy: Computes the categorical crossentropy loss.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.CategoricalCrossentropy: Computes the crossentropy loss between the labels and predictions.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.CategoricalHinge: Computes the categorical hinge metric between labels and @{code predictions}.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.CosineSimilarity: Computes the cosine similarity loss between labels and predictions.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.Hinge: Computes the hinge loss between labels and predictions.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.KLDivergence: Computes Kullback-Leibler divergence metric between labels and predictions.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.LogCoshError: Calculates the Logarithm of the hyperbolic cosine of the prediction error.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.MeanAbsoluteError: Computes the mean absolute error loss between labels and predictions.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Computes the mean absolute percentage error loss between labels and predictions.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.MeanSquaredError: Computes the mean squared error between the labels and predictions.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Computes the mean squared logarithmic error between labels and predictions.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.Poisson: Computes the Poisson loss between labels and predictions.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Calculates how often predictions matches integer labels.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Calculates how often predictions matches integer labels.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Computes how often integer targets are in the top K predictions.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.SquaredHinge: Computes the squared hinge loss between labels and predictions.
call(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Computes how often targets are in the top K predictions.
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.BinaryCrossentropy: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.CategoricalCrossentropy: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.CategoricalHinge: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.CosineSimilarity: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.Hinge: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.Huber: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.KLDivergence: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.LogCosh: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.MeanAbsoluteError: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.MeanAbsolutePercentageError: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.MeanSquaredError: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.MeanSquaredLogarithmicError: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.Poisson: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.SparseCategoricalCrossentropy: Calculates the loss
call(Ops, Operand, Operand) - Method in class org.tensorflow.framework.losses.SquaredHinge: Calculates the loss
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.BinaryCrossentropy: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.CategoricalCrossentropy: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.CategoricalHinge: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.CosineSimilarity: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.Hinge: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.Huber: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.KLDivergence: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.LogCosh: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in interface org.tensorflow.framework.losses.Loss: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.MeanAbsoluteError: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.MeanAbsolutePercentageError: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.MeanSquaredError: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.MeanSquaredLogarithmicError: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.Poisson: Generates an Operand that calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.SparseCategoricalCrossentropy: Generates an Operand the calculates the loss.
call(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.losses.SquaredHinge: Generates an Operand that calculates the loss.
call(Ops, Operand, Class) - Method in class org.tensorflow.framework.initializers.Constant: Generates the operation used to perform the initialization.
call(Ops, Operand, Class) - Method in class org.tensorflow.framework.initializers.Identity: Generates the operation used to perform the initialization.
call(Ops, Operand, Class) - Method in interface org.tensorflow.framework.initializers.Initializer: Generates the operation used to perform the initialization.
call(Ops, Operand, Class) - Method in class org.tensorflow.framework.initializers.Ones: Generates the operation used to perform the initialization.
call(Ops, Operand, Class) - Method in class org.tensorflow.framework.initializers.Orthogonal: Generates the operation used to perform the initialization.
call(Ops, Operand, Class) - Method in class org.tensorflow.framework.initializers.RandomNormal: Generates the operation used to perform the initialization.
call(Ops, Operand, Class) - Method in class org.tensorflow.framework.initializers.RandomUniform: Generates the operation used to perform the initialization.
call(Ops, Operand, Class) - Method in class org.tensorflow.framework.initializers.TruncatedNormal: Generates the operation used to perform the initialization.
call(Ops, Operand, Class) - Method in class org.tensorflow.framework.initializers.VarianceScaling: Generates the operation used to perform the initialization.
call(Ops, Operand, Class) - Method in class org.tensorflow.framework.initializers.Zeros
call(Ops, Operand) - Method in class org.tensorflow.framework.regularizers.L1L2: Computes a regularization penalty from an input.
call(Ops, Operand) - Method in interface org.tensorflow.framework.regularizers.Regularizer: Computes a regularization penalty from an input.
call(Ops, Operand) - Method in interface org.tensorflow.framework.activations.Activation: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.ELU: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.Exponential: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.GELU: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.HardSigmoid: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.ReLU: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.SELU: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.Sigmoid: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.Softmax: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.Softplus: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.Softsign: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.Swish: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.Tanh: Gets the calculation operation for the activation.
call(Ops, Operand) - Method in interface org.tensorflow.framework.constraints.Constraint: Applies the constraint against the provided weights
call(Ops, Operand) - Method in class org.tensorflow.framework.constraints.MaxNorm: Applies the constraint against the provided weights
call(Ops, Operand) - Method in class org.tensorflow.framework.constraints.MinMaxNorm: Applies the constraint against the provided weights
call(Ops, Operand) - Method in class org.tensorflow.framework.constraints.NonNeg: Applies the constraint against the provided weights
call(Ops, Operand) - Method in class org.tensorflow.framework.constraints.UnitNorm: Applies the constraint against the provided weights
call(Ops, Operand) - Method in class org.tensorflow.framework.activations.Linear: Gets the calculation operation for the activation.
call(Ops, T, List) - Method in interface org.tensorflow.op.CustomGradient: Calculate the gradients for op.
call(Scope, Map) - Method in class org.tensorflow.ConcreteFunction: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Scope, ConcreteFunction, Map) - Static method in class org.tensorflow.op.core.Function: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Scope, ConcreteFunction, Operand) - Static method in class org.tensorflow.op.core.Function: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Scope, Operand) - Method in class org.tensorflow.ConcreteFunction: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Tensor) - Method in interface org.tensorflow.TensorFunction: Invokes a function with a single input and output using the default eager session.
CallableOptions - Class in org.tensorflow.proto: Defines a subgraph in another `GraphDef` as a set of feed points and nodes to be fetched or executed.
CallableOptions.Builder - Class in org.tensorflow.proto: Defines a subgraph in another `GraphDef` as a set of feed points and nodes to be fetched or executed.
CallableOptionsOrBuilder - Interface in org.tensorflow.proto
callback() - Method in class org.tensorflow.internal.c_api.TFE_CancelCallback
callback(TFE_CancelCallback.Callback_Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CancelCallback
Callback_Pointer() - Constructor for class org.tensorflow.internal.c_api.TFE_CancelCallback.Callback_Pointer
Callback_Pointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CancelCallback.Callback_Pointer: Pointer cast constructor.
callOnce(Ops, Operand, Operand, Class) - Method in class org.tensorflow.framework.metrics.BaseMetric: Calls update state once, followed by a call to get the result
callOnce(Ops, Operand, Operand, Class) - Method in interface org.tensorflow.framework.metrics.Metric: Calls update state once, followed by a call to get the result
CANCEL_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.QueueRunnerDef
CANCELLED - Enum constant in enum org.tensorflow.proto.error.Code: The operation was cancelled (typically by the caller).
CANCELLED_VALUE - Static variable in enum org.tensorflow.proto.error.Code: The operation was cancelled (typically by the caller).
cancelPendingEnqueues - Variable in class org.tensorflow.op.core.BarrierClose.Inputs: If true, all pending enqueue requests that are blocked on the barrier's queue will be canceled.
cancelPendingEnqueues - Variable in class org.tensorflow.op.io.QueueClose.Inputs: If true, all pending enqueue requests that are blocked on the given queue will be canceled.
cancelPendingEnqueues(Boolean) - Static method in class org.tensorflow.op.core.BarrierClose: Sets the cancelPendingEnqueues option.
cancelPendingEnqueues(Boolean) - Method in class org.tensorflow.op.core.BarrierClose.Options: Sets the cancelPendingEnqueues option.
cancelPendingEnqueues(Boolean) - Static method in class org.tensorflow.op.io.QueueClose: Sets the cancelPendingEnqueues option.
cancelPendingEnqueues(Boolean) - Method in class org.tensorflow.op.io.QueueClose.Options: Sets the cancelPendingEnqueues option.
CANONICALIZED_INPUT_SIGNATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
cap() - Method in class org.tensorflow.internal.c_api.TF_TString_Large
cap(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Large
capacity - Variable in class org.tensorflow.op.core.Barrier.Inputs: The capacity of the barrier.
capacity - Variable in class org.tensorflow.op.core.MapClear.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.MapSize.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.MapStage.Inputs: Maximum number of elements in the Staging Area.
capacity - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: Maximum number of elements in the Staging Area.
capacity - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.Stage.Inputs: Maximum number of elements in the Staging Area.
capacity - Variable in class org.tensorflow.op.core.StageClear.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.StageSize.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.Unstage.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: The upper bound on the number of elements in this queue.
capacity - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: The upper bound on the number of elements in this queue.
capacity - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: The upper bound on the number of elements in this queue.
capacity - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: The upper bound on the number of elements in this queue.
capacity(Long) - Static method in class org.tensorflow.op.core.Barrier: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapClear: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapClear.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapPeek: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapPeek.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapSize: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapStage: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapStage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapUnstage: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapUnstage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapClear: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapClear.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapSize: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapStage: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapStage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.Stage: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.Stage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.StageClear: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.StageClear.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.StagePeek: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.StagePeek.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.StageSize: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.StageSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.Unstage: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.Unstage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.io.PriorityQueue: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.io.PriorityQueue.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the capacity option.
CAPTURED_TENSOR - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase
CAPTURED_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
capturedInputs - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of tensors whose types are `Tcaptured`, corresponding to the captured inputs of the defun.
capturedTensors - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The tensors which are captured in the function, and don't need to be batched.
cardinality - Variable in class org.tensorflow.op.data.AssertCardinalityDataset.Inputs: The cardinality input
cardinality() - Method in class org.tensorflow.op.data.DatasetCardinality: Gets cardinality.
cardinality() - Method in class org.tensorflow.op.data.experimental.DatasetCardinality: Gets cardinality.
CARDINALITY_COMPUTE_LOW - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel: Cardinality will only be computed if it can be determined in a cheap manner (ie. without reading from file sources).
CARDINALITY_COMPUTE_LOW_VALUE - Static variable in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel: Cardinality will only be computed if it can be determined in a cheap manner (ie. without reading from file sources).
CARDINALITY_COMPUTE_MODERATE - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel: Moderate effort will be made to determine cardinality, such as reading index data from source files.
CARDINALITY_COMPUTE_MODERATE_VALUE - Static variable in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel: Moderate effort will be made to determine cardinality, such as reading index data from source files.
CARDINALITY_COMPUTE_UNSPECIFIED - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel: CARDINALITY_COMPUTE_UNSPECIFIED = 0;
CARDINALITY_COMPUTE_UNSPECIFIED_VALUE - Static variable in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel: CARDINALITY_COMPUTE_UNSPECIFIED = 0;
CARDINALITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DataService.DataServiceMetadata
cardinalityOptions - Variable in class org.tensorflow.op.data.DatasetCardinality.Inputs: The cardinalityOptions attribute
cardinalityOptions(String) - Static method in class org.tensorflow.op.data.DatasetCardinality: Sets the cardinalityOptions option.
cardinalityOptions(String) - Method in class org.tensorflow.op.data.DatasetCardinality.Options: Sets the cardinalityOptions option.
Case - Interface in org.tensorflow.op.core: An n-way switch statement which calls a single branch function.
Case.Options - Class in org.tensorflow.op.core: Optional attributes for Case
caseOp(Operand, Iterable, List, List, Case.Options...) - Method in class org.tensorflow.op.Ops: An n-way switch statement which calls a single branch function.
cast(Ops, Operand, Class) - Static method in class org.tensorflow.framework.utils.CastHelper: Casts an operand to the desired type.
cast(Operand, Class, Cast.Options...) - Method in class org.tensorflow.op.DtypesOps: Cast x of type SrcT to y of DstT.
Cast - Class in org.tensorflow.op.dtypes: Cast x of type SrcT to y of DstT.
Cast(Operation) - Constructor for class org.tensorflow.op.dtypes.Cast
Cast.Inputs - Class in org.tensorflow.op.dtypes
Cast.Options - Class in org.tensorflow.op.dtypes: Optional attributes for Cast
CastHelper - Class in org.tensorflow.framework.utils: A helper class for casting an Operand
CastHelper() - Constructor for class org.tensorflow.framework.utils.CastHelper
CategoricalAccuracy<T> - Class in org.tensorflow.framework.metrics: Metric that calculates how often predictions matches one-hot labels.
CategoricalAccuracy(long, Class) - Constructor for class org.tensorflow.framework.metrics.CategoricalAccuracy: Creates a CategoricalAccuracy metric, using Class.getSimpleName() for the metric name
CategoricalAccuracy(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.CategoricalAccuracy: Creates a CategoricalAccuracy metric
categoricalCrossentropy(Ops, Operand, Operand, boolean, float, int) - Static method in class org.tensorflow.framework.losses.Losses: Computes the categorical crossentropy loss between labels and predictions.
CategoricalCrossentropy - Class in org.tensorflow.framework.losses: Computes the crossentropy loss between the labels and predictions.
CategoricalCrossentropy<T> - Class in org.tensorflow.framework.metrics: A Metric that computes the categorical cross-entropy loss between true labels and predicted labels.
CategoricalCrossentropy() - Constructor for class org.tensorflow.framework.losses.CategoricalCrossentropy: Creates a categorical cross entropy AbstractLoss using Class.getSimpleName() as the loss name, CategoricalCrossentropy.FROM_LOGITS_DEFAULT for fromLogits, CategoricalCrossentropy.LABEL_SMOOTHING_DEFAULT for labelSmoothing, a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT, and an axis of CategoricalCrossentropy.DEFAULT_AXIS
CategoricalCrossentropy(boolean) - Constructor for class org.tensorflow.framework.losses.CategoricalCrossentropy: Creates a categorical cross entropy AbstractLoss using Class.getSimpleName() as the loss name, CategoricalCrossentropy.LABEL_SMOOTHING_DEFAULT for labelSmoothing, a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT, and an axis of CategoricalCrossentropy.DEFAULT_AXIS
CategoricalCrossentropy(boolean, float) - Constructor for class org.tensorflow.framework.losses.CategoricalCrossentropy: Creates a categorical cross entropy AbstractLoss using Class.getSimpleName() as the loss name, a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT, and a channel axis of CategoricalCrossentropy.DEFAULT_AXIS
CategoricalCrossentropy(boolean, float, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.CategoricalCrossentropy: Creates a CategoricalCrossentropy metric that computes the crossentropy metric between the labels and predictions using Class.getSimpleName() for the metric name.
CategoricalCrossentropy(boolean, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.CategoricalCrossentropy: Creates a CategoricalCrossentropy metric that computes the crossentropy metric between the labels and predictions using Class.getSimpleName() for the metric name
CategoricalCrossentropy(boolean, float, Reduction) - Constructor for class org.tensorflow.framework.losses.CategoricalCrossentropy: Creates a categorical cross entropy AbstractLoss using Class.getSimpleName() as the loss name and a channel axis of CategoricalCrossentropy.DEFAULT_AXIS
CategoricalCrossentropy(String) - Constructor for class org.tensorflow.framework.losses.CategoricalCrossentropy: Creates a categorical cross entropy AbstractLoss using CategoricalCrossentropy.FROM_LOGITS_DEFAULT for fromLogits, CategoricalCrossentropy.LABEL_SMOOTHING_DEFAULT for labelSmoothing, a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT, and an axis of CategoricalCrossentropy.DEFAULT_AXIS
CategoricalCrossentropy(String, boolean) - Constructor for class org.tensorflow.framework.losses.CategoricalCrossentropy: Creates a categorical cross entropy AbstractLoss using CategoricalCrossentropy.LABEL_SMOOTHING_DEFAULT for labelSmoothing, a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT, and a channel axis of CategoricalCrossentropy.DEFAULT_AXIS
CategoricalCrossentropy(String, boolean, float) - Constructor for class org.tensorflow.framework.losses.CategoricalCrossentropy: Creates a categorical cross entropy AbstractLoss using a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT, and a channel axis of CategoricalCrossentropy.DEFAULT_AXIS
CategoricalCrossentropy(String, boolean, float, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.CategoricalCrossentropy: Creates a CategoricalCrossentropy metric that computes the crossentropy metric between the labels and predictions.
CategoricalCrossentropy(String, boolean, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.CategoricalCrossentropy: Creates a CategoricalCrossentropy metric that computes the crossentropy metric between the labels and predictions.
CategoricalCrossentropy(String, boolean, float, Reduction, int) - Constructor for class org.tensorflow.framework.losses.CategoricalCrossentropy: Creates a categorical cross entropy AbstractLoss
CategoricalCrossentropy(String, Reduction) - Constructor for class org.tensorflow.framework.losses.CategoricalCrossentropy: Creates a categorical cross entropy AbstractLoss CategoricalCrossentropy.FROM_LOGITS_DEFAULT for fromLogits, CategoricalCrossentropy.LABEL_SMOOTHING_DEFAULT for labelSmoothing, and an axis of CategoricalCrossentropy.DEFAULT_AXIS
CategoricalCrossentropy(Reduction) - Constructor for class org.tensorflow.framework.losses.CategoricalCrossentropy: Creates a categorical cross entropy AbstractLoss using Class.getSimpleName() as the loss name, CategoricalCrossentropy.FROM_LOGITS_DEFAULT for fromLogits, CategoricalCrossentropy.LABEL_SMOOTHING_DEFAULT for labelSmoothing and an axis of CategoricalCrossentropy.DEFAULT_AXIS
categoricalHinge(Ops, Operand, Operand) - Static method in class org.tensorflow.framework.losses.Losses: Computes the categorical hinge loss between labels and predictions.
CategoricalHinge - Class in org.tensorflow.framework.losses: Computes the categorical hinge loss between labels and predictions.
CategoricalHinge<T> - Class in org.tensorflow.framework.metrics: A Metric that computes the categorical hinge loss metric between labels and predictions.
CategoricalHinge() - Constructor for class org.tensorflow.framework.losses.CategoricalHinge: Creates a Categorical Hinge AbstractLoss using Class.getSimpleName() as the loss name and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
CategoricalHinge(long, Class) - Constructor for class org.tensorflow.framework.metrics.CategoricalHinge: Creates a CategoricalHinge metric using Class.getSimpleName() for the metric name.
CategoricalHinge(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.CategoricalHinge: Creates a CategoricalHinge metric
CategoricalHinge(String, Reduction) - Constructor for class org.tensorflow.framework.losses.CategoricalHinge: Creates a Categorical Hinge
CategoricalHinge(Reduction) - Constructor for class org.tensorflow.framework.losses.CategoricalHinge: Creates a Categorical Hinge AbstractLoss using Class.getSimpleName() as the loss name
CC_FLAGS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BuildConfiguration
cdt_deallocator() - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle
cdt_deallocator(TFE_CustomDeviceTensorHandle.Deallocator_Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle
ceil(Operand) - Method in class org.tensorflow.op.MathOps: Returns element-wise smallest integer not less than x.
Ceil<T> - Class in org.tensorflow.op.math: Returns element-wise smallest integer not less than x.
Ceil(Operation) - Constructor for class org.tensorflow.op.math.Ceil
Ceil.Inputs<T> - Class in org.tensorflow.op.math
cellClip - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Value to clip the 'cs' value to.
cellClip - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: Value to clip the 'cs' value to.
cellClip(Float) - Static method in class org.tensorflow.op.nn.BlockLSTM: Sets the cellClip option.
cellClip(Float) - Method in class org.tensorflow.op.nn.BlockLSTM.Options: Sets the cellClip option.
cellClip(Float) - Static method in class org.tensorflow.op.nn.LSTMBlockCell: Sets the cellClip option.
cellClip(Float) - Method in class org.tensorflow.op.nn.LSTMBlockCell.Options: Sets the cellClip option.
centered - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: indicates if the offset coordinates are centered relative to the image, in which case the (0, 0) offset is relative to the center of the input images.
centered(Boolean) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Sets the centered option.
centered(Boolean) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options: Sets the centered option.
CENTERED_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.RMSProp
centers - Variable in class org.tensorflow.op.image.NearestNeighbors.Inputs: Matrix of shape (m, d).
CHANGELIST - Enum constant in enum org.tensorflow.proto.CommitId.KindCase
CHANGELIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CommitId
channels - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: Number of color channels for the decoded image.
channels - Variable in class org.tensorflow.op.image.DecodeBmp.Inputs: The channels attribute
channels - Variable in class org.tensorflow.op.image.DecodeImage.Inputs: Number of color channels for the decoded image.
channels - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: Number of color channels for the decoded image.
channels - Variable in class org.tensorflow.op.image.DecodePng.Inputs: Number of color channels for the decoded image.
channels(Long) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the channels option.
channels(Long) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the channels option.
channels(Long) - Static method in class org.tensorflow.op.image.DecodeBmp: Sets the channels option.
channels(Long) - Method in class org.tensorflow.op.image.DecodeBmp.Options: Sets the channels option.
channels(Long) - Static method in class org.tensorflow.op.image.DecodeImage: Sets the channels option.
channels(Long) - Method in class org.tensorflow.op.image.DecodeImage.Options: Sets the channels option.
channels(Long) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the channels option.
channels(Long) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the channels option.
channels(Long) - Static method in class org.tensorflow.op.image.DecodePng: Sets the channels option.
channels(Long) - Method in class org.tensorflow.op.image.DecodePng.Options: Sets the channels option.
CHANNELS_FIRST - Static variable in class org.tensorflow.framework.losses.Losses
CHANNELS_LAST - Static variable in class org.tensorflow.framework.losses.Losses
charToByteStarts() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Gets charToByteStarts.
charValues() - Method in class org.tensorflow.op.strings.UnicodeDecode: Gets charValues.
charValues() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Gets charValues.
checkClassName(Map) - Method in class org.tensorflow.framework.activations.AbstractActivation: Verifies that the configuration is for the same Activation class.
checkConfigKeys(Set, Set) - Method in class org.tensorflow.framework.activations.AbstractActivation: Verifies that any key in keysToCheck is also in the allowedKeys set.
checkInput(Op) - Method in interface org.tensorflow.ExecutionEnvironment: Checks that input is valid to use as an input in this execution environment.
checkInput(Operation) - Method in class org.tensorflow.EagerSession
checkInput(Operation) - Method in interface org.tensorflow.ExecutionEnvironment: Checks that input is valid to use as an input in this execution environment.
checkInput(Operation) - Method in class org.tensorflow.Graph
checkIsGraph(Ops) - Method in class org.tensorflow.framework.metrics.BaseMetric: Checks if the TensorFlow Ops encapsulates a Graph environment.
checkNumerics(Operand, String) - Method in class org.tensorflow.op.DebuggingOps: Checks a tensor for NaN, -Inf and +Inf values.
CheckNumerics<T> - Class in org.tensorflow.op.debugging: Checks a tensor for NaN, -Inf and +Inf values.
CheckNumerics(Operation) - Constructor for class org.tensorflow.op.debugging.CheckNumerics
CheckNumerics.Inputs<T> - Class in org.tensorflow.op.debugging
checkPinned(Operand) - Method in class org.tensorflow.op.Ops: Checks whether a tensor is located in host memory pinned for GPU.
CheckPinned<T> - Class in org.tensorflow.op.core: Checks whether a tensor is located in host memory pinned for GPU.
CheckPinned(Operation) - Constructor for class org.tensorflow.op.core.CheckPinned
CheckPinned.Inputs<T> - Class in org.tensorflow.op.core
CHECKPOINT - Enum constant in enum org.tensorflow.proto.SessionLog.SessionStatus: CHECKPOINT = 3;
CHECKPOINT_HASH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FingerprintDef
CHECKPOINT_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
CHECKPOINT_PATH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SessionLog
CHECKPOINT_VALUE - Static variable in enum org.tensorflow.proto.SessionLog.SessionStatus: CHECKPOINT = 3;
checkpointPrefixes - Variable in class org.tensorflow.op.train.MergeV2Checkpoints.Inputs: prefixes of V2 checkpoints to merge.
CHILD_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
CHILDREN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
CHILDREN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
cholesky(Operand) - Method in class org.tensorflow.op.LinalgOps: Computes the Cholesky decomposition of one or more square matrices.
Cholesky<T> - Class in org.tensorflow.op.linalg: Computes the Cholesky decomposition of one or more square matrices.
Cholesky(Operation) - Constructor for class org.tensorflow.op.linalg.Cholesky
Cholesky.Inputs<T> - Class in org.tensorflow.op.linalg
choleskyGrad(Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: Computes the reverse mode backpropagated gradient of the Cholesky algorithm.
CholeskyGrad<T> - Class in org.tensorflow.op.linalg: Computes the reverse mode backpropagated gradient of the Cholesky algorithm.
CholeskyGrad(Operation) - Constructor for class org.tensorflow.op.linalg.CholeskyGrad
CholeskyGrad.Inputs<T> - Class in org.tensorflow.op.linalg
chooseFastestBranchDataset(Operand, Operand, Operand, Iterable, Long, List, List, List, List) - Method in class org.tensorflow.op.DataOps: The ChooseFastestBranchDataset operation
ChooseFastestBranchDataset - Class in org.tensorflow.op.data: The ChooseFastestBranchDataset operation
ChooseFastestBranchDataset(Operation) - Constructor for class org.tensorflow.op.data.ChooseFastestBranchDataset
ChooseFastestBranchDataset.Inputs - Class in org.tensorflow.op.data
chooseFastestDataset(Iterable, Long, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalChooseFastestDataset operation
chooseFastestDataset(Iterable, Long, List, List) - Method in class org.tensorflow.op.DataOps: The ChooseFastestDataset operation
ChooseFastestDataset - Class in org.tensorflow.op.data: The ChooseFastestDataset operation
ChooseFastestDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalChooseFastestDataset operation
ChooseFastestDataset(Operation) - Constructor for class org.tensorflow.op.data.ChooseFastestDataset
ChooseFastestDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ChooseFastestDataset
ChooseFastestDataset.Inputs - Class in org.tensorflow.op.data
ChooseFastestDataset.Inputs - Class in org.tensorflow.op.data.experimental
chromaDownsampling - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: See http://en.wikipedia.org/wiki/Chroma_subsampling.
chromaDownsampling(Boolean) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the chromaDownsampling option.
chromaDownsampling(Boolean) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the chromaDownsampling option.
CHUNK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
chunkFile - Variable in class org.tensorflow.op.data.SnapshotChunkDataset.Inputs: The chunkFile input
ci - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The cell input over the whole time sequence.
ci - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The cell input.
ci() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets ci.
ci() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets ci.
ckptPath - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: Path to the TensorFlow checkpoint (version 2, TensorBundle) from which the old matrix Tensor will be loaded.
clear() - Method in class org.tensorflow.proto.AllocationDescription.Builder
clear() - Method in class org.tensorflow.proto.AllocationRecord.Builder
clear() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
clear() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
clear() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
clear() - Method in class org.tensorflow.proto.ApiDef.Builder
clear() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
clear() - Method in class org.tensorflow.proto.ApiDefs.Builder
clear() - Method in class org.tensorflow.proto.AssetFileDef.Builder
clear() - Method in class org.tensorflow.proto.AttrValue.Builder
clear() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
clear() - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
clear() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
clear() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
clear() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
clear() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
clear() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
clear() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
clear() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
clear() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
clear() - Method in class org.tensorflow.proto.BuildConfiguration.Builder
clear() - Method in class org.tensorflow.proto.BundleEntryProto.Builder
clear() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
clear() - Method in class org.tensorflow.proto.BytesList.Builder
clear() - Method in class org.tensorflow.proto.CallableOptions.Builder
clear() - Method in class org.tensorflow.proto.ClusterDef.Builder
clear() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
clear() - Method in class org.tensorflow.proto.CodeLocation.Builder
clear() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
clear() - Method in class org.tensorflow.proto.CollectionDef.Builder
clear() - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
clear() - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
clear() - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
clear() - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
clear() - Method in class org.tensorflow.proto.CommitId.Builder
clear() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
clear() - Method in class org.tensorflow.proto.CondContextDef.Builder
clear() - Method in class org.tensorflow.proto.ConfigProto.Builder
clear() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
clear() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
clear() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
clear() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
clear() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
clear() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
clear() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
clear() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
clear() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
clear() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
clear() - Method in class org.tensorflow.proto.CostGraphDef.Builder
clear() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
clear() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
clear() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
clear() - Method in class org.tensorflow.proto.CPUInfo.Builder
clear() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
clear() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
clear() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
clear() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
clear() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
clear() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
clear() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
clear() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
clear() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
clear() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
clear() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
clear() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clear() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
clear() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
clear() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
clear() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
clear() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
clear() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
clear() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
clear() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
clear() - Method in class org.tensorflow.proto.DebugEvent.Builder
clear() - Method in class org.tensorflow.proto.DebuggedDevice.Builder
clear() - Method in class org.tensorflow.proto.DebuggedGraph.Builder
clear() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
clear() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
clear() - Method in class org.tensorflow.proto.DebugMetadata.Builder
clear() - Method in class org.tensorflow.proto.DebugOptions.Builder
clear() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
clear() - Method in class org.tensorflow.proto.DeviceAttributes.Builder
clear() - Method in class org.tensorflow.proto.DeviceLocality.Builder
clear() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
clear() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
clear() - Method in class org.tensorflow.proto.DeviceStepStats.Builder
clear() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
clear() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
clear() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
clear() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
clear() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
clear() - Method in class org.tensorflow.proto.EntryValue.Builder
clear() - Method in class org.tensorflow.proto.Event.Builder
clear() - Method in class org.tensorflow.proto.Example.Builder
clear() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
clear() - Method in class org.tensorflow.proto.Execution.Builder
clear() - Method in class org.tensorflow.proto.Feature.Builder
clear() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
clear() - Method in class org.tensorflow.proto.FeatureList.Builder
clear() - Method in class org.tensorflow.proto.FeatureLists.Builder
clear() - Method in class org.tensorflow.proto.Features.Builder
clear() - Method in class org.tensorflow.proto.FingerprintDef.Builder
clear() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
clear() - Method in class org.tensorflow.proto.FloatList.Builder
clear() - Method in class org.tensorflow.proto.FullTypeDef.Builder
clear() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
clear() - Method in class org.tensorflow.proto.FunctionDef.Builder
clear() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
clear() - Method in class org.tensorflow.proto.GPUInfo.Builder
clear() - Method in class org.tensorflow.proto.GPUOptions.Builder
clear() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
clear() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
clear() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
clear() - Method in class org.tensorflow.proto.GradientDef.Builder
clear() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
clear() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
clear() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
clear() - Method in class org.tensorflow.proto.GraphDef.Builder
clear() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
clear() - Method in class org.tensorflow.proto.GraphOpCreation.Builder
clear() - Method in class org.tensorflow.proto.GraphOptions.Builder
clear() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
clear() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
clear() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
clear() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
clear() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
clear() - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
clear() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
clear() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
clear() - Method in class org.tensorflow.proto.HistogramProto.Builder
clear() - Method in class org.tensorflow.proto.Int64List.Builder
clear() - Method in class org.tensorflow.proto.InterconnectLink.Builder
clear() - Method in class org.tensorflow.proto.JobDef.Builder
clear() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
clear() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
clear() - Method in class org.tensorflow.proto.KernelDef.Builder
clear() - Method in class org.tensorflow.proto.KernelList.Builder
clear() - Method in class org.tensorflow.proto.LocalLinks.Builder
clear() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
clear() - Method in class org.tensorflow.proto.MachineConfiguration.Builder
clear() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
clear() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
clear() - Method in class org.tensorflow.proto.MemoryInfo.Builder
clear() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
clear() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
clear() - Method in class org.tensorflow.proto.MemoryLogStep.Builder
clear() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
clear() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
clear() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
clear() - Method in class org.tensorflow.proto.MemoryStats.Builder
clear() - Method in class org.tensorflow.proto.MetaGraphDef.Builder
clear() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
clear() - Method in class org.tensorflow.proto.MetricEntry.Builder
clear() - Method in class org.tensorflow.proto.NameAttrList.Builder
clear() - Method in class org.tensorflow.proto.NamedTensorProto.Builder
clear() - Method in class org.tensorflow.proto.NodeDef.Builder
clear() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
clear() - Method in class org.tensorflow.proto.NodeExecStats.Builder
clear() - Method in class org.tensorflow.proto.NodeOutput.Builder
clear() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
clear() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
clear() - Method in class org.tensorflow.proto.OpDef.Builder
clear() - Method in class org.tensorflow.proto.OpDeprecation.Builder
clear() - Method in class org.tensorflow.proto.OpList.Builder
clear() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
clear() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
clear() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
clear() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
clear() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
clear() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
clear() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
clear() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
clear() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
clear() - Method in class org.tensorflow.proto.OptimizerOptions.Builder
clear() - Method in class org.tensorflow.proto.PlatformInfo.Builder
clear() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
clear() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
clear() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
clear() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
clear() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
clear() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
clear() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
clear() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
clear() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
clear() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
clear() - Method in class org.tensorflow.proto.ReaderBaseState.Builder
clear() - Method in class org.tensorflow.proto.RegisteredGradient.Builder
clear() - Method in class org.tensorflow.proto.RequestedExitCode.Builder
clear() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
clear() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
clear() - Method in class org.tensorflow.proto.RewriterConfig.Builder
clear() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
clear() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
clear() - Method in class org.tensorflow.proto.RunConfiguration.Builder
clear() - Method in class org.tensorflow.proto.RunMetadata.Builder
clear() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
clear() - Method in class org.tensorflow.proto.RunOptions.Builder
clear() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
clear() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
clear() - Method in class org.tensorflow.proto.SavedModel.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
clear() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
clear() - Method in class org.tensorflow.proto.SavedSlice.Builder
clear() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
clear() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
clear() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
clear() - Method in class org.tensorflow.proto.SaverDef.Builder
clear() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
clear() - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
clear() - Method in class org.tensorflow.proto.SequenceExample.Builder
clear() - Method in class org.tensorflow.proto.SerializedDType.Builder
clear() - Method in class org.tensorflow.proto.ServerDef.Builder
clear() - Method in class org.tensorflow.proto.SessionLog.Builder
clear() - Method in class org.tensorflow.proto.SessionMetadata.Builder
clear() - Method in class org.tensorflow.proto.SignatureDef.Builder
clear() - Method in class org.tensorflow.proto.SourceFile.Builder
clear() - Method in class org.tensorflow.proto.SourceMetadata.Builder
clear() - Method in class org.tensorflow.proto.StackFrameWithId.Builder
clear() - Method in class org.tensorflow.proto.StatusProto.Builder
clear() - Method in class org.tensorflow.proto.StepStats.Builder
clear() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
clear() - Method in class org.tensorflow.proto.Struct.DictValue.Builder
clear() - Method in class org.tensorflow.proto.Struct.ListValue.Builder
clear() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
clear() - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
clear() - Method in class org.tensorflow.proto.Struct.PairValue.Builder
clear() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
clear() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
clear() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
clear() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
clear() - Method in class org.tensorflow.proto.Summary.Audio.Builder
clear() - Method in class org.tensorflow.proto.Summary.Builder
clear() - Method in class org.tensorflow.proto.Summary.Image.Builder
clear() - Method in class org.tensorflow.proto.Summary.Value.Builder
clear() - Method in class org.tensorflow.proto.SummaryDescription.Builder
clear() - Method in class org.tensorflow.proto.SummaryMetadata.Builder
clear() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
clear() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
clear() - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
clear() - Method in class org.tensorflow.proto.TensorConnection.Builder
clear() - Method in class org.tensorflow.proto.TensorDescription.Builder
clear() - Method in class org.tensorflow.proto.TensorInfo.Builder
clear() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
clear() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
clear() - Method in class org.tensorflow.proto.TensorProto.Builder
clear() - Method in class org.tensorflow.proto.TensorShapeProto.Builder
clear() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
clear() - Method in class org.tensorflow.proto.TensorSliceProto.Builder
clear() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
clear() - Method in class org.tensorflow.proto.TestResults.Builder
clear() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
clear() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
clear() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
clear() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
clear() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
clear() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
clear() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
clear() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
clear() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
clear() - Method in class org.tensorflow.proto.ValuesDef.Builder
clear() - Method in class org.tensorflow.proto.VariableDef.Builder
clear() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
clear() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
clear() - Method in class org.tensorflow.proto.VerifierConfig.Builder
clear() - Method in class org.tensorflow.proto.VersionDef.Builder
clear() - Method in class org.tensorflow.proto.WatchdogConfig.Builder
clear() - Method in class org.tensorflow.proto.WhileContextDef.Builder
clear() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
clear() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
clearActionCount() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: uint64 action_count = 7;
clearActionCount() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder: uint64 action_count = 1;
clearAddress() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: uint64 address = 1;
clearAfterRead - Variable in class org.tensorflow.op.core.TensorArray.Inputs: If true (default), Tensors in the TensorArray are cleared after being read.
clearAfterRead(Boolean) - Static method in class org.tensorflow.op.core.TensorArray: Sets the clearAfterRead option.
clearAfterRead(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the clearAfterRead option.
clearAgentDestructionWithoutShutdown() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: If set, agents do not make an explicit Shutdown() call.
clearAggregation() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.VariableAggregation aggregation = 5;
clearAggregation() - Method in class org.tensorflow.proto.VariableDef.Builder: Indicates how a distributed variable will be aggregated.
clearAlgorithm() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Algorithm used for autotuning optimization.
clearAliasInputPort() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: If >= 0, the output is an alias of an input.
clearAllEndRelMicros() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 all_end_rel_micros = 5;
clearAllEndRelNanos() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 all_end_rel_nanos = 16;
clearAllocatedBytes() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Total number of bytes allocated if known
clearAllocationDescription() - Method in class org.tensorflow.proto.TensorDescription.Builder: Information about the size and allocator used for the data
clearAllocationId() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Identifier of the allocated buffer if known
clearAllocationId() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
clearAllocationId() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
clearAllocationId() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
clearAllocationRecords() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
clearAllocatorBytesInUse() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: These are snapshots of the overall allocator memory stats.
clearAllocatorName() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Name of the allocator used
clearAllocatorName() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: string allocator_name = 1;
clearAllocatorName() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: string allocator_name = 1;
clearAllocatorName() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Name of the allocator used.
clearAllocatorName() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Name of the allocator used.
clearAllocatorName() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
clearAllocatorType() - Method in class org.tensorflow.proto.GPUOptions.Builder: The type of GPU allocation strategy to use.
clearAllocBytes() - Method in class org.tensorflow.proto.AllocationRecord.Builder: Number of bytes allocated, or de-allocated if negative.
clearAllocMicros() - Method in class org.tensorflow.proto.AllocationRecord.Builder: The timestamp of the operation.
clearAllowedPositionalArguments() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: The prefix of `argument_keywords` which may be identified by position.
clearAllowedValues() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
clearAllowedValues() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: The set of allowed values.
clearAllowGrowth() - Method in class org.tensorflow.proto.GPUOptions.Builder: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
clearAllowNewIncarnationToReconnect() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: If a task restarts with a new incarnation, we may allow it to reconnect silently.
clearAllowSoftPlacement() - Method in class org.tensorflow.proto.ConfigProto.Builder: Whether soft placement is allowed.
clearAllowsUninitializedInput() - Method in class org.tensorflow.proto.OpDef.Builder: By default, all inputs to an Op must be initialized Tensors.
clearAllStartMicros() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 all_start_micros = 2;
clearAllStartNanos() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 all_start_nanos = 13;
clearAnyInfo() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
clearAnyList() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
clearApplyDefaultOptimizations() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool apply_default_optimizations = 1;
clearArgAttr() - Method in class org.tensorflow.proto.FunctionDef.Builder
clearArgOrder() - Method in class org.tensorflow.proto.ApiDef.Builder: List of original in_arg names to specify new argument order.
clearArgs() - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
clearArgument() - Method in class org.tensorflow.proto.RunConfiguration.Builder: repeated string argument = 1;
clearArgumentKeywords() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
clearArithmeticOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
clearAsset() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
clearAssetFileDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
clearAssetFileDefIndex() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder: Index into `MetaGraphDef.asset_file_def[]` that describes the Asset.
clearAttr() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
clearAttr() - Method in class org.tensorflow.proto.FullTypeDef.Builder
clearAttr() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
clearAttr() - Method in class org.tensorflow.proto.FunctionDef.Builder
clearAttr() - Method in class org.tensorflow.proto.NameAttrList.Builder
clearAttr() - Method in class org.tensorflow.proto.NodeDef.Builder
clearAttr() - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
clearAttr() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
clearAttributes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
clearAudio() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
clearAutoMixedPrecision() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for CUDA/oneDNN (default is OFF).
clearAutoMixedPrecisionCpu() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Emulate a model using data type float16 on CPU (default is OFF).
clearAutoMixedPrecisionMkl() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for oneDNN (default is OFF).
clearAutoMixedPrecisionOnednnBfloat16() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for oneDNN (default is OFF).
clearAutoParallel() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
clearAutoShardPolicy() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
clearAutotune() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: An indication whether autotuning is enabled for this node.
clearAutotuneAlgorithm() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: .tensorflow.data.model.AutotuneAlgorithm autotune_algorithm = 4;
clearAutotuneOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The autotune options associated with the dataset.
clearAvailable() - Method in class org.tensorflow.proto.MemoryInfo.Builder: Immediately available memory in bytes
clearAvailableDeviceInfo() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
clearB() - Method in class org.tensorflow.proto.AttrValue.Builder: "bool"
clearB() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(bool)"
clearBackendServerPort() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Port for the Pathways server.
clearBackProp() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Whether backprop is enabled for this while loop.
clearBadConsumers() - Method in class org.tensorflow.proto.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
clearBandwidth() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Memory bandwidth in KB/s
clearBareConcreteFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
clearBenchmarkType() - Method in class org.tensorflow.proto.TestResults.Builder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
clearBin() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int32 bin = 1;
clearBin() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: int32 bin = 4;
clearBinSummary() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
clearBits() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '64bit'
clearBoolVal() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_BOOL
clearBoolValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a boolean value.
clearBoundedTensorSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
clearBoundInputs() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
clearBranch() - Method in class org.tensorflow.proto.CondContextDef.Builder: Branch prediction. 0 or 1.
clearBucket() - Method in class org.tensorflow.proto.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
clearBucketLimit() - Method in class org.tensorflow.proto.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
clearBufferedBytes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of bytes stored in this node's buffer.
clearBufferedElements() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of elements stored in this node's buffer.
clearBuildConfiguration() - Method in class org.tensorflow.proto.TestResults.Builder: The configuration of the build (compiled opt?
clearBuildCostModel() - Method in class org.tensorflow.proto.GraphOptions.Builder: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
clearBuildCostModelAfter() - Method in class org.tensorflow.proto.GraphOptions.Builder: The number of steps to skip before collecting statistics for the cost model.
clearBusId() - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional bus locality of device.
clearBusId() - Method in class org.tensorflow.proto.GPUInfo.Builder: e.g. "0000:04:00.0"
clearBytes() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Byte size of the file.
clearBytesConsumed() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of bytes consumed by the node.
clearBytesInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: int64 bytes_in_use = 2;
clearBytesList() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
clearBytesList() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
clearBytesProduced() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of bytes produced by the node.
clearBytesValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: bytes bytes_value = 6;
clearCacheRpcResponse() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests .
clearCacheSize() - Method in class org.tensorflow.proto.CPUInfo.Builder
clearCancelOpName() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: The operation to run to cancel the queue.
clearCanonicalizedInputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
clearCapturedTensor() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
clearCardinality() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder: Cardinality of the dataset.
clearCcFlags() - Method in class org.tensorflow.proto.BuildConfiguration.Builder: CC compiler flags, if known
clearChangelist() - Method in class org.tensorflow.proto.CommitId.Builder: Submitted changelist.
clearCheckpointHash() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of the checkpoint.
clearCheckpointKey() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
clearCheckpointPath() - Method in class org.tensorflow.proto.SessionLog.Builder: This checkpoint_path contains both the path and filename.
clearChildId() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
clearChildren() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
clearChildren() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
clearChunk() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
clearClientTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long to wait before garbage-collecting a client that hasn't heartbeated to the dispatcher.
clearCloseOpName() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: The operation to run to close the queue.
clearCluster() - Method in class org.tensorflow.proto.ServerDef.Builder: The cluster of which this server is a member.
clearClusterDef() - Method in class org.tensorflow.proto.ConfigProto.Builder: Optional list of all workers to use in this session.
clearClusterDeviceFilters() - Method in class org.tensorflow.proto.ServerDef.Builder: Device filters for remote tasks in the cluster.
clearClusterRegisterTimeoutInMs() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Maximum wait time for all members in the cluster to be registered.
clearCode() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Source code contained in this file line.
clearCode() - Method in class org.tensorflow.proto.StatusProto.Builder: Status code as defined in tensorflow/tsl/protobuf/error_codes.proto.
clearCodeLocation() - Method in class org.tensorflow.proto.Execution.Builder: Stack trace of the eager execution.
clearCodeLocation() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
clearCol() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Col number in the file line.
clearCollectionDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder
clearCollectiveDeterministicSequentialExecution() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
clearCollectiveGraphKey() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
clearCollectiveGroupLeader() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Task name for group resolution.
clearCollectiveNccl() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, use NCCL for CollectiveOps.
clearCollectiveRingOrder() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
clearColorspace() - Method in class org.tensorflow.proto.Summary.Image.Builder: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA
clearCommitId() - Method in class org.tensorflow.proto.TestResults.Builder: The commit id (git hash or changelist)
clearCommonSubgraphElimination() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Common subgraph elimination (default is ON) e.g.
clearComponentMetadata() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
clearComponents() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
clearComponents() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
clearCompositeTensor() - Method in class org.tensorflow.proto.TensorInfo.Builder: Generic encoding for CompositeTensors.
clearCompression() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder: .tensorflow.data.DataServiceMetadata.Compression compression = 2;
clearCompression() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder: Whether and how to compress the snapshot.
clearCompressionAlgorithm() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: The compression algorithm to be used.
clearCompressionLevel() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: If compression_algorithm is set, the compression level to be used.
clearComputeCost() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Estimate of the computational cost of this node, in microseconds.
clearComputeCost() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Time it takes to run the op (in nanoseconds).
clearComputeEfficiency() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Percentage of theoretical compute performance.
clearComputeLevel() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder: .tensorflow.data.CardinalityOptions.ComputeLevel compute_level = 1;
clearComputeTime() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Analytical estimate of the computational cost of this node, in microseconds.
clearComputeTime() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Analytical compute cost (in nanoseconds).
clearConcreteFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder: Name of concrete function which contains the computed graph tensor.
clearConcreteFunctionName() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: Identifies a SavedConcreteFunction.
clearConcreteFunctions() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: repeated string concrete_functions = 1;
clearConcreteFunctions() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
clearCondCtxt() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
clearConfig() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
clearConstant() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
clearConstantFolding() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
clearConstNodeInfo() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
clearConstraint() - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
clearContainer() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Container in which this resource is placed.
clearContent() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder: The content to store for the plugin.
clearContentType() - Method in class org.tensorflow.proto.Summary.Audio.Builder: string content_type = 5;
clearContext() - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.Features context = 1;
clearContextName() - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the context.
clearContextName() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the context.
clearControlInput() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
clearControlOutput() - Method in class org.tensorflow.proto.OpDef.Builder: Named control outputs for this operation.
clearControlRet() - Method in class org.tensorflow.proto.FunctionDef.Builder
clearCoordinatedJobList() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
clearCoordinationConfig() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Distributed coordination service configurations.
clearCooSparse() - Method in class org.tensorflow.proto.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
clearCost() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder: Aggregated cost value.
clearCost() - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
clearCostGraph() - Method in class org.tensorflow.proto.RunMetadata.Builder: The cost graph for the computation defined by the run call.
clearCpuBudget() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: int32 cpu_budget = 2;
clearCpuBudget() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Number of available logical threads.
clearCpuGlobalJit() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: CPU code will be autoclustered only if global_jit_level >= ON_1 and either: - this flag is true, or - TF_XLA_FLAGS contains --tf_xla_cpu_global_jit=true.
clearCpuGovernor() - Method in class org.tensorflow.proto.CPUInfo.Builder: What kind of cpu scaling is enabled on the host.
clearCpuInfo() - Method in class org.tensorflow.proto.CPUInfo.Builder: Additional cpu information.
clearCpuInfo() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: CPU Information.
clearCpuLayoutConversion() - Method in class org.tensorflow.proto.RewriterConfig.Builder: CPU Conversion settings between NHCW and NCHW.
clearCpuTime() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Total cpu time used for all iterations (in seconds)
clearCrc32C() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: The CRC32C checksum of the tensor bytes.
clearCreationTimestamp() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Time when we started creating this snapshot.
clearCrossTrainerCacheSizeBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Maximum size of the cross-trainer cache in bytes.
clearCtxt() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
clearCurrentWork() - Method in class org.tensorflow.proto.ReaderBaseState.Builder: bytes current_work = 4;
clearCustomOptimizers() - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
clearData() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Compressed tensor bytes for all components of the element.
clearData() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: bytes data = 4;
clearData() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
clearData() - Method in class org.tensorflow.proto.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
clearData() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
clearDataClass() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Class of data stored in this time series.
clearDatasetName() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: string dataset_name = 10;
clearDatasetName() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: User-defined name for the dataset.
clearDataTransferAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If `data_transfer_protocol` is set, the address of the data transfer server.
clearDataTransferPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If `data_transfer_protocol` is set, the port to which the data transfer server binds.
clearDataTransferProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If set, the name of an alternative data transfer protocol for which the worker starts an additional server ("data transfer server"); the trainer can then get data from this server.
clearDatatype() - Method in class org.tensorflow.proto.SerializedDType.Builder: .tensorflow.DataType datatype = 1;
clearDcomplexVal() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
clearDebuggedDevice() - Method in class org.tensorflow.proto.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
clearDebuggedGraph() - Method in class org.tensorflow.proto.DebugEvent.Builder: Information about a debugged graph.
clearDebugInfo() - Method in class org.tensorflow.proto.GraphDef.Builder: Stack traces for the nodes in this graph.
clearDebugMetadata() - Method in class org.tensorflow.proto.DebugEvent.Builder: Metadata related to this debugging data.
clearDebugOps() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
clearDebugOptions() - Method in class org.tensorflow.proto.RunOptions.Builder: EXPERIMENTAL.
clearDebugStripper() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
clearDebugTensorWatchOpts() - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
clearDebugUrls() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: URL(s) for debug targets(s).
clearDefaults() - Method in class org.tensorflow.proto.SignatureDef.Builder
clearDefaultSessionConfig() - Method in class org.tensorflow.proto.ServerDef.Builder: The default configuration for sessions that run on this server.
clearDefaultValue() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
clearDefaultValue() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
clearDefaultValue() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
clearDeferred() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: True if the deallocation is queued and will be performed later, e.g. for GPU lazy freeing of buffers.
clearDeferredDeletionBytes() - Method in class org.tensorflow.proto.GPUOptions.Builder: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
clearDelayMs() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Start of profiling is delayed by this much (in milliseconds).
clearDenseShapeTensorName() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
clearDependencies() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
clearDependencyOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Control dependency optimizations (default is ON).
clearDeploymentMode() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder: .tensorflow.data.DeploymentMode deployment_mode = 1;
clearDeploymentMode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) tf.data service deployment mode.
clearDeprecated() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder: Set if this endpoint is deprecated.
clearDeprecation() - Method in class org.tensorflow.proto.OpDef.Builder: Optional deprecation based on GraphDef versions.
clearDeprecationMessage() - Method in class org.tensorflow.proto.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
clearDeprecationVersion() - Method in class org.tensorflow.proto.ApiDef.Builder: Major version when the op will be deleted.
clearDeprecationVersion() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder: Major version when an endpoint will be deleted.
clearDescription() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
clearDescription() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
clearDescription() - Method in class org.tensorflow.proto.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
clearDescription() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Human readable description.
clearDescription() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: Human-readable description.
clearDescription() - Method in class org.tensorflow.proto.OpDef.Builder: Additional, longer human-readable description of what the Op does.
clearDescription() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: Description of the stat (might be long).
clearDescriptionPrefix() - Method in class org.tensorflow.proto.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
clearDescriptionSuffix() - Method in class org.tensorflow.proto.ApiDef.Builder: string description_suffix = 10;
clearDestination() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Destination of graph transfer
clearDeterministic() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool deterministic = 1;
clearDevice() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The device of the node.
clearDevice() - Method in class org.tensorflow.proto.DeviceStepStats.Builder: string device = 1;
clearDevice() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Device where the tensor is located.
clearDevice() - Method in class org.tensorflow.proto.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
clearDevice() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Device on which the operation is run.
clearDevice() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Unique name for the device containing the resource.
clearDevice() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder: A device specification indicating a required placement for the resource creation function, e.g.
clearDevice() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: string device = 7;
clearDeviceCount() - Method in class org.tensorflow.proto.ConfigProto.Builder
clearDeviceFilters() - Method in class org.tensorflow.proto.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
clearDeviceFilters() - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder: repeated string device_filters = 1;
clearDeviceId() - Method in class org.tensorflow.proto.DebuggedDevice.Builder: A debugger-generated ID for the device.
clearDeviceId() - Method in class org.tensorflow.proto.InterconnectLink.Builder: int32 device_id = 1;
clearDeviceInfo() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
clearDeviceName() - Method in class org.tensorflow.proto.DebuggedDevice.Builder: Name of the device.
clearDeviceName() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Name of the device that the op belongs to.
clearDeviceName() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the device that the op is assigned to (if available).
clearDeviceOrdinal() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Virtual Device ordinal number determines the device ID of the device.
clearDevicePersistentMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: Deprecated.
tensorflow.OpPerformance.OpMemory.device_persistent_memory is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=115
clearDevicePersistentMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Deprecated.
tensorflow.CostGraphDef.Node.device_persistent_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=54
clearDevicePersistentMemorySize() - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_persistent_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=49
clearDevicePersistentTensorAllocIds() - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
clearDeviceTempMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: Deprecated.
tensorflow.OpPerformance.OpMemory.device_temp_memory is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=114
clearDeviceTempMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Deprecated.
tensorflow.CostGraphDef.Node.device_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=53
clearDeviceTempMemorySize() - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_temp_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=48
clearDeviceTracerLevel() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Levels of device tracing: (version >= 1) - Level 0 is used to disable device traces. - Level 1 is used to enable device traces. - More levels might be defined for specific device for controlling the verbosity of the trace.
clearDeviceType() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: String representation of device_type.
clearDeviceType() - Method in class org.tensorflow.proto.KernelDef.Builder: Type of device this kernel runs on.
clearDeviceType() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
clearDevStats() - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
clearDictValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a dict `Value`.
clearDim() - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
clearDimension() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder: Aggregated cost dimension (e.g.
clearDisableEagerExecutorStreamingEnqueue() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether eager remote execution will stream all the function calls or allow them to happen in parallel.
clearDisableFunctionalOpsLowering() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether functional control flow op lowering should be disabled.
clearDisableMetaOptimizer() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Disable the entire meta optimizer (off by default).
clearDisableModelPruning() - Method in class org.tensorflow.proto.RewriterConfig.Builder: If true, don't remove unnecessary ops from the graph
clearDisableOptimizeForStaticGraph() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, the session will treat the graph as being non-static for optimization purposes.
clearDisableOutputPartitionGraphs() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, the session will not store an additional copy of the graph for each subgraph.
clearDisableSessionConnectionSharing() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: Disables TCP connection sharing when opening a new RPC channel.
clearDisableTfgOptimizer() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Disable the TFG optimizer (off by default).
clearDisableThreadSpinning() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If using a direct session, disable spinning while waiting for work in the thread pool.
clearDisallowRetryOnAllocationFailure() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: By default, BFCAllocator may sleep when it runs out of memory, in the hopes that another thread will free up memory in the meantime.
clearDispatcherAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the dispatcher to register with.
clearDispatcherTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: How long to retry requests to the dispatcher before giving up and reporting an error.
clearDisplayId() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Display id of this line.
clearDisplayName() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Name of the event shown in trace viewer.
clearDisplayName() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Name of this XLine to display in trace viewer.
clearDisplayName() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
clearDistributeOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The distribution strategy options associated with the dataset.
clearDoCommonSubexpressionElimination() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: If true, optimize the graph using common subexpression elimination.
clearDoConstantFolding() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: If true, perform constant folding optimization on the graph.
clearDoFunctionInlining() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: If true, perform function inlining on the graph.
clearDoubleVal() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_DOUBLE.
clearDoubleValue() - Method in class org.tensorflow.proto.EntryValue.Builder: double double_value = 1;
clearDoubleValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: double double_value = 2;
clearDtype() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: The tensor dtype and shape.
clearDtype() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.DataType dtype = 2;
clearDtype() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
clearDtype() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The dtype of the component tensor.
clearDtype() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
clearDtype() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Tensor type.
clearDtype() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
clearDtype() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
clearDtype() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
clearDtype() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Data type of the tensor.
clearDtype() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.DataType dtype = 1;
clearDtype() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
clearDtype() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
clearDtype() - Method in class org.tensorflow.proto.TensorDescription.Builder: Data type of tensor elements
clearDtype() - Method in class org.tensorflow.proto.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
clearDtype() - Method in class org.tensorflow.proto.TensorProto.Builder: Data type of the tensor.
clearDtype() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
clearDtypesAndShapes() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
clearDurationMs() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: The local profiler collects `duration_ms` milliseconds of data.
clearDurationPs() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: Duration of the event in picoseconds.
clearDurationPs() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Profiling duration for this line in picoseconds.
clearElement() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
clearElementSpec() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder: Serialized element spec.
clearElementSpec() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder: The element spec of the snapshotted dataset.
clearEnable() - Method in class org.tensorflow.proto.AutoParallelOptions.Builder: bool enable = 1;
clearEnableBfloat16Sendrecv() - Method in class org.tensorflow.proto.GraphOptions.Builder: If true, transfer float values between processes as bfloat16.
clearEnabled() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: bool enabled = 1;
clearEnableHealthCheck() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Whether to enable the health check mechanism.
clearEnableHloProto() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Whether serialize hlo_proto when XLA is used.
clearEnableMlirBridge() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based TF->XLA bridge.
clearEnableMlirGraphOptimization() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based Graph optimizations.
clearEnableMultiHost() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, use Pathways with TFRT API for multi host support.
clearEnableOp() - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
clearEnableRecvScheduling() - Method in class org.tensorflow.proto.GraphOptions.Builder: If true, use control flow to schedule the activation of Recv nodes.
clearEncodedAudioString() - Method in class org.tensorflow.proto.Summary.Audio.Builder: Encoded audio data and its associated RFC 2045 content type (e.g.
clearEncodedImageString() - Method in class org.tensorflow.proto.Summary.Image.Builder: Image data in encoded format.
clearEncoding() - Method in class org.tensorflow.proto.TensorInfo.Builder
clearEndianness() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
clearEndpoint() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
clearEnqueueOpName() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of enqueue operations.
clearEntries() - Method in class org.tensorflow.proto.TestResults.Builder: The list of tests or benchmarks in this run.
clearEntry() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
clearEnvironment() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
clearEnvVars() - Method in class org.tensorflow.proto.RunConfiguration.Builder
clearErrors() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Errors (if any) in the generation of planes.
clearErrorSource() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder: .tensorflow.core.platform.ErrorSourceProto.ErrorSource error_source = 1;
clearEventMetadata() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
clearEvents() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
clearExecution() - Method in class org.tensorflow.proto.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
clearExecutionTime() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
clearExecutionTimeLogNormal() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
clearExecutionTimeNormal() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
clearExecutorType() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
clearExitCode() - Method in class org.tensorflow.proto.RequestedExitCode.Builder: int32 exit_code = 1;
clearExitCode() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
clearExperimental() - Method in class org.tensorflow.proto.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
clearExperimental() - Method in class org.tensorflow.proto.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
clearExperimental() - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
clearExperimentalConditionalCodeMotion() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Conditional code motion (default is ON).
clearExperimentalDebugInfo() - Method in class org.tensorflow.proto.NodeDef.Builder: This stores debug information associated with the node.
clearExperimentalDisableCompressedTensorOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Disable optimizations that assume compressed tensors.
clearExperimentalDisableFoldingQuantizationEmulation() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Disable folding quantization emulation ops such as FakeQuantWithMinMax* and QuantizeAndDequantize*.
clearExperimentalDistributedVariableComponents() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
clearExperimentalFullType() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Experimental.
clearExperimentalType() - Method in class org.tensorflow.proto.NodeDef.Builder: The complete type of this node.
clearExplanation() - Method in class org.tensorflow.proto.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
clearExtent() - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
clearExternalStatePolicy() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
clearExternalValues() - Method in class org.tensorflow.proto.ValuesDef.Builder
clearExtras() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
clearF() - Method in class org.tensorflow.proto.AttrValue.Builder: "float"
clearF() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(float)"
clearFailOnOptimizerErrors() - Method in class org.tensorflow.proto.RewriterConfig.Builder: If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
clearFaultTolerantMode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: Whether to run in fault tolerant mode, where dispatcher state is saved across restarts.
clearFeature() - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
clearFeature() - Method in class org.tensorflow.proto.Features.Builder
clearFeatureList() - Method in class org.tensorflow.proto.FeatureLists.Builder
clearFeatureLists() - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
clearFeatureMap() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
clearFeatures() - Method in class org.tensorflow.proto.Example.Builder: .tensorflow.Features features = 1;
clearFeed() - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be fed in the callable.
clearFeedDevices() - Method in class org.tensorflow.proto.CallableOptions.Builder
clearFetch() - Method in class org.tensorflow.proto.CallableOptions.Builder: Fetches.
clearFetchDevices() - Method in class org.tensorflow.proto.CallableOptions.Builder
clearFetchSkipSync() - Method in class org.tensorflow.proto.CallableOptions.Builder: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.AllocationDescription.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.AllocationRecord.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ApiDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ApiDefs.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.AssetFileDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.AttrValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.BuildConfiguration.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.BundleEntryProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.BytesList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CallableOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ClusterDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CodeLocation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CollectionDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CommitId.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CondContextDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ConfigProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CostGraphDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.CPUInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DebugEvent.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DebuggedDevice.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DebuggedGraph.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DebugMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DebugOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DeviceAttributes.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DeviceLocality.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.DeviceStepStats.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.EntryValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Event.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Example.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Execution.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Feature.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.FeatureList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.FeatureLists.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Features.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.FingerprintDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.FloatList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.FullTypeDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.FunctionDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GPUInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GPUOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GradientDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphOpCreation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.HistogramProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Int64List.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.InterconnectLink.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.JobDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.KernelDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.KernelList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.LocalLinks.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MachineConfiguration.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MemoryInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MemoryLogStep.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MemoryStats.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MetaGraphDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.MetricEntry.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.NameAttrList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.NamedTensorProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.NodeDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.NodeExecStats.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.NodeOutput.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpDeprecation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.OptimizerOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.PlatformInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ReaderBaseState.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.RegisteredGradient.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.RequestedExitCode.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.RewriterConfig.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.RunConfiguration.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.RunMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.RunOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedModel.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedSlice.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SaverDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SequenceExample.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SerializedDType.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ServerDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SessionLog.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SessionMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SignatureDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SourceFile.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SourceMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.StackFrameWithId.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.StatusProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.StepStats.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Struct.DictValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Struct.ListValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Struct.PairValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Summary.Audio.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Summary.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Summary.Image.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.Summary.Value.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SummaryDescription.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SummaryMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TensorConnection.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TensorDescription.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TensorInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TensorProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TensorShapeProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TensorSliceProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TestResults.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.ValuesDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.VariableDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.VerifierConfig.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.VersionDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.WatchdogConfig.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.WhileContextDef.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
clearField(Descriptors.FieldDescriptor) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
clearFields() - Method in class org.tensorflow.proto.Struct.DictValue.Builder
clearFileIndex() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: File name index, which can be used to retrieve the file name string from `files`.
clearFileLineCol() - Method in class org.tensorflow.proto.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
clearFileLineCols() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
clearFilename() - Method in class org.tensorflow.proto.AssetFileDef.Builder: The filename within an assets directory.
clearFilenameTensorName() - Method in class org.tensorflow.proto.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
clearFilePath() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Path to the source code file.
clearFilePath() - Method in class org.tensorflow.proto.SourceFile.Builder: Path to the file.
clearFiles() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
clearFileVersion() - Method in class org.tensorflow.proto.DebugMetadata.Builder: Version of the DebugEvent file format.
clearFileVersion() - Method in class org.tensorflow.proto.Event.Builder: An event file was started, with the specified version.
clearFilterFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool filter_fusion = 6;
clearFilterParallelization() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool filter_parallelization = 18;
clearFinalized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: bool finalized = 1000;
clearFixedLenFeature() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
clearFloat64Value() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a double-precision floating-point value (a Python `float`).
clearFloat8Val() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_FLOAT8_*, use variable-sized set of bytes (i.e. the equivalent of repeated uint8, if such a thing existed).
clearFloatList() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
clearFloatList() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.FloatList float_list = 2;
clearFloatVal() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_FLOAT.
clearForceDisable() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Disables coordination service.
clearForceGpuCompatible() - Method in class org.tensorflow.proto.GPUOptions.Builder: Force all tensors to be gpu_compatible.
clearFragmentationMetric() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: float fragmentation_metric = 5;
clearFrameId() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: repeated fixed64 frame_id = 2 [packed = true];
clearFramesById() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
clearFrameworkType() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: List of frameworks used to generate this dataset.
clearFreedAtCount() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: uint64 freed_at_count = 6;
clearFrequency() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Core Frequency in Mhz
clearFromTensor() - Method in class org.tensorflow.proto.TensorConnection.Builder: A tensor name.
clearFullargspec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
clearFullName() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
clearFullName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
clearFullShape() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of the full variable.
clearFunc() - Method in class org.tensorflow.proto.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
clearFunc() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
clearFunc() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Name of function contains the file line.
clearFunction() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
clearFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
clearFunctionAliases() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
clearFunctionGraph() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Optimized function graph.
clearFunctionGraphs() - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
clearFunctionName() - Method in class org.tensorflow.proto.GradientDef.Builder: The function name.
clearFunctionOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Function optimizations (default is ON).
clearFunctionSpec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
clearFunctionSpec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
clearGapTimes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: repeated uint64 gap_times = 6;
clearGcDynamicShardingJobs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: Whether dynamically sharded jobs should be eligible for garbage collection.
clearGlobalJitLevel() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
clearGlobalName() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder: The global name of the threadpool.
clearGlobalStep() - Method in class org.tensorflow.proto.DebugOptions.Builder: Caller-specified global step count.
clearGpuHostMemDisallowGrowth() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If true, then the host allocator allocates its max memory all upfront and never grows.
clearGpuHostMemLimitInMb() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: Memory limit for "GPU host allocator", aka pinned memory allocator.
clearGpuOptions() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all GPUs.
clearGpuSystemMemorySizeInMb() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: Memory limit for gpu system.
clearGradient() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
clearGradientFunc() - Method in class org.tensorflow.proto.GradientDef.Builder: The gradient function's name.
clearGradientFunc() - Method in class org.tensorflow.proto.RegisteredGradient.Builder: The gradient function's name.
clearGraphDef() - Method in class org.tensorflow.proto.Event.Builder: An encoded version of a GraphDef.
clearGraphDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: GraphDef.
clearGraphDefProgramHash() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of regularized graph_def.
clearGraphExecutionTrace() - Method in class org.tensorflow.proto.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
clearGraphHash() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
clearGraphId() - Method in class org.tensorflow.proto.DebugEvent.Builder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
clearGraphId() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: An ID for the graph.
clearGraphId() - Method in class org.tensorflow.proto.Execution.Builder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
clearGraphId() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Unique ID of the graph (generated by debugger).
clearGraphInputNodeInfo() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
clearGraphName() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Name of the graph (if available).
clearGraphName() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the graph that the op is a part of (if available).
clearGraphOpCreation() - Method in class org.tensorflow.proto.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
clearGraphOpName() - Method in class org.tensorflow.proto.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
clearGraphOptions() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all graphs.
clearGraphOutputNodeInfo() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
clearHalfVal() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
clearHandle() - Method in class org.tensorflow.proto.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
clearHandleData() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
clearHandleData() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
clearHasCheckpointValues() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Whether this object has checkpoint values or descendants with checkpoint values.
clearHash() - Method in class org.tensorflow.proto.CommitId.Builder: string hash = 2;
clearHashCode() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Hash code for the type of the resource.
clearHasLength() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
clearHasMinimum() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: For type == "int", this is a minimum value.
clearHasSingleReference() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Set if this tensor only has one remaining reference
clearHealthStatus() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: .tensorflow.WorkerHealth health_status = 1;
clearHeartbeatIntervalMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: How often the worker should heartbeat to the master.
clearHeartbeatTimeoutInMs() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Heartbeat timeout, if a task does not record heartbeat in this time window, it will be considered disconnected.
clearHeight() - Method in class org.tensorflow.proto.Summary.Image.Builder: Dimensions of the image.
clearHisto() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
clearHost() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: The host name on which a source code file is located.
clearHostMemoryArg() - Method in class org.tensorflow.proto.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
clearHostname() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Host name of machine that ran the benchmark.
clearHostname() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: string hostname = 3;
clearHostName() - Method in class org.tensorflow.proto.CodeLocation.Builder: Host name on which the source files are located.
clearHostName() - Method in class org.tensorflow.proto.SourceFile.Builder: Name of the host on which the file is located.
clearHostnames() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: List of hostnames that XPlanes are generated from.
clearHostTempMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Deprecated.
tensorflow.CostGraphDef.Node.host_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=52
clearHostTracerLevel() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Levels of host tracing: (version >= 1) - Level 0 is used to disable host traces. - Level 1 enables tracing of only user instrumented (or default) TraceMe. - Level 2 enables tracing of all level 1 TraceMe(s) and instrumented high level program execution details (expensive TF ops, XLA ops, etc).
clearI() - Method in class org.tensorflow.proto.AttrValue.Builder: "int"
clearI() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(int)"
clearI() - Method in class org.tensorflow.proto.FullTypeDef.Builder: TODO(mdan): list/tensor, map?
clearId() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The id of the node.
clearId() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Unique node ID.
clearId() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XPlane.event_metadata map key.
clearId() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Id of this line, can be repeated within an XPlane.
clearId() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: int64 id = 1;
clearId() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: XPlane.stat_metadata map key.
clearId() - Method in class org.tensorflow.proto.StackFrameWithId.Builder: A unique ID for the stack frame: A UUID-like string.
clearIdCounter() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: Counter for node IDs of this model.
clearIdentifier() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Corresponds to a registration of the type to use in the loading program.
clearImage() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
clearImplementationSelector() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Enable the swap of kernel implementations based on the device placement (default is ON).
clearInaccurate() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Are the costs inaccurate?
clearInArg() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
clearIncarnation() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: A device is assigned a global unique number each time it is initialized.
clearIncludeDatasetOps() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: We don't collect the dataset ops by default for better trace-viewer scalability.
clearIndex() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Index of the output being set.
clearIndicesOutputTensorName() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
clearIndicesTensorName() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?
clearInferShapes() - Method in class org.tensorflow.proto.GraphOptions.Builder: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
clearInitializerName() - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the initializer op.
clearInitialParallelism() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: int64 initial_parallelism = 5;
clearInitialValueName() - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the tensor holding the variable's initial value.
clearInjectPrefetch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool inject_prefetch = 19;
clearInput() - Method in class org.tensorflow.proto.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
clearInputArg() - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
clearInputBatchDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents batch in the input.
clearInputCount() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 input_count = 6;
clearInputFeatureDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents features in the input.
clearInputInfo() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
clearInputNames() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Names of the input tensors to the op.
clearInputProcessingTimeCount() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: int64 input_processing_time_count = 13;
clearInputProcessingTimeSum() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Statistic of inputs processing time history.
clearInputs() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: IDs of inputs of this node.
clearInputs() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
clearInputs() - Method in class org.tensorflow.proto.SignatureDef.Builder
clearInputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: The input signature, if specified.
clearInputSpatialDimensions() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the input.
clearInputTensorIds() - Method in class org.tensorflow.proto.Execution.Builder: IDs of the input tensors (if available).
clearInputTensorsAsShapesNeeded() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_as_shapes_needed = 2;
clearInputTensorsNeeded() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_needed = 1;
clearInstrumentedGraphDef() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: An encoded version of a GraphDef.
clearInstrumentedOps() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Names of the instrumented ops.
clearInt64List() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
clearInt64List() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.Int64List int64_list = 3;
clearInt64Val() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT64
clearInt64Value() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: int64 int64_value = 4;
clearInt64Value() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a signed integer value, limited to 64 bits.
clearInternalFragmentationFraction() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: BFC Allocator can return an allocated chunk of memory upto 2x the requested size.
clearInterOpParallelismThreads() - Method in class org.tensorflow.proto.ConfigProto.Builder: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process. 0 means the system picks an appropriate number.
clearInterOpThreadPool() - Method in class org.tensorflow.proto.RunOptions.Builder: The thread pool to use, if session_inter_op_thread_pool is configured.
clearInterOptimizerVerifierConfig() - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
clearIntraOpParallelism() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder: int64 intra_op_parallelism = 1;
clearIntraOpParallelismThreads() - Method in class org.tensorflow.proto.ConfigProto.Builder: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads. 0 means the system picks an appropriate number.
clearIntVal() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
clearInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: bool in_use = 8;
clearIsAggregate() - Method in class org.tensorflow.proto.OpDef.Builder: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
clearIsCommutative() - Method in class org.tensorflow.proto.OpDef.Builder: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
clearIsDistributedCommunication() - Method in class org.tensorflow.proto.OpDef.Builder: Indicates whether the op implementation uses distributed communication.
clearIsFinal() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
clearIsMethod() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: Whether this represents a class method.
clearIsolateSessionState() - Method in class org.tensorflow.proto.ConfigProto.Builder: If true, any resources such as Variables used in the session will not be shared with other sessions.
clearIsRef() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: For inputs: if true, the inputs are required to be refs.
clearIsResource() - Method in class org.tensorflow.proto.VariableDef.Builder: Whether to represent this as a ResourceVariable.
clearIsSet() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: bool is_set = 1;
clearIsStateful() - Method in class org.tensorflow.proto.OpDef.Builder: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. variable reading op) or if they have a side-effect (e.g. printing or asserting ops).
clearIters() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: If a benchmark, how many iterations it was run for
clearJitCompile() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
clearJob() - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
clearJobGcCheckIntervalMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How often the dispatcher should scan through to delete old and unused jobs.
clearJobGcTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long a job needs to be unused before it becomes a candidate for garbage collection.
clearJobName() - Method in class org.tensorflow.proto.ServerDef.Builder: The name of the job of which this server is a member.
clearJobs() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
clearKeepCheckpointEveryNHours() - Method in class org.tensorflow.proto.SaverDef.Builder: How often to keep an additional checkpoint.
clearKernel() - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
clearKernelInputFeatureDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents input features in the kernel (rhs).
clearKernelName() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
clearKernelName() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
clearKernelOutputFeatureDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents output features in the kernel (rhs).
clearKernelSpatialDimensions() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the kernel (rhs).
clearKernelTrackerMaxBytes() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.
clearKernelTrackerMaxInterval() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: Parameters for GPUKernelTracker.
clearKernelTrackerMaxPending() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.
clearKey() - Method in class org.tensorflow.proto.Struct.PairValue.Builder: string key = 1;
clearKind() - Method in class org.tensorflow.proto.CollectionDef.Builder
clearKind() - Method in class org.tensorflow.proto.CommitId.Builder
clearKind() - Method in class org.tensorflow.proto.EntryValue.Builder
clearKind() - Method in class org.tensorflow.proto.Feature.Builder
clearKind() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
clearKind() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
clearL1CacheSize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: L1 cache size in bytes
clearL2CacheSize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: L2 cache size in bytes
clearL3CacheSize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: L3 cache size in bytes
clearLabel() - Method in class org.tensorflow.proto.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
clearLargestAllocSize() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: int64 largest_alloc_size = 4;
clearLastModified() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: The timestamp at which the source code file is last modified.
clearLayoutOptimizer() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
clearLength() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder: uint64 length = 3;
clearLength() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder: int64 length = 2;
clearLengthFrames() - Method in class org.tensorflow.proto.Summary.Audio.Builder: Length of the audio in frames (samples per channel).
clearLevel() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
clearLibrary() - Method in class org.tensorflow.proto.GraphDef.Builder: "library" provides user-defined functions.
clearLine() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Line number in the file.
clearLines() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
clearLines() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
clearLines() - Method in class org.tensorflow.proto.SourceFile.Builder: Line-by-line content of the file.
clearLink() - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
clearLinkage() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
clearLinks() - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional local interconnect links to other devices.
clearList() - Method in class org.tensorflow.proto.AttrValue.Builder: any "list(...)"
clearListValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a list of `Value`.
clearLiveBytes() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The bytes that are not deallocated.
clearLocality() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
clearLocalName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: A user-provided name for the edge.
clearLogDevicePlacement() - Method in class org.tensorflow.proto.ConfigProto.Builder: Whether device placements should be logged.
clearLogMessage() - Method in class org.tensorflow.proto.Event.Builder: Deprecated.
clearLoopEnterNames() - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for enter tensors.
clearLoopExitNames() - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for exit tensors.
clearLoopOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Loop optimizations (default is ON).
clearMachine() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
clearMachineConfiguration() - Method in class org.tensorflow.proto.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
clearMapAndBatchFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_and_batch_fusion = 9;
clearMapAndFilterFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_and_filter_fusion = 10;
clearMapFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_fusion = 11;
clearMapParallelization() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_parallelization = 12;
clearMax() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Maximum value of the parameter.
clearMax() - Method in class org.tensorflow.proto.HistogramProto.Builder: double max = 2;
clearMaxByteSize() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
clearMaxFoldedConstantInBytes() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
clearMaximum() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
clearMaximumIterationsName() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
clearMaxIntraOpParallelism() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder: int32 max_intra_op_parallelism = 1;
clearMaxSessionDurationMs() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Maximum time (in milliseconds) a profiling session manager waits for all profilers to finish after issuing gRPC request.
clearMaxToKeep() - Method in class org.tensorflow.proto.SaverDef.Builder: Maximum number of checkpoints to keep.
clearMaxValue() - Method in class org.tensorflow.proto.MetricEntry.Builder: The maximum acceptable value for the metric if specified
clearMaybeTypeName() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
clearMemory() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
clearMemoryEfficiency() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Percentage of theoretical memory performance.
clearMemoryInfo() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
clearMemoryLimit() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Memory capacity in bytes.
clearMemoryLimit() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Memory capacity of device in bytes.
clearMemoryLimitMb() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
clearMemoryOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
clearMemoryOptimizerTargetNodeNameScope() - Method in class org.tensorflow.proto.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recomputations.
clearMemoryRatio() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Ratio identifies how many parallelism calls are introduced by one buffered element.
clearMemorySize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Memory size in bytes
clearMemoryStats() - Method in class org.tensorflow.proto.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
clearMemoryTime() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Analytical estimate of the memory access cost of this node, in microseconds.
clearMemoryTime() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Analytical memory access cost (in nanoseconds).
clearMergeDeviceToDeviceStream() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder: If true, the compute stream will be used for device_to_device copy as well.
clearMergeDeviceToHostStream() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder: If true, the compute stream will be used for device_to_host copy as well.
clearMergeHostToDeviceStream() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder: If true, the compute stream will be used for host_to_device copy as well.
clearMessage() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.

string message = 2;
clearMessage() - Method in class org.tensorflow.proto.StatusProto.Builder: Detail error message.
clearMeta() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
clearMetadata() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Additional metadata in serialized format.
clearMetadata() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Deprecated.
tensorflow.SavedUserObject.metadata is deprecated. See tensorflow/core/protobuf/saved_object_graph.proto;l=123
clearMetadata() - Method in class org.tensorflow.proto.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
clearMetadata() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Portions of the object that are not Tensors.
clearMetadataId() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XEventMetadata.id of corresponding metadata.
clearMetadataId() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: XStatMetadata.id of corresponding metadata.
clearMetaGraphDef() - Method in class org.tensorflow.proto.Event.Builder: An encoded version of a MetaGraphDef.
clearMetaGraphs() - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
clearMetaGraphVersion() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
clearMetaInfoDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
clearMetaOptimizerIterations() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
clearMetaOptimizerTimeoutMs() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Maximum number of milliseconds to spend optimizing a single graph before timing out.
clearMethodName() - Method in class org.tensorflow.proto.SignatureDef.Builder: Deprecated: TensorFlow 2 always sets this to a fixed value; open-source TF Serving stopped checking by default since release 2.4.
clearMetrics() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
clearMhzPerCpu() - Method in class org.tensorflow.proto.CPUInfo.Builder: How fast are these cpus?
clearMin() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Minimum value of the parameter.
clearMin() - Method in class org.tensorflow.proto.HistogramProto.Builder: double min = 1;
clearMinConsumer() - Method in class org.tensorflow.proto.VersionDef.Builder: Any consumer below this version is not allowed to consume this data.
clearMinGraphNodes() - Method in class org.tensorflow.proto.RewriterConfig.Builder: The minimum number of nodes in a graph to optimizer.
clearMinimum() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: int64 minimum = 6;
clearMinimum() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
clearMinValue() - Method in class org.tensorflow.proto.MetricEntry.Builder: The minimum acceptable value for the metric if specified
clearMlirBridgeRollout() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based TF->XLA bridge.
clearMode() - Method in class org.tensorflow.proto.BuildConfiguration.Builder: opt, dbg, etc
clearModel() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Model (Haswell, K40, ...)
clearModel() - Method in class org.tensorflow.proto.GPUInfo.Builder: e.g.
clearModelInputTime() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Time between two consecutive `GetNext` calls to the iterator represented by the output node.
clearMsg() - Method in class org.tensorflow.proto.SessionLog.Builder: string msg = 3;
clearMu() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder: double mu = 1;
clearMu() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder: double mu = 1;
clearName() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
clearName() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Device name.
clearName() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: The name of the specific benchmark or test (e.g.
clearName() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The name of the node.
clearName() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder: bytes name = 1;
clearName() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Human-readable name of the node.
clearName() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Human-readable name of the parameter.
clearName() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
clearName() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.JobDef.Builder: The name of this job.
clearName() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: The name of this job.
clearName() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
clearName() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder: string name = 2;
clearName() - Method in class org.tensorflow.proto.MetricEntry.Builder: Metric name
clearName() - Method in class org.tensorflow.proto.NameAttrList.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.NamedTensorProto.Builder: Name of the tensor.
clearName() - Method in class org.tensorflow.proto.NodeDef.Builder: The name given to this operator.
clearName() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Name for the input/output.
clearName() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A descriptive name for the argument.
clearName() - Method in class org.tensorflow.proto.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
clearName() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Function name.
clearName() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Name of the event.
clearName() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Name of this XLine.
clearName() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Name of this XPlane.
clearName() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: Name of the stat (should be short).
clearName() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Unique name of this resource.
clearName() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder: Name of captured tensor
clearName() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: string name = 6;
clearName() - Method in class org.tensorflow.proto.SavedSlice.Builder: Name of the tensor that this slice belongs to.
clearName() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Name of the tensor.
clearName() - Method in class org.tensorflow.proto.SessionMetadata.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: string name = 1;
clearName() - Method in class org.tensorflow.proto.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
clearName() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
clearName() - Method in class org.tensorflow.proto.TestResults.Builder: Benchmark target identifier.
clearName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder: The name of the registered saver/restore function.
clearName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: A name for the Tensor.
clearNamedTupleValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents Python's namedtuple.
clearNameToTraceId() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
clearNestedContexts() - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
clearNestedContexts() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
clearNode() - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
clearNode() - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
clearNode() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The node name (optional).
clearNodeClass() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Class of this node.
clearNodeDef() - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
clearNodeId() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: node_id for use when creating a PjRt GPU client with remote devices, which enumerates jobs*tasks from a ServerDef.
clearNodeId() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: int32 node_id = 2;
clearNodeId() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 node_id = 2;
clearNodeId() - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder: int32 node_id = 1;
clearNodeId() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: int32 node_id = 1;
clearNodeId() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder: int32 node_id = 1;
clearNodeId() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the object being referenced.
clearNodeInfo() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
clearNodeInput() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
clearNodeInputInfo() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
clearNodeList() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
clearNodeName() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name of the node to watch.
clearNodeName() - Method in class org.tensorflow.proto.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
clearNodeName() - Method in class org.tensorflow.proto.Summary.Value.Builder: This field is deprecated and will not be set.
clearNodeNameToControlRet() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
clearNodeOutputInfo() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
clearNodes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
clearNodes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
clearNodes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
clearNodeStats() - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
clearNoneValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents None.
clearNoopElimination() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool noop_elimination = 14;
clearNum() - Method in class org.tensorflow.proto.HistogramProto.Builder: double num = 3;
clearNumAllocs() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: int64 num_allocs = 1;
clearNumaNode() - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional NUMA locality of device.
clearNumberAttr() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: if specified, attr must have type "int"
clearNumBytes() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Number of bytes in the allocation.
clearNumChannels() - Method in class org.tensorflow.proto.Summary.Audio.Builder: Number of channels of audio.
clearNumChannelsPerTarget() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: Setting num_channels_per_target > 0 allows uses of multiple channels to communicate to the same target.
clearNumCores() - Method in class org.tensorflow.proto.CPUInfo.Builder: int64 num_cores = 1;
clearNumCores() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Number of cores
clearNumCoresAllowed() - Method in class org.tensorflow.proto.CPUInfo.Builder: int64 num_cores_allowed = 2;
clearNumDevices() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder: int32 num_devices = 2;
clearNumDevToDevCopyStreams() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
clearNumElements() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: The number of elements in the snapshot.
clearNumElements() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of elements produced by the node.
clearNumFlatComponents() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The number of flat tensor components required by this TypeSpec.
clearNumOccurrences() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: Number of occurrences of the event, if aggregated.
clearNumOutputs() - Method in class org.tensorflow.proto.Execution.Builder: Number of output tensors.
clearNumOutputs() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Number of output tensors emitted by the op.
clearNumpyValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for np.ndarray.
clearNumRecordsProduced() - Method in class org.tensorflow.proto.ReaderBaseState.Builder: int64 num_records_produced = 3;
clearNumRegisters() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Number of registers per core.
clearNumReplicas() - Method in class org.tensorflow.proto.AutoParallelOptions.Builder: int32 num_replicas = 2;
clearNumReturnNodes() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Number of return nodes.
clearNumShards() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: Number of data files in the bundle.
clearNumTasks() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder: int32 num_tasks = 2;
clearNumThreads() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder: The number of threads in the pool. 0 means the system picks a value based on where this option proto is used (see the declaration of the specific field for more info).
clearNumVirtualDevicesPerGpu() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The number of virtual devices to create on each visible GPU.
clearObjectGraphDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
clearObjectName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder: Unique auto-generated name of the object.
clearObsoleteOldStyleHistogram() - Method in class org.tensorflow.proto.Summary.Value.Builder: bytes obsolete_old_style_histogram = 3;
clearOffset() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: int64 offset = 4;
clearOffset() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder: uint64 offset = 1;
clearOffsetPs() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.AllocationDescription.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.AllocationRecord.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ApiDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ApiDefs.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.AssetFileDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.AttrValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.BuildConfiguration.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.BundleEntryProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.BytesList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CallableOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ClusterDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CodeLocation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CollectionDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CommitId.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CondContextDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ConfigProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CostGraphDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.CPUInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DebugEvent.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DebuggedDevice.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DebuggedGraph.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DebugMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DebugOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DeviceAttributes.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DeviceLocality.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.DeviceStepStats.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.EntryValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Event.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Example.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Execution.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Feature.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.FeatureList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.FeatureLists.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Features.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.FingerprintDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.FloatList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.FullTypeDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.FunctionDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GPUInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GPUOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GradientDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphOpCreation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.HistogramProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Int64List.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.InterconnectLink.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.JobDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.KernelDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.KernelList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.LocalLinks.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MachineConfiguration.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MemoryInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MemoryLogStep.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MemoryStats.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MetaGraphDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.MetricEntry.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.NameAttrList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.NamedTensorProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.NodeDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.NodeExecStats.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.NodeOutput.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpDeprecation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.OptimizerOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.PlatformInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ReaderBaseState.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.RegisteredGradient.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.RequestedExitCode.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.RewriterConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.RunConfiguration.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.RunMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.RunOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedModel.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedSlice.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SaverDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SequenceExample.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SerializedDType.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ServerDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SessionLog.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SessionMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SignatureDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SourceFile.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SourceMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.StackFrameWithId.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.StatusProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.StepStats.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Struct.DictValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Struct.ListValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Struct.PairValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Summary.Audio.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Summary.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Summary.Image.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.Summary.Value.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SummaryDescription.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SummaryMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TensorConnection.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TensorDescription.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TensorInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TensorProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TensorShapeProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TensorSliceProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TestResults.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.ValuesDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.VariableDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.VerifierConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.VersionDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.WatchdogConfig.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.WhileContextDef.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
clearOp() - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
clearOp() - Method in class org.tensorflow.proto.KernelDef.Builder: Must match the name of an Op.
clearOp() - Method in class org.tensorflow.proto.NodeDef.Builder: The operation name.
clearOp() - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
clearOp() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: The operation name.
clearOp() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The op
clearOpDevice() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Device of the operation producing this tensor.
clearOpEndRelMicros() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 op_end_rel_micros = 4;
clearOpEndRelNanos() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 op_end_rel_nanos = 15;
clearOperation() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
clearOperation() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
clearOperation() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
clearOperationTimeoutInMs() - Method in class org.tensorflow.proto.ConfigProto.Builder: Global timeout for all blocking operations in this session.
clearOpId() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: The ID of the operation that produced this tensor.
clearOpMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
clearOpName() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: string op_name = 5;
clearOpName() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
clearOpName() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the op (e.g., "Dense/MatMul_1").
clearOpPerformance() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
clearOpStartRelMicros() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 op_start_rel_micros = 3;
clearOpStartRelNanos() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 op_start_rel_nanos = 14;
clearOptimizationOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The optimization options associated with the dataset.
clearOptimizationParams() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
clearOptimizationTimeUsecs() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Time (in microseconds) spent on running the graph optimization passes for this function.
clearOptimizeForStaticGraph() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, the session may treat the graph as being static for optimization purposes.
clearOptimizerOptions() - Method in class org.tensorflow.proto.GraphOptions.Builder: Options controlling how graph is optimized.
clearOptimizers() - Method in class org.tensorflow.proto.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
clearOptionalApplyDefaultOptimizations() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOptionalAutotuneAlgorithm() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
clearOptionalCpuBudget() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
clearOptionalDatasetName() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
clearOptionalDeterministic() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
clearOptionalElementSpec() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
clearOptionalEnabled() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
clearOptionalExternalStatePolicy() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
clearOptionalFilterFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOptionalFilterParallelization() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOptionalInitialParallelism() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
clearOptionalInjectPrefetch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOptionalMapAndBatchFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOptionalMapAndFilterFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOptionalMapFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOptionalMapParallelization() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOptionalMaxIntraOpParallelism() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
clearOptionalNoopElimination() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOptionalNumDevices() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
clearOptionalParallelBatch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOptionalPinned() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
clearOptionalPrivateThreadpoolSize() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
clearOptionalRamBudget() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
clearOptionalSeqInterleavePrefetch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOptionalShuffleAndRepeatFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clearOptionalSlack() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
clearOptionalSymbolicCheckpoint() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
clearOptionalWarmStart() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
clearOptLevel() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: Overall optimization level.
clearOpts() - Method in class org.tensorflow.proto.BuildConfiguration.Builder: Bazel compilation options, if known
clearOpType() - Method in class org.tensorflow.proto.Execution.Builder: Op type (e.g., "MatMul").
clearOpType() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Type of the op (e.g., "MatMul").
clearOriginalFuncNames() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
clearOriginalGraphDef() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Original (uninstrumented) GraphDef (if available).
clearOriginalNodeNames() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
clearOriginalVariableNodeId() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the variable object this slot was created for.
clearOutArg() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
clearOuterContextId() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: IDs of the immediate enclosing context (graph), if any.
clearOutput() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: ID of the output node of this model.
clearOutput() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
clearOutputArg() - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
clearOutputBatchDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents batch in the output.
clearOutputCount() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 output_count = 7;
clearOutputFeatureDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents features in the output.
clearOutputInfo() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
clearOutputMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
clearOutputNum() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: The index into the outputs of the operation that produced this tensor.
clearOutputPartitionGraphs() - Method in class org.tensorflow.proto.RunOptions.Builder: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
clearOutputPort() - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder: int32 output_port = 2;
clearOutputs() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
clearOutputs() - Method in class org.tensorflow.proto.SignatureDef.Builder
clearOutputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
clearOutputSlot() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Output slot to watch.
clearOutputSlot() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Output slot of the tensor (applicable only in the case of the `FULL_TENSOR` trace level).
clearOutputSpatialDimensions() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the output.
clearOutputTensorDeviceIds() - Method in class org.tensorflow.proto.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
clearOutputTensorIds() - Method in class org.tensorflow.proto.Execution.Builder: IDs of the output tensors (if availbable).
clearOutputTensorIds() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
clearPaddingId() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 padding_id = 5;
clearParallelBatch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool parallel_batch = 15;
clearParallelIterations() - Method in class org.tensorflow.proto.WhileContextDef.Builder: The number of iterations allowed to run in parallel.
clearParameterMap() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
clearParameters() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
clearPartitionGraphs() - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
clearPartitionGraphs() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
clearPayloads() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
clearPeakBytes() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: int64 peak_bytes = 3;
clearPeakBytesInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: int64 peak_bytes_in_use = 3;
clearPendingChangelist() - Method in class org.tensorflow.proto.CommitId.Builder: Changelist tested if the change list is not already submitted.
clearPerProcessGpuMemoryFraction() - Method in class org.tensorflow.proto.GPUOptions.Builder: Fraction of the total GPU memory to allocate for each process. 1 means to allocate all of the GPU memory, 0.5 means the process allocates up to ~50% of the total GPU memory.
clearPersistentMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: int64 persistent_memory = 4;
clearPersistentMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Persistent memory used by this node.
clearPersistentMemorySize() - Method in class org.tensorflow.proto.MemoryStats.Builder: int64 persistent_memory_size = 3;
clearPersistentTensorAllocIds() - Method in class org.tensorflow.proto.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
clearPhysicalDescription() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: The physical description of this device.
clearPhysicalDeviceDesc() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
clearPinned() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder: bool pinned = 1;
clearPinToHostOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Force small ops onto the CPU (default is OFF).
clearPivotForBodyName() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot_for_body tensor.
clearPivotForPredName() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
clearPivotName() - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the pivot tensor.
clearPivotName() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot tensor.
clearPlaceholder() - Method in class org.tensorflow.proto.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
clearPlacementPeriod() - Method in class org.tensorflow.proto.ConfigProto.Builder: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
clearPlacePrunedGraph() - Method in class org.tensorflow.proto.GraphOptions.Builder: Only place the subgraphs that are run, rather than the entire graph.
clearPlanes() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
clearPlatformInfo() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Additional platform information.
clearPluggableDeviceOptions() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to pluggable devices.
clearPluginData() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
clearPluginName() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
clearPollForErrorFromServiceAtStartup() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Use long polling to get error from coordination service as the error propagation mechanism.
clearPollingActiveDelayUsecs() - Method in class org.tensorflow.proto.GPUOptions.Builder: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
clearPollingInactiveDelayMsecs() - Method in class org.tensorflow.proto.GPUOptions.Builder: This field is deprecated and ignored.
clearPopulatePjrtGpuClientCreationInfo() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If true, save information needed for created a PjRt GPU client for creating a client with remote devices.
clearPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The port for the dispatcher to bind to.
clearPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The port for the worker to bind to.
clearPort() - Method in class org.tensorflow.proto.ServerDef.Builder: The server port.
clearPostOptimizationGraph() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
clearPostOptimizationVerifierConfig() - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
clearPrecedingNode() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder: int32 preceding_node = 1;
clearPrecedingPort() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder: int32 preceding_port = 2;
clearPredName() - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the pred tensor.
clearPreOptimizationGraph() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
clearPriority() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
clearPriority() - Method in class org.tensorflow.proto.KernelDef.Builder: Prioritization of kernel amongst different devices.
clearPriority() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder: Priority of the request.
clearPrivateThreadpoolSize() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder: int32 private_threadpool_size = 2;
clearProcessingTime() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The aggregate processing time spent in this node in nanoseconds.
clearProducer() - Method in class org.tensorflow.proto.VersionDef.Builder: The version of the code that produced this data.
clearProfilerOptions() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
clearProperties() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
clearProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The protocol for the dispatcher to use when connecting to workers.
clearProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when connecting to the dispatcher.
clearProtocol() - Method in class org.tensorflow.proto.ServerDef.Builder: The protocol to be used by this server.
clearPtr() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Address of the allocation.
clearPtr() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Address of the allocation.
clearPythonTracerLevel() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Whether enable python function calls tracing.
clearQueueClosedExceptionTypes() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
clearQueueName() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: Queue name.
clearRamBudget() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: int64 ram_budget = 3;
clearRamBudget() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Amount of available memory in bytes.
clearRatio() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Ratio of input to output elements.
clearRecordMetrics() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: An indication whether this node records metrics about produced and consumed elements.
clearRecoverableJobs() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: The list of jobs which are recoverable.
clearRecvBufMaxChunk() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Guidance to formatting of large RecvBuf fields for transfer.
clearReferencedTensor() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
clearRefValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: A string value that stored in XStatMetadata::name.
clearRegisteredGradients() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
clearRegisteredName() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The name of the registered class of the form "{package}.
clearRegisteredOpType() - Method in class org.tensorflow.proto.RegisteredGradient.Builder: The gradient function's registered op type.
clearRegisteredSaver() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: String name of the registered saver.
clearRegisteredSaver() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: The registered saver used to save this object.
clearRelease() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '3.13.0-76-generic'
clearRemapping() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
clearRenameTo() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
clearRenameTo() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
clearReplica() - Method in class org.tensorflow.proto.ServerDef.Builder: Replica this server manages.
clearReportTensorAllocationsUponOom() - Method in class org.tensorflow.proto.RunOptions.Builder: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
clearRepositoryPath() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Directory to save profile data to.
clearRequestedBytes() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Total number of bytes requested
clearRequestedSize() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: int64 requested_size = 3;
clearResetDiskByteUsage() - Method in class org.tensorflow.proto.DebugOptions.Builder: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
clearResource() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
clearResourceArgUniqueId() - Method in class org.tensorflow.proto.FunctionDef.Builder
clearResourceDtypesAndShapes() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
clearResourceHandleVal() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
clearRestoreFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder: int32 restore_function = 3;
clearRestoreOpName() - Method in class org.tensorflow.proto.SaverDef.Builder: The operation to run when restoring a model checkpoint.
clearRet() - Method in class org.tensorflow.proto.FunctionDef.Builder
clearRetTypes() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Return node types of the function.
clearRewriteOptions() - Method in class org.tensorflow.proto.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
clearRpcOptions() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
clearRunConfiguration() - Method in class org.tensorflow.proto.TestResults.Builder: Run-specific parameters (arguments, etc)
clearRunHandlerPoolOptions() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
clearRunId() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Run ID that this snapshot corresponds to.
clearRunMetadata() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder: Byte-encoded version of the `RunMetadata` proto in order to allow lazy deserialization.
clearRunMode() - Method in class org.tensorflow.proto.TestResults.Builder: Used for differentiating between continuous and debug builds.
clearRunOptions() - Method in class org.tensorflow.proto.CallableOptions.Builder: Options that will be applied to each run.
clearRunTime() - Method in class org.tensorflow.proto.TestResults.Builder: The amount of time the total run took (wall time in seconds)
clearS() - Method in class org.tensorflow.proto.AttrValue.Builder: "string"
clearS() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(string)"
clearS() - Method in class org.tensorflow.proto.FullTypeDef.Builder: string s = 3;
clearSampleRate() - Method in class org.tensorflow.proto.Summary.Audio.Builder: Sample rate of the audio in Hz.
clearSaveableObjects() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
clearSavedModelChecksum() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of the saved_model.pb, referred to as a "checksum".
clearSavedModelSchemaVersion() - Method in class org.tensorflow.proto.SavedModel.Builder: The schema version of the SavedModel instance.
clearSavedObjectGraphHash() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of the regularized SavedObjectGraph.
clearSaveFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder: Node ids of concrete functions for saving and loading from a checkpoint.
clearSaverDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: SaverDef.
clearSaveSliceInfoDef() - Method in class org.tensorflow.proto.VariableDef.Builder: Support for saving variables as slices of a larger variable.
clearSaveTensorName() - Method in class org.tensorflow.proto.SaverDef.Builder: The operation to run when saving a model checkpoint.
clearScheduledMicros() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 scheduled_micros = 9;
clearScheduledNanos() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 scheduled_nanos = 17;
clearScomplexVal() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
clearScopedAllocatorOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
clearScopedAllocatorOpts() - Method in class org.tensorflow.proto.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
clearSeqInterleavePrefetch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool seq_interleave_prefetch = 21;
clearSerialIdentifier() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Unique serial number of the machine.
clearSerializedUserProto() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
clearServiceAddresses() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
clearServiceLeader() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Address where the coordination service instance is hosted.
clearServiceOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The tf.data service options associated with the dataset.
clearServiceType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Type of coordination service implementation to enable.
clearSessionCreationTimestampNs() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Unix timestamp of when the session was started.
clearSessionInfo() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Information about the session configs.
clearSessionInfo() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Deprecated.
clearSessionInterOpThreadPool() - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
clearSessionLog() - Method in class org.tensorflow.proto.Event.Builder: The state of the session which can be used for restarting after crashes.
clearSessionMetadata() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Metadata about the session.
clearSessionMetadata() - Method in class org.tensorflow.proto.RunMetadata.Builder: Metadata about the session.
clearShape() - Method in class org.tensorflow.proto.AttrValue.Builder: "shape"
clearShape() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
clearShape() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.TensorShapeProto shape = 1;
clearShape() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.TensorShapeProto shape = 1;
clearShape() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
clearShape() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
clearShape() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
clearShape() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
clearShape() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Shape of the tensor.
clearShape() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Shape of the tensor
clearShape() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
clearShape() - Method in class org.tensorflow.proto.TensorDescription.Builder: Shape of the tensor.
clearShapeAndType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
clearShapeOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
clearShapesOutputTensorName() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
clearSharded() - Method in class org.tensorflow.proto.SaverDef.Builder: Shard the save files, one per device that has Variable nodes.
clearShardId() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
clearShardingPolicy() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
clearShareClusterDevicesInSession() - Method in class org.tensorflow.proto.ConfigProto.Builder: When true, WorkerSessions are created with device attributes from the full cluster.
clearShareClusterDevicesInSession() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: This was promoted to a non-experimental API.
clearSharedMemorySizePerMultiprocessor() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Shared memory size per multiprocessor in bytes.
clearShareSessionStateInClusterspecPropagation() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server.
clearShuffleAndRepeatFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool shuffle_and_repeat_fusion = 17;
clearShutdownBarrierTimeoutInMs() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Denotes how long to wait for all coordination agents to reach the barriers (after the first shutdown request) before disconnecting together.
clearShutdownMode() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
clearShutdownQuietPeriodMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: When shutting down a worker, how long to wait for the gRPC server to process the final requests.
clearSigma() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder: double sigma = 2;
clearSigma() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder: double sigma = 2;
clearSignature() - Method in class org.tensorflow.proto.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
clearSignatureDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder
clearSignatureDefHash() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of the regularized (sorted) SignatureDefs.
clearSimpleValue() - Method in class org.tensorflow.proto.Summary.Value.Builder: float simple_value = 2;
clearSize() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: int64 size = 2;
clearSize() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder: int64 size = 2;
clearSize() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: int64 size = 5;
clearSize() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: int64 size = 1;
clearSize() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder: Size of the tensor in that dimension.
clearSlack() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool slack = 4;
clearSlice() - Method in class org.tensorflow.proto.SavedSlice.Builder: Extent of the slice.
clearSlice() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
clearSlices() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
clearSlot() - Method in class org.tensorflow.proto.NodeOutput.Builder: int32 slot = 1;
clearSlotName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: The name of the slot (e.g.
clearSlotVariableNodeId() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
clearSlotVariables() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
clearSlotVariables() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
clearSnapshot() - Method in class org.tensorflow.proto.CommitId.Builder: Hash of intermediate change between hash/changelist and what was tested.
clearSnapShot() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
clearSnapshotMaxChunkSizeBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The maximum size of a distributed snapshot chunk file.
clearSnapshotName() - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the snapshot tensor.
clearSocOpId() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 soc_op_id = 4;
clearSource() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Indicates the source environment where this proto is generated.
clearSourceFile() - Method in class org.tensorflow.proto.DebugEvent.Builder: The content of a source file.
clearSourceFiles() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
clearSourceMetadata() - Method in class org.tensorflow.proto.Event.Builder: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
clearStackFrameIds() - Method in class org.tensorflow.proto.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
clearStackFrameWithId() - Method in class org.tensorflow.proto.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
clearStart() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder: Start index of the slice, starting at 0.
clearStartTime() - Method in class org.tensorflow.proto.TestResults.Builder: The time the run started (in seconds of UTC time since Unix epoch)
clearStartTimestampNs() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: The local profiler starts profiling at this Unix timestamp in nanoseconds.
clearStateValue() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: The actual value of the parameter.
clearStatMetadata() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
clearStats() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
clearStats() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
clearStats() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
clearStats() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
clearStatus() - Method in class org.tensorflow.proto.SessionLog.Builder: .tensorflow.SessionLog.SessionStatus status = 1;
clearStep() - Method in class org.tensorflow.proto.DebugEvent.Builder: Step of training (if available).
clearStep() - Method in class org.tensorflow.proto.Event.Builder: Global step of the event.
clearStepId() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: uint64 step_id = 9;
clearStepId() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Process-unique step id.
clearStepId() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Process-unique step id.
clearStepId() - Method in class org.tensorflow.proto.MemoryLogStep.Builder: Process-unique step id.
clearStepId() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Process-unique step id.
clearStepId() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Process-unique step id.
clearStepStats() - Method in class org.tensorflow.proto.RunMetadata.Builder: Statistics traced for this step.
clearStreamMergeOptions() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
clearStreamMergeThreshold() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: The threshold to merge small streams in TFRT.
clearStrength() - Method in class org.tensorflow.proto.InterconnectLink.Builder: int32 strength = 3;
clearStringVal() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_STRING
clearStringValue() - Method in class org.tensorflow.proto.EntryValue.Builder: string string_value = 2;
clearStringValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a string of Unicode characters stored in a Python `str`.
clearStrippedDefaultAttrs() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
clearStrippedOpList() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
clearStructureVerifier() - Method in class org.tensorflow.proto.VerifierConfig.Builder: Perform structural validation on a tensorflow graph.
clearStrValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: string str_value = 5;
clearSum() - Method in class org.tensorflow.proto.HistogramProto.Builder: double sum = 4;
clearSummary() - Method in class org.tensorflow.proto.ApiDef.Builder: One-line human-readable description of what the Op does.
clearSummary() - Method in class org.tensorflow.proto.Event.Builder: A summary was generated.
clearSummary() - Method in class org.tensorflow.proto.OpDef.Builder: One-line human-readable description of what the Op does.
clearSummaryDescription() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Longform readable description of the summary sequence.
clearSumSquares() - Method in class org.tensorflow.proto.HistogramProto.Builder: double sum_squares = 5;
clearSwapMemory() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Whether GPU-CPU memory swap is enabled for this loop.
clearSymbolicCheckpoint() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool symbolic_checkpoint = 8;
clearSynchronization() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.VariableSynchronization synchronization = 4;
clearSynchronization() - Method in class org.tensorflow.proto.VariableDef.Builder: Indicates when a distributed variable will be synced.
clearSystem() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
clearTag() - Method in class org.tensorflow.proto.Summary.Value.Builder: Tag name for the data.
clearTag() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder: Tag name associated with this metadata.
clearTaggedRunMetadata() - Method in class org.tensorflow.proto.Event.Builder: The metadata returned by running a session.run() call.
clearTags() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
clearTarget() - Method in class org.tensorflow.proto.CallableOptions.Builder: Target Nodes.
clearTarget() - Method in class org.tensorflow.proto.TestResults.Builder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
clearTargetGpu() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, TFRT will use GPU specific compiler passes and perform GPU specific initialization.
clearTargetTpu() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, TFRT will use TPU specific compiler passes and perform TPU specific initialization.
clearTaskIndex() - Method in class org.tensorflow.proto.ServerDef.Builder: The task index of this server in its job.
clearTasks() - Method in class org.tensorflow.proto.JobDef.Builder
clearTasks() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
clearTempMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: Temp and persistent memory allocated by this node.
clearTempMemorySize() - Method in class org.tensorflow.proto.MemoryStats.Builder: int64 temp_memory_size = 1;
clearTemporaryMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Temporary memory used by this node.
clearTemporaryMemorySize() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Temporary memory used by this node (in bytes).
clearTensor() - Method in class org.tensorflow.proto.AttrValue.Builder: "tensor"
clearTensor() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
clearTensor() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
clearTensor() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Allocated tensor details.
clearTensor() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Output tensor details.
clearTensor() - Method in class org.tensorflow.proto.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
clearTensor() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
clearTensor() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
clearTensorConnection() - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
clearTensorContent() - Method in class org.tensorflow.proto.TensorProto.Builder: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
clearTensorContent() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
clearTensorDebugMode() - Method in class org.tensorflow.proto.Execution.Builder: Type of the tensor value encapsulated in this proto.
clearTensorDebugMode() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Type of the tensor value encapsulated in this proto.
clearTensorDescription() - Method in class org.tensorflow.proto.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
clearTensorDtypeValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents an enum value for dtype.
clearTensorflowGitVersion() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
clearTensorflowVersion() - Method in class org.tensorflow.proto.DebugMetadata.Builder: Version of TensorFlow.
clearTensorflowVersion() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
clearTensorInfo() - Method in class org.tensorflow.proto.AssetFileDef.Builder: The tensor to bind the asset filename to.
clearTensorMetadata() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
clearTensorProto() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
clearTensorProtos() - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
clearTensors() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
clearTensorShape() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The shape of the component tensor.
clearTensorShape() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
clearTensorShape() - Method in class org.tensorflow.proto.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
clearTensorShape() - Method in class org.tensorflow.proto.TensorProto.Builder: Shape of the tensor.
clearTensorShapeValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a TensorShape.
clearTensorSizeBytes() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder: Number of uncompressed bytes used to store the tensor representation.
clearTensorSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TensorSpec.
clearTensorValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.Tensor.
clearTfdbgContextId() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
clearTfdbgRunId() - Method in class org.tensorflow.proto.DebugMetadata.Builder: A unique ID for the current run of tfdbg.
clearTfrtUseIfrt() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, use ifrt as the backend for TFRT.
clearTfVersion() - Method in class org.tensorflow.proto.TestResults.Builder: TensorFlow version this benchmark runs against.
clearThreadId() - Method in class org.tensorflow.proto.NodeExecStats.Builder: uint32 thread_id = 10;
clearThreadingOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The threading options associated with the dataset.
clearThreadNames() - Method in class org.tensorflow.proto.DeviceStepStats.Builder
clearThroughput() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Throughput (in MB/s)
clearTimelineLabel() - Method in class org.tensorflow.proto.NodeExecStats.Builder: string timeline_label = 8;
clearTimelineStep() - Method in class org.tensorflow.proto.GraphOptions.Builder: If > 0, record a timeline every this many steps.
clearTimeoutInMs() - Method in class org.tensorflow.proto.RunOptions.Builder: Time to wait for operation to complete in milliseconds.
clearTimeoutMs() - Method in class org.tensorflow.proto.WatchdogConfig.Builder: int64 timeout_ms = 1;
clearTimestampedAllocator() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
clearTimestampNs() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Start time of this line in nanoseconds since the UNIX epoch.
clearTolerateDebugOpCreationFailures() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
clearTotal() - Method in class org.tensorflow.proto.MemoryInfo.Builder: Total virtual memory in bytes
clearTotalBytes() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: These are per-node allocator memory stats.
clearTotalBytesInBin() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int64 total_bytes_in_bin = 3;
clearTotalBytesInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int64 total_bytes_in_use = 2;
clearTotalChunksInBin() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int64 total_chunks_in_bin = 5;
clearTotalChunksInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int64 total_chunks_in_use = 4;
clearToTensor() - Method in class org.tensorflow.proto.TensorConnection.Builder: A tensor name.
clearTraceLevel() - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
clearTraces() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
clearTracesById() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
clearTrainable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: bool trainable = 3;
clearTrainable() - Method in class org.tensorflow.proto.VariableDef.Builder: Whether this variable should be trained.
clearTrainerId() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder: string trainer_id = 1;
clearTunable() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Identifies whether the parameter should participate in autotuning.
clearTupleValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a tuple of `Value`.
clearType() - Method in class org.tensorflow.proto.AttrValue.Builder: "type"
clearType() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(type)"
clearType() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Device type, e.g.
clearType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.FullTypeDef type = 4;
clearType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Device type (CPU, GPU, ...)
clearType() - Method in class org.tensorflow.proto.InterconnectLink.Builder: string type = 2;
clearType() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
clearType() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
clearType() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Type of the tensor
clearTypeAttr() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: if specified, attr must have type "type"
clearTypeHint() - Method in class org.tensorflow.proto.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
clearTypeId() - Method in class org.tensorflow.proto.FullTypeDef.Builder: The principal type represented by this object.
clearTypeListAttr() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
clearTypeName() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: string type_name = 3;
clearTypeName() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
clearTypeSpec() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
clearTypeSpecClass() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
clearTypeSpecClassName() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The name of the TypeSpec class
clearTypeSpecProto() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
clearTypeSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TypeSpec.
clearTypeState() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The value returned by TypeSpec.
clearUint32Val() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT32
clearUint64Val() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT64
clearUint64Value() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: uint64 uint64_value = 3;
clearUncompressedBytes() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
clearUnknownRank() - Method in class org.tensorflow.proto.TensorShapeProto.Builder: If true, the number of dimensions in the shape is unknown.
clearUseCudaMallocAsync() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: When true, use CUDA cudaMallocAsync API instead of TF gpu allocator.
clearUseNumaAffinity() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.
clearUsePerSessionThreads() - Method in class org.tensorflow.proto.ConfigProto.Builder: If true, use a new set of threads for this session rather than the global pool of threads.
clearUsePluginOptimizers() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimizers registered by plugin (default is ON)
clearUserObject() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
clearUseRpcForInprocessMaster() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: If true, always use RPC to contact the session target.
clearUseRunHandlerPool() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
clearUseTfrt() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether runtime execution uses TFRT.
clearUseUnifiedMemory() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If true, uses CUDA unified memory for memory allocations.
clearUuid() - Method in class org.tensorflow.proto.GPUInfo.Builder: Final entry in output of "nvidia-smi -L"
clearValue() - Method in class org.tensorflow.proto.AttrValue.Builder
clearValue() - Method in class org.tensorflow.proto.BytesList.Builder: repeated bytes value = 1;
clearValue() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
clearValue() - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder: repeated bytes value = 1;
clearValue() - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
clearValue() - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
clearValue() - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder: repeated string value = 1;
clearValue() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Identifies the model value of the parameter.
clearValue() - Method in class org.tensorflow.proto.FloatList.Builder: repeated float value = 1 [packed = true];
clearValue() - Method in class org.tensorflow.proto.Int64List.Builder: repeated int64 value = 1 [packed = true];
clearValue() - Method in class org.tensorflow.proto.MetricEntry.Builder: Metric value
clearValue() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
clearValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
clearValue() - Method in class org.tensorflow.proto.Struct.PairValue.Builder: .tensorflow.StructuredValue value = 2;
clearValue() - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
clearValue() - Method in class org.tensorflow.proto.Summary.Value.Builder
clearValues() - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
clearValues() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
clearValues() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
clearValues() - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names that have been seen in this context.
clearValuesDef() - Method in class org.tensorflow.proto.CondContextDef.Builder: Values and external values in control flow context.
clearValuesDef() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Values and external values in control flow context.
clearValuesOutputTensorName() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
clearValuesOutputTensorName() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
clearValuesTensorName() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
clearVariable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
clearVariableName() - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the variable tensor.
clearVariantVal() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
clearVarLenFeature() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
clearVarOffset() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
clearVarShape() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of this variable.
clearVendor() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
clearVerificationTimeoutInMs() - Method in class org.tensorflow.proto.VerifierConfig.Builder: Deadline for completion of all verification i.e. all the Toggle ON verifiers must complete execution within this time.
clearVersion() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
clearVersion() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Version of the CompressedElement.
clearVersion() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Version of the snapshot data file format.
clearVersion() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Version specification of the fingerprint.
clearVersion() - Method in class org.tensorflow.proto.GraphDef.Builder: Deprecated.
tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=27
clearVersion() - Method in class org.tensorflow.proto.OpDeprecation.Builder: First GraphDef version at which the op is disallowed.
clearVersion() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '#120-Ubuntu SMP Mon Jan 18 15:59:10 UTC 2016'
clearVersion() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Some default value of option are not proto3 default value.
clearVersion() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
clearVersion() - Method in class org.tensorflow.proto.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
clearVersion() - Method in class org.tensorflow.proto.SessionMetadata.Builder: The version is optional.
clearVersionNumber() - Method in class org.tensorflow.proto.TensorProto.Builder: Version number.
clearVersions() - Method in class org.tensorflow.proto.GraphDef.Builder: Compatibility versions of the graph.
clearVersions() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
clearVirtualDevices() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
clearVisibility() - Method in class org.tensorflow.proto.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
clearVisibleDeviceList() - Method in class org.tensorflow.proto.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
clearWallTime() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Total wall time used for all iterations (in seconds)
clearWallTime() - Method in class org.tensorflow.proto.DebugEvent.Builder: Timestamp in seconds (with microsecond precision).
clearWallTime() - Method in class org.tensorflow.proto.Event.Builder: Timestamp of the event.
clearWarmStart() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool warm_start = 9;
clearWarnings() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Warnings (if any) in the generation of planes;
clearWatchdogConfig() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
clearWhat() - Method in class org.tensorflow.proto.DebugEvent.Builder
clearWhat() - Method in class org.tensorflow.proto.Event.Builder
clearWhileCtxt() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
clearWidth() - Method in class org.tensorflow.proto.Summary.Image.Builder: int32 width = 2;
clearWorkDir() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: A work directory to use for storing dispatcher state, and for recovering during restarts.
clearWorkerAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the worker server.
clearWorkerAddresses() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.)
clearWorkerLog() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
clearWorkerMaxConcurrentSnapshots() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The maximum number of snapshots that a worker can concurrently process at a given point in time.
clearWorkerTags() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
clearWorkerTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long to wait for a worker to heartbeat before considering it missing.
clearWorkFinished() - Method in class org.tensorflow.proto.ReaderBaseState.Builder: int64 work_finished = 2;
clearWorkStarted() - Method in class org.tensorflow.proto.ReaderBaseState.Builder: int64 work_started = 1;
clearWriter() - Method in class org.tensorflow.proto.SourceMetadata.Builder: Low level name of the summary writer, such as `tensorflow.core.util.events_writer`.
clearXlaFusionAutotunerThresh() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.
clearXlaGlobalId() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: A physical device ID for use in XLA DeviceAssignments, unique across clients in a multi-client setup.
clearXlaPreferSingleGraphCluster() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Provides a hint to XLA auto clustering to prefer forming a single large cluster that encompases most of the graph.
CLIENT_TIMEOUT_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
clientTerminated - Variable in class org.tensorflow.op.core.Recv.Inputs: If set to true, this indicates that the node was added to the graph as a result of a client-side feed or fetch of Tensor data, in which case the corresponding send or recv is expected to be managed locally by the caller.
clientTerminated - Variable in class org.tensorflow.op.core.Send.Inputs: If set to true, this indicates that the node was added to the graph as a result of a client-side feed or fetch of Tensor data, in which case the corresponding send or recv is expected to be managed locally by the caller.
clientTerminated(Boolean) - Static method in class org.tensorflow.op.core.Recv: Sets the clientTerminated option.
clientTerminated(Boolean) - Method in class org.tensorflow.op.core.Recv.Options: Sets the clientTerminated option.
clientTerminated(Boolean) - Static method in class org.tensorflow.op.core.Send: Sets the clientTerminated option.
clientTerminated(Boolean) - Method in class org.tensorflow.op.core.Send.Options: Sets the clientTerminated option.
clip(Ops, Operand, double, double) - Method in class org.tensorflow.framework.constraints.AbstractConstraint: Gets the element-wise value clipping.
clipBoxes - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: If true, assume the box coordinates are between [0, 1] and clip the output boxes if they fall beyond [0, 1].
clipBoxes(Boolean) - Static method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Sets the clipBoxes option.
clipBoxes(Boolean) - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression.Options: Sets the clipBoxes option.
clipByValue(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Clips tensor values to a specified min and max.
ClipByValue<T> - Class in org.tensorflow.op.core: Clips tensor values to a specified min and max.
ClipByValue(Operation) - Constructor for class org.tensorflow.op.core.ClipByValue
ClipByValue.Inputs<T> - Class in org.tensorflow.op.core
clipValueMax - Variable in class org.tensorflow.op.core.ClipByValue.Inputs: A 0-D (scalar) Tensor, or a Tensor with the same shape as t.
clipValueMax - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The maximum value of the output that needs to be clipped.
clipValueMin - Variable in class org.tensorflow.op.core.ClipByValue.Inputs: A 0-D (scalar) Tensor, or a Tensor with the same shape as t.
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The clipWeightMax attribute
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Options: Sets the clipWeightMax option.
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The clipWeightMin attribute
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Options: Sets the clipWeightMin option.
clone() - Method in class org.tensorflow.proto.AllocationDescription.Builder
clone() - Method in class org.tensorflow.proto.AllocationRecord.Builder
clone() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
clone() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
clone() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
clone() - Method in class org.tensorflow.proto.ApiDef.Builder
clone() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
clone() - Method in class org.tensorflow.proto.ApiDefs.Builder
clone() - Method in class org.tensorflow.proto.AssetFileDef.Builder
clone() - Method in class org.tensorflow.proto.AttrValue.Builder
clone() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
clone() - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
clone() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
clone() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
clone() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
clone() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
clone() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
clone() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
clone() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
clone() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
clone() - Method in class org.tensorflow.proto.BuildConfiguration.Builder
clone() - Method in class org.tensorflow.proto.BundleEntryProto.Builder
clone() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
clone() - Method in class org.tensorflow.proto.BytesList.Builder
clone() - Method in class org.tensorflow.proto.CallableOptions.Builder
clone() - Method in class org.tensorflow.proto.ClusterDef.Builder
clone() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
clone() - Method in class org.tensorflow.proto.CodeLocation.Builder
clone() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
clone() - Method in class org.tensorflow.proto.CollectionDef.Builder
clone() - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
clone() - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
clone() - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
clone() - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
clone() - Method in class org.tensorflow.proto.CommitId.Builder
clone() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
clone() - Method in class org.tensorflow.proto.CondContextDef.Builder
clone() - Method in class org.tensorflow.proto.ConfigProto.Builder
clone() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
clone() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
clone() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
clone() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
clone() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
clone() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
clone() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
clone() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
clone() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
clone() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
clone() - Method in class org.tensorflow.proto.CostGraphDef.Builder
clone() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
clone() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
clone() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
clone() - Method in class org.tensorflow.proto.CPUInfo.Builder
clone() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
clone() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
clone() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
clone() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
clone() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
clone() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
clone() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
clone() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
clone() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
clone() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
clone() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
clone() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
clone() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
clone() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
clone() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
clone() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
clone() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
clone() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
clone() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
clone() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
clone() - Method in class org.tensorflow.proto.DebugEvent.Builder
clone() - Method in class org.tensorflow.proto.DebuggedDevice.Builder
clone() - Method in class org.tensorflow.proto.DebuggedGraph.Builder
clone() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
clone() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
clone() - Method in class org.tensorflow.proto.DebugMetadata.Builder
clone() - Method in class org.tensorflow.proto.DebugOptions.Builder
clone() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
clone() - Method in class org.tensorflow.proto.DeviceAttributes.Builder
clone() - Method in class org.tensorflow.proto.DeviceLocality.Builder
clone() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
clone() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
clone() - Method in class org.tensorflow.proto.DeviceStepStats.Builder
clone() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
clone() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
clone() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
clone() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
clone() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
clone() - Method in class org.tensorflow.proto.EntryValue.Builder
clone() - Method in class org.tensorflow.proto.Event.Builder
clone() - Method in class org.tensorflow.proto.Example.Builder
clone() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
clone() - Method in class org.tensorflow.proto.Execution.Builder
clone() - Method in class org.tensorflow.proto.Feature.Builder
clone() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
clone() - Method in class org.tensorflow.proto.FeatureList.Builder
clone() - Method in class org.tensorflow.proto.FeatureLists.Builder
clone() - Method in class org.tensorflow.proto.Features.Builder
clone() - Method in class org.tensorflow.proto.FingerprintDef.Builder
clone() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
clone() - Method in class org.tensorflow.proto.FloatList.Builder
clone() - Method in class org.tensorflow.proto.FullTypeDef.Builder
clone() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
clone() - Method in class org.tensorflow.proto.FunctionDef.Builder
clone() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
clone() - Method in class org.tensorflow.proto.GPUInfo.Builder
clone() - Method in class org.tensorflow.proto.GPUOptions.Builder
clone() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
clone() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
clone() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
clone() - Method in class org.tensorflow.proto.GradientDef.Builder
clone() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
clone() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
clone() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
clone() - Method in class org.tensorflow.proto.GraphDef.Builder
clone() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
clone() - Method in class org.tensorflow.proto.GraphOpCreation.Builder
clone() - Method in class org.tensorflow.proto.GraphOptions.Builder
clone() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
clone() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
clone() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
clone() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
clone() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
clone() - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
clone() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
clone() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
clone() - Method in class org.tensorflow.proto.HistogramProto.Builder
clone() - Method in class org.tensorflow.proto.Int64List.Builder
clone() - Method in class org.tensorflow.proto.InterconnectLink.Builder
clone() - Method in class org.tensorflow.proto.JobDef.Builder
clone() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
clone() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
clone() - Method in class org.tensorflow.proto.KernelDef.Builder
clone() - Method in class org.tensorflow.proto.KernelList.Builder
clone() - Method in class org.tensorflow.proto.LocalLinks.Builder
clone() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
clone() - Method in class org.tensorflow.proto.MachineConfiguration.Builder
clone() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
clone() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
clone() - Method in class org.tensorflow.proto.MemoryInfo.Builder
clone() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
clone() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
clone() - Method in class org.tensorflow.proto.MemoryLogStep.Builder
clone() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
clone() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
clone() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
clone() - Method in class org.tensorflow.proto.MemoryStats.Builder
clone() - Method in class org.tensorflow.proto.MetaGraphDef.Builder
clone() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
clone() - Method in class org.tensorflow.proto.MetricEntry.Builder
clone() - Method in class org.tensorflow.proto.NameAttrList.Builder
clone() - Method in class org.tensorflow.proto.NamedTensorProto.Builder
clone() - Method in class org.tensorflow.proto.NodeDef.Builder
clone() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
clone() - Method in class org.tensorflow.proto.NodeExecStats.Builder
clone() - Method in class org.tensorflow.proto.NodeOutput.Builder
clone() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
clone() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
clone() - Method in class org.tensorflow.proto.OpDef.Builder
clone() - Method in class org.tensorflow.proto.OpDeprecation.Builder
clone() - Method in class org.tensorflow.proto.OpList.Builder
clone() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
clone() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
clone() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
clone() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
clone() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
clone() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
clone() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
clone() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
clone() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
clone() - Method in class org.tensorflow.proto.OptimizerOptions.Builder
clone() - Method in class org.tensorflow.proto.PlatformInfo.Builder
clone() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
clone() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
clone() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
clone() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
clone() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
clone() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
clone() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
clone() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
clone() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
clone() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
clone() - Method in class org.tensorflow.proto.ReaderBaseState.Builder
clone() - Method in class org.tensorflow.proto.RegisteredGradient.Builder
clone() - Method in class org.tensorflow.proto.RequestedExitCode.Builder
clone() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
clone() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
clone() - Method in class org.tensorflow.proto.RewriterConfig.Builder
clone() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
clone() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
clone() - Method in class org.tensorflow.proto.RunConfiguration.Builder
clone() - Method in class org.tensorflow.proto.RunMetadata.Builder
clone() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
clone() - Method in class org.tensorflow.proto.RunOptions.Builder
clone() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
clone() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
clone() - Method in class org.tensorflow.proto.SavedModel.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
clone() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
clone() - Method in class org.tensorflow.proto.SavedSlice.Builder
clone() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
clone() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
clone() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
clone() - Method in class org.tensorflow.proto.SaverDef.Builder
clone() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
clone() - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
clone() - Method in class org.tensorflow.proto.SequenceExample.Builder
clone() - Method in class org.tensorflow.proto.SerializedDType.Builder
clone() - Method in class org.tensorflow.proto.ServerDef.Builder
clone() - Method in class org.tensorflow.proto.SessionLog.Builder
clone() - Method in class org.tensorflow.proto.SessionMetadata.Builder
clone() - Method in class org.tensorflow.proto.SignatureDef.Builder
clone() - Method in class org.tensorflow.proto.SourceFile.Builder
clone() - Method in class org.tensorflow.proto.SourceMetadata.Builder
clone() - Method in class org.tensorflow.proto.StackFrameWithId.Builder
clone() - Method in class org.tensorflow.proto.StatusProto.Builder
clone() - Method in class org.tensorflow.proto.StepStats.Builder
clone() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
clone() - Method in class org.tensorflow.proto.Struct.DictValue.Builder
clone() - Method in class org.tensorflow.proto.Struct.ListValue.Builder
clone() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
clone() - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
clone() - Method in class org.tensorflow.proto.Struct.PairValue.Builder
clone() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
clone() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
clone() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
clone() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
clone() - Method in class org.tensorflow.proto.Summary.Audio.Builder
clone() - Method in class org.tensorflow.proto.Summary.Builder
clone() - Method in class org.tensorflow.proto.Summary.Image.Builder
clone() - Method in class org.tensorflow.proto.Summary.Value.Builder
clone() - Method in class org.tensorflow.proto.SummaryDescription.Builder
clone() - Method in class org.tensorflow.proto.SummaryMetadata.Builder
clone() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
clone() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
clone() - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
clone() - Method in class org.tensorflow.proto.TensorConnection.Builder
clone() - Method in class org.tensorflow.proto.TensorDescription.Builder
clone() - Method in class org.tensorflow.proto.TensorInfo.Builder
clone() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
clone() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
clone() - Method in class org.tensorflow.proto.TensorProto.Builder
clone() - Method in class org.tensorflow.proto.TensorShapeProto.Builder
clone() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
clone() - Method in class org.tensorflow.proto.TensorSliceProto.Builder
clone() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
clone() - Method in class org.tensorflow.proto.TestResults.Builder
clone() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
clone() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
clone() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
clone() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
clone() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
clone() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
clone() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
clone() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
clone() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
clone() - Method in class org.tensorflow.proto.ValuesDef.Builder
clone() - Method in class org.tensorflow.proto.VariableDef.Builder
clone() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
clone() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
clone() - Method in class org.tensorflow.proto.VerifierConfig.Builder
clone() - Method in class org.tensorflow.proto.VersionDef.Builder
clone() - Method in class org.tensorflow.proto.WatchdogConfig.Builder
clone() - Method in class org.tensorflow.proto.WhileContextDef.Builder
clone() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
clone() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
close() - Method in class org.tensorflow.ConcreteFunction
close() - Method in class org.tensorflow.EagerSession
close() - Method in class org.tensorflow.Graph: Release resources associated with the Graph.
close() - Method in class org.tensorflow.internal.WeakPointerScope
close() - Method in class org.tensorflow.RawTensor
close() - Method in class org.tensorflow.Result
close() - Method in class org.tensorflow.SavedModelBundle: Releases resources (the Graph and Session) associated with the saved model bundle.
close() - Method in class org.tensorflow.Server: Destroy an in-process TensorFlow server, frees memory.
close() - Method in class org.tensorflow.Session: Release resources associated with the Session.
close() - Method in interface org.tensorflow.Tensor: Release resources associated with the Tensor.
CLOSE_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.QueueRunnerDef
closeSummaryWriter(Operand) - Method in class org.tensorflow.op.SummaryOps: The CloseSummaryWriter operation
CloseSummaryWriter - Class in org.tensorflow.op.summary: The CloseSummaryWriter operation
CloseSummaryWriter(Operation) - Constructor for class org.tensorflow.op.summary.CloseSummaryWriter
CloseSummaryWriter.Inputs - Class in org.tensorflow.op.summary
cluster - Variable in class org.tensorflow.op.Ops
CLUSTER_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
CLUSTER_DEVICE_FILTERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ServerDef
CLUSTER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ServerDef
CLUSTER_REGISTER_TIMEOUT_IN_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
ClusterDef - Class in org.tensorflow.proto: Defines a TensorFlow cluster as a set of jobs.
ClusterDef.Builder - Class in org.tensorflow.proto: Defines a TensorFlow cluster as a set of jobs.
ClusterDefOrBuilder - Interface in org.tensorflow.proto
ClusterDeviceFilters - Class in org.tensorflow.proto: Defines the device filters for jobs in a cluster.
ClusterDeviceFilters.Builder - Class in org.tensorflow.proto: Defines the device filters for jobs in a cluster.
ClusterDeviceFiltersOrBuilder - Interface in org.tensorflow.proto
ClusterOps - Class in org.tensorflow.op: An API for building cluster operations as Ops
ClusterProtos - Class in org.tensorflow.proto
co - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The cell after the tanh over the whole time sequence.
co - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The cell after the tanh.
co() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets co.
co() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets co.
Code - Enum in org.tensorflow.proto.error: The canonical error codes for TensorFlow APIs.
CODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
CODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.StatusProto
CODE_LOCATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Execution
CODE_LOCATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOpCreation
CodeLocation - Class in org.tensorflow.proto: Code location information: A stack trace with host-name information.
CodeLocation.Builder - Class in org.tensorflow.proto: Code location information: A stack trace with host-name information.
CodeLocationOrBuilder - Interface in org.tensorflow.proto
COL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
colIds - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The colIds input
colIds - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The colIds input
colIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The colIds input
colIds() - Method in class org.tensorflow.op.tpu.ConvertToCooTensor: Gets colIds.
colIdsList - Variable in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors.Inputs: The colIdsList input
colIdsList - Variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs: The colIdsList input
colIdsList() - Method in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors: Gets colIdsList.
colInds() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: Gets colInds.
collateTPUEmbeddingMemory(Iterable) - Method in class org.tensorflow.op.TpuOps: An op that merges the string-encoded memory config protos from all hosts.
CollateTPUEmbeddingMemory - Class in org.tensorflow.op.tpu: An op that merges the string-encoded memory config protos from all hosts.
CollateTPUEmbeddingMemory(Operation) - Constructor for class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory
CollateTPUEmbeddingMemory.Inputs - Class in org.tensorflow.op.tpu
COLLECTION_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef
CollectionDef - Class in org.tensorflow.proto: CollectionDef should cover most collections.
CollectionDef.AnyList - Class in org.tensorflow.proto: AnyList is used for collecting Any protos.
CollectionDef.AnyList.Builder - Class in org.tensorflow.proto: AnyList is used for collecting Any protos.
CollectionDef.AnyListOrBuilder - Interface in org.tensorflow.proto
CollectionDef.Builder - Class in org.tensorflow.proto: CollectionDef should cover most collections.
CollectionDef.BytesList - Class in org.tensorflow.proto: BytesList is used for collecting strings and serialized protobufs.
CollectionDef.BytesList.Builder - Class in org.tensorflow.proto: BytesList is used for collecting strings and serialized protobufs.
CollectionDef.BytesListOrBuilder - Interface in org.tensorflow.proto
CollectionDef.FloatList - Class in org.tensorflow.proto: FloatList is used for collecting float values.
CollectionDef.FloatList.Builder - Class in org.tensorflow.proto: FloatList is used for collecting float values.
CollectionDef.FloatListOrBuilder - Interface in org.tensorflow.proto
CollectionDef.Int64List - Class in org.tensorflow.proto: Int64List is used for collecting int, int64 and long values.
CollectionDef.Int64List.Builder - Class in org.tensorflow.proto: Int64List is used for collecting int, int64 and long values.
CollectionDef.Int64ListOrBuilder - Interface in org.tensorflow.proto
CollectionDef.KindCase - Enum in org.tensorflow.proto
CollectionDef.NodeList - Class in org.tensorflow.proto: NodeList is used for collecting nodes in graph.
CollectionDef.NodeList.Builder - Class in org.tensorflow.proto: NodeList is used for collecting nodes in graph.
CollectionDef.NodeListOrBuilder - Interface in org.tensorflow.proto
CollectionDefOrBuilder - Interface in org.tensorflow.proto
collective - Variable in class org.tensorflow.op.Ops
COLLECTIVE_DETERMINISTIC_SEQUENTIAL_EXECUTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
COLLECTIVE_GRAPH_KEY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunOptions.Experimental
COLLECTIVE_GROUP_LEADER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
COLLECTIVE_NCCL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
COLLECTIVE_RING_ORDER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
collectiveAllToAll(Operand, Operand, Operand, CollectiveAllToAll.Options...) - Method in class org.tensorflow.op.CollectiveOps: Mutually exchanges multiple tensors of identical type and shape.
CollectiveAllToAll<T> - Class in org.tensorflow.op.collective: Mutually exchanges multiple tensors of identical type and shape.
CollectiveAllToAll(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveAllToAll
CollectiveAllToAll.Inputs<T> - Class in org.tensorflow.op.collective
CollectiveAllToAll.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveAllToAll
collectiveAssignGroup(Operand, Operand, Operand) - Method in class org.tensorflow.op.CollectiveOps: Assign group keys based on group assignment.
CollectiveAssignGroup - Class in org.tensorflow.op.collective: Assign group keys based on group assignment.
CollectiveAssignGroup(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveAssignGroup
CollectiveAssignGroup.Inputs - Class in org.tensorflow.op.collective
collectiveBcastRecv(Operand, Operand, Operand, Operand, Class, CollectiveBcastRecv.Options...) - Method in class org.tensorflow.op.CollectiveOps: Receives a tensor value broadcast from another device.
CollectiveBcastRecv - Class in org.tensorflow.op.collective: Receives a tensor value broadcast from another device.
CollectiveBcastRecv(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveBcastRecv
CollectiveBcastRecv.Inputs - Class in org.tensorflow.op.collective
CollectiveBcastRecv.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveBcastRecv
collectiveBcastSend(Operand, Operand, Operand, Operand, CollectiveBcastSend.Options...) - Method in class org.tensorflow.op.CollectiveOps: Broadcasts a tensor value to one or more other devices.
CollectiveBcastSend<T> - Class in org.tensorflow.op.collective: Broadcasts a tensor value to one or more other devices.
CollectiveBcastSend(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveBcastSend
CollectiveBcastSend.Inputs<T> - Class in org.tensorflow.op.collective
CollectiveBcastSend.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveBcastSend
collectiveGather(Operand, Operand, Operand, Operand, Iterable, CollectiveGather.Options...) - Method in class org.tensorflow.op.CollectiveOps: Mutually accumulates multiple tensors of identical type and shape.
CollectiveGather<T> - Class in org.tensorflow.op.collective: Mutually accumulates multiple tensors of identical type and shape.
CollectiveGather(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveGather
CollectiveGather.Inputs<T> - Class in org.tensorflow.op.collective
CollectiveGather.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveGather
collectiveInitializeCommunicator(Operand, Operand, Operand, CollectiveInitializeCommunicator.Options...) - Method in class org.tensorflow.op.CollectiveOps: Initializes a group for collective operations.
CollectiveInitializeCommunicator - Class in org.tensorflow.op.collective: Initializes a group for collective operations.
CollectiveInitializeCommunicator(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveInitializeCommunicator
CollectiveInitializeCommunicator.Inputs - Class in org.tensorflow.op.collective
CollectiveInitializeCommunicator.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveInitializeCommunicator
CollectiveOps - Class in org.tensorflow.op: An API for building collective operations as Ops
collectivePermute(Operand, Operand) - Method in class org.tensorflow.op.CollectiveOps: An Op to permute tensors across replicated TPU instances.
CollectivePermute<T> - Class in org.tensorflow.op.collective: An Op to permute tensors across replicated TPU instances.
CollectivePermute(Operation) - Constructor for class org.tensorflow.op.collective.CollectivePermute
CollectivePermute.Inputs<T> - Class in org.tensorflow.op.collective
collectiveReduce(Operand, Operand, Operand, String, CollectiveReduce.Options...) - Method in class org.tensorflow.op.CollectiveOps: Mutually reduces multiple tensors of identical type and shape.
CollectiveReduce<T> - Class in org.tensorflow.op.collective: Mutually reduces multiple tensors of identical type and shape.
CollectiveReduce(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveReduce
CollectiveReduce.Inputs<T> - Class in org.tensorflow.op.collective
CollectiveReduce.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveReduce
collectiveReduceScatter(Operand, Operand, Operand, Operand, Iterable, String, String, CollectiveReduceScatter.Options...) - Method in class org.tensorflow.op.CollectiveOps: Mutually reduces multiple tensors of identical type and shape and scatters the result.
CollectiveReduceScatter<T> - Class in org.tensorflow.op.collective: Mutually reduces multiple tensors of identical type and shape and scatters the result.
CollectiveReduceScatter(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveReduceScatter
CollectiveReduceScatter.Inputs<T> - Class in org.tensorflow.op.collective
CollectiveReduceScatter.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveReduceScatter
colOffset - Variable in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors.Inputs: The colOffset attribute
colOffsetList - Variable in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors.Inputs: The colOffsetList attribute
colOffsetList - Variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs: The colOffsetList attribute
colors - Variable in class org.tensorflow.op.image.DrawBoundingBoxes.Inputs: 2-D.
COLORSPACE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Image
colPoolingSequence - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: column pooling sequence, form pooling region with row_pooling sequence.
colPoolingSequence - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: column pooling sequence, form pooling region with row_pooling sequence.
colPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalAvgPool: Gets colPoolingSequence. column pooling sequence, needed to calculate gradient.
colPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalMaxPool: Gets colPoolingSequence. column pooling sequence, needed to calculate gradient.
colRemapping - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: An int Tensor of column remappings (generally created by generate_vocab_remapping).
colShift - Variable in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors.Inputs: The colShift attribute
combinedNonMaxSuppression(Operand, Operand, Operand, Operand, Operand, Operand, CombinedNonMaxSuppression.Options...) - Method in class org.tensorflow.op.ImageOps: Greedily selects a subset of bounding boxes in descending order of score, This operation performs non_max_suppression on the inputs per batch, across all classes.
CombinedNonMaxSuppression - Class in org.tensorflow.op.image: Greedily selects a subset of bounding boxes in descending order of score, This operation performs non_max_suppression on the inputs per batch, across all classes.
CombinedNonMaxSuppression(Operation) - Constructor for class org.tensorflow.op.image.CombinedNonMaxSuppression
CombinedNonMaxSuppression.Inputs - Class in org.tensorflow.op.image
CombinedNonMaxSuppression.Options - Class in org.tensorflow.op.image: Optional attributes for CombinedNonMaxSuppression
combiner - Variable in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors.Inputs: The combiner attribute
combiner - Variable in class org.tensorflow.op.tpu.ConvertToCooTensor.Inputs: The combiner attribute
combiners - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The combiners attribute
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners(String...) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Options: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Options: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Options: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Options: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the combiners option.
combiners(List) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch: Sets the combiners option.
combiners(List) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Options: Sets the combiners option.
combiners(List) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Sets the combiners option.
combiners(List) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the combiners option.
combiners(List) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch: Sets the combiners option.
combiners(List) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Options: Sets the combiners option.
combiners(List) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch: Sets the combiners option.
combiners(List) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Options: Sets the combiners option.
combiners(List) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the combiners option.
combiners(List) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the combiners option.
combiners(List) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: Sets the combiners option.
combiners(List) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Options: Sets the combiners option.
combiners(List) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the combiners option.
combiners(List) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the combiners option.
COMMIT_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TestResults
CommitId - Class in org.tensorflow.proto: Protobuf type tensorflow.CommitId
CommitId.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.CommitId
CommitId.KindCase - Enum in org.tensorflow.proto
CommitIdOrBuilder - Interface in org.tensorflow.proto
COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
commonConfig - Variable in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost.Inputs: A string-encoded common configuration proto containing metadata about the TPUEmbedding partitioner output.
commonConfig - Variable in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory.Inputs: A string-encoded CommonConfiguration proto containing metadata about the TPUEmbedding partitioner output and the HBM size (in bytes) required for operation.
commonConfig - Variable in class org.tensorflow.op.tpu.FinalizeTPUEmbedding.Inputs: A string-encoded common configuration proto containing metadata about the TPUEmbedding partitioner output and the HBM size (in bytes) required for operation.
commonConfig() - Method in class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner: Gets commonConfig.
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The communicationHint attribute
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The communicationHint attribute
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The communicationHint attribute
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The communicationHint attribute
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The communicationHint attribute
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveBcastRecv: Sets the communicationHint option.
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveBcastRecv.Options: Sets the communicationHint option.
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveBcastSend: Sets the communicationHint option.
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveBcastSend.Options: Sets the communicationHint option.
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveGather: Sets the communicationHint option.
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveGather.Options: Sets the communicationHint option.
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: Sets the communicationHint option.
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Options: Sets the communicationHint option.
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveReduceScatter: Sets the communicationHint option.
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveReduceScatter.Options: Sets the communicationHint option.
communicator - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The communicator input
communicator - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The communicator input
communicator() - Method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: Gets communicator.
compilationFailureClosesChips - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: The compilationFailureClosesChips attribute
compilationFailureClosesChips(Boolean) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the compilationFailureClosesChips option.
compilationFailureClosesChips(Boolean) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the compilationFailureClosesChips option.
compilationResult() - Method in class org.tensorflow.op.TpuOps: Returns the result of a TPU compilation.
CompilationResult - Class in org.tensorflow.op.tpu: Returns the result of a TPU compilation.
CompilationResult(Operation) - Constructor for class org.tensorflow.op.tpu.CompilationResult
CompilationResult.Inputs - Class in org.tensorflow.op.tpu
compilationStatus - Variable in class org.tensorflow.op.tpu.CompileSucceededAssert.Inputs: The compilationStatus input
compilationStatus() - Method in class org.tensorflow.op.tpu.Compile: Gets compilationStatus.
compile(Iterable, Iterable, Long, ConcreteFunction, String) - Method in class org.tensorflow.op.TpuOps: Compiles a computations for execution on one or more TPU devices.
Compile - Class in org.tensorflow.op.tpu: Compiles a computations for execution on one or more TPU devices.
Compile(Operation) - Constructor for class org.tensorflow.op.tpu.Compile
Compile.Inputs - Class in org.tensorflow.op.tpu
compileSucceededAssert(Operand) - Method in class org.tensorflow.op.TpuOps: Asserts that compilation succeeded.
CompileSucceededAssert - Class in org.tensorflow.op.tpu: Asserts that compilation succeeded.
CompileSucceededAssert(Operation) - Constructor for class org.tensorflow.op.tpu.CompileSucceededAssert
CompileSucceededAssert.Inputs - Class in org.tensorflow.op.tpu
completeSubgraph(Set, Set) - Method in class org.tensorflow.Graph: Finds the operations used to produce outputs, assuming inputs are provided.
complex(Operand, Operand, Class) - Method in class org.tensorflow.op.DtypesOps: Converts two real numbers to a complex number.
Complex - Class in org.tensorflow.op.dtypes: Converts two real numbers to a complex number.
Complex(Operation) - Constructor for class org.tensorflow.op.dtypes.Complex
Complex.Inputs<T> - Class in org.tensorflow.op.dtypes
complexAbs(Operand) - Method in class org.tensorflow.op.MathOps: Computes the complex absolute value of a tensor.
complexAbs(Operand, Class) - Method in class org.tensorflow.op.MathOps: Computes the complex absolute value of a tensor.
ComplexAbs - Class in org.tensorflow.op.math: Computes the complex absolute value of a tensor.
ComplexAbs(Operation) - Constructor for class org.tensorflow.op.math.ComplexAbs
ComplexAbs.Inputs - Class in org.tensorflow.op.math
COMPONENT_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Dataset.CompressedElement
componentIndex - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: The component of the barrier elements that is being assigned.
components - Variable in class org.tensorflow.op.core.CompositeTensorVariantFromComponents.Inputs: The component tensors for the extension type value.
components - Variable in class org.tensorflow.op.data.CompressElement.Inputs: The components input
components - Variable in class org.tensorflow.op.data.OptionalFromValue.Inputs: The components input
components - Variable in class org.tensorflow.op.data.TensorDataset.Inputs: The components input
components - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The components input
components - Variable in class org.tensorflow.op.io.QueueEnqueue.Inputs: One or more tensors from which the enqueued tensors should be taken.
components - Variable in class org.tensorflow.op.io.QueueEnqueueMany.Inputs: One or more tensors from which the enqueued tensors should be taken.
components() - Method in class org.tensorflow.op.core.CompositeTensorVariantToComponents: Gets components.
components() - Method in class org.tensorflow.op.core.GetElementAtIndex: Gets components.
components() - Method in class org.tensorflow.op.data.DatasetToSingleElement: Gets components.
components() - Method in class org.tensorflow.op.data.IteratorGetNext: Gets components.
components() - Method in class org.tensorflow.op.data.IteratorGetNextSync: Gets components.
components() - Method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard: Gets components.
components() - Method in class org.tensorflow.op.data.OptionalGetValue: Gets components.
components() - Method in class org.tensorflow.op.data.ReduceDataset: Gets components.
components() - Method in class org.tensorflow.op.data.UncompressElement: Gets components.
components() - Method in class org.tensorflow.op.io.QueueDequeue: Gets components.
components() - Method in class org.tensorflow.op.io.QueueDequeueMany: Gets components.
components() - Method in class org.tensorflow.op.io.QueueDequeueUpTo: Gets components.
COMPONENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Dataset.UncompressedElement
COMPONENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorInfo.CompositeTensor
componentTypes - Variable in class org.tensorflow.op.core.Barrier.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.io.QueueDequeue.Inputs: The type of each component in a tuple.
componentTypes - Variable in class org.tensorflow.op.io.QueueDequeueMany.Inputs: The type of each component in a tuple.
componentTypes - Variable in class org.tensorflow.op.io.QueueDequeueUpTo.Inputs: The type of each component in a tuple.
componentTypes - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: The type of each component in a value.
COMPOSITE_TENSOR - Enum constant in enum org.tensorflow.proto.TensorInfo.EncodingCase
COMPOSITE_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorInfo
CompositeTensorVariant - Class in org.tensorflow.proto
CompositeTensorVariant.CompositeTensorVariantMetadata - Class in org.tensorflow.proto: Metadata for CompositeTensorVariant, used when serializing as Variant.
CompositeTensorVariant.CompositeTensorVariantMetadata.Builder - Class in org.tensorflow.proto: Metadata for CompositeTensorVariant, used when serializing as Variant.
CompositeTensorVariant.CompositeTensorVariantMetadataOrBuilder - Interface in org.tensorflow.proto
compositeTensorVariantFromComponents(Iterable, String) - Method in class org.tensorflow.op.Ops: Encodes an ExtensionType value into a variant scalar Tensor.
CompositeTensorVariantFromComponents - Class in org.tensorflow.op.core: Encodes an ExtensionType value into a variant scalar Tensor.
CompositeTensorVariantFromComponents(Operation) - Constructor for class org.tensorflow.op.core.CompositeTensorVariantFromComponents
CompositeTensorVariantFromComponents.Inputs - Class in org.tensorflow.op.core
compositeTensorVariantToComponents(Operand, String, List) - Method in class org.tensorflow.op.Ops: Decodes a variant scalar Tensor into an ExtensionType value.
CompositeTensorVariantToComponents - Class in org.tensorflow.op.core: Decodes a variant scalar Tensor into an ExtensionType value.
CompositeTensorVariantToComponents(Operation) - Constructor for class org.tensorflow.op.core.CompositeTensorVariantToComponents
CompositeTensorVariantToComponents.Inputs - Class in org.tensorflow.op.core
compressed - Variable in class org.tensorflow.op.data.UncompressElement.Inputs: The compressed input
compressed() - Method in class org.tensorflow.op.data.CompressElement: Gets compressed.
compressElement(Iterable) - Method in class org.tensorflow.op.DataOps: Compresses a dataset element.
CompressElement - Class in org.tensorflow.op.data: Compresses a dataset element.
CompressElement(Operation) - Constructor for class org.tensorflow.op.data.CompressElement
CompressElement.Inputs - Class in org.tensorflow.op.data
compression - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The compression attribute
compression - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The compression attribute
compression - Variable in class org.tensorflow.op.data.SnapshotChunkDataset.Inputs: The compression attribute
compression - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The type of compression to be applied to the saved snapshot files.
compression - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The compression attribute
compression - Variable in class org.tensorflow.op.image.EncodePng.Inputs: Compression level.
compression(Long) - Static method in class org.tensorflow.op.image.EncodePng: Sets the compression option.
compression(Long) - Method in class org.tensorflow.op.image.EncodePng.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.LoadDataset: Sets the compression option.
compression(String) - Method in class org.tensorflow.op.data.LoadDataset.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.SaveDataset: Sets the compression option.
compression(String) - Method in class org.tensorflow.op.data.SaveDataset.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.SnapshotChunkDataset: Sets the compression option.
compression(String) - Method in class org.tensorflow.op.data.SnapshotChunkDataset.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the compression option.
compression(String) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.SnapshotDatasetReader: Sets the compression option.
compression(String) - Method in class org.tensorflow.op.data.SnapshotDatasetReader.Options: Sets the compression option.
COMPRESSION_ALGORITHM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RpcOptions.RPCOptions
COMPRESSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DataService.DataServiceMetadata
COMPRESSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
COMPRESSION_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RpcOptions.RPCOptions
COMPRESSION_OFF - Enum constant in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression: No compression.
COMPRESSION_OFF_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression: No compression.
COMPRESSION_SNAPPY - Enum constant in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression: Snappy compression as defined in tensorflow/core/platform/snappy.h.
COMPRESSION_SNAPPY_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression: Snappy compression as defined in tensorflow/core/platform/snappy.h.
COMPRESSION_UNSPECIFIED - Enum constant in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression: COMPRESSION_UNSPECIFIED = 0;
COMPRESSION_UNSPECIFIED_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression: COMPRESSION_UNSPECIFIED = 0;
compressionType - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The compressionType input
compressionType - Variable in class org.tensorflow.op.data.DatasetToTfRecord.Inputs: A scalar string tensor containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The compressionType input
compressionType - Variable in class org.tensorflow.op.data.experimental.DatasetToTFRecord.Inputs: A scalar string tensor containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The compressionType input
compressionType - Variable in class org.tensorflow.op.data.TextLineDataset.Inputs: A scalar containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: A scalar containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.io.DecodeCompressed.Inputs: A scalar containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.io.TfRecordReader.Inputs: The compressionType attribute
compressionType - Variable in class org.tensorflow.op.random.RecordInput.Inputs: The type of compression for the file.
compressionType(String) - Static method in class org.tensorflow.op.io.DecodeCompressed: Sets the compressionType option.
compressionType(String) - Method in class org.tensorflow.op.io.DecodeCompressed.Options: Sets the compressionType option.
compressionType(String) - Static method in class org.tensorflow.op.io.TfRecordReader: Sets the compressionType option.
compressionType(String) - Method in class org.tensorflow.op.io.TfRecordReader.Options: Sets the compressionType option.
compressionType(String) - Static method in class org.tensorflow.op.random.RecordInput: Sets the compressionType option.
compressionType(String) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the compressionType option.
computationShape - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: DEPRECATED.
computationShape - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

DEPRECATED.
computationShape(Long...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the computationShape option.
computationShape(Long...) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the computationShape option.
computationShape(Long...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the computationShape option.
computationShape(Long...) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the computationShape option.
computationShape(List) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the computationShape option.
computationShape(List) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the computationShape option.
computationShape(List) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the computationShape option.
computationShape(List) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the computationShape option.
COMPUTE_COST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
COMPUTE_COST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance
COMPUTE_EFFICIENCY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance
COMPUTE_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
COMPUTE_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
COMPUTE_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance
computeAccidentalHits(Operand, Operand, Long, ComputeAccidentalHits.Options...) - Method in class org.tensorflow.op.NnOps: Computes the ids of the positions in sampled_candidates that match true_labels.
ComputeAccidentalHits - Class in org.tensorflow.op.nn: Computes the ids of the positions in sampled_candidates that match true_labels.
ComputeAccidentalHits(Operation) - Constructor for class org.tensorflow.op.nn.ComputeAccidentalHits
ComputeAccidentalHits.Inputs - Class in org.tensorflow.op.nn
ComputeAccidentalHits.Options - Class in org.tensorflow.op.nn: Optional attributes for ComputeAccidentalHits
computeBatchSize(Operand) - Method in class org.tensorflow.op.TrainOps: Computes the static batch size of a dataset sans partial batches.
ComputeBatchSize - Class in org.tensorflow.op.train: Computes the static batch size of a dataset sans partial batches.
ComputeBatchSize(Operation) - Constructor for class org.tensorflow.op.train.ComputeBatchSize
ComputeBatchSize.Inputs - Class in org.tensorflow.op.train
ComputeDedupDataSize - Class in org.tensorflow.op.tpu: An op computes the size of the deduplication data from embedding core and returns the updated config.
ComputeDedupDataSize(Operation) - Constructor for class org.tensorflow.op.tpu.ComputeDedupDataSize
ComputeDedupDataSize.Inputs - Class in org.tensorflow.op.tpu
ComputeDedupDataTupleMask - Class in org.tensorflow.op.tpu: An op computes tuple mask of deduplication data from embedding core.
ComputeDedupDataTupleMask(Operation) - Constructor for class org.tensorflow.op.tpu.ComputeDedupDataTupleMask
ComputeDedupDataTupleMask.Inputs - Class in org.tensorflow.op.tpu
computeGradients(Operand) - Method in class org.tensorflow.framework.optimizers.Optimizer: Computes the gradients based on a loss operand.
computeUv - Variable in class org.tensorflow.op.linalg.BatchSvd.Inputs: The computeUv attribute
computeUv - Variable in class org.tensorflow.op.linalg.Svd.Inputs: If true, left and right singular vectors will be computed and returned in u and v, respectively.
computeUv(Boolean) - Static method in class org.tensorflow.op.linalg.BatchSvd: Sets the computeUv option.
computeUv(Boolean) - Method in class org.tensorflow.op.linalg.BatchSvd.Options: Sets the computeUv option.
computeUv(Boolean) - Static method in class org.tensorflow.op.linalg.Svd: Sets the computeUv option.
computeUv(Boolean) - Method in class org.tensorflow.op.linalg.Svd.Options: Sets the computeUv option.
computeV - Variable in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Inputs: The computeV attribute
computeV - Variable in class org.tensorflow.op.linalg.Eig.Inputs: If True then eigenvectors will be computed and returned in v.
computeV - Variable in class org.tensorflow.op.linalg.SelfAdjointEig.Inputs: If True then eigenvectors will be computed and returned in v.
computeV(Boolean) - Static method in class org.tensorflow.op.linalg.BatchSelfAdjointEig: Sets the computeV option.
computeV(Boolean) - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Options: Sets the computeV option.
computeV(Boolean) - Static method in class org.tensorflow.op.linalg.Eig: Sets the computeV option.
computeV(Boolean) - Method in class org.tensorflow.op.linalg.Eig.Options: Sets the computeV option.
computeV(Boolean) - Static method in class org.tensorflow.op.linalg.SelfAdjointEig: Sets the computeV option.
computeV(Boolean) - Method in class org.tensorflow.op.linalg.SelfAdjointEig.Options: Sets the computeV option.
concat(Iterable, Operand) - Method in class org.tensorflow.op.Ops: Concatenates tensors along one dimension.
Concat<T> - Class in org.tensorflow.op.core: Concatenates tensors along one dimension.
Concat(Operation) - Constructor for class org.tensorflow.op.core.Concat
Concat.Inputs<T> - Class in org.tensorflow.op.core
concatDim - Variable in class org.tensorflow.op.core.ConcatOffset.Inputs: The dimension along which to concatenate.
concatDim - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: 0-D.
concatDim - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: Dimension to concatenate along.
concatDimension - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The dimension number to concatenate.
concatenateDataset(Operand, Operand, List, List, ConcatenateDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that concatenates input_dataset with another_dataset.
ConcatenateDataset - Class in org.tensorflow.op.data: Creates a dataset that concatenates input_dataset with another_dataset.
ConcatenateDataset(Operation) - Constructor for class org.tensorflow.op.data.ConcatenateDataset
ConcatenateDataset.Inputs - Class in org.tensorflow.op.data
ConcatenateDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ConcatenateDataset
concatND(Iterable, List, ConcatND.Options...) - Method in class org.tensorflow.op.XlaOps: Concats input tensor across all dimensions.
ConcatND<T> - Class in org.tensorflow.op.xla: Concats input tensor across all dimensions.
ConcatND(Operation) - Constructor for class org.tensorflow.op.xla.ConcatND
ConcatND.Inputs<T> - Class in org.tensorflow.op.xla
ConcatND.Options - Class in org.tensorflow.op.xla: Optional attributes for ConcatND
concatOffset(Operand, Iterable) - Method in class org.tensorflow.op.Ops: Computes offsets of concat inputs within its output.
ConcatOffset<T> - Class in org.tensorflow.op.core: Computes offsets of concat inputs within its output.
ConcatOffset(Operation) - Constructor for class org.tensorflow.op.core.ConcatOffset
ConcatOffset.Inputs<T> - Class in org.tensorflow.op.core
CONCISE_HEALTH - Enum constant in enum org.tensorflow.proto.TensorDebugMode: A concise health summary for float-type tensors.
CONCISE_HEALTH_VALUE - Static variable in enum org.tensorflow.proto.TensorDebugMode: A concise health summary for float-type tensors.
CONCRETE_FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
CONCRETE_FUNCTION_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
CONCRETE_FUNCTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
CONCRETE_FUNCTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
ConcreteFunction - Class in org.tensorflow: A graph that can be invoked as a single function, with an input and output signature.
ConcreteFunction - Static variable in class org.tensorflow.generator.op.Names
cond - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: A Tensor.
cond - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: A Tensor.
COND_CTXT - Enum constant in enum org.tensorflow.proto.ControlFlowContextDef.CtxtCase
COND_CTXT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ControlFlowContextDef
cond_graph() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
cond_inputs() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
cond_output() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
cond_output(TF_Output) - Method in class org.tensorflow.internal.c_api.TF_WhileParams
CondContextDef - Class in org.tensorflow.proto: Protocol buffer representing a CondContext object.
CondContextDef.Builder - Class in org.tensorflow.proto: Protocol buffer representing a CondContext object.
CondContextDefOrBuilder - Interface in org.tensorflow.proto
condition - Variable in class org.tensorflow.op.core.AssertThat.Inputs: The condition to evaluate.
condition - Variable in class org.tensorflow.op.core.Select.Inputs: The condition input
condition - Variable in class org.tensorflow.op.core.Where.Inputs: The condition input
conditionalAccumulator(Class, Shape, ConditionalAccumulator.Options...) - Method in class org.tensorflow.op.TrainOps: A conditional accumulator for aggregating gradients.
ConditionalAccumulator - Class in org.tensorflow.op.train: A conditional accumulator for aggregating gradients.
ConditionalAccumulator(Operation) - Constructor for class org.tensorflow.op.train.ConditionalAccumulator
ConditionalAccumulator.Inputs - Class in org.tensorflow.op.train
ConditionalAccumulator.Options - Class in org.tensorflow.op.train: Optional attributes for ConditionalAccumulator
config - Variable in class org.tensorflow.op.core.PartitionedCall.Inputs: The config attribute
config - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.ComputeDedupDataSize.Inputs: Serialized TPUEmbeddingConfiguration proto.
config - Variable in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask.Inputs: Serialized TPUEmbeddingConfiguration proto.
config - Variable in class org.tensorflow.op.tpu.ConfigureTPUEmbedding.Inputs: Serialized tensorflow.tpu.TPUEmbeddingConfiguration that describes the embedding lookups of the program.
config - Variable in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost.Inputs: An TPUEmbeddingConfiguration proto serialized to a string, describing the desired TPUEmbedding configuration.
config - Variable in class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner.Inputs: An TPUEmbeddingConfiguration proto serialized to a string, describing the desired TPUEmbedding configuration.
config - Variable in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: An TPUEmbeddingConfiguration proto describing the table parameters being loaded, serialized to a string.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.MergeDedupData.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations.Inputs: Serialized TPUEmbeddingConfiguration proto.
config - Variable in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters.Inputs: An TPUEmbeddingConfiguration proto describing the table parameters being loaded, serialized to a string.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Inputs: Serialized TPUEmbeddingConfiguration proto.
config - Variable in class org.tensorflow.op.tpu.SplitDedupData.Inputs: The config attribute
config - Variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations.Inputs: Serialized TPUEmbeddingConfiguration proto.
config - Variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData.Inputs: Serialized TPUEmbeddingConfiguration proto.
config - Variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs: Serialized TPUEmbeddingConfiguration proto.
config(String) - Static method in class org.tensorflow.op.core.PartitionedCall: Sets the config option.
config(String) - Method in class org.tensorflow.op.core.PartitionedCall.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.core.StatefulPartitionedCall: Sets the config option.
config(String) - Method in class org.tensorflow.op.core.StatefulPartitionedCall.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.MergeDedupData: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.MergeDedupData.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.SplitDedupData: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.SplitDedupData.Options: Sets the config option.
config(ConfigProto) - Method in class org.tensorflow.EagerSession.Options: Configures the session based on the data found in the provided configuration.
CONFIG_NOT_SET - Enum constant in enum org.tensorflow.proto.FeatureConfiguration.ConfigCase
configProto - Variable in class org.tensorflow.op.core.PartitionedCall.Inputs: The configProto attribute
configProto - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: The configProto attribute
configProto(String) - Static method in class org.tensorflow.op.core.PartitionedCall: Sets the configProto option.
configProto(String) - Method in class org.tensorflow.op.core.PartitionedCall.Options: Sets the configProto option.
configProto(String) - Static method in class org.tensorflow.op.core.StatefulPartitionedCall: Sets the configProto option.
configProto(String) - Method in class org.tensorflow.op.core.StatefulPartitionedCall.Options: Sets the configProto option.
ConfigProto - Class in org.tensorflow.proto: Session configuration parameters.
ConfigProto.Builder - Class in org.tensorflow.proto: Session configuration parameters.
ConfigProto.Experimental - Class in org.tensorflow.proto: Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
ConfigProto.Experimental.Builder - Class in org.tensorflow.proto: Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
ConfigProto.Experimental.MlirBridgeRollout - Enum in org.tensorflow.proto: An enum that describes the state of the MLIR bridge rollout.
ConfigProto.ExperimentalOrBuilder - Interface in org.tensorflow.proto
ConfigProtoOrBuilder - Interface in org.tensorflow.proto
ConfigProtos - Class in org.tensorflow.proto
configureAndInitializeGlobalTPU(ConfigureAndInitializeGlobalTPU.Options...) - Method in class org.tensorflow.op.TpuOps: An op that sets up the centralized structures for a distributed TPU system.
ConfigureAndInitializeGlobalTPU - Class in org.tensorflow.op.tpu: An op that sets up the centralized structures for a distributed TPU system.
ConfigureAndInitializeGlobalTPU(Operation) - Constructor for class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU
ConfigureAndInitializeGlobalTPU.Inputs - Class in org.tensorflow.op.tpu
ConfigureAndInitializeGlobalTPU.Options - Class in org.tensorflow.op.tpu: Optional attributes for ConfigureAndInitializeGlobalTPU
configureDistributedTPU(ConfigureDistributedTPU.Options...) - Method in class org.tensorflow.op.TpuOps: Sets up the centralized structures for a distributed TPU system.
ConfigureDistributedTPU - Class in org.tensorflow.op.tpu: Sets up the centralized structures for a distributed TPU system.
ConfigureDistributedTPU(Operation) - Constructor for class org.tensorflow.op.tpu.ConfigureDistributedTPU
ConfigureDistributedTPU.Inputs - Class in org.tensorflow.op.tpu
ConfigureDistributedTPU.Options - Class in org.tensorflow.op.tpu: Optional attributes for ConfigureDistributedTPU
configureTPUEmbedding(String) - Method in class org.tensorflow.op.TpuOps: Sets up TPUEmbedding in a distributed TPU system.
ConfigureTPUEmbedding - Class in org.tensorflow.op.tpu: Sets up TPUEmbedding in a distributed TPU system.
ConfigureTPUEmbedding(Operation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbedding
ConfigureTPUEmbedding.Inputs - Class in org.tensorflow.op.tpu
configureTPUEmbeddingHost(Operand, Operand, String) - Method in class org.tensorflow.op.TpuOps: An op that configures the TPUEmbedding software on a host.
ConfigureTPUEmbeddingHost - Class in org.tensorflow.op.tpu: An op that configures the TPUEmbedding software on a host.
ConfigureTPUEmbeddingHost(Operation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost
ConfigureTPUEmbeddingHost.Inputs - Class in org.tensorflow.op.tpu
configureTPUEmbeddingMemory(Operand) - Method in class org.tensorflow.op.TpuOps: An op that configures the TPUEmbedding software on a host.
ConfigureTPUEmbeddingMemory - Class in org.tensorflow.op.tpu: An op that configures the TPUEmbedding software on a host.
ConfigureTPUEmbeddingMemory(Operation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory
ConfigureTPUEmbeddingMemory.Inputs - Class in org.tensorflow.op.tpu
confusionMatrix(Scope, Operand, Operand) - Static method in class org.tensorflow.framework.op.math.ConfusionMatrix: Computes the confusion matrix from predictions and labels.
confusionMatrix(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.framework.op.math.ConfusionMatrix: Computes the confusion matrix from predictions and labels.
confusionMatrix(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.framework.op.math.ConfusionMatrix: Computes the confusion matrix from predictions and labels.
confusionMatrix(Operand, Operand) - Method in class org.tensorflow.framework.op.MathOps: Computes the confusion matrix from predictions and labels.
confusionMatrix(Operand, Operand, Operand) - Method in class org.tensorflow.framework.op.MathOps: Computes the confusion matrix from predictions and labels.
confusionMatrix(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.framework.op.MathOps: Computes the confusion matrix from predictions and labels.
ConfusionMatrix - Class in org.tensorflow.framework.op.math: Confusion Matrix Operations
ConfusionMatrix() - Constructor for class org.tensorflow.framework.op.math.ConfusionMatrix
conj(Operand) - Method in class org.tensorflow.op.MathOps: Returns the complex conjugate of a complex number.
Conj<T> - Class in org.tensorflow.op.math: Returns the complex conjugate of a complex number.
Conj(Operation) - Constructor for class org.tensorflow.op.math.Conj
Conj.Inputs<T> - Class in org.tensorflow.op.math
conjugate - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Inputs: Indicates whether input should be conjugated.
conjugate(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose: Sets the conjugate option.
conjugate(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Options: Sets the conjugate option.
conjugateOutput - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Conjugates the product of a and b.
conjugateOutput(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the conjugateOutput option.
conjugateOutput(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the conjugateOutput option.
conjugateTranspose(Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: Shuffle dimensions of x according to a permutation and conjugate the result.
ConjugateTranspose<T> - Class in org.tensorflow.op.linalg: Shuffle dimensions of x according to a permutation and conjugate the result.
ConjugateTranspose(Operation) - Constructor for class org.tensorflow.op.linalg.ConjugateTranspose
ConjugateTranspose.Inputs<T> - Class in org.tensorflow.op.linalg
connectTPUEmbeddingHosts(Iterable) - Method in class org.tensorflow.op.TpuOps: An op that sets up communication between TPUEmbedding host software instances after ConfigureTPUEmbeddingHost has been called on each host.
ConnectTPUEmbeddingHosts - Class in org.tensorflow.op.tpu: An op that sets up communication between TPUEmbedding host software instances after ConfigureTPUEmbeddingHost has been called on each host.
ConnectTPUEmbeddingHosts(Operation) - Constructor for class org.tensorflow.op.tpu.ConnectTPUEmbeddingHosts
ConnectTPUEmbeddingHosts.Inputs - Class in org.tensorflow.op.tpu
CONST_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferInfo
constant(boolean) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single boolean element.
constant(boolean[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of boolean elements.
constant(boolean[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of boolean elements.
constant(boolean[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of boolean elements.
constant(boolean[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of boolean elements.
constant(boolean[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of boolean elements.
constant(boolean[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of boolean elements.
constant(byte) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single byte element.
constant(byte[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of byte elements.
constant(byte[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of byte elements.
constant(byte[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of byte elements.
constant(byte[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of byte elements.
constant(byte[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of byte elements.
constant(byte[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of byte elements.
constant(double) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single double element.
constant(double[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of double elements.
constant(double[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of double elements.
constant(double[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of double elements.
constant(double[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of double elements.
constant(double[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of double elements.
constant(double[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of double elements.
constant(float) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single float element.
constant(float[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of float elements.
constant(float[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of float elements.
constant(float[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of float elements.
constant(float[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of float elements.
constant(float[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of float elements.
constant(float[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of float elements.
constant(int) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single int element.
constant(int[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of int elements.
constant(int[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of int elements.
constant(int[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of int elements.
constant(int[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of int elements.
constant(int[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of int elements.
constant(int[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of int elements.
constant(long) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single long element.
constant(long[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of long elements.
constant(long[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of long elements.
constant(long[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of long elements.
constant(long[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of long elements.
constant(long[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of long elements.
constant(long[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of long elements.
constant(Class, Number) - Method in class org.tensorflow.op.Ops: Creates a scalar of type, with the value of number.
constant(Class, Shape, ByteDataBuffer) - Method in class org.tensorflow.op.Ops: Create a constant with data from the given buffer.
constant(String) - Method in class org.tensorflow.op.Ops: Creates a String constant using the default, UTF-8 encoding.
constant(Charset, String) - Method in class org.tensorflow.op.Ops: Creates a String constant using a specified encoding.
constant(Charset, String[]) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements, using the given charset.
constant(Charset, NdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements that is a copy of a given n-dimensional array, using the given encoding.
constant(Charset, Shape, DataBuffer) - Method in class org.tensorflow.op.Ops: Create a TString constant with data from the given buffer, using the given encoding.
constant(BooleanNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of boolean elements that is a copy of a given n-dimensional array.
constant(ByteNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of byte elements that is a copy of a given n-dimensional array.
constant(DoubleNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of double elements that is a copy of a given n-dimensional array.
constant(FloatNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of float elements that is a copy of a given n-dimensional array.
constant(IntNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of int elements that is a copy of a given n-dimensional array.
constant(LongNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of long elements that is a copy of a given n-dimensional array.
constant(NdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements that is a copy of a given n-dimensional array, using the default UTF-8 encoding.
constant(Shape) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of long elements representing the size of each dimensions of the given shape.
constant(Shape, BooleanDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TBool constant with data from the given buffer.
constant(Shape, ByteDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TUint8 constant with data from the given buffer.
constant(Shape, DataBuffer) - Method in class org.tensorflow.op.Ops: Create a TString constant with data from the given buffer, using the default UTF-8 encoding.
constant(Shape, DoubleDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TFloat64 constant with data from the given buffer.
constant(Shape, FloatDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TFloat32 constant with data from the given buffer.
constant(Shape, IntDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TInt32 constant with data from the given buffer.
constant(Shape, LongDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TInt64 constant with data from the given buffer.
Constant<T> - Class in org.tensorflow.framework.initializers: Initializer that generates tensors with a constant value.
Constant<T> - Class in org.tensorflow.op.core: An operator producing a constant value.
Constant(boolean) - Constructor for class org.tensorflow.framework.initializers.Constant: Creates an Initializer that generates tensors with a constant value.
Constant(double) - Constructor for class org.tensorflow.framework.initializers.Constant: Creates an Initializer that generates tensors with a constant value.
Constant(long) - Constructor for class org.tensorflow.framework.initializers.Constant: Creates an Initializer that generates tensors with a constant value.
CONSTANT - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase
CONSTANT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
CONSTANT_FOLDING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
constantOf(T) - Method in class org.tensorflow.op.Ops: Create a constant by making an immutable copy of tensor.
constantOfSameType(Operand, Number) - Method in class org.tensorflow.op.Ops: Creates a scalar of the same type as toMatch, with the value of number.
constantValues - Variable in class org.tensorflow.op.core.Pad.Inputs: The constantValues input
Constraint - Interface in org.tensorflow.framework.constraints
CONSTRAINT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.KernelDef
consumeMutexLock(Operand) - Method in class org.tensorflow.op.Ops: This op consumes a lock created by MutexLock.
ConsumeMutexLock - Class in org.tensorflow.op.core: This op consumes a lock created by MutexLock.
ConsumeMutexLock(Operation) - Constructor for class org.tensorflow.op.core.ConsumeMutexLock
ConsumeMutexLock.Inputs - Class in org.tensorflow.op.core
consumerIndex - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The consumerIndex input
consumers() - Method in class org.tensorflow.GraphOperation: Get the ops that use any of this op's outputs as an input, not including control dependencies.
consumers(int) - Method in class org.tensorflow.GraphOperation: Get the ops that use this op's designated output as an input, not including control dependencies.
container - Variable in class org.tensorflow.op.core.Barrier.Inputs: If non-empty, this barrier is placed in the given container.
container - Variable in class org.tensorflow.op.core.Batch.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Controls the scope of sharing of this batch.
container - Variable in class org.tensorflow.op.core.HashTable.Inputs: If non-empty, this table is placed in the given container.
container - Variable in class org.tensorflow.op.core.MapClear.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.MapSize.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.MapStage.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: If non-empty, this table is placed in the given container.
container - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: If non-empty, this table is placed in the given container.
container - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: If non-empty, this table is placed in the given container.
container - Variable in class org.tensorflow.op.core.Mutex.Inputs: If non-empty, this variable is placed in the given container.
container - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.Stage.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.core.StageClear.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.StageSize.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.Unstage.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: the container this variable is placed in.
container - Variable in class org.tensorflow.op.core.Variable.Inputs: If non-empty, this variable is placed in the given container.
container - Variable in class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Inputs: The container attribute
container - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: The container attribute
container - Variable in class org.tensorflow.op.data.Iterator.Inputs: The container attribute
container - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: If non-empty, this resource is placed in the given container.
container - Variable in class org.tensorflow.op.data.OneShotIterator.Inputs: The container attribute
container - Variable in class org.tensorflow.op.data.StatsAggregatorHandle.Inputs: The container attribute
container - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: The container attribute
container - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: If non-empty, this reader is placed in the given container.
container - Variable in class org.tensorflow.op.io.IdentityReader.Inputs: If non-empty, this reader is placed in the given container.
container - Variable in class org.tensorflow.op.io.LmdbReader.Inputs: If non-empty, this reader is placed in the given container.
container - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.io.TextLineReader.Inputs: If non-empty, this reader is placed in the given container.
container - Variable in class org.tensorflow.op.io.TfRecordReader.Inputs: If non-empty, this reader is placed in the given container.
container - Variable in class org.tensorflow.op.io.WholeFileReader.Inputs: If non-empty, this reader is placed in the given container.
container - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: The container name for the SparseTensorsMap created by this op.
container - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: The container name for the SparseTensorsMap created by this op.
container - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: If non-empty, this accumulator is placed in the given container.
container - Variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs: The container name for the SparseTensorsMap read by this op.
container - Variable in class org.tensorflow.op.summary.SummaryWriter.Inputs: The container attribute
container - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: If non-empty, this accumulator is placed in the given container.
container - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: If non-empty, this accumulator is placed in the given container.
container(String) - Static method in class org.tensorflow.op.core.Barrier: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Batch: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Batch.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.HashTable: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.HashTable.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapClear: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapClear.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapPeek: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapPeek.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapSize: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapStage: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapStage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapUnstage: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapUnstage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MutableHashTable: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MutableHashTable.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Mutex: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Mutex.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapClear: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapClear.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapSize: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapStage: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapStage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Stage: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Stage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.StageClear: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.StageClear.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.StagePeek: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.StagePeek.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.StageSize: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.StageSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Unbatch: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Unbatch.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.UnbatchGrad: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.UnbatchGrad.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Unstage: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Unstage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Variable: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Variable.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: Sets the container option.
container(String) - Method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Sets the container option.
container(String) - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.OneShotIterator: Sets the container option.
container(String) - Method in class org.tensorflow.op.data.OneShotIterator.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.StatsAggregatorHandle: Sets the container option.
container(String) - Method in class org.tensorflow.op.data.StatsAggregatorHandle.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.ThreadPoolHandle: Sets the container option.
container(String) - Method in class org.tensorflow.op.data.ThreadPoolHandle.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.IdentityReader: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.IdentityReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.LmdbReader: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.LmdbReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.PriorityQueue: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.PriorityQueue.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.TextLineReader: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.TextLineReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.TfRecordReader: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.TfRecordReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.WholeFileReader: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.WholeFileReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: Sets the container option.
container(String) - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.sparse.AddSparseToTensorsMap: Sets the container option.
container(String) - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Sets the container option.
container(String) - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Sets the container option.
container(String) - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.summary.SummaryWriter: Sets the container option.
container(String) - Method in class org.tensorflow.op.summary.SummaryWriter.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.train.ConditionalAccumulator: Sets the container option.
container(String) - Method in class org.tensorflow.op.train.ConditionalAccumulator.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Sets the container option.
container(String) - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator.Options: Sets the container option.
CONTAINER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ResourceHandleProto
containsArgAttr(int) - Method in class org.tensorflow.proto.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
containsArgAttr(int) - Method in class org.tensorflow.proto.FunctionDef: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
containsArgAttr(int) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
containsAttr(String) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
containsAttr(String) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs: map<string, .tensorflow.AttrValue> attr = 1;
containsAttr(String) - Method in interface org.tensorflow.proto.FunctionDef.ArgAttrsOrBuilder: map<string, .tensorflow.AttrValue> attr = 1;
containsAttr(String) - Method in class org.tensorflow.proto.FunctionDef.Builder: Attributes specific to this function definition.
containsAttr(String) - Method in class org.tensorflow.proto.FunctionDef: Attributes specific to this function definition.
containsAttr(String) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Attributes specific to this function definition.
containsAttr(String) - Method in class org.tensorflow.proto.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
containsAttr(String) - Method in class org.tensorflow.proto.NameAttrList: map<string, .tensorflow.AttrValue> attr = 2;
containsAttr(String) - Method in interface org.tensorflow.proto.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
containsAttr(String) - Method in class org.tensorflow.proto.NodeDef.Builder: Operation-specific graph-construction-time configuration.
containsAttr(String) - Method in class org.tensorflow.proto.NodeDef: Operation-specific graph-construction-time configuration.
containsAttr(String) - Method in interface org.tensorflow.proto.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
containsAttr(String) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Custom parameters impacting the behavior of the op.
containsAttr(String) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Custom parameters impacting the behavior of the op.
containsAttr(String) - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Custom parameters impacting the behavior of the op.
containsCacheSize(String) - Method in class org.tensorflow.proto.CPUInfo.Builder: Cache sizes (in bytes), e.g.
containsCacheSize(String) - Method in class org.tensorflow.proto.CPUInfo: Cache sizes (in bytes), e.g.
containsCacheSize(String) - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: Cache sizes (in bytes), e.g.
containsCollectionDef(String) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
containsCollectionDef(String) - Method in class org.tensorflow.proto.MetaGraphDef: collection_def: Map from collection name to collections.
containsCollectionDef(String) - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
containsConcreteFunctions(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
containsConcreteFunctions(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph: Information about captures and output structures in concrete functions.
containsConcreteFunctions(String) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraphOrBuilder: Information about captures and output structures in concrete functions.
containsControlRet(String) - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
containsControlRet(String) - Method in class org.tensorflow.proto.FunctionDef: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
containsControlRet(String) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
containsDefaults(String) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input to corresponding default values if any.
containsDefaults(String) - Method in class org.tensorflow.proto.SignatureDef: Named input to corresponding default values if any.
containsDefaults(String) - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named input to corresponding default values if any.
containsDeviceCount(String) - Method in class org.tensorflow.proto.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
containsDeviceCount(String) - Method in class org.tensorflow.proto.ConfigProto: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
containsDeviceCount(String) - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
containsEnvironment(String) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
containsEnvironment(String) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
containsEnvironment(String) - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
containsEnvVars(String) - Method in class org.tensorflow.proto.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
containsEnvVars(String) - Method in class org.tensorflow.proto.RunConfiguration: Environment variables used to run the test/benchmark.
containsEnvVars(String) - Method in interface org.tensorflow.proto.RunConfigurationOrBuilder: Environment variables used to run the test/benchmark.
containsEventMetadata(long) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
containsEventMetadata(long) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XEventMetadata map, each entry uses the XEventMetadata.id as key.
containsEventMetadata(long) - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
containsExternalValues(String) - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names referenced by but external to this context.
containsExternalValues(String) - Method in class org.tensorflow.proto.ValuesDef: Value names referenced by but external to this context.
containsExternalValues(String) - Method in interface org.tensorflow.proto.ValuesDefOrBuilder: Value names referenced by but external to this context.
containsExtras(String) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Generic map from result key to value.
containsExtras(String) - Method in class org.tensorflow.proto.BenchmarkEntry: Generic map from result key to value.
containsExtras(String) - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Generic map from result key to value.
containsFeature(String) - Method in class org.tensorflow.proto.Features.Builder: Map from feature name to feature.
containsFeature(String) - Method in class org.tensorflow.proto.Features: Map from feature name to feature.
containsFeature(String) - Method in interface org.tensorflow.proto.FeaturesOrBuilder: Map from feature name to feature.
containsFeatureList(String) - Method in class org.tensorflow.proto.FeatureLists.Builder: Map from feature name to feature list.
containsFeatureList(String) - Method in class org.tensorflow.proto.FeatureLists: Map from feature name to feature list.
containsFeatureList(String) - Method in interface org.tensorflow.proto.FeatureListsOrBuilder: Map from feature name to feature list.
containsFeatureMap(String) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
containsFeatureMap(String) - Method in class org.tensorflow.proto.ExampleParserConfiguration: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
containsFeatureMap(String) - Method in interface org.tensorflow.proto.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
containsFeedDevices(String) - Method in class org.tensorflow.proto.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
containsFeedDevices(String) - Method in class org.tensorflow.proto.CallableOptions: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
containsFeedDevices(String) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
containsFetchDevices(String) - Method in class org.tensorflow.proto.CallableOptions.Builder: map<string, string> fetch_devices = 7;
containsFetchDevices(String) - Method in class org.tensorflow.proto.CallableOptions: map<string, string> fetch_devices = 7;
containsFetchDevices(String) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
containsFields(String) - Method in class org.tensorflow.proto.Struct.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
containsFields(String) - Method in class org.tensorflow.proto.Struct.DictValue: map<string, .tensorflow.StructuredValue> fields = 1;
containsFields(String) - Method in interface org.tensorflow.proto.Struct.DictValueOrBuilder: map<string, .tensorflow.StructuredValue> fields = 1;
containsFramesById(long) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Stack traces and frames are uniqueified during construction.
containsFramesById(long) - Method in class org.tensorflow.proto.GraphDebugInfo: Stack traces and frames are uniqueified during construction.
containsFramesById(long) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Stack traces and frames are uniqueified during construction.
containsFunctionAliases(String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
containsFunctionAliases(String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: FunctionDef name to aliases mapping.
containsFunctionAliases(String) - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: FunctionDef name to aliases mapping.
containsInputs(String) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input parameters.
containsInputs(String) - Method in class org.tensorflow.proto.SignatureDef: Named input parameters.
containsInputs(String) - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named input parameters.
containsKey(String) - Method in class org.tensorflow.Result: Does this result object have a tensor for the supplied key?
containsNameToTraceId(String) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This maps a node name to a trace id contained in `traces_by_id`.
containsNameToTraceId(String) - Method in class org.tensorflow.proto.GraphDebugInfo: This maps a node name to a trace id contained in `traces_by_id`.
containsNameToTraceId(String) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: This maps a node name to a trace id contained in `traces_by_id`.
containsNodeNameToControlRet(String) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Maps from node name to control ret.
containsNodeNameToControlRet(String) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Maps from node name to control ret.
containsNodeNameToControlRet(String) - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Maps from node name to control ret.
containsNodes(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: Map of node IDs to nodes of this model.
containsNodes(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto: Map of node IDs to nodes of this model.
containsNodes(long) - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: Map of node IDs to nodes of this model.
containsOutputs(String) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named output parameters.
containsOutputs(String) - Method in class org.tensorflow.proto.SignatureDef: Named output parameters.
containsOutputs(String) - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named output parameters.
containsParameterMap(String) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
containsParameterMap(String) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer: map<string, .tensorflow.AttrValue> parameter_map = 2;
containsParameterMap(String) - Method in interface org.tensorflow.proto.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
containsPayloads(String) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder: map<string, bytes> payloads = 1;
containsPayloads(String) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer: map<string, bytes> payloads = 1;
containsPayloads(String) - Method in interface org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainerOrBuilder: map<string, bytes> payloads = 1;
containsResourceArgUniqueId(int) - Method in class org.tensorflow.proto.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
containsResourceArgUniqueId(int) - Method in class org.tensorflow.proto.FunctionDef: Unique IDs for each resource argument, used to track aliasing resources.
containsResourceArgUniqueId(int) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Unique IDs for each resource argument, used to track aliasing resources.
containsRet(String) - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
containsRet(String) - Method in class org.tensorflow.proto.FunctionDef: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
containsRet(String) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
containsSaveableObjects(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Stores the functions used to save and restore this object.
containsSaveableObjects(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Stores the functions used to save and restore this object.
containsSaveableObjects(String) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Stores the functions used to save and restore this object.
containsSignatureDef(String) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
containsSignatureDef(String) - Method in class org.tensorflow.proto.MetaGraphDef: signature_def: Map from user supplied key for a signature to a single SignatureDef.
containsSignatureDef(String) - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
containsStatMetadata(long) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
containsStatMetadata(long) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XStatMetadata map, each entry uses the XStatMetadata.id as key.
containsStatMetadata(long) - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
containsTasks(int) - Method in class org.tensorflow.proto.JobDef.Builder: Mapping from task ID to "hostname:port" string.
containsTasks(int) - Method in class org.tensorflow.proto.JobDef: Mapping from task ID to "hostname:port" string.
containsTasks(int) - Method in interface org.tensorflow.proto.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
containsTasks(int) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
containsTasks(int) - Method in class org.tensorflow.proto.JobDeviceFilters: Mapping from task ID to task device filters.
containsTasks(int) - Method in interface org.tensorflow.proto.JobDeviceFiltersOrBuilder: Mapping from task ID to task device filters.
containsThreadNames(int) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: Its key is thread id.
containsThreadNames(int) - Method in class org.tensorflow.proto.DeviceStepStats: Its key is thread id.
containsThreadNames(int) - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: Its key is thread id.
containsTraces(String) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
containsTraces(String) - Method in class org.tensorflow.proto.GraphDebugInfo: Deprecated.
containsTraces(String) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Deprecated.
containsTracesById(long) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
containsTracesById(long) - Method in class org.tensorflow.proto.GraphDebugInfo: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
containsTracesById(long) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
CONTENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SummaryMetadata.PluginData
CONTENT_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Audio
contents - Variable in class org.tensorflow.op.audio.DecodeWav.Inputs: The WAV-encoded audio, usually from a file.
contents - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodeBmp.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodeGif.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodeImage.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodePng.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.ExtractJpegShape.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.io.WriteFile.Inputs: scalar.
contents() - Method in class org.tensorflow.op.audio.EncodeWav: Gets contents. 0-D.
contents() - Method in class org.tensorflow.op.image.EncodeJpeg: Gets contents. 0-D.
contents() - Method in class org.tensorflow.op.image.EncodeJpegVariableQuality: Gets contents. 0-D.
contents() - Method in class org.tensorflow.op.image.EncodePng: Gets contents. 0-D.
contents() - Method in class org.tensorflow.op.io.ReadFile: Gets contents.
context - Variable in class org.tensorflow.internal.c_api.AbstractTFE_Op: A reference to prevent deallocation.
context() - Method in class org.tensorflow.internal.c_api.TFE_CancelCallback
context(Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CancelCallback
CONTEXT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SequenceExample
CONTEXT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CondContextDef
CONTEXT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WhileContextDef
contextDenseDefaults - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Ncontext_dense Tensors (some may be empty). context_dense_defaults[j] provides default values when the SequenceExample's context map lacks context_dense_key[j].
contextDenseDefaults - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_dense Tensors (some may be empty). context_dense_defaults[j] provides default values when the SequenceExample's context map lacks context_dense_key[j].
contextDenseKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the SequenceExamples' context features associated with dense values.
contextDenseKeys - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_dense string Tensors (scalars).
contextDenseShapes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Ncontext_dense shapes; the shapes of data in each context Feature given in context_dense_keys.
contextDenseShapes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_dense shapes; the shapes of data in each context Feature given in context_dense_keys.
contextDenseShapes(List) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the contextDenseShapes option.
contextDenseShapes(List) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the contextDenseShapes option.
contextDenseShapes(List) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the contextDenseShapes option.
contextDenseShapes(List) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the contextDenseShapes option.
contextDenseShapes(Shape...) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the contextDenseShapes option.
contextDenseShapes(Shape...) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the contextDenseShapes option.
contextDenseShapes(Shape...) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the contextDenseShapes option.
contextDenseShapes(Shape...) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the contextDenseShapes option.
contextDenseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextDenseValues.
contextDenseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets contextDenseValues.
contextRaggedKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the Examples' features associated with context_ragged values.
contextRaggedRowSplits() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextRaggedRowSplits.
contextRaggedSplitTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: RaggedTensor.row_split dtypes for the ragged context features.
contextRaggedValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextRaggedValues.
contextRaggedValueTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: RaggedTensor.value dtypes for the ragged context features.
contextSparseIndices() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextSparseIndices.
contextSparseIndices() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets contextSparseIndices.
contextSparseKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the Examples' features associated with context_sparse values.
contextSparseKeys - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_sparse string Tensors (scalars).
contextSparseShapes() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextSparseShapes.
contextSparseShapes() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets contextSparseShapes.
contextSparseTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Ncontext_sparse types; the data types of data in each context Feature given in context_sparse_keys.
contextSparseTypes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_sparse types; the data types of data in each context Feature given in context_sparse_keys.
contextSparseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextSparseValues.
contextSparseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets contextSparseValues.
contrastFactor - Variable in class org.tensorflow.op.image.AdjustContrast.Inputs: A float multiplier for adjusting contrast.
CONTROL_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
CONTROL_OUTPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
CONTROL_RET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FunctionDef
controlConsumers() - Method in class org.tensorflow.GraphOperation: Get the ops with this op as a control dependency.
ControlFlowContextDef - Class in org.tensorflow.proto: Container for any kind of control flow context.
ControlFlowContextDef.Builder - Class in org.tensorflow.proto: Container for any kind of control flow context.
ControlFlowContextDef.CtxtCase - Enum in org.tensorflow.proto
ControlFlowContextDefOrBuilder - Interface in org.tensorflow.proto
ControlFlowProtos - Class in org.tensorflow.proto
controlInputs() - Method in class org.tensorflow.GraphOperation: Get the control inputs of this op.
controlTrigger() - Method in class org.tensorflow.op.Ops: Does nothing.
ControlTrigger - Class in org.tensorflow.op.core: Does nothing.
ControlTrigger(Operation) - Constructor for class org.tensorflow.op.core.ControlTrigger
ControlTrigger.Inputs - Class in org.tensorflow.op.core
conv(Operand, Operand, List, String, Conv.Options...) - Method in class org.tensorflow.op.NnOps: Computes a N-D convolution given (N+1+batch_dims)-D input and (N+2)-D filter tensors.
Conv<T> - Class in org.tensorflow.op.nn: Computes a N-D convolution given (N+1+batch_dims)-D input and (N+2)-D filter tensors.
Conv(Operation) - Constructor for class org.tensorflow.op.nn.Conv
Conv.Inputs<T> - Class in org.tensorflow.op.nn
Conv.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv
conv2d(Operand, Operand, List, String, Conv2d.Options...) - Method in class org.tensorflow.op.NnOps: Computes a 2-D convolution given 4-D input and filter tensors.
Conv2d<T> - Class in org.tensorflow.op.nn: Computes a 2-D convolution given 4-D input and filter tensors.
Conv2d(Operation) - Constructor for class org.tensorflow.op.nn.Conv2d
Conv2d.Inputs<T> - Class in org.tensorflow.op.nn
Conv2d.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2d
conv2dBackpropFilter(Operand, Operand, Operand, List, String, Conv2dBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of convolution with respect to the filter.
Conv2dBackpropFilter<T> - Class in org.tensorflow.op.nn: Computes the gradients of convolution with respect to the filter.
Conv2dBackpropFilter(Operation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropFilter
Conv2dBackpropFilter.Inputs<T> - Class in org.tensorflow.op.nn
Conv2dBackpropFilter.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2dBackpropFilter
Conv2dBackpropFilterV2<T> - Class in org.tensorflow.op.nn: Computes the gradients of convolution with respect to the filter.
Conv2dBackpropFilterV2(Operation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropFilterV2
Conv2dBackpropFilterV2.Inputs<T> - Class in org.tensorflow.op.nn
Conv2dBackpropFilterV2.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2dBackpropFilterV2
conv2dBackpropInput(Operand, Operand, Operand, List, String, Conv2dBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of convolution with respect to the input.
Conv2dBackpropInput<T> - Class in org.tensorflow.op.nn: Computes the gradients of convolution with respect to the input.
Conv2dBackpropInput(Operation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropInput
Conv2dBackpropInput.Inputs<T> - Class in org.tensorflow.op.nn
Conv2dBackpropInput.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2dBackpropInput
Conv2dBackpropInputV2<T> - Class in org.tensorflow.op.nn: Computes the gradients of convolution with respect to the input.
Conv2dBackpropInputV2(Operation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropInputV2
Conv2dBackpropInputV2.Inputs<T> - Class in org.tensorflow.op.nn
Conv2dBackpropInputV2.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2dBackpropInputV2
conv3d(Operand, Operand, List, String, Conv3d.Options...) - Method in class org.tensorflow.op.NnOps: Computes a 3-D convolution given 5-D input and filter tensors.
Conv3d<T> - Class in org.tensorflow.op.nn: Computes a 3-D convolution given 5-D input and filter tensors.
Conv3d(Operation) - Constructor for class org.tensorflow.op.nn.Conv3d
Conv3d.Inputs<T> - Class in org.tensorflow.op.nn
Conv3d.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv3d
conv3dBackpropFilter(Operand, Operand, Operand, List, String, Conv3dBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of 3-D convolution with respect to the filter.
Conv3dBackpropFilter<T> - Class in org.tensorflow.op.nn: Computes the gradients of 3-D convolution with respect to the filter.
Conv3dBackpropFilter(Operation) - Constructor for class org.tensorflow.op.nn.Conv3dBackpropFilter
Conv3dBackpropFilter.Inputs<T> - Class in org.tensorflow.op.nn
Conv3dBackpropFilter.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv3dBackpropFilter
conv3dBackpropInput(Operand, Operand, Operand, List, String, Conv3dBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of 3-D convolution with respect to the input.
Conv3dBackpropInput - Class in org.tensorflow.op.nn: Computes the gradients of 3-D convolution with respect to the input.
Conv3dBackpropInput(Operation) - Constructor for class org.tensorflow.op.nn.Conv3dBackpropInput
Conv3dBackpropInput.Inputs - Class in org.tensorflow.op.nn
Conv3dBackpropInput.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv3dBackpropInput
convertToCooTensor(Operand, Operand, Operand, Long, String) - Method in class org.tensorflow.op.TpuOps: The ConvertToCooTensor operation
ConvertToCooTensor - Class in org.tensorflow.op.tpu: The ConvertToCooTensor operation
ConvertToCooTensor(Operation) - Constructor for class org.tensorflow.op.tpu.ConvertToCooTensor
ConvertToCooTensor.Inputs - Class in org.tensorflow.op.tpu
convertToListOfSparseCoreCooTensors(Operand, Operand, Operand, Long, Long, Long, Long, Long, Long, Long, String) - Method in class org.tensorflow.op.SparseOps: The ConvertToListOfSparseCoreCooTensors operation
ConvertToListOfSparseCoreCooTensors - Class in org.tensorflow.op.sparse: The ConvertToListOfSparseCoreCooTensors operation
ConvertToListOfSparseCoreCooTensors(Operation) - Constructor for class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors
ConvertToListOfSparseCoreCooTensors.Inputs - Class in org.tensorflow.op.sparse
convertToSparseCoreCsrWrappedCooTensor(Iterable, Iterable, Iterable, Iterable, Operand, Long, Long, Long, Long, Long, Long, String, Boolean) - Method in class org.tensorflow.op.SparseOps: The ConvertToSparseCoreCsrWrappedCooTensor operation
ConvertToSparseCoreCsrWrappedCooTensor - Class in org.tensorflow.op.sparse: The ConvertToSparseCoreCsrWrappedCooTensor operation
ConvertToSparseCoreCsrWrappedCooTensor(Operation) - Constructor for class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor
ConvertToSparseCoreCsrWrappedCooTensor.Inputs - Class in org.tensorflow.op.sparse
COO_SPARSE - Enum constant in enum org.tensorflow.proto.TensorInfo.EncodingCase
COO_SPARSE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorInfo
COORDINATED_JOB_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
COORDINATION_CONFIG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
CoordinationConfig - Class in org.tensorflow.proto
CoordinationConfig.CoordinatedJob - Class in org.tensorflow.proto: Represents a job type and the number of tasks under this job.
CoordinationConfig.CoordinatedJob.Builder - Class in org.tensorflow.proto: Represents a job type and the number of tasks under this job.
CoordinationConfig.CoordinatedJobOrBuilder - Interface in org.tensorflow.proto
CoordinationConfig.CoordinationServiceConfig - Class in org.tensorflow.proto: Coordination service configuration parameters.
CoordinationConfig.CoordinationServiceConfig.Builder - Class in org.tensorflow.proto: Coordination service configuration parameters.
CoordinationConfig.CoordinationServiceConfigOrBuilder - Interface in org.tensorflow.proto
Copy<T> - Class in org.tensorflow.op.core: Copy a tensor from CPU-to-CPU or GPU-to-GPU.
Copy(Operation) - Constructor for class org.tensorflow.op.core.Copy
copy_tensor_from_device() - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
copy_tensor_from_device(TFE_CustomDevice.Copy_tensor_from_device_TFE_Context_TFE_TensorHandle_BytePointer_TF_Status_Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
Copy_tensor_from_device_TFE_Context_TFE_TensorHandle_BytePointer_TF_Status_Pointer() - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice.Copy_tensor_from_device_TFE_Context_TFE_TensorHandle_BytePointer_TF_Status_Pointer
Copy_tensor_from_device_TFE_Context_TFE_TensorHandle_BytePointer_TF_Status_Pointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice.Copy_tensor_from_device_TFE_Context_TFE_TensorHandle_BytePointer_TF_Status_Pointer: Pointer cast constructor.
copy_tensor_to_device() - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
copy_tensor_to_device(TFE_CustomDevice.Copy_tensor_to_device_TFE_Context_TFE_TensorHandle_TF_Status_Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
Copy_tensor_to_device_TFE_Context_TFE_TensorHandle_TF_Status_Pointer() - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice.Copy_tensor_to_device_TFE_Context_TFE_TensorHandle_TF_Status_Pointer
Copy_tensor_to_device_TFE_Context_TFE_TensorHandle_TF_Status_Pointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice.Copy_tensor_to_device_TFE_Context_TFE_TensorHandle_TF_Status_Pointer: Pointer cast constructor.
Copy.Inputs<T> - Class in org.tensorflow.op.core
Copy.Options - Class in org.tensorflow.op.core: Optional attributes for Copy
copyData() - Method in class org.tensorflow.internal.c_api.AbstractTF_Buffer: Returns a copy of the data in a Java array
CopyHost<T> - Class in org.tensorflow.op.core: Copy a tensor to host.
CopyHost(Operation) - Constructor for class org.tensorflow.op.core.CopyHost
CopyHost.Inputs<T> - Class in org.tensorflow.op.core
CopyHost.Options - Class in org.tensorflow.op.core: Optional attributes for CopyHost
copySharingTensor(TF_Status) - Method in class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle: Calls TFE_TensorHandleCopySharingTensor(this, ...), and registers a deallocator.
copyToDevice(TFE_Context, String, TF_Status) - Method in class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle: Calls TFE_TensorHandleCopyToDevice(this, ...), and registers a deallocator.
copyToMesh(Operand, String) - Method in class org.tensorflow.op.Ops: The CopyToMesh operation
CopyToMesh<T> - Class in org.tensorflow.op.core: The CopyToMesh operation
CopyToMesh(Operation) - Constructor for class org.tensorflow.op.core.CopyToMesh
CopyToMesh.Inputs<T> - Class in org.tensorflow.op.core
copyToMeshGrad(Operand, Operand) - Method in class org.tensorflow.op.Ops: The CopyToMeshGrad operation
CopyToMeshGrad<T> - Class in org.tensorflow.op.core: The CopyToMeshGrad operation
CopyToMeshGrad(Operation) - Constructor for class org.tensorflow.op.core.CopyToMeshGrad
CopyToMeshGrad.Inputs<T> - Class in org.tensorflow.op.core
core - Variable in class org.tensorflow.framework.op.FrameworkOps
CorePlatformPayloads - Class in org.tensorflow.proto.core.platform
CorePlatformPayloads.ErrorSourceProto - Class in org.tensorflow.proto.core.platform: If included as a payload, this message contains the error source information where the error was raised.
CorePlatformPayloads.ErrorSourceProto.Builder - Class in org.tensorflow.proto.core.platform: If included as a payload, this message contains the error source information where the error was raised.
CorePlatformPayloads.ErrorSourceProto.ErrorSource - Enum in org.tensorflow.proto.core.platform: Protobuf enum tensorflow.core.platform.ErrorSourceProto.ErrorSource
CorePlatformPayloads.ErrorSourceProtoOrBuilder - Interface in org.tensorflow.proto.core.platform
cos(Operand) - Method in class org.tensorflow.op.MathOps: Computes cos of x element-wise.
Cos<T> - Class in org.tensorflow.op.math: Computes cos of x element-wise.
Cos(Operation) - Constructor for class org.tensorflow.op.math.Cos
Cos.Inputs<T> - Class in org.tensorflow.op.math
cosh(Operand) - Method in class org.tensorflow.op.MathOps: Computes hyperbolic cosine of x element-wise.
Cosh<T> - Class in org.tensorflow.op.math: Computes hyperbolic cosine of x element-wise.
Cosh(Operation) - Constructor for class org.tensorflow.op.math.Cosh
Cosh.Inputs<T> - Class in org.tensorflow.op.math
cosineSimilarity(Ops, Operand, Operand, int[]) - Static method in class org.tensorflow.framework.losses.Losses: Computes the cosine similarity loss between labels and predictions.
CosineSimilarity - Class in org.tensorflow.framework.losses: Computes the cosine similarity between labels and predictions.
CosineSimilarity<T> - Class in org.tensorflow.framework.metrics: A metric that computes the cosine similarity metric between labels and predictions.
CosineSimilarity() - Constructor for class org.tensorflow.framework.losses.CosineSimilarity: Creates a Cosine Similarity AbstractLoss using Class.getSimpleName() as the loss name, an axis of CosineSimilarity.DEFAULT_AXIS, and a AbstractLoss Reduction of CosineSimilarity.DEFAULT_REDUCTION
CosineSimilarity(int) - Constructor for class org.tensorflow.framework.losses.CosineSimilarity: Creates a Cosine Similarity AbstractLoss using Class.getSimpleName() as the loss name, and a AbstractLoss Reduction of CosineSimilarity.DEFAULT_REDUCTION
CosineSimilarity(int[]) - Constructor for class org.tensorflow.framework.losses.CosineSimilarity: Creates a Cosine Similarity AbstractLoss using Class.getSimpleName() as the loss name, and a AbstractLoss Reduction of CosineSimilarity.DEFAULT_REDUCTION
CosineSimilarity(int[], long, Class) - Constructor for class org.tensorflow.framework.metrics.CosineSimilarity: Creates a CosineSimilarity metric using Class.getSimpleName() for the metric name.
CosineSimilarity(int[], Reduction) - Constructor for class org.tensorflow.framework.losses.CosineSimilarity: Creates a Cosine Similarity AbstractLoss using Class.getSimpleName() as the loss name
CosineSimilarity(int, long, Class) - Constructor for class org.tensorflow.framework.metrics.CosineSimilarity: Creates a metric that computes the cosine similarity metric between labels and predictions using Class.getSimpleName() for the metric name.
CosineSimilarity(int, Reduction) - Constructor for class org.tensorflow.framework.losses.CosineSimilarity: Creates a Cosine Similarity AbstractLoss using Class.getSimpleName() as the loss name
CosineSimilarity(long, Class) - Constructor for class org.tensorflow.framework.metrics.CosineSimilarity: Creates a metric that computes the cosine similarity metric between labels and predictions with a default axis, CosineSimilarity.DEFAULT_AXIS and using Class.getSimpleName() for the metric name.
CosineSimilarity(String) - Constructor for class org.tensorflow.framework.losses.CosineSimilarity: Creates a Cosine Similarity AbstractLoss using an axis of CosineSimilarity.DEFAULT_AXIS, and a AbstractLoss Reduction of CosineSimilarity.DEFAULT_REDUCTION
CosineSimilarity(String, int) - Constructor for class org.tensorflow.framework.losses.CosineSimilarity: Creates a Cosine Similarity AbstractLoss using a AbstractLoss Reduction of CosineSimilarity.DEFAULT_REDUCTION
CosineSimilarity(String, int[]) - Constructor for class org.tensorflow.framework.losses.CosineSimilarity: Creates a Cosine Similarity AbstractLoss using a AbstractLoss Reduction of CosineSimilarity.DEFAULT_REDUCTION
CosineSimilarity(String, int[], long, Class) - Constructor for class org.tensorflow.framework.metrics.CosineSimilarity: Creates a CosineSimilarity metric
CosineSimilarity(String, int[], Reduction) - Constructor for class org.tensorflow.framework.losses.CosineSimilarity: Creates a Cosine Similarity AbstractLoss
CosineSimilarity(String, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.CosineSimilarity: Creates a metric that computes the cosine similarity metric between labels and predictions.
CosineSimilarity(String, int, Reduction) - Constructor for class org.tensorflow.framework.losses.CosineSimilarity: Creates a Cosine Similarity AbstractLoss
CosineSimilarity(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.CosineSimilarity: Creates a metric that computes the cosine similarity metric between labels and predictions with a default axis, CosineSimilarity.DEFAULT_AXIS
CosineSimilarity(String, Reduction) - Constructor for class org.tensorflow.framework.losses.CosineSimilarity: Creates a Cosine Similarity AbstractLoss using an axis of CosineSimilarity.DEFAULT_AXIS
CosineSimilarity(Reduction) - Constructor for class org.tensorflow.framework.losses.CosineSimilarity: Creates a Cosine Similarity AbstractLoss using Class.getSimpleName() as the loss name and an axis of CosineSimilarity.DEFAULT_AXIS
COST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.AggregatedCost
COST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef
COST_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunMetadata
costEstimateNs - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: Estimated duration of the host computation in nanoseconds.
costEstimateNs(Long) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Sets the costEstimateNs option.
costEstimateNs(Long) - Method in class org.tensorflow.op.xla.XlaHostCompute.Options: Sets the costEstimateNs option.
CostGraphDef - Class in org.tensorflow.proto: Protobuf type tensorflow.CostGraphDef
CostGraphDef.AggregatedCost - Class in org.tensorflow.proto: Total cost of this graph, typically used for balancing decisions.
CostGraphDef.AggregatedCost.Builder - Class in org.tensorflow.proto: Total cost of this graph, typically used for balancing decisions.
CostGraphDef.AggregatedCostOrBuilder - Interface in org.tensorflow.proto
CostGraphDef.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.CostGraphDef
CostGraphDef.Node - Class in org.tensorflow.proto: Protobuf type tensorflow.CostGraphDef.Node
CostGraphDef.Node.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.CostGraphDef.Node
CostGraphDef.Node.InputInfo - Class in org.tensorflow.proto: Inputs of this node.
CostGraphDef.Node.InputInfo.Builder - Class in org.tensorflow.proto: Inputs of this node.
CostGraphDef.Node.InputInfoOrBuilder - Interface in org.tensorflow.proto
CostGraphDef.Node.OutputInfo - Class in org.tensorflow.proto: Outputs of this node.
CostGraphDef.Node.OutputInfo.Builder - Class in org.tensorflow.proto: Outputs of this node.
CostGraphDef.Node.OutputInfoOrBuilder - Interface in org.tensorflow.proto
CostGraphDef.NodeOrBuilder - Interface in org.tensorflow.proto
CostGraphDefOrBuilder - Interface in org.tensorflow.proto
CostGraphProtos - Class in org.tensorflow.proto
count - Variable in class org.tensorflow.framework.metrics.Accuracy: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.BinaryAccuracy: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.BinaryCrossentropy: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.CategoricalAccuracy: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.CategoricalCrossentropy: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.CategoricalHinge: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.CosineSimilarity: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.Hinge: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.KLDivergence: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.LogCoshError: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.Mean: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.MeanAbsoluteError: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.MeanRelativeError: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.MeanSquaredError: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.Poisson: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.RootMeanSquaredError: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.SquaredHinge: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.Sum: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: the variable that holds the count of the metric values.
count - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: A scalar representing the number of times that input_dataset should be repeated.
count - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The count input
count - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: A scalar representing the number of elements from the input_dataset that should be skipped.
count - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: A scalar representing the number of elements from the input_dataset that should be taken.
count() - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
count() - Method in class org.tensorflow.op.core.UniqueWithCounts: Gets count.
count(int) - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
COUNT - Static variable in class org.tensorflow.framework.metrics.Accuracy
COUNT - Static variable in class org.tensorflow.framework.metrics.BinaryAccuracy
COUNT - Static variable in class org.tensorflow.framework.metrics.BinaryCrossentropy
COUNT - Static variable in class org.tensorflow.framework.metrics.CategoricalAccuracy
COUNT - Static variable in class org.tensorflow.framework.metrics.CategoricalCrossentropy
COUNT - Static variable in class org.tensorflow.framework.metrics.CategoricalHinge
COUNT - Static variable in class org.tensorflow.framework.metrics.CosineSimilarity
COUNT - Static variable in class org.tensorflow.framework.metrics.Hinge
COUNT - Static variable in class org.tensorflow.framework.metrics.KLDivergence
COUNT - Static variable in class org.tensorflow.framework.metrics.LogCoshError
COUNT - Static variable in class org.tensorflow.framework.metrics.Mean
COUNT - Static variable in class org.tensorflow.framework.metrics.MeanAbsoluteError
COUNT - Static variable in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError
COUNT - Static variable in class org.tensorflow.framework.metrics.MeanRelativeError
COUNT - Static variable in class org.tensorflow.framework.metrics.MeanSquaredError
COUNT - Static variable in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError
COUNT - Static variable in class org.tensorflow.framework.metrics.Poisson
COUNT - Static variable in class org.tensorflow.framework.metrics.RootMeanSquaredError
COUNT - Static variable in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy
COUNT - Static variable in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy
COUNT - Static variable in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy
COUNT - Static variable in class org.tensorflow.framework.metrics.SquaredHinge
COUNT - Static variable in class org.tensorflow.framework.metrics.Sum
COUNT - Static variable in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy
COUNT - Static variable in class org.tensorflow.framework.metrics.MeanTensor
counter - Variable in class org.tensorflow.op.core.StochasticCastToInt.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.experimental.StatelessShuffle.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounter: Gets counter.
counter() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: Gets counter.
counterPrefix - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The counterPrefix input
counterPrefix - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The counterPrefix input
counts - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The counts input
counts - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The counts of the binomial distribution.
countUpTo(Operand, Long) - Method in class org.tensorflow.op.Ops: Increments 'ref' until it reaches 'limit'.
CountUpTo<T> - Class in org.tensorflow.op.core: Increments 'ref' until it reaches 'limit'.
CountUpTo(Operation) - Constructor for class org.tensorflow.op.core.CountUpTo
CountUpTo.Inputs<T> - Class in org.tensorflow.op.core
CPP_MICROBENCHMARK - Enum constant in enum org.tensorflow.proto.TestResults.BenchmarkType: CPP_MICROBENCHMARK = 1;
CPP_MICROBENCHMARK_VALUE - Static variable in enum org.tensorflow.proto.TestResults.BenchmarkType: CPP_MICROBENCHMARK = 1;
CppShapeInference - Class in org.tensorflow.proto.core
CppShapeInference.CppShapeInferenceInputsNeeded - Class in org.tensorflow.proto.core: Protobuf type tensorflow.core.CppShapeInferenceInputsNeeded
CppShapeInference.CppShapeInferenceInputsNeeded.Builder - Class in org.tensorflow.proto.core: Protobuf type tensorflow.core.CppShapeInferenceInputsNeeded
CppShapeInference.CppShapeInferenceInputsNeededOrBuilder - Interface in org.tensorflow.proto.core
CppShapeInference.CppShapeInferenceResult - Class in org.tensorflow.proto.core: Protobuf type tensorflow.core.CppShapeInferenceResult
CppShapeInference.CppShapeInferenceResult.Builder - Class in org.tensorflow.proto.core: Protobuf type tensorflow.core.CppShapeInferenceResult
CppShapeInference.CppShapeInferenceResult.HandleData - Class in org.tensorflow.proto.core: Protobuf type tensorflow.core.CppShapeInferenceResult.HandleData
CppShapeInference.CppShapeInferenceResult.HandleData.Builder - Class in org.tensorflow.proto.core: Protobuf type tensorflow.core.CppShapeInferenceResult.HandleData
CppShapeInference.CppShapeInferenceResult.HandleDataOrBuilder - Interface in org.tensorflow.proto.core
CppShapeInference.CppShapeInferenceResult.HandleShapeAndType - Class in org.tensorflow.proto.core: Protobuf type tensorflow.core.CppShapeInferenceResult.HandleShapeAndType
CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder - Class in org.tensorflow.proto.core: Protobuf type tensorflow.core.CppShapeInferenceResult.HandleShapeAndType
CppShapeInference.CppShapeInferenceResult.HandleShapeAndTypeOrBuilder - Interface in org.tensorflow.proto.core
CppShapeInference.CppShapeInferenceResultOrBuilder - Interface in org.tensorflow.proto.core
CPU - Enum constant in enum org.tensorflow.DeviceSpec.DeviceType
CPU - Enum constant in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: CPU = 1;
CPU_BUDGET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalCpuBudgetCase
CPU_BUDGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
CPU_BUDGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
CPU_GLOBAL_JIT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizerOptions
CPU_GOVERNOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CPUInfo
CPU_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CPUInfo
CPU_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MachineConfiguration
CPU_LAYOUT_CONVERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
CPU_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BenchmarkEntry
CPU_VALUE - Static variable in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: CPU = 1;
cpuBudget - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The cpuBudget attribute
cpuBudget(Long) - Static method in class org.tensorflow.op.data.ModelDataset: Sets the cpuBudget option.
cpuBudget(Long) - Method in class org.tensorflow.op.data.ModelDataset.Options: Sets the cpuBudget option.
CPUInfo - Class in org.tensorflow.proto: Protobuf type tensorflow.CPUInfo
CPUInfo.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.CPUInfo
CPUInfoOrBuilder - Interface in org.tensorflow.proto
CRC32C_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BundleEntryProto
create() - Static method in class org.tensorflow.EagerSession: Returns an EagerSession configured with default options.
create() - Static method in class org.tensorflow.framework.op.FrameworkOps: Creates an API for building operations in the default eager execution environment
create() - Static method in class org.tensorflow.op.Ops: Creates an API for building operations in the default eager execution environment
create(String) - Static method in interface org.tensorflow.framework.activations.Activation: Creates an Activation instance based on the name as known to the TensorFlow engine.
create(Function) - Static method in class org.tensorflow.ConcreteFunction: Creates a function by building a new graph.
create(Map) - Static method in interface org.tensorflow.framework.activations.Activation: Creates an Activation getInstance based on a configuration as produced by TensorFlow.
create(ExecutionEnvironment) - Static method in class org.tensorflow.framework.op.FrameworkOps: Creates an API for building operations in the provided execution environment
create(ExecutionEnvironment) - Static method in class org.tensorflow.op.Ops: Creates an API for building operations in the provided execution environment
create(Ops) - Static method in class org.tensorflow.framework.op.FrameworkOps: Creates an API for building operations in the default eager execution environment
create(Scope) - Static method in class org.tensorflow.op.core.ControlTrigger: Factory method to create a class wrapping a new ControlTrigger operation.
create(Scope) - Static method in class org.tensorflow.op.core.DummyMemoryCache: Factory method to create a class wrapping a new DummyMemoryCache operation.
create(Scope) - Static method in class org.tensorflow.op.core.EmptyTensorMap: Factory method to create a class wrapping a new EmptyTensorMap operation.
create(Scope) - Static method in class org.tensorflow.op.core.NoOp: Factory method to create a class wrapping a new NoOp operation.
create(Scope) - Static method in class org.tensorflow.op.core.SyncDevice: Factory method to create a class wrapping a new SyncDevice operation.
create(Scope) - Static method in class org.tensorflow.op.core.Timestamp: Factory method to create a class wrapping a new Timestamp operation.
create(Scope) - Static method in class org.tensorflow.op.data.AnonymousMemoryCache: Factory method to create a class wrapping a new AnonymousMemoryCache operation.
create(Scope) - Static method in class org.tensorflow.op.data.DummyIterationCounter: Factory method to create a class wrapping a new DummyIterationCounter operation.
create(Scope) - Static method in class org.tensorflow.op.data.OptionalNone: Factory method to create a class wrapping a new OptionalNone operation.
create(Scope) - Static method in class org.tensorflow.op.math.Fact: Factory method to create a class wrapping a new Fact operation.
create(Scope) - Static method in class org.tensorflow.op.random.DummySeedGenerator: Factory method to create a class wrapping a new DummySeedGenerator operation.
create(Scope) - Static method in class org.tensorflow.op.random.StatelessRandomGetAlg: Factory method to create a class wrapping a new StatelessRandomGetAlg operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.CompilationResult: Factory method to create a class wrapping a new TPUCompilationResult operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.GetTpuTaskId: Factory method to create a class wrapping a new GetTpuTaskId operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.GlobalIterId: Factory method to create a class wrapping a new GlobalIterId operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.OrdinalSelector: Factory method to create a class wrapping a new TPUOrdinalSelector operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.ShutdownDistributedTPU: Factory method to create a class wrapping a new ShutdownDistributedTPU operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.ShutdownTPUSystem: Factory method to create a class wrapping a new ShutdownTPUSystem operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.

Factory method to create a class wrapping a new TPUCompilationResult operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.TPURoundRobin: Factory method to create a class wrapping a new TPURoundRobin operation.
create(Scope, Class, Class) - Static method in class org.tensorflow.op.core.AnonymousHashTable: Factory method to create a class wrapping a new AnonymousHashTable operation.
create(Scope, Class, Class) - Static method in class org.tensorflow.op.core.AnonymousMutableHashTable: Factory method to create a class wrapping a new AnonymousMutableHashTable operation.
create(Scope, Class, Class, AnonymousMutableHashTableOfTensors.Options...) - Static method in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors: Factory method to create a class wrapping a new AnonymousMutableHashTableOfTensors operation.
create(Scope, Class, Class, HashTable.Options...) - Static method in class org.tensorflow.op.core.HashTable: Factory method to create a class wrapping a new HashTableV2 operation.
create(Scope, Class, Class, MutableHashTable.Options...) - Static method in class org.tensorflow.op.core.MutableHashTable: Factory method to create a class wrapping a new MutableHashTableV2 operation.
create(Scope, Class, Class, MutableHashTableOfTensors.Options...) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Factory method to create a class wrapping a new MutableHashTableOfTensorsV2 operation.
create(Scope, Class, String, String, Long, String, Recv.Options...) - Static method in class org.tensorflow.op.core.Recv: Factory method to create a class wrapping a new Recv operation.
create(Scope, Class, Shape) - Static method in class org.tensorflow.op.core.FakeParam: Factory method to create a class wrapping a new FakeParam operation.
create(Scope, Class, Shape) - Static method in class org.tensorflow.op.tpu.InfeedDequeue: Factory method to create a class wrapping a new InfeedDequeue operation.
create(Scope, Class, Shape, String) - Static method in class org.tensorflow.op.core.ImmutableConst: Factory method to create a class wrapping a new ImmutableConst operation.
create(Scope, Class, Shape, String) - Static method in class org.tensorflow.op.xla.XlaRecvFromHost: Factory method to create a class wrapping a new XlaRecvFromHost operation.
create(Scope, Class, Shape, VarHandleOp.Options...) - Static method in class org.tensorflow.op.core.VarHandleOp: Factory method to create a class wrapping a new VarHandleOp operation.
create(Scope, Class, Shape, SparseConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Factory method to create a class wrapping a new SparseConditionalAccumulator operation.
create(Scope, Class, Shape, OutfeedDequeue.Options...) - Static method in class org.tensorflow.op.tpu.OutfeedDequeue: Factory method to create a class wrapping a new OutfeedDequeue operation.
create(Scope, Class, Shape, ConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.train.ConditionalAccumulator: Factory method to create a class wrapping a new ConditionalAccumulator operation.
create(Scope, Class, Shape, ResourceConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Factory method to create a class wrapping a new ResourceConditionalAccumulator operation.
create(Scope, Class, Placeholder.Options...) - Static method in class org.tensorflow.op.core.Placeholder: Factory method to create a class wrapping a new Placeholder operation.
create(Scope, Iterable, Iterable, Gradients.Options...) - Static method in class org.tensorflow.op.core.Gradients: Adds gradients computation ops to the graph according to scope.
create(Scope, Iterable) - Static method in class org.tensorflow.op.core.IdentityN: Factory method to create a class wrapping a new IdentityN operation.
create(Scope, Iterable) - Static method in class org.tensorflow.op.data.CompressElement: Factory method to create a class wrapping a new CompressElement operation.
create(Scope, Iterable) - Static method in class org.tensorflow.op.data.OptionalFromValue: Factory method to create a class wrapping a new OptionalFromValue operation.
create(Scope, Iterable) - Static method in class org.tensorflow.op.tpu.OutfeedEnqueueTuple: Factory method to create a class wrapping a new OutfeedEnqueueTuple operation.
create(Scope, Iterable) - Static method in class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape: Factory method to create a class wrapping a new TPUAnnotateTensorsWithDynamicShape operation.
create(Scope, Iterable, Iterable, Iterable, ConcreteFunction, ConcreteFunction, ConcreteFunction, List, List, GeneratorDataset.Options...) - Static method in class org.tensorflow.op.data.GeneratorDataset: Factory method to create a class wrapping a new GeneratorDataset operation.
create(Scope, Iterable, Iterable, Iterable, Iterable, Iterable, Iterable, String, Boolean, Long, Long, Class, Class) - Static method in class org.tensorflow.op.ragged.RaggedCross: Factory method to create a class wrapping a new RaggedCross operation.
create(Scope, Iterable, Iterable, List, List, ConcreteFunction, MapDefun.Options...) - Static method in class org.tensorflow.op.core.MapDefun: Factory method to create a class wrapping a new MapDefun operation.
create(Scope, Iterable, Iterable, ConcreteFunction, Long, Long, Long, List, BatchFunction.Options...) - Static method in class org.tensorflow.op.core.BatchFunction: Factory method to create a class wrapping a new BatchFunction operation.
create(Scope, Iterable, Iterable) - Static method in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape: Factory method to create a class wrapping a new TPUCopyWithDynamicShape operation.
create(Scope, Iterable, Long, Long, Long, Long, Batch.Options...) - Static method in class org.tensorflow.op.core.Batch: Factory method to create a class wrapping a new Batch operation.
create(Scope, Iterable, String) - Static method in class org.tensorflow.op.core.CompositeTensorVariantFromComponents: Factory method to create a class wrapping a new CompositeTensorVariantFromComponents operation.
create(Scope, Iterable, String, List) - Static method in class org.tensorflow.op.core.MlirPassthroughOp: Factory method to create a class wrapping a new MlirPassthroughOp operation.
create(Scope, Iterable, List, List, List, ConcreteFunction, String, XlaHostCompute.Options...) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Factory method to create a class wrapping a new XlaHostCompute operation.
create(Scope, Iterable, List, List) - Static method in class org.tensorflow.op.data.WindowOp: Factory method to create a class wrapping a new WindowOp operation.
create(Scope, Iterable, List, List, ListDataset.Options...) - Static method in class org.tensorflow.op.data.ListDataset: Factory method to create a class wrapping a new ListDataset operation.
create(Scope, Iterable, List, ConcreteFunction) - Static method in class org.tensorflow.op.train.SymbolicGradient: Factory method to create a class wrapping a new SymbolicGradient operation.
create(Scope, Iterable, List, ConcreteFunction, PartitionedCall.Options...) - Static method in class org.tensorflow.op.core.PartitionedCall: Factory method to create a class wrapping a new PartitionedCall operation.
create(Scope, Iterable, List, ConcreteFunction, StatefulPartitionedCall.Options...) - Static method in class org.tensorflow.op.core.StatefulPartitionedCall: Factory method to create a class wrapping a new StatefulPartitionedCall operation.
create(Scope, Iterable, List, TensorDataset.Options...) - Static method in class org.tensorflow.op.data.TensorDataset: Factory method to create a class wrapping a new TensorDataset operation.
create(Scope, Iterable, List, TensorSliceDataset.Options...) - Static method in class org.tensorflow.op.data.TensorSliceDataset: Factory method to create a class wrapping a new TensorSliceDataset operation.
create(Scope, Iterable, List, InfeedEnqueueTuple.Options...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueueTuple: Factory method to create a class wrapping a new InfeedEnqueueTuple operation.
create(Scope, Iterable, List, PrelinearizeTuple.Options...) - Static method in class org.tensorflow.op.tpu.PrelinearizeTuple: Factory method to create a class wrapping a new PrelinearizeTuple operation.
create(Scope, Iterable, ConcreteFunction, ConcreteFunction, While.Options...) - Static method in class org.tensorflow.op.core.StatefulWhile: Factory method to create a class wrapping a new While operation.
create(Scope, Iterable, ConcreteFunction, ConcreteFunction, While.Options...) - Static method in class org.tensorflow.op.core.StatelessWhile: Factory method to create a class wrapping a new StatelessWhile operation.
create(Scope, Iterable, ConcreteFunction, ConcreteFunction, While.Options...) - Static method in interface org.tensorflow.op.core.While: Factory method to create a class wrapping a new While operation.
create(Scope, Iterable, Stage.Options...) - Static method in class org.tensorflow.op.core.Stage: Factory method to create a class wrapping a new Stage operation.
create(Scope, Iterable, StringFormat.Options...) - Static method in class org.tensorflow.op.strings.StringFormat: Factory method to create a class wrapping a new StringFormat operation.
create(Scope, Iterable, Operand, List, ConcreteFunction, PartitionedCall.Options...) - Static method in class org.tensorflow.op.tpu.PartitionedCall: Factory method to create a class wrapping a new TPUPartitionedCall operation.
create(Scope, Iterable, Operand, List) - Static method in class org.tensorflow.op.tpu.Execute: Factory method to create a class wrapping a new TPUExecute operation.
create(Scope, Iterable, Operand, List, List, List) - Static method in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables: Factory method to create a class wrapping a new TPUExecuteAndUpdateVariables operation.
create(Scope, Iterable, Iterable, Iterable, Operand, List, EnqueueTPUEmbeddingRaggedTensorBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingRaggedTensorBatch operation.
create(Scope, Iterable, Iterable, Iterable, Operand, List, EnqueueTPUEmbeddingSparseTensorBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingSparseTensorBatch operation.
create(Scope, Iterable, Iterable, Iterable, Operand, EnqueueTPUEmbeddingArbitraryTensorBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingArbitraryTensorBatch operation.
create(Scope, Iterable, Iterable, Iterable, Operand, EnqueueTPUEmbeddingSparseBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingSparseBatch operation.
create(Scope, Iterable, Iterable, Iterable, Operand, Operand, List, DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options...) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Factory method to create a class wrapping a new DynamicEnqueueTPUEmbeddingRaggedTensorBatch operation.
create(Scope, Iterable, Iterable, Iterable, Operand, Operand, DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Options...) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch: Factory method to create a class wrapping a new DynamicEnqueueTPUEmbeddingArbitraryTensorBatch operation.
create(Scope, Iterable, Operand, Boolean) - Static method in class org.tensorflow.op.ragged.RaggedTensorToVariant: Factory method to create a class wrapping a new RaggedTensorToVariant operation.
create(Scope, Iterable, Operand) - Static method in class org.tensorflow.op.ragged.RaggedTensorToSparse: Factory method to create a class wrapping a new RaggedTensorToSparse operation.
create(Scope, Iterable) - Static method in class org.tensorflow.op.core.ShapeN: Factory method to create a class wrapping a new ShapeN operation, with the default output types.
create(Scope, Iterable, Class) - Static method in class org.tensorflow.op.core.ShapeN: Factory method to create a class wrapping a new ShapeN operation.
create(Scope, Iterable, Iterable, List, List, WeightedFlatMapDataset.Options...) - Static method in class org.tensorflow.op.data.WeightedFlatMapDataset: Factory method to create a class wrapping a new WeightedFlatMapDataset operation.
create(Scope, Iterable, Long, List, List) - Static method in class org.tensorflow.op.data.ChooseFastestDataset: Factory method to create a class wrapping a new ChooseFastestDataset operation.
create(Scope, Iterable, Long, List, List) - Static method in class org.tensorflow.op.data.experimental.ChooseFastestDataset: Factory method to create a class wrapping a new ExperimentalChooseFastestDataset operation.
create(Scope, Iterable, List, List) - Static method in class org.tensorflow.op.data.SnapshotNestedDatasetReader: Factory method to create a class wrapping a new SnapshotNestedDatasetReader operation.
create(Scope, Iterable, List, List, ZipDataset.Options...) - Static method in class org.tensorflow.op.data.ZipDataset: Factory method to create a class wrapping a new ZipDataset operation.
create(Scope, Iterable, Operand, Operand) - Static method in class org.tensorflow.op.tpu.TPUReshardVariables: Factory method to create a class wrapping a new TPUReshardVariables operation.
create(Scope, Iterable, Float, Float) - Static method in class org.tensorflow.op.train.SdcaShrinkL1: Factory method to create a class wrapping a new SdcaShrinkL1 operation.
create(Scope, Iterable, Iterable, Iterable, Iterable, Iterable, Iterable, Iterable, Iterable, String, Long, Long) - Static method in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters: Factory method to create a class wrapping a new LoadAllTPUEmbeddingParameters operation.
create(Scope, Iterable, Iterable, String, SendTPUEmbeddingGradients.Options...) - Static method in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients: Factory method to create a class wrapping a new SendTPUEmbeddingGradients operation.
create(Scope, Iterable, Iterable, Operand, String, String, String, String, XlaSendTPUEmbeddingGradients.Options...) - Static method in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients: Factory method to create a class wrapping a new XlaSendTPUEmbeddingGradientsV2 operation.
create(Scope, Iterable) - Static method in class org.tensorflow.op.tpu.UpdateTaskIdAndGlobalCoreArray: Factory method to create a class wrapping a new UpdateTaskIdAndGlobalCoreArray operation.
create(Scope, Iterable, Iterable, Iterable, Iterable, Operand, Long, Long, Long, Long, Long, Long, String, Boolean) - Static method in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor: Factory method to create a class wrapping a new ConvertToSparseCoreCsrWrappedCooTensor operation.
create(Scope, Iterable, Iterable, Iterable, List, List, Long, Long, Long, Long, Long, Long, String) - Static method in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors: Factory method to create a class wrapping a new SortListOfSparseCoreCooTensors operation.
create(Scope, Iterable, Iterable, Iterable, List, List, Long, Long, Long, Long, String) - Static method in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors: Factory method to create a class wrapping a new GetStatsFromListOfSparseCoreCooTensors operation.
create(Scope, Iterable, Iterable) - Static method in class org.tensorflow.op.core.DynamicStitch: Factory method to create a class wrapping a new DynamicStitch operation.
create(Scope, Iterable, Iterable) - Static method in class org.tensorflow.op.core.ParallelDynamicStitch: Factory method to create a class wrapping a new ParallelDynamicStitch operation.
create(Scope, Iterable, Operand, EnqueueTPUEmbeddingIntegerBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingIntegerBatch operation.
create(Scope, Iterable, Iterable, Iterable, Iterable, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseCrossHashed: Factory method to create a class wrapping a new SparseCrossHashed operation.
create(Scope, Iterable, Iterable, Iterable, Iterable, Operand) - Static method in class org.tensorflow.op.sparse.SparseCross: Factory method to create a class wrapping a new SparseCrossV2 operation.
create(Scope, Iterable, Iterable, Long, ConcreteFunction, String) - Static method in class org.tensorflow.op.tpu.Compile: Factory method to create a class wrapping a new TPUCompile operation.
create(Scope, Iterable, Iterable, Iterable, Iterable, Operand, Operand, Iterable, Iterable, Iterable, Operand, String, Float, Float, Long, Long, SdcaOptimizer.Options...) - Static method in class org.tensorflow.op.train.SdcaOptimizer: Factory method to create a class wrapping a new SdcaOptimizerV2 operation.
create(Scope, Iterable, Iterable, Iterable, Long) - Static method in class org.tensorflow.op.sparse.SparseConcat: Factory method to create a class wrapping a new SparseConcat operation.
create(Scope, Iterable) - Static method in class org.tensorflow.op.summary.MergeSummary: Factory method to create a class wrapping a new MergeSummary operation.
create(Scope, Iterable) - Static method in class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory: Factory method to create a class wrapping a new CollateTPUEmbeddingMemory operation.
create(Scope, Iterable) - Static method in class org.tensorflow.op.tpu.ConnectTPUEmbeddingHosts: Factory method to create a class wrapping a new ConnectTPUEmbeddingHosts operation.
create(Scope, Iterable, Join.Options...) - Static method in class org.tensorflow.op.strings.Join: Factory method to create a class wrapping a new StringJoin operation.
create(Scope, Iterable, Operand, EnqueueTPUEmbeddingBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingBatch operation.
create(Scope, Iterable) - Static method in class org.tensorflow.op.core.Merge: Factory method to create a class wrapping a new Merge operation.
create(Scope, Iterable) - Static method in class org.tensorflow.op.core.RefMerge: Factory method to create a class wrapping a new RefMerge operation.
create(Scope, Iterable) - Static method in class org.tensorflow.op.math.AddN: Factory method to create a class wrapping a new AddN operation.
create(Scope, Iterable, String) - Static method in class org.tensorflow.op.core.NcclReduce: Deprecated.

Factory method to create a class wrapping a new NcclReduce operation.
create(Scope, Iterable, String) - Static method in class org.tensorflow.op.distribute.NcclReduce: Factory method to create a class wrapping a new NcclReduce operation.
create(Scope, Iterable, String) - Static method in class org.tensorflow.op.linalg.Einsum: Factory method to create a class wrapping a new Einsum operation.
create(Scope, Iterable, List, PartitionedInput.Options...) - Static method in class org.tensorflow.op.tpu.PartitionedInput: Factory method to create a class wrapping a new TPUPartitionedInputV2 operation.
create(Scope, Iterable, List, ConcatND.Options...) - Static method in class org.tensorflow.op.xla.ConcatND: Factory method to create a class wrapping a new XlaConcatND operation.
create(Scope, Iterable, Shape) - Static method in class org.tensorflow.op.core.ParallelConcat: Factory method to create a class wrapping a new ParallelConcat operation.
create(Scope, Iterable, Shape) - Static method in class org.tensorflow.op.math.AccumulateN: Factory method to create a class wrapping a new AccumulateNV2 operation.
create(Scope, Iterable, Stack.Options...) - Static method in class org.tensorflow.op.core.Stack: Factory method to create a class wrapping a new Pack operation.
create(Scope, Iterable, ReplicatedInput.Options...) - Static method in class org.tensorflow.op.tpu.ReplicatedInput: Factory method to create a class wrapping a new TPUReplicatedInput operation.
create(Scope, Iterable, TPUReplicatedInput.Options...) - Static method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Factory method to create a class wrapping a new TPUReplicatedInput operation.
create(Scope, Iterable, Operand) - Static method in class org.tensorflow.op.core.Concat: Factory method to create a class wrapping a new ConcatV2 operation.
create(Scope, Iterable, Operand, Operand, Long) - Static method in class org.tensorflow.op.ragged.RaggedGather: Factory method to create a class wrapping a new RaggedGather operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingAdadeltaParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdadeltaParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingAdagradMomentumParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdagradMomentumParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingAdagradParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdagradParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingADAMParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingADAMParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingCenteredRMSPropParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingCenteredRMSPropParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingFrequencyEstimatorParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingFTRLParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingFTRLParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingMDLAdagradLightParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingMDLAdagradLightParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingMomentumParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingMomentumParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingProximalAdagradParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingProximalAdagradParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingProximalYogiParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingProximalYogiParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingRMSPropParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingRMSPropParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingStochasticGradientDescentParameters operation.
create(Scope, Long, String) - Static method in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations: Factory method to create a class wrapping a new RecvTPUEmbeddingActivations operation.
create(Scope, Long, String, Long, Long) - Static method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Factory method to create a class wrapping a new RetrieveAllTPUEmbeddingParameters operation.
create(Scope, Long, String, ThreadPoolHandle.Options...) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Factory method to create a class wrapping a new ExperimentalThreadPoolHandle operation.
create(Scope, Long, String, ThreadPoolHandle.Options...) - Static method in class org.tensorflow.op.data.ThreadPoolHandle: Factory method to create a class wrapping a new ThreadPoolHandle operation.
create(Scope, Long, FixedLengthRecordReader.Options...) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Factory method to create a class wrapping a new FixedLengthRecordReaderV2 operation.
create(Scope, Long, ReplicateMetadata.Options...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Factory method to create a class wrapping a new TPUReplicateMetadata operation.
create(Scope, Long, TPUReplicateMetadata.Options...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Factory method to create a class wrapping a new TPUReplicateMetadata operation.
create(Scope, String) - Static method in class org.tensorflow.op.tpu.ConfigureTPUEmbedding: Factory method to create a class wrapping a new ConfigureTPUEmbedding operation.
create(Scope, String) - Static method in class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner: Factory method to create a class wrapping a new ExecuteTPUEmbeddingPartitioner operation.
create(Scope, String, Long, Skipgram.Options...) - Static method in class org.tensorflow.op.core.Skipgram: Factory method to create a class wrapping a new Skipgram operation.
create(Scope, String, String, String, String) - Static method in class org.tensorflow.op.tpu.ComputeDedupDataSize: Factory method to create a class wrapping a new ComputeDedupDataSizeV2 operation.
create(Scope, String, String, String, String) - Static method in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask: Factory method to create a class wrapping a new ComputeDedupDataTupleMaskV2 operation.
create(Scope, String, String, String, String) - Static method in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData: Factory method to create a class wrapping a new XlaRecvTPUEmbeddingDeduplicationDataV2 operation.
create(Scope, String, String, List, List) - Static method in class org.tensorflow.op.data.Iterator: Factory method to create a class wrapping a new IteratorV2 operation.
create(Scope, String, RecordInput.Options...) - Static method in class org.tensorflow.op.random.RecordInput: Factory method to create a class wrapping a new RecordInput operation.
create(Scope, List, List) - Static method in class org.tensorflow.op.data.AnonymousIterator: Factory method to create a class wrapping a new AnonymousIteratorV3 operation.
create(Scope, List, List) - Static method in class org.tensorflow.op.tpu.InfeedDequeueTuple: Factory method to create a class wrapping a new InfeedDequeueTuple operation.
create(Scope, List, List, PriorityQueue.Options...) - Static method in class org.tensorflow.op.io.PriorityQueue: Factory method to create a class wrapping a new PriorityQueueV2 operation.
create(Scope, List, List, OutfeedDequeueTuple.Options...) - Static method in class org.tensorflow.op.tpu.OutfeedDequeueTuple: Factory method to create a class wrapping a new OutfeedDequeueTuple operation.
create(Scope, List, Barrier.Options...) - Static method in class org.tensorflow.op.core.Barrier: Factory method to create a class wrapping a new Barrier operation.
create(Scope, List, MapClear.Options...) - Static method in class org.tensorflow.op.core.MapClear: Factory method to create a class wrapping a new MapClear operation.
create(Scope, List, MapIncompleteSize.Options...) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Factory method to create a class wrapping a new MapIncompleteSize operation.
create(Scope, List, MapSize.Options...) - Static method in class org.tensorflow.op.core.MapSize: Factory method to create a class wrapping a new MapSize operation.
create(Scope, List, OrderedMapClear.Options...) - Static method in class org.tensorflow.op.core.OrderedMapClear: Factory method to create a class wrapping a new OrderedMapClear operation.
create(Scope, List, OrderedMapIncompleteSize.Options...) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Factory method to create a class wrapping a new OrderedMapIncompleteSize operation.
create(Scope, List, OrderedMapSize.Options...) - Static method in class org.tensorflow.op.core.OrderedMapSize: Factory method to create a class wrapping a new OrderedMapSize operation.
create(Scope, List, StageClear.Options...) - Static method in class org.tensorflow.op.core.StageClear: Factory method to create a class wrapping a new StageClear operation.
create(Scope, List, StageSize.Options...) - Static method in class org.tensorflow.op.core.StageSize: Factory method to create a class wrapping a new StageSize operation.
create(Scope, List, Unstage.Options...) - Static method in class org.tensorflow.op.core.Unstage: Factory method to create a class wrapping a new Unstage operation.
create(Scope, List, FifoQueue.Options...) - Static method in class org.tensorflow.op.io.FifoQueue: Factory method to create a class wrapping a new FIFOQueueV2 operation.
create(Scope, List, PaddingFifoQueue.Options...) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Factory method to create a class wrapping a new PaddingFIFOQueueV2 operation.
create(Scope, List, RandomShuffleQueue.Options...) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Factory method to create a class wrapping a new RandomShuffleQueueV2 operation.
create(Scope, List) - Static method in class org.tensorflow.op.core.DeviceIndex: Factory method to create a class wrapping a new DeviceIndex operation.
create(Scope, List, String, String, List, List) - Static method in class org.tensorflow.op.data.MultiDeviceIterator: Factory method to create a class wrapping a new MultiDeviceIterator operation.
create(Scope, List, List, List) - Static method in class org.tensorflow.op.data.AnonymousMultiDeviceIterator: Factory method to create a class wrapping a new AnonymousMultiDeviceIteratorV3 operation.
create(Scope, ConcreteFunction, List, List, OneShotIterator.Options...) - Static method in class org.tensorflow.op.data.OneShotIterator: Factory method to create a class wrapping a new OneShotIterator operation.
create(Scope, Shape, Class, TemporaryVariable.Options...) - Static method in class org.tensorflow.op.core.TemporaryVariable: Factory method to create a class wrapping a new TemporaryVariable operation.
create(Scope, Shape, Class, Variable.Options...) - Static method in class org.tensorflow.op.core.Variable: Factory method to create a class wrapping a new VariableV2 operation.
create(Scope, Abort.Options...) - Static method in class org.tensorflow.op.core.Abort: Factory method to create a class wrapping a new Abort operation.
create(Scope, Mutex.Options...) - Static method in class org.tensorflow.op.core.Mutex: Factory method to create a class wrapping a new MutexV2 operation.
create(Scope, StatsAggregatorHandle.Options...) - Static method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: Factory method to create a class wrapping a new ExperimentalStatsAggregatorHandle operation.
create(Scope, StatsAggregatorHandle.Options...) - Static method in class org.tensorflow.op.data.StatsAggregatorHandle: Factory method to create a class wrapping a new StatsAggregatorHandleV2 operation.
create(Scope, IdentityReader.Options...) - Static method in class org.tensorflow.op.io.IdentityReader: Factory method to create a class wrapping a new IdentityReaderV2 operation.
create(Scope, LmdbReader.Options...) - Static method in class org.tensorflow.op.io.LmdbReader: Factory method to create a class wrapping a new LMDBReader operation.
create(Scope, TextLineReader.Options...) - Static method in class org.tensorflow.op.io.TextLineReader: Factory method to create a class wrapping a new TextLineReaderV2 operation.
create(Scope, TfRecordReader.Options...) - Static method in class org.tensorflow.op.io.TfRecordReader: Factory method to create a class wrapping a new TFRecordReaderV2 operation.
create(Scope, WholeFileReader.Options...) - Static method in class org.tensorflow.op.io.WholeFileReader: Factory method to create a class wrapping a new WholeFileReaderV2 operation.
create(Scope, SummaryWriter.Options...) - Static method in class org.tensorflow.op.summary.SummaryWriter: Factory method to create a class wrapping a new SummaryWriter operation.
create(Scope, ConfigureAndInitializeGlobalTPU.Options...) - Static method in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU: Factory method to create a class wrapping a new ConfigureAndInitializeGlobalTPU operation.
create(Scope, ConfigureDistributedTPU.Options...) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Factory method to create a class wrapping a new ConfigureDistributedTPU operation.
create(Scope, IsTPUEmbeddingInitialized.Options...) - Static method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized: Factory method to create a class wrapping a new IsTPUEmbeddingInitialized operation.
create(Scope, Operand, Iterable, Gradients.Options...) - Static method in class org.tensorflow.op.core.Gradients: Adds gradients computation ops to the graph according to scope.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.IsFinite: Factory method to create a class wrapping a new IsFinite operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.IsInf: Factory method to create a class wrapping a new IsInf operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.IsNan: Factory method to create a class wrapping a new IsNan operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.PopulationCount: Factory method to create a class wrapping a new PopulationCount operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.nn.IsotonicRegression: Factory method to create a class wrapping a new IsotonicRegression operation, with the default output types.
create(Scope, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomGetKeyCounter: Factory method to create a class wrapping a new StatelessRandomGetKeyCounter operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: Factory method to create a class wrapping a new StatelessRandomGetKeyCounterAlg operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.core.Ones: Creates a one valued tensor given its type and shape.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.core.Zeros: Creates a zeroed tensor given its type and shape.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.nn.IsotonicRegression: Factory method to create a class wrapping a new IsotonicRegression operation.
create(Scope, Operand, Class, RandomStandardNormal.Options...) - Static method in class org.tensorflow.op.random.RandomStandardNormal: Factory method to create a class wrapping a new RandomStandardNormal operation.
create(Scope, Operand, Class, RandomUniform.Options...) - Static method in class org.tensorflow.op.random.RandomUniform: Factory method to create a class wrapping a new RandomUniform operation.
create(Scope, Operand, Class, TruncatedNormal.Options...) - Static method in class org.tensorflow.op.random.TruncatedNormal: Factory method to create a class wrapping a new TruncatedNormal operation.
create(Scope, Operand, List) - Static method in class org.tensorflow.op.core.Bucketize: Factory method to create a class wrapping a new Bucketize operation.
create(Scope, Operand, EncodePng.Options...) - Static method in class org.tensorflow.op.image.EncodePng: Factory method to create a class wrapping a new EncodePng operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomNormal: Factory method to create a class wrapping a new StatelessRandomNormal operation, with the default output types.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomUniform: Factory method to create a class wrapping a new StatelessRandomUniform operation, with the default output types.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormal: Factory method to create a class wrapping a new StatelessTruncatedNormal operation, with the default output types.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatelessRandomNormal: Factory method to create a class wrapping a new StatelessRandomNormal operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatelessRandomUniform: Factory method to create a class wrapping a new StatelessRandomUniform operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatelessRandomUniformFullInt: Factory method to create a class wrapping a new StatelessRandomUniformFullInt operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormal: Factory method to create a class wrapping a new StatelessTruncatedNormal operation.
create(Scope, Operand, Operand, Class, RandomPoisson.Options...) - Static method in class org.tensorflow.op.random.RandomPoisson: Factory method to create a class wrapping a new RandomPoissonV2 operation.
create(Scope, Operand, Operand, String, MergeDedupData.Options...) - Static method in class org.tensorflow.op.tpu.MergeDedupData: Factory method to create a class wrapping a new MergeDedupData operation.
create(Scope, Operand, Operand, RandomPoisson.Options[]) - Static method in class org.tensorflow.op.random.RandomPoisson: Factory method to create a class wrapping a new RandomPoissonV2 operation, with the default output types.
create(Scope, Operand, Operand, SparseMatMul.Options...) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Factory method to create a class wrapping a new SparseMatMul operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatelessRandomPoisson: Factory method to create a class wrapping a new StatelessRandomPoisson operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, QuantizedMatMulWithBias.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Factory method to create a class wrapping a new QuantizedMatMulWithBias operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBiasAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndReluAndRequantize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBiasAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndRequantize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, QuantizedMatMulWithBiasAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndReluAndRequantize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, QuantizedMatMulWithBiasAndDequantize.Options...) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndDequantize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, QuantizedMatMulWithBiasAndRequantize.Options...) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndRequantize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DWithBiasSignedSumAndReluAndRequantize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBiasSumAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DWithBiasSumAndReluAndRequantize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.math.QuantizedAdd: Factory method to create a class wrapping a new QuantizedAdd operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.math.QuantizedMul: Factory method to create a class wrapping a new QuantizedMul operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.nn.QuantizedBiasAdd: Factory method to create a class wrapping a new QuantizedBiasAdd operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Class, Class, QuantizedMatMul.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMul: Factory method to create a class wrapping a new QuantizedMatMul operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2d.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2d: Factory method to create a class wrapping a new QuantizedConv2D operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DAndRelu.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Factory method to create a class wrapping a new QuantizedConv2DAndRelu operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DPerChannel.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Factory method to create a class wrapping a new QuantizedConv2DPerChannel operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedDepthwiseConv2D.Options...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Factory method to create a class wrapping a new QuantizedDepthwiseConv2D operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBias.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Factory method to create a class wrapping a new QuantizedConv2DWithBias operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBiasAndRelu.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndRelu operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedDepthwiseConv2DWithBias.Options...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBias operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedDepthwiseConv2DWithBiasAndRelu.Options...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndRelu operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, QuantizedMatMulWithBiasAndRelu.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndRelu operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DAndReluAndRequantize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DAndRequantize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBiasSumAndRelu.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Factory method to create a class wrapping a new QuantizedConv2DWithBiasSumAndRelu operation.
create(Scope, Operand, Operand, Operand, Operand, Class, Long, Long, UniformQuantizedDotHybrid.Options...) - Static method in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid: Factory method to create a class wrapping a new UniformQuantizedDotHybrid operation.
create(Scope, Operand, Operand, Operand, Operand, Class, String, Long, Long, UniformQuantizedConvolutionHybrid.Options...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Factory method to create a class wrapping a new UniformQuantizedConvolutionHybrid operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomBinomial: Factory method to create a class wrapping a new StatelessRandomBinomial operation, with the default output types.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomUniformInt: Factory method to create a class wrapping a new StatelessRandomUniformInt operation.
create(Scope, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatelessRandomBinomial: Factory method to create a class wrapping a new StatelessRandomBinomial operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal: Factory method to create a class wrapping a new StatelessParameterizedTruncatedNormal operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomNormalV2: Factory method to create a class wrapping a new StatelessRandomNormalV2 operation, with the default output types.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomUniformV2: Factory method to create a class wrapping a new StatelessRandomUniformV2 operation, with the default output types.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormalV2: Factory method to create a class wrapping a new StatelessTruncatedNormalV2 operation, with the default output types.
create(Scope, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.StochasticCastToInt: Factory method to create a class wrapping a new StochasticCastToInt operation.
create(Scope, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatelessRandomNormalV2: Factory method to create a class wrapping a new StatelessRandomNormalV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2: Factory method to create a class wrapping a new StatelessRandomUniformFullIntV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatelessRandomUniformV2: Factory method to create a class wrapping a new StatelessRandomUniformV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormalV2: Factory method to create a class wrapping a new StatelessTruncatedNormalV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomGamma: Factory method to create a class wrapping a new StatelessRandomGammaV3 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomUniformIntV2: Factory method to create a class wrapping a new StatelessRandomUniformIntV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.quantization.RequantizationRange: Factory method to create a class wrapping a new RequantizationRange operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.nn.QuantizedRelu: Factory method to create a class wrapping a new QuantizedRelu operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.nn.QuantizedRelu6: Factory method to create a class wrapping a new QuantizedRelu6 operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: Factory method to create a class wrapping a new QuantizeDownAndShrinkRange operation.
create(Scope, Operand, Operand, Operand, Class, Dequantize.Options...) - Static method in class org.tensorflow.op.quantization.Dequantize: Factory method to create a class wrapping a new Dequantize operation.
create(Scope, Operand, Operand, Operand, Float) - Static method in class org.tensorflow.op.math.RequantizationRangePerChannel: Factory method to create a class wrapping a new RequantizationRangePerChannel operation.
create(Scope, Operand, Operand, Operand, Dequantize.Options[]) - Static method in class org.tensorflow.op.quantization.Dequantize: Factory method to create a class wrapping a new Dequantize operation, with the default output types.
create(Scope, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.nn.QuantizedReluX: Factory method to create a class wrapping a new QuantizedReluX operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.math.RequantizePerChannel: Factory method to create a class wrapping a new RequantizePerChannel operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.quantization.Requantize: Factory method to create a class wrapping a new Requantize operation.
create(Scope, Operand, Operand, Operand, Class, Long, Long, UniformDequantize.Options...) - Static method in class org.tensorflow.op.quantization.UniformDequantize: Factory method to create a class wrapping a new UniformDequantize operation.
create(Scope, Operand, Operand, Operand, Class, Long, Long, UniformQuantize.Options...) - Static method in class org.tensorflow.op.quantization.UniformQuantize: Factory method to create a class wrapping a new UniformQuantize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Class, Long, Long, Long, Long, UniformRequantize.Options...) - Static method in class org.tensorflow.op.quantization.UniformRequantize: Factory method to create a class wrapping a new UniformRequantize operation.
create(Scope, Operand, Operand, Operand, Operand, CropAndResize.Options...) - Static method in class org.tensorflow.op.image.CropAndResize: Factory method to create a class wrapping a new CropAndResize operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.EmptyTensorList: Factory method to create a class wrapping a new EmptyTensorList operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.TensorListReserve: Factory method to create a class wrapping a new TensorListReserve operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.signal.Rfft: Factory method to create a class wrapping a new RFFT operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.signal.Rfft2d: Factory method to create a class wrapping a new RFFT2D operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.signal.Rfft3d: Factory method to create a class wrapping a new RFFT3D operation.
create(Scope, Operand, Operand, Class, Multinomial.Options...) - Static method in class org.tensorflow.op.random.Multinomial: Factory method to create a class wrapping a new Multinomial operation.
create(Scope, Operand, Operand, ResizeArea.Options...) - Static method in class org.tensorflow.op.image.ResizeArea: Factory method to create a class wrapping a new ResizeArea operation.
create(Scope, Operand, Operand, ResizeBicubic.Options...) - Static method in class org.tensorflow.op.image.ResizeBicubic: Factory method to create a class wrapping a new ResizeBicubic operation.
create(Scope, Operand, Operand, ResizeBilinear.Options...) - Static method in class org.tensorflow.op.image.ResizeBilinear: Factory method to create a class wrapping a new ResizeBilinear operation.
create(Scope, Operand, Operand, Multinomial.Options[]) - Static method in class org.tensorflow.op.random.Multinomial: Factory method to create a class wrapping a new Multinomial operation, with the default output types.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessMultinomial: Factory method to create a class wrapping a new StatelessMultinomial operation, with the default output types.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatelessMultinomial: Factory method to create a class wrapping a new StatelessMultinomial operation.
create(Scope, Operand, Operand, Operand, Operand, ScaleAndTranslate.Options...) - Static method in class org.tensorflow.op.image.ScaleAndTranslate: Factory method to create a class wrapping a new ScaleAndTranslate operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.signal.RfftNd: Factory method to create a class wrapping a new RFFTND operation.
create(Scope, Operand, Operand, Operand, Operand, OneHot.Options...) - Static method in class org.tensorflow.op.core.OneHot: Factory method to create a class wrapping a new OneHot operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.Fill: Factory method to create a class wrapping a new Fill operation.
create(Scope, Operand, Operand, Boolean, DenseCountSparseOutput.Options...) - Static method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Factory method to create a class wrapping a new DenseCountSparseOutput operation.
create(Scope, Operand, Operand, RandomGamma.Options...) - Static method in class org.tensorflow.op.random.RandomGamma: Factory method to create a class wrapping a new RandomGamma operation.
create(Scope, Operand, Operand, Operand, Operand, SparseTensorDenseMatMul.Options...) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: Factory method to create a class wrapping a new SparseTensorDenseMatMul operation.
create(Scope, Operand, Operand, Operand, Iterable, List) - Static method in class org.tensorflow.op.ragged.RaggedTensorToTensor: Factory method to create a class wrapping a new RaggedTensorToTensor operation.
create(Scope, Operand, Operand, Operand, List, String, Conv3dBackpropInput.Options...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput: Factory method to create a class wrapping a new Conv3DBackpropInputV2 operation.
create(Scope, Operand, Operand, Operand, RandomUniformInt.Options...) - Static method in class org.tensorflow.op.random.RandomUniformInt: Factory method to create a class wrapping a new RandomUniformInt operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, ParameterizedTruncatedNormal.Options...) - Static method in class org.tensorflow.op.random.ParameterizedTruncatedNormal: Factory method to create a class wrapping a new ParameterizedTruncatedNormal operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.ConsumeMutexLock: Factory method to create a class wrapping a new ConsumeMutexLock operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.GetOptions: Factory method to create a class wrapping a new GetOptions operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.GetSessionHandle: Factory method to create a class wrapping a new GetSessionHandleV2 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.IsVariableInitialized: Factory method to create a class wrapping a new IsVariableInitialized operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.LookupTableSize: Factory method to create a class wrapping a new LookupTableSizeV2 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.MutexLock: Factory method to create a class wrapping a new MutexLock operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.Rank: Factory method to create a class wrapping a new Rank operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.Shape: Factory method to create a class wrapping a new Shape operation, with the default output types.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.Size: Factory method to create a class wrapping a new Size operation, with the default output types.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.StackClose: Factory method to create a class wrapping a new StackCloseV2 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.TensorArrayClose: Factory method to create a class wrapping a new TensorArrayCloseV3 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.TensorListLength: Factory method to create a class wrapping a new TensorListLength operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.TensorMapSize: Factory method to create a class wrapping a new TensorMapSize operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.VariableShape: Factory method to create a class wrapping a new VariableShape operation, with the default output types.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.VarIsInitializedOp: Factory method to create a class wrapping a new VarIsInitializedOp operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.Where: Factory method to create a class wrapping a new Where operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.DatasetFingerprint: Factory method to create a class wrapping a new DatasetFingerprint operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.experimental.DatasetCardinality: Factory method to create a class wrapping a new ExperimentalDatasetCardinality operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.experimental.IteratorGetDevice: Factory method to create a class wrapping a new ExperimentalIteratorGetDevice operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.experimental.StatsAggregatorSummary: Factory method to create a class wrapping a new ExperimentalStatsAggregatorSummary operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.IteratorGetDevice: Factory method to create a class wrapping a new IteratorGetDevice operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.IteratorGetModelProto: Factory method to create a class wrapping a new IteratorGetModelProto operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.IteratorToStringHandle: Factory method to create a class wrapping a new IteratorToStringHandle operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle: Factory method to create a class wrapping a new MultiDeviceIteratorToStringHandle operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.OptionalHasValue: Factory method to create a class wrapping a new OptionalHasValue operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.UnwrapDatasetVariant: Factory method to create a class wrapping a new UnwrapDatasetVariant operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.WrapDatasetVariant: Factory method to create a class wrapping a new WrapDatasetVariant operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.dtypes.ToBool: Factory method to create a class wrapping a new ToBool operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.DisableCopyOnRead: Factory method to create a class wrapping a new DisableCopyOnRead operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.FakeQueue: Factory method to create a class wrapping a new FakeQueue operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.QueueIsClosed: Factory method to create a class wrapping a new QueueIsClosedV2 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.QueueSize: Factory method to create a class wrapping a new QueueSizeV2 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.ReaderNumRecordsProduced: Factory method to create a class wrapping a new ReaderNumRecordsProducedV2 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted: Factory method to create a class wrapping a new ReaderNumWorkUnitsCompletedV2 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.ReaderReset: Factory method to create a class wrapping a new ReaderResetV2 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.ReaderSerializeState: Factory method to create a class wrapping a new ReaderSerializeStateV2 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.SerializeTensor: Factory method to create a class wrapping a new SerializeTensor operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ: Factory method to create a class wrapping a new SparseMatrixNNZ operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD: Factory method to create a class wrapping a new SparseMatrixOrderingAMD operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Angle: Factory method to create a class wrapping a new Angle operation, with the default output types.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.ComplexAbs: Factory method to create a class wrapping a new ComplexAbs operation, with the default output types.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Imag: Factory method to create a class wrapping a new Imag operation, with the default output types.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Real: Factory method to create a class wrapping a new Real operation, with the default output types.
create(Scope, Operand) - Static method in class org.tensorflow.op.random.NonDeterministicInts: Factory method to create a class wrapping a new NonDeterministicInts operation, with the default output types.
create(Scope, Operand) - Static method in class org.tensorflow.op.signal.BatchFft: Factory method to create a class wrapping a new BatchFFT operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.signal.BatchFft2d: Factory method to create a class wrapping a new BatchFFT2D operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.signal.BatchFft3d: Factory method to create a class wrapping a new BatchFFT3D operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.signal.BatchIfft: Factory method to create a class wrapping a new BatchIFFT operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.signal.BatchIfft2d: Factory method to create a class wrapping a new BatchIFFT2D operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.signal.BatchIfft3d: Factory method to create a class wrapping a new BatchIFFT3D operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.summary.CloseSummaryWriter: Factory method to create a class wrapping a new CloseSummaryWriter operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.summary.FlushSummaryWriter: Factory method to create a class wrapping a new FlushSummaryWriter operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.summary.StatsAggregatorSummary: Factory method to create a class wrapping a new StatsAggregatorSummary operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.tpu.OutfeedEnqueue: Factory method to create a class wrapping a new OutfeedEnqueue operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.train.ComputeBatchSize: Factory method to create a class wrapping a new ComputeBatchSize operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated: Factory method to create a class wrapping a new ResourceAccumulatorNumAccumulated operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.core.ReadVariableOp: Factory method to create a class wrapping a new ReadVariableOp operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.core.StackPop: Factory method to create a class wrapping a new StackPopV2 operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.core.TensorListElementShape: Factory method to create a class wrapping a new TensorListElementShape operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.core.TensorMapStackKeys: Factory method to create a class wrapping a new TensorMapStackKeys operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.core.VariableShape: Factory method to create a class wrapping a new VariableShape operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense: Factory method to create a class wrapping a new CSRSparseMatrixToDense operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: Factory method to create a class wrapping a new CSRSparseMatrixToSparseTensor operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax: Factory method to create a class wrapping a new SparseMatrixSoftmax operation.
create(Scope, Operand, Class, Class) - Static method in class org.tensorflow.op.core.LookupTableExport: Factory method to create a class wrapping a new LookupTableExportV2 operation.
create(Scope, Operand, Class, Class, String, SplitDedupData.Options...) - Static method in class org.tensorflow.op.tpu.SplitDedupData: Factory method to create a class wrapping a new SplitDedupData operation.
create(Scope, Operand, Class, Long, List, ReadVariableSplitND.Options...) - Static method in class org.tensorflow.op.xla.ReadVariableSplitND: Factory method to create a class wrapping a new ReadVariableXlaSplitND operation.
create(Scope, Operand, Class, SparseMatrixTranspose.Options...) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose: Factory method to create a class wrapping a new SparseMatrixTranspose operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.core.Bitcast: Factory method to create a class wrapping a new Bitcast operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.core.Shape: Factory method to create a class wrapping a new Shape operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.core.Size: Factory method to create a class wrapping a new Size operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.math.Angle: Factory method to create a class wrapping a new Angle operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.math.ComplexAbs: Factory method to create a class wrapping a new ComplexAbs operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.math.Imag: Factory method to create a class wrapping a new Imag operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.math.Real: Factory method to create a class wrapping a new Real operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.random.NonDeterministicInts: Factory method to create a class wrapping a new NonDeterministicInts operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.sparse.DeserializeSparse: Factory method to create a class wrapping a new DeserializeSparse operation.
create(Scope, Operand, Class, DebugNumericsSummary.Options...) - Static method in class org.tensorflow.op.debugging.DebugNumericsSummary: Factory method to create a class wrapping a new DebugNumericSummaryV2 operation.
create(Scope, Operand, Class, Cast.Options...) - Static method in class org.tensorflow.op.dtypes.Cast: Factory method to create a class wrapping a new Cast operation.
create(Scope, Operand, Class, Eig.Options...) - Static method in class org.tensorflow.op.linalg.Eig: Factory method to create a class wrapping a new Eig operation.
create(Scope, Operand, Iterable, Iterable, Iterable, Iterable, ConcreteFunction, ConcreteFunction, ConcreteFunction, ConcreteFunction, List, List) - Static method in class org.tensorflow.op.data.experimental.GroupByReducerDataset: Factory method to create a class wrapping a new ExperimentalGroupByReducerDataset operation.
create(Scope, Operand, Iterable, Iterable, Iterable, Iterable, ConcreteFunction, ConcreteFunction, ConcreteFunction, ConcreteFunction, List, List) - Static method in class org.tensorflow.op.data.GroupByReducerDataset: Factory method to create a class wrapping a new GroupByReducerDataset operation.
create(Scope, Operand, Iterable, Iterable, Iterable, ConcreteFunction, ConcreteFunction, ConcreteFunction, List, List) - Static method in class org.tensorflow.op.data.experimental.GroupByWindowDataset: Factory method to create a class wrapping a new ExperimentalGroupByWindowDataset operation.
create(Scope, Operand, Iterable, Iterable, Iterable, ConcreteFunction, ConcreteFunction, ConcreteFunction, List, List, GroupByWindowDataset.Options...) - Static method in class org.tensorflow.op.data.GroupByWindowDataset: Factory method to create a class wrapping a new GroupByWindowDataset operation.
create(Scope, Operand, Iterable, Iterable, ConcreteFunction, List, List, ScanDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.ScanDataset: Factory method to create a class wrapping a new ExperimentalScanDataset operation.
create(Scope, Operand, Iterable, Iterable, ConcreteFunction, List, List, ReduceDataset.Options...) - Static method in class org.tensorflow.op.data.ReduceDataset: Factory method to create a class wrapping a new ReduceDataset operation.
create(Scope, Operand, Iterable, Iterable, ConcreteFunction, List, List, ScanDataset.Options...) - Static method in class org.tensorflow.op.data.ScanDataset: Factory method to create a class wrapping a new ScanDataset operation.
create(Scope, Operand, Iterable, Iterable, Operand, ConcreteFunction, ConcreteFunction, List, List, IndexFlatMapDataset.Options...) - Static method in class org.tensorflow.op.data.IndexFlatMapDataset: Factory method to create a class wrapping a new IndexFlatMapDataset operation.
create(Scope, Operand, Iterable, List, ConcreteFunction, ConcreteFunction, If.Options...) - Static method in interface org.tensorflow.op.core.If: Factory method to create a class wrapping a new If operation.
create(Scope, Operand, Iterable, List, ConcreteFunction, ConcreteFunction, If.Options...) - Static method in class org.tensorflow.op.core.StatefulIf: Factory method to create a class wrapping a new If operation.
create(Scope, Operand, Iterable, List, ConcreteFunction, ConcreteFunction, If.Options...) - Static method in class org.tensorflow.op.core.StatelessIf: Factory method to create a class wrapping a new StatelessIf operation.
create(Scope, Operand, Iterable, ConcreteFunction, List, List) - Static method in class org.tensorflow.op.data.experimental.TakeWhileDataset: Factory method to create a class wrapping a new ExperimentalTakeWhileDataset operation.
create(Scope, Operand, Iterable, ConcreteFunction, List, List, MapDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.MapDataset: Factory method to create a class wrapping a new ExperimentalMapDataset operation.
create(Scope, Operand, Iterable, ConcreteFunction, List, List, FilterDataset.Options...) - Static method in class org.tensorflow.op.data.FilterDataset: Factory method to create a class wrapping a new FilterDataset operation.
create(Scope, Operand, Iterable, ConcreteFunction, List, List, FlatMapDataset.Options...) - Static method in class org.tensorflow.op.data.FlatMapDataset: Factory method to create a class wrapping a new FlatMapDataset operation.
create(Scope, Operand, Iterable, ConcreteFunction, List, List, MapDataset.Options...) - Static method in class org.tensorflow.op.data.MapDataset: Factory method to create a class wrapping a new MapDataset operation.
create(Scope, Operand, Iterable, ConcreteFunction, List, List, TakeWhileDataset.Options...) - Static method in class org.tensorflow.op.data.TakeWhileDataset: Factory method to create a class wrapping a new TakeWhileDataset operation.
create(Scope, Operand, Iterable, QueueEnqueue.Options...) - Static method in class org.tensorflow.op.io.QueueEnqueue: Factory method to create a class wrapping a new QueueEnqueueV2 operation.
create(Scope, Operand, Iterable, QueueEnqueueMany.Options...) - Static method in class org.tensorflow.op.io.QueueEnqueueMany: Factory method to create a class wrapping a new QueueEnqueueManyV2 operation.
create(Scope, Operand, Iterable, Operand, ConcreteFunction, List, List, ParallelFilterDataset.Options...) - Static method in class org.tensorflow.op.data.ParallelFilterDataset: Factory method to create a class wrapping a new ParallelFilterDataset operation.
create(Scope, Operand, Iterable, Operand, ConcreteFunction, List, List, ParallelMapDataset.Options...) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Factory method to create a class wrapping a new ParallelMapDatasetV2 operation.
create(Scope, Operand, Iterable, Operand, Operand, ConcreteFunction, List, List, InterleaveDataset.Options...) - Static method in class org.tensorflow.op.data.InterleaveDataset: Factory method to create a class wrapping a new InterleaveDataset operation.
create(Scope, Operand, Iterable, Operand, Operand, Operand, ConcreteFunction, List, List, MapAndBatchDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.MapAndBatchDataset: Factory method to create a class wrapping a new ExperimentalMapAndBatchDataset operation.
create(Scope, Operand, Iterable, Operand, Operand, Operand, ConcreteFunction, List, List, MapAndBatchDataset.Options...) - Static method in class org.tensorflow.op.data.MapAndBatchDataset: Factory method to create a class wrapping a new MapAndBatchDataset operation.
create(Scope, Operand, Iterable, Operand, Operand, Operand, Operand, Operand, ConcreteFunction, List, List) - Static method in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset: Factory method to create a class wrapping a new ExperimentalParallelInterleaveDataset operation.
create(Scope, Operand, Iterable, Operand, Operand, Operand, Operand, ConcreteFunction, List, List, LegacyParallelInterleaveDataset.Options...) - Static method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: Factory method to create a class wrapping a new LegacyParallelInterleaveDatasetV2 operation.
create(Scope, Operand, Iterable, Operand, Operand, Operand, Operand, Operand, ConcreteFunction, List, List, ParallelInterleaveDataset.Options...) - Static method in class org.tensorflow.op.data.ParallelInterleaveDataset: Factory method to create a class wrapping a new ParallelInterleaveDatasetV4 operation.
create(Scope, Operand, Iterable, List, List) - Static method in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset: Factory method to create a class wrapping a new ExperimentalDirectedInterleaveDataset operation.
create(Scope, Operand, Iterable, List, List, DirectedInterleaveDataset.Options...) - Static method in class org.tensorflow.op.data.DirectedInterleaveDataset: Factory method to create a class wrapping a new DirectedInterleaveDataset operation.
create(Scope, Operand, Iterable, List, AssignVariableConcatND.Options...) - Static method in class org.tensorflow.op.xla.AssignVariableConcatND: Factory method to create a class wrapping a new AssignVariableXlaConcatND operation.
create(Scope, Operand, Iterable, Operand) - Static method in class org.tensorflow.op.data.DeleteMultiDeviceIterator: Factory method to create a class wrapping a new DeleteMultiDeviceIterator operation.
create(Scope, Operand, Long, Class) - Static method in class org.tensorflow.op.core.ResourceCountUpTo: Factory method to create a class wrapping a new ResourceCountUpTo operation.
create(Scope, Operand, Long, Long, Class) - Static method in class org.tensorflow.op.ragged.RaggedTensorFromVariant: Factory method to create a class wrapping a new RaggedTensorFromVariant operation, with the default output types.
create(Scope, Operand, Long, Long, Class, Class) - Static method in class org.tensorflow.op.ragged.RaggedTensorFromVariant: Factory method to create a class wrapping a new RaggedTensorFromVariant operation.
create(Scope, Operand, Long, String, String, String, String) - Static method in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations: Factory method to create a class wrapping a new XlaRecvTPUEmbeddingActivationsV2 operation.
create(Scope, Operand, String) - Static method in class org.tensorflow.op.xla.XlaSendToHost: Factory method to create a class wrapping a new XlaSendToHost operation.
create(Scope, Operand, String, String, Long, String, Send.Options...) - Static method in class org.tensorflow.op.core.Send: Factory method to create a class wrapping a new Send operation.
create(Scope, Operand, String, List) - Static method in class org.tensorflow.op.core.CompositeTensorVariantToComponents: Factory method to create a class wrapping a new CompositeTensorVariantToComponents operation.
create(Scope, Operand, String, List, List, OptionsDataset.Options...) - Static method in class org.tensorflow.op.data.OptionsDataset: Factory method to create a class wrapping a new OptionsDataset operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.NonSerializableDataset: Factory method to create a class wrapping a new ExperimentalNonSerializableDataset operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.UnbatchDataset: Factory method to create a class wrapping a new ExperimentalUnbatchDataset operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.UniqueDataset: Factory method to create a class wrapping a new ExperimentalUniqueDataset operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.FilterByLastComponentDataset: Factory method to create a class wrapping a new FilterByLastComponentDataset operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.IteratorGetNext: Factory method to create a class wrapping a new IteratorGetNext operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.IteratorGetNextAsOptional: Factory method to create a class wrapping a new IteratorGetNextAsOptional operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.IteratorGetNextSync: Factory method to create a class wrapping a new IteratorGetNextSync operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.NonSerializableDataset: Factory method to create a class wrapping a new NonSerializableDataset operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.OptionalGetValue: Factory method to create a class wrapping a new OptionalGetValue operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.UncompressElement: Factory method to create a class wrapping a new UncompressElement operation.
create(Scope, Operand, List, List, DatasetToSingleElement.Options...) - Static method in class org.tensorflow.op.data.DatasetToSingleElement: Factory method to create a class wrapping a new DatasetToSingleElement operation.
create(Scope, Operand, List, List, IgnoreErrorsDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset: Factory method to create a class wrapping a new ExperimentalIgnoreErrorsDataset operation.
create(Scope, Operand, List, List, FinalizeDataset.Options...) - Static method in class org.tensorflow.op.data.FinalizeDataset: Factory method to create a class wrapping a new FinalizeDataset operation.
create(Scope, Operand, List, List, IgnoreErrorsDataset.Options...) - Static method in class org.tensorflow.op.data.IgnoreErrorsDataset: Factory method to create a class wrapping a new IgnoreErrorsDataset operation.
create(Scope, Operand, List, List, ModelDataset.Options...) - Static method in class org.tensorflow.op.data.ModelDataset: Factory method to create a class wrapping a new ModelDataset operation.
create(Scope, Operand, List, List, UnbatchDataset.Options...) - Static method in class org.tensorflow.op.data.UnbatchDataset: Factory method to create a class wrapping a new UnbatchDataset operation.
create(Scope, Operand, List, List, UniqueDataset.Options...) - Static method in class org.tensorflow.op.data.UniqueDataset: Factory method to create a class wrapping a new UniqueDataset operation.
create(Scope, Operand, List, QueueDequeue.Options...) - Static method in class org.tensorflow.op.io.QueueDequeue: Factory method to create a class wrapping a new QueueDequeueV2 operation.
create(Scope, Operand, DestroyResourceOp.Options...) - Static method in class org.tensorflow.op.core.DestroyResourceOp: Factory method to create a class wrapping a new DestroyResourceOp operation.
create(Scope, Operand, DatasetCardinality.Options...) - Static method in class org.tensorflow.op.data.DatasetCardinality: Factory method to create a class wrapping a new DatasetCardinality operation.
create(Scope, Operand, DatasetToGraph.Options...) - Static method in class org.tensorflow.op.data.DatasetToGraph: Factory method to create a class wrapping a new DatasetToGraphV2 operation.
create(Scope, Operand, SerializeIterator.Options...) - Static method in class org.tensorflow.op.data.SerializeIterator: Factory method to create a class wrapping a new SerializeIterator operation.
create(Scope, Operand, DebugNanCount.Options...) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Factory method to create a class wrapping a new DebugNanCount operation.
create(Scope, Operand, DebugNumericsSummary.Options[]) - Static method in class org.tensorflow.op.debugging.DebugNumericsSummary: Factory method to create a class wrapping a new DebugNumericSummaryV2 operation, with the default output types.
create(Scope, Operand, AsString.Options...) - Static method in class org.tensorflow.op.dtypes.AsString: Factory method to create a class wrapping a new AsString operation.
create(Scope, Operand, QueueClose.Options...) - Static method in class org.tensorflow.op.io.QueueClose: Factory method to create a class wrapping a new QueueCloseV2 operation.
create(Scope, Operand, InfeedEnqueue.Options...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Factory method to create a class wrapping a new InfeedEnqueue operation.
create(Scope, Operand, InfeedEnqueuePrelinearizedBuffer.Options...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer: Factory method to create a class wrapping a new InfeedEnqueuePrelinearizedBuffer operation.
create(Scope, Operand, Prelinearize.Options...) - Static method in class org.tensorflow.op.tpu.Prelinearize: Factory method to create a class wrapping a new Prelinearize operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorListFromTensor: Factory method to create a class wrapping a new TensorListFromTensor operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.ArgMax: Factory method to create a class wrapping a new ArgMax operation, with the default output types.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.ArgMin: Factory method to create a class wrapping a new ArgMin operation, with the default output types.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.ResourceGatherNd: Factory method to create a class wrapping a new ResourceGatherNd operation.
create(Scope, Operand, Operand, Class, ResourceGather.Options...) - Static method in class org.tensorflow.op.core.ResourceGather: Factory method to create a class wrapping a new ResourceGather operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.math.ArgMax: Factory method to create a class wrapping a new ArgMax operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.math.ArgMin: Factory method to create a class wrapping a new ArgMin operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.ResourceScatterAdd: Factory method to create a class wrapping a new ResourceScatterAdd operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.ResourceScatterDiv: Factory method to create a class wrapping a new ResourceScatterDiv operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.ResourceScatterMax: Factory method to create a class wrapping a new ResourceScatterMax operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.ResourceScatterMin: Factory method to create a class wrapping a new ResourceScatterMin operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.ResourceScatterMul: Factory method to create a class wrapping a new ResourceScatterMul operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.ResourceScatterSub: Factory method to create a class wrapping a new ResourceScatterSub operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.ResourceScatterUpdate: Factory method to create a class wrapping a new ResourceScatterUpdate operation.
create(Scope, Operand, Operand, Operand, ResourceScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdAdd: Factory method to create a class wrapping a new ResourceScatterNdAdd operation.
create(Scope, Operand, Operand, Operand, ResourceScatterNdMax.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdMax: Factory method to create a class wrapping a new ResourceScatterNdMax operation.
create(Scope, Operand, Operand, Operand, ResourceScatterNdMin.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdMin: Factory method to create a class wrapping a new ResourceScatterNdMin operation.
create(Scope, Operand, Operand, Operand, ResourceScatterNdSub.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdSub: Factory method to create a class wrapping a new ResourceScatterNdSub operation.
create(Scope, Operand, Operand, Operand, ResourceScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdUpdate: Factory method to create a class wrapping a new ResourceScatterNdUpdate operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient: Factory method to create a class wrapping a new RaggedTensorToVariantGradient operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorListSplit: Factory method to create a class wrapping a new TensorListSplit operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.TensorListConcat: Factory method to create a class wrapping a new TensorListConcatV2 operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.AssignAddVariableOp: Factory method to create a class wrapping a new AssignAddVariableOp operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.AssignSubVariableOp: Factory method to create a class wrapping a new AssignSubVariableOp operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.LookupTableRemove: Factory method to create a class wrapping a new LookupTableRemoveV2 operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorListPushBack: Factory method to create a class wrapping a new TensorListPushBack operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorListPushBackBatch: Factory method to create a class wrapping a new TensorListPushBackBatch operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorMapHasKey: Factory method to create a class wrapping a new TensorMapHasKey operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.data.DeleteIterator: Factory method to create a class wrapping a new DeleteIterator operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.data.DeleteMemoryCache: Factory method to create a class wrapping a new DeleteMemoryCache operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.data.DeserializeIterator: Factory method to create a class wrapping a new DeserializeIterator operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.data.InitializeTableFromDataset: Factory method to create a class wrapping a new InitializeTableFromDataset operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.data.MakeIterator: Factory method to create a class wrapping a new MakeIterator operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter: Factory method to create a class wrapping a new StatsAggregatorSetSummaryWriter operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.io.ReaderRead: Factory method to create a class wrapping a new ReaderReadV2 operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMul: Factory method to create a class wrapping a new SparseMatrixMul operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.random.DeleteRandomSeedGenerator: Factory method to create a class wrapping a new DeleteRandomSeedGenerator operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.random.DeleteSeedGenerator: Factory method to create a class wrapping a new DeleteSeedGenerator operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.TensorListConcatLists: Factory method to create a class wrapping a new TensorListConcatLists operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad: Factory method to create a class wrapping a new SparseMatrixSoftmaxGrad operation.
create(Scope, Operand, Operand, Class, SparseMatrixSparseMatMul.Options...) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Factory method to create a class wrapping a new SparseMatrixSparseMatMul operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.TensorMapErase: Factory method to create a class wrapping a new TensorMapErase operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.TensorMapLookup: Factory method to create a class wrapping a new TensorMapLookup operation.
create(Scope, Operand, Operand, Class, BatchMatMul.Options...) - Static method in class org.tensorflow.op.train.BatchMatMul: Factory method to create a class wrapping a new BatchMatMulV3 operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolDataset: Factory method to create a class wrapping a new ExperimentalThreadPoolDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.ThreadPoolDataset: Factory method to create a class wrapping a new ThreadPoolDataset operation.
create(Scope, Operand, Operand, List, List, ConcatenateDataset.Options...) - Static method in class org.tensorflow.op.data.ConcatenateDataset: Factory method to create a class wrapping a new ConcatenateDataset operation.
create(Scope, Operand, Operand, AssignVariableOp.Options...) - Static method in class org.tensorflow.op.core.AssignVariableOp: Factory method to create a class wrapping a new AssignVariableOp operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.InitializeTable: Factory method to create a class wrapping a new InitializeTableV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.LookupTableImport: Factory method to create a class wrapping a new LookupTableImportV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.LookupTableInsert: Factory method to create a class wrapping a new LookupTableInsertV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorMapInsert: Factory method to create a class wrapping a new TensorMapInsert operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp: Factory method to create a class wrapping a new ResourceApplyCenteredRMSProp operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp: Factory method to create a class wrapping a new ResourceSparseApplyCenteredRMSProp operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyAdamWithAmsgrad.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad: Factory method to create a class wrapping a new ResourceApplyAdamWithAmsgrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa: Factory method to create a class wrapping a new ResourceSparseApplyAdagradDA operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyFtrl: Factory method to create a class wrapping a new ResourceSparseApplyFtrlV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdadelta: Factory method to create a class wrapping a new ResourceApplyAdadelta operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdadelta: Factory method to create a class wrapping a new ResourceSparseApplyAdadelta operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdagradDa: Factory method to create a class wrapping a new ResourceApplyAdagradDA operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyRmsProp: Factory method to create a class wrapping a new ResourceApplyRMSProp operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyRmsProp: Factory method to create a class wrapping a new ResourceSparseApplyRMSProp operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyAdaMax.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdaMax: Factory method to create a class wrapping a new ResourceApplyAdaMax operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyFtrl: Factory method to create a class wrapping a new ResourceApplyFtrlV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyAdam.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdam: Factory method to create a class wrapping a new ResourceApplyAdam operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorListScatterIntoExistingList: Factory method to create a class wrapping a new TensorListScatterIntoExistingList operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorInit: Factory method to create a class wrapping a new MultiDeviceIteratorInit operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.io.ReaderReadUpTo: Factory method to create a class wrapping a new ReaderReadUpToV2 operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorArraySplit: Factory method to create a class wrapping a new TensorArraySplitV3 operation.
create(Scope, Operand, Operand, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset: Factory method to create a class wrapping a new ExperimentalSetStatsAggregatorDataset operation.
create(Scope, Operand, Operand, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.SetStatsAggregatorDataset: Factory method to create a class wrapping a new SetStatsAggregatorDataset operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd: Factory method to create a class wrapping a new SparseMatrixAdd operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad: Factory method to create a class wrapping a new ResourceSparseApplyAdagrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyKerasMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum: Factory method to create a class wrapping a new ResourceSparseApplyKerasMomentum operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyMomentum: Factory method to create a class wrapping a new ResourceSparseApplyMomentum operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, ResourceApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdagrad: Factory method to create a class wrapping a new ResourceApplyAdagradV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, ResourceApplyKerasMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyKerasMomentum: Factory method to create a class wrapping a new ResourceApplyKerasMomentum operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, ResourceApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum: Factory method to create a class wrapping a new ResourceApplyMomentum operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyAdagradV2.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2: Factory method to create a class wrapping a new ResourceSparseApplyAdagradV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyProximalAdagrad: Factory method to create a class wrapping a new ResourceApplyProximalAdagrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad: Factory method to create a class wrapping a new ResourceSparseApplyProximalAdagrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyAddSign.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAddSign: Factory method to create a class wrapping a new ResourceApplyAddSign operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyPowerSign.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyPowerSign: Factory method to create a class wrapping a new ResourceApplyPowerSign operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.LookupTableFind: Factory method to create a class wrapping a new LookupTableFindV2 operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorArraySize: Factory method to create a class wrapping a new TensorArraySizeV3 operation.
create(Scope, Operand, Operand, Class, TensorArrayConcat.Options...) - Static method in class org.tensorflow.op.core.TensorArrayConcat: Factory method to create a class wrapping a new TensorArrayConcatV3 operation.
create(Scope, Operand, Operand, String) - Static method in class org.tensorflow.op.core.TensorArrayGrad: Factory method to create a class wrapping a new TensorArrayGradV3 operation.
create(Scope, Operand, Operand, Operand, String) - Static method in class org.tensorflow.op.core.TensorArrayGradWithShape: Factory method to create a class wrapping a new TensorArrayGradWithShape operation.
create(Scope, Operand, Operand, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.SamplingDataset: Factory method to create a class wrapping a new SamplingDataset operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorListResize: Factory method to create a class wrapping a new TensorListResize operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.signal.Irfft: Factory method to create a class wrapping a new IRFFT operation, with the default output types.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.signal.Irfft2d: Factory method to create a class wrapping a new IRFFT2D operation, with the default output types.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.signal.Irfft3d: Factory method to create a class wrapping a new IRFFT3D operation, with the default output types.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.TensorListPopBack: Factory method to create a class wrapping a new TensorListPopBack operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: Factory method to create a class wrapping a new CSRSparseMatrixComponents operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky: Factory method to create a class wrapping a new SparseMatrixSparseCholesky operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient: Factory method to create a class wrapping a new ResourceAccumulatorTakeGradient operation.
create(Scope, Operand, Operand, Class, TensorListStack.Options...) - Static method in class org.tensorflow.op.core.TensorListStack: Factory method to create a class wrapping a new TensorListStack operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.signal.Irfft: Factory method to create a class wrapping a new IRFFT operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.signal.Irfft2d: Factory method to create a class wrapping a new IRFFT2D operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.signal.Irfft3d: Factory method to create a class wrapping a new IRFFT3D operation.
create(Scope, Operand, Operand, List, QueueDequeueMany.Options...) - Static method in class org.tensorflow.op.io.QueueDequeueMany: Factory method to create a class wrapping a new QueueDequeueManyV2 operation.
create(Scope, Operand, Operand, List, QueueDequeueUpTo.Options...) - Static method in class org.tensorflow.op.io.QueueDequeueUpTo: Factory method to create a class wrapping a new QueueDequeueUpToV2 operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorListScatter: Factory method to create a class wrapping a new TensorListScatterV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.RngReadAndSkip: Factory method to create a class wrapping a new RngReadAndSkip operation.
create(Scope, Operand, Operand, Operand, TensorListSetItem.Options...) - Static method in class org.tensorflow.op.core.TensorListSetItem: Factory method to create a class wrapping a new TensorListSetItem operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorArrayScatter: Factory method to create a class wrapping a new TensorArrayScatterV3 operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorArrayWrite: Factory method to create a class wrapping a new TensorArrayWriteV3 operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.TensorArrayRead: Factory method to create a class wrapping a new TensorArrayReadV3 operation.
create(Scope, Operand, Operand, Operand, Class, TensorArrayGather.Options...) - Static method in class org.tensorflow.op.core.TensorArrayGather: Factory method to create a class wrapping a new TensorArrayGatherV3 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.signal.IrfftNd: Factory method to create a class wrapping a new IRFFTND operation, with the default output types.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.TensorListGather: Factory method to create a class wrapping a new TensorListGather operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.TensorListGetItem: Factory method to create a class wrapping a new TensorListGetItem operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.signal.IrfftNd: Factory method to create a class wrapping a new IRFFTND operation.
create(Scope, Operand, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard: Factory method to create a class wrapping a new MultiDeviceIteratorGetNextFromShard operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix: Factory method to create a class wrapping a new DenseToCSRSparseMatrix operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep: Factory method to create a class wrapping a new ResourceAccumulatorSetGlobalStep operation.
create(Scope, Operand, Operand, Iterable, List, List, List, List, List, List, List, List, ParseExampleDataset.Options...) - Static method in class org.tensorflow.op.data.ParseExampleDataset: Factory method to create a class wrapping a new ParseExampleDatasetV2 operation.
create(Scope, Operand, Operand, Iterable, List, List, List, List, List, List, ParseExampleDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.ParseExampleDataset: Factory method to create a class wrapping a new ExperimentalParseExampleDataset operation.
create(Scope, Operand, Operand, Iterable, Iterable, Operand, List, PaddedBatchDataset.Options...) - Static method in class org.tensorflow.op.data.PaddedBatchDataset: Factory method to create a class wrapping a new PaddedBatchDatasetV2 operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.core.GetElementAtIndex: Factory method to create a class wrapping a new GetElementAtIndex operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.AssertCardinalityDataset: Factory method to create a class wrapping a new AssertCardinalityDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset: Factory method to create a class wrapping a new ExperimentalMaxIntraOpParallelismDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset: Factory method to create a class wrapping a new ExperimentalPrivateThreadPoolDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.SleepDataset: Factory method to create a class wrapping a new ExperimentalSleepDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.MaxIntraOpParallelismDataset: Factory method to create a class wrapping a new MaxIntraOpParallelismDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.PrivateThreadPoolDataset: Factory method to create a class wrapping a new PrivateThreadPoolDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.SleepDataset: Factory method to create a class wrapping a new SleepDataset operation.
create(Scope, Operand, Operand, List, List, RebatchDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.RebatchDataset: Factory method to create a class wrapping a new ExperimentalRebatchDataset operation.
create(Scope, Operand, Operand, List, List, PrefetchDataset.Options...) - Static method in class org.tensorflow.op.data.PrefetchDataset: Factory method to create a class wrapping a new PrefetchDataset operation.
create(Scope, Operand, Operand, List, List, RepeatDataset.Options...) - Static method in class org.tensorflow.op.data.RepeatDataset: Factory method to create a class wrapping a new RepeatDataset operation.
create(Scope, Operand, Operand, List, List, SkipDataset.Options...) - Static method in class org.tensorflow.op.data.SkipDataset: Factory method to create a class wrapping a new SkipDataset operation.
create(Scope, Operand, Operand, List, List, TakeDataset.Options...) - Static method in class org.tensorflow.op.data.TakeDataset: Factory method to create a class wrapping a new TakeDataset operation.
create(Scope, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatefulRandomBinomial: Factory method to create a class wrapping a new StatefulRandomBinomial operation, with the default output types.
create(Scope, Operand, Operand, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatefulRandomBinomial: Factory method to create a class wrapping a new StatefulRandomBinomial operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatefulStandardNormal: Factory method to create a class wrapping a new StatefulStandardNormalV2 operation, with the default output types.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatefulTruncatedNormal: Factory method to create a class wrapping a new StatefulTruncatedNormal operation, with the default output types.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatefulUniform: Factory method to create a class wrapping a new StatefulUniform operation, with the default output types.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient: Factory method to create a class wrapping a new ResourceAccumulatorApplyGradient operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatefulStandardNormal: Factory method to create a class wrapping a new StatefulStandardNormalV2 operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatefulTruncatedNormal: Factory method to create a class wrapping a new StatefulTruncatedNormal operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatefulUniform: Factory method to create a class wrapping a new StatefulUniform operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.random.StatefulUniformFullInt: Factory method to create a class wrapping a new StatefulUniformFullInt operation.
create(Scope, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.summary.WriteSummary: Factory method to create a class wrapping a new WriteSummary operation.
create(Scope, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.StatefulUniformInt: Factory method to create a class wrapping a new StatefulUniformInt operation.
create(Scope, Operand, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.RebatchDatasetV2: Factory method to create a class wrapping a new RebatchDatasetV2 operation.
create(Scope, Operand, Operand, Operand, List, List, BatchDataset.Options...) - Static method in class org.tensorflow.op.data.BatchDataset: Factory method to create a class wrapping a new BatchDatasetV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.RngSkip: Factory method to create a class wrapping a new RngSkip operation.
create(Scope, Operand, Operand, Operand, Iterable, Long, List, List, List, List) - Static method in class org.tensorflow.op.data.ChooseFastestBranchDataset: Factory method to create a class wrapping a new ChooseFastestBranchDataset operation.
create(Scope, Operand, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.DenseToSparseBatchDataset: Factory method to create a class wrapping a new DenseToSparseBatchDataset operation.
create(Scope, Operand, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset: Factory method to create a class wrapping a new ExperimentalDenseToSparseBatchDataset operation.
create(Scope, Operand, Operand, Operand, List, List, AutoShardDataset.Options...) - Static method in class org.tensorflow.op.data.AutoShardDataset: Factory method to create a class wrapping a new AutoShardDataset operation.
create(Scope, Operand, Operand, Operand, List, List, AutoShardDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.AutoShardDataset: Factory method to create a class wrapping a new ExperimentalAutoShardDataset operation.
create(Scope, Operand, Operand, Operand, List, List, ShardDataset.Options...) - Static method in class org.tensorflow.op.data.ShardDataset: Factory method to create a class wrapping a new ShardDataset operation.
create(Scope, Operand, Operand, Operand, Operand, List, List, GlobalShuffleDataset.Options...) - Static method in class org.tensorflow.op.data.GlobalShuffleDataset: Factory method to create a class wrapping a new GlobalShuffleDataset operation.
create(Scope, Operand, Operand, Operand, Operand, List, List, ParallelBatchDataset.Options...) - Static method in class org.tensorflow.op.data.ParallelBatchDataset: Factory method to create a class wrapping a new ParallelBatchDataset operation.
create(Scope, Operand, Operand, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.SlidingWindowDataset: Factory method to create a class wrapping a new ExperimentalSlidingWindowDataset operation.
create(Scope, Operand, Operand, Operand, Operand, List, List, SlidingWindowDataset.Options...) - Static method in class org.tensorflow.op.data.SlidingWindowDataset: Factory method to create a class wrapping a new SlidingWindowDataset operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, List, List, ShuffleDataset.Options...) - Static method in class org.tensorflow.op.data.ShuffleDataset: Factory method to create a class wrapping a new ShuffleDatasetV3 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, List, List, WindowDataset.Options...) - Static method in class org.tensorflow.op.data.WindowDataset: Factory method to create a class wrapping a new WindowDataset operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, List, List, ShuffleAndRepeatDataset.Options...) - Static method in class org.tensorflow.op.data.ShuffleAndRepeatDataset: Factory method to create a class wrapping a new ShuffleAndRepeatDatasetV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.summary.WriteGraphSummary: Factory method to create a class wrapping a new WriteGraphSummary operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.summary.WriteRawProtoSummary: Factory method to create a class wrapping a new WriteRawProtoSummary operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.summary.WriteScalarSummary: Factory method to create a class wrapping a new WriteScalarSummary operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, WriteImageSummary.Options...) - Static method in class org.tensorflow.op.summary.WriteImageSummary: Factory method to create a class wrapping a new WriteImageSummary operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.summary.WriteHistogramSummary: Factory method to create a class wrapping a new WriteHistogramSummary operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, WriteAudioSummary.Options...) - Static method in class org.tensorflow.op.summary.WriteAudioSummary: Factory method to create a class wrapping a new WriteAudioSummary operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.Fingerprint: Factory method to create a class wrapping a new Fingerprint operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.io.ReaderRestoreState: Factory method to create a class wrapping a new ReaderRestoreStateV2 operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.summary.ImportEvent: Factory method to create a class wrapping a new ImportEvent operation.
create(Scope, Operand, Operand, Iterable, Iterable, List, List, ConcreteFunction, ConcreteFunction, SnapshotDataset.Options...) - Static method in class org.tensorflow.op.data.SnapshotDataset: Factory method to create a class wrapping a new SnapshotDatasetV2 operation.
create(Scope, Operand, Operand, Iterable, ConcreteFunction, List, List, SaveDataset.Options...) - Static method in class org.tensorflow.op.data.SaveDataset: Factory method to create a class wrapping a new SaveDatasetV2 operation.
create(Scope, Operand, Operand, Long, Long, InitializeTableFromTextFile.Options...) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile: Factory method to create a class wrapping a new InitializeTableFromTextFileV2 operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.AssertNextDataset: Factory method to create a class wrapping a new AssertNextDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.AssertPrevDataset: Factory method to create a class wrapping a new AssertPrevDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.BytesProducedStatsDataset: Factory method to create a class wrapping a new BytesProducedStatsDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.AssertNextDataset: Factory method to create a class wrapping a new ExperimentalAssertNextDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset: Factory method to create a class wrapping a new ExperimentalBytesProducedStatsDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.LatencyStatsDataset: Factory method to create a class wrapping a new ExperimentalLatencyStatsDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.LatencyStatsDataset: Factory method to create a class wrapping a new LatencyStatsDataset operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.RewriteDataset: Factory method to create a class wrapping a new RewriteDataset operation.
create(Scope, Operand, Operand, Operand, List, List, CacheDataset.Options...) - Static method in class org.tensorflow.op.data.CacheDataset: Factory method to create a class wrapping a new CacheDatasetV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.summary.CreateSummaryFileWriter: Factory method to create a class wrapping a new CreateSummaryFileWriter operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.data.DatasetToTfRecord: Factory method to create a class wrapping a new DatasetToTFRecord operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.data.experimental.DatasetToTFRecord: Factory method to create a class wrapping a new ExperimentalDatasetToTFRecord operation.
create(Scope, Operand, Operand, Operand, Long, RegisterDataset.Options...) - Static method in class org.tensorflow.op.data.RegisterDataset: Factory method to create a class wrapping a new RegisterDatasetV2 operation.
create(Scope, Operand, Operand, Operand, DistributedSave.Options...) - Static method in class org.tensorflow.op.train.DistributedSave: Factory method to create a class wrapping a new DistributedSave operation.
create(Scope, Operand, Operand, Operand, Operand, List, List, OptimizeDataset.Options...) - Static method in class org.tensorflow.op.data.OptimizeDataset: Factory method to create a class wrapping a new OptimizeDatasetV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.summary.CreateSummaryDbWriter: Factory method to create a class wrapping a new CreateSummaryDbWriter operation.
create(Scope, Operand, Operand, StackPush.Options...) - Static method in class org.tensorflow.op.core.StackPush: Factory method to create a class wrapping a new StackPushV2 operation.
create(Scope, Operand, Operand, SparseMatrixMatMul.Options...) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Factory method to create a class wrapping a new SparseMatrixMatMul operation.
create(Scope, Operand, Operand, Operand, ResourceApplyGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyGradientDescent: Factory method to create a class wrapping a new ResourceApplyGradientDescent operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, ResourceStridedSliceAssign.Options...) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Factory method to create a class wrapping a new ResourceStridedSliceAssign operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, ResourceApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent: Factory method to create a class wrapping a new ResourceApplyProximalGradientDescent operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent: Factory method to create a class wrapping a new ResourceSparseApplyProximalGradientDescent operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.LoopCond: Factory method to create a class wrapping a new LoopCond operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.LogicalNot: Factory method to create a class wrapping a new LogicalNot operation.
create(Scope, Operand, Iterable, AssertThat.Options...) - Static method in class org.tensorflow.op.core.AssertThat: Factory method to create a class wrapping a new Assert operation.
create(Scope, Operand, Operand, All.Options...) - Static method in class org.tensorflow.op.core.All: Factory method to create a class wrapping a new All operation.
create(Scope, Operand, Operand, Any.Options...) - Static method in class org.tensorflow.op.core.Any: Factory method to create a class wrapping a new Any operation.
create(Scope, Operand, Operand, ReduceAll.Options...) - Static method in class org.tensorflow.op.core.ReduceAll: Factory method to create a class wrapping a new All operation.
create(Scope, Operand, Operand, ReduceAny.Options...) - Static method in class org.tensorflow.op.core.ReduceAny: Factory method to create a class wrapping a new Any operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.LogicalAnd: Factory method to create a class wrapping a new LogicalAnd operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.LogicalOr: Factory method to create a class wrapping a new LogicalOr operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.Select: Factory method to create a class wrapping a new SelectV2 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.MakeUnique: Factory method to create a class wrapping a new MakeUnique operation.
create(Scope, Operand, Long) - Static method in class org.tensorflow.op.core.KthOrderStatistic: Factory method to create a class wrapping a new KthOrderStatistic operation.
create(Scope, Operand, Long) - Static method in class org.tensorflow.op.core.TopKUnique: Factory method to create a class wrapping a new TopKUnique operation.
create(Scope, Operand, Long) - Static method in class org.tensorflow.op.core.TopKWithUnique: Factory method to create a class wrapping a new TopKWithUnique operation.
create(Scope, Operand, Long, Long, AudioSpectrogram.Options...) - Static method in class org.tensorflow.op.audio.AudioSpectrogram: Factory method to create a class wrapping a new AudioSpectrogram operation.
create(Scope, Operand, Long, Long, LoadTPUEmbeddingStochasticGradientDescentParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingStochasticGradientDescentParameters operation.
create(Scope, Operand, FakeQuantWithMinMaxArgs.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Factory method to create a class wrapping a new FakeQuantWithMinMaxArgs operation.
create(Scope, Operand, Operand, Operand, Operand, CropAndResizeGradBoxes.Options...) - Static method in class org.tensorflow.op.image.CropAndResizeGradBoxes: Factory method to create a class wrapping a new CropAndResizeGradBoxes operation.
create(Scope, Operand, Operand, Long, Long) - Static method in class org.tensorflow.op.tpu.EmbeddingActivations: Factory method to create a class wrapping a new TPUEmbeddingActivations operation.
create(Scope, Operand, Operand, Long, Long) - Static method in class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.

Factory method to create a class wrapping a new TPUEmbeddingActivations operation.
create(Scope, Operand, Operand, Long, Long, LoadTPUEmbeddingAdagradParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingAdagradParameters operation.
create(Scope, Operand, Operand, Long, Long, LoadTPUEmbeddingFrequencyEstimatorParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingFrequencyEstimatorParameters operation.
create(Scope, Operand, Operand, Long, Long, LoadTPUEmbeddingMomentumParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingMomentumParameters operation.
create(Scope, Operand, Operand, Long, Long, LoadTPUEmbeddingProximalAdagradParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingProximalAdagradParameters operation.
create(Scope, Operand, Operand, FakeQuantWithMinMaxArgsGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Factory method to create a class wrapping a new FakeQuantWithMinMaxArgsGradient operation.
create(Scope, Operand, Operand, Operand, Class, Quantize.Options...) - Static method in class org.tensorflow.op.quantization.Quantize: Factory method to create a class wrapping a new QuantizeV2 operation.
create(Scope, Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingAdadeltaParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingAdadeltaParameters operation.
create(Scope, Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingAdagradMomentumParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingAdagradMomentumParameters operation.
create(Scope, Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingADAMParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingADAMParameters operation.
create(Scope, Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingFTRLParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingFTRLParameters operation.
create(Scope, Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingProximalYogiParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingProximalYogiParameters operation.
create(Scope, Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingRMSPropParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingRMSPropParameters operation.
create(Scope, Operand, Operand, Operand, FakeQuantWithMinMaxVars.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: Factory method to create a class wrapping a new FakeQuantWithMinMaxVars operation.
create(Scope, Operand, Operand, Operand, FakeQuantWithMinMaxVarsPerChannel.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsPerChannel operation.
create(Scope, Operand, Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingCenteredRMSPropParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingCenteredRMSPropParameters operation.
create(Scope, Operand, Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingMDLAdagradLightParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingMDLAdagradLightParameters operation.
create(Scope, Operand, Operand, Operand, Operand, FakeQuantWithMinMaxVarsGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsGradient operation.
create(Scope, Operand, Operand, Operand, Operand, FakeQuantWithMinMaxVarsPerChannelGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsPerChannelGradient operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, GenerateBoundingBoxProposals.Options...) - Static method in class org.tensorflow.op.image.GenerateBoundingBoxProposals: Factory method to create a class wrapping a new GenerateBoundingBoxProposals operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Long, Boolean, Float) - Static method in class org.tensorflow.op.xla.XlaSparseCoreFtrl: Factory method to create a class wrapping a new XlaSparseCoreFtrl operation.
create(Scope, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps: Factory method to create a class wrapping a new NonMaxSuppressionWithOverlaps operation.
create(Scope, Operand, Operand, Operand, Operand, Class, CropAndResizeGradImage.Options...) - Static method in class org.tensorflow.op.image.CropAndResizeGradImage: Factory method to create a class wrapping a new CropAndResizeGradImage operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, List, Long) - Static method in class org.tensorflow.op.train.NegTrain: Factory method to create a class wrapping a new NegTrain operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, CombinedNonMaxSuppression.Options...) - Static method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Factory method to create a class wrapping a new CombinedNonMaxSuppression operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.image.NearestNeighbors: Factory method to create a class wrapping a new NearestNeighbors operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.audio.EncodeWav: Factory method to create a class wrapping a new EncodeWav operation.
create(Scope, Operand, Operand, Mfcc.Options...) - Static method in class org.tensorflow.op.audio.Mfcc: Factory method to create a class wrapping a new Mfcc operation.
create(Scope, Operand, Operand, Operand, ExtractGlimpse.Options...) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Factory method to create a class wrapping a new ExtractGlimpseV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Long, Boolean) - Static method in class org.tensorflow.op.xla.XlaSparseCoreAdam: Factory method to create a class wrapping a new XlaSparseCoreAdam operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.cluster.KMC2ChainInitialization: Factory method to create a class wrapping a new KMC2ChainInitialization operation.
create(Scope, Operand, Operand, Operand, Operand, CTCLossV2.Options...) - Static method in class org.tensorflow.op.nn.CTCLossV2: Factory method to create a class wrapping a new CTCLossV2 operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization: Factory method to create a class wrapping a new KmeansPlusPlusInitialization operation.
create(Scope, Operand, Operand, ResizeBicubicGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeBicubicGrad: Factory method to create a class wrapping a new ResizeBicubicGrad operation.
create(Scope, Operand, Operand, ResizeBilinearGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeBilinearGrad: Factory method to create a class wrapping a new ResizeBilinearGrad operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.nn.InTopK: Factory method to create a class wrapping a new InTopKV2 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.strings.UnicodeScript: Factory method to create a class wrapping a new UnicodeScript operation.
create(Scope, Operand, Class, Shape) - Static method in class org.tensorflow.op.tpu.OutfeedDequeueV2: Factory method to create a class wrapping a new OutfeedDequeueV2 operation.
create(Scope, Operand, Class, Empty.Options...) - Static method in class org.tensorflow.op.core.Empty: Factory method to create a class wrapping a new Empty operation.
create(Scope, Operand, Class, StackCreate.Options...) - Static method in class org.tensorflow.op.core.StackCreate: Factory method to create a class wrapping a new StackV2 operation.
create(Scope, Operand, Class, TensorArray.Options...) - Static method in class org.tensorflow.op.core.TensorArray: Factory method to create a class wrapping a new TensorArrayV3 operation.
create(Scope, Operand, Iterable, List, List, Case.Options...) - Static method in interface org.tensorflow.op.core.Case: Factory method to create a class wrapping a new Case operation.
create(Scope, Operand, Iterable, List, List, Case.Options...) - Static method in class org.tensorflow.op.core.StatefulCase: Factory method to create a class wrapping a new Case operation.
create(Scope, Operand, Iterable, List, List, Case.Options...) - Static method in class org.tensorflow.op.core.StatelessCase: Factory method to create a class wrapping a new StatelessCase operation.
create(Scope, Operand, Iterable, List, String, EncodeProto.Options...) - Static method in class org.tensorflow.op.core.EncodeProto: Factory method to create a class wrapping a new EncodeProto operation.
create(Scope, Operand, Iterable) - Static method in class org.tensorflow.op.core.ConcatOffset: Factory method to create a class wrapping a new ConcatOffset operation.
create(Scope, Operand, Iterable) - Static method in class org.tensorflow.op.core.RefSelect: Factory method to create a class wrapping a new RefSelect operation.
create(Scope, Operand, Iterable, Iterable, Iterable) - Static method in class org.tensorflow.op.quantization.QuantizedConcat: Factory method to create a class wrapping a new QuantizedConcat operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2: Factory method to create a class wrapping a new OutfeedDequeueTupleV2 operation.
create(Scope, Operand, List, MapUnstageNoKey.Options...) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Factory method to create a class wrapping a new MapUnstageNoKey operation.
create(Scope, Operand, List, OrderedMapUnstageNoKey.Options...) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Factory method to create a class wrapping a new OrderedMapUnstageNoKey operation.
create(Scope, Operand, List, StagePeek.Options...) - Static method in class org.tensorflow.op.core.StagePeek: Factory method to create a class wrapping a new StagePeek operation.
create(Scope, Operand, Operand, String, UnicodeEncode.Options...) - Static method in class org.tensorflow.op.strings.UnicodeEncode: Factory method to create a class wrapping a new UnicodeEncode operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Long, Long, Long) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmul: Factory method to create a class wrapping a new XlaSparseDenseMatmul operation.
create(Scope, Operand, Operand, Operand, Operand, Long) - Static method in class org.tensorflow.op.xla.XlaSparseCoreSgd: Factory method to create a class wrapping a new XlaSparseCoreSgd operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Long) - Static method in class org.tensorflow.op.xla.XlaSparseCoreAdagrad: Factory method to create a class wrapping a new XlaSparseCoreAdagrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Long, Boolean, Float, Float) - Static method in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum: Factory method to create a class wrapping a new XlaSparseCoreAdagradMomentum operation.
create(Scope, Operand, Operand, Operand, Long, Long, Long, Long, Long, Long, Long, String) - Static method in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors: Factory method to create a class wrapping a new ConvertToListOfSparseCoreCooTensors operation.
create(Scope, Operand, Operand, Operand, Long, String) - Static method in class org.tensorflow.op.tpu.ConvertToCooTensor: Factory method to create a class wrapping a new ConvertToCooTensor operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.collective.CollectiveAssignGroup: Factory method to create a class wrapping a new CollectiveAssignGroupV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.math.SobolSample: Factory method to create a class wrapping a new SobolSample operation, with the default output types.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.math.SobolSample: Factory method to create a class wrapping a new SobolSample operation.
create(Scope, Operand, Operand, Operand, Class, Class, CudnnRnnParamsSize.Options...) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Factory method to create a class wrapping a new CudnnRNNParamsSize operation.
create(Scope, Operand, Operand, Operand, Iterable, ConcreteFunction) - Static method in class org.tensorflow.op.core.For: Factory method to create a class wrapping a new For operation.
create(Scope, Operand, Operand, Operand, Iterable, Iterable, CudnnRNNCanonicalToParams.Options...) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Factory method to create a class wrapping a new CudnnRNNCanonicalToParamsV2 operation.
create(Scope, Operand, Operand, Operand, CollectiveInitializeCommunicator.Options...) - Static method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: Factory method to create a class wrapping a new CollectiveInitializeCommunicator operation.
create(Scope, Operand, Operand, Operand, Operand, Class, CollectiveBcastRecv.Options...) - Static method in class org.tensorflow.op.collective.CollectiveBcastRecv: Factory method to create a class wrapping a new CollectiveBcastRecvV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Iterable, Iterable, Operand, ConcreteFunction, String) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithCsrInput operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean, Float, Float, Float, Float, Long, Long, String, XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean, Float, Float, Float, Float, Long, Long, String, XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean, Float, Float, Float, Float, String, XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean, Float, Float, Float, Float, String, XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithFtrlAndCsrInput operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean, Float, Float, Float, Long, Long, String, XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean, Float, Float, Float, String, XlaSparseDenseMatmulGradWithAdamAndCsrInput.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithAdamAndCsrInput operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Long, Long, String, XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, String, XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithAdagradAndCsrInput operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Long, Long, String, XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, String, XlaSparseDenseMatmulGradWithSgdAndCsrInput.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithSgdAndCsrInput operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Long, Float, Float, Long, Long, Long, String) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize: Factory method to create a class wrapping a new XlaSparseDenseMatmulWithStaticBufferSize operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Long, Float, Float, Long, String) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulWithCsrInput operation.
create(Scope, Operand, Operand, Operand, Operand, Long, Long, CudnnRNNParamsToCanonical.Options...) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Factory method to create a class wrapping a new CudnnRNNParamsToCanonicalV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.math.Bincount: Factory method to create a class wrapping a new Bincount operation.
create(Scope, Operand, Operand, Long) - Static method in class org.tensorflow.op.core.Split: Factory method to create a class wrapping a new Split operation.
create(Scope, Operand, Operand, List, List, String, AvgPool3dGrad.Options...) - Static method in class org.tensorflow.op.nn.AvgPool3dGrad: Factory method to create a class wrapping a new AvgPool3DGrad operation.
create(Scope, Operand, Operand, List, List, String, AvgPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.AvgPoolGrad: Factory method to create a class wrapping a new AvgPoolGrad operation.
create(Scope, Operand, Operand, Operand, List, String, Conv2dBackpropInput.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Factory method to create a class wrapping a new Conv2DBackpropInput operation.
create(Scope, Operand, Operand, Operand, List, String, DepthwiseConv2dNativeBackpropInput.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Factory method to create a class wrapping a new DepthwiseConv2dNativeBackpropInput operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.tpu.TpuHandleToProtoKey: Factory method to create a class wrapping a new TpuHandleToProtoKey operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros: Factory method to create a class wrapping a new SparseMatrixZeros operation.
create(Scope, Operand, Class, TakeManySparseFromTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Factory method to create a class wrapping a new TakeManySparseFromTensorsMap operation.
create(Scope, Operand, Long, Long, Boolean, Long, FixedUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Factory method to create a class wrapping a new FixedUnigramCandidateSampler operation.
create(Scope, Operand, Long, Long, Boolean, Long, LearnedUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Factory method to create a class wrapping a new LearnedUnigramCandidateSampler operation.
create(Scope, Operand, Long, Long, Boolean, Long, LogUniformCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler: Factory method to create a class wrapping a new LogUniformCandidateSampler operation.
create(Scope, Operand, Long, Long, Boolean, Long, ThreadUnsafeUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: Factory method to create a class wrapping a new ThreadUnsafeUnigramCandidateSampler operation.
create(Scope, Operand, Long, Long, Boolean, Long, UniformCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.UniformCandidateSampler: Factory method to create a class wrapping a new UniformCandidateSampler operation.
create(Scope, Operand, Long, Long, Boolean, AllCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.AllCandidateSampler: Factory method to create a class wrapping a new AllCandidateSampler operation.
create(Scope, Operand, Operand, Operand, Operand, Boolean, SparseCountSparseOutput.Options...) - Static method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Factory method to create a class wrapping a new SparseCountSparseOutput operation.
create(Scope, Operand, Operand, Operand, Boolean, RaggedCountSparseOutput.Options...) - Static method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Factory method to create a class wrapping a new RaggedCountSparseOutput operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.data.SparseTensorSliceDataset: Factory method to create a class wrapping a new SparseTensorSliceDataset operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.io.SerializeManySparse: Factory method to create a class wrapping a new SerializeManySparse operation, with the default output types.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.io.SerializeSparse: Factory method to create a class wrapping a new SerializeSparse operation, with the default output types.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix: Factory method to create a class wrapping a new SparseTensorToCSRSparseMatrix operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.io.SerializeManySparse: Factory method to create a class wrapping a new SerializeManySparse operation.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.io.SerializeSparse: Factory method to create a class wrapping a new SerializeSparse operation.
create(Scope, Operand, Operand, Operand, SetSize.Options...) - Static method in class org.tensorflow.op.core.SetSize: Factory method to create a class wrapping a new SetSize operation.
create(Scope, Operand, Operand, Operand, AddManySparseToTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: Factory method to create a class wrapping a new AddManySparseToTensorsMap operation.
create(Scope, Operand, Operand, Operand, AddSparseToTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.AddSparseToTensorsMap: Factory method to create a class wrapping a new AddSparseToTensorsMap operation.
create(Scope, Operand, Operand, Iterable, List, MapStage.Options...) - Static method in class org.tensorflow.op.core.MapStage: Factory method to create a class wrapping a new MapStage operation.
create(Scope, Operand, Operand, Iterable, List, OrderedMapStage.Options...) - Static method in class org.tensorflow.op.core.OrderedMapStage: Factory method to create a class wrapping a new OrderedMapStage operation.
create(Scope, Operand, Operand, List, MapPeek.Options...) - Static method in class org.tensorflow.op.core.MapPeek: Factory method to create a class wrapping a new MapPeek operation.
create(Scope, Operand, Operand, List, MapUnstage.Options...) - Static method in class org.tensorflow.op.core.MapUnstage: Factory method to create a class wrapping a new MapUnstage operation.
create(Scope, Operand, Operand, List, OrderedMapPeek.Options...) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Factory method to create a class wrapping a new OrderedMapPeek operation.
create(Scope, Operand, Operand, List, OrderedMapUnstage.Options...) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Factory method to create a class wrapping a new OrderedMapUnstage operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.random.AnonymousRandomSeedGenerator: Factory method to create a class wrapping a new AnonymousRandomSeedGenerator operation.
create(Scope, Operand, Operand, Long, ComputeAccidentalHits.Options...) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits: Factory method to create a class wrapping a new ComputeAccidentalHits operation.
create(Scope, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.RandomDataset: Factory method to create a class wrapping a new ExperimentalRandomDataset operation.
create(Scope, Operand, Operand, Operand, List, List, RandomDataset.Options...) - Static method in class org.tensorflow.op.data.RandomDataset: Factory method to create a class wrapping a new RandomDatasetV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.AnonymousSeedGenerator: Factory method to create a class wrapping a new AnonymousSeedGenerator operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseReshape: Factory method to create a class wrapping a new SparseReshape operation.
create(Scope, Operand, Operand, Operand, List, List, RangeDataset.Options...) - Static method in class org.tensorflow.op.data.RangeDataset: Factory method to create a class wrapping a new RangeDataset operation.
create(Scope, Operand, Operand, Operand, Operand, Long) - Static method in class org.tensorflow.op.sparse.SparseSplit: Factory method to create a class wrapping a new SparseSplit operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad: Factory method to create a class wrapping a new RaggedFillEmptyRowsGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad: Factory method to create a class wrapping a new SparseFillEmptyRowsGrad operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseReorder: Factory method to create a class wrapping a new SparseReorder operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseSoftmax: Factory method to create a class wrapping a new SparseSoftmax operation.
create(Scope, Operand, Operand, Operand, Operand, SparseReduceMax.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceMax: Factory method to create a class wrapping a new SparseReduceMax operation.
create(Scope, Operand, Operand, Operand, Operand, SparseReduceMaxSparse.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Factory method to create a class wrapping a new SparseReduceMaxSparse operation.
create(Scope, Operand, Operand, Operand, Operand, SparseReduceSum.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceSum: Factory method to create a class wrapping a new SparseReduceSum operation.
create(Scope, Operand, Operand, Operand, Operand, SparseReduceSumSparse.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Factory method to create a class wrapping a new SparseReduceSumSparse operation.
create(Scope, Operand, Operand, Operand, Operand, FractionalAvgPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.FractionalAvgPoolGrad: Factory method to create a class wrapping a new FractionalAvgPoolGrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseSlice: Factory method to create a class wrapping a new SparseSlice operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseSparseMaximum: Factory method to create a class wrapping a new SparseSparseMaximum operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseSparseMinimum: Factory method to create a class wrapping a new SparseSparseMinimum operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, String, SparseToSparseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Factory method to create a class wrapping a new SparseToSparseSetOperation operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, EditDistance.Options...) - Static method in class org.tensorflow.op.core.EditDistance: Factory method to create a class wrapping a new EditDistance operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseAdd: Factory method to create a class wrapping a new SparseAdd operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.ragged.RaggedFillEmptyRows: Factory method to create a class wrapping a new RaggedFillEmptyRows operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseDenseCwiseAdd: Factory method to create a class wrapping a new SparseDenseCwiseAdd operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseDenseCwiseDiv: Factory method to create a class wrapping a new SparseDenseCwiseDiv operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseDenseCwiseMul: Factory method to create a class wrapping a new SparseDenseCwiseMul operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Factory method to create a class wrapping a new SparseFillEmptyRows operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, SparseBincount.Options...) - Static method in class org.tensorflow.op.sparse.SparseBincount: Factory method to create a class wrapping a new SparseBincount operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, BlockLSTM.Options...) - Static method in class org.tensorflow.op.nn.BlockLSTM: Factory method to create a class wrapping a new BlockLSTMV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean) - Static method in class org.tensorflow.op.nn.BlockLSTMGrad: Factory method to create a class wrapping a new BlockLSTMGradV2 operation.
create(Scope, Operand, Operand, Operand, Operand, RaggedBincount.Options...) - Static method in class org.tensorflow.op.ragged.RaggedBincount: Factory method to create a class wrapping a new RaggedBincount operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.BarrierIncompleteSize: Factory method to create a class wrapping a new BarrierIncompleteSize operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.BarrierReadySize: Factory method to create a class wrapping a new BarrierReadySize operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.DeleteSessionTensor: Factory method to create a class wrapping a new DeleteSessionTensor operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.DatasetFromGraph: Factory method to create a class wrapping a new DatasetFromGraph operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.experimental.MatchingFilesDataset: Factory method to create a class wrapping a new ExperimentalMatchingFilesDataset operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.data.MatchingFilesDataset: Factory method to create a class wrapping a new MatchingFilesDataset operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.image.DecodeGif: Factory method to create a class wrapping a new DecodeGif operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.image.ExtractJpegShape: Factory method to create a class wrapping a new ExtractJpegShape operation, with the default output types.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.DecodeBase64: Factory method to create a class wrapping a new DecodeBase64 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.DecodeJsonExample: Factory method to create a class wrapping a new DecodeJSONExample operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.MatchingFiles: Factory method to create a class wrapping a new MatchingFiles operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.io.ReadFile: Factory method to create a class wrapping a new ReadFile operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.strings.Strip: Factory method to create a class wrapping a new StringStrip operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.strings.ToNumber: Factory method to create a class wrapping a new StringToNumber operation, with the default output types.
create(Scope, Operand) - Static method in class org.tensorflow.op.tpu.CompileSucceededAssert: Factory method to create a class wrapping a new TPUCompileSucceededAssert operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory: Factory method to create a class wrapping a new ConfigureTPUEmbeddingMemory operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.tpu.WorkerHeartbeat: Factory method to create a class wrapping a new WorkerHeartbeat operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.train.AccumulatorNumAccumulated: Factory method to create a class wrapping a new AccumulatorNumAccumulated operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.train.SdcaFprint: Factory method to create a class wrapping a new SdcaFprint operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.core.GetSessionTensor: Factory method to create a class wrapping a new GetSessionTensor operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.image.ExtractJpegShape: Factory method to create a class wrapping a new ExtractJpegShape operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.io.DeserializeManySparse: Factory method to create a class wrapping a new DeserializeManySparse operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.io.ParseTensor: Factory method to create a class wrapping a new ParseTensor operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.strings.ToNumber: Factory method to create a class wrapping a new StringToNumber operation.
create(Scope, Operand, Class, DecodeImage.Options...) - Static method in class org.tensorflow.op.image.DecodeImage: Factory method to create a class wrapping a new DecodeImage operation.
create(Scope, Operand, Class, DecodePng.Options...) - Static method in class org.tensorflow.op.image.DecodePng: Factory method to create a class wrapping a new DecodePng operation.
create(Scope, Operand, Class, DecodeRaw.Options...) - Static method in class org.tensorflow.op.io.DecodeRaw: Factory method to create a class wrapping a new DecodeRaw operation.
create(Scope, Operand, Iterable, Long, List, List, List, List) - Static method in class org.tensorflow.op.io.ParseSingleExample: Factory method to create a class wrapping a new ParseSingleExample operation.
create(Scope, Operand, Iterable, List, List, ConcreteFunction, LoadDataset.Options...) - Static method in class org.tensorflow.op.data.LoadDataset: Factory method to create a class wrapping a new LoadDataset operation.
create(Scope, Operand, Iterable, List, ConcreteFunction) - Static method in class org.tensorflow.op.core.RemoteCall: Factory method to create a class wrapping a new RemoteCall operation.
create(Scope, Operand, Iterable, DecodeCsv.Options...) - Static method in class org.tensorflow.op.io.DecodeCsv: Factory method to create a class wrapping a new DecodeCSV operation.
create(Scope, Operand, Long) - Static method in class org.tensorflow.op.strings.ToHashBucket: Factory method to create a class wrapping a new StringToHashBucket operation.
create(Scope, Operand, Long) - Static method in class org.tensorflow.op.strings.ToHashBucketFast: Factory method to create a class wrapping a new StringToHashBucketFast operation.
create(Scope, Operand, Long, List) - Static method in class org.tensorflow.op.strings.ToHashBucketStrong: Factory method to create a class wrapping a new StringToHashBucketStrong operation.
create(Scope, Operand, String) - Static method in class org.tensorflow.op.strings.StaticRegexFullMatch: Factory method to create a class wrapping a new StaticRegexFullMatch operation.
create(Scope, Operand, String, Class, UnicodeDecode.Options...) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Factory method to create a class wrapping a new UnicodeDecode operation.
create(Scope, Operand, String, Class, UnicodeDecodeWithOffsets.Options...) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Factory method to create a class wrapping a new UnicodeDecodeWithOffsets operation.
create(Scope, Operand, String, String, StaticRegexReplace.Options...) - Static method in class org.tensorflow.op.strings.StaticRegexReplace: Factory method to create a class wrapping a new StaticRegexReplace operation.
create(Scope, Operand, String, String, UnicodeTranscode.Options...) - Static method in class org.tensorflow.op.strings.UnicodeTranscode: Factory method to create a class wrapping a new UnicodeTranscode operation.
create(Scope, Operand, String, List, List, DecodeProto.Options...) - Static method in class org.tensorflow.op.core.DecodeProto: Factory method to create a class wrapping a new DecodeProtoV2 operation.
create(Scope, Operand, String, UnicodeDecode.Options[]) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Factory method to create a class wrapping a new UnicodeDecode operation, with the default output types.
create(Scope, Operand, String, UnicodeDecodeWithOffsets.Options[]) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Factory method to create a class wrapping a new UnicodeDecodeWithOffsets operation, with the default output types.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.LmdbDataset: Factory method to create a class wrapping a new ExperimentalLMDBDataset operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.ListSnapshotChunksDataset: Factory method to create a class wrapping a new ListSnapshotChunksDataset operation.
create(Scope, Operand, List, List) - Static method in class org.tensorflow.op.data.LMDBDataset: Factory method to create a class wrapping a new LMDBDataset operation.
create(Scope, Operand, List, List, SnapshotChunkDataset.Options...) - Static method in class org.tensorflow.op.data.SnapshotChunkDataset: Factory method to create a class wrapping a new SnapshotChunkDataset operation.
create(Scope, Operand, List, IteratorFromStringHandle.Options...) - Static method in class org.tensorflow.op.data.IteratorFromStringHandle: Factory method to create a class wrapping a new IteratorFromStringHandleV2 operation.
create(Scope, Operand, List, MultiDeviceIteratorFromStringHandle.Options...) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: Factory method to create a class wrapping a new MultiDeviceIteratorFromStringHandle operation.
create(Scope, Operand, DecodeWav.Options...) - Static method in class org.tensorflow.op.audio.DecodeWav: Factory method to create a class wrapping a new DecodeWav operation.
create(Scope, Operand, BarrierClose.Options...) - Static method in class org.tensorflow.op.core.BarrierClose: Factory method to create a class wrapping a new BarrierClose operation.
create(Scope, Operand, Print.Options...) - Static method in class org.tensorflow.op.core.Print: Factory method to create a class wrapping a new PrintV2 operation.
create(Scope, Operand, DecodeBmp.Options...) - Static method in class org.tensorflow.op.image.DecodeBmp: Factory method to create a class wrapping a new DecodeBmp operation.
create(Scope, Operand, DecodeImage.Options[]) - Static method in class org.tensorflow.op.image.DecodeImage: Factory method to create a class wrapping a new DecodeImage operation, with the default output types.
create(Scope, Operand, DecodeJpeg.Options...) - Static method in class org.tensorflow.op.image.DecodeJpeg: Factory method to create a class wrapping a new DecodeJpeg operation.
create(Scope, Operand, DecodePng.Options[]) - Static method in class org.tensorflow.op.image.DecodePng: Factory method to create a class wrapping a new DecodePng operation, with the default output types.
create(Scope, Operand, DecodeCompressed.Options...) - Static method in class org.tensorflow.op.io.DecodeCompressed: Factory method to create a class wrapping a new DecodeCompressed operation.
create(Scope, Operand, EncodeBase64.Options...) - Static method in class org.tensorflow.op.io.EncodeBase64: Factory method to create a class wrapping a new EncodeBase64 operation.
create(Scope, Operand, Lower.Options...) - Static method in class org.tensorflow.op.strings.Lower: Factory method to create a class wrapping a new StringLower operation.
create(Scope, Operand, StringLength.Options...) - Static method in class org.tensorflow.op.strings.StringLength: Factory method to create a class wrapping a new StringLength operation.
create(Scope, Operand, Upper.Options...) - Static method in class org.tensorflow.op.strings.Upper: Factory method to create a class wrapping a new StringUpper operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.summary.HistogramSummary: Factory method to create a class wrapping a new HistogramSummary operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.summary.ScalarSummary: Factory method to create a class wrapping a new ScalarSummary operation.
create(Scope, Operand, Operand, ImageSummary.Options...) - Static method in class org.tensorflow.op.summary.ImageSummary: Factory method to create a class wrapping a new ImageSummary operation.
create(Scope, Operand, Operand, Operand, UnsortedSegmentJoin.Options...) - Static method in class org.tensorflow.op.strings.UnsortedSegmentJoin: Factory method to create a class wrapping a new UnsortedSegmentJoin operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.TensorArrayUnpack: Factory method to create a class wrapping a new TensorArrayUnpack operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.summary.TensorSummary: Factory method to create a class wrapping a new TensorSummaryV2 operation.
create(Scope, Operand, Operand, Class, TensorArrayPack.Options...) - Static method in class org.tensorflow.op.core.TensorArrayPack: Factory method to create a class wrapping a new TensorArrayPack operation.
create(Scope, Operand, Operand, Operand, AudioSummary.Options...) - Static method in class org.tensorflow.op.summary.AudioSummary: Factory method to create a class wrapping a new AudioSummaryV2 operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.io.ShardedFilespec: Factory method to create a class wrapping a new ShardedFilespec operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: Factory method to create a class wrapping a new SparseAccumulatorTakeGradient operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.train.AccumulatorTakeGradient: Factory method to create a class wrapping a new AccumulatorTakeGradient operation.
create(Scope, Operand, Operand, Class, DecodePaddedRaw.Options...) - Static method in class org.tensorflow.op.io.DecodePaddedRaw: Factory method to create a class wrapping a new DecodePaddedRaw operation.
create(Scope, Operand, Operand, List, BarrierTakeMany.Options...) - Static method in class org.tensorflow.op.core.BarrierTakeMany: Factory method to create a class wrapping a new BarrierTakeMany operation.
create(Scope, Operand, Operand, DecodeAndCropJpeg.Options...) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Factory method to create a class wrapping a new DecodeAndCropJpeg operation.
create(Scope, Operand, Operand, ReduceJoin.Options...) - Static method in class org.tensorflow.op.strings.ReduceJoin: Factory method to create a class wrapping a new ReduceJoin operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.io.ShardedFilename: Factory method to create a class wrapping a new ShardedFilename operation.
create(Scope, Operand, Operand, Operand, Long, Long, Long, Long, String, String) - Static method in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo: Factory method to create a class wrapping a new StoreMinibatchStatisticsInFdo operation.
create(Scope, Operand, Operand, Operand, Operand, Long, Long, Long, Long, Long, String, String) - Static method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Factory method to create a class wrapping a new GetMinibatchSplitsWithPhysicalReplica operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Long, Long, Long, Long, Long, Long, Long, String, String) - Static method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Factory method to create a class wrapping a new GetMinibatchesInCsrWithPhysicalReplica operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.train.AccumulatorSetGlobalStep: Factory method to create a class wrapping a new AccumulatorSetGlobalStep operation.
create(Scope, Operand, Operand, List, List, Long, SnapshotDatasetReader.Options...) - Static method in class org.tensorflow.op.data.SnapshotDatasetReader: Factory method to create a class wrapping a new SnapshotDatasetReader operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.train.AccumulatorApplyGradient: Factory method to create a class wrapping a new AccumulatorApplyGradient operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Boolean) - Static method in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient: Factory method to create a class wrapping a new SparseAccumulatorApplyGradient operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, FixedLengthRecordDataset.Options...) - Static method in class org.tensorflow.op.data.FixedLengthRecordDataset: Factory method to create a class wrapping a new FixedLengthRecordDatasetV2 operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.io.WriteFile: Factory method to create a class wrapping a new WriteFile operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.strings.RegexFullMatch: Factory method to create a class wrapping a new RegexFullMatch operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.tpu.FinalizeTPUEmbedding: Factory method to create a class wrapping a new FinalizeTPUEmbeddingV2 operation.
create(Scope, Operand, Operand, Iterable, Iterable, Iterable, Iterable, Iterable, Operand, List, List, List, ParseSingleSequenceExample.Options...) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Factory method to create a class wrapping a new ParseSingleSequenceExample operation.
create(Scope, Operand, Operand, Long, Long, GenerateVocabRemapping.Options...) - Static method in class org.tensorflow.op.train.GenerateVocabRemapping: Factory method to create a class wrapping a new GenerateVocabRemapping operation.
create(Scope, Operand, Operand, String) - Static method in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost: Factory method to create a class wrapping a new ConfigureTPUEmbeddingHost operation.
create(Scope, Operand, Operand, StringSplit.Options...) - Static method in class org.tensorflow.op.strings.StringSplit: Factory method to create a class wrapping a new StringSplitV2 operation.
create(Scope, Operand, Operand, MergeV2Checkpoints.Options...) - Static method in class org.tensorflow.op.train.MergeV2Checkpoints: Factory method to create a class wrapping a new MergeV2Checkpoints operation.
create(Scope, Operand, Operand, Operand, Long) - Static method in class org.tensorflow.op.core.BarrierInsertMany: Factory method to create a class wrapping a new BarrierInsertMany operation.
create(Scope, Operand, Operand, Operand, TextLineDataset.Options...) - Static method in class org.tensorflow.op.data.TextLineDataset: Factory method to create a class wrapping a new TextLineDataset operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Iterable, List) - Static method in class org.tensorflow.op.data.experimental.CSVDataset: Factory method to create a class wrapping a new ExperimentalCSVDataset operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Iterable, Operand, List) - Static method in class org.tensorflow.op.data.CSVDataset: Factory method to create a class wrapping a new CSVDatasetV2 operation.
create(Scope, Operand, Operand, Operand, Operand, TfRecordDataset.Options...) - Static method in class org.tensorflow.op.data.TfRecordDataset: Factory method to create a class wrapping a new TFRecordDatasetV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Long, Long, LoadAndRemapMatrix.Options...) - Static method in class org.tensorflow.op.linalg.LoadAndRemapMatrix: Factory method to create a class wrapping a new LoadAndRemapMatrix operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.FileSystemSetConfiguration: Factory method to create a class wrapping a new FileSystemSetConfiguration operation.
create(Scope, Operand, Operand, Operand, Class, RestoreSlice.Options...) - Static method in class org.tensorflow.op.train.RestoreSlice: Factory method to create a class wrapping a new RestoreSlice operation.
create(Scope, Operand, Operand, Operand, Iterable) - Static method in class org.tensorflow.op.train.Save: Factory method to create a class wrapping a new SaveV2 operation.
create(Scope, Operand, Operand, Operand, Iterable) - Static method in class org.tensorflow.op.train.SaveSlices: Factory method to create a class wrapping a new SaveSlices operation.
create(Scope, Operand, Operand, Operand, List) - Static method in class org.tensorflow.op.train.Restore: Factory method to create a class wrapping a new RestoreV2 operation.
create(Scope, Operand, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.experimental.SqlDataset: Factory method to create a class wrapping a new ExperimentalSqlDataset operation.
create(Scope, Operand, Operand, Operand, List, List) - Static method in class org.tensorflow.op.data.SqlDataset: Factory method to create a class wrapping a new SqlDataset operation.
create(Scope, Operand, Operand, Operand, List, List, List) - Static method in class org.tensorflow.op.tpu.DTensorRestore: Factory method to create a class wrapping a new DTensorRestoreV2 operation.
create(Scope, Operand, Operand, Operand, RegexReplace.Options...) - Static method in class org.tensorflow.op.strings.RegexReplace: Factory method to create a class wrapping a new RegexReplace operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Iterable, Long, List, List, List, List) - Static method in class org.tensorflow.op.io.ParseExample: Factory method to create a class wrapping a new ParseExampleV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, List, List, ConcreteFunction, DataServiceDataset.Options...) - Static method in class org.tensorflow.op.data.DataServiceDataset: Factory method to create a class wrapping a new DataServiceDatasetV4 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Iterable, List, List, List, List, List, List, List, ParseSequenceExample.Options...) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Factory method to create a class wrapping a new ParseSequenceExampleV2 operation.
create(Scope, Operand, Operand, String, List, String, String, Long, Boolean) - Static method in class org.tensorflow.op.strings.StringNGrams: Factory method to create a class wrapping a new StringNGrams operation.
create(Scope, Operand, Operand, Operand, Substr.Options...) - Static method in class org.tensorflow.op.strings.Substr: Factory method to create a class wrapping a new Substr operation.
create(Scope, Operand, EncodeJpeg.Options...) - Static method in class org.tensorflow.op.image.EncodeJpeg: Factory method to create a class wrapping a new EncodeJpeg operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.image.EncodeJpegVariableQuality: Factory method to create a class wrapping a new EncodeJpegVariableQuality operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.bitwise.Invert: Factory method to create a class wrapping a new Invert operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.CheckPinned: Factory method to create a class wrapping a new CheckPinned operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.DeepCopy: Factory method to create a class wrapping a new DeepCopy operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.Exit: Factory method to create a class wrapping a new Exit operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.GuaranteeConst: Factory method to create a class wrapping a new GuaranteeConst operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.Identity: Factory method to create a class wrapping a new Identity operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.NextIteration: Factory method to create a class wrapping a new NextIteration operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.OnesLike: Factory method to create a class wrapping a new OnesLike operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.RefExit: Factory method to create a class wrapping a new RefExit operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.RefIdentity: Factory method to create a class wrapping a new RefIdentity operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.RefNextIteration: Factory method to create a class wrapping a new RefNextIteration operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.Snapshot: Factory method to create a class wrapping a new Snapshot operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.StopGradient: Factory method to create a class wrapping a new StopGradient operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.core.ZerosLike: Factory method to create a class wrapping a new ZerosLike operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.debugging.DebugGradientIdentity: Factory method to create a class wrapping a new DebugGradientIdentity operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.debugging.DebugGradientRefIdentity: Factory method to create a class wrapping a new DebugGradientRefIdentity operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.image.HsvToRgb: Factory method to create a class wrapping a new HSVToRGB operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.image.RgbToHsv: Factory method to create a class wrapping a new RGBToHSV operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.BatchCholesky: Factory method to create a class wrapping a new BatchCholesky operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.BatchMatrixDeterminant: Factory method to create a class wrapping a new BatchMatrixDeterminant operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.BatchMatrixDiag: Factory method to create a class wrapping a new BatchMatrixDiag operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.BatchMatrixDiagPart: Factory method to create a class wrapping a new BatchMatrixDiagPart operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.Cholesky: Factory method to create a class wrapping a new Cholesky operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.Det: Factory method to create a class wrapping a new MatrixDeterminant operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.LogMatrixDeterminant: Factory method to create a class wrapping a new LogMatrixDeterminant operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.Lu: Factory method to create a class wrapping a new Lu operation, with the default output types.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.MatrixExponential: Factory method to create a class wrapping a new MatrixExponential operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.MatrixLogarithm: Factory method to create a class wrapping a new MatrixLogarithm operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.Sqrtm: Factory method to create a class wrapping a new MatrixSquareRoot operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.TensorDiag: Factory method to create a class wrapping a new Diag operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.linalg.TensorDiagPart: Factory method to create a class wrapping a new DiagPart operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Abs: Factory method to create a class wrapping a new Abs operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Acos: Factory method to create a class wrapping a new Acos operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Acosh: Factory method to create a class wrapping a new Acosh operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Asin: Factory method to create a class wrapping a new Asin operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Asinh: Factory method to create a class wrapping a new Asinh operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Atan: Factory method to create a class wrapping a new Atan operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Atanh: Factory method to create a class wrapping a new Atanh operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.BesselI0: Factory method to create a class wrapping a new BesselI0 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.BesselI0e: Factory method to create a class wrapping a new BesselI0e operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.BesselI1: Factory method to create a class wrapping a new BesselI1 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.BesselI1e: Factory method to create a class wrapping a new BesselI1e operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Ceil: Factory method to create a class wrapping a new Ceil operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Conj: Factory method to create a class wrapping a new Conj operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Cos: Factory method to create a class wrapping a new Cos operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Cosh: Factory method to create a class wrapping a new Cosh operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Digamma: Factory method to create a class wrapping a new Digamma operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Erf: Factory method to create a class wrapping a new Erf operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Erfc: Factory method to create a class wrapping a new Erfc operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.erfinv: Factory method to create a class wrapping a new Erfinv operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Exp: Factory method to create a class wrapping a new Exp operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Expm1: Factory method to create a class wrapping a new Expm1 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Floor: Factory method to create a class wrapping a new Floor operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.InvertPermutation: Factory method to create a class wrapping a new InvertPermutation operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Lgamma: Factory method to create a class wrapping a new Lgamma operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Log: Factory method to create a class wrapping a new Log operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Log1p: Factory method to create a class wrapping a new Log1p operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Ndtri: Factory method to create a class wrapping a new Ndtri operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Neg: Factory method to create a class wrapping a new Neg operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Reciprocal: Factory method to create a class wrapping a new Reciprocal operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Rint: Factory method to create a class wrapping a new Rint operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Round: Factory method to create a class wrapping a new Round operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Rsqrt: Factory method to create a class wrapping a new Rsqrt operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Sigmoid: Factory method to create a class wrapping a new Sigmoid operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Sign: Factory method to create a class wrapping a new Sign operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Sin: Factory method to create a class wrapping a new Sin operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Sinh: Factory method to create a class wrapping a new Sinh operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Softplus: Factory method to create a class wrapping a new Softplus operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.BesselJ0: Factory method to create a class wrapping a new BesselJ0 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.BesselJ1: Factory method to create a class wrapping a new BesselJ1 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.BesselK0: Factory method to create a class wrapping a new BesselK0 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.BesselK0e: Factory method to create a class wrapping a new BesselK0e operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.BesselK1: Factory method to create a class wrapping a new BesselK1 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.BesselK1e: Factory method to create a class wrapping a new BesselK1e operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.BesselY0: Factory method to create a class wrapping a new BesselY0 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.BesselY1: Factory method to create a class wrapping a new BesselY1 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.Dawsn: Factory method to create a class wrapping a new Dawsn operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.Expint: Factory method to create a class wrapping a new Expint operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.FresnelCos: Factory method to create a class wrapping a new FresnelCos operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.FresnelSin: Factory method to create a class wrapping a new FresnelSin operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.special.Spence: Factory method to create a class wrapping a new Spence operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Sqrt: Factory method to create a class wrapping a new Sqrt operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Square: Factory method to create a class wrapping a new Square operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Tan: Factory method to create a class wrapping a new Tan operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.math.Tanh: Factory method to create a class wrapping a new Tanh operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.nn.Elu: Factory method to create a class wrapping a new Elu operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.nn.L2Loss: Factory method to create a class wrapping a new L2Loss operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.nn.LogSoftmax: Factory method to create a class wrapping a new LogSoftmax operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.nn.Relu: Factory method to create a class wrapping a new Relu operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.nn.Relu6: Factory method to create a class wrapping a new Relu6 operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.nn.Selu: Factory method to create a class wrapping a new Selu operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.nn.Softmax: Factory method to create a class wrapping a new Softmax operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.nn.Softsign: Factory method to create a class wrapping a new Softsign operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.signal.Fft: Factory method to create a class wrapping a new FFT operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.signal.Fft2d: Factory method to create a class wrapping a new FFT2D operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.signal.Fft3d: Factory method to create a class wrapping a new FFT3D operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.signal.Ifft: Factory method to create a class wrapping a new IFFT operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.signal.Ifft2d: Factory method to create a class wrapping a new IFFT2D operation.
create(Scope, Operand) - Static method in class org.tensorflow.op.signal.Ifft3d: Factory method to create a class wrapping a new IFFT3D operation.
create(Scope, Operand, Class) - Static method in class org.tensorflow.op.linalg.Lu: Factory method to create a class wrapping a new Lu operation.
create(Scope, Operand, Long) - Static method in class org.tensorflow.op.core.CountUpTo: Factory method to create a class wrapping a new CountUpTo operation.
create(Scope, Operand, Long) - Static method in class org.tensorflow.op.tpu.ReplicatedOutput: Factory method to create a class wrapping a new TPUReplicatedOutput operation.
create(Scope, Operand, Long) - Static method in class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.

Factory method to create a class wrapping a new TPUReplicatedOutput operation.
create(Scope, Operand, Long, List) - Static method in class org.tensorflow.op.tpu.PartitionedOutput: Factory method to create a class wrapping a new TPUPartitionedOutputV2 operation.
create(Scope, Operand, Long, List, SplitND.Options...) - Static method in class org.tensorflow.op.xla.SplitND: Factory method to create a class wrapping a new XlaSplitND operation.
create(Scope, Operand, Long, ApproxTopK.Options...) - Static method in class org.tensorflow.op.core.ApproxTopK: Factory method to create a class wrapping a new ApproxTopK operation.
create(Scope, Operand, Long, Unstack.Options...) - Static method in class org.tensorflow.op.core.Unstack: Factory method to create a class wrapping a new Unpack operation.
create(Scope, Operand, Long, DepthToSpace.Options...) - Static method in class org.tensorflow.op.nn.DepthToSpace: Factory method to create a class wrapping a new DepthToSpace operation.
create(Scope, Operand, Long, SpaceToDepth.Options...) - Static method in class org.tensorflow.op.nn.SpaceToDepth: Factory method to create a class wrapping a new SpaceToDepth operation.
create(Scope, Operand, String) - Static method in class org.tensorflow.op.core.CopyToMesh: Factory method to create a class wrapping a new CopyToMesh operation.
create(Scope, Operand, String) - Static method in class org.tensorflow.op.core.DestroyTemporaryVariable: Factory method to create a class wrapping a new DestroyTemporaryVariable operation.
create(Scope, Operand, String) - Static method in class org.tensorflow.op.core.Relayout: Factory method to create a class wrapping a new Relayout operation.
create(Scope, Operand, String) - Static method in class org.tensorflow.op.debugging.CheckNumerics: Factory method to create a class wrapping a new CheckNumericsV2 operation.
create(Scope, Operand, String, Long, String) - Static method in class org.tensorflow.op.core.NcclAllReduce: Deprecated.

Factory method to create a class wrapping a new NcclAllReduce operation.
create(Scope, Operand, String, Long, String) - Static method in class org.tensorflow.op.distribute.NcclAllReduce: Factory method to create a class wrapping a new NcclAllReduce operation.
create(Scope, Operand, String, Enter.Options...) - Static method in class org.tensorflow.op.core.Enter: Factory method to create a class wrapping a new Enter operation.
create(Scope, Operand, String, RefEnter.Options...) - Static method in class org.tensorflow.op.core.RefEnter: Factory method to create a class wrapping a new RefEnter operation.
create(Scope, Operand, List, FractionalAvgPool.Options...) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Factory method to create a class wrapping a new FractionalAvgPool operation.
create(Scope, Operand, List, FractionalMaxPool.Options...) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Factory method to create a class wrapping a new FractionalMaxPool operation.
create(Scope, Operand, List, List, Class, String, MaxPoolWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Factory method to create a class wrapping a new MaxPoolWithArgmax operation.
create(Scope, Operand, List, List, String) - Static method in class org.tensorflow.op.core.ExtractVolumePatches: Factory method to create a class wrapping a new ExtractVolumePatches operation.
create(Scope, Operand, List, List, String, AvgPool.Options...) - Static method in class org.tensorflow.op.nn.AvgPool: Factory method to create a class wrapping a new AvgPool operation.
create(Scope, Operand, List, List, String, AvgPool3d.Options...) - Static method in class org.tensorflow.op.nn.AvgPool3d: Factory method to create a class wrapping a new AvgPool3D operation.
create(Scope, Operand, List, List, String, MaxPool3d.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3d: Factory method to create a class wrapping a new MaxPool3D operation.
create(Scope, Operand, List, List, String, MaxPoolWithArgmax.Options[]) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Factory method to create a class wrapping a new MaxPoolWithArgmax operation, with the default output types.
create(Scope, Operand, List, List, List, String) - Static method in class org.tensorflow.op.image.ExtractImagePatches: Factory method to create a class wrapping a new ExtractImagePatches operation.
create(Scope, Operand, Shape) - Static method in class org.tensorflow.op.core.EnsureShape: Factory method to create a class wrapping a new EnsureShape operation.
create(Scope, Operand, Shape) - Static method in class org.tensorflow.op.core.NcclBroadcast: Deprecated.

Factory method to create a class wrapping a new NcclBroadcast operation.
create(Scope, Operand, Shape) - Static method in class org.tensorflow.op.core.PlaceholderWithDefault: Factory method to create a class wrapping a new PlaceholderWithDefault operation.
create(Scope, Operand, Shape) - Static method in class org.tensorflow.op.distribute.NcclBroadcast: Factory method to create a class wrapping a new NcclBroadcast operation.
create(Scope, Operand, Copy.Options...) - Static method in class org.tensorflow.op.core.Copy: Factory method to create a class wrapping a new Copy operation.
create(Scope, Operand, CopyHost.Options...) - Static method in class org.tensorflow.op.core.CopyHost: Factory method to create a class wrapping a new CopyHost operation.
create(Scope, Operand, Squeeze.Options...) - Static method in class org.tensorflow.op.core.Squeeze: Factory method to create a class wrapping a new Squeeze operation.
create(Scope, Operand, DebugIdentity.Options...) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Factory method to create a class wrapping a new DebugIdentityV3 operation.
create(Scope, Operand, BatchMatrixInverse.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixInverse: Factory method to create a class wrapping a new BatchMatrixInverse operation.
create(Scope, Operand, BatchSelfAdjointEig.Options...) - Static method in class org.tensorflow.op.linalg.BatchSelfAdjointEig: Factory method to create a class wrapping a new BatchSelfAdjointEigV2 operation.
create(Scope, Operand, BatchSvd.Options...) - Static method in class org.tensorflow.op.linalg.BatchSvd: Factory method to create a class wrapping a new BatchSvd operation.
create(Scope, Operand, Inv.Options...) - Static method in class org.tensorflow.op.linalg.Inv: Factory method to create a class wrapping a new MatrixInverse operation.
create(Scope, Operand, Qr.Options...) - Static method in class org.tensorflow.op.linalg.Qr: Factory method to create a class wrapping a new Qr operation.
create(Scope, Operand, SelfAdjointEig.Options...) - Static method in class org.tensorflow.op.linalg.SelfAdjointEig: Factory method to create a class wrapping a new SelfAdjointEigV2 operation.
create(Scope, Operand, Svd.Options...) - Static method in class org.tensorflow.op.linalg.Svd: Factory method to create a class wrapping a new Svd operation.
create(Scope, Operand, BiasAddGrad.Options...) - Static method in class org.tensorflow.op.nn.BiasAddGrad: Factory method to create a class wrapping a new BiasAddGrad operation.
create(Scope, Operand, DataFormatDimMap.Options...) - Static method in class org.tensorflow.op.nn.DataFormatDimMap: Factory method to create a class wrapping a new DataFormatDimMap operation.
create(Scope, Operand, DataFormatVecPermute.Options...) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute: Factory method to create a class wrapping a new DataFormatVecPermute operation.
create(Scope, Operand, LeakyRelu.Options...) - Static method in class org.tensorflow.op.nn.LeakyRelu: Factory method to create a class wrapping a new LeakyRelu operation.
create(Scope, Operand, LocalResponseNormalization.Options...) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Factory method to create a class wrapping a new LRN operation.
create(Scope, Operand, RandomShuffle.Options...) - Static method in class org.tensorflow.op.random.RandomShuffle: Factory method to create a class wrapping a new RandomShuffle operation.
create(Scope, Operand, PreventGradient.Options...) - Static method in class org.tensorflow.op.train.PreventGradient: Factory method to create a class wrapping a new PreventGradient operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.BroadcastTo: Factory method to create a class wrapping a new BroadcastTo operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.ExpandDims: Factory method to create a class wrapping a new ExpandDims operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.Reshape: Factory method to create a class wrapping a new Reshape operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.Reverse: Factory method to create a class wrapping a new ReverseV2 operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.Tile: Factory method to create a class wrapping a new Tile operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.Unique: Factory method to create a class wrapping a new UniqueV2 operation, with the default output types.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.UniqueWithCounts: Factory method to create a class wrapping a new UniqueWithCountsV2 operation, with the default output types.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.linalg.ConjugateTranspose: Factory method to create a class wrapping a new ConjugateTranspose operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.linalg.Transpose: Factory method to create a class wrapping a new Transpose operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.SegmentMean: Factory method to create a class wrapping a new SegmentMean operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits: Factory method to create a class wrapping a new SparseSoftmaxCrossEntropyWithLogits operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.Unique: Factory method to create a class wrapping a new UniqueV2 operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.UniqueWithCounts: Factory method to create a class wrapping a new UniqueWithCountsV2 operation.
create(Scope, Operand, Operand, Class, TopK.Options...) - Static method in class org.tensorflow.op.nn.TopK: Factory method to create a class wrapping a new TopKV2 operation.
create(Scope, Operand, Operand, Long) - Static method in class org.tensorflow.op.core.BatchToSpace: Factory method to create a class wrapping a new BatchToSpace operation.
create(Scope, Operand, Operand, Long) - Static method in class org.tensorflow.op.nn.SpaceToBatch: Factory method to create a class wrapping a new SpaceToBatch operation.
create(Scope, Operand, Operand, Long, ReverseSequence.Options...) - Static method in class org.tensorflow.op.core.ReverseSequence: Factory method to create a class wrapping a new ReverseSequence operation.
create(Scope, Operand, Operand, String) - Static method in class org.tensorflow.op.core.MirrorPad: Factory method to create a class wrapping a new MirrorPad operation.
create(Scope, Operand, Operand, String) - Static method in class org.tensorflow.op.core.MirrorPadGrad: Factory method to create a class wrapping a new MirrorPadGrad operation.
create(Scope, Operand, Operand, GatherNd.Options...) - Static method in class org.tensorflow.op.core.GatherNd: Factory method to create a class wrapping a new GatherNd operation.
create(Scope, Operand, Operand, Max.Options...) - Static method in class org.tensorflow.op.core.Max: Factory method to create a class wrapping a new Max operation.
create(Scope, Operand, Operand, Min.Options...) - Static method in class org.tensorflow.op.core.Min: Factory method to create a class wrapping a new Min operation.
create(Scope, Operand, Operand, Prod.Options...) - Static method in class org.tensorflow.op.core.Prod: Factory method to create a class wrapping a new Prod operation.
create(Scope, Operand, Operand, ReduceMax.Options...) - Static method in class org.tensorflow.op.core.ReduceMax: Factory method to create a class wrapping a new Max operation.
create(Scope, Operand, Operand, ReduceMin.Options...) - Static method in class org.tensorflow.op.core.ReduceMin: Factory method to create a class wrapping a new Min operation.
create(Scope, Operand, Operand, ReduceProd.Options...) - Static method in class org.tensorflow.op.core.ReduceProd: Factory method to create a class wrapping a new Prod operation.
create(Scope, Operand, Operand, ReduceSum.Options...) - Static method in class org.tensorflow.op.core.ReduceSum: Factory method to create a class wrapping a new Sum operation.
create(Scope, Operand, Operand, Sum.Options...) - Static method in class org.tensorflow.op.core.Sum: Factory method to create a class wrapping a new Sum operation.
create(Scope, Operand, Operand, EuclideanNorm.Options...) - Static method in class org.tensorflow.op.linalg.EuclideanNorm: Factory method to create a class wrapping a new EuclideanNorm operation.
create(Scope, Operand, Operand, Cumprod.Options...) - Static method in class org.tensorflow.op.math.Cumprod: Factory method to create a class wrapping a new Cumprod operation.
create(Scope, Operand, Operand, Cumsum.Options...) - Static method in class org.tensorflow.op.math.Cumsum: Factory method to create a class wrapping a new Cumsum operation.
create(Scope, Operand, Operand, CumulativeLogsumexp.Options...) - Static method in class org.tensorflow.op.math.CumulativeLogsumexp: Factory method to create a class wrapping a new CumulativeLogsumexp operation.
create(Scope, Operand, Operand, Mean.Options...) - Static method in class org.tensorflow.op.math.Mean: Factory method to create a class wrapping a new Mean operation.
create(Scope, Operand, Operand, TopK.Options[]) - Static method in class org.tensorflow.op.nn.TopK: Factory method to create a class wrapping a new TopKV2 operation, with the default output types.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.BatchToSpaceNd: Factory method to create a class wrapping a new BatchToSpaceND operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.Roll: Factory method to create a class wrapping a new Roll operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.SpaceToBatchNd: Factory method to create a class wrapping a new SpaceToBatchND operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.math.SegmentMax: Factory method to create a class wrapping a new SegmentMaxV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.math.SegmentMin: Factory method to create a class wrapping a new SegmentMinV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.math.SegmentProd: Factory method to create a class wrapping a new SegmentProdV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.math.SegmentSum: Factory method to create a class wrapping a new SegmentSumV2 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.math.UnsortedSegmentMax: Factory method to create a class wrapping a new UnsortedSegmentMax operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.math.UnsortedSegmentMin: Factory method to create a class wrapping a new UnsortedSegmentMin operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.math.UnsortedSegmentProd: Factory method to create a class wrapping a new UnsortedSegmentProd operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.math.UnsortedSegmentSum: Factory method to create a class wrapping a new UnsortedSegmentSum operation.
create(Scope, Operand, Operand, Operand, Gather.Options...) - Static method in class org.tensorflow.op.core.Gather: Factory method to create a class wrapping a new GatherV2 operation.
create(Scope, Operand, Operand, Operand, SparseSegmentMean.Options...) - Static method in class org.tensorflow.op.sparse.SparseSegmentMean: Factory method to create a class wrapping a new SparseSegmentMean operation.
create(Scope, Operand, Operand, Operand, SparseSegmentSqrtN.Options...) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtN: Factory method to create a class wrapping a new SparseSegmentSqrtN operation.
create(Scope, Operand, Operand, Operand, SparseSegmentSum.Options...) - Static method in class org.tensorflow.op.sparse.SparseSegmentSum: Factory method to create a class wrapping a new SparseSegmentSum operation.
create(Scope, Operand, Operand, Operand, Operand, SparseSegmentMeanWithNumSegments.Options...) - Static method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments: Factory method to create a class wrapping a new SparseSegmentMeanWithNumSegments operation.
create(Scope, Operand, Operand, Operand, Operand, SparseSegmentSqrtNWithNumSegments.Options...) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments: Factory method to create a class wrapping a new SparseSegmentSqrtNWithNumSegments operation.
create(Scope, Operand, Operand, Operand, Operand, SparseSegmentSumWithNumSegments.Options...) - Static method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments: Factory method to create a class wrapping a new SparseSegmentSumWithNumSegments operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.QuantizedReshape: Factory method to create a class wrapping a new QuantizedReshape operation.
create(Scope, Operand, Operand, Operand, Long) - Static method in class org.tensorflow.op.core.SplitV: Factory method to create a class wrapping a new SplitV operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.Pad: Factory method to create a class wrapping a new PadV2 operation.
create(Scope, Operand, Operand, Operand, RandomIndexShuffle.Options...) - Static method in class org.tensorflow.op.core.RandomIndexShuffle: Factory method to create a class wrapping a new RandomIndexShuffle operation.
create(Scope, Operand, Operand, Operand, ScatterAdd.Options...) - Static method in class org.tensorflow.op.core.ScatterAdd: Factory method to create a class wrapping a new ScatterAdd operation.
create(Scope, Operand, Operand, Operand, ScatterDiv.Options...) - Static method in class org.tensorflow.op.core.ScatterDiv: Factory method to create a class wrapping a new ScatterDiv operation.
create(Scope, Operand, Operand, Operand, ScatterMax.Options...) - Static method in class org.tensorflow.op.core.ScatterMax: Factory method to create a class wrapping a new ScatterMax operation.
create(Scope, Operand, Operand, Operand, ScatterMin.Options...) - Static method in class org.tensorflow.op.core.ScatterMin: Factory method to create a class wrapping a new ScatterMin operation.
create(Scope, Operand, Operand, Operand, ScatterMul.Options...) - Static method in class org.tensorflow.op.core.ScatterMul: Factory method to create a class wrapping a new ScatterMul operation.
create(Scope, Operand, Operand, Operand, ScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.ScatterNdAdd: Factory method to create a class wrapping a new ScatterNdAdd operation.
create(Scope, Operand, Operand, Operand, ScatterNdMax.Options...) - Static method in class org.tensorflow.op.core.ScatterNdMax: Factory method to create a class wrapping a new ScatterNdMax operation.
create(Scope, Operand, Operand, Operand, ScatterNdMin.Options...) - Static method in class org.tensorflow.op.core.ScatterNdMin: Factory method to create a class wrapping a new ScatterNdMin operation.
create(Scope, Operand, Operand, Operand, ScatterNdNonAliasingAdd.Options...) - Static method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd: Factory method to create a class wrapping a new ScatterNdNonAliasingAdd operation.
create(Scope, Operand, Operand, Operand, ScatterNdSub.Options...) - Static method in class org.tensorflow.op.core.ScatterNdSub: Factory method to create a class wrapping a new ScatterNdSub operation.
create(Scope, Operand, Operand, Operand, ScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.ScatterNdUpdate: Factory method to create a class wrapping a new ScatterNdUpdate operation.
create(Scope, Operand, Operand, Operand, ScatterSub.Options...) - Static method in class org.tensorflow.op.core.ScatterSub: Factory method to create a class wrapping a new ScatterSub operation.
create(Scope, Operand, Operand, Operand, ScatterUpdate.Options...) - Static method in class org.tensorflow.op.core.ScatterUpdate: Factory method to create a class wrapping a new ScatterUpdate operation.
create(Scope, Operand, Operand, Operand, TensorScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.TensorScatterNdAdd: Factory method to create a class wrapping a new TensorScatterAdd operation.
create(Scope, Operand, Operand, Operand, TensorScatterNdMax.Options...) - Static method in class org.tensorflow.op.core.TensorScatterNdMax: Factory method to create a class wrapping a new TensorScatterMax operation.
create(Scope, Operand, Operand, Operand, TensorScatterNdMin.Options...) - Static method in class org.tensorflow.op.core.TensorScatterNdMin: Factory method to create a class wrapping a new TensorScatterMin operation.
create(Scope, Operand, Operand, Operand, TensorScatterNdSub.Options...) - Static method in class org.tensorflow.op.core.TensorScatterNdSub: Factory method to create a class wrapping a new TensorScatterSub operation.
create(Scope, Operand, Operand, Operand, TensorScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.TensorScatterNdUpdate: Factory method to create a class wrapping a new TensorScatterUpdate operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.RelayoutLike: Factory method to create a class wrapping a new RelayoutLike operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.random.experimental.StatelessShuffle: Factory method to create a class wrapping a new StatelessShuffle operation.
create(Scope, Operand, Operand, Operand, String, CollectiveReduce.Options...) - Static method in class org.tensorflow.op.collective.CollectiveReduce: Factory method to create a class wrapping a new CollectiveReduceV3 operation.
create(Scope, Operand, Operand, Operand, CollectiveAllToAll.Options...) - Static method in class org.tensorflow.op.collective.CollectiveAllToAll: Factory method to create a class wrapping a new CollectiveAllToAllV3 operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.RefSwitch: Factory method to create a class wrapping a new RefSwitch operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.SwitchCond: Factory method to create a class wrapping a new Switch operation.
create(Scope, Operand, Operand, BooleanMask.Options...) - Static method in class org.tensorflow.op.core.BooleanMask: Apply boolean mask to tensor.
create(Scope, Operand, Operand, Operand, BooleanMaskUpdate.Options...) - Static method in class org.tensorflow.op.core.BooleanMaskUpdate: Updates a tensor at the masked values, and returns the updated tensor.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.image.AdjustContrast: Factory method to create a class wrapping a new AdjustContrastv2 operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.image.AdjustHue: Factory method to create a class wrapping a new AdjustHue operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.image.AdjustSaturation: Factory method to create a class wrapping a new AdjustSaturation operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.image.DrawBoundingBoxes: Factory method to create a class wrapping a new DrawBoundingBoxesV2 operation.
create(Scope, Operand, Operand, Operand, List, List, String) - Static method in class org.tensorflow.op.nn.QuantizedAvgPool: Factory method to create a class wrapping a new QuantizedAvgPool operation.
create(Scope, Operand, Operand, Operand, List, List, String) - Static method in class org.tensorflow.op.nn.QuantizedMaxPool: Factory method to create a class wrapping a new QuantizedMaxPool operation.
create(Scope, Operand, Operand, Operand, SampleDistortedBoundingBox.Options...) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Factory method to create a class wrapping a new SampleDistortedBoundingBoxV2 operation.
create(Scope, Operand, Operand, Operand, QuantizedInstanceNorm.Options...) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Factory method to create a class wrapping a new QuantizedInstanceNorm operation.
create(Scope, Operand, Operand, Operand, Operand, StatelessSampleDistortedBoundingBox.Options...) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Factory method to create a class wrapping a new StatelessSampleDistortedBoundingBox operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, Float, Boolean) - Static method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: Factory method to create a class wrapping a new QuantizedBatchNormWithGlobalNormalization operation.
create(Scope, Operand, Operand, Operand, String, ImageProjectiveTransformV2.Options...) - Static method in class org.tensorflow.op.image.ImageProjectiveTransformV2: Factory method to create a class wrapping a new ImageProjectiveTransformV2 operation.
create(Scope, Operand, Operand, Operand, Operand, String, ImageProjectiveTransformV3.Options...) - Static method in class org.tensorflow.op.image.ImageProjectiveTransformV3: Factory method to create a class wrapping a new ImageProjectiveTransformV3 operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.collective.CollectivePermute: Factory method to create a class wrapping a new CollectivePermute operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.tpu.CrossReplicaSum: Factory method to create a class wrapping a new CrossReplicaSum operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.train.TileGrad: Factory method to create a class wrapping a new TileGrad operation.
create(Scope, Operand, Operand, Long) - Static method in class org.tensorflow.op.core.DynamicPartition: Factory method to create a class wrapping a new DynamicPartition operation.
create(Scope, Operand, Operand, Long, Long, Long) - Static method in class org.tensorflow.op.tpu.AllToAll: Factory method to create a class wrapping a new AllToAll operation.
create(Scope, Operand, Operand, Long, Long, CtcBeamSearchDecoder.Options...) - Static method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Factory method to create a class wrapping a new CTCBeamSearchDecoder operation.
create(Scope, Operand, Operand, ResizeNearestNeighbor.Options...) - Static method in class org.tensorflow.op.image.ResizeNearestNeighbor: Factory method to create a class wrapping a new ResizeNearestNeighbor operation.
create(Scope, Operand, Operand, ResizeNearestNeighborGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeNearestNeighborGrad: Factory method to create a class wrapping a new ResizeNearestNeighborGrad operation.
create(Scope, Operand, Operand, CtcGreedyDecoder.Options...) - Static method in class org.tensorflow.op.nn.CtcGreedyDecoder: Factory method to create a class wrapping a new CTCGreedyDecoder operation.
create(Scope, Operand, Operand, NthElement.Options...) - Static method in class org.tensorflow.op.nn.NthElement: Factory method to create a class wrapping a new NthElement operation.
create(Scope, Operand, Operand, Operand, Operand, QuantizedResizeBilinear.Options...) - Static method in class org.tensorflow.op.image.QuantizedResizeBilinear: Factory method to create a class wrapping a new QuantizedResizeBilinear operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.signal.FftNd: Factory method to create a class wrapping a new FFTND operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.signal.IfftNd: Factory method to create a class wrapping a new IFFTND operation.
create(Scope, Operand, Operand, Operand, String, MaxPool.Options...) - Static method in class org.tensorflow.op.nn.MaxPool: Factory method to create a class wrapping a new MaxPoolV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Iterable, String, String, CollectiveReduceScatter.Options...) - Static method in class org.tensorflow.op.collective.CollectiveReduceScatter: Factory method to create a class wrapping a new CollectiveReduceScatterV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Iterable, CollectiveGather.Options...) - Static method in class org.tensorflow.op.collective.CollectiveGather: Factory method to create a class wrapping a new CollectiveGatherV2 operation.
create(Scope, Operand, Operand, Operand, Operand, CollectiveBcastSend.Options...) - Static method in class org.tensorflow.op.collective.CollectiveBcastSend: Factory method to create a class wrapping a new CollectiveBcastSendV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.linalg.MatrixDiag: Factory method to create a class wrapping a new MatrixDiagV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, MatrixDiagV3.Options...) - Static method in class org.tensorflow.op.linalg.MatrixDiagV3: Factory method to create a class wrapping a new MatrixDiagV3 operation.
create(Scope, Operand, Operand, Operand, Operand, String, List, String, FusedResizeAndPadConv2d.Options...) - Static method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d: Factory method to create a class wrapping a new FusedResizeAndPadConv2D operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.InplaceAdd: Factory method to create a class wrapping a new InplaceAdd operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.InplaceSub: Factory method to create a class wrapping a new InplaceSub operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.InplaceUpdate: Factory method to create a class wrapping a new InplaceUpdate operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.linalg.MatrixDiagPart: Factory method to create a class wrapping a new MatrixDiagPartV2 operation.
create(Scope, Operand, Operand, Operand, String, List, String) - Static method in class org.tensorflow.op.nn.FusedPadConv2d: Factory method to create a class wrapping a new FusedPadConv2D operation.
create(Scope, Operand, Operand, Operand, List, String, Conv2dBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Factory method to create a class wrapping a new Conv2DBackpropFilter operation.
create(Scope, Operand, Operand, Operand, List, String, Conv3dBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Factory method to create a class wrapping a new Conv3DBackpropFilterV2 operation.
create(Scope, Operand, Operand, Operand, List, String, DepthwiseConv2dNativeBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Factory method to create a class wrapping a new DepthwiseConv2dNativeBackpropFilter operation.
create(Scope, Operand, Operand, Operand, MatrixDiagPartV3.Options...) - Static method in class org.tensorflow.op.linalg.MatrixDiagPartV3: Factory method to create a class wrapping a new MatrixDiagPartV3 operation.
create(Scope, Operand, Operand, RandomCrop.Options...) - Static method in class org.tensorflow.op.image.RandomCrop: Factory method to create a class wrapping a new RandomCrop operation.
create(Scope, Operand, Operand, Operand, Operand, CtcLoss.Options...) - Static method in class org.tensorflow.op.nn.CtcLoss: Factory method to create a class wrapping a new CTCLoss operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.linalg.BatchMatrixBandPart: Factory method to create a class wrapping a new BatchMatrixBandPart operation.
create(Scope, Operand, Operand, Operand, Long, Unbatch.Options...) - Static method in class org.tensorflow.op.core.Unbatch: Factory method to create a class wrapping a new Unbatch operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseAddGrad: Factory method to create a class wrapping a new SparseAddGrad operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseSliceGrad: Factory method to create a class wrapping a new SparseSliceGrad operation.
create(Scope, Operand, Operand, Operand, Operand, String, DenseToSparseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Factory method to create a class wrapping a new DenseToSparseSetOperation operation.
create(Scope, Operand, Operand, Operand, Operand, UnbatchGrad.Options...) - Static method in class org.tensorflow.op.core.UnbatchGrad: Factory method to create a class wrapping a new UnbatchGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.bitwise.BitwiseAnd: Factory method to create a class wrapping a new BitwiseAnd operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.bitwise.BitwiseOr: Factory method to create a class wrapping a new BitwiseOr operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.bitwise.BitwiseXor: Factory method to create a class wrapping a new BitwiseXor operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.bitwise.LeftShift: Factory method to create a class wrapping a new LeftShift operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.bitwise.RightShift: Factory method to create a class wrapping a new RightShift operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.BroadcastDynamicShape: Factory method to create a class wrapping a new BroadcastArgs operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.BroadcastGradientArgs: Factory method to create a class wrapping a new BroadcastGradientArgs operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.CopyToMeshGrad: Factory method to create a class wrapping a new CopyToMeshGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.LowerBound: Factory method to create a class wrapping a new LowerBound operation, with the default output types.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.SetDiff1d: Factory method to create a class wrapping a new ListDiff operation, with the default output types.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.UnravelIndex: Factory method to create a class wrapping a new UnravelIndex operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.UpperBound: Factory method to create a class wrapping a new UpperBound operation, with the default output types.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.linalg.BatchCholeskyGrad: Factory method to create a class wrapping a new BatchCholeskyGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.linalg.BatchMatrixSetDiag: Factory method to create a class wrapping a new BatchMatrixSetDiag operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.linalg.CholeskyGrad: Factory method to create a class wrapping a new CholeskyGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.linalg.Cross: Factory method to create a class wrapping a new Cross operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Add: Factory method to create a class wrapping a new Add operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Atan2: Factory method to create a class wrapping a new Atan2 operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Div: Factory method to create a class wrapping a new Div operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.DivNoNan: Factory method to create a class wrapping a new DivNoNan operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.FloorDiv: Factory method to create a class wrapping a new FloorDiv operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.FloorMod: Factory method to create a class wrapping a new FloorMod operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Greater: Factory method to create a class wrapping a new Greater operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.GreaterEqual: Factory method to create a class wrapping a new GreaterEqual operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Igamma: Factory method to create a class wrapping a new Igamma operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Igammac: Factory method to create a class wrapping a new Igammac operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.IgammaGradA: Factory method to create a class wrapping a new IgammaGradA operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Less: Factory method to create a class wrapping a new Less operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.LessEqual: Factory method to create a class wrapping a new LessEqual operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Maximum: Factory method to create a class wrapping a new Maximum operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Minimum: Factory method to create a class wrapping a new Minimum operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Mod: Factory method to create a class wrapping a new Mod operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Mul: Factory method to create a class wrapping a new Mul operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.MulNoNan: Factory method to create a class wrapping a new MulNoNan operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.NextAfter: Factory method to create a class wrapping a new NextAfter operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Polygamma: Factory method to create a class wrapping a new Polygamma operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Pow: Factory method to create a class wrapping a new Pow operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.RealDiv: Factory method to create a class wrapping a new RealDiv operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.ReciprocalGrad: Factory method to create a class wrapping a new ReciprocalGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.RsqrtGrad: Factory method to create a class wrapping a new RsqrtGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.SigmoidGrad: Factory method to create a class wrapping a new SigmoidGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.SoftplusGrad: Factory method to create a class wrapping a new SoftplusGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.SqrtGrad: Factory method to create a class wrapping a new SqrtGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.SquaredDifference: Factory method to create a class wrapping a new SquaredDifference operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Sub: Factory method to create a class wrapping a new Sub operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.TanhGrad: Factory method to create a class wrapping a new TanhGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.TruncateDiv: Factory method to create a class wrapping a new TruncateDiv operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.TruncateMod: Factory method to create a class wrapping a new TruncateMod operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Xdivy: Factory method to create a class wrapping a new Xdivy operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Xlog1py: Factory method to create a class wrapping a new Xlog1py operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Xlogy: Factory method to create a class wrapping a new Xlogy operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.math.Zeta: Factory method to create a class wrapping a new Zeta operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.nn.EluGrad: Factory method to create a class wrapping a new EluGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.nn.InvGrad: Factory method to create a class wrapping a new InvGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.nn.Relu6Grad: Factory method to create a class wrapping a new Relu6Grad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.nn.ReluGrad: Factory method to create a class wrapping a new ReluGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.nn.SeluGrad: Factory method to create a class wrapping a new SeluGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits: Factory method to create a class wrapping a new SoftmaxCrossEntropyWithLogits operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.nn.SoftsignGrad: Factory method to create a class wrapping a new SoftsignGrad operation.
create(Scope, Operand, Operand) - Static method in class org.tensorflow.op.random.RandomGammaGrad: Factory method to create a class wrapping a new RandomGammaGrad operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.LowerBound: Factory method to create a class wrapping a new LowerBound operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.SetDiff1d: Factory method to create a class wrapping a new ListDiff operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.UpperBound: Factory method to create a class wrapping a new UpperBound operation.
create(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.dtypes.Complex: Factory method to create a class wrapping a new Complex operation.
create(Scope, Operand, Operand, Class, AnonymousMutableDenseHashTable.Options...) - Static method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable: Factory method to create a class wrapping a new AnonymousMutableDenseHashTable operation.
create(Scope, Operand, Operand, Class, MutableDenseHashTable.Options...) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Factory method to create a class wrapping a new MutableDenseHashTableV2 operation.
create(Scope, Operand, Operand, String, DenseToDenseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Factory method to create a class wrapping a new DenseToDenseSetOperation operation.
create(Scope, Operand, Operand, List, String, Conv.Options...) - Static method in class org.tensorflow.op.nn.Conv: Factory method to create a class wrapping a new Conv operation.
create(Scope, Operand, Operand, List, String, Conv2d.Options...) - Static method in class org.tensorflow.op.nn.Conv2d: Factory method to create a class wrapping a new Conv2D operation.
create(Scope, Operand, Operand, List, String, Conv3d.Options...) - Static method in class org.tensorflow.op.nn.Conv3d: Factory method to create a class wrapping a new Conv3D operation.
create(Scope, Operand, Operand, List, String, DepthwiseConv2dNative.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Factory method to create a class wrapping a new DepthwiseConv2dNative operation.
create(Scope, Operand, Operand, List, List, String) - Static method in class org.tensorflow.op.nn.Dilation2d: Factory method to create a class wrapping a new Dilation2D operation.
create(Scope, Operand, Operand, Assign.Options...) - Static method in class org.tensorflow.op.core.Assign: Factory method to create a class wrapping a new Assign operation.
create(Scope, Operand, Operand, AssignAdd.Options...) - Static method in class org.tensorflow.op.core.AssignAdd: Factory method to create a class wrapping a new AssignAdd operation.
create(Scope, Operand, Operand, AssignSub.Options...) - Static method in class org.tensorflow.op.core.AssignSub: Factory method to create a class wrapping a new AssignSub operation.
create(Scope, Operand, Operand, LeakyReluGrad.Options...) - Static method in class org.tensorflow.op.data.LeakyReluGrad: Factory method to create a class wrapping a new LeakyReluGrad operation.
create(Scope, Operand, Operand, BandedTriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.BandedTriangularSolve: Factory method to create a class wrapping a new BandedTriangularSolve operation.
create(Scope, Operand, Operand, BatchMatrixSolve.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolve: Factory method to create a class wrapping a new BatchMatrixSolve operation.
create(Scope, Operand, Operand, BatchMatrixTriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: Factory method to create a class wrapping a new BatchMatrixTriangularSolve operation.
create(Scope, Operand, Operand, MatMul.Options...) - Static method in class org.tensorflow.op.linalg.MatMul: Factory method to create a class wrapping a new MatMul operation.
create(Scope, Operand, Operand, Solve.Options...) - Static method in class org.tensorflow.op.linalg.Solve: Factory method to create a class wrapping a new MatrixSolve operation.
create(Scope, Operand, Operand, TriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.TriangularSolve: Factory method to create a class wrapping a new MatrixTriangularSolve operation.
create(Scope, Operand, Operand, TridiagonalSolve.Options...) - Static method in class org.tensorflow.op.linalg.TridiagonalSolve: Factory method to create a class wrapping a new TridiagonalSolve operation.
create(Scope, Operand, Operand, ApproximateEqual.Options...) - Static method in class org.tensorflow.op.math.ApproximateEqual: Factory method to create a class wrapping a new ApproximateEqual operation.
create(Scope, Operand, Operand, Equal.Options...) - Static method in class org.tensorflow.op.math.Equal: Factory method to create a class wrapping a new Equal operation.
create(Scope, Operand, Operand, NotEqual.Options...) - Static method in class org.tensorflow.op.math.NotEqual: Factory method to create a class wrapping a new NotEqual operation.
create(Scope, Operand, Operand, BiasAdd.Options...) - Static method in class org.tensorflow.op.nn.BiasAdd: Factory method to create a class wrapping a new BiasAdd operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.LinSpace: Factory method to create a class wrapping a new LinSpace operation.
create(Scope, Operand, Operand, Operand, List, List, String, MaxPoolGradGradWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax: Factory method to create a class wrapping a new MaxPoolGradGradWithArgmax operation.
create(Scope, Operand, Operand, Operand, List, List, String, MaxPoolGradWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax: Factory method to create a class wrapping a new MaxPoolGradWithArgmax operation.
create(Scope, Operand, Operand, Operand, Operand, ScaleAndTranslateGrad.Options...) - Static method in class org.tensorflow.op.image.ScaleAndTranslateGrad: Factory method to create a class wrapping a new ScaleAndTranslateGrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, Long, Long, Long, Long, Long, Long, UniformQuantizedDot.Options...) - Static method in class org.tensorflow.op.quantization.UniformQuantizedDot: Factory method to create a class wrapping a new UniformQuantizedDot operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, String, Long, Long, Long, Long, Long, Long, UniformQuantizedConvolution.Options...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Factory method to create a class wrapping a new UniformQuantizedConvolution operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Long, Long, Long, Long, Long, Long, UniformQuantizedAdd.Options...) - Static method in class org.tensorflow.op.math.UniformQuantizedAdd: Factory method to create a class wrapping a new UniformQuantizedAdd operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, FusedBatchNormGrad.Options...) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad: Factory method to create a class wrapping a new FusedBatchNormGradV3 operation.
create(Scope, Operand, Operand, Operand, BatchMatrixSolveLs.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolveLs: Factory method to create a class wrapping a new BatchMatrixSolveLs operation.
create(Scope, Operand, Operand, Operand, MatrixSolveLs.Options...) - Static method in class org.tensorflow.op.linalg.MatrixSolveLs: Factory method to create a class wrapping a new MatrixSolveLs operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.HistogramFixedWidth: Factory method to create a class wrapping a new HistogramFixedWidth operation, with the default output types.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.HistogramFixedWidth: Factory method to create a class wrapping a new HistogramFixedWidth operation.
create(Scope, Operand, Operand, Operand, MatrixSetDiag.Options...) - Static method in class org.tensorflow.op.linalg.MatrixSetDiag: Factory method to create a class wrapping a new MatrixSetDiagV3 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, NonMaxSuppression.Options...) - Static method in class org.tensorflow.op.image.NonMaxSuppression: Factory method to create a class wrapping a new NonMaxSuppressionV5 operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.ClipByValue: Factory method to create a class wrapping a new ClipByValue operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.Range: Factory method to create a class wrapping a new Range operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.math.Betainc: Factory method to create a class wrapping a new Betainc operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.ragged.RaggedRange: Factory method to create a class wrapping a new RaggedRange operation, with the default output types.
create(Scope, Operand, Operand, Operand, Class) - Static method in class org.tensorflow.op.ragged.RaggedRange: Factory method to create a class wrapping a new RaggedRange operation.
create(Scope, Operand, Operand, Operand, List, String, Conv2dBackpropFilterV2.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Factory method to create a class wrapping a new Conv2DBackpropFilterV2 operation.
create(Scope, Operand, Operand, Operand, List, String, Conv2dBackpropInputV2.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Factory method to create a class wrapping a new Conv2DBackpropInputV2 operation.
create(Scope, Operand, Operand, Operand, List, List, String) - Static method in class org.tensorflow.op.nn.Dilation2dBackpropFilter: Factory method to create a class wrapping a new Dilation2DBackpropFilter operation.
create(Scope, Operand, Operand, Operand, List, List, String) - Static method in class org.tensorflow.op.nn.Dilation2dBackpropInput: Factory method to create a class wrapping a new Dilation2DBackpropInput operation.
create(Scope, Operand, Operand, Operand, List, List, String, MaxPool3dGradGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3dGradGrad: Factory method to create a class wrapping a new MaxPool3DGradGrad operation.
create(Scope, Operand, Operand, Operand, LocalResponseNormalizationGrad.Options...) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Factory method to create a class wrapping a new LRNGrad operation.
create(Scope, Operand, Operand, Operand, QuantizeAndDequantizeV4.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Factory method to create a class wrapping a new QuantizeAndDequantizeV4 operation.
create(Scope, Operand, Operand, Operand, ApplyGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ApplyGradientDescent: Factory method to create a class wrapping a new ApplyGradientDescent operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Long, Long, UniformQuantizedClipByValue.Options...) - Static method in class org.tensorflow.op.core.UniformQuantizedClipByValue: Factory method to create a class wrapping a new UniformQuantizedClipByValue operation.
create(Scope, Operand, Operand, Operand, Operand, QuantizeAndDequantize.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Factory method to create a class wrapping a new QuantizeAndDequantizeV3 operation.
create(Scope, Operand, Operand, Operand, Operand, QuantizeAndDequantizeV3.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Factory method to create a class wrapping a new QuantizeAndDequantizeV3 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, String, MaxPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGrad: Factory method to create a class wrapping a new MaxPoolGradV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, String, MaxPoolGradGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGradGrad: Factory method to create a class wrapping a new MaxPoolGradGradV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, FractionalMaxPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.FractionalMaxPoolGrad: Factory method to create a class wrapping a new FractionalMaxPoolGrad operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.linalg.TridiagonalMatMul: Factory method to create a class wrapping a new TridiagonalMatMul operation.
create(Scope, Operand, Operand, Operand, Operand, QuantizeAndDequantizeV4Grad.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Factory method to create a class wrapping a new QuantizeAndDequantizeV4Grad operation.
create(Scope, Operand, Operand, Operand, Operand, ApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagrad: Factory method to create a class wrapping a new ApplyAdagrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.SparseApplyMomentum: Factory method to create a class wrapping a new SparseApplyMomentum operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdagradDa: Factory method to create a class wrapping a new SparseApplyAdagradDA operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.SparseApplyFtrl: Factory method to create a class wrapping a new SparseApplyFtrlV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, CudnnRNN.Options...) - Static method in class org.tensorflow.op.nn.CudnnRNN: Factory method to create a class wrapping a new CudnnRNNV3 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, CudnnRNNBackprop.Options...) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Factory method to create a class wrapping a new CudnnRNNBackpropV3 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Float, Boolean) - Static method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization: Factory method to create a class wrapping a new BatchNormWithGlobalNormalization operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Float, Boolean) - Static method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Factory method to create a class wrapping a new BatchNormWithGlobalNormalizationGrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, ApplyAdagradV2.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagradV2: Factory method to create a class wrapping a new ApplyAdagradV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, ApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ApplyMomentum: Factory method to create a class wrapping a new ApplyMomentum operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, ApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ApplyProximalGradientDescent: Factory method to create a class wrapping a new ApplyProximalGradientDescent operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad: Factory method to create a class wrapping a new SparseApplyAdagradV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent: Factory method to create a class wrapping a new SparseApplyProximalGradientDescent operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.nn.GRUBlockCell: Factory method to create a class wrapping a new GRUBlockCell operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, ApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ApplyProximalAdagrad: Factory method to create a class wrapping a new ApplyProximalAdagrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.SparseApplyProximalAdagrad: Factory method to create a class wrapping a new SparseApplyProximalAdagrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ApplyAdadelta: Factory method to create a class wrapping a new ApplyAdadelta operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyAddSign.Options...) - Static method in class org.tensorflow.op.train.ApplyAddSign: Factory method to create a class wrapping a new ApplyAddSign operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyPowerSign.Options...) - Static method in class org.tensorflow.op.train.ApplyPowerSign: Factory method to create a class wrapping a new ApplyPowerSign operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdadelta: Factory method to create a class wrapping a new SparseApplyAdadelta operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagradDa: Factory method to create a class wrapping a new ApplyAdagradDA operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, LSTMBlockCell.Options...) - Static method in class org.tensorflow.op.nn.LSTMBlockCell: Factory method to create a class wrapping a new LSTMBlockCell operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ApplyRmsProp: Factory method to create a class wrapping a new ApplyRMSProp operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.SparseApplyRmsProp: Factory method to create a class wrapping a new SparseApplyRMSProp operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyAdaMax.Options...) - Static method in class org.tensorflow.op.train.ApplyAdaMax: Factory method to create a class wrapping a new ApplyAdaMax operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ApplyCenteredRmsProp: Factory method to create a class wrapping a new ApplyCenteredRMSProp operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ApplyFtrl: Factory method to create a class wrapping a new ApplyFtrlV2 operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp: Factory method to create a class wrapping a new SparseApplyCenteredRMSProp operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.nn.GRUBlockCellGrad: Factory method to create a class wrapping a new GRUBlockCellGrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ApplyAdam.Options...) - Static method in class org.tensorflow.op.train.ApplyAdam: Factory method to create a class wrapping a new ApplyAdam operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean) - Static method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Factory method to create a class wrapping a new LSTMBlockCellGrad operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, StridedSliceGrad.Options...) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Factory method to create a class wrapping a new StridedSliceGrad operation.
create(Scope, Operand, Operand, Operand, List, List, String, MaxPool3dGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3dGrad: Factory method to create a class wrapping a new MaxPool3DGrad operation.
create(Scope, Operand, Operand, Operand, DenseBincount.Options...) - Static method in class org.tensorflow.op.math.DenseBincount: Factory method to create a class wrapping a new DenseBincount operation.
create(Scope, Operand, Operand, Operand, Operand, SparseToDense.Options...) - Static method in class org.tensorflow.op.sparse.SparseToDense: Factory method to create a class wrapping a new SparseToDense operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad: Factory method to create a class wrapping a new SparseSegmentMeanGradV2 operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad: Factory method to create a class wrapping a new SparseSegmentSqrtNGradV2 operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseSegmentSumGrad: Factory method to create a class wrapping a new SparseSegmentSumGradV2 operation.
create(Scope, Operand, Operand, Operand, ScatterNd.Options...) - Static method in class org.tensorflow.op.core.ScatterNd: Factory method to create a class wrapping a new ScatterNd operation.
create(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseAdd: Factory method to create a class wrapping a new SparseTensorDenseAdd operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.core.Slice: Factory method to create a class wrapping a new Slice operation.
create(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.op.linalg.BandPart: Factory method to create a class wrapping a new MatrixBandPart operation.
create(Scope, Operand, Operand, Operand, Operand, StridedSlice.Options...) - Static method in class org.tensorflow.op.core.StridedSlice: Factory method to create a class wrapping a new StridedSlice operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, StridedSliceAssign.Options...) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Factory method to create a class wrapping a new StridedSliceAssign operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, TensorStridedSliceUpdate.Options...) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Factory method to create a class wrapping a new TensorStridedSliceUpdate operation.
create(Scope, Operand, Operand, Operand, Operand, Operand, FusedBatchNorm.Options...) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Factory method to create a class wrapping a new FusedBatchNormV3 operation.
create(Scope, Tensor, Class) - Static method in class org.tensorflow.op.core.HostConst: Factory method to create a class wrapping a new HostConst operation.
create(Scope, T) - Static method in class org.tensorflow.op.core.Constant: Create a constant by making an immutable copy of tensor.
create(Signature, Graph) - Static method in class org.tensorflow.ConcreteFunction: Create a function from a signature and an existing graph.
create(Signature, Session) - Static method in class org.tensorflow.ConcreteFunction: Create a function from a signature and a valid graph session.
create(Signature, Session) - Static method in class org.tensorflow.SessionFunction
createAdamMinimize(Scope, Operand, float, float, float, float, Optimizer.Options...) - Static method in class org.tensorflow.framework.optimizers.Adam: Creates the Operation that minimizes the loss
createName(Output, String) - Static method in class org.tensorflow.framework.optimizers.Optimizer: Creates a name by combining a variable name and a slot name
createOptimizer(Graph) - Method in enum org.tensorflow.framework.optimizers.Optimizers: Creates an Optimizer with default settings.
createSlot(Output, String, Operand) - Method in class org.tensorflow.framework.optimizers.Optimizer: Creates a slot in the graph for the specified variable with the specified name.
createSlots(List) - Method in class org.tensorflow.framework.optimizers.AdaDelta: Performs a No-op slot creation method.
createSlots(List) - Method in class org.tensorflow.framework.optimizers.AdaGrad: Performs a No-op slot creation method.
createSlots(List) - Method in class org.tensorflow.framework.optimizers.AdaGradDA: Performs a No-op slot creation method.
createSlots(List) - Method in class org.tensorflow.framework.optimizers.Adam: Performs a No-op slot creation method.
createSlots(List) - Method in class org.tensorflow.framework.optimizers.Adamax: Performs a No-op slot creation method.
createSlots(List) - Method in class org.tensorflow.framework.optimizers.Ftrl: Performs a No-op slot creation method.
createSlots(List) - Method in class org.tensorflow.framework.optimizers.Momentum: Performs a No-op slot creation method.
createSlots(List) - Method in class org.tensorflow.framework.optimizers.Nadam: Performs a No-op slot creation method.
createSlots(List) - Method in class org.tensorflow.framework.optimizers.Optimizer: Performs a No-op slot creation method.
createSlots(List) - Method in class org.tensorflow.framework.optimizers.RMSProp: Performs a No-op slot creation method.
createSummaryDbWriter(Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SummaryOps: The CreateSummaryDbWriter operation
CreateSummaryDbWriter - Class in org.tensorflow.op.summary: The CreateSummaryDbWriter operation
CreateSummaryDbWriter(Operation) - Constructor for class org.tensorflow.op.summary.CreateSummaryDbWriter
CreateSummaryDbWriter.Inputs - Class in org.tensorflow.op.summary
createSummaryFileWriter(Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SummaryOps: The CreateSummaryFileWriter operation
CreateSummaryFileWriter - Class in org.tensorflow.op.summary: The CreateSummaryFileWriter operation
CreateSummaryFileWriter(Operation) - Constructor for class org.tensorflow.op.summary.CreateSummaryFileWriter
CreateSummaryFileWriter.Inputs - Class in org.tensorflow.op.summary
createVariableWithInit(Scope, Operand, Variable.Options...) - Static method in class org.tensorflow.op.core.Helpers: Factory method to create a new Variable with its initializer.
CREATION_TIMESTAMP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
cropAndResize(Operand, Operand, Operand, Operand, CropAndResize.Options...) - Method in class org.tensorflow.op.ImageOps: Extracts crops from the input image tensor and resizes them.
CropAndResize - Class in org.tensorflow.op.image: Extracts crops from the input image tensor and resizes them.
CropAndResize(Operation) - Constructor for class org.tensorflow.op.image.CropAndResize
CropAndResize.Inputs - Class in org.tensorflow.op.image
CropAndResize.Options - Class in org.tensorflow.op.image: Optional attributes for CropAndResize
cropAndResizeGradBoxes(Operand, Operand, Operand, Operand, CropAndResizeGradBoxes.Options...) - Method in class org.tensorflow.op.ImageOps: Computes the gradient of the crop_and_resize op wrt the input boxes tensor.
CropAndResizeGradBoxes - Class in org.tensorflow.op.image: Computes the gradient of the crop_and_resize op wrt the input boxes tensor.
CropAndResizeGradBoxes(Operation) - Constructor for class org.tensorflow.op.image.CropAndResizeGradBoxes
CropAndResizeGradBoxes.Inputs - Class in org.tensorflow.op.image
CropAndResizeGradBoxes.Options - Class in org.tensorflow.op.image: Optional attributes for CropAndResizeGradBoxes
cropAndResizeGradImage(Operand, Operand, Operand, Operand, Class, CropAndResizeGradImage.Options...) - Method in class org.tensorflow.op.ImageOps: Computes the gradient of the crop_and_resize op wrt the input image tensor.
CropAndResizeGradImage<T> - Class in org.tensorflow.op.image: Computes the gradient of the crop_and_resize op wrt the input image tensor.
CropAndResizeGradImage(Operation) - Constructor for class org.tensorflow.op.image.CropAndResizeGradImage
CropAndResizeGradImage.Inputs - Class in org.tensorflow.op.image
CropAndResizeGradImage.Options - Class in org.tensorflow.op.image: Optional attributes for CropAndResizeGradImage
crops - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: 2-D tensor of non-negative integers with shape [2, 2].
crops - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: 2-D with shape [M, 2], all values must be >= 0.
crops() - Method in class org.tensorflow.op.image.CropAndResize: Gets crops.
cropSize - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A 1-D tensor of 2 elements, size = [crop_height, crop_width].
cropWindow - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: 1-D.
cross(Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: Compute the pairwise cross product.
Cross<T> - Class in org.tensorflow.op.linalg: Compute the pairwise cross product.
Cross(Operation) - Constructor for class org.tensorflow.op.linalg.Cross
CROSS_TRAINER_CACHE_SIZE_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
Cross.Inputs<T> - Class in org.tensorflow.op.linalg
crossReplicaSum(Operand, Operand) - Method in class org.tensorflow.op.TpuOps: An Op to sum inputs across replicated TPU instances.
CrossReplicaSum<T> - Class in org.tensorflow.op.tpu: An Op to sum inputs across replicated TPU instances.
CrossReplicaSum(Operation) - Constructor for class org.tensorflow.op.tpu.CrossReplicaSum
CrossReplicaSum.Inputs<T> - Class in org.tensorflow.op.tpu
crossTrainerCacheOptions - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The crossTrainerCacheOptions attribute
crossTrainerCacheOptions(String) - Static method in class org.tensorflow.op.data.DataServiceDataset: Sets the crossTrainerCacheOptions option.
crossTrainerCacheOptions(String) - Method in class org.tensorflow.op.data.DataServiceDataset.Options: Sets the crossTrainerCacheOptions option.
cs - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The cell state before the tanh over the whole time sequence.
cs - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The cell state before the tanh.
cs() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets cs.
cs() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets cs.
csGrad - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The current gradient of cs.
csGrad - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The current gradient of cs.
csPrev - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Value of the initial cell state.
csPrev - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: Value of the initial cell state.
csPrev - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: Value of the cell state at previous time step.
csPrev - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The previous cell state.
csPrevGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets csPrevGrad.
csPrevGrad() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets csPrevGrad.
csrSparseMatrix - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents.Inputs: A batched CSRSparseMatrix.
cSRSparseMatrixComponents(Operand, Operand, Class) - Method in class org.tensorflow.op.LinalgSparseOps: Reads out the CSR components at batch index.
CSRSparseMatrixComponents<T> - Class in org.tensorflow.op.linalg.sparse: Reads out the CSR components at batch index.
CSRSparseMatrixComponents(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents
CSRSparseMatrixComponents.Inputs - Class in org.tensorflow.op.linalg.sparse
cSRSparseMatrixToDense(Operand, Class) - Method in class org.tensorflow.op.LinalgSparseOps: Convert a (possibly batched) CSRSparseMatrix to dense.
CSRSparseMatrixToDense<T> - Class in org.tensorflow.op.linalg.sparse: Convert a (possibly batched) CSRSparseMatrix to dense.
CSRSparseMatrixToDense(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense
CSRSparseMatrixToDense.Inputs - Class in org.tensorflow.op.linalg.sparse
cSRSparseMatrixToSparseTensor(Operand, Class) - Method in class org.tensorflow.op.LinalgSparseOps: Converts a (possibly batched) CSRSparesMatrix to a SparseTensor.
CSRSparseMatrixToSparseTensor<T> - Class in org.tensorflow.op.linalg.sparse: Converts a (possibly batched) CSRSparesMatrix to a SparseTensor.
CSRSparseMatrixToSparseTensor(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor
CSRSparseMatrixToSparseTensor.Inputs - Class in org.tensorflow.op.linalg.sparse
cSVDataset(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Iterable, List) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalCSVDataset operation
cSVDataset(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Iterable, Operand, List) - Method in class org.tensorflow.op.DataOps: The CSVDatasetV2 operation
CSVDataset - Class in org.tensorflow.op.data: The CSVDatasetV2 operation
CSVDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalCSVDataset operation
CSVDataset(Operation) - Constructor for class org.tensorflow.op.data.CSVDataset
CSVDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.CSVDataset
CSVDataset.Inputs - Class in org.tensorflow.op.data
CSVDataset.Inputs - Class in org.tensorflow.op.data.experimental
ctcBeamSearchDecoder(Operand, Operand, Long, Long, CtcBeamSearchDecoder.Options...) - Method in class org.tensorflow.op.NnOps: Performs beam search decoding on the logits given in input.
CtcBeamSearchDecoder<T> - Class in org.tensorflow.op.nn: Performs beam search decoding on the logits given in input.
CtcBeamSearchDecoder(Operation) - Constructor for class org.tensorflow.op.nn.CtcBeamSearchDecoder
CtcBeamSearchDecoder.Inputs<T> - Class in org.tensorflow.op.nn
CtcBeamSearchDecoder.Options - Class in org.tensorflow.op.nn: Optional attributes for CtcBeamSearchDecoder
ctcGreedyDecoder(Operand, Operand, CtcGreedyDecoder.Options...) - Method in class org.tensorflow.op.NnOps: Performs greedy decoding on the logits given in inputs.
CtcGreedyDecoder<T> - Class in org.tensorflow.op.nn: Performs greedy decoding on the logits given in inputs.
CtcGreedyDecoder(Operation) - Constructor for class org.tensorflow.op.nn.CtcGreedyDecoder
CtcGreedyDecoder.Inputs<T> - Class in org.tensorflow.op.nn
CtcGreedyDecoder.Options - Class in org.tensorflow.op.nn: Optional attributes for CtcGreedyDecoder
ctcLoss(Operand, Operand, Operand, Operand, CtcLoss.Options...) - Method in class org.tensorflow.op.NnOps: Calculates the CTC Loss (log probability) for each batch entry.
CtcLoss<T> - Class in org.tensorflow.op.nn: Calculates the CTC Loss (log probability) for each batch entry.
CtcLoss(Operation) - Constructor for class org.tensorflow.op.nn.CtcLoss
CtcLoss.Inputs<T> - Class in org.tensorflow.op.nn
CtcLoss.Options - Class in org.tensorflow.op.nn: Optional attributes for CtcLoss
cTCLossV2(Operand, Operand, Operand, Operand, CTCLossV2.Options...) - Method in class org.tensorflow.op.NnOps: Calculates the CTC Loss (log probability) for each batch entry.
CTCLossV2 - Class in org.tensorflow.op.nn: Calculates the CTC Loss (log probability) for each batch entry.
CTCLossV2(Operation) - Constructor for class org.tensorflow.op.nn.CTCLossV2
CTCLossV2.Inputs - Class in org.tensorflow.op.nn
CTCLossV2.Options - Class in org.tensorflow.op.nn: Optional attributes for CTCLossV2
ctcMergeRepeated - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: Scalar.
ctcMergeRepeated - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: Scalar.
ctcMergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss: Sets the ctcMergeRepeated option.
ctcMergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options: Sets the ctcMergeRepeated option.
ctcMergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CTCLossV2: Sets the ctcMergeRepeated option.
ctcMergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CTCLossV2.Options: Sets the ctcMergeRepeated option.
CTXT_NOT_SET - Enum constant in enum org.tensorflow.proto.ControlFlowContextDef.CtxtCase
cudnnRNN(Operand, Operand, Operand, Operand, Operand, CudnnRNN.Options...) - Method in class org.tensorflow.op.NnOps: A RNN backed by cuDNN.
CudnnRNN<T> - Class in org.tensorflow.op.nn: A RNN backed by cuDNN.
CudnnRNN(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRNN
CudnnRNN.Inputs<T> - Class in org.tensorflow.op.nn
CudnnRNN.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRNN
cudnnRNNBackprop(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, CudnnRNNBackprop.Options...) - Method in class org.tensorflow.op.NnOps: Backprop step of CudnnRNNV3.
CudnnRNNBackprop<T> - Class in org.tensorflow.op.nn: Backprop step of CudnnRNNV3.
CudnnRNNBackprop(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRNNBackprop
CudnnRNNBackprop.Inputs<T> - Class in org.tensorflow.op.nn
CudnnRNNBackprop.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRNNBackprop
cudnnRNNCanonicalToParams(Operand, Operand, Operand, Iterable, Iterable, CudnnRNNCanonicalToParams.Options...) - Method in class org.tensorflow.op.NnOps: Converts CudnnRNN params from canonical form to usable form.
CudnnRNNCanonicalToParams<T> - Class in org.tensorflow.op.nn: Converts CudnnRNN params from canonical form to usable form.
CudnnRNNCanonicalToParams(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRNNCanonicalToParams
CudnnRNNCanonicalToParams.Inputs<T> - Class in org.tensorflow.op.nn
CudnnRNNCanonicalToParams.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRNNCanonicalToParams
cudnnRnnParamsSize(Operand, Operand, Operand, Class, Class, CudnnRnnParamsSize.Options...) - Method in class org.tensorflow.op.NnOps: Computes size of weights that can be used by a Cudnn RNN model.
CudnnRnnParamsSize<T> - Class in org.tensorflow.op.nn: Computes size of weights that can be used by a Cudnn RNN model.
CudnnRnnParamsSize(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRnnParamsSize
CudnnRnnParamsSize.Inputs - Class in org.tensorflow.op.nn
CudnnRnnParamsSize.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRnnParamsSize
cudnnRNNParamsToCanonical(Operand, Operand, Operand, Operand, Long, Long, CudnnRNNParamsToCanonical.Options...) - Method in class org.tensorflow.op.NnOps: Retrieves CudnnRNN params in canonical form.
CudnnRNNParamsToCanonical<T> - Class in org.tensorflow.op.nn: Retrieves CudnnRNN params in canonical form.
CudnnRNNParamsToCanonical(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRNNParamsToCanonical
CudnnRNNParamsToCanonical.Inputs<T> - Class in org.tensorflow.op.nn
CudnnRNNParamsToCanonical.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRNNParamsToCanonical
cumprod(Operand, Operand, Cumprod.Options...) - Method in class org.tensorflow.op.MathOps: Compute the cumulative product of the tensor x along axis.
Cumprod<T> - Class in org.tensorflow.op.math: Compute the cumulative product of the tensor x along axis.
Cumprod(Operation) - Constructor for class org.tensorflow.op.math.Cumprod
Cumprod.Inputs<T> - Class in org.tensorflow.op.math
Cumprod.Options - Class in org.tensorflow.op.math: Optional attributes for Cumprod
cumsum(Operand, Operand, Cumsum.Options...) - Method in class org.tensorflow.op.MathOps: Compute the cumulative sum of the tensor x along axis.
Cumsum<T> - Class in org.tensorflow.op.math: Compute the cumulative sum of the tensor x along axis.
Cumsum(Operation) - Constructor for class org.tensorflow.op.math.Cumsum
Cumsum.Inputs<T> - Class in org.tensorflow.op.math
Cumsum.Options - Class in org.tensorflow.op.math: Optional attributes for Cumsum
cumulativeLogsumexp(Operand, Operand, CumulativeLogsumexp.Options...) - Method in class org.tensorflow.op.MathOps: Compute the cumulative product of the tensor x along axis.
CumulativeLogsumexp<T> - Class in org.tensorflow.op.math: Compute the cumulative product of the tensor x along axis.
CumulativeLogsumexp(Operation) - Constructor for class org.tensorflow.op.math.CumulativeLogsumexp
CumulativeLogsumexp.Inputs<T> - Class in org.tensorflow.op.math
CumulativeLogsumexp.Options - Class in org.tensorflow.op.math: Optional attributes for CumulativeLogsumexp
CURRENT_WORK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ReaderBaseState
currentEpoch() - Method in class org.tensorflow.op.core.Skipgram: Gets currentEpoch.
CURT_HEALTH - Enum constant in enum org.tensorflow.proto.TensorDebugMode: A minimalist health summary for float-type tensors.
CURT_HEALTH_VALUE - Static variable in enum org.tensorflow.proto.TensorDebugMode: A minimalist health summary for float-type tensors.
CUSTOM - Enum constant in enum org.tensorflow.DeviceSpec.DeviceType
CUSTOM_OPTIMIZERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
CustomGradient<T> - Interface in org.tensorflow.op: A custom gradient for ops of type T.
cycleLength - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The cycleLength input
cycleLength - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The cycleLength input
cycleLength - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The cycleLength input
cycleLength - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Number of datasets (each created by applying f to the elements of input_dataset) among which the ParallelInterleaveDatasetV2 will cycle in a round-robin fashion.

D

data - Variable in class org.tensorflow.op.core.AssertThat.Inputs: The tensors to print out when condition is false.
data - Variable in class org.tensorflow.op.core.DynamicPartition.Inputs: The data input
data - Variable in class org.tensorflow.op.core.DynamicStitch.Inputs: The data input
data - Variable in class org.tensorflow.op.core.Enter.Inputs: The tensor to be made available to the child frame.
data - Variable in class org.tensorflow.op.core.Exit.Inputs: The tensor to be made available to the parent frame.
data - Variable in class org.tensorflow.op.core.Fingerprint.Inputs: Must have rank 1 or higher.
data - Variable in class org.tensorflow.op.core.NextIteration.Inputs: The tensor to be made available to the next iteration.
data - Variable in class org.tensorflow.op.core.ParallelDynamicStitch.Inputs: The data input
data - Variable in class org.tensorflow.op.core.RefEnter.Inputs: The tensor to be made available to the child frame.
data - Variable in class org.tensorflow.op.core.RefExit.Inputs: The tensor to be made available to the parent frame.
data - Variable in class org.tensorflow.op.core.RefNextIteration.Inputs: The tensor to be made available to the next iteration.
data - Variable in class org.tensorflow.op.core.RefSwitch.Inputs: The ref tensor to be forwarded to the appropriate output.
data - Variable in class org.tensorflow.op.core.SwitchCond.Inputs: The tensor to be forwarded to the appropriate output.
data - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The data input
data - Variable in class org.tensorflow.op.math.SegmentMean.Inputs: The data input
data - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The data input
data - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The data input
data - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The data input
data - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The data input
data - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The data input
data - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The data input
data - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The data input
data - Variable in class org.tensorflow.op.Ops
data - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The data input
data - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The values tensor of the ragged string tensor to make ngrams out of.
data - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: N tensors to save.
data() - Method in class org.tensorflow.internal.c_api.TF_Buffer
data() - Method in class org.tensorflow.internal.c_api.TF_StringView
data() - Method in class org.tensorflow.op.collective.CollectiveAllToAll: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveBcastRecv: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveBcastSend: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveGather: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveReduce: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveReduceScatter: Gets data.
data() - Method in class org.tensorflow.op.core.NcclAllReduce: Deprecated.

Gets data.
data() - Method in class org.tensorflow.op.core.NcclReduce: Deprecated.

Gets data.
data() - Method in class org.tensorflow.op.distribute.NcclAllReduce: Gets data.
data() - Method in class org.tensorflow.op.distribute.NcclReduce: Gets data.
data() - Method in class org.tensorflow.RawTensor: Returns the raw data of this tensor as a buffer of bytes.
data(BytePointer) - Method in class org.tensorflow.internal.c_api.TF_StringView
data(Pointer) - Method in class org.tensorflow.internal.c_api.TF_Buffer
DATA - Enum constant in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Shards by elements produced by the dataset.
DATA - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: DATA: Shards by elements produced by the dataset.
DATA_CLASS_BLOB_SEQUENCE - Enum constant in enum org.tensorflow.proto.DataClass: Blob sequence time series.
DATA_CLASS_BLOB_SEQUENCE_VALUE - Static variable in enum org.tensorflow.proto.DataClass: Blob sequence time series.
DATA_CLASS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SummaryMetadata
DATA_CLASS_SCALAR - Enum constant in enum org.tensorflow.proto.DataClass: Scalar time series.
DATA_CLASS_SCALAR_VALUE - Static variable in enum org.tensorflow.proto.DataClass: Scalar time series.
DATA_CLASS_TENSOR - Enum constant in enum org.tensorflow.proto.DataClass: Tensor time series.
DATA_CLASS_TENSOR_VALUE - Static variable in enum org.tensorflow.proto.DataClass: Tensor time series.
DATA_CLASS_UNKNOWN - Enum constant in enum org.tensorflow.proto.DataClass: Unknown data class, used (implicitly) for legacy data.
DATA_CLASS_UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.DataClass: Unknown data class, used (implicitly) for legacy data.
DATA_DATASET_SPEC - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.data.DatasetSpec
DATA_DATASET_SPEC_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.data.DatasetSpec
data_deallocator() - Method in class org.tensorflow.internal.c_api.TF_Buffer
data_deallocator(TF_Buffer.Data_deallocator_Pointer_long) - Method in class org.tensorflow.internal.c_api.TF_Buffer
Data_deallocator_Pointer_long() - Constructor for class org.tensorflow.internal.c_api.TF_Buffer.Data_deallocator_Pointer_long
Data_deallocator_Pointer_long(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Buffer.Data_deallocator_Pointer_long: Pointer cast constructor.
DATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Dataset.CompressedElement
DATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferConstNodeInfo
DATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedSlice
DATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedTensorSlices
DATA_ITERATOR_SPEC - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: IteratorSpec from data/ops/iterator_ops.py
DATA_ITERATOR_SPEC_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: IteratorSpec from data/ops/iterator_ops.py
DATA_LOSS - Enum constant in enum org.tensorflow.proto.error.Code: Unrecoverable data loss or corruption.
DATA_LOSS_VALUE - Static variable in enum org.tensorflow.proto.error.Code: Unrecoverable data loss or corruption.
DATA_NOT_SET - Enum constant in enum org.tensorflow.proto.profiler.Xplane.XEvent.DataCase
DATA_TRANSFER_ADDRESS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
DATA_TRANSFER_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
DATA_TRANSFER_PROTOCOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
DATA_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Shards by elements produced by the dataset.
DATA_VALUE - Static variable in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: DATA: Shards by elements produced by the dataset.
dataAsByteBuffer() - Method in class org.tensorflow.internal.c_api.AbstractTF_Buffer: Returns the data of this buffer as a ByteBuffer
DataClass - Enum in org.tensorflow.proto: Protobuf enum tensorflow.DataClass
DataExperimentalOps - Class in org.tensorflow.op: An API for building data.experimental operations as Ops
dataFormat - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.BiasAdd.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.BiasAddGrad.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv.Inputs: Used to set the data format.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.DepthToSpace.Inputs: The dataFormat attribute
dataFormat - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: The data format for x and y.
dataFormat - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: The data format for y_backprop, x, x_backprop.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.SpaceToDepth.Inputs: The dataFormat attribute
dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPool: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPool.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPool3d: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPool3d.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPool3dGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPool3dGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPoolGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPoolGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.BiasAdd: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.BiasAdd.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.BiasAddGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.BiasAddGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv3d: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv3d.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv3dBackpropInput.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthToSpace: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.DepthToSpace.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.FusedBatchNormGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool3d: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool3d.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool3dGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool3dGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool3dGradGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool3dGradGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPoolGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPoolGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPoolGradGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPoolGradGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.SpaceToDepth: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.SpaceToDepth.Options: Sets the dataFormat option.
dataFormatDimMap(Operand, DataFormatDimMap.Options...) - Method in class org.tensorflow.op.NnOps: Returns the dimension index in the destination data format given the one in the source data format.
DataFormatDimMap<T> - Class in org.tensorflow.op.nn: Returns the dimension index in the destination data format given the one in the source data format.
DataFormatDimMap(Operation) - Constructor for class org.tensorflow.op.nn.DataFormatDimMap
DataFormatDimMap.Inputs<T> - Class in org.tensorflow.op.nn
DataFormatDimMap.Options - Class in org.tensorflow.op.nn: Optional attributes for DataFormatDimMap
dataFormatVecPermute(Operand, DataFormatVecPermute.Options...) - Method in class org.tensorflow.op.NnOps: Permute input tensor from src_format to dst_format.
DataFormatVecPermute<T> - Class in org.tensorflow.op.nn: Permute input tensor from src_format to dst_format.
DataFormatVecPermute(Operation) - Constructor for class org.tensorflow.op.nn.DataFormatVecPermute
DataFormatVecPermute.Inputs<T> - Class in org.tensorflow.op.nn
DataFormatVecPermute.Options - Class in org.tensorflow.op.nn: Optional attributes for DataFormatVecPermute
dataInputDatasets - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: N datasets with the same type that will be interleaved according to the values of selector_input_dataset.
dataInputDatasets - Variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs: N datasets with the same type that will be interleaved according to the values of selector_input_dataset.
DataOps - Class in org.tensorflow.op: An API for building data operations as Ops
DataService - Class in org.tensorflow.proto.data
DataService.CrossTrainerCacheOptions - Class in org.tensorflow.proto.data: Protobuf type tensorflow.data.CrossTrainerCacheOptions
DataService.CrossTrainerCacheOptions.Builder - Class in org.tensorflow.proto.data: Protobuf type tensorflow.data.CrossTrainerCacheOptions
DataService.CrossTrainerCacheOptionsOrBuilder - Interface in org.tensorflow.proto.data
DataService.DataServiceConfig - Class in org.tensorflow.proto.data: Data service config available to the client through GetDataServiceConfig RPC.
DataService.DataServiceConfig.Builder - Class in org.tensorflow.proto.data: Data service config available to the client through GetDataServiceConfig RPC.
DataService.DataServiceConfigOrBuilder - Interface in org.tensorflow.proto.data
DataService.DataServiceMetadata - Class in org.tensorflow.proto.data: Metadata related to tf.data service datasets.
DataService.DataServiceMetadata.Builder - Class in org.tensorflow.proto.data: Metadata related to tf.data service datasets.
DataService.DataServiceMetadata.Compression - Enum in org.tensorflow.proto.data: Protobuf enum tensorflow.data.DataServiceMetadata.Compression
DataService.DataServiceMetadata.OptionalElementSpecCase - Enum in org.tensorflow.proto.data
DataService.DataServiceMetadataOrBuilder - Interface in org.tensorflow.proto.data
DataService.DeploymentMode - Enum in org.tensorflow.proto.data: tf.data service deployment mode.
DataService.ProcessingModeDef - Class in org.tensorflow.proto.data: Next tag: 2
DataService.ProcessingModeDef.Builder - Class in org.tensorflow.proto.data: Next tag: 2
DataService.ProcessingModeDef.ShardingPolicy - Enum in org.tensorflow.proto.data: Specifies how data is sharded among tf.data service workers.
DataService.ProcessingModeDefOrBuilder - Interface in org.tensorflow.proto.data
dataServiceDataset(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, List, List, ConcreteFunction, DataServiceDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that reads data from the tf.data service.
DataServiceDataset - Class in org.tensorflow.op.data: Creates a dataset that reads data from the tf.data service.
DataServiceDataset(Operation) - Constructor for class org.tensorflow.op.data.DataServiceDataset
DataServiceDataset.Inputs - Class in org.tensorflow.op.data
DataServiceDataset.Options - Class in org.tensorflow.op.data: Optional attributes for DataServiceDataset
dataset - Variable in class org.tensorflow.op.core.GetElementAtIndex.Inputs: The dataset input
dataset - Variable in class org.tensorflow.op.data.DatasetToSingleElement.Inputs: A handle to a dataset that contains a single element.
dataset - Variable in class org.tensorflow.op.data.InitializeTableFromDataset.Inputs: The dataset input
dataset - Variable in class org.tensorflow.op.data.MakeIterator.Inputs: The dataset input
dataset - Variable in class org.tensorflow.op.data.MultiDeviceIteratorInit.Inputs: Dataset to be iterated upon.
dataset - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The dataset input
dataset - Variable in class org.tensorflow.op.train.DistributedSave.Inputs: The dataset input
Dataset - Class in org.tensorflow.framework.data: Represents a potentially large list of independent elements (samples), and allows iteration and transformations to be performed across these elements.
Dataset - Class in org.tensorflow.proto.data
Dataset(Dataset) - Constructor for class org.tensorflow.framework.data.Dataset: Creates a Dataset that is a copy of another Dataset
Dataset(Ops, Operand, List, List) - Constructor for class org.tensorflow.framework.data.Dataset: Creates a Dataset
DATASET_NAME - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDatasetNameCase
DATASET_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.Options
DATASET_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto
Dataset.CompressedComponentMetadata - Class in org.tensorflow.proto.data: Metadata describing a compressed component of a dataset element.
Dataset.CompressedComponentMetadata.Builder - Class in org.tensorflow.proto.data: Metadata describing a compressed component of a dataset element.
Dataset.CompressedComponentMetadataOrBuilder - Interface in org.tensorflow.proto.data
Dataset.CompressedElement - Class in org.tensorflow.proto.data: Protobuf type tensorflow.data.CompressedElement
Dataset.CompressedElement.Builder - Class in org.tensorflow.proto.data: Protobuf type tensorflow.data.CompressedElement
Dataset.CompressedElementOrBuilder - Interface in org.tensorflow.proto.data
Dataset.UncompressedElement - Class in org.tensorflow.proto.data: An uncompressed dataset element.
Dataset.UncompressedElement.Builder - Class in org.tensorflow.proto.data: An uncompressed dataset element.
Dataset.UncompressedElementOrBuilder - Interface in org.tensorflow.proto.data
datasetCardinality(Operand) - Method in class org.tensorflow.op.DataExperimentalOps: Returns the cardinality of input_dataset.
datasetCardinality(Operand, DatasetCardinality.Options...) - Method in class org.tensorflow.op.DataOps: Returns the cardinality of input_dataset.
DatasetCardinality - Class in org.tensorflow.op.data: Returns the cardinality of input_dataset.
DatasetCardinality - Class in org.tensorflow.op.data.experimental: Returns the cardinality of input_dataset.
DatasetCardinality(Operation) - Constructor for class org.tensorflow.op.data.DatasetCardinality
DatasetCardinality(Operation) - Constructor for class org.tensorflow.op.data.experimental.DatasetCardinality
DatasetCardinality.Inputs - Class in org.tensorflow.op.data
DatasetCardinality.Inputs - Class in org.tensorflow.op.data.experimental
DatasetCardinality.Options - Class in org.tensorflow.op.data: Optional attributes for DatasetCardinality
datasetFingerprint(Operand) - Method in class org.tensorflow.op.DataOps: Returns the fingerprint of input_dataset.
DatasetFingerprint - Class in org.tensorflow.op.data: Returns the fingerprint of input_dataset.
DatasetFingerprint(Operation) - Constructor for class org.tensorflow.op.data.DatasetFingerprint
DatasetFingerprint.Inputs - Class in org.tensorflow.op.data
datasetFromGraph(Operand) - Method in class org.tensorflow.op.DataOps: Creates a dataset from the given graph_def.
DatasetFromGraph - Class in org.tensorflow.op.data: Creates a dataset from the given graph_def.
DatasetFromGraph(Operation) - Constructor for class org.tensorflow.op.data.DatasetFromGraph
DatasetFromGraph.Inputs - Class in org.tensorflow.op.data
datasetId - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The datasetId input
datasetId() - Method in class org.tensorflow.op.data.RegisterDataset: Gets datasetId.
DatasetIterator - Class in org.tensorflow.framework.data: Represents the state of an iteration through a tf.data Datset.
DatasetIterator(DatasetIterator) - Constructor for class org.tensorflow.framework.data.DatasetIterator
DatasetIterator(Ops, Operand, List, List) - Constructor for class org.tensorflow.framework.data.DatasetIterator
DatasetIterator(Ops, Operand, Op, List, List) - Constructor for class org.tensorflow.framework.data.DatasetIterator
DatasetMetadata - Class in org.tensorflow.proto.data
DatasetMetadata.Metadata - Class in org.tensorflow.proto.data: next: 2
DatasetMetadata.Metadata.Builder - Class in org.tensorflow.proto.data: next: 2
DatasetMetadata.MetadataOrBuilder - Interface in org.tensorflow.proto.data
DatasetOptional - Class in org.tensorflow.framework.data: An optional represents the result of a dataset getNext operation that may fail, when the end of the dataset has been reached.
DatasetOptional(DatasetOptional) - Constructor for class org.tensorflow.framework.data.DatasetOptional: Creates a Dataset that is a copy of another Dataset
DatasetOptional(Ops, Operand, List, List) - Constructor for class org.tensorflow.framework.data.DatasetOptional: Creates a DatasetOptional dataset
DatasetOptions - Class in org.tensorflow.proto.data
DatasetOptions.AutoShardPolicy - Enum in org.tensorflow.proto.data: Represents the type of auto-sharding we enable.
DatasetOptions.AutotuneOptions - Class in org.tensorflow.proto.data: next: 6
DatasetOptions.AutotuneOptions.Builder - Class in org.tensorflow.proto.data: next: 6
DatasetOptions.AutotuneOptions.OptionalAutotuneAlgorithmCase - Enum in org.tensorflow.proto.data
DatasetOptions.AutotuneOptions.OptionalCpuBudgetCase - Enum in org.tensorflow.proto.data
DatasetOptions.AutotuneOptions.OptionalEnabledCase - Enum in org.tensorflow.proto.data
DatasetOptions.AutotuneOptions.OptionalInitialParallelismCase - Enum in org.tensorflow.proto.data
DatasetOptions.AutotuneOptions.OptionalRamBudgetCase - Enum in org.tensorflow.proto.data
DatasetOptions.AutotuneOptionsOrBuilder - Interface in org.tensorflow.proto.data
DatasetOptions.CardinalityOptions - Class in org.tensorflow.proto.data: next: 2
DatasetOptions.CardinalityOptions.Builder - Class in org.tensorflow.proto.data: next: 2
DatasetOptions.CardinalityOptions.ComputeLevel - Enum in org.tensorflow.proto.data: Protobuf enum tensorflow.data.CardinalityOptions.ComputeLevel
DatasetOptions.CardinalityOptionsOrBuilder - Interface in org.tensorflow.proto.data
DatasetOptions.DistributeOptions - Class in org.tensorflow.proto.data: next: 3
DatasetOptions.DistributeOptions.Builder - Class in org.tensorflow.proto.data: next: 3
DatasetOptions.DistributeOptions.OptionalNumDevicesCase - Enum in org.tensorflow.proto.data
DatasetOptions.DistributeOptionsOrBuilder - Interface in org.tensorflow.proto.data
DatasetOptions.ExternalStatePolicy - Enum in org.tensorflow.proto.data: Represents how to handle external state during serialization.
DatasetOptions.OptimizationOptions - Class in org.tensorflow.proto.data: next: 22
DatasetOptions.OptimizationOptions.Builder - Class in org.tensorflow.proto.data: next: 22
DatasetOptions.OptimizationOptions.OptionalApplyDefaultOptimizationsCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptimizationOptions.OptionalFilterFusionCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptimizationOptions.OptionalFilterParallelizationCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptimizationOptions.OptionalInjectPrefetchCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptimizationOptions.OptionalMapAndBatchFusionCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptimizationOptions.OptionalMapAndFilterFusionCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptimizationOptions.OptionalMapFusionCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptimizationOptions.OptionalMapParallelizationCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptimizationOptions.OptionalNoopEliminationCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptimizationOptions.OptionalParallelBatchCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptimizationOptions.OptionalSeqInterleavePrefetchCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptimizationOptions.OptionalShuffleAndRepeatFusionCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptimizationOptionsOrBuilder - Interface in org.tensorflow.proto.data
DatasetOptions.Options - Class in org.tensorflow.proto.data: Message stored with Dataset objects to control how datasets are processed and optimized. next: 13
DatasetOptions.Options.Builder - Class in org.tensorflow.proto.data: Message stored with Dataset objects to control how datasets are processed and optimized. next: 13
DatasetOptions.Options.OptionalDatasetNameCase - Enum in org.tensorflow.proto.data
DatasetOptions.Options.OptionalDeterministicCase - Enum in org.tensorflow.proto.data
DatasetOptions.Options.OptionalExternalStatePolicyCase - Enum in org.tensorflow.proto.data
DatasetOptions.Options.OptionalSlackCase - Enum in org.tensorflow.proto.data
DatasetOptions.Options.OptionalSymbolicCheckpointCase - Enum in org.tensorflow.proto.data
DatasetOptions.Options.OptionalWarmStartCase - Enum in org.tensorflow.proto.data
DatasetOptions.OptionsOrBuilder - Interface in org.tensorflow.proto.data
DatasetOptions.ServiceOptions - Class in org.tensorflow.proto.data: next: 2
DatasetOptions.ServiceOptions.Builder - Class in org.tensorflow.proto.data: next: 2
DatasetOptions.ServiceOptions.OptionalPinnedCase - Enum in org.tensorflow.proto.data
DatasetOptions.ServiceOptionsOrBuilder - Interface in org.tensorflow.proto.data
DatasetOptions.ThreadingOptions - Class in org.tensorflow.proto.data: next: 3
DatasetOptions.ThreadingOptions.Builder - Class in org.tensorflow.proto.data: next: 3
DatasetOptions.ThreadingOptions.OptionalMaxIntraOpParallelismCase - Enum in org.tensorflow.proto.data
DatasetOptions.ThreadingOptions.OptionalPrivateThreadpoolSizeCase - Enum in org.tensorflow.proto.data
DatasetOptions.ThreadingOptionsOrBuilder - Interface in org.tensorflow.proto.data
datasetToGraph(Operand, DatasetToGraph.Options...) - Method in class org.tensorflow.op.DataOps: Returns a serialized GraphDef representing input_dataset.
DatasetToGraph - Class in org.tensorflow.op.data: Returns a serialized GraphDef representing input_dataset.
DatasetToGraph(Operation) - Constructor for class org.tensorflow.op.data.DatasetToGraph
DatasetToGraph.Inputs - Class in org.tensorflow.op.data
DatasetToGraph.Options - Class in org.tensorflow.op.data: Optional attributes for DatasetToGraph
datasetToSingleElement(Operand, List, List, DatasetToSingleElement.Options...) - Method in class org.tensorflow.op.DataOps: Outputs the single element from the given dataset.
DatasetToSingleElement - Class in org.tensorflow.op.data: Outputs the single element from the given dataset.
DatasetToSingleElement(Operation) - Constructor for class org.tensorflow.op.data.DatasetToSingleElement
DatasetToSingleElement.Inputs - Class in org.tensorflow.op.data
DatasetToSingleElement.Options - Class in org.tensorflow.op.data: Optional attributes for DatasetToSingleElement
datasetToTfRecord(Operand, Operand, Operand) - Method in class org.tensorflow.op.DataOps: Writes the given dataset to the given file using the TFRecord format.
datasetToTFRecord(Operand, Operand, Operand) - Method in class org.tensorflow.op.DataExperimentalOps: Writes the given dataset to the given file using the TFRecord format.
DatasetToTfRecord - Class in org.tensorflow.op.data: Writes the given dataset to the given file using the TFRecord format.
DatasetToTfRecord(Operation) - Constructor for class org.tensorflow.op.data.DatasetToTfRecord
DatasetToTFRecord - Class in org.tensorflow.op.data.experimental: Writes the given dataset to the given file using the TFRecord format.
DatasetToTFRecord(Operation) - Constructor for class org.tensorflow.op.data.experimental.DatasetToTFRecord
DatasetToTfRecord.Inputs - Class in org.tensorflow.op.data
DatasetToTFRecord.Inputs - Class in org.tensorflow.op.data.experimental
dataSourceName - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: A connection string to connect to the database.
dataSourceName - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: A connection string to connect to the database.
dataSplits - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The splits tensor of the ragged string tensor to make ngrams out of.
dataTransferProtocol - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The dataTransferProtocol attribute
dataTransferProtocol(String) - Static method in class org.tensorflow.op.data.DataServiceDataset: Sets the dataTransferProtocol option.
dataTransferProtocol(String) - Method in class org.tensorflow.op.data.DataServiceDataset.Options: Sets the dataTransferProtocol option.
dataType - Variable in class org.tensorflow.Signature.TensorDescription: The data type of the tensor
dataType() - Method in class org.tensorflow.Output: Returns the DataType of the tensor referred to by this Output.
dataType() - Method in class org.tensorflow.RawTensor
dataType() - Method in interface org.tensorflow.Tensor: Returns the DataType of elements stored in the tensor.
dataType() - Element in annotation type org.tensorflow.types.annotation.TensorType: The data type of each elements in a tensor of this type
DataType - Enum in org.tensorflow.proto: (== suppress_warning documentation-presence ==) LINT.IfChange
DATATYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SerializedDType
dawsn(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The Dawsn operation
Dawsn<T> - Class in org.tensorflow.op.math.special: The Dawsn operation
Dawsn(Operation) - Constructor for class org.tensorflow.op.math.special.Dawsn
Dawsn.Inputs<T> - Class in org.tensorflow.op.math.special
db() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets db. 1D backprop tensor for beta.
dbUri - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The dbUri input
dCBar() - Method in class org.tensorflow.op.nn.GRUBlockCellGrad: Gets dCBar.
DCOMPLEX_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
dctCoefficientCount - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: How many output channels to produce per time slice.
dctCoefficientCount(Long) - Static method in class org.tensorflow.op.audio.Mfcc: Sets the dctCoefficientCount option.
dctCoefficientCount(Long) - Method in class org.tensorflow.op.audio.Mfcc.Options: Sets the dctCoefficientCount option.
dctMethod - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: string specifying a hint about the algorithm used for decompression.
dctMethod - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: string specifying a hint about the algorithm used for decompression.
dctMethod(String) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the dctMethod option.
dctMethod(String) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the dctMethod option.
dctMethod(String) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the dctMethod option.
dctMethod(String) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the dctMethod option.
dDefaultValue() - Method in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad: Gets dDefaultValue.
dDefaultValue() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad: Gets dDefaultValue. 0-D.
DEADLINE_EXCEEDED - Enum constant in enum org.tensorflow.proto.error.Code: Deadline expired before operation could complete.
DEADLINE_EXCEEDED_VALUE - Static variable in enum org.tensorflow.proto.error.Code: Deadline expired before operation could complete.
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_Buffer.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_Function.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_Graph.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_ImportGraphDefOptions.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_Session.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_SessionOptions.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_Status.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTF_Tensor.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTFE_Context.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTFE_ContextOptions.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTFE_Op.DeleteDeallocator
deallocate() - Method in class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle.DeleteDeallocator
Deallocator_Pointer() - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle.Deallocator_Pointer
Deallocator_Pointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle.Deallocator_Pointer: Pointer cast constructor.
Deallocator_Pointer_long_Pointer - Class in org.tensorflow.internal.c_api
Deallocator_Pointer_long_Pointer() - Constructor for class org.tensorflow.internal.c_api.Deallocator_Pointer_long_Pointer
Deallocator_Pointer_long_Pointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.Deallocator_Pointer_long_Pointer: Pointer cast constructor.
DEBUG_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDef
DEBUG_METADATA - Enum constant in enum org.tensorflow.proto.DebugEvent.WhatCase
DEBUG_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugEvent
DEBUG_OPS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugTensorWatch
DEBUG_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunOptions
DEBUG_STRIPPER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
DEBUG_TENSOR_WATCH_OPTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugOptions
DEBUG_URLS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugTensorWatch
DebugEvent - Class in org.tensorflow.proto: An Event related to the debugging of a TensorFlow program.
DebugEvent.Builder - Class in org.tensorflow.proto: An Event related to the debugging of a TensorFlow program.
DebugEvent.WhatCase - Enum in org.tensorflow.proto
DebugEventOrBuilder - Interface in org.tensorflow.proto
DebugEventProtos - Class in org.tensorflow.proto
DEBUGGED_DEVICE - Enum constant in enum org.tensorflow.proto.DebugEvent.WhatCase
DEBUGGED_DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugEvent
DEBUGGED_GRAPH - Enum constant in enum org.tensorflow.proto.DebugEvent.WhatCase
DEBUGGED_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugEvent
DebuggedDevice - Class in org.tensorflow.proto: A device on which ops and/or tensors are instrumented by the debugger.
DebuggedDevice.Builder - Class in org.tensorflow.proto: A device on which ops and/or tensors are instrumented by the debugger.
DebuggedDeviceOrBuilder - Interface in org.tensorflow.proto
DebuggedGraph - Class in org.tensorflow.proto: A debugger-instrumented graph.
DebuggedGraph.Builder - Class in org.tensorflow.proto: A debugger-instrumented graph.
DebuggedGraphOrBuilder - Interface in org.tensorflow.proto
DebuggedSourceFile - Class in org.tensorflow.proto: Protobuf type tensorflow.DebuggedSourceFile
DebuggedSourceFile.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.DebuggedSourceFile
DebuggedSourceFileOrBuilder - Interface in org.tensorflow.proto
DebuggedSourceFiles - Class in org.tensorflow.proto: Protobuf type tensorflow.DebuggedSourceFiles
DebuggedSourceFiles.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.DebuggedSourceFiles
DebuggedSourceFilesOrBuilder - Interface in org.tensorflow.proto
debugging - Variable in class org.tensorflow.op.Ops
DEBUGGING - Enum constant in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

Note: The logging level 10 cannot be named DEBUG.
DEBUGGING_VALUE - Static variable in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

Note: The logging level 10 cannot be named DEBUG.
DebuggingOps - Class in org.tensorflow.op: An API for building debugging operations as Ops
DebugGradientIdentity<T> - Class in org.tensorflow.op.debugging: Identity op for gradient debugging.
DebugGradientIdentity(Operation) - Constructor for class org.tensorflow.op.debugging.DebugGradientIdentity
DebugGradientIdentity.Inputs<T> - Class in org.tensorflow.op.debugging
DebugGradientRefIdentity<T> - Class in org.tensorflow.op.debugging: Identity op for gradient debugging.
DebugGradientRefIdentity(Operation) - Constructor for class org.tensorflow.op.debugging.DebugGradientRefIdentity
DebugGradientRefIdentity.Inputs<T> - Class in org.tensorflow.op.debugging
DebugIdentity<T> - Class in org.tensorflow.op.debugging: Provides an identity mapping of the non-Ref type input tensor for debugging.
DebugIdentity(Operation) - Constructor for class org.tensorflow.op.debugging.DebugIdentity
DebugIdentity.Inputs<T> - Class in org.tensorflow.op.debugging
DebugIdentity.Options - Class in org.tensorflow.op.debugging: Optional attributes for DebugIdentity
DebugMetadata - Class in org.tensorflow.proto: Metadata about the debugger and the debugged TensorFlow program.
DebugMetadata.Builder - Class in org.tensorflow.proto: Metadata about the debugger and the debugged TensorFlow program.
DebugMetadataOrBuilder - Interface in org.tensorflow.proto
debugName - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: the user-given name, which still applies in anonymous mode.
debugName - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A scalar or vector containing the names of the serialized protos.
debugName - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A scalar containing the name of the serialized proto.
debugName(String) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the debugName option.
debugName(String) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the debugName option.
DebugNanCount - Class in org.tensorflow.op.debugging: Debug NaN Value Counter Op.
DebugNanCount(Operation) - Constructor for class org.tensorflow.op.debugging.DebugNanCount
DebugNanCount.Inputs - Class in org.tensorflow.op.debugging
DebugNanCount.Options - Class in org.tensorflow.op.debugging: Optional attributes for DebugNanCount
DebugNumericsSummary - Class in org.tensorflow.op.debugging: Debug Numeric Summary V2 Op.
DebugNumericsSummary(Operation) - Constructor for class org.tensorflow.op.debugging.DebugNumericsSummary
DebugNumericsSummary.Inputs - Class in org.tensorflow.op.debugging
DebugNumericsSummary.Options - Class in org.tensorflow.op.debugging: Optional attributes for DebugNumericsSummary
debugOpsSpec - Variable in class org.tensorflow.op.core.Copy.Inputs: A list of debug op spec (op, url, gated_grpc) for attached debug ops.
debugOpsSpec - Variable in class org.tensorflow.op.core.CopyHost.Inputs: A list of debug op spec (op, url, gated_grpc) for attached debug ops.
debugOpsSpec(String...) - Static method in class org.tensorflow.op.core.Copy: Sets the debugOpsSpec option.
debugOpsSpec(String...) - Method in class org.tensorflow.op.core.Copy.Options: Sets the debugOpsSpec option.
debugOpsSpec(String...) - Static method in class org.tensorflow.op.core.CopyHost: Sets the debugOpsSpec option.
debugOpsSpec(String...) - Method in class org.tensorflow.op.core.CopyHost.Options: Sets the debugOpsSpec option.
debugOpsSpec(List) - Static method in class org.tensorflow.op.core.Copy: Sets the debugOpsSpec option.
debugOpsSpec(List) - Method in class org.tensorflow.op.core.Copy.Options: Sets the debugOpsSpec option.
debugOpsSpec(List) - Static method in class org.tensorflow.op.core.CopyHost: Sets the debugOpsSpec option.
debugOpsSpec(List) - Method in class org.tensorflow.op.core.CopyHost.Options: Sets the debugOpsSpec option.
DebugOptions - Class in org.tensorflow.proto: Options for initializing DebuggerState in TensorFlow Debugger (tfdbg).
DebugOptions.Builder - Class in org.tensorflow.proto: Options for initializing DebuggerState in TensorFlow Debugger (tfdbg).
DebugOptionsOrBuilder - Interface in org.tensorflow.proto
DebugProtos - Class in org.tensorflow.proto
DebugTensorWatch - Class in org.tensorflow.proto: Option for watching a node in TensorFlow Debugger (tfdbg).
DebugTensorWatch.Builder - Class in org.tensorflow.proto: Option for watching a node in TensorFlow Debugger (tfdbg).
DebugTensorWatchOrBuilder - Interface in org.tensorflow.proto
debugUrls - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: List of URLs to debug targets, e.g., file:///foo/tfdbg_dump, grpc:://localhost:11011
debugUrls - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: List of URLs to debug targets, e.g., file:///foo/tfdbg_dump, grpc:://localhost:11011.
debugUrls(String...) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the debugUrls option.
debugUrls(String...) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the debugUrls option.
debugUrls(String...) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the debugUrls option.
debugUrls(String...) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the debugUrls option.
debugUrls(List) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the debugUrls option.
debugUrls(List) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the debugUrls option.
debugUrls(List) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the debugUrls option.
debugUrls(List) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the debugUrls option.
DECAY_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.RMSProp
decodeAndCropJpeg(Operand, Operand, DecodeAndCropJpeg.Options...) - Method in class org.tensorflow.op.ImageOps: Decode and Crop a JPEG-encoded image to a uint8 tensor.
DecodeAndCropJpeg - Class in org.tensorflow.op.image: Decode and Crop a JPEG-encoded image to a uint8 tensor.
DecodeAndCropJpeg(Operation) - Constructor for class org.tensorflow.op.image.DecodeAndCropJpeg
DecodeAndCropJpeg.Inputs - Class in org.tensorflow.op.image
DecodeAndCropJpeg.Options - Class in org.tensorflow.op.image: Optional attributes for DecodeAndCropJpeg
decodeBase64(Operand) - Method in class org.tensorflow.op.IoOps: Decode web-safe base64-encoded strings.
DecodeBase64 - Class in org.tensorflow.op.io: Decode web-safe base64-encoded strings.
DecodeBase64(Operation) - Constructor for class org.tensorflow.op.io.DecodeBase64
DecodeBase64.Inputs - Class in org.tensorflow.op.io
decodeBmp(Operand, DecodeBmp.Options...) - Method in class org.tensorflow.op.ImageOps: Decode the first frame of a BMP-encoded image to a uint8 tensor.
DecodeBmp - Class in org.tensorflow.op.image: Decode the first frame of a BMP-encoded image to a uint8 tensor.
DecodeBmp(Operation) - Constructor for class org.tensorflow.op.image.DecodeBmp
DecodeBmp.Inputs - Class in org.tensorflow.op.image
DecodeBmp.Options - Class in org.tensorflow.op.image: Optional attributes for DecodeBmp
decodeCompressed(Operand, DecodeCompressed.Options...) - Method in class org.tensorflow.op.IoOps: Decompress strings.
DecodeCompressed - Class in org.tensorflow.op.io: Decompress strings.
DecodeCompressed(Operation) - Constructor for class org.tensorflow.op.io.DecodeCompressed
DecodeCompressed.Inputs - Class in org.tensorflow.op.io
DecodeCompressed.Options - Class in org.tensorflow.op.io: Optional attributes for DecodeCompressed
decodeCsv(Operand, Iterable, DecodeCsv.Options...) - Method in class org.tensorflow.op.IoOps: Convert CSV records to tensors.
DecodeCsv - Class in org.tensorflow.op.io: Convert CSV records to tensors.
DecodeCsv(Operation) - Constructor for class org.tensorflow.op.io.DecodeCsv
DecodeCsv.Inputs - Class in org.tensorflow.op.io
DecodeCsv.Options - Class in org.tensorflow.op.io: Optional attributes for DecodeCsv
decodedIndices() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Gets decodedIndices.
decodedIndices() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder: Gets decodedIndices.
decodedShape() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Gets decodedShape.
decodedShape() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder: Gets decodedShape.
decodedValues() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Gets decodedValues.
decodedValues() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder: Gets decodedValues.
decodeGif(Operand) - Method in class org.tensorflow.op.ImageOps: Decode the frame(s) of a GIF-encoded image to a uint8 tensor.
DecodeGif - Class in org.tensorflow.op.image: Decode the frame(s) of a GIF-encoded image to a uint8 tensor.
DecodeGif(Operation) - Constructor for class org.tensorflow.op.image.DecodeGif
DecodeGif.Inputs - Class in org.tensorflow.op.image
decodeImage(Operand, Class, DecodeImage.Options...) - Method in class org.tensorflow.op.ImageOps: Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.
decodeImage(Operand, DecodeImage.Options[]) - Method in class org.tensorflow.op.ImageOps: Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.
DecodeImage<T> - Class in org.tensorflow.op.image: Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.
DecodeImage(Operation) - Constructor for class org.tensorflow.op.image.DecodeImage
DecodeImage.Inputs - Class in org.tensorflow.op.image
DecodeImage.Options - Class in org.tensorflow.op.image: Optional attributes for DecodeImage
decodeJpeg(Operand, DecodeJpeg.Options...) - Method in class org.tensorflow.op.ImageOps: Decode a JPEG-encoded image to a uint8 tensor.
DecodeJpeg - Class in org.tensorflow.op.image: Decode a JPEG-encoded image to a uint8 tensor.
DecodeJpeg(Operation) - Constructor for class org.tensorflow.op.image.DecodeJpeg
DecodeJpeg.Inputs - Class in org.tensorflow.op.image
DecodeJpeg.Options - Class in org.tensorflow.op.image: Optional attributes for DecodeJpeg
decodeJsonExample(Operand) - Method in class org.tensorflow.op.IoOps: Convert JSON-encoded Example records to binary protocol buffer strings.
DecodeJsonExample - Class in org.tensorflow.op.io: Convert JSON-encoded Example records to binary protocol buffer strings.
DecodeJsonExample(Operation) - Constructor for class org.tensorflow.op.io.DecodeJsonExample
DecodeJsonExample.Inputs - Class in org.tensorflow.op.io
decodePaddedRaw(Operand, Operand, Class, DecodePaddedRaw.Options...) - Method in class org.tensorflow.op.IoOps: Reinterpret the bytes of a string as a vector of numbers.
DecodePaddedRaw<T> - Class in org.tensorflow.op.io: Reinterpret the bytes of a string as a vector of numbers.
DecodePaddedRaw(Operation) - Constructor for class org.tensorflow.op.io.DecodePaddedRaw
DecodePaddedRaw.Inputs - Class in org.tensorflow.op.io
DecodePaddedRaw.Options - Class in org.tensorflow.op.io: Optional attributes for DecodePaddedRaw
decodePng(Operand, Class, DecodePng.Options...) - Method in class org.tensorflow.op.ImageOps: Decode a PNG-encoded image to a uint8 or uint16 tensor.
decodePng(Operand, DecodePng.Options[]) - Method in class org.tensorflow.op.ImageOps: Decode a PNG-encoded image to a uint8 or uint16 tensor.
DecodePng<T> - Class in org.tensorflow.op.image: Decode a PNG-encoded image to a uint8 or uint16 tensor.
DecodePng(Operation) - Constructor for class org.tensorflow.op.image.DecodePng
DecodePng.Inputs - Class in org.tensorflow.op.image
DecodePng.Options - Class in org.tensorflow.op.image: Optional attributes for DecodePng
decodeProto(Operand, String, List, List, DecodeProto.Options...) - Method in class org.tensorflow.op.Ops: The op extracts fields from a serialized protocol buffers message into tensors.
DecodeProto - Class in org.tensorflow.op.core: The op extracts fields from a serialized protocol buffers message into tensors.
DecodeProto(Operation) - Constructor for class org.tensorflow.op.core.DecodeProto
DecodeProto.Inputs - Class in org.tensorflow.op.core
DecodeProto.Options - Class in org.tensorflow.op.core: Optional attributes for DecodeProto
decodeRaw(Operand, Class, DecodeRaw.Options...) - Method in class org.tensorflow.op.IoOps: Reinterpret the bytes of a string as a vector of numbers.
DecodeRaw<T> - Class in org.tensorflow.op.io: Reinterpret the bytes of a string as a vector of numbers.
DecodeRaw(Operation) - Constructor for class org.tensorflow.op.io.DecodeRaw
DecodeRaw.Inputs - Class in org.tensorflow.op.io
DecodeRaw.Options - Class in org.tensorflow.op.io: Optional attributes for DecodeRaw
decodeWav(Operand, DecodeWav.Options...) - Method in class org.tensorflow.op.AudioOps: Decode a 16-bit PCM WAV file to a float tensor.
DecodeWav - Class in org.tensorflow.op.audio: Decode a 16-bit PCM WAV file to a float tensor.
DecodeWav(Operation) - Constructor for class org.tensorflow.op.audio.DecodeWav
DecodeWav.Inputs - Class in org.tensorflow.op.audio
DecodeWav.Options - Class in org.tensorflow.op.audio: Optional attributes for DecodeWav
deduplicationData - Variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations.Inputs: A Tensor with type=DT_VARIANT containing the deduplication data.
deduplicationData - Variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs: A Tensor with type=DT_VARIANT containing the deduplication data.
deepCopy(Operand) - Method in class org.tensorflow.op.Ops: Makes a copy of x.
DeepCopy<T> - Class in org.tensorflow.op.core: Makes a copy of x.
DeepCopy(Operation) - Constructor for class org.tensorflow.op.core.DeepCopy
DeepCopy.Inputs<T> - Class in org.tensorflow.op.core
DEFAULT - Enum constant in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: DEFAULT = 0;
DEFAULT - Enum constant in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel: Default setting ("off" now, but later expected to be "on")
DEFAULT - Enum constant in enum org.tensorflow.proto.RewriterConfig.Toggle: DEFAULT = 0;
DEFAULT - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile: DEFAULT = 0;
DEFAULT - Enum constant in enum org.tensorflow.proto.VerifierConfig.Toggle: DEFAULT = 0;
DEFAULT - Enum constant in enum org.tensorflow.proto.WorkerShutdownMode: DEFAULT = 0;
DEFAULT_AXIS - Static variable in class org.tensorflow.framework.losses.CategoricalCrossentropy
DEFAULT_AXIS - Static variable in class org.tensorflow.framework.losses.CosineSimilarity
DEFAULT_AXIS - Static variable in class org.tensorflow.framework.metrics.CosineSimilarity
DEFAULT_K - Static variable in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy
DEFAULT_K - Static variable in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy
DEFAULT_KEY - Static variable in class org.tensorflow.Signature: The default signature key, when not provided
DEFAULT_MEM_OPT - Enum constant in enum org.tensorflow.proto.RewriterConfig.MemOptType: The default setting (SCHEDULING and SWAPPING HEURISTICS only)
DEFAULT_MEM_OPT_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.MemOptType: The default setting (SCHEDULING and SWAPPING HEURISTICS only)
DEFAULT_NAME - Static variable in class org.tensorflow.framework.metrics.AUC
DEFAULT_NUM_ITERS - Enum constant in enum org.tensorflow.proto.RewriterConfig.NumIterationsType: DEFAULT_NUM_ITERS = 0;
DEFAULT_NUM_ITERS_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.NumIterationsType: DEFAULT_NUM_ITERS = 0;
DEFAULT_NUM_THRESHOLDS - Static variable in class org.tensorflow.framework.metrics.AUC
DEFAULT_NUM_THRESHOLDS - Static variable in class org.tensorflow.framework.metrics.PrecisionAtRecall
DEFAULT_NUM_THRESHOLDS - Static variable in class org.tensorflow.framework.metrics.RecallAtPrecision
DEFAULT_NUM_THRESHOLDS - Static variable in class org.tensorflow.framework.metrics.SensitivityAtSpecificity
DEFAULT_NUM_THRESHOLDS - Static variable in class org.tensorflow.framework.metrics.SpecificityAtSensitivity
DEFAULT_REDUCTION - Static variable in class org.tensorflow.framework.losses.CosineSimilarity
DEFAULT_REGULARIZATION_PENALTY - Static variable in class org.tensorflow.framework.regularizers.AbstractRegularizer
DEFAULT_SESSION_CONFIG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ServerDef
DEFAULT_TAG - Static variable in class org.tensorflow.SavedModelBundle
DEFAULT_THRESHOLD - Static variable in class org.tensorflow.framework.metrics.BinaryAccuracy: the default threshold value for deciding whether prediction values are 1 or 0
DEFAULT_THRESHOLD - Static variable in class org.tensorflow.framework.metrics.FalseNegatives
DEFAULT_THRESHOLD - Static variable in class org.tensorflow.framework.metrics.FalsePositives
DEFAULT_THRESHOLD - Static variable in class org.tensorflow.framework.metrics.TrueNegatives
DEFAULT_THRESHOLD - Static variable in class org.tensorflow.framework.metrics.TruePositives
DEFAULT_THRESHOLD - Static variable in class org.tensorflow.framework.metrics.Precision
DEFAULT_THRESHOLD - Static variable in class org.tensorflow.framework.metrics.Recall
DEFAULT_VALUE - Static variable in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: DEFAULT = 0;
DEFAULT_VALUE - Static variable in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel: Default setting ("off" now, but later expected to be "on")
DEFAULT_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.Toggle: DEFAULT = 0;
DEFAULT_VALUE - Static variable in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile: DEFAULT = 0;
DEFAULT_VALUE - Static variable in enum org.tensorflow.proto.VerifierConfig.Toggle: DEFAULT = 0;
DEFAULT_VALUE - Static variable in enum org.tensorflow.proto.WorkerShutdownMode: DEFAULT = 0;
DEFAULT_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef.Attr
DEFAULT_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FixedLenFeatureProto
DEFAULT_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.AttrDef
DEFAULT_VISIBILITY - Enum constant in enum org.tensorflow.proto.ApiDef.Visibility: Normally this is "VISIBLE" unless you are inheriting a different value from another ApiDef.
DEFAULT_VISIBILITY_VALUE - Static variable in enum org.tensorflow.proto.ApiDef.Visibility: Normally this is "VISIBLE" unless you are inheriting a different value from another ApiDef.
DEFAULTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SignatureDef
defaultValue - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: The defaultValue input
defaultValue - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRows.Inputs: The defaultValue input
defaultValue - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The default_value when the shape is larger than the ragged tensor.
defaultValue - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: 0-D. default value to insert into location [row, 0, ..., 0] for rows missing from the input sparse tensor. output indices: 2-D. the indices of the filled sparse tensor.
defaultValue - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: Scalar value to set for indices not specified in sparse_indices.
DEFERRED_DELETION_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions
DEFERRED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogRawDeallocation
DELAY_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_Buffer: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_Function: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_Graph: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_ImportGraphDefOptions: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_Session: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_SessionOptions: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_Status: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTF_Tensor: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTFE_Context: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTFE_ContextOptions: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTFE_Op: Calls the deallocator, if registered, otherwise has no effect.
delete() - Method in class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle: Calls the deallocator, if registered, otherwise has no effect.
delete_device() - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
delete_device(TFE_CustomDevice.Delete_device_Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
Delete_device_Pointer() - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice.Delete_device_Pointer
Delete_device_Pointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice.Delete_device_Pointer: Pointer cast constructor.
deletedKey - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: The deletedKey input
deletedKey - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The deletedKey input
deleteIterator(Operand, Operand) - Method in class org.tensorflow.op.DataOps: A container for an iterator resource.
DeleteIterator - Class in org.tensorflow.op.data: A container for an iterator resource.
DeleteIterator(Operation) - Constructor for class org.tensorflow.op.data.DeleteIterator
DeleteIterator.Inputs - Class in org.tensorflow.op.data
deleteMemoryCache(Operand, Operand) - Method in class org.tensorflow.op.DataOps: The DeleteMemoryCache operation
DeleteMemoryCache - Class in org.tensorflow.op.data: The DeleteMemoryCache operation
DeleteMemoryCache(Operation) - Constructor for class org.tensorflow.op.data.DeleteMemoryCache
DeleteMemoryCache.Inputs - Class in org.tensorflow.op.data
deleteMultiDeviceIterator(Operand, Iterable, Operand) - Method in class org.tensorflow.op.DataOps: A container for an iterator resource.
DeleteMultiDeviceIterator - Class in org.tensorflow.op.data: A container for an iterator resource.
DeleteMultiDeviceIterator(Operation) - Constructor for class org.tensorflow.op.data.DeleteMultiDeviceIterator
DeleteMultiDeviceIterator.Inputs - Class in org.tensorflow.op.data
deleteOldDirs - Variable in class org.tensorflow.op.train.MergeV2Checkpoints.Inputs: see above.
deleteOldDirs(Boolean) - Static method in class org.tensorflow.op.train.MergeV2Checkpoints: Sets the deleteOldDirs option.
deleteOldDirs(Boolean) - Method in class org.tensorflow.op.train.MergeV2Checkpoints.Options: Sets the deleteOldDirs option.
deleter - Variable in class org.tensorflow.op.data.DeleteIterator.Inputs: A variant deleter.
deleter - Variable in class org.tensorflow.op.data.DeleteMemoryCache.Inputs: The deleter input
deleter - Variable in class org.tensorflow.op.data.DeleteMultiDeviceIterator.Inputs: A variant deleter.
deleter - Variable in class org.tensorflow.op.random.DeleteRandomSeedGenerator.Inputs: The deleter input
deleter - Variable in class org.tensorflow.op.random.DeleteSeedGenerator.Inputs: The deleter input
deleter() - Method in class org.tensorflow.op.data.AnonymousMemoryCache: Gets deleter.
deleter() - Method in class org.tensorflow.op.random.AnonymousRandomSeedGenerator: Gets deleter.
deleter() - Method in class org.tensorflow.op.random.AnonymousSeedGenerator: Gets deleter.
deleteRandomSeedGenerator(Operand, Operand) - Method in class org.tensorflow.op.RandomOps: The DeleteRandomSeedGenerator operation
DeleteRandomSeedGenerator - Class in org.tensorflow.op.random: The DeleteRandomSeedGenerator operation
DeleteRandomSeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.DeleteRandomSeedGenerator
DeleteRandomSeedGenerator.Inputs - Class in org.tensorflow.op.random
deleteSeedGenerator(Operand, Operand) - Method in class org.tensorflow.op.RandomOps: The DeleteSeedGenerator operation
DeleteSeedGenerator - Class in org.tensorflow.op.random: The DeleteSeedGenerator operation
DeleteSeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.DeleteSeedGenerator
DeleteSeedGenerator.Inputs - Class in org.tensorflow.op.random
deleteSessionTensor(Operand) - Method in class org.tensorflow.op.Ops: Delete the tensor specified by its handle in the session.
DeleteSessionTensor - Class in org.tensorflow.op.core: Delete the tensor specified by its handle in the session.
DeleteSessionTensor(Operation) - Constructor for class org.tensorflow.op.core.DeleteSessionTensor
DeleteSessionTensor.Inputs - Class in org.tensorflow.op.core
delimiter - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Delimiter to separate fields in a line.
delimiter(String) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile: Sets the delimiter option.
delimiter(String) - Method in class org.tensorflow.op.core.InitializeTableFromTextFile.Options: Sets the delimiter option.
delta - Variable in class org.tensorflow.op.core.For.Inputs: The increment.
delta - Variable in class org.tensorflow.op.core.Range.Inputs: 0-D (scalar).
delta - Variable in class org.tensorflow.op.image.AdjustHue.Inputs: A float delta to add to the hue.
delta - Variable in class org.tensorflow.op.random.RngReadAndSkip.Inputs: The amount of advancement.
delta - Variable in class org.tensorflow.op.random.RngSkip.Inputs: The amount of advancement.
delta - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: The change.
delta - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: The change.
delta - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: The change.
delta - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: The change.
DELTA_DEFAULT - Static variable in class org.tensorflow.framework.losses.Huber
deltas - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The deltas of each range.
dense - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: R-D.
dense - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: R-D.
dense - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: R-D.
dense() - Method in class org.tensorflow.op.sparse.SparseToDense: Gets dense.
DENSE_SHAPE_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorInfo.CooSparse
denseBincount(Operand, Operand, Operand, DenseBincount.Options...) - Method in class org.tensorflow.op.MathOps: Counts the number of occurrences of each value in an integer array.
DenseBincount - Class in org.tensorflow.op.math: Counts the number of occurrences of each value in an integer array.
DenseBincount(Operation) - Constructor for class org.tensorflow.op.math.DenseBincount
DenseBincount.Inputs<T,U> - Class in org.tensorflow.op.math
DenseBincount.Options - Class in org.tensorflow.op.math: Optional attributes for DenseBincount
denseCountSparseOutput(Operand, Operand, Boolean, DenseCountSparseOutput.Options...) - Method in class org.tensorflow.op.SparseOps: Performs sparse-output bin counting for a tf.tensor input.
DenseCountSparseOutput - Class in org.tensorflow.op.sparse: Performs sparse-output bin counting for a tf.tensor input.
DenseCountSparseOutput(Operation) - Constructor for class org.tensorflow.op.sparse.DenseCountSparseOutput
DenseCountSparseOutput.Inputs - Class in org.tensorflow.op.sparse
DenseCountSparseOutput.Options - Class in org.tensorflow.op.sparse: Optional attributes for DenseCountSparseOutput
denseDefaults - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A dict mapping string keys to Tensors.
denseDefaults - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A dict mapping string keys to Tensors.
denseDefaults - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of Tensors (some may be empty).
denseDefaults - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: A list of Tensors (some may be empty), whose length matches the length of dense_keys. dense_defaults[j] provides default values when the example's feature_map lacks dense_key[j].
denseFeatures - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of matrices which contains the dense feature values.
denseInput - Variable in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix.Inputs: A Dense tensor.
denseInputs - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The tf.Tensor inputs.
denseInputs - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: 2-D.
denseInputs - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: 2-D.
denseKeys - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A list of Ndense string Tensors (scalars).
denseKeys - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A list of Ndense string Tensors (scalars).
denseKeys - Variable in class org.tensorflow.op.io.ParseExample.Inputs: Vector of strings.
denseKeys - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: The keys expected in the Examples' features associated with dense values.
denseOutput() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense: Gets denseOutput.
denseOutputDim0 - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: dimension 0 of "data" passed to SparseSegmentMean op.
denseOutputDim0 - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: dimension 0 of "data" passed to SparseSegmentSqrtN op.
denseOutputDim0 - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: dimension 0 of "data" passed to SparseSegmentSum op.
denseShape - Variable in class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs: The denseShape input
denseShape - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros.Inputs: The desired matrix shape.
denseShape - Variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs: SparseTensor dense shape.
denseShape - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: 1D int64 Tensor.
denseShape - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Tensor containing the dense shape of the sparse tensor to count.
denseShape - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: 1-D. the shape of the sparse tensor.
denseShape() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: Gets denseShape.
denseShape() - Method in interface org.tensorflow.SparseTensor: Gets the sparse tensor dimensions defining the shape in that tensor in a dense space.
denseShapes - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: List of tuples with the same length as dense_keys.
denseShapes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: List of tuples with the same length as dense_keys.
denseShapes - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of num_dense shapes; the shapes of data in each Feature given in dense_keys (where num_dense = dense_keys.size()).
denseShapes - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: The shapes of data in each Feature given in dense_keys.
denseToCSRSparseMatrix(Operand, Operand) - Method in class org.tensorflow.op.LinalgSparseOps: Converts a dense tensor to a (possibly batched) CSRSparseMatrix.
DenseToCSRSparseMatrix - Class in org.tensorflow.op.linalg.sparse: Converts a dense tensor to a (possibly batched) CSRSparseMatrix.
DenseToCSRSparseMatrix(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix
DenseToCSRSparseMatrix.Inputs - Class in org.tensorflow.op.linalg.sparse
denseToDenseSetOperation(Operand, Operand, String, DenseToDenseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps: Applies set operation along last dimension of 2 Tensor inputs.
DenseToDenseSetOperation<T> - Class in org.tensorflow.op.sparse: Applies set operation along last dimension of 2 Tensor inputs.
DenseToDenseSetOperation(Operation) - Constructor for class org.tensorflow.op.sparse.DenseToDenseSetOperation
DenseToDenseSetOperation.Inputs<T> - Class in org.tensorflow.op.sparse
DenseToDenseSetOperation.Options - Class in org.tensorflow.op.sparse: Optional attributes for DenseToDenseSetOperation
denseToSparseBatchDataset(Operand, Operand, Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that batches input elements into a SparseTensor.
denseToSparseBatchDataset(Operand, Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: Creates a dataset that batches input elements into a SparseTensor.
DenseToSparseBatchDataset - Class in org.tensorflow.op.data: Creates a dataset that batches input elements into a SparseTensor.
DenseToSparseBatchDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that batches input elements into a SparseTensor.
DenseToSparseBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.DenseToSparseBatchDataset
DenseToSparseBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset
DenseToSparseBatchDataset.Inputs - Class in org.tensorflow.op.data
DenseToSparseBatchDataset.Inputs - Class in org.tensorflow.op.data.experimental
denseToSparseSetOperation(Operand, Operand, Operand, Operand, String, DenseToSparseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps: Applies set operation along last dimension of Tensor and SparseTensor.
DenseToSparseSetOperation<T> - Class in org.tensorflow.op.sparse: Applies set operation along last dimension of Tensor and SparseTensor.
DenseToSparseSetOperation(Operation) - Constructor for class org.tensorflow.op.sparse.DenseToSparseSetOperation
DenseToSparseSetOperation.Inputs<T> - Class in org.tensorflow.op.sparse
DenseToSparseSetOperation.Options - Class in org.tensorflow.op.sparse: Optional attributes for DenseToSparseSetOperation
denseTypes - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The denseTypes attribute
denseTypes - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: The denseTypes attribute
denseTypes - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: The denseTypes attribute
denseValues() - Method in class org.tensorflow.op.io.ParseExample: Gets denseValues.
denseValues() - Method in class org.tensorflow.op.io.ParseSingleExample: Gets denseValues.
denseValuesGrad() - Method in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient: Gets denseValuesGrad.
denseValuesShape - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: Shape of the dense_values that was used as an input to the RaggedTensorToVariant op.
denseWeights - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors where the values are the weights associated with a dense feature group.
densityUnit - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Unit used to specify x_density and y_density: pixels per inch ('in') or centimeter ('cm').
densityUnit(String) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the densityUnit option.
densityUnit(String) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the densityUnit option.
DEPENDENCIES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
DEPENDENCY_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
DEPLOYMENT_MODE_COLOCATED - Enum constant in enum org.tensorflow.proto.data.DataService.DeploymentMode: tf.data service workers colocate with TF workers.
DEPLOYMENT_MODE_COLOCATED_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.DeploymentMode: tf.data service workers colocate with TF workers.
DEPLOYMENT_MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DataService.DataServiceConfig
DEPLOYMENT_MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
DEPLOYMENT_MODE_HYBRID - Enum constant in enum org.tensorflow.proto.data.DataService.DeploymentMode: tf.data service workers run in colocated TF hosts and dedicated tf.data hosts.
DEPLOYMENT_MODE_HYBRID_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.DeploymentMode: tf.data service workers run in colocated TF hosts and dedicated tf.data hosts.
DEPLOYMENT_MODE_REMOTE - Enum constant in enum org.tensorflow.proto.data.DataService.DeploymentMode: tf.data service workers run in dedicated tf.data hosts.
DEPLOYMENT_MODE_REMOTE_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.DeploymentMode: tf.data service workers run in dedicated tf.data hosts.
DEPLOYMENT_MODE_UNSPECIFIED - Enum constant in enum org.tensorflow.proto.data.DataService.DeploymentMode: DEPLOYMENT_MODE_UNSPECIFIED = 0;
DEPLOYMENT_MODE_UNSPECIFIED_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.DeploymentMode: DEPLOYMENT_MODE_UNSPECIFIED = 0;
DEPRECATED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef.Endpoint
DEPRECATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
DEPRECATION_MESSAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
DEPRECATION_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
DEPRECATION_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef.Endpoint
depth - Variable in class org.tensorflow.op.core.OneHot.Inputs: A scalar defining the depth of the one hot dimension.
depthRadius - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: 0-D.
depthRadius - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: A depth radius.
depthRadius(Long) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Sets the depthRadius option.
depthRadius(Long) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options: Sets the depthRadius option.
depthRadius(Long) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Sets the depthRadius option.
depthRadius(Long) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options: Sets the depthRadius option.
depthToSpace(Operand, Long, DepthToSpace.Options...) - Method in class org.tensorflow.op.NnOps: DepthToSpace for tensors of type T.
DepthToSpace<T> - Class in org.tensorflow.op.nn: DepthToSpace for tensors of type T.
DepthToSpace(Operation) - Constructor for class org.tensorflow.op.nn.DepthToSpace
DepthToSpace.Inputs<T> - Class in org.tensorflow.op.nn
DepthToSpace.Options - Class in org.tensorflow.op.nn: Optional attributes for DepthToSpace
depthwiseConv2dNative(Operand, Operand, List, String, DepthwiseConv2dNative.Options...) - Method in class org.tensorflow.op.NnOps: Computes a 2-D depthwise convolution given 4-D input and filter tensors.
DepthwiseConv2dNative<T> - Class in org.tensorflow.op.nn: Computes a 2-D depthwise convolution given 4-D input and filter tensors.
DepthwiseConv2dNative(Operation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNative
DepthwiseConv2dNative.Inputs<T> - Class in org.tensorflow.op.nn
DepthwiseConv2dNative.Options - Class in org.tensorflow.op.nn: Optional attributes for DepthwiseConv2dNative
depthwiseConv2dNativeBackpropFilter(Operand, Operand, Operand, List, String, DepthwiseConv2dNativeBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of depthwise convolution with respect to the filter.
DepthwiseConv2dNativeBackpropFilter<T> - Class in org.tensorflow.op.nn: Computes the gradients of depthwise convolution with respect to the filter.
DepthwiseConv2dNativeBackpropFilter(Operation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter
DepthwiseConv2dNativeBackpropFilter.Inputs<T> - Class in org.tensorflow.op.nn
DepthwiseConv2dNativeBackpropFilter.Options - Class in org.tensorflow.op.nn: Optional attributes for DepthwiseConv2dNativeBackpropFilter
depthwiseConv2dNativeBackpropInput(Operand, Operand, Operand, List, String, DepthwiseConv2dNativeBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of depthwise convolution with respect to the input.
DepthwiseConv2dNativeBackpropInput<T> - Class in org.tensorflow.op.nn: Computes the gradients of depthwise convolution with respect to the input.
DepthwiseConv2dNativeBackpropInput(Operation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput
DepthwiseConv2dNativeBackpropInput.Inputs<T> - Class in org.tensorflow.op.nn
DepthwiseConv2dNativeBackpropInput.Options - Class in org.tensorflow.op.nn: Optional attributes for DepthwiseConv2dNativeBackpropInput
dequantize(Operand, Operand, Operand, Class, Dequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Dequantize the 'input' tensor into a float or bfloat16 Tensor.
dequantize(Operand, Operand, Operand, Dequantize.Options[]) - Method in class org.tensorflow.op.QuantizationOps: Dequantize the 'input' tensor into a float or bfloat16 Tensor.
Dequantize - Class in org.tensorflow.op.quantization: Dequantize the 'input' tensor into a float or bfloat16 Tensor.
Dequantize(Operation) - Constructor for class org.tensorflow.op.quantization.Dequantize
Dequantize.Inputs - Class in org.tensorflow.op.quantization
Dequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for Dequantize
describeByClass() - Element in annotation type org.tensorflow.op.annotation.Endpoint: Indicates that the class description should be copied in the documentation of this endpoint, instead of the description of the annotated method.
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef.Arg
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef.Attr
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.ArgDef
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.AttrDef
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
DESCRIPTION_PREFIX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
DESCRIPTION_SUFFIX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
descriptorSource - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Either the special value local:// or a path to a file containing a serialized FileDescriptorSet.
descriptorSource - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: The descriptorSource attribute
descriptorSource(String) - Static method in class org.tensorflow.op.core.DecodeProto: Sets the descriptorSource option.
descriptorSource(String) - Method in class org.tensorflow.op.core.DecodeProto.Options: Sets the descriptorSource option.
descriptorSource(String) - Static method in class org.tensorflow.op.core.EncodeProto: Sets the descriptorSource option.
descriptorSource(String) - Method in class org.tensorflow.op.core.EncodeProto.Options: Sets the descriptorSource option.
deserializeIterator(Operand, Operand) - Method in class org.tensorflow.op.DataOps: Converts the given variant tensor to an iterator and stores it in the given resource.
DeserializeIterator - Class in org.tensorflow.op.data: Converts the given variant tensor to an iterator and stores it in the given resource.
DeserializeIterator(Operation) - Constructor for class org.tensorflow.op.data.DeserializeIterator
DeserializeIterator.Inputs - Class in org.tensorflow.op.data
deserializeManySparse(Operand, Class) - Method in class org.tensorflow.op.IoOps: Deserialize and concatenate SparseTensors from a serialized minibatch.
DeserializeManySparse<T> - Class in org.tensorflow.op.io: Deserialize and concatenate SparseTensors from a serialized minibatch.
DeserializeManySparse(Operation) - Constructor for class org.tensorflow.op.io.DeserializeManySparse
DeserializeManySparse.Inputs - Class in org.tensorflow.op.io
deserializeSparse(Operand, Class) - Method in class org.tensorflow.op.SparseOps: Deserialize SparseTensor objects.
DeserializeSparse - Class in org.tensorflow.op.sparse: Deserialize SparseTensor objects.
DeserializeSparse(Operation) - Constructor for class org.tensorflow.op.sparse.DeserializeSparse
DeserializeSparse.Inputs - Class in org.tensorflow.op.sparse
desiredChannels - Variable in class org.tensorflow.op.audio.DecodeWav.Inputs: Number of sample channels wanted.
desiredChannels(Long) - Static method in class org.tensorflow.op.audio.DecodeWav: Sets the desiredChannels option.
desiredChannels(Long) - Method in class org.tensorflow.op.audio.DecodeWav.Options: Sets the desiredChannels option.
desiredSamples - Variable in class org.tensorflow.op.audio.DecodeWav.Inputs: Length of audio requested.
desiredSamples(Long) - Static method in class org.tensorflow.op.audio.DecodeWav: Sets the desiredSamples option.
desiredSamples(Long) - Method in class org.tensorflow.op.audio.DecodeWav.Options: Sets the desiredSamples option.
DESTINATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferInfo
destinationPrefix - Variable in class org.tensorflow.op.train.MergeV2Checkpoints.Inputs: scalar.
destroyResourceOp(Operand, DestroyResourceOp.Options...) - Method in class org.tensorflow.op.Ops: Deletes the resource specified by the handle.
DestroyResourceOp - Class in org.tensorflow.op.core: Deletes the resource specified by the handle.
DestroyResourceOp(Operation) - Constructor for class org.tensorflow.op.core.DestroyResourceOp
DestroyResourceOp.Inputs - Class in org.tensorflow.op.core
DestroyResourceOp.Options - Class in org.tensorflow.op.core: Optional attributes for DestroyResourceOp
destroyTemporaryVariable(Operand, String) - Method in class org.tensorflow.op.Ops: Destroys the temporary variable and returns its final value.
DestroyTemporaryVariable<T> - Class in org.tensorflow.op.core: Destroys the temporary variable and returns its final value.
DestroyTemporaryVariable(Operation) - Constructor for class org.tensorflow.op.core.DestroyTemporaryVariable
DestroyTemporaryVariable.Inputs<T> - Class in org.tensorflow.op.core
det(Operand) - Method in class org.tensorflow.op.LinalgOps: Computes the determinant of one or more square matrices.
Det<T> - Class in org.tensorflow.op.linalg: Computes the determinant of one or more square matrices.
Det(Operation) - Constructor for class org.tensorflow.op.linalg.Det
Det.Inputs<T> - Class in org.tensorflow.op.linalg
detach(Pointer) - Method in class org.tensorflow.internal.WeakPointerScope: Detach a pointer from this scope.
deterministic - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The deterministic attribute
deterministic - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The deterministic attribute
deterministic - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: A string indicating the op-level determinism to use.
deterministic - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: A string indicating the op-level determinism to use.
deterministic - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The deterministic attribute
deterministic - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A string indicating the op-level determinism to use.
deterministic - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: When set to True, a fixed pooling region will be used when iterating over a FractionalAvgPool node in the computation graph.
deterministic - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: When set to True, a fixed pooling region will be used when iterating over a FractionalMaxPool node in the computation graph.
deterministic(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the deterministic option.
deterministic(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the deterministic option.
deterministic(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the deterministic option.
deterministic(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: Sets the deterministic option.
deterministic(String) - Method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParallelBatchDataset: Sets the deterministic option.
deterministic(String) - Method in class org.tensorflow.op.data.ParallelBatchDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParallelFilterDataset: Sets the deterministic option.
deterministic(String) - Method in class org.tensorflow.op.data.ParallelFilterDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParallelInterleaveDataset: Sets the deterministic option.
deterministic(String) - Method in class org.tensorflow.op.data.ParallelInterleaveDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the deterministic option.
deterministic(String) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParseExampleDataset: Sets the deterministic option.
deterministic(String) - Method in class org.tensorflow.op.data.ParseExampleDataset.Options: Sets the deterministic option.
DETERMINISTIC - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDeterministicCase
DETERMINISTIC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.Options
DEV_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.StepStats
device() - Method in class org.tensorflow.GraphOperation: Get the op's device.
device() - Method in class org.tensorflow.op.data.experimental.IteratorGetDevice: Gets device.
device() - Method in class org.tensorflow.op.data.IteratorGetDevice: Gets device.
DEVICE_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceStepStats
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.eager.RemoteTensorHandle
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeDef
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpInfo
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ResourceHandleProto
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
DEVICE_FILTERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
DEVICE_FILTERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TaskDeviceFilters
DEVICE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedDevice
DEVICE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.InterconnectLink
DEVICE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MachineConfiguration
DEVICE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedDevice
DEVICE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphExecutionTrace
DEVICE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOpCreation
DEVICE_ORDINAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
DEVICE_PERSISTENT_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
DEVICE_PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
DEVICE_PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryStats
DEVICE_PERSISTENT_TENSOR_ALLOC_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryStats
DEVICE_TEMP_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
DEVICE_TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
DEVICE_TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryStats
DEVICE_TRACER_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceAttributes
DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.KernelDef
DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
deviceAssignment - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The assignment of devices for the computation.
deviceAssignment - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The assignment of devices for the computation.
deviceAssignment(Long...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the deviceAssignment option.
deviceAssignment(Long...) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the deviceAssignment option.
deviceAssignment(Long...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the deviceAssignment option.
deviceAssignment(Long...) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the deviceAssignment option.
deviceAssignment(List) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the deviceAssignment option.
deviceAssignment(List) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the deviceAssignment option.
deviceAssignment(List) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the deviceAssignment option.
deviceAssignment(List) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the deviceAssignment option.
DeviceAttributes - Class in org.tensorflow.proto: Protobuf type tensorflow.DeviceAttributes
DeviceAttributes.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.DeviceAttributes
DeviceAttributesOrBuilder - Interface in org.tensorflow.proto
DeviceAttributesProtos - Class in org.tensorflow.proto
DeviceFiltersProtos - Class in org.tensorflow.proto
deviceIndex - Variable in class org.tensorflow.op.collective.CollectiveAssignGroup.Inputs: The deviceIndex input
deviceIndex() - Method in class org.tensorflow.DeviceSpec
deviceIndex(Integer) - Method in class org.tensorflow.DeviceSpec.Builder
deviceIndex(List) - Method in class org.tensorflow.op.Ops: Return the index of device the op runs.
DeviceIndex - Class in org.tensorflow.op.core: Return the index of device the op runs.
DeviceIndex(Operation) - Constructor for class org.tensorflow.op.core.DeviceIndex
DeviceIndex.Inputs - Class in org.tensorflow.op.core
DeviceLocality - Class in org.tensorflow.proto: Protobuf type tensorflow.DeviceLocality
DeviceLocality.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.DeviceLocality
DeviceLocalityOrBuilder - Interface in org.tensorflow.proto
deviceName - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Name of the device on which the tensor resides.
deviceName - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: The deviceName attribute
deviceName(String) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the deviceName option.
deviceName(String) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the deviceName option.
deviceName(String) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the deviceName option.
deviceName(String) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the deviceName option.
deviceNames - Variable in class org.tensorflow.op.core.DeviceIndex.Inputs: The deviceNames attribute
deviceOrdinal - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The deviceOrdinal input
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.OutfeedDequeue.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTuple.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2.Inputs: An int scalar tensor, representing the TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.OutfeedDequeueV2.Inputs: An int scalar tensor, representing the TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The TPU device ordinal to run the function on.
deviceOrdinal() - Method in class org.tensorflow.op.tpu.TPURoundRobin: Gets deviceOrdinal.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.InfeedEnqueue.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.InfeedEnqueueTuple: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.OutfeedDequeue: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.OutfeedDequeue.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.OutfeedDequeueTuple: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.OutfeedDequeueTuple.Options: Sets the deviceOrdinal option.
deviceOrdinals() - Method in class org.tensorflow.op.tpu.OrdinalSelector: Gets deviceOrdinals.
devicePlacementPolicy(EagerSession.DevicePlacementPolicy) - Method in class org.tensorflow.EagerSession.Options: Controls how to act when we try to run an operation on a given device but some input tensors are not on that device.
DevicePropertiesProtos - Class in org.tensorflow.proto
DevicePropertiesProtos.DeviceProperties - Class in org.tensorflow.proto: Protobuf type tensorflow.DeviceProperties
DevicePropertiesProtos.DeviceProperties.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.DeviceProperties
DevicePropertiesProtos.DevicePropertiesOrBuilder - Interface in org.tensorflow.proto
DevicePropertiesProtos.NamedDevice - Class in org.tensorflow.proto: Protobuf type tensorflow.NamedDevice
DevicePropertiesProtos.NamedDevice.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.NamedDevice
DevicePropertiesProtos.NamedDeviceOrBuilder - Interface in org.tensorflow.proto
devices - Variable in class org.tensorflow.op.data.AnonymousMultiDeviceIterator.Inputs: The devices attribute
devices - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: A list of devices the iterator works across.
DeviceSpec - Class in org.tensorflow: Represents a (possibly partial) specification for a TensorFlow device.
DeviceSpec - Static variable in class org.tensorflow.generator.op.Names
DeviceSpec.Builder - Class in org.tensorflow: A Builder class for building DeviceSpec class.
DeviceSpec.DeviceType - Enum in org.tensorflow
DeviceStepStats - Class in org.tensorflow.proto: Protobuf type tensorflow.DeviceStepStats
DeviceStepStats.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.DeviceStepStats
DeviceStepStatsOrBuilder - Interface in org.tensorflow.proto
deviceType() - Method in class org.tensorflow.DeviceSpec
deviceType(DeviceSpec.DeviceType) - Method in class org.tensorflow.DeviceSpec.Builder
deviceVarReadsIndices - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The deviceVarReadsIndices attribute
deviceVarUpdatesIndices - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The deviceVarUpdatesIndices attribute
dg() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets dg. 1D backprop tensor for gamma.
dH - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The dH input
dHPrev() - Method in class org.tensorflow.op.nn.GRUBlockCellGrad: Gets dHPrev.
diagonal - Variable in class org.tensorflow.op.linalg.BatchMatrixDiag.Inputs: The diagonal input
diagonal - Variable in class org.tensorflow.op.linalg.BatchMatrixSetDiag.Inputs: The diagonal input
diagonal - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: Rank r, where r >= 1
diagonal - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: Rank r, where r >= 1
diagonal - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: Rank r when k is an integer or k[0] == k[1].
diagonal - Variable in class org.tensorflow.op.linalg.TensorDiag.Inputs: Rank k tensor where k is at most 1.
diagonal() - Method in class org.tensorflow.op.linalg.BatchMatrixDiagPart: Gets diagonal.
diagonal() - Method in class org.tensorflow.op.linalg.MatrixDiagPart: Gets diagonal.
diagonal() - Method in class org.tensorflow.op.linalg.MatrixDiagPartV3: Gets diagonal.
diagonal() - Method in class org.tensorflow.op.linalg.TensorDiagPart: Gets diagonal.
diagonals - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: Tensor of shape [..., 3, M] whose innermost 2 dimensions represent the tridiagonal matrices with three rows being the superdiagonal, diagonals, and subdiagonals, in order.
dicfo() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets dicfo.
DICT_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
DICT_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
difference(Scope, Operand, Operand) - Static method in class org.tensorflow.framework.op.sets.Sets: Computes set difference of elements in last dimension of a and b with aMinusB set to true.
difference(Scope, Operand, Operand, boolean) - Static method in class org.tensorflow.framework.op.sets.Sets: Computes set difference of elements in last dimension of a and b.
difference(Operand, Operand) - Method in class org.tensorflow.framework.op.SetOps: Computes set difference of elements in last dimension of a and b with aMinusB set to true.
difference(Operand, Operand, boolean) - Method in class org.tensorflow.framework.op.SetOps: Computes set difference of elements in last dimension of a and b.
digamma(Operand) - Method in class org.tensorflow.op.MathOps: Computes Psi, the derivative of Lgamma (the log of the absolute value of Gamma(x)), element-wise.
Digamma<T> - Class in org.tensorflow.op.math: Computes Psi, the derivative of Lgamma (the log of the absolute value of Gamma(x)), element-wise.
Digamma(Operation) - Constructor for class org.tensorflow.op.math.Digamma
Digamma.Inputs<T> - Class in org.tensorflow.op.math
dilation2d(Operand, Operand, List, List, String) - Method in class org.tensorflow.op.NnOps: Computes the grayscale dilation of 4-D input and 3-D filter tensors.
Dilation2d<T> - Class in org.tensorflow.op.nn: Computes the grayscale dilation of 4-D input and 3-D filter tensors.
Dilation2d(Operation) - Constructor for class org.tensorflow.op.nn.Dilation2d
Dilation2d.Inputs<T> - Class in org.tensorflow.op.nn
dilation2dBackpropFilter(Operand, Operand, Operand, List, List, String) - Method in class org.tensorflow.op.NnOps: Computes the gradient of morphological 2-D dilation with respect to the filter.
Dilation2dBackpropFilter<T> - Class in org.tensorflow.op.nn: Computes the gradient of morphological 2-D dilation with respect to the filter.
Dilation2dBackpropFilter(Operation) - Constructor for class org.tensorflow.op.nn.Dilation2dBackpropFilter
Dilation2dBackpropFilter.Inputs<T> - Class in org.tensorflow.op.nn
dilation2dBackpropInput(Operand, Operand, Operand, List, List, String) - Method in class org.tensorflow.op.NnOps: Computes the gradient of morphological 2-D dilation with respect to the input.
Dilation2dBackpropInput<T> - Class in org.tensorflow.op.nn: Computes the gradient of morphological 2-D dilation with respect to the input.
Dilation2dBackpropInput(Operation) - Constructor for class org.tensorflow.op.nn.Dilation2dBackpropInput
Dilation2dBackpropInput.Inputs<T> - Class in org.tensorflow.op.nn
dilations - Variable in class org.tensorflow.op.nn.Conv.Inputs: 1-D tensor of length N+2.
dilations - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: 1-D tensor of length 5.
dilations - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: 1-D tensor of length 5.
dilations - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: 1-D tensor of length 5.
dilations - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: list of dilation values.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: List of dilation values.
dilations - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: List of dilation values.
dilations - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: List of dilation values.
dilations - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: List of dilation values.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv3d: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv3d.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv3dBackpropInput.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2d: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2d.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.Conv: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.Conv3d: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.Conv3d.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.Conv3dBackpropInput.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2d: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedConv2d.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Options: Sets the dilations option.
dilations(List) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Sets the dilations option.
dilations(List) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options: Sets the dilations option.
dim - Variable in class org.tensorflow.op.math.SobolSample.Inputs: Positive scalar Tensor representing each sample's dimension.
dim() - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle
dim(TFE_CustomDeviceTensorHandle.Dim_Pointer_int_TF_Status) - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle
DIM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorShapeProto
Dim_Pointer_int_TF_Status() - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle.Dim_Pointer_int_TF_Status
Dim_Pointer_int_TF_Status(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle.Dim_Pointer_int_TF_Status: Pointer cast constructor.
dimension - Variable in class org.tensorflow.op.math.ArgMax.Inputs: int16, int32 or int64, must be in the range [-rank(input), rank(input)).
dimension - Variable in class org.tensorflow.op.math.ArgMin.Inputs: int32 or int64, must be in the range [-rank(input), rank(input)).
DIMENSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.AggregatedCost
dimensionNumbers - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: Structure of dimension information for the convolution op.
dimensionNumbers - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: Structure of dimension information for the convolution op.
dimensionNumbers(String) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the dimensionNumbers option.
dimensionNumbers(String) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the dimensionNumbers option.
dimensionNumbers(String) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the dimensionNumbers option.
dimensionNumbers(String) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the dimensionNumbers option.
dims - Variable in class org.tensorflow.op.core.Fill.Inputs: 1-D.
dims - Variable in class org.tensorflow.op.core.UnravelIndex.Inputs: An 1-D int Tensor.
dims() - Method in class org.tensorflow.internal.c_api.TF_ShapeAndType
dims(LongPointer) - Method in class org.tensorflow.internal.c_api.TF_ShapeAndType
directedInterleaveDataset(Operand, Iterable, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: A substitute for InterleaveDataset on a fixed list of N datasets.
directedInterleaveDataset(Operand, Iterable, List, List, DirectedInterleaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: A substitute for InterleaveDataset on a fixed list of N datasets.
DirectedInterleaveDataset - Class in org.tensorflow.op.data: A substitute for InterleaveDataset on a fixed list of N datasets.
DirectedInterleaveDataset - Class in org.tensorflow.op.data.experimental: A substitute for InterleaveDataset on a fixed list of N datasets.
DirectedInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.DirectedInterleaveDataset
DirectedInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.DirectedInterleaveDataset
DirectedInterleaveDataset.Inputs - Class in org.tensorflow.op.data
DirectedInterleaveDataset.Inputs - Class in org.tensorflow.op.data.experimental
DirectedInterleaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for DirectedInterleaveDataset
direction - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The direction attribute
direction - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The direction attribute
direction - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The direction attribute
direction - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The direction attribute
direction - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The direction attribute
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the direction option.
direction(String) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the direction option.
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the direction option.
direction(String) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the direction option.
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the direction option.
direction(String) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the direction option.
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the direction option.
direction(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the direction option.
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the direction option.
direction(String) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the direction option.
directory - Variable in class org.tensorflow.op.train.DistributedSave.Inputs: The directory input
DISABLE_EAGER_EXECUTOR_STREAMING_ENQUEUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
DISABLE_FUNCTIONAL_OPS_LOWERING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
DISABLE_META_OPTIMIZER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
DISABLE_MODEL_PRUNING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
DISABLE_OPTIMIZE_FOR_STATIC_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
DISABLE_OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
DISABLE_SESSION_CONNECTION_SHARING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RpcOptions.RPCOptions
DISABLE_TFG_OPTIMIZER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
DISABLE_THREAD_SPINNING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
disableCopyOnRead(Operand) - Method in class org.tensorflow.op.IoOps: Turns off the copy-on-read mode.
DisableCopyOnRead - Class in org.tensorflow.op.io: Turns off the copy-on-read mode.
DisableCopyOnRead(Operation) - Constructor for class org.tensorflow.op.io.DisableCopyOnRead
DisableCopyOnRead.Inputs - Class in org.tensorflow.op.io
DISALLOW_RETRY_ON_ALLOCATION_FAILURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
DISPATCHER_ADDRESS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
DISPATCHER_TIMEOUT_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
DISPLAY_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XLine
DISPLAY_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
DISPLAY_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XLine
DISPLAY_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SummaryMetadata
displayName - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: A human-readable name for the threads that may be visible in some visualizations. threadpool.
displayName - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: A human-readable name for the threads that may be visible in some visualizations. threadpool.
distances - Variable in class org.tensorflow.op.cluster.KMC2ChainInitialization.Inputs: Vector with squared distances to the closest previously sampled cluster center for each candidate point.
distortion - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: The distortion is used to skew the unigram probability distribution.
distortion(Float) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the distortion option.
distortion(Float) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the distortion option.
distribute - Variable in class org.tensorflow.op.Ops
DISTRIBUTE_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.Options
DistributedRuntimePayloads - Class in org.tensorflow.proto.distributed_runtime
DistributedRuntimePayloads.GrpcPayloadContainer - Class in org.tensorflow.proto.distributed_runtime: Used to serialize and transmit tensorflow::Status payloads through grpc::Status `error_details` since grpc::Status lacks payload API.
DistributedRuntimePayloads.GrpcPayloadContainer.Builder - Class in org.tensorflow.proto.distributed_runtime: Used to serialize and transmit tensorflow::Status payloads through grpc::Status `error_details` since grpc::Status lacks payload API.
DistributedRuntimePayloads.GrpcPayloadContainerOrBuilder - Interface in org.tensorflow.proto.distributed_runtime
DistributedRuntimePayloads.GrpcPayloadsLost - Class in org.tensorflow.proto.distributed_runtime: If included as a payload, this message flags the Status to have lost payloads during the GRPC transmission.
DistributedRuntimePayloads.GrpcPayloadsLost.Builder - Class in org.tensorflow.proto.distributed_runtime: If included as a payload, this message flags the Status to have lost payloads during the GRPC transmission.
DistributedRuntimePayloads.GrpcPayloadsLostOrBuilder - Interface in org.tensorflow.proto.distributed_runtime
DistributedRuntimePayloads.WorkerPossiblyRestarted - Class in org.tensorflow.proto.distributed_runtime: If included as a payload, this message flags the Status to be a possible outcome of a worker restart.
DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder - Class in org.tensorflow.proto.distributed_runtime: If included as a payload, this message flags the Status to be a possible outcome of a worker restart.
DistributedRuntimePayloads.WorkerPossiblyRestartedOrBuilder - Interface in org.tensorflow.proto.distributed_runtime
distributedSave(Operand, Operand, Operand, DistributedSave.Options...) - Method in class org.tensorflow.op.TrainOps: The DistributedSave operation
DistributedSave - Class in org.tensorflow.op.train: The DistributedSave operation
DistributedSave(Operation) - Constructor for class org.tensorflow.op.train.DistributedSave
DistributedSave.Inputs - Class in org.tensorflow.op.train
DistributedSave.Options - Class in org.tensorflow.op.train: Optional attributes for DistributedSave
DistributeOps - Class in org.tensorflow.op: An API for building distribute operations as Ops
DISTRIBUTION_DEFAULT - Static variable in class org.tensorflow.framework.initializers.VarianceScaling
div(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns x / y element-wise.
Div<T> - Class in org.tensorflow.op.math: Returns x / y element-wise.
Div(Operation) - Constructor for class org.tensorflow.op.math.Div
Div.Inputs<T> - Class in org.tensorflow.op.math
divNoNan(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns 0 if the denominator is zero.
DivNoNan<T> - Class in org.tensorflow.op.math: Returns 0 if the denominator is zero.
DivNoNan(Operation) - Constructor for class org.tensorflow.op.math.DivNoNan
DivNoNan.Inputs<T> - Class in org.tensorflow.op.math
dm() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets dm. 1D backprop tensor for mean.
DO_COMMON_SUBEXPRESSION_ELIMINATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizerOptions
DO_CONSTANT_FOLDING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizerOptions
DO_FUNCTION_INLINING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizerOptions
DO_NOT_USE_RESERVED_FOR_FUTURE_EXPANSION_USE_DEFAULT_IN_SWITCH_INSTEAD_ - Enum constant in enum org.tensorflow.proto.error.Code: An extra enum entry to prevent people from writing code that fails to compile when a new code is added.
DO_NOT_USE_RESERVED_FOR_FUTURE_EXPANSION_USE_DEFAULT_IN_SWITCH_INSTEAD__VALUE - Static variable in enum org.tensorflow.proto.error.Code: An extra enum entry to prevent people from writing code that fails to compile when a new code is added.
DOUBLE_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
DOUBLE_VALUE - Enum constant in enum org.tensorflow.proto.EntryValue.KindCase
DOUBLE_VALUE - Enum constant in enum org.tensorflow.proto.profiler.Xplane.XStat.ValueCase
DOUBLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.EntryValue
DOUBLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XStat
drawBoundingBoxes(Operand, Operand, Operand) - Method in class org.tensorflow.op.ImageOps: Draw bounding boxes on a batch of images.
DrawBoundingBoxes<T> - Class in org.tensorflow.op.image: Draw bounding boxes on a batch of images.
DrawBoundingBoxes(Operation) - Constructor for class org.tensorflow.op.image.DrawBoundingBoxes
DrawBoundingBoxes.Inputs<T> - Class in org.tensorflow.op.image
dRBarUBar() - Method in class org.tensorflow.op.nn.GRUBlockCellGrad: Gets dRBarUBar.
driverName - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: The database type.
driverName - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: The database type.
dropout - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The dropout attribute
dropout - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The dropout attribute
dropout - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The dropout attribute
dropout - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The dropout attribute
dropout - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The dropout attribute
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the dropout option.
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the dropout option.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the dropout option.
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the dropout option.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the dropout option.
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the dropout option.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the dropout option.
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the dropout option.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the dropout option.
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the dropout option.
dropRemainder - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
dropRemainder - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
dropRemainder - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
dropRemainder - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
dropRemainder - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The dropRemainder input
dropRemainder - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: The dropRemainder input
dropRemainder - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: The dropRemainder attribute
dropRemainder - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: A Boolean scalar, representing whether the last window should be dropped if its size is smaller than window_size.
dropRemainder(Boolean) - Static method in class org.tensorflow.op.data.SlidingWindowDataset: Sets the dropRemainder option.
dropRemainder(Boolean) - Method in class org.tensorflow.op.data.SlidingWindowDataset.Options: Sets the dropRemainder option.
dstFormat - Variable in class org.tensorflow.op.nn.DataFormatDimMap.Inputs: destination data format.
dstFormat - Variable in class org.tensorflow.op.nn.DataFormatVecPermute.Inputs: destination data format.
dstFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatDimMap: Sets the dstFormat option.
dstFormat(String) - Method in class org.tensorflow.op.nn.DataFormatDimMap.Options: Sets the dstFormat option.
dstFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute: Sets the dstFormat option.
dstFormat(String) - Method in class org.tensorflow.op.nn.DataFormatVecPermute.Options: Sets the dstFormat option.
DstT - Variable in class org.tensorflow.op.dtypes.Cast.Inputs: The DstT attribute
dt - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: The type of the tensor to be restored.
DT_BFLOAT16 - Enum constant in enum org.tensorflow.proto.DataType: Float32 truncated to 16 bits.
DT_BFLOAT16_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_BFLOAT16_REF = 114;
DT_BFLOAT16_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_BFLOAT16_REF = 114;
DT_BFLOAT16_VALUE - Static variable in enum org.tensorflow.proto.DataType: Float32 truncated to 16 bits.
DT_BOOL - Enum constant in enum org.tensorflow.proto.DataType: DT_BOOL = 10;
DT_BOOL_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_BOOL_REF = 110;
DT_BOOL_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_BOOL_REF = 110;
DT_BOOL_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_BOOL = 10;
DT_COMPLEX128 - Enum constant in enum org.tensorflow.proto.DataType: Double-precision complex
DT_COMPLEX128_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_COMPLEX128_REF = 118;
DT_COMPLEX128_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_COMPLEX128_REF = 118;
DT_COMPLEX128_VALUE - Static variable in enum org.tensorflow.proto.DataType: Double-precision complex
DT_COMPLEX64 - Enum constant in enum org.tensorflow.proto.DataType: Single-precision complex
DT_COMPLEX64_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_COMPLEX64_REF = 108;
DT_COMPLEX64_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_COMPLEX64_REF = 108;
DT_COMPLEX64_VALUE - Static variable in enum org.tensorflow.proto.DataType: Single-precision complex
DT_DOUBLE - Enum constant in enum org.tensorflow.proto.DataType: DT_DOUBLE = 2;
DT_DOUBLE_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_DOUBLE_REF = 102;
DT_DOUBLE_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_DOUBLE_REF = 102;
DT_DOUBLE_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_DOUBLE = 2;
DT_FLOAT - Enum constant in enum org.tensorflow.proto.DataType: Data types that all computation devices are expected to be capable to support.
DT_FLOAT_REF - Enum constant in enum org.tensorflow.proto.DataType: Do not use!
DT_FLOAT_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: Do not use!
DT_FLOAT_VALUE - Static variable in enum org.tensorflow.proto.DataType: Data types that all computation devices are expected to be capable to support.
DT_FLOAT8_E4M3FN - Enum constant in enum org.tensorflow.proto.DataType: 4 exponent bits, 3 mantissa bits, finite-only, with
DT_FLOAT8_E4M3FN_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_FLOAT8_E4M3FN_REF = 125;
DT_FLOAT8_E4M3FN_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_FLOAT8_E4M3FN_REF = 125;
DT_FLOAT8_E4M3FN_VALUE - Static variable in enum org.tensorflow.proto.DataType: 4 exponent bits, 3 mantissa bits, finite-only, with
DT_FLOAT8_E5M2 - Enum constant in enum org.tensorflow.proto.DataType: 5 exponent bits, 2 mantissa bits.
DT_FLOAT8_E5M2_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_FLOAT8_E5M2_REF = 124;
DT_FLOAT8_E5M2_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_FLOAT8_E5M2_REF = 124;
DT_FLOAT8_E5M2_VALUE - Static variable in enum org.tensorflow.proto.DataType: 5 exponent bits, 2 mantissa bits.
DT_HALF - Enum constant in enum org.tensorflow.proto.DataType: DT_HALF = 19;
DT_HALF_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_HALF_REF = 119;
DT_HALF_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_HALF_REF = 119;
DT_HALF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_HALF = 19;
DT_INT16 - Enum constant in enum org.tensorflow.proto.DataType: DT_INT16 = 5;
DT_INT16_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_INT16_REF = 105;
DT_INT16_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_INT16_REF = 105;
DT_INT16_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_INT16 = 5;
DT_INT32 - Enum constant in enum org.tensorflow.proto.DataType: DT_INT32 = 3;
DT_INT32_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_INT32_REF = 103;
DT_INT32_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_INT32_REF = 103;
DT_INT32_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_INT32 = 3;
DT_INT4 - Enum constant in enum org.tensorflow.proto.DataType: 2 NaNs (0bS1111111).
DT_INT4_REF - Enum constant in enum org.tensorflow.proto.DataType: TODO - b/299182407: Leaving room for remaining float8 types.
DT_INT4_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: TODO - b/299182407: Leaving room for remaining float8 types.
DT_INT4_VALUE - Static variable in enum org.tensorflow.proto.DataType: 2 NaNs (0bS1111111).
DT_INT64 - Enum constant in enum org.tensorflow.proto.DataType: DT_INT64 = 9;
DT_INT64_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_INT64_REF = 109;
DT_INT64_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_INT64_REF = 109;
DT_INT64_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_INT64 = 9;
DT_INT8 - Enum constant in enum org.tensorflow.proto.DataType: DT_INT8 = 6;
DT_INT8_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_INT8_REF = 106;
DT_INT8_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_INT8_REF = 106;
DT_INT8_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_INT8 = 6;
DT_INVALID - Enum constant in enum org.tensorflow.proto.DataType: Not a legal value for DataType.
DT_INVALID_VALUE - Static variable in enum org.tensorflow.proto.DataType: Not a legal value for DataType.
DT_QINT16 - Enum constant in enum org.tensorflow.proto.DataType: Quantized int16
DT_QINT16_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_QINT16_REF = 115;
DT_QINT16_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_QINT16_REF = 115;
DT_QINT16_VALUE - Static variable in enum org.tensorflow.proto.DataType: Quantized int16
DT_QINT32 - Enum constant in enum org.tensorflow.proto.DataType: Quantized int32
DT_QINT32_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_QINT32_REF = 113;
DT_QINT32_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_QINT32_REF = 113;
DT_QINT32_VALUE - Static variable in enum org.tensorflow.proto.DataType: Quantized int32
DT_QINT8 - Enum constant in enum org.tensorflow.proto.DataType: Quantized int8
DT_QINT8_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_QINT8_REF = 111;
DT_QINT8_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_QINT8_REF = 111;
DT_QINT8_VALUE - Static variable in enum org.tensorflow.proto.DataType: Quantized int8
DT_QUINT16 - Enum constant in enum org.tensorflow.proto.DataType: Quantized uint16
DT_QUINT16_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_QUINT16_REF = 116;
DT_QUINT16_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_QUINT16_REF = 116;
DT_QUINT16_VALUE - Static variable in enum org.tensorflow.proto.DataType: Quantized uint16
DT_QUINT8 - Enum constant in enum org.tensorflow.proto.DataType: Quantized uint8
DT_QUINT8_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_QUINT8_REF = 112;
DT_QUINT8_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_QUINT8_REF = 112;
DT_QUINT8_VALUE - Static variable in enum org.tensorflow.proto.DataType: Quantized uint8
DT_RESOURCE - Enum constant in enum org.tensorflow.proto.DataType: DT_RESOURCE = 20;
DT_RESOURCE_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_RESOURCE_REF = 120;
DT_RESOURCE_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_RESOURCE_REF = 120;
DT_RESOURCE_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_RESOURCE = 20;
DT_STRING - Enum constant in enum org.tensorflow.proto.DataType: DT_STRING = 7;
DT_STRING_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_STRING_REF = 107;
DT_STRING_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_STRING_REF = 107;
DT_STRING_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_STRING = 7;
DT_UINT16 - Enum constant in enum org.tensorflow.proto.DataType: DT_UINT16 = 17;
DT_UINT16_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_UINT16_REF = 117;
DT_UINT16_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_UINT16_REF = 117;
DT_UINT16_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_UINT16 = 17;
DT_UINT32 - Enum constant in enum org.tensorflow.proto.DataType: DT_UINT32 = 22;
DT_UINT32_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_UINT32_REF = 122;
DT_UINT32_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_UINT32_REF = 122;
DT_UINT32_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_UINT32 = 22;
DT_UINT4 - Enum constant in enum org.tensorflow.proto.DataType: DT_UINT4 = 30;
DT_UINT4_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_UINT4_REF = 130;
DT_UINT4_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_UINT4_REF = 130;
DT_UINT4_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_UINT4 = 30;
DT_UINT64 - Enum constant in enum org.tensorflow.proto.DataType: DT_UINT64 = 23;
DT_UINT64_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_UINT64_REF = 123;
DT_UINT64_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_UINT64_REF = 123;
DT_UINT64_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_UINT64 = 23;
DT_UINT8 - Enum constant in enum org.tensorflow.proto.DataType: DT_UINT8 = 4;
DT_UINT8_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_UINT8_REF = 104;
DT_UINT8_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_UINT8_REF = 104;
DT_UINT8_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_UINT8 = 4;
DT_VARIANT - Enum constant in enum org.tensorflow.proto.DataType: Arbitrary C++ data types
DT_VARIANT_REF - Enum constant in enum org.tensorflow.proto.DataType: DT_VARIANT_REF = 121;
DT_VARIANT_REF_VALUE - Static variable in enum org.tensorflow.proto.DataType: DT_VARIANT_REF = 121;
DT_VARIANT_VALUE - Static variable in enum org.tensorflow.proto.DataType: Arbitrary C++ data types
dTensorRestore(Operand, Operand, Operand, List, List, List) - Method in class org.tensorflow.op.TpuOps: The DTensorRestoreV2 operation
DTensorRestore - Class in org.tensorflow.op.tpu: The DTensorRestoreV2 operation
DTensorRestore(Operation) - Constructor for class org.tensorflow.op.tpu.DTensorRestore
DTensorRestore.Inputs - Class in org.tensorflow.op.tpu
dtype - Variable in class org.tensorflow.op.core.AssignAddVariableOp.Inputs: the dtype of the value.
dtype - Variable in class org.tensorflow.op.core.AssignSubVariableOp.Inputs: the dtype of the value.
dtype - Variable in class org.tensorflow.op.core.AssignVariableOp.Inputs: the dtype of the value.
dtype - Variable in class org.tensorflow.op.core.Empty.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.FakeParam.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.core.GetSessionTensor.Inputs: The type of the output value.
dtype - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.HostConst.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ImmutableConst.Inputs: Type of the returned tensor.
dtype - Variable in class org.tensorflow.op.core.IsVariableInitialized.Inputs: The type of elements in the variable tensor.
dtype - Variable in class org.tensorflow.op.core.Placeholder.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.core.PlaceholderWithDefault.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.core.RandomIndexShuffle.Inputs: The dtype of the input and output.
dtype - Variable in class org.tensorflow.op.core.ReadVariableOp.Inputs: the dtype of the value.
dtype - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceGatherNd.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.TemporaryVariable.Inputs: The type of elements in the variable tensor.
dtype - Variable in class org.tensorflow.op.core.TensorArray.Inputs: The type of the elements on the tensor_array.
dtype - Variable in class org.tensorflow.op.core.TensorArrayConcat.Inputs: The type of the elem that is returned.
dtype - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: The type of the elem that is returned.
dtype - Variable in class org.tensorflow.op.core.TensorArrayPack.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.TensorArrayRead.Inputs: The type of the elem that is returned.
dtype - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: the type of this variable.
dtype - Variable in class org.tensorflow.op.core.Variable.Inputs: The type of elements in the variable tensor.
dtype - Variable in class org.tensorflow.op.image.DecodeImage.Inputs: The desired DType of the returned Tensor.
dtype - Variable in class org.tensorflow.op.image.DecodePng.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: Input dtype.
dtype - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: Input dtype.
dtype - Variable in class org.tensorflow.op.io.DeserializeManySparse.Inputs: The dtype of the serialized SparseTensor objects.
dtype - Variable in class org.tensorflow.op.math.SobolSample.Inputs: The type of the sample.
dtype - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: Type of the output tensor.
dtype - Variable in class org.tensorflow.op.random.NonDeterministicInts.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.sparse.DeserializeSparse.Inputs: The dtype of the serialized SparseTensor objects.
dtype - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: The type of the value being accumulated.
dtype - Variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs: The dtype of the SparseTensor objects stored in the SparseTensorsMap.
dtype - Variable in class org.tensorflow.op.tpu.InfeedDequeue.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.tpu.OutfeedDequeue.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.tpu.OutfeedDequeueV2.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.tpu.OutfeedEnqueue.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.tpu.Prelinearize.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.train.AccumulatorTakeGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: The type of the value being accumulated.
dtype - Variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: The type of the value being accumulated.
dtype() - Method in class org.tensorflow.internal.c_api.TF_ShapeAndType
dtype(int) - Method in class org.tensorflow.internal.c_api.TF_ShapeAndType
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BundleEntryProto
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.eager.RemoteTensorHandle
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.eager.ResourceDtypeAndShape
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FixedLenFeatureProto
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferConstNodeInfo
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.TensorSpecProto
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorDescription
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorInfo
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
DTYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VarLenFeatureProto
dtypes - Variable in class org.tensorflow.op.core.MapClear.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapStage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.Stage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.StageClear.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.StageSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.Unstage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.Ops
dtypes - Variable in class org.tensorflow.op.tpu.DTensorRestore.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.tpu.InfeedDequeueTuple.Inputs: The element types of each element in outputs.
dtypes - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: The element types of each element in inputs.
dtypes - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTuple.Inputs: The element types of each element in outputs.
dtypes - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2.Inputs: The element types of each element in outputs.
dtypes - Variable in class org.tensorflow.op.tpu.OutfeedEnqueueTuple.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs: The element types of each element in inputs.
dtypes - Variable in class org.tensorflow.op.train.Restore.Inputs: shape {N}.
dtypes - Variable in class org.tensorflow.op.train.Save.Inputs: The dtypes attribute
DTYPES_AND_SHAPES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ResourceHandleProto
DtypesOps - Class in org.tensorflow.op: An API for building dtypes operations as Ops
dummyDeallocator - Static variable in class org.tensorflow.internal.c_api.AbstractTF_Tensor: TensorFlow crashes if we don't pass it a deallocator, so...
dummyIterationCounter() - Method in class org.tensorflow.op.DataOps: The DummyIterationCounter operation
DummyIterationCounter - Class in org.tensorflow.op.data: The DummyIterationCounter operation
DummyIterationCounter(Operation) - Constructor for class org.tensorflow.op.data.DummyIterationCounter
DummyIterationCounter.Inputs - Class in org.tensorflow.op.data
dummyMemoryCache() - Method in class org.tensorflow.op.Ops: The DummyMemoryCache operation
DummyMemoryCache - Class in org.tensorflow.op.core: The DummyMemoryCache operation
DummyMemoryCache(Operation) - Constructor for class org.tensorflow.op.core.DummyMemoryCache
DummyMemoryCache.Inputs - Class in org.tensorflow.op.core
dummySeedGenerator() - Method in class org.tensorflow.op.RandomOps: The DummySeedGenerator operation
DummySeedGenerator - Class in org.tensorflow.op.random: The DummySeedGenerator operation
DummySeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.DummySeedGenerator
DummySeedGenerator.Inputs - Class in org.tensorflow.op.random
DURATION_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
DURATION_PS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XEvent
DURATION_PS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XLine
dv() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets dv. 1D backprop tensor for variance.
dValues() - Method in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad: Gets dValues.
dValues() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad: Gets dValues. 1-D.
dx() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets dx. 4D backprop tensor for input.
dx(Iterable) - Static method in class org.tensorflow.op.core.Gradients
dx(Iterable) - Method in class org.tensorflow.op.core.Gradients.Options
dX() - Method in class org.tensorflow.op.nn.GRUBlockCellGrad: Gets dX.
dy - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.ReciprocalGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.RsqrtGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.SigmoidGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.SqrtGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.TanhGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.nn.InvGrad.Inputs: The dy input
dy() - Method in class org.tensorflow.op.core.Gradients: Partial derivatives of ys w.r.t.
dy(int) - Method in class org.tensorflow.op.core.Gradients: Returns a symbolic handle to one of the gradient operation output
DYNAMIC - Enum constant in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: The input dataset is dynamically split among workers at runtime.
DYNAMIC_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: The input dataset is dynamically split among workers at runtime.
dynamicEnqueueTPUEmbeddingArbitraryTensorBatch(Iterable, Iterable, Iterable, Operand, Operand, DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Options...) - Method in class org.tensorflow.op.TpuOps: Eases the porting of code that uses tf.nn.embedding_lookup_sparse().
DynamicEnqueueTPUEmbeddingArbitraryTensorBatch - Class in org.tensorflow.op.tpu: Eases the porting of code that uses tf.nn.embedding_lookup_sparse(). embedding_indices[i] and aggregation_weights[i] correspond to the ith feature.
DynamicEnqueueTPUEmbeddingArbitraryTensorBatch(Operation) - Constructor for class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch
DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs - Class in org.tensorflow.op.tpu
DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for DynamicEnqueueTPUEmbeddingArbitraryTensorBatch
dynamicEnqueueTPUEmbeddingRaggedTensorBatch(Iterable, Iterable, Iterable, Operand, Operand, List, DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options...) - Method in class org.tensorflow.op.TpuOps: The DynamicEnqueueTPUEmbeddingRaggedTensorBatch operation
DynamicEnqueueTPUEmbeddingRaggedTensorBatch - Class in org.tensorflow.op.tpu: The DynamicEnqueueTPUEmbeddingRaggedTensorBatch operation
DynamicEnqueueTPUEmbeddingRaggedTensorBatch(Operation) - Constructor for class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch
DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs - Class in org.tensorflow.op.tpu
DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for DynamicEnqueueTPUEmbeddingRaggedTensorBatch
dynamicPartition(Operand, Operand, Long) - Method in class org.tensorflow.op.Ops: Partitions data into num_partitions tensors using indices from partitions.
DynamicPartition<T> - Class in org.tensorflow.op.core: Partitions data into num_partitions tensors using indices from partitions.
DynamicPartition(Operation) - Constructor for class org.tensorflow.op.core.DynamicPartition
DynamicPartition.Inputs<T> - Class in org.tensorflow.op.core
dynamicShapes - Variable in class org.tensorflow.op.tpu.Compile.Inputs: The dynamicShapes input
dynamicSize - Variable in class org.tensorflow.op.core.TensorArray.Inputs: A boolean that determines whether writes to the TensorArray are allowed to grow the size.
dynamicSize(Boolean) - Static method in class org.tensorflow.op.core.TensorArray: Sets the dynamicSize option.
dynamicSize(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the dynamicSize option.
dynamicStitch(Iterable, Iterable) - Method in class org.tensorflow.op.Ops: Interleave the values from the data tensors into a single tensor.
DynamicStitch<T> - Class in org.tensorflow.op.core: Interleave the values from the data tensors into a single tensor.
DynamicStitch(Operation) - Constructor for class org.tensorflow.op.core.DynamicStitch
DynamicStitch.Inputs<T> - Class in org.tensorflow.op.core

E

e - Variable in class org.tensorflow.op.core.Select.Inputs: The e input
e() - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig: Gets e.
e() - Method in class org.tensorflow.op.linalg.Eig: Gets e.
e() - Method in class org.tensorflow.op.linalg.SelfAdjointEig: Gets e.
EAGER - Enum constant in enum org.tensorflow.ExecutionEnvironment.Types
EAGER_REMOTE_MGR - Enum constant in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: eager::RemoteMgr.
EAGER_REMOTE_MGR_VALUE - Static variable in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: eager::RemoteMgr.
EagerSession - Class in org.tensorflow: An environment for executing TensorFlow operations eagerly.
EagerSession - Static variable in class org.tensorflow.generator.op.Names
EagerSession.DevicePlacementPolicy - Enum in org.tensorflow: Controls how to act when we try to run an operation on a given device but some input tensors are not on that device.
EagerSession.Options - Class in org.tensorflow
EDGE_BENCHMARK - Enum constant in enum org.tensorflow.proto.TestResults.BenchmarkType: EDGE_BENCHMARK = 4;
EDGE_BENCHMARK_VALUE - Static variable in enum org.tensorflow.proto.TestResults.BenchmarkType: EDGE_BENCHMARK = 4;
editDistance(Operand, Operand, Operand, Operand, Operand, Operand, EditDistance.Options...) - Method in class org.tensorflow.op.Ops: Computes the (possibly normalized) Levenshtein Edit Distance.
EditDistance - Class in org.tensorflow.op.core: Computes the (possibly normalized) Levenshtein Edit Distance.
EditDistance(Operation) - Constructor for class org.tensorflow.op.core.EditDistance
EditDistance.Inputs<T> - Class in org.tensorflow.op.core
EditDistance.Options - Class in org.tensorflow.op.core: Optional attributes for EditDistance
eig(Operand, Class, Eig.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the eigen decomposition of one or more square matrices.
Eig - Class in org.tensorflow.op.linalg: Computes the eigen decomposition of one or more square matrices.
Eig(Operation) - Constructor for class org.tensorflow.op.linalg.Eig
Eig.Inputs - Class in org.tensorflow.op.linalg
Eig.Options - Class in org.tensorflow.op.linalg: Optional attributes for Eig
einsum(Iterable, String) - Method in class org.tensorflow.op.LinalgOps: Tensor contraction according to Einstein summation convention.
Einsum<T> - Class in org.tensorflow.op.linalg: Tensor contraction according to Einstein summation convention.
Einsum(Operation) - Constructor for class org.tensorflow.op.linalg.Einsum
Einsum.Inputs<T> - Class in org.tensorflow.op.linalg
elem - Variable in class org.tensorflow.op.core.StackPush.Inputs: The tensor to be pushed onto the stack.
elem() - Method in class org.tensorflow.op.core.StackPop: Gets elem.
ELEMENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
ELEMENT_SPEC - Enum constant in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.OptionalElementSpecCase
ELEMENT_SPEC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DataService.DataServiceMetadata
ELEMENT_SPEC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
elementDtype - Variable in class org.tensorflow.op.core.EmptyTensorList.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListConcatLists.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListFromTensor.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListGather.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListGetItem.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListPopBack.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListPushBack.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListPushBackBatch.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListReserve.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListStack.Inputs: The elementDtype attribute
elementShape - Variable in class org.tensorflow.op.core.EmptyTensorList.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorArray.Inputs: The expected shape of an element, if known.
elementShape - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: The expected shape of an element, if known.
elementShape - Variable in class org.tensorflow.op.core.TensorArrayPack.Inputs: The elementShape attribute
elementShape - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListFromTensor.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListGather.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListGetItem.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListPopBack.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListReserve.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListStack.Inputs: The elementShape input
elementShape() - Method in class org.tensorflow.op.core.TensorListElementShape: Gets elementShape.
elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorArray: Sets the elementShape option.
elementShape(Shape) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the elementShape option.
elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorArrayGather: Sets the elementShape option.
elementShape(Shape) - Method in class org.tensorflow.op.core.TensorArrayGather.Options: Sets the elementShape option.
elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorArrayPack: Sets the elementShape option.
elementShape(Shape) - Method in class org.tensorflow.op.core.TensorArrayPack.Options: Sets the elementShape option.
elementShapeExcept0 - Variable in class org.tensorflow.op.core.TensorArrayConcat.Inputs: The expected shape of an element, if known, excluding the first dimension.
elementShapeExcept0(Shape) - Static method in class org.tensorflow.op.core.TensorArrayConcat: Sets the elementShapeExcept0 option.
elementShapeExcept0(Shape) - Method in class org.tensorflow.op.core.TensorArrayConcat.Options: Sets the elementShapeExcept0 option.
elementSpec - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The elementSpec attribute
elementSpec(String) - Static method in class org.tensorflow.op.data.RegisterDataset: Sets the elementSpec option.
elementSpec(String) - Method in class org.tensorflow.op.data.RegisterDataset.Options: Sets the elementSpec option.
elemType - Variable in class org.tensorflow.op.core.StackCreate.Inputs: The type of the elements on the stack.
elemType - Variable in class org.tensorflow.op.core.StackPop.Inputs: The type of the elem that is popped.
ellipsisMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The ellipsisMask attribute
ellipsisMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: a bitmask where bit i being 1 means the ith position is actually an ellipsis.
ellipsisMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The ellipsisMask attribute
ellipsisMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The ellipsisMask attribute
ellipsisMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The ellipsisMask attribute
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the ellipsisMask option.
ellipsisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the ellipsisMask option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the ellipsisMask option.
ellipsisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the ellipsisMask option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the ellipsisMask option.
ellipsisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the ellipsisMask option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the ellipsisMask option.
ellipsisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the ellipsisMask option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the ellipsisMask option.
ellipsisMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the ellipsisMask option.
elu(Ops, Operand, double) - Static method in class org.tensorflow.framework.activations.ELU: Computes the Exponential linear unit.
elu(Operand) - Method in class org.tensorflow.op.NnOps: Computes the exponential linear function.
Elu<T> - Class in org.tensorflow.op.nn: Computes the exponential linear function.
Elu(Operation) - Constructor for class org.tensorflow.op.nn.Elu
ELU - Class in org.tensorflow.framework.activations: Exponential linear unit.
ELU - Enum constant in enum org.tensorflow.framework.activations.Activations
ELU() - Constructor for class org.tensorflow.framework.activations.ELU: Creates a new ELU with alpha=ELU.ALPHA_DEFAULT.
ELU(double) - Constructor for class org.tensorflow.framework.activations.ELU: Creates a new ELU
ELU(Map) - Constructor for class org.tensorflow.framework.activations.ELU: Creates a new ELU from a configuration Map
Elu.Inputs<T> - Class in org.tensorflow.op.nn
eluGrad(Operand, Operand) - Method in class org.tensorflow.op.NnOps: Computes gradients for the exponential linear (Elu) operation.
EluGrad<T> - Class in org.tensorflow.op.nn: Computes gradients for the exponential linear (Elu) operation.
EluGrad(Operation) - Constructor for class org.tensorflow.op.nn.EluGrad
EluGrad.Inputs<T> - Class in org.tensorflow.op.nn
embeddingActivations(Operand, Operand, Long, Long) - Method in class org.tensorflow.op.TpuOps: An op enabling differentiation of TPU Embeddings.
EmbeddingActivations - Class in org.tensorflow.op.tpu: An op enabling differentiation of TPU Embeddings.
EmbeddingActivations(Operation) - Constructor for class org.tensorflow.op.tpu.EmbeddingActivations
EmbeddingActivations.Inputs - Class in org.tensorflow.op.tpu
embeddingConfig - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: Reserved.
embeddingConfig(String) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the embeddingConfig option.
embeddingConfig(String) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the embeddingConfig option.
embeddingIndices - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingIndices - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The embeddingIndices input
embeddingIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingPartitions - Variable in class org.tensorflow.op.tpu.ComputeDedupDataSize.Inputs: Serialized EmbeddingPartitionsProto proto.
embeddingPartitions - Variable in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask.Inputs: Serialized EmbeddingPartitionsProto proto.
embeddingPartitions - Variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations.Inputs: Serialized EmbeddingPartitionsProto proto.
embeddingPartitions - Variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData.Inputs: Serialized EmbeddingPartitionsProto proto.
embeddingPartitions - Variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs: Serialized EmbeddingPartitionsProto proto.
embeddingPartitions() - Method in class org.tensorflow.op.tpu.FinalizeTPUEmbedding: Gets embeddingPartitions.
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseCoreSgd.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The embeddingTable input
embeddingVariable - Variable in class org.tensorflow.op.tpu.EmbeddingActivations.Inputs: A trainable variable, enabling optimizers to find this op.
embeddingVariable - Variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.

A trainable variable, enabling optimizers to find this op.
empty(Operand, Class, Empty.Options...) - Method in class org.tensorflow.op.Ops: Creates a tensor with the given shape.
Empty<T> - Class in org.tensorflow.op.core: Creates a tensor with the given shape.
Empty(Operation) - Constructor for class org.tensorflow.op.core.Empty
EMPTY_SHARED_NAME - Static variable in class org.tensorflow.framework.data.DatasetIterator
Empty.Inputs - Class in org.tensorflow.op.core
Empty.Options - Class in org.tensorflow.op.core: Optional attributes for Empty
emptyKey - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: The key used to represent empty key buckets internally.
emptyKey - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The key used to represent empty key buckets internally.
emptyRowIndicator() - Method in class org.tensorflow.op.ragged.RaggedFillEmptyRows: Gets emptyRowIndicator.
emptyRowIndicator() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Gets emptyRowIndicator. 1-D. whether the dense row was missing in the input sparse tensor.
emptyTensorList(Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Creates and returns an empty tensor list.
EmptyTensorList - Class in org.tensorflow.op.core: Creates and returns an empty tensor list.
EmptyTensorList(Operation) - Constructor for class org.tensorflow.op.core.EmptyTensorList
EmptyTensorList.Inputs - Class in org.tensorflow.op.core
emptyTensorMap() - Method in class org.tensorflow.op.Ops: Creates and returns an empty tensor map.
EmptyTensorMap - Class in org.tensorflow.op.core: Creates and returns an empty tensor map. handle: an empty tensor map
EmptyTensorMap(Operation) - Constructor for class org.tensorflow.op.core.EmptyTensorMap
EmptyTensorMap.Inputs - Class in org.tensorflow.op.core
ENABLE_BFLOAT16_SENDRECV_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOptions
ENABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AutoParallelOptions
ENABLE_HEALTH_CHECK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
ENABLE_HLO_PROTO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
ENABLE_MLIR_BRIDGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
ENABLE_MLIR_GRAPH_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
ENABLE_MULTI_HOST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
ENABLE_OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ScopedAllocatorOptions
ENABLE_RECV_SCHEDULING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOptions
ENABLED - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalEnabledCase
ENABLED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
enableLargeBatchSplitting - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: input with a large size (i.e., larger than the largest value of allowed_batch_sizes) will be splitted into multiple batches with batch size.
enableLargeBatchSplitting(Boolean) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the enableLargeBatchSplitting option.
enableLargeBatchSplitting(Boolean) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the enableLargeBatchSplitting option.
enableWholeMeshCompilations - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: The enableWholeMeshCompilations attribute
enableWholeMeshCompilations(Boolean) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the enableWholeMeshCompilations option.
enableWholeMeshCompilations(Boolean) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the enableWholeMeshCompilations option.
encodeBase64(Operand, EncodeBase64.Options...) - Method in class org.tensorflow.op.IoOps: Encode strings into web-safe base64 format.
EncodeBase64 - Class in org.tensorflow.op.io: Encode strings into web-safe base64 format.
EncodeBase64(Operation) - Constructor for class org.tensorflow.op.io.EncodeBase64
EncodeBase64.Inputs - Class in org.tensorflow.op.io
EncodeBase64.Options - Class in org.tensorflow.op.io: Optional attributes for EncodeBase64
encoded - Variable in class org.tensorflow.op.core.CompositeTensorVariantToComponents.Inputs: A scalar variant Tensor containing an encoded ExtensionType value.
encoded() - Method in class org.tensorflow.op.core.CompositeTensorVariantFromComponents: Gets encoded.
ENCODED_AUDIO_STRING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Audio
ENCODED_IMAGE_STRING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Image
encodedRagged - Variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs: A variant Tensor containing encoded RaggedTensors.
encodedRagged() - Method in class org.tensorflow.op.ragged.RaggedTensorToVariant: Gets encodedRagged.
encodedRaggedGrad - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: A variant Tensor containing encoded RaggedTensor gradients.
encodeJpeg(Operand, EncodeJpeg.Options...) - Method in class org.tensorflow.op.ImageOps: JPEG-encode an image.
EncodeJpeg - Class in org.tensorflow.op.image: JPEG-encode an image.
EncodeJpeg(Operation) - Constructor for class org.tensorflow.op.image.EncodeJpeg
EncodeJpeg.Inputs - Class in org.tensorflow.op.image
EncodeJpeg.Options - Class in org.tensorflow.op.image: Optional attributes for EncodeJpeg
encodeJpegVariableQuality(Operand, Operand) - Method in class org.tensorflow.op.ImageOps: JPEG encode input image with provided compression quality.
EncodeJpegVariableQuality - Class in org.tensorflow.op.image: JPEG encode input image with provided compression quality.
EncodeJpegVariableQuality(Operation) - Constructor for class org.tensorflow.op.image.EncodeJpegVariableQuality
EncodeJpegVariableQuality.Inputs - Class in org.tensorflow.op.image
encodePng(Operand, EncodePng.Options...) - Method in class org.tensorflow.op.ImageOps: PNG-encode an image.
EncodePng - Class in org.tensorflow.op.image: PNG-encode an image.
EncodePng(Operation) - Constructor for class org.tensorflow.op.image.EncodePng
EncodePng.Inputs - Class in org.tensorflow.op.image
EncodePng.Options - Class in org.tensorflow.op.image: Optional attributes for EncodePng
encodeProto(Operand, Iterable, List, String, EncodeProto.Options...) - Method in class org.tensorflow.op.Ops: The op serializes protobuf messages provided in the input tensors.
EncodeProto - Class in org.tensorflow.op.core: The op serializes protobuf messages provided in the input tensors.
EncodeProto(Operation) - Constructor for class org.tensorflow.op.core.EncodeProto
EncodeProto.Inputs - Class in org.tensorflow.op.core
EncodeProto.Options - Class in org.tensorflow.op.core: Optional attributes for EncodeProto
encodeWav(Operand, Operand) - Method in class org.tensorflow.op.AudioOps: Encode audio data using the WAV file format.
EncodeWav - Class in org.tensorflow.op.audio: Encode audio data using the WAV file format.
EncodeWav(Operation) - Constructor for class org.tensorflow.op.audio.EncodeWav
EncodeWav.Inputs - Class in org.tensorflow.op.audio
encoding - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: The type of encoding for the file.
encoding - Variable in class org.tensorflow.op.strings.Lower.Inputs: Character encoding of input.
encoding - Variable in class org.tensorflow.op.strings.Upper.Inputs: Character encoding of input.
encoding(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the encoding option.
encoding(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the encoding option.
encoding(String) - Static method in class org.tensorflow.op.strings.Lower: Sets the encoding option.
encoding(String) - Method in class org.tensorflow.op.strings.Lower.Options: Sets the encoding option.
encoding(String) - Static method in class org.tensorflow.op.strings.Upper: Sets the encoding option.
encoding(String) - Method in class org.tensorflow.op.strings.Upper.Options: Sets the encoding option.
ENCODING_NOT_SET - Enum constant in enum org.tensorflow.proto.TensorInfo.EncodingCase
end - Variable in class org.tensorflow.op.core.Print.Inputs: The end attribute
end - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The end input
end - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: end[i] is like begin with the exception that end_mask is used to determine full ranges.
end - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The end input
end - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The end input
end - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The end input
end(String) - Static method in class org.tensorflow.op.core.Print: Sets the end option.
end(String) - Method in class org.tensorflow.op.core.Print.Options: Sets the end option.
ENDIANNESS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BundleHeaderProto
endMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The endMask attribute
endMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: analogous to begin_mask
endMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The endMask attribute
endMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The endMask attribute
endMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The endMask attribute
endMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the endMask option.
endMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the endMask option.
endMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the endMask option.
endMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the endMask option.
endMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the endMask option.
endMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the endMask option.
endMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the endMask option.
endMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the endMask option.
endMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the endMask option.
endMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the endMask option.
Endpoint - Annotation Type in org.tensorflow.op.annotation: Annotation used to mark a method of a class annotated with @Operator that should generate an endpoint into Ops or one of its groups.
Endpoint - Static variable in class org.tensorflow.generator.op.Names
ENDPOINT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
ENQUEUE_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.QueueRunnerDef
enqueueTPUEmbeddingArbitraryTensorBatch(Iterable, Iterable, Iterable, Operand, EnqueueTPUEmbeddingArbitraryTensorBatch.Options...) - Method in class org.tensorflow.op.TpuOps: Eases the porting of code that uses tf.nn.embedding_lookup_sparse().
EnqueueTPUEmbeddingArbitraryTensorBatch - Class in org.tensorflow.op.tpu: Eases the porting of code that uses tf.nn.embedding_lookup_sparse(). embedding_indices[i] and aggregation_weights[i] correspond to the ith feature.
EnqueueTPUEmbeddingArbitraryTensorBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch
EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingArbitraryTensorBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingArbitraryTensorBatch
enqueueTPUEmbeddingBatch(Iterable, Operand, EnqueueTPUEmbeddingBatch.Options...) - Method in class org.tensorflow.op.TpuOps: An op that enqueues a list of input batch tensors to TPUEmbedding.
EnqueueTPUEmbeddingBatch - Class in org.tensorflow.op.tpu: An op that enqueues a list of input batch tensors to TPUEmbedding.
EnqueueTPUEmbeddingBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch
EnqueueTPUEmbeddingBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingBatch
enqueueTPUEmbeddingIntegerBatch(Iterable, Operand, EnqueueTPUEmbeddingIntegerBatch.Options...) - Method in class org.tensorflow.op.TpuOps: An op that enqueues a list of input batch tensors to TPUEmbedding.
EnqueueTPUEmbeddingIntegerBatch - Class in org.tensorflow.op.tpu: An op that enqueues a list of input batch tensors to TPUEmbedding.
EnqueueTPUEmbeddingIntegerBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch
EnqueueTPUEmbeddingIntegerBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingIntegerBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingIntegerBatch
enqueueTPUEmbeddingRaggedTensorBatch(Iterable, Iterable, Iterable, Operand, List, EnqueueTPUEmbeddingRaggedTensorBatch.Options...) - Method in class org.tensorflow.op.TpuOps: Eases the porting of code that uses tf.nn.embedding_lookup().
EnqueueTPUEmbeddingRaggedTensorBatch - Class in org.tensorflow.op.tpu: Eases the porting of code that uses tf.nn.embedding_lookup(). sample_splits[i], embedding_indices[i] and aggregation_weights[i] correspond to the ith feature. table_ids[i] indicates which embedding table to look up ith feature.
EnqueueTPUEmbeddingRaggedTensorBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch
EnqueueTPUEmbeddingRaggedTensorBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingRaggedTensorBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingRaggedTensorBatch
enqueueTPUEmbeddingSparseBatch(Iterable, Iterable, Iterable, Operand, EnqueueTPUEmbeddingSparseBatch.Options...) - Method in class org.tensorflow.op.TpuOps: An op that enqueues TPUEmbedding input indices from a SparseTensor.
EnqueueTPUEmbeddingSparseBatch - Class in org.tensorflow.op.tpu: An op that enqueues TPUEmbedding input indices from a SparseTensor.
EnqueueTPUEmbeddingSparseBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch
EnqueueTPUEmbeddingSparseBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingSparseBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingSparseBatch
enqueueTPUEmbeddingSparseTensorBatch(Iterable, Iterable, Iterable, Operand, List, EnqueueTPUEmbeddingSparseTensorBatch.Options...) - Method in class org.tensorflow.op.TpuOps: Eases the porting of code that uses tf.nn.embedding_lookup_sparse().
EnqueueTPUEmbeddingSparseTensorBatch - Class in org.tensorflow.op.tpu: Eases the porting of code that uses tf.nn.embedding_lookup_sparse(). sample_indices[i], embedding_indices[i] and aggregation_weights[i] correspond to the ith feature. table_ids[i] indicates which embedding table to look up ith feature.
EnqueueTPUEmbeddingSparseTensorBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch
EnqueueTPUEmbeddingSparseTensorBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingSparseTensorBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingSparseTensorBatch
ensureMinimumRange - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The ensureMinimumRange attribute
ensureMinimumRange(Float) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the ensureMinimumRange option.
ensureMinimumRange(Float) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the ensureMinimumRange option.
ensureShape(Operand, Shape) - Method in class org.tensorflow.op.Ops: Ensures that the tensor's shape matches the expected shape.
EnsureShape<T> - Class in org.tensorflow.op.core: Ensures that the tensor's shape matches the expected shape.
EnsureShape(Operation) - Constructor for class org.tensorflow.op.core.EnsureShape
EnsureShape.Inputs<T> - Class in org.tensorflow.op.core
enter(Operand, String, Enter.Options...) - Method in class org.tensorflow.op.Ops: Creates or finds a child frame, and makes data available to the child frame.
Enter<T> - Class in org.tensorflow.op.core: Creates or finds a child frame, and makes data available to the child frame.
Enter(Operation) - Constructor for class org.tensorflow.op.core.Enter
Enter.Inputs<T> - Class in org.tensorflow.op.core
Enter.Options - Class in org.tensorflow.op.core: Optional attributes for Enter
ENTRIES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TestResults
ENTRY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BenchmarkEntries
EntryValue - Class in org.tensorflow.proto: Protobuf type tensorflow.EntryValue
EntryValue.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.EntryValue
EntryValue.KindCase - Enum in org.tensorflow.proto
EntryValueOrBuilder - Interface in org.tensorflow.proto
env() - Method in class org.tensorflow.GraphOperation
env() - Method in class org.tensorflow.op.NativeScope
env() - Method in interface org.tensorflow.op.Op: Return the execution environment this op was created in.
env() - Method in class org.tensorflow.op.OpScope
env() - Method in interface org.tensorflow.op.Scope: Returns the execution environment used by this scope.
env() - Method in interface org.tensorflow.Operation: Returns the execution environment this operation was created in.
ENV_VARS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunConfiguration
ENVIRONMENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
environmentType() - Method in class org.tensorflow.EagerSession
environmentType() - Method in interface org.tensorflow.ExecutionEnvironment: Get the type of this environment (from the `Environments` enumeration.
environmentType() - Method in class org.tensorflow.Graph
epsilon - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A small float number added to the variance of x.
epsilon - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A small float number added to the variance of x.
epsilon - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The epsilon input
epsilon - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The epsilon input
epsilon - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The epsilon attribute
epsilon - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The epsilon attribute
epsilon - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The epsilon attribute
epsilon - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The epsilon attribute
epsilon(Float) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Sets the epsilon option.
epsilon(Float) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options: Sets the epsilon option.
epsilon(Float) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad: Sets the epsilon option.
epsilon(Float) - Method in class org.tensorflow.op.nn.FusedBatchNormGrad.Options: Sets the epsilon option.
EPSILON - Static variable in class org.tensorflow.framework.constraints.AbstractConstraint
EPSILON - Static variable in class org.tensorflow.framework.losses.Losses: Default Fuzz factor.
EPSILON - Static variable in class org.tensorflow.framework.metrics.AUC: Default Fuzz factor.
EPSILON_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.AdaDelta
EPSILON_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Adam
EPSILON_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Adamax
EPSILON_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Nadam
EPSILON_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.RMSProp
equal(Operand, Operand, Equal.Options...) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x == y) element-wise.
Equal - Class in org.tensorflow.op.math: Returns the truth value of (x == y) element-wise.
Equal(Operation) - Constructor for class org.tensorflow.op.math.Equal
Equal.Inputs<T> - Class in org.tensorflow.op.math
Equal.Options - Class in org.tensorflow.op.math: Optional attributes for Equal
equals(Object) - Method in class org.tensorflow.DeviceSpec
equals(Object) - Method in class org.tensorflow.GraphOperation
equals(Object) - Method in class org.tensorflow.op.RawOp
equals(Object) - Method in class org.tensorflow.op.RawOpInputs
equals(Object) - Method in class org.tensorflow.Output
equals(Object) - Method in class org.tensorflow.proto.AllocationDescription
equals(Object) - Method in class org.tensorflow.proto.AllocationRecord
equals(Object) - Method in class org.tensorflow.proto.AllocatorMemoryUsed
equals(Object) - Method in class org.tensorflow.proto.ApiDef.Arg
equals(Object) - Method in class org.tensorflow.proto.ApiDef.Attr
equals(Object) - Method in class org.tensorflow.proto.ApiDef.Endpoint
equals(Object) - Method in class org.tensorflow.proto.ApiDef
equals(Object) - Method in class org.tensorflow.proto.ApiDefs
equals(Object) - Method in class org.tensorflow.proto.AssetFileDef
equals(Object) - Method in class org.tensorflow.proto.AttrValue
equals(Object) - Method in class org.tensorflow.proto.AttrValue.ListValue
equals(Object) - Method in class org.tensorflow.proto.AutoParallelOptions
equals(Object) - Method in class org.tensorflow.proto.AvailableDeviceInfo
equals(Object) - Method in class org.tensorflow.proto.BenchmarkEntries
equals(Object) - Method in class org.tensorflow.proto.BenchmarkEntry
equals(Object) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
equals(Object) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
equals(Object) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
equals(Object) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
equals(Object) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
equals(Object) - Method in class org.tensorflow.proto.BuildConfiguration
equals(Object) - Method in class org.tensorflow.proto.BundleEntryProto
equals(Object) - Method in class org.tensorflow.proto.BundleHeaderProto
equals(Object) - Method in class org.tensorflow.proto.BytesList
equals(Object) - Method in class org.tensorflow.proto.CallableOptions
equals(Object) - Method in class org.tensorflow.proto.ClusterDef
equals(Object) - Method in class org.tensorflow.proto.ClusterDeviceFilters
equals(Object) - Method in class org.tensorflow.proto.CodeLocation
equals(Object) - Method in class org.tensorflow.proto.CollectionDef.AnyList
equals(Object) - Method in class org.tensorflow.proto.CollectionDef.BytesList
equals(Object) - Method in class org.tensorflow.proto.CollectionDef
equals(Object) - Method in class org.tensorflow.proto.CollectionDef.FloatList
equals(Object) - Method in class org.tensorflow.proto.CollectionDef.Int64List
equals(Object) - Method in class org.tensorflow.proto.CollectionDef.NodeList
equals(Object) - Method in class org.tensorflow.proto.CommitId
equals(Object) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
equals(Object) - Method in class org.tensorflow.proto.CondContextDef
equals(Object) - Method in class org.tensorflow.proto.ConfigProto
equals(Object) - Method in class org.tensorflow.proto.ConfigProto.Experimental
equals(Object) - Method in class org.tensorflow.proto.ControlFlowContextDef
equals(Object) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
equals(Object) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
equals(Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
equals(Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
equals(Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
equals(Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
equals(Object) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
equals(Object) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
equals(Object) - Method in class org.tensorflow.proto.CostGraphDef
equals(Object) - Method in class org.tensorflow.proto.CostGraphDef.Node
equals(Object) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
equals(Object) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
equals(Object) - Method in class org.tensorflow.proto.CPUInfo
equals(Object) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
equals(Object) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
equals(Object) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
equals(Object) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
equals(Object) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
equals(Object) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
equals(Object) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
equals(Object) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
equals(Object) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
equals(Object) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
equals(Object) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
equals(Object) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
equals(Object) - Method in class org.tensorflow.proto.data.DatasetOptions.Options
equals(Object) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
equals(Object) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
equals(Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
equals(Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
equals(Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
equals(Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
equals(Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
equals(Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
equals(Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
equals(Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto
equals(Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
equals(Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
equals(Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
equals(Object) - Method in class org.tensorflow.proto.DebugEvent
equals(Object) - Method in class org.tensorflow.proto.DebuggedDevice
equals(Object) - Method in class org.tensorflow.proto.DebuggedGraph
equals(Object) - Method in class org.tensorflow.proto.DebuggedSourceFile
equals(Object) - Method in class org.tensorflow.proto.DebuggedSourceFiles
equals(Object) - Method in class org.tensorflow.proto.DebugMetadata
equals(Object) - Method in class org.tensorflow.proto.DebugOptions
equals(Object) - Method in class org.tensorflow.proto.DebugTensorWatch
equals(Object) - Method in class org.tensorflow.proto.DeviceAttributes
equals(Object) - Method in class org.tensorflow.proto.DeviceLocality
equals(Object) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
equals(Object) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
equals(Object) - Method in class org.tensorflow.proto.DeviceStepStats
equals(Object) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
equals(Object) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
equals(Object) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
equals(Object) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
equals(Object) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
equals(Object) - Method in class org.tensorflow.proto.EntryValue
equals(Object) - Method in class org.tensorflow.proto.Event
equals(Object) - Method in class org.tensorflow.proto.Example
equals(Object) - Method in class org.tensorflow.proto.ExampleParserConfiguration
equals(Object) - Method in class org.tensorflow.proto.Execution
equals(Object) - Method in class org.tensorflow.proto.Feature
equals(Object) - Method in class org.tensorflow.proto.FeatureConfiguration
equals(Object) - Method in class org.tensorflow.proto.FeatureList
equals(Object) - Method in class org.tensorflow.proto.FeatureLists
equals(Object) - Method in class org.tensorflow.proto.Features
equals(Object) - Method in class org.tensorflow.proto.FingerprintDef
equals(Object) - Method in class org.tensorflow.proto.FixedLenFeatureProto
equals(Object) - Method in class org.tensorflow.proto.FloatList
equals(Object) - Method in class org.tensorflow.proto.FullTypeDef
equals(Object) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
equals(Object) - Method in class org.tensorflow.proto.FunctionDef
equals(Object) - Method in class org.tensorflow.proto.FunctionDefLibrary
equals(Object) - Method in class org.tensorflow.proto.GPUInfo
equals(Object) - Method in class org.tensorflow.proto.GPUOptions
equals(Object) - Method in class org.tensorflow.proto.GPUOptions.Experimental
equals(Object) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
equals(Object) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
equals(Object) - Method in class org.tensorflow.proto.GradientDef
equals(Object) - Method in class org.tensorflow.proto.GraphDebugInfo
equals(Object) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
equals(Object) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
equals(Object) - Method in class org.tensorflow.proto.GraphDef
equals(Object) - Method in class org.tensorflow.proto.GraphExecutionTrace
equals(Object) - Method in class org.tensorflow.proto.GraphOpCreation
equals(Object) - Method in class org.tensorflow.proto.GraphOptions
equals(Object) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
equals(Object) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
equals(Object) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
equals(Object) - Method in class org.tensorflow.proto.GraphTransferInfo
equals(Object) - Method in class org.tensorflow.proto.GraphTransferNodeInfo
equals(Object) - Method in class org.tensorflow.proto.GraphTransferNodeInput
equals(Object) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
equals(Object) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
equals(Object) - Method in class org.tensorflow.proto.HistogramProto
equals(Object) - Method in class org.tensorflow.proto.Int64List
equals(Object) - Method in class org.tensorflow.proto.InterconnectLink
equals(Object) - Method in class org.tensorflow.proto.JobDef
equals(Object) - Method in class org.tensorflow.proto.JobDeviceFilters
equals(Object) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
equals(Object) - Method in class org.tensorflow.proto.KernelDef
equals(Object) - Method in class org.tensorflow.proto.KernelList
equals(Object) - Method in class org.tensorflow.proto.LocalLinks
equals(Object) - Method in class org.tensorflow.proto.LogMessage: Deprecated.
equals(Object) - Method in class org.tensorflow.proto.MachineConfiguration
equals(Object) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
equals(Object) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
equals(Object) - Method in class org.tensorflow.proto.MemoryInfo
equals(Object) - Method in class org.tensorflow.proto.MemoryLogRawAllocation
equals(Object) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
equals(Object) - Method in class org.tensorflow.proto.MemoryLogStep
equals(Object) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
equals(Object) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
equals(Object) - Method in class org.tensorflow.proto.MemoryLogTensorOutput
equals(Object) - Method in class org.tensorflow.proto.MemoryStats
equals(Object) - Method in class org.tensorflow.proto.MetaGraphDef
equals(Object) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
equals(Object) - Method in class org.tensorflow.proto.MetricEntry
equals(Object) - Method in class org.tensorflow.proto.NameAttrList
equals(Object) - Method in class org.tensorflow.proto.NamedTensorProto
equals(Object) - Method in class org.tensorflow.proto.NodeDef
equals(Object) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
equals(Object) - Method in class org.tensorflow.proto.NodeExecStats
equals(Object) - Method in class org.tensorflow.proto.NodeOutput
equals(Object) - Method in class org.tensorflow.proto.OpDef.ArgDef
equals(Object) - Method in class org.tensorflow.proto.OpDef.AttrDef
equals(Object) - Method in class org.tensorflow.proto.OpDef
equals(Object) - Method in class org.tensorflow.proto.OpDeprecation
equals(Object) - Method in class org.tensorflow.proto.OpList
equals(Object) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
equals(Object) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
equals(Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
equals(Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
equals(Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
equals(Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
equals(Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
equals(Object) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
equals(Object) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
equals(Object) - Method in class org.tensorflow.proto.OptimizerOptions
equals(Object) - Method in class org.tensorflow.proto.PlatformInfo
equals(Object) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
equals(Object) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
equals(Object) - Method in class org.tensorflow.proto.profiler.Xplane.XLine
equals(Object) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
equals(Object) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
equals(Object) - Method in class org.tensorflow.proto.profiler.Xplane.XStat
equals(Object) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
equals(Object) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
equals(Object) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
equals(Object) - Method in class org.tensorflow.proto.QueueRunnerDef
equals(Object) - Method in class org.tensorflow.proto.ReaderBaseState
equals(Object) - Method in class org.tensorflow.proto.RegisteredGradient
equals(Object) - Method in class org.tensorflow.proto.RequestedExitCode
equals(Object) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
equals(Object) - Method in class org.tensorflow.proto.ResourceHandleProto
equals(Object) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
equals(Object) - Method in class org.tensorflow.proto.RewriterConfig
equals(Object) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
equals(Object) - Method in class org.tensorflow.proto.RunConfiguration
equals(Object) - Method in class org.tensorflow.proto.RunMetadata
equals(Object) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
equals(Object) - Method in class org.tensorflow.proto.RunOptions
equals(Object) - Method in class org.tensorflow.proto.RunOptions.Experimental
equals(Object) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
equals(Object) - Method in class org.tensorflow.proto.SavedModel
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
equals(Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
equals(Object) - Method in class org.tensorflow.proto.SavedSlice
equals(Object) - Method in class org.tensorflow.proto.SavedSliceMeta
equals(Object) - Method in class org.tensorflow.proto.SavedTensorSliceMeta
equals(Object) - Method in class org.tensorflow.proto.SavedTensorSlices
equals(Object) - Method in class org.tensorflow.proto.SaverDef
equals(Object) - Method in class org.tensorflow.proto.SaveSliceInfoDef
equals(Object) - Method in class org.tensorflow.proto.ScopedAllocatorOptions
equals(Object) - Method in class org.tensorflow.proto.SequenceExample
equals(Object) - Method in class org.tensorflow.proto.SerializedDType
equals(Object) - Method in class org.tensorflow.proto.ServerDef
equals(Object) - Method in class org.tensorflow.proto.SessionLog
equals(Object) - Method in class org.tensorflow.proto.SessionMetadata
equals(Object) - Method in class org.tensorflow.proto.SignatureDef
equals(Object) - Method in class org.tensorflow.proto.SourceFile
equals(Object) - Method in class org.tensorflow.proto.SourceMetadata
equals(Object) - Method in class org.tensorflow.proto.StackFrameWithId
equals(Object) - Method in class org.tensorflow.proto.StatusProto
equals(Object) - Method in class org.tensorflow.proto.StepStats
equals(Object) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
equals(Object) - Method in class org.tensorflow.proto.Struct.DictValue
equals(Object) - Method in class org.tensorflow.proto.Struct.ListValue
equals(Object) - Method in class org.tensorflow.proto.Struct.NamedTupleValue
equals(Object) - Method in class org.tensorflow.proto.Struct.NoneValue
equals(Object) - Method in class org.tensorflow.proto.Struct.PairValue
equals(Object) - Method in class org.tensorflow.proto.Struct.StructuredValue
equals(Object) - Method in class org.tensorflow.proto.Struct.TensorSpecProto
equals(Object) - Method in class org.tensorflow.proto.Struct.TupleValue
equals(Object) - Method in class org.tensorflow.proto.Struct.TypeSpecProto
equals(Object) - Method in class org.tensorflow.proto.Summary.Audio
equals(Object) - Method in class org.tensorflow.proto.Summary
equals(Object) - Method in class org.tensorflow.proto.Summary.Image
equals(Object) - Method in class org.tensorflow.proto.Summary.Value
equals(Object) - Method in class org.tensorflow.proto.SummaryDescription
equals(Object) - Method in class org.tensorflow.proto.SummaryMetadata
equals(Object) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
equals(Object) - Method in class org.tensorflow.proto.TaggedRunMetadata
equals(Object) - Method in class org.tensorflow.proto.TaskDeviceFilters
equals(Object) - Method in class org.tensorflow.proto.TensorConnection
equals(Object) - Method in class org.tensorflow.proto.TensorDescription
equals(Object) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
equals(Object) - Method in class org.tensorflow.proto.TensorInfo.CooSparse
equals(Object) - Method in class org.tensorflow.proto.TensorInfo
equals(Object) - Method in class org.tensorflow.proto.TensorProto
equals(Object) - Method in class org.tensorflow.proto.TensorShapeProto.Dim
equals(Object) - Method in class org.tensorflow.proto.TensorShapeProto
equals(Object) - Method in class org.tensorflow.proto.TensorSliceProto
equals(Object) - Method in class org.tensorflow.proto.TensorSliceProto.Extent
equals(Object) - Method in class org.tensorflow.proto.TestResults
equals(Object) - Method in class org.tensorflow.proto.ThreadPoolOptionProto
equals(Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
equals(Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
equals(Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
equals(Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
equals(Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
equals(Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
equals(Object) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
equals(Object) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
equals(Object) - Method in class org.tensorflow.proto.ValuesDef
equals(Object) - Method in class org.tensorflow.proto.VariableDef
equals(Object) - Method in class org.tensorflow.proto.VariantTensorDataProto
equals(Object) - Method in class org.tensorflow.proto.VarLenFeatureProto
equals(Object) - Method in class org.tensorflow.proto.VerifierConfig
equals(Object) - Method in class org.tensorflow.proto.VersionDef
equals(Object) - Method in class org.tensorflow.proto.WatchdogConfig
equals(Object) - Method in class org.tensorflow.proto.WhileContextDef
equals(Object) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
equals(Object) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
equation - Variable in class org.tensorflow.op.linalg.Einsum.Inputs: String describing the Einstein Summation operation; in the format of np.einsum.
erf(Operand) - Method in class org.tensorflow.op.MathOps: Computes the Gauss error function of x element-wise.
Erf<T> - Class in org.tensorflow.op.math: Computes the Gauss error function of x element-wise.
Erf(Operation) - Constructor for class org.tensorflow.op.math.Erf
Erf.Inputs<T> - Class in org.tensorflow.op.math
erfc(Operand) - Method in class org.tensorflow.op.MathOps: Computes the complementary error function of x element-wise.
Erfc<T> - Class in org.tensorflow.op.math: Computes the complementary error function of x element-wise.
Erfc(Operation) - Constructor for class org.tensorflow.op.math.Erfc
Erfc.Inputs<T> - Class in org.tensorflow.op.math
erfinv<T> - Class in org.tensorflow.op.math: The Erfinv operation
erfinv(Operation) - Constructor for class org.tensorflow.op.math.erfinv
erfinv(Operand) - Method in class org.tensorflow.op.MathOps: The Erfinv operation
erfinv.Inputs<T> - Class in org.tensorflow.op.math
ERROR - Enum constant in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

ERROR = 40;
ERROR_SOURCE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
ERROR_VALUE - Static variable in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

ERROR = 40;
ErrorCodes - Class in org.tensorflow.proto.error.dummy
ErrorCodes - Class in org.tensorflow.proto
ErrorCodesProtos - Class in org.tensorflow.proto.error
errorMsg - Variable in class org.tensorflow.op.core.Abort.Inputs: A string which is the message associated with the exception.
errorMsg(String) - Static method in class org.tensorflow.op.core.Abort: Sets the errorMsg option.
errorMsg(String) - Method in class org.tensorflow.op.core.Abort.Options: Sets the errorMsg option.
errors - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: Error handling policy when there is invalid formatting found in the input.
errors - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: Error handling policy when there is invalid formatting found in the input.
errors - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: Error handling policy when there is invalid formatting found in the input.
errors - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: Error handling policy when there is invalid formatting found in the input.
errors(String) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Sets the errors option.
errors(String) - Method in class org.tensorflow.op.strings.UnicodeDecode.Options: Sets the errors option.
errors(String) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Sets the errors option.
errors(String) - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Options: Sets the errors option.
errors(String) - Static method in class org.tensorflow.op.strings.UnicodeEncode: Sets the errors option.
errors(String) - Method in class org.tensorflow.op.strings.UnicodeEncode.Options: Sets the errors option.
errors(String) - Static method in class org.tensorflow.op.strings.UnicodeTranscode: Sets the errors option.
errors(String) - Method in class org.tensorflow.op.strings.UnicodeTranscode.Options: Sets the errors option.
ERRORS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XSpace
euclideanNorm(Operand, Operand, EuclideanNorm.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the euclidean norm of elements across dimensions of a tensor.
EuclideanNorm<T> - Class in org.tensorflow.op.linalg: Computes the euclidean norm of elements across dimensions of a tensor.
EuclideanNorm(Operation) - Constructor for class org.tensorflow.op.linalg.EuclideanNorm
EuclideanNorm.Inputs<T> - Class in org.tensorflow.op.linalg
EuclideanNorm.Options - Class in org.tensorflow.op.linalg: Optional attributes for EuclideanNorm
event - Variable in class org.tensorflow.op.summary.ImportEvent.Inputs: The event input
Event - Class in org.tensorflow.proto: Protocol buffer representing an event that happened during the execution of a Brain model.
EVENT_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XPlane
Event.Builder - Class in org.tensorflow.proto: Protocol buffer representing an event that happened during the execution of a Brain model.
Event.WhatCase - Enum in org.tensorflow.proto
EventOrBuilder - Interface in org.tensorflow.proto
EventProtos - Class in org.tensorflow.proto
EVENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XLine
Example - Class in org.tensorflow.proto: Protobuf type tensorflow.Example
Example.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.Example
exampleLabels - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a vector which contains the label/target associated with each example.
ExampleOrBuilder - Interface in org.tensorflow.proto
ExampleParserConfiguration - Class in org.tensorflow.proto: Protobuf type tensorflow.ExampleParserConfiguration
ExampleParserConfiguration.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.ExampleParserConfiguration
ExampleParserConfigurationOrBuilder - Interface in org.tensorflow.proto
ExampleParserConfigurationProtos - Class in org.tensorflow.proto
ExampleProtos - Class in org.tensorflow.proto
examples - Variable in class org.tensorflow.op.train.NegTrain.Inputs: A vector of word ids.
examples() - Method in class org.tensorflow.op.core.Skipgram: Gets examples.
exampleStateData - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors containing the example state data.
exampleWeights - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a vector which contains the weight associated with each example.
excludeCols - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The excludeCols input
exclusive - Variable in class org.tensorflow.op.math.Cumprod.Inputs: If True, perform exclusive cumprod.
exclusive - Variable in class org.tensorflow.op.math.Cumsum.Inputs: If True, perform exclusive cumsum.
exclusive - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: If True, perform exclusive cumulative log-sum-exp.
exclusive(Boolean) - Static method in class org.tensorflow.op.math.Cumprod: Sets the exclusive option.
exclusive(Boolean) - Method in class org.tensorflow.op.math.Cumprod.Options: Sets the exclusive option.
exclusive(Boolean) - Static method in class org.tensorflow.op.math.Cumsum: Sets the exclusive option.
exclusive(Boolean) - Method in class org.tensorflow.op.math.Cumsum.Options: Sets the exclusive option.
exclusive(Boolean) - Static method in class org.tensorflow.op.math.CumulativeLogsumexp: Sets the exclusive option.
exclusive(Boolean) - Method in class org.tensorflow.op.math.CumulativeLogsumexp.Options: Sets the exclusive option.
execute() - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
execute(Iterable, Operand, List) - Method in class org.tensorflow.op.TpuOps: Op that loads and executes a TPU program on a TPU device.
execute(TFE_CustomDevice.Execute_TFE_Op_IntPointer_PointerPointer_TF_Status_Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
Execute - Class in org.tensorflow.op.tpu: Op that loads and executes a TPU program on a TPU device.
Execute(Operation) - Constructor for class org.tensorflow.op.tpu.Execute
Execute_TFE_Op_IntPointer_PointerPointer_TF_Status_Pointer() - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice.Execute_TFE_Op_IntPointer_PointerPointer_TF_Status_Pointer
Execute_TFE_Op_IntPointer_PointerPointer_TF_Status_Pointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice.Execute_TFE_Op_IntPointer_PointerPointer_TF_Status_Pointer: Pointer cast constructor.
Execute.Inputs - Class in org.tensorflow.op.tpu
executeAndUpdateVariables(Iterable, Operand, List, List, List) - Method in class org.tensorflow.op.TpuOps: Op that executes a program with optional in-place variable updates.
ExecuteAndUpdateVariables - Class in org.tensorflow.op.tpu: Op that executes a program with optional in-place variable updates.
ExecuteAndUpdateVariables(Operation) - Constructor for class org.tensorflow.op.tpu.ExecuteAndUpdateVariables
ExecuteAndUpdateVariables.Inputs - Class in org.tensorflow.op.tpu
executeTPUEmbeddingPartitioner(String) - Method in class org.tensorflow.op.TpuOps: An op that executes the TPUEmbedding partitioner on the central configuration device and computes the HBM size (in bytes) required for TPUEmbedding operation.
ExecuteTPUEmbeddingPartitioner - Class in org.tensorflow.op.tpu: An op that executes the TPUEmbedding partitioner on the central configuration device and computes the HBM size (in bytes) required for TPUEmbedding operation.
ExecuteTPUEmbeddingPartitioner(Operation) - Constructor for class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner
ExecuteTPUEmbeddingPartitioner.Inputs - Class in org.tensorflow.op.tpu
Execution - Class in org.tensorflow.proto: Data relating to the eager execution of an op or a Graph.
EXECUTION - Enum constant in enum org.tensorflow.proto.DebugEvent.WhatCase
EXECUTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugEvent
EXECUTION_TIME_LOG_NORMAL - Enum constant in enum org.tensorflow.proto.OpPerformanceData.OpPerformance.ExecutionTimeCase
EXECUTION_TIME_LOG_NORMAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance
EXECUTION_TIME_NORMAL - Enum constant in enum org.tensorflow.proto.OpPerformanceData.OpPerformance.ExecutionTimeCase
EXECUTION_TIME_NORMAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance
Execution.Builder - Class in org.tensorflow.proto: Data relating to the eager execution of an op or a Graph.
ExecutionEnvironment - Interface in org.tensorflow: Defines an environment for creating and executing TensorFlow Operations.
ExecutionEnvironment - Static variable in class org.tensorflow.generator.op.Names
ExecutionEnvironment.Types - Enum in org.tensorflow
ExecutionOrBuilder - Interface in org.tensorflow.proto
EXECUTIONTIME_NOT_SET - Enum constant in enum org.tensorflow.proto.OpPerformanceData.OpPerformance.ExecutionTimeCase
EXECUTOR_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
executorType - Variable in class org.tensorflow.op.core.PartitionedCall.Inputs: The executorType attribute
executorType - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: The executorType attribute
executorType(String) - Static method in class org.tensorflow.op.core.PartitionedCall: Sets the executorType option.
executorType(String) - Method in class org.tensorflow.op.core.PartitionedCall.Options: Sets the executorType option.
executorType(String) - Static method in class org.tensorflow.op.core.StatefulPartitionedCall: Sets the executorType option.
executorType(String) - Method in class org.tensorflow.op.core.StatefulPartitionedCall.Options: Sets the executorType option.
exit(Operand) - Method in class org.tensorflow.op.Ops: Exits the current frame to its parent frame.
Exit<T> - Class in org.tensorflow.op.core: Exits the current frame to its parent frame.
Exit(Operation) - Constructor for class org.tensorflow.op.core.Exit
EXIT_CODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RequestedExitCode
EXIT_CODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WorkerHeartbeatRequest
Exit.Inputs<T> - Class in org.tensorflow.op.core
exitWithoutError - Variable in class org.tensorflow.op.core.Abort.Inputs: The exitWithoutError attribute
exitWithoutError(Boolean) - Static method in class org.tensorflow.op.core.Abort: Sets the exitWithoutError option.
exitWithoutError(Boolean) - Method in class org.tensorflow.op.core.Abort.Options: Sets the exitWithoutError option.
exp(Operand) - Method in class org.tensorflow.op.MathOps: Computes exponential of x element-wise.
Exp<T> - Class in org.tensorflow.op.math: Computes exponential of x element-wise.
Exp(Operation) - Constructor for class org.tensorflow.op.math.Exp
Exp.Inputs<T> - Class in org.tensorflow.op.math
expandAnimations - Variable in class org.tensorflow.op.image.DecodeImage.Inputs: Controls the output shape of the returned op.
expandAnimations(Boolean) - Static method in class org.tensorflow.op.image.DecodeImage: Sets the expandAnimations option.
expandAnimations(Boolean) - Method in class org.tensorflow.op.image.DecodeImage.Options: Sets the expandAnimations option.
expandDims(Operand, Operand) - Method in class org.tensorflow.op.Ops: Inserts a dimension of 1 into a tensor's shape.
ExpandDims<T> - Class in org.tensorflow.op.core: Inserts a dimension of 1 into a tensor's shape.
ExpandDims(Operation) - Constructor for class org.tensorflow.op.core.ExpandDims
ExpandDims.Inputs<T> - Class in org.tensorflow.op.core
expect(Class) - Method in class org.tensorflow.Output: Returns this Output object with the type Output.
experimental - Variable in class org.tensorflow.op.DataOps
experimental - Variable in class org.tensorflow.op.RandomOps
EXPERIMENTAL_BOTH - Enum constant in enum org.tensorflow.proto.RewriterConfig.Toggle: Run both MLIR and Grappler passes consecutively and MLIR pass will come first.
EXPERIMENTAL_BOTH_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.Toggle: Run both MLIR and Grappler passes consecutively and MLIR pass will come first.
EXPERIMENTAL_CONDITIONAL_CODE_MOTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
EXPERIMENTAL_DEBUG_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeDef
EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
EXPERIMENTAL_DISABLE_FOLDING_QUANTIZATION_EMULATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
EXPERIMENTAL_DISTRIBUTED_VARIABLE_COMPONENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
EXPERIMENTAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
EXPERIMENTAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions
EXPERIMENTAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunOptions
EXPERIMENTAL_FULL_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.ArgDef
EXPERIMENTAL_MLIR - Enum constant in enum org.tensorflow.proto.RewriterConfig.Toggle: Run MLIR pass if there's one implemented in TFG, do nothing otherwise.
EXPERIMENTAL_MLIR_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.Toggle: Run MLIR pass if there's one implemented in TFG, do nothing otherwise.
EXPERIMENTAL_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeDef
experimentName - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The experimentName input
expint(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The Expint operation
Expint<T> - Class in org.tensorflow.op.math.special: The Expint operation
Expint(Operation) - Constructor for class org.tensorflow.op.math.special.Expint
Expint.Inputs<T> - Class in org.tensorflow.op.math.special
EXPLANATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDeprecation
EXPLICIT - Enum constant in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Running operations with input tensors on the wrong device will fail.
explicitPadding - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: If padding is "EXPLICIT", must be set as a list indicating the explicit paddings at the start and end of each lhs spatial dimension.
explicitPadding - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: If padding Attr is "EXPLICIT", must be set as a list indicating the explicit paddings at the start and end of each lhs spatial dimension.
explicitPadding(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the explicitPadding option.
explicitPadding(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the explicitPadding option.
explicitPadding(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the explicitPadding option.
explicitPadding(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the explicitPadding option.
explicitPadding(List) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the explicitPadding option.
explicitPadding(List) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the explicitPadding option.
explicitPadding(List) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the explicitPadding option.
explicitPadding(List) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the explicitPadding option.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv.Inputs: If padding is "EXPLICIT", the list of explicit padding amounts.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: If padding is "EXPLICIT", the list of explicit padding amounts.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: If padding is "EXPLICIT", the list of explicit padding amounts.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: If padding is "EXPLICIT", the list of explicit padding amounts.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: If padding is "EXPLICIT", the list of explicit padding amounts.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: If padding is "EXPLICIT", the list of explicit padding amounts.
explicitPaddings - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The explicitPaddings attribute
explicitPaddings - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: The explicitPaddings attribute
explicitPaddings - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: The explicitPaddings attribute
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the explicitPaddings option.
explicitPaddings(List) - Static method in class org.tensorflow.op.nn.Conv: Sets the explicitPaddings option.
explicitPaddings(List) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the explicitPaddings option.
explicitPaddings(List) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the explicitPaddings option.
explicitPaddings(List) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the explicitPaddings option.
explicitPaddings(List) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the explicitPaddings option.
explicitPaddings(List) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the explicitPaddings option.
explicitPaddings(List) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Sets the explicitPaddings option.
explicitPaddings(List) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Options: Sets the explicitPaddings option.
explicitPaddings(List) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the explicitPaddings option.
explicitPaddings(List) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the explicitPaddings option.
explicitPaddings(List) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Sets the explicitPaddings option.
explicitPaddings(List) - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Options: Sets the explicitPaddings option.
explicitPaddings(List) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the explicitPaddings option.
explicitPaddings(List) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the explicitPaddings option.
explicitPaddings(List) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the explicitPaddings option.
explicitPaddings(List) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the explicitPaddings option.
explicitPaddings(List) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the explicitPaddings option.
explicitPaddings(List) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the explicitPaddings option.
expm1(Operand) - Method in class org.tensorflow.op.MathOps: Computes exp(x) - 1 element-wise.
Expm1<T> - Class in org.tensorflow.op.math: Computes exp(x) - 1 element-wise. i.e.
Expm1(Operation) - Constructor for class org.tensorflow.op.math.Expm1
Expm1.Inputs<T> - Class in org.tensorflow.op.math
exponent - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The exponent attribute
exponent - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The exponent attribute
exponent - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The exponent attribute
exponential(Ops, Operand) - Static method in class org.tensorflow.framework.activations.Exponential: Computes the Exponential activation function.
Exponential - Class in org.tensorflow.framework.activations: Exponential activation function.
Exponential() - Constructor for class org.tensorflow.framework.activations.Exponential: Creates an Exponential activation.
Exponential(Map) - Constructor for class org.tensorflow.framework.activations.Exponential: Creates a new Exponential from a configuration Map
EXPONENTIAL - Enum constant in enum org.tensorflow.framework.activations.Activations
exponentialAvgFactor - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: The exponentialAvgFactor attribute
exponentialAvgFactor(Float) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Sets the exponentialAvgFactor option.
exponentialAvgFactor(Float) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options: Sets the exponentialAvgFactor option.
export() - Method in class org.tensorflow.SavedModelBundle.Exporter: Save the model into the export directory.
exporter(String) - Static method in class org.tensorflow.SavedModelBundle: Export a saved model.
EXTENSION_TYPE_SPEC - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: Subclasses of tf.ExtensionType
EXTENSION_TYPE_SPEC_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: Subclasses of tf.ExtensionType
EXTENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorSliceProto
EXTERNAL_STATE_POLICY - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalExternalStatePolicyCase
EXTERNAL_STATE_POLICY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.Options
EXTERNAL_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ValuesDef
externalStatePolicy - Variable in class org.tensorflow.op.data.DatasetToGraph.Inputs: The externalStatePolicy attribute
externalStatePolicy - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The externalStatePolicy attribute
externalStatePolicy - Variable in class org.tensorflow.op.data.SerializeIterator.Inputs: The externalStatePolicy attribute
externalStatePolicy(Long) - Static method in class org.tensorflow.op.data.DatasetToGraph: Sets the externalStatePolicy option.
externalStatePolicy(Long) - Method in class org.tensorflow.op.data.DatasetToGraph.Options: Sets the externalStatePolicy option.
externalStatePolicy(Long) - Static method in class org.tensorflow.op.data.SerializeIterator: Sets the externalStatePolicy option.
externalStatePolicy(Long) - Method in class org.tensorflow.op.data.SerializeIterator.Options: Sets the externalStatePolicy option.
extractGlimpse(Operand, Operand, Operand, ExtractGlimpse.Options...) - Method in class org.tensorflow.op.ImageOps: Extracts a glimpse from the input tensor.
ExtractGlimpse - Class in org.tensorflow.op.image: Extracts a glimpse from the input tensor.
ExtractGlimpse(Operation) - Constructor for class org.tensorflow.op.image.ExtractGlimpse
ExtractGlimpse.Inputs - Class in org.tensorflow.op.image
ExtractGlimpse.Options - Class in org.tensorflow.op.image: Optional attributes for ExtractGlimpse
extractImagePatches(Operand, List, List, List, String) - Method in class org.tensorflow.op.ImageOps: Extract patches from images and put them in the "depth" output dimension.
ExtractImagePatches<T> - Class in org.tensorflow.op.image: Extract patches from images and put them in the "depth" output dimension.
ExtractImagePatches(Operation) - Constructor for class org.tensorflow.op.image.ExtractImagePatches
ExtractImagePatches.Inputs<T> - Class in org.tensorflow.op.image
extractJpegShape(Operand) - Method in class org.tensorflow.op.ImageOps: Extract the shape information of a JPEG-encoded image.
extractJpegShape(Operand, Class) - Method in class org.tensorflow.op.ImageOps: Extract the shape information of a JPEG-encoded image.
ExtractJpegShape<T> - Class in org.tensorflow.op.image: Extract the shape information of a JPEG-encoded image.
ExtractJpegShape(Operation) - Constructor for class org.tensorflow.op.image.ExtractJpegShape
ExtractJpegShape.Inputs - Class in org.tensorflow.op.image
extractVolumePatches(Operand, List, List, String) - Method in class org.tensorflow.op.Ops: Extract patches from input and put them in the "depth" output dimension. 3D extension of extract_image_patches.
ExtractVolumePatches<T> - Class in org.tensorflow.op.core: Extract patches from input and put them in the "depth" output dimension. 3D extension of extract_image_patches.
ExtractVolumePatches(Operation) - Constructor for class org.tensorflow.op.core.ExtractVolumePatches
ExtractVolumePatches.Inputs<T> - Class in org.tensorflow.op.core
extrapolationValue - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: Value used for extrapolation, when applicable.
extrapolationValue(Float) - Static method in class org.tensorflow.op.image.CropAndResize: Sets the extrapolationValue option.
extrapolationValue(Float) - Method in class org.tensorflow.op.image.CropAndResize.Options: Sets the extrapolationValue option.
EXTRAS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BenchmarkEntry

F

f - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The forget gate over the whole time sequence.
f - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The forget gate.
f() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets f.
f() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets f.
F - Enum constant in enum org.tensorflow.proto.AttrValue.ValueCase
F_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue
F_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue.ListValue
fact() - Method in class org.tensorflow.op.math.Fact: Gets fact.
fact() - Method in class org.tensorflow.op.MathOps: Output a fact about factorials.
Fact - Class in org.tensorflow.op.math: Output a fact about factorials.
Fact(Operation) - Constructor for class org.tensorflow.op.math.Fact
Fact.Inputs - Class in org.tensorflow.op.math
FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
FAILED_PRECONDITION - Enum constant in enum org.tensorflow.proto.error.Code: Operation was rejected because the system is not in a state required for the operation's execution.
FAILED_PRECONDITION_VALUE - Static variable in enum org.tensorflow.proto.error.Code: Operation was rejected because the system is not in a state required for the operation's execution.
fakeDtypes - Variable in class org.tensorflow.op.core.MapStage.Inputs: The fakeDtypes attribute
fakeDtypes - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: The fakeDtypes attribute
fakeParam(Class, Shape) - Method in class org.tensorflow.op.Ops: This op is used as a placeholder in If branch functions.
FakeParam<T> - Class in org.tensorflow.op.core: This op is used as a placeholder in If branch functions.
FakeParam(Operation) - Constructor for class org.tensorflow.op.core.FakeParam
FakeParam.Inputs - Class in org.tensorflow.op.core
fakeQuantWithMinMaxArgs(Operand, FakeQuantWithMinMaxArgs.Options...) - Method in class org.tensorflow.op.QuantizationOps: Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same shape and type.
FakeQuantWithMinMaxArgs - Class in org.tensorflow.op.quantization: Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same shape and type.
FakeQuantWithMinMaxArgs(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs
FakeQuantWithMinMaxArgs.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxArgs.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxArgs
fakeQuantWithMinMaxArgsGradient(Operand, Operand, FakeQuantWithMinMaxArgsGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps: Compute gradients for a FakeQuantWithMinMaxArgs operation.
FakeQuantWithMinMaxArgsGradient - Class in org.tensorflow.op.quantization: Compute gradients for a FakeQuantWithMinMaxArgs operation.
FakeQuantWithMinMaxArgsGradient(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient
FakeQuantWithMinMaxArgsGradient.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxArgsGradient.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxArgsGradient
fakeQuantWithMinMaxVars(Operand, Operand, Operand, FakeQuantWithMinMaxVars.Options...) - Method in class org.tensorflow.op.QuantizationOps: Fake-quantize the 'inputs' tensor of type float via global float scalars Fake-quantize the inputs tensor of type float via global float scalars min and max to outputs tensor of same shape as inputs.
FakeQuantWithMinMaxVars - Class in org.tensorflow.op.quantization: Fake-quantize the 'inputs' tensor of type float via global float scalars Fake-quantize the inputs tensor of type float via global float scalars min and max to outputs tensor of same shape as inputs.
FakeQuantWithMinMaxVars(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars
FakeQuantWithMinMaxVars.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxVars.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxVars
fakeQuantWithMinMaxVarsGradient(Operand, Operand, Operand, Operand, FakeQuantWithMinMaxVarsGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps: Compute gradients for a FakeQuantWithMinMaxVars operation.
FakeQuantWithMinMaxVarsGradient - Class in org.tensorflow.op.quantization: Compute gradients for a FakeQuantWithMinMaxVars operation.
FakeQuantWithMinMaxVarsGradient(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient
FakeQuantWithMinMaxVarsGradient.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxVarsGradient.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxVarsGradient
fakeQuantWithMinMaxVarsPerChannel(Operand, Operand, Operand, FakeQuantWithMinMaxVarsPerChannel.Options...) - Method in class org.tensorflow.op.QuantizationOps: Fake-quantize the 'inputs' tensor of type float via per-channel floats Fake-quantize the inputs tensor of type float per-channel and one of the shapes: [d], [b, d] [b, h, w, d] via per-channel floats min and max of shape [d] to outputs tensor of same shape as inputs.
FakeQuantWithMinMaxVarsPerChannel - Class in org.tensorflow.op.quantization: Fake-quantize the 'inputs' tensor of type float via per-channel floats Fake-quantize the inputs tensor of type float per-channel and one of the shapes: [d], [b, d] [b, h, w, d] via per-channel floats min and max of shape [d] to outputs tensor of same shape as inputs.
FakeQuantWithMinMaxVarsPerChannel(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel
FakeQuantWithMinMaxVarsPerChannel.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxVarsPerChannel.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxVarsPerChannel
fakeQuantWithMinMaxVarsPerChannelGradient(Operand, Operand, Operand, Operand, FakeQuantWithMinMaxVarsPerChannelGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps: Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
FakeQuantWithMinMaxVarsPerChannelGradient - Class in org.tensorflow.op.quantization: Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
FakeQuantWithMinMaxVarsPerChannelGradient(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient
FakeQuantWithMinMaxVarsPerChannelGradient.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxVarsPerChannelGradient.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxVarsPerChannelGradient
fakeQueue(Operand) - Method in class org.tensorflow.op.IoOps: Deprecated.
FakeQueue - Class in org.tensorflow.op.io: Deprecated.
FakeQueue(Operation) - Constructor for class org.tensorflow.op.io.FakeQueue
FakeQueue.Inputs - Class in org.tensorflow.op.io
FALSE_NEGATIVES - Static variable in class org.tensorflow.framework.metrics.AUC
FALSE_NEGATIVES - Static variable in class org.tensorflow.framework.metrics.PrecisionAtRecall
FALSE_NEGATIVES - Static variable in class org.tensorflow.framework.metrics.RecallAtPrecision
FALSE_NEGATIVES - Static variable in class org.tensorflow.framework.metrics.SensitivityAtSpecificity
FALSE_NEGATIVES - Static variable in class org.tensorflow.framework.metrics.SpecificityAtSensitivity
FALSE_NEGATIVES - Static variable in class org.tensorflow.framework.metrics.Recall
FALSE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.AUC
FALSE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.PrecisionAtRecall
FALSE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.RecallAtPrecision
FALSE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.SensitivityAtSpecificity
FALSE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.SpecificityAtSensitivity
FALSE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.Precision
falseNegatives - Variable in class org.tensorflow.framework.metrics.PrecisionAtRecall
falseNegatives - Variable in class org.tensorflow.framework.metrics.RecallAtPrecision
falseNegatives - Variable in class org.tensorflow.framework.metrics.SensitivityAtSpecificity
falseNegatives - Variable in class org.tensorflow.framework.metrics.SpecificityAtSensitivity
FalseNegatives<T> - Class in org.tensorflow.framework.metrics: Metric that calculates the number of false negatives.
FalseNegatives(float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.FalseNegatives: Creates a FalseNegatives metric, using Class.getSimpleName() for the metric name
FalseNegatives(float, long, Class) - Constructor for class org.tensorflow.framework.metrics.FalseNegatives: Creates a FalseNegatives metric, using Class.getSimpleName() for the metric name
FalseNegatives(long, Class) - Constructor for class org.tensorflow.framework.metrics.FalseNegatives: Creates a FalseNegatives metric, using Class.getSimpleName() for the metric name and a default threshold of ConfusionMatrixConditionCount.DEFAULT_THRESHOLD.
FalseNegatives(String, float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.FalseNegatives: Creates a FalseNegatives metric
FalseNegatives(String, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.FalseNegatives: Creates a FalseNegatives metric
FalseNegatives(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.FalseNegatives: Creates a FalseNegatives metric, using a default threshold of ConfusionMatrixConditionCount.DEFAULT_THRESHOLD.
falsePositives - Variable in class org.tensorflow.framework.metrics.PrecisionAtRecall
falsePositives - Variable in class org.tensorflow.framework.metrics.RecallAtPrecision
falsePositives - Variable in class org.tensorflow.framework.metrics.SensitivityAtSpecificity
falsePositives - Variable in class org.tensorflow.framework.metrics.SpecificityAtSensitivity
FalsePositives<T> - Class in org.tensorflow.framework.metrics: Metric that calculates the number of false positives.
FalsePositives(float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.FalsePositives: Creates a FalsePositives metric, using Class.getSimpleName() for the metric name
FalsePositives(float, long, Class) - Constructor for class org.tensorflow.framework.metrics.FalsePositives: Creates a FalsePositives metric, using Class.getSimpleName() for the metric name
FalsePositives(long, Class) - Constructor for class org.tensorflow.framework.metrics.FalsePositives: Creates a FalsePositives metric, using Class.getSimpleName() for the metric name and a default threshold of ConfusionMatrixConditionCount.DEFAULT_THRESHOLD.
FalsePositives(String, float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.FalsePositives: Creates a FalsePositives metric
FalsePositives(String, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.FalsePositives: Creates a FalsePositives metric
FalsePositives(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.FalsePositives: Creates a FalsePositives metric, using a default threshold of ConfusionMatrixConditionCount.DEFAULT_THRESHOLD.
FAN_AVG - Enum constant in enum org.tensorflow.framework.initializers.VarianceScaling.Mode
FAN_IN - Enum constant in enum org.tensorflow.framework.initializers.VarianceScaling.Mode
FAN_OUT - Enum constant in enum org.tensorflow.framework.initializers.VarianceScaling.Mode
fancyUpscaling - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: If true use a slower but nicer upscaling of the chroma planes (yuv420/422 only).
fancyUpscaling - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: If true use a slower but nicer upscaling of the chroma planes (yuv420/422 only).
fancyUpscaling(Boolean) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the fancyUpscaling option.
fancyUpscaling(Boolean) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the fancyUpscaling option.
fancyUpscaling(Boolean) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the fancyUpscaling option.
fancyUpscaling(Boolean) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the fancyUpscaling option.
fast - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The fast attribute
fast - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: The fast attribute
fast(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolveLs: Sets the fast option.
fast(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Options: Sets the fast option.
fast(Boolean) - Static method in class org.tensorflow.op.linalg.MatrixSolveLs: Sets the fast option.
fast(Boolean) - Method in class org.tensorflow.op.linalg.MatrixSolveLs.Options: Sets the fast option.
FATAL - Enum constant in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

FATAL = 50;
FATAL_VALUE - Static variable in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

FATAL = 50;
FAULT_TOLERANT_MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
Feature - Class in org.tensorflow.proto: Containers for non-sequential data.
FEATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FeatureList
FEATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Features
FEATURE_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FeatureLists
FEATURE_LISTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SequenceExample
FEATURE_MAP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ExampleParserConfiguration
Feature.Builder - Class in org.tensorflow.proto: Containers for non-sequential data.
Feature.KindCase - Enum in org.tensorflow.proto
FeatureConfiguration - Class in org.tensorflow.proto: Protobuf type tensorflow.FeatureConfiguration
FeatureConfiguration.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.FeatureConfiguration
FeatureConfiguration.ConfigCase - Enum in org.tensorflow.proto
FeatureConfigurationOrBuilder - Interface in org.tensorflow.proto
featureGroupCount - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The number of feature groups.
featureGroupCount - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The number of feature groups.
featureGroupCount(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the featureGroupCount option.
featureGroupCount(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the featureGroupCount option.
featureGroupCount(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the featureGroupCount option.
featureGroupCount(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the featureGroupCount option.
FeatureList - Class in org.tensorflow.proto: Containers for sequential data.
FeatureList.Builder - Class in org.tensorflow.proto: Containers for sequential data.
featureListDenseKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the SequenceExamples' feature_lists associated with lists of dense values.
featureListDenseKeys - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Nfeature_list_dense string Tensors (scalars).
featureListDenseLengths() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListDenseLengths.
featureListDenseMissingAssumedEmpty - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A vector corresponding 1:1 with feature_list_dense_keys, indicating which features may be missing from the SequenceExamples.
featureListDenseMissingAssumedEmpty - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A vector listing the FeatureList keys which may be missing from the SequenceExample.
featureListDenseShapes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Nfeature_list_dense shapes; the shapes of data in each FeatureList given in feature_list_dense_keys.
featureListDenseShapes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Nfeature_list_dense shapes; the shapes of data in each FeatureList given in feature_list_dense_keys.
featureListDenseShapes(List) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the featureListDenseShapes option.
featureListDenseShapes(List) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the featureListDenseShapes option.
featureListDenseShapes(List) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the featureListDenseShapes option.
featureListDenseShapes(List) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the featureListDenseShapes option.
featureListDenseShapes(Shape...) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the featureListDenseShapes option.
featureListDenseShapes(Shape...) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the featureListDenseShapes option.
featureListDenseShapes(Shape...) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the featureListDenseShapes option.
featureListDenseShapes(Shape...) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the featureListDenseShapes option.
featureListDenseTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The featureListDenseTypes attribute
featureListDenseTypes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: The featureListDenseTypes attribute
featureListDenseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListDenseValues.
featureListDenseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets featureListDenseValues.
FeatureListOrBuilder - Interface in org.tensorflow.proto
featureListRaggedInnerSplits() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListRaggedInnerSplits.
featureListRaggedKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the FeatureLists associated with ragged values.
featureListRaggedOuterSplits() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListRaggedOuterSplits.
featureListRaggedSplitTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: RaggedTensor.row_split dtypes for the ragged FeatureList features.
featureListRaggedValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListRaggedValues.
featureListRaggedValueTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: RaggedTensor.value dtypes for the ragged FeatureList features.
FeatureLists - Class in org.tensorflow.proto: Protobuf type tensorflow.FeatureLists
FeatureLists.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.FeatureLists
FeatureListsOrBuilder - Interface in org.tensorflow.proto
featureListSparseIndices() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListSparseIndices.
featureListSparseIndices() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets featureListSparseIndices.
featureListSparseKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the FeatureLists associated with sparse values.
featureListSparseKeys - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Nfeature_list_sparse string Tensors (scalars).
featureListSparseShapes() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListSparseShapes.
featureListSparseShapes() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets featureListSparseShapes.
featureListSparseTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Nfeature_list_sparse types; the data types of data in each FeatureList given in feature_list_sparse_keys.
featureListSparseTypes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Nfeature_list_sparse types; the data types of data in each FeatureList given in feature_list_sparse_keys.
featureListSparseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListSparseValues.
featureListSparseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets featureListSparseValues.
FeatureOrBuilder - Interface in org.tensorflow.proto
FeatureProtos - Class in org.tensorflow.proto
features - Variable in class org.tensorflow.op.data.LeakyReluGrad.Inputs: The features passed as input to the corresponding LeakyRelu operation, OR the outputs of that operation (both work equivalently).
features - Variable in class org.tensorflow.op.math.Softplus.Inputs: The features input
features - Variable in class org.tensorflow.op.math.SoftplusGrad.Inputs: The features passed as input to the corresponding softplus operation.
features - Variable in class org.tensorflow.op.nn.Elu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.LeakyRelu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.Relu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.Relu6.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.Relu6Grad.Inputs: The features passed as input to the corresponding Relu6 operation, or its output; using either one produces the same result.
features - Variable in class org.tensorflow.op.nn.ReluGrad.Inputs: The features passed as input to the corresponding Relu operation, OR the outputs of that operation (both work equivalently).
features - Variable in class org.tensorflow.op.nn.Selu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits.Inputs: batch_size x num_classes matrix
features - Variable in class org.tensorflow.op.nn.Softsign.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.SoftsignGrad.Inputs: The features passed as input to the corresponding softsign operation.
features - Variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs: batch_size x num_classes matrix
Features - Class in org.tensorflow.proto: Protobuf type tensorflow.Features
FEATURES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Example
Features.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.Features
FeaturesOrBuilder - Interface in org.tensorflow.proto
featureWidth - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.xla.XlaSparseCoreSgd.Inputs: The featureWidth attribute
feed(String, int, Tensor) - Method in class org.tensorflow.Session.Runner: Avoid evaluating the index-th output of operation by substituting t for the value it produces.
feed(String, Tensor) - Method in class org.tensorflow.Session.Runner: Avoid evaluating operation and substitute t for the value it produces.
feed(Operand, Tensor) - Method in class org.tensorflow.Session.Runner: Use t instead of the Tensor referred to by executing the operation referred to by operand.
FEED_DEVICES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CallableOptions
FEED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CallableOptions
fetch(String) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() return the output of operation.
fetch(String, int) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() return the index-th output of operation.
fetch(Operand) - Method in class org.tensorflow.Session.Runner: Makes Session.Runner.run() return the Tensor referred to by the output of operand.
fetch(Output) - Method in class org.tensorflow.Session.Runner: Makes Session.Runner.run() return the Tensor referred to by output.
FETCH_DEVICES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CallableOptions
FETCH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CallableOptions
FETCH_SKIP_SYNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CallableOptions
fft(Operand) - Method in class org.tensorflow.op.SignalOps: Fast Fourier transform.
Fft<T> - Class in org.tensorflow.op.signal: Fast Fourier transform.
Fft(Operation) - Constructor for class org.tensorflow.op.signal.Fft
Fft.Inputs<T> - Class in org.tensorflow.op.signal
fft2d(Operand) - Method in class org.tensorflow.op.SignalOps: 2D fast Fourier transform.
Fft2d<T> - Class in org.tensorflow.op.signal: 2D fast Fourier transform.
Fft2d(Operation) - Constructor for class org.tensorflow.op.signal.Fft2d
Fft2d.Inputs<T> - Class in org.tensorflow.op.signal
fft3d(Operand) - Method in class org.tensorflow.op.SignalOps: 3D fast Fourier transform.
Fft3d<T> - Class in org.tensorflow.op.signal: 3D fast Fourier transform.
Fft3d(Operation) - Constructor for class org.tensorflow.op.signal.Fft3d
Fft3d.Inputs<T> - Class in org.tensorflow.op.signal
fftLength - Variable in class org.tensorflow.op.signal.FftNd.Inputs: An int32 tensor.
fftLength - Variable in class org.tensorflow.op.signal.IfftNd.Inputs: An int32 tensor.
fftLength - Variable in class org.tensorflow.op.signal.Irfft.Inputs: An int32 tensor of shape [1].
fftLength - Variable in class org.tensorflow.op.signal.Irfft2d.Inputs: An int32 tensor of shape [2].
fftLength - Variable in class org.tensorflow.op.signal.Irfft3d.Inputs: An int32 tensor of shape [3].
fftLength - Variable in class org.tensorflow.op.signal.IrfftNd.Inputs: An int32 tensor.
fftLength - Variable in class org.tensorflow.op.signal.Rfft.Inputs: An int32 tensor of shape [1].
fftLength - Variable in class org.tensorflow.op.signal.Rfft2d.Inputs: An int32 tensor of shape [2].
fftLength - Variable in class org.tensorflow.op.signal.Rfft3d.Inputs: An int32 tensor of shape [3].
fftLength - Variable in class org.tensorflow.op.signal.RfftNd.Inputs: An int32 tensor.
fftNd(Operand, Operand, Operand) - Method in class org.tensorflow.op.SignalOps: ND fast Fourier transform.
FftNd<T> - Class in org.tensorflow.op.signal: ND fast Fourier transform.
FftNd(Operation) - Constructor for class org.tensorflow.op.signal.FftNd
FftNd.Inputs<T> - Class in org.tensorflow.op.signal
fieldDelim - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The fieldDelim input
fieldDelim - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The fieldDelim input
fieldDelim - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: char delimiter to separate fields in a record.
fieldDelim(String) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the fieldDelim option.
fieldDelim(String) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the fieldDelim option.
fieldNames - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: List of strings containing proto field names.
fieldNames - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: List of strings containing proto field names.
FIELDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.DictValue
fifoQueue(List, FifoQueue.Options...) - Method in class org.tensorflow.op.IoOps: A queue that produces elements in first-in first-out order.
FifoQueue - Class in org.tensorflow.op.io: A queue that produces elements in first-in first-out order.
FifoQueue(Operation) - Constructor for class org.tensorflow.op.io.FifoQueue
FifoQueue.Inputs - Class in org.tensorflow.op.io
FifoQueue.Options - Class in org.tensorflow.op.io: Optional attributes for FifoQueue
FILE - Enum constant in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: The following are static sharding policies.
FILE - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: FILE: Shards by input files (i.e. each worker will get a set of files to process).
FILE_INDEX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
FILE_LINE_COL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.StackFrameWithId
FILE_LINE_COLS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDebugInfo.StackTrace
FILE_OR_DATA - Enum constant in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Attempts FILE-based sharding, falling back to DATA-based sharding on failures.
FILE_OR_DATA_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Attempts FILE-based sharding, falling back to DATA-based sharding on failures.
FILE_PATH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedSourceFile
FILE_PATH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SourceFile
FILE_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: The following are static sharding policies.
FILE_VALUE - Static variable in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: FILE: Shards by input files (i.e. each worker will get a set of files to process).
FILE_VERSION - Enum constant in enum org.tensorflow.proto.Event.WhatCase
FILE_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugMetadata
FILE_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Event
fileBufferSize - Variable in class org.tensorflow.op.random.RecordInput.Inputs: The randomization shuffling buffer.
fileBufferSize(Long) - Static method in class org.tensorflow.op.random.RecordInput: Sets the fileBufferSize option.
fileBufferSize(Long) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the fileBufferSize option.
filename - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Filename of a vocabulary text file.
filename - Variable in class org.tensorflow.op.core.Skipgram.Inputs: The corpus's text file name.
filename - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The filename input
filename - Variable in class org.tensorflow.op.data.DatasetToTfRecord.Inputs: A scalar string tensor representing the filename to use.
filename - Variable in class org.tensorflow.op.data.experimental.DatasetToTFRecord.Inputs: A scalar string tensor representing the filename to use.
filename - Variable in class org.tensorflow.op.io.ReadFile.Inputs: The filename input
filename - Variable in class org.tensorflow.op.io.WriteFile.Inputs: scalar.
filename - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: Must have a single element.
filename() - Method in class org.tensorflow.op.io.ShardedFilename: Gets filename.
filename() - Method in class org.tensorflow.op.io.ShardedFilespec: Gets filename.
FILENAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AssetFileDef
FILENAME_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SaverDef
filenames - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The filenames input
filenames - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The filenames input
filenames - Variable in class org.tensorflow.op.data.experimental.LmdbDataset.Inputs: The filenames input
filenames - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The filenames input
filenames - Variable in class org.tensorflow.op.data.LMDBDataset.Inputs: A scalar or a vector containing the name(s) of the binary file(s) to be read.
filenames - Variable in class org.tensorflow.op.data.TextLineDataset.Inputs: A scalar or a vector containing the name(s) of the file(s) to be read.
filenames - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: A scalar or vector containing the name(s) of the file(s) to be read.
filenames() - Method in class org.tensorflow.op.io.MatchingFiles: Gets filenames.
filenameSuffix - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The filenameSuffix input
fileParallelism - Variable in class org.tensorflow.op.random.RecordInput.Inputs: How many sstables are opened and concurrently iterated over.
fileParallelism(Long) - Static method in class org.tensorflow.op.random.RecordInput: Sets the fileParallelism option.
fileParallelism(Long) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the fileParallelism option.
filePattern - Variable in class org.tensorflow.op.random.RecordInput.Inputs: Glob pattern for the data files.
filePattern - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: Must have a single element.
fileRandomSeed - Variable in class org.tensorflow.op.random.RecordInput.Inputs: Random seeds used to produce randomized records.
fileRandomSeed(Long) - Static method in class org.tensorflow.op.random.RecordInput: Sets the fileRandomSeed option.
fileRandomSeed(Long) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the fileRandomSeed option.
FILES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDebugInfo
fileShuffleShiftRatio - Variable in class org.tensorflow.op.random.RecordInput.Inputs: Shifts the list of files after the list is randomly shuffled.
fileShuffleShiftRatio(Float) - Static method in class org.tensorflow.op.random.RecordInput: Sets the fileShuffleShiftRatio option.
fileShuffleShiftRatio(Float) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the fileShuffleShiftRatio option.
fileSystemSetConfiguration(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Set configuration of the file system.
FileSystemSetConfiguration - Class in org.tensorflow.op.core: Set configuration of the file system.
FileSystemSetConfiguration(Operation) - Constructor for class org.tensorflow.op.core.FileSystemSetConfiguration
FileSystemSetConfiguration.Inputs - Class in org.tensorflow.op.core
fill - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: The value to pad if width > -1.
fill(String) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the fill option.
fill(String) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the fill option.
fill(Operand, Operand) - Method in class org.tensorflow.op.Ops: Creates a tensor filled with a scalar value.
Fill - Class in org.tensorflow.op.core: Creates a tensor filled with a scalar value.
Fill(Operation) - Constructor for class org.tensorflow.op.core.Fill
Fill.Inputs - Class in org.tensorflow.op.core
fillMode - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: Fill mode, "REFLECT", "WRAP", or "CONSTANT".
fillMode - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: Fill mode, "REFLECT", "WRAP", "CONSTANT", or "NEAREST".
fillMode(String) - Static method in class org.tensorflow.op.image.ImageProjectiveTransformV2: Sets the fillMode option.
fillMode(String) - Method in class org.tensorflow.op.image.ImageProjectiveTransformV2.Options: Sets the fillMode option.
fillMode(String) - Static method in class org.tensorflow.op.image.ImageProjectiveTransformV3: Sets the fillMode option.
fillMode(String) - Method in class org.tensorflow.op.image.ImageProjectiveTransformV3.Options: Sets the fillMode option.
fillValue - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: float, the value to be filled when fill_mode is constant".
filter - Variable in class org.tensorflow.op.nn.Conv.Inputs: An (N+2)-D Tensor with the same type as input and shape spatial_filter_shape + [in_channels, out_channels], where spatial_filter_shape is N-dimensional with N=2 or N=3.
filter - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: A 4-D tensor of shape [filter_height, filter_width, in_channels, out_channels]
filter - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: Shape [filter_depth, filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: Shape [depth, rows, cols, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: 4-D with shape [filter_height, filter_width, in_channels, depthwise_multiplier].
filter - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: 3-D with shape [filter_height, filter_width, depth].
filter - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 3-D with shape [filter_height, filter_width, depth].
filter - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 3-D with shape [filter_height, filter_width, depth].
filter - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: filter's input_depth dimension must match input's depth dimensions.
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The original filter tensor.
FILTER_FUSION - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterFusionCase
FILTER_FUSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
FILTER_PARALLELIZATION - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterParallelizationCase
FILTER_PARALLELIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
filterBackprop() - Method in class org.tensorflow.op.nn.Dilation2dBackpropFilter: Gets filterBackprop. 3-D with shape [filter_height, filter_width, depth].
filterbankChannelCount - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: Resolution of the Mel bank used internally.
filterbankChannelCount(Long) - Static method in class org.tensorflow.op.audio.Mfcc: Sets the filterbankChannelCount option.
filterbankChannelCount(Long) - Method in class org.tensorflow.op.audio.Mfcc.Options: Sets the filterbankChannelCount option.
filterByLastComponentDataset(Operand, List, List) - Method in class org.tensorflow.op.DataOps: Creates a dataset containing elements of first component of input_dataset having true in the last component.
FilterByLastComponentDataset - Class in org.tensorflow.op.data: Creates a dataset containing elements of first component of input_dataset having true in the last component.
FilterByLastComponentDataset(Operation) - Constructor for class org.tensorflow.op.data.FilterByLastComponentDataset
FilterByLastComponentDataset.Inputs - Class in org.tensorflow.op.data
filterDataset(Operand, Iterable, ConcreteFunction, List, List, FilterDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset containing elements of input_dataset matching predicate.
FilterDataset - Class in org.tensorflow.op.data: Creates a dataset containing elements of input_dataset matching predicate.
FilterDataset(Operation) - Constructor for class org.tensorflow.op.data.FilterDataset
FilterDataset.Inputs - Class in org.tensorflow.op.data
FilterDataset.Options - Class in org.tensorflow.op.data: Optional attributes for FilterDataset
filterSizes - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: An integer vector representing the tensor shape of filter, where filter is a 4-D [filter_height, filter_width, in_channels, out_channels] tensor.
filterSizes - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: An integer vector representing the tensor shape of filter, where filter is a 5-D [filter_depth, filter_height, filter_width, in_channels, out_channels] tensor.
filterSizes - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: An integer vector representing the tensor shape of filter, where filter is a 4-D [filter_height, filter_width, in_channels, depthwise_multiplier] tensor.
FINALIZED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
finalizeDataset(Operand, List, List, FinalizeDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset by applying tf.data.Options to input_dataset.
FinalizeDataset - Class in org.tensorflow.op.data: Creates a dataset by applying tf.data.Options to input_dataset.
FinalizeDataset(Operation) - Constructor for class org.tensorflow.op.data.FinalizeDataset
FinalizeDataset.Inputs - Class in org.tensorflow.op.data
FinalizeDataset.Options - Class in org.tensorflow.op.data: Optional attributes for FinalizeDataset
finalizeFuncOtherArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The finalizeFuncOtherArgs input
finalizeFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for finalize_func.
finalizeFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for finalize_func.
finalizeTPUEmbedding(Operand, Operand) - Method in class org.tensorflow.op.TpuOps: An op that finalizes the TPUEmbedding configuration.
FinalizeTPUEmbedding - Class in org.tensorflow.op.tpu: An op that finalizes the TPUEmbedding configuration.
FinalizeTPUEmbedding(Operation) - Constructor for class org.tensorflow.op.tpu.FinalizeTPUEmbedding
FinalizeTPUEmbedding.Inputs - Class in org.tensorflow.op.tpu
finalOp - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The finalOp attribute
findGraph(TFJ_GraphId) - Static method in class org.tensorflow.Graph: Find the graph with the matching ID.
fingerprint() - Method in class org.tensorflow.op.core.Fingerprint: Gets fingerprint.
fingerprint() - Method in class org.tensorflow.op.data.DatasetFingerprint: Gets fingerprint.
fingerprint(Operand, Operand) - Method in class org.tensorflow.op.Ops: Generates fingerprint values.
Fingerprint - Class in org.tensorflow.op.core: Generates fingerprint values.
Fingerprint(Operation) - Constructor for class org.tensorflow.op.core.Fingerprint
Fingerprint.Inputs - Class in org.tensorflow.op.core
FingerprintDef - Class in org.tensorflow.proto: Protocol buffer representing a SavedModel Fingerprint.
FingerprintDef.Builder - Class in org.tensorflow.proto: Protocol buffer representing a SavedModel Fingerprint.
FingerprintDefOrBuilder - Interface in org.tensorflow.proto
FingerprintProtos - Class in org.tensorflow.proto
finish(List, String) - Method in class org.tensorflow.framework.optimizers.AdaGradDA: Gathers up the update operations into a single op that can be used as a run target.
finish(List, String) - Method in class org.tensorflow.framework.optimizers.Adam: Gathers up the update operations into a single op that can be used as a run target.
finish(List, String) - Method in class org.tensorflow.framework.optimizers.Adamax: Gathers up the update operations into a single op that can be used as a run target.
finish(List, String) - Method in class org.tensorflow.framework.optimizers.Nadam: Gathers up the update operations into a single op that can be used as a run target.
finish(List, String) - Method in class org.tensorflow.framework.optimizers.Optimizer: Gathers up the update operations into a single op that can be used as a run target.
FIRST_MOMENT - Static variable in class org.tensorflow.framework.optimizers.Adam
FIRST_MOMENT - Static variable in class org.tensorflow.framework.optimizers.Adamax
FIRST_MOMENT - Static variable in class org.tensorflow.framework.optimizers.Nadam
FIXED_LEN_FEATURE - Enum constant in enum org.tensorflow.proto.FeatureConfiguration.ConfigCase
FIXED_LEN_FEATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FeatureConfiguration
FixedLenFeatureProto - Class in org.tensorflow.proto: Protobuf type tensorflow.FixedLenFeatureProto
FixedLenFeatureProto.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.FixedLenFeatureProto
FixedLenFeatureProtoOrBuilder - Interface in org.tensorflow.proto
fixedLength - Variable in class org.tensorflow.op.io.DecodePaddedRaw.Inputs: Length in bytes for each element of the decoded output.
fixedLengthRecordDataset(Operand, Operand, Operand, Operand, Operand, Operand, FixedLengthRecordDataset.Options...) - Method in class org.tensorflow.op.DataOps: The FixedLengthRecordDatasetV2 operation
FixedLengthRecordDataset - Class in org.tensorflow.op.data: The FixedLengthRecordDatasetV2 operation
FixedLengthRecordDataset(Operation) - Constructor for class org.tensorflow.op.data.FixedLengthRecordDataset
FixedLengthRecordDataset.Inputs - Class in org.tensorflow.op.data
FixedLengthRecordDataset.Options - Class in org.tensorflow.op.data: Optional attributes for FixedLengthRecordDataset
fixedLengthRecordReader(Long, FixedLengthRecordReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs fixed-length records from a file.
FixedLengthRecordReader - Class in org.tensorflow.op.io: A Reader that outputs fixed-length records from a file.
FixedLengthRecordReader(Operation) - Constructor for class org.tensorflow.op.io.FixedLengthRecordReader
FixedLengthRecordReader.Inputs - Class in org.tensorflow.op.io
FixedLengthRecordReader.Options - Class in org.tensorflow.op.io: Optional attributes for FixedLengthRecordReader
fixedUnigramCandidateSampler(Operand, Long, Long, Boolean, Long, FixedUnigramCandidateSampler.Options...) - Method in class org.tensorflow.op.NnOps: Generates labels for candidate sampling with a learned unigram distribution.
FixedUnigramCandidateSampler - Class in org.tensorflow.op.nn: Generates labels for candidate sampling with a learned unigram distribution.
FixedUnigramCandidateSampler(Operation) - Constructor for class org.tensorflow.op.nn.FixedUnigramCandidateSampler
FixedUnigramCandidateSampler.Inputs - Class in org.tensorflow.op.nn
FixedUnigramCandidateSampler.Options - Class in org.tensorflow.op.nn: Optional attributes for FixedUnigramCandidateSampler
flatMapDataset(Operand, Iterable, ConcreteFunction, List, List, FlatMapDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
FlatMapDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
FlatMapDataset(Operation) - Constructor for class org.tensorflow.op.data.FlatMapDataset
FlatMapDataset.Inputs - Class in org.tensorflow.op.data
FlatMapDataset.Options - Class in org.tensorflow.op.data: Optional attributes for FlatMapDataset
flatten(Shape) - Method in class org.tensorflow.op.ShapeOps: Flatten the shape to 1 dimension.
flatten(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Flatten the shape to 1 dimension.
flatten(Scope, Shape) - Static method in class org.tensorflow.op.core.Shapes: Flatten the shape to 1 dimension.
flatten(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Flatten the shape to 1 dimension.
flatten(Scope, Operand) - Static method in class org.tensorflow.op.core.Shapes: Flatten the operand to 1 dimension.
flatten(Scope, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Flatten the operand to 1 dimension
flatten(Operand) - Method in class org.tensorflow.op.ShapeOps: Flatten the operand to 1 dimension.
flatten(Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Flatten the operand to 1 dimension
FLOAT_LIST - Enum constant in enum org.tensorflow.proto.CollectionDef.KindCase
FLOAT_LIST - Enum constant in enum org.tensorflow.proto.Feature.KindCase
FLOAT_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CollectionDef
FLOAT_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Feature
FLOAT_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
FLOAT64_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
FLOAT64_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
FLOAT8_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
FloatList - Class in org.tensorflow.proto: Protobuf type tensorflow.FloatList
FloatList.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.FloatList
FloatListOrBuilder - Interface in org.tensorflow.proto
floatTensor - Variable in class org.tensorflow.op.tpu.MergeDedupData.Inputs: A 1-D float tensor, includes float elements of deduplication data tuple.
floatTensor() - Method in class org.tensorflow.op.tpu.SplitDedupData: Gets floatTensor.
floatType - Variable in class org.tensorflow.op.tpu.MergeDedupData.Inputs: float_tensor type.
floatType - Variable in class org.tensorflow.op.tpu.SplitDedupData.Inputs: float_tensor type.
floor(Operand) - Method in class org.tensorflow.op.MathOps: Returns element-wise largest integer not greater than x.
Floor<T> - Class in org.tensorflow.op.math: Returns element-wise largest integer not greater than x.
Floor(Operation) - Constructor for class org.tensorflow.op.math.Floor
Floor.Inputs<T> - Class in org.tensorflow.op.math
floorDiv(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns x // y element-wise.
FloorDiv<T> - Class in org.tensorflow.op.math: Returns x // y element-wise.
FloorDiv(Operation) - Constructor for class org.tensorflow.op.math.FloorDiv
FloorDiv.Inputs<T> - Class in org.tensorflow.op.math
floorMod(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns element-wise remainder of division.
FloorMod<T> - Class in org.tensorflow.op.math: Returns element-wise remainder of division.
FloorMod(Operation) - Constructor for class org.tensorflow.op.math.FloorMod
FloorMod.Inputs<T> - Class in org.tensorflow.op.math
flow() - Method in class org.tensorflow.op.core.TensorArray: Gets flow.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayConcat.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayGrad.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayPack.Inputs: The flowIn input
flowIn - Variable in class org.tensorflow.op.core.TensorArrayRead.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArraySize.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayUnpack.Inputs: The flowIn input
flowIn - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: A float scalar that enforces proper chaining of operations.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayGrad: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayGradWithShape: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayScatter: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArraySplit: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayUnpack: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayWrite: Gets flowOut.
flushMillis - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The flushMillis input
flushSummaryWriter(Operand) - Method in class org.tensorflow.op.SummaryOps: The FlushSummaryWriter operation
FlushSummaryWriter - Class in org.tensorflow.op.summary: The FlushSummaryWriter operation
FlushSummaryWriter(Operation) - Constructor for class org.tensorflow.op.summary.FlushSummaryWriter
FlushSummaryWriter.Inputs - Class in org.tensorflow.op.summary
footerBytes - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The footerBytes input
footerBytes - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: Number of bytes in the footer, defaults to 0.
footerBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the footerBytes option.
footerBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the footerBytes option.
For - Class in org.tensorflow.op.core: Applies a for loop.
For(Operation) - Constructor for class org.tensorflow.op.core.For
For.Inputs - Class in org.tensorflow.op.core
FORCE_DISABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
FORCE_GPU_COMPATIBLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions
forceInitialize() - Method in class org.tensorflow.Session: Execute the graph's initializers, regardless of whether the session has been initialized.
forceSynchronous - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The forceSynchronous attribute
forceSynchronous - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The forceSynchronous attribute
forceSynchronous(Boolean) - Static method in class org.tensorflow.op.data.experimental.MapDataset: Sets the forceSynchronous option.
forceSynchronous(Boolean) - Method in class org.tensorflow.op.data.experimental.MapDataset.Options: Sets the forceSynchronous option.
forceSynchronous(Boolean) - Static method in class org.tensorflow.op.data.MapDataset: Sets the forceSynchronous option.
forceSynchronous(Boolean) - Method in class org.tensorflow.op.data.MapDataset.Options: Sets the forceSynchronous option.
forgetBias - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The forget gate bias.
forgetBias(Float) - Static method in class org.tensorflow.op.nn.LSTMBlockCell: Sets the forgetBias option.
forgetBias(Float) - Method in class org.tensorflow.op.nn.LSTMBlockCell.Options: Sets the forgetBias option.
format - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Per pixel image format.
format(String) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the format option.
format(String) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the format option.
formatStateVar - Variable in class org.tensorflow.op.tpu.TPUReshardVariables.Inputs: The formatStateVar input
forNumber(int) - Static method in enum org.tensorflow.proto.ApiDef.Visibility
forNumber(int) - Static method in enum org.tensorflow.proto.AttrValue.ValueCase
forNumber(int) - Static method in enum org.tensorflow.proto.BundleHeaderProto.Endianness
forNumber(int) - Static method in enum org.tensorflow.proto.CollectionDef.KindCase
forNumber(int) - Static method in enum org.tensorflow.proto.CommitId.KindCase
forNumber(int) - Static method in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout
forNumber(int) - Static method in enum org.tensorflow.proto.ControlFlowContextDef.CtxtCase
forNumber(int) - Static method in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource
forNumber(int) - Static method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression
forNumber(int) - Static method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.OptionalElementSpecCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DataService.DeploymentMode
forNumber(int) - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalAutotuneAlgorithmCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalCpuBudgetCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalEnabledCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalInitialParallelismCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalRamBudgetCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.DistributeOptions.OptionalNumDevicesCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalApplyDefaultOptimizationsCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterFusionCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterParallelizationCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalInjectPrefetchCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndBatchFusionCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndFilterFusionCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapFusionCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapParallelizationCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalNoopEliminationCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalParallelBatchCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalSeqInterleavePrefetchCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalShuffleAndRepeatFusionCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDatasetNameCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDeterministicCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalExternalStatePolicyCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSlackCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSymbolicCheckpointCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalWarmStartCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ServiceOptions.OptionalPinnedCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalMaxIntraOpParallelismCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalPrivateThreadpoolSizeCase
forNumber(int) - Static method in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm
forNumber(int) - Static method in enum org.tensorflow.proto.data.model.Model.NodeClass
forNumber(int) - Static method in enum org.tensorflow.proto.DataClass
forNumber(int) - Static method in enum org.tensorflow.proto.DataType
forNumber(int) - Static method in enum org.tensorflow.proto.DebugEvent.WhatCase
forNumber(int) - Static method in enum org.tensorflow.proto.EntryValue.KindCase
forNumber(int) - Static method in enum org.tensorflow.proto.error.Code
forNumber(int) - Static method in enum org.tensorflow.proto.Event.WhatCase
forNumber(int) - Static method in enum org.tensorflow.proto.Feature.KindCase
forNumber(int) - Static method in enum org.tensorflow.proto.FeatureConfiguration.ConfigCase
forNumber(int) - Static method in enum org.tensorflow.proto.FullTypeDef.AttrCase
forNumber(int) - Static method in enum org.tensorflow.proto.FullTypeId
forNumber(int) - Static method in enum org.tensorflow.proto.GraphTransferInfo.Destination
forNumber(int) - Static method in enum org.tensorflow.proto.LogMessage.Level: Deprecated.
forNumber(int) - Static method in enum org.tensorflow.proto.OpPerformanceData.OpPerformance.ExecutionTimeCase
forNumber(int) - Static method in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource
forNumber(int) - Static method in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel
forNumber(int) - Static method in enum org.tensorflow.proto.OptimizerOptions.Level
forNumber(int) - Static method in enum org.tensorflow.proto.profiler.Xplane.XEvent.DataCase
forNumber(int) - Static method in enum org.tensorflow.proto.profiler.Xplane.XStat.ValueCase
forNumber(int) - Static method in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType
forNumber(int) - Static method in enum org.tensorflow.proto.RewriterConfig.CpuLayout
forNumber(int) - Static method in enum org.tensorflow.proto.RewriterConfig.MemOptType
forNumber(int) - Static method in enum org.tensorflow.proto.RewriterConfig.NumIterationsType
forNumber(int) - Static method in enum org.tensorflow.proto.RewriterConfig.Toggle
forNumber(int) - Static method in enum org.tensorflow.proto.RunOptions.TraceLevel
forNumber(int) - Static method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile
forNumber(int) - Static method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase
forNumber(int) - Static method in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion
forNumber(int) - Static method in enum org.tensorflow.proto.SessionLog.SessionStatus
forNumber(int) - Static method in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
forNumber(int) - Static method in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass
forNumber(int) - Static method in enum org.tensorflow.proto.Summary.Value.ValueCase
forNumber(int) - Static method in enum org.tensorflow.proto.TensorDebugMode
forNumber(int) - Static method in enum org.tensorflow.proto.TensorInfo.EncodingCase
forNumber(int) - Static method in enum org.tensorflow.proto.TensorSliceProto.Extent.HasLengthCase
forNumber(int) - Static method in enum org.tensorflow.proto.TestResults.BenchmarkType
forNumber(int) - Static method in enum org.tensorflow.proto.VariableAggregation
forNumber(int) - Static method in enum org.tensorflow.proto.VariableSynchronization
forNumber(int) - Static method in enum org.tensorflow.proto.VerifierConfig.Toggle
forNumber(int) - Static method in enum org.tensorflow.proto.WorkerHealth
forNumber(int) - Static method in enum org.tensorflow.proto.WorkerShutdownMode
forOp(Operand, Operand, Operand, Iterable, ConcreteFunction) - Method in class org.tensorflow.op.Ops: Applies a for loop.
forwardInput - Variable in class org.tensorflow.op.core.CopyToMeshGrad.Inputs: The forwardInput input
fractionalAvgPool(Operand, List, FractionalAvgPool.Options...) - Method in class org.tensorflow.op.NnOps: Performs fractional average pooling on the input.
FractionalAvgPool<T> - Class in org.tensorflow.op.nn: Performs fractional average pooling on the input.
FractionalAvgPool(Operation) - Constructor for class org.tensorflow.op.nn.FractionalAvgPool
FractionalAvgPool.Inputs<T> - Class in org.tensorflow.op.nn
FractionalAvgPool.Options - Class in org.tensorflow.op.nn: Optional attributes for FractionalAvgPool
fractionalAvgPoolGrad(Operand, Operand, Operand, Operand, FractionalAvgPoolGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradient of the FractionalAvgPool function.
FractionalAvgPoolGrad<T> - Class in org.tensorflow.op.nn: Computes gradient of the FractionalAvgPool function.
FractionalAvgPoolGrad(Operation) - Constructor for class org.tensorflow.op.nn.FractionalAvgPoolGrad
FractionalAvgPoolGrad.Inputs<T> - Class in org.tensorflow.op.nn
FractionalAvgPoolGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for FractionalAvgPoolGrad
fractionalMaxPool(Operand, List, FractionalMaxPool.Options...) - Method in class org.tensorflow.op.NnOps: Performs fractional max pooling on the input.
FractionalMaxPool<T> - Class in org.tensorflow.op.nn: Performs fractional max pooling on the input.
FractionalMaxPool(Operation) - Constructor for class org.tensorflow.op.nn.FractionalMaxPool
FractionalMaxPool.Inputs<T> - Class in org.tensorflow.op.nn
FractionalMaxPool.Options - Class in org.tensorflow.op.nn: Optional attributes for FractionalMaxPool
fractionalMaxPoolGrad(Operand, Operand, Operand, Operand, Operand, FractionalMaxPoolGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradient of the FractionalMaxPool function.
FractionalMaxPoolGrad<T> - Class in org.tensorflow.op.nn: Computes gradient of the FractionalMaxPool function.
FractionalMaxPoolGrad(Operation) - Constructor for class org.tensorflow.op.nn.FractionalMaxPoolGrad
FractionalMaxPoolGrad.Inputs<T> - Class in org.tensorflow.op.nn
FractionalMaxPoolGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for FractionalMaxPoolGrad
FRAGMENTATION_METRIC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
FRAME_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDebugInfo.StackTrace
frameName - Variable in class org.tensorflow.op.core.Enter.Inputs: The name of the child frame.
frameName - Variable in class org.tensorflow.op.core.RefEnter.Inputs: The name of the child frame.
FRAMES_BY_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDebugInfo
FRAMEWORK_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.Options
FrameworkOps - Class in org.tensorflow.framework.op: An API for building framework operations as Ops
FREED_AT_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemChunk
FREQUENCY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
fresnelCos(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The FresnelCos operation
FresnelCos<T> - Class in org.tensorflow.op.math.special: The FresnelCos operation
FresnelCos(Operation) - Constructor for class org.tensorflow.op.math.special.FresnelCos
FresnelCos.Inputs<T> - Class in org.tensorflow.op.math.special
fresnelSin(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The FresnelSin operation
FresnelSin<T> - Class in org.tensorflow.op.math.special: The FresnelSin operation
FresnelSin(Operation) - Constructor for class org.tensorflow.op.math.special.FresnelSin
FresnelSin.Inputs<T> - Class in org.tensorflow.op.math.special
FROM_LOGITS_DEFAULT - Static variable in class org.tensorflow.framework.losses.BinaryCrossentropy
FROM_LOGITS_DEFAULT - Static variable in class org.tensorflow.framework.losses.CategoricalCrossentropy
FROM_LOGITS_DEFAULT - Static variable in class org.tensorflow.framework.losses.SparseCategoricalCrossentropy
FROM_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorConnection
fromComponents(Ops, List, List, List) - Static method in class org.tensorflow.framework.data.DatasetOptional: Creates a DatasetOptional from components.
fromStructure(Ops, List, List) - Static method in class org.tensorflow.framework.data.DatasetIterator: Creates a new iterator from a "structure" defined by `outputShapes` and `outputTypes`.
fromTensorSlices(Ops, List, List) - Static method in class org.tensorflow.framework.data.Dataset: Creates an in-memory `Dataset` whose elements are slices of the given tensors.
Ftrl - Class in org.tensorflow.framework.optimizers: Optimizer that implements the FTRL algorithm.
Ftrl(Graph) - Constructor for class org.tensorflow.framework.optimizers.Ftrl: Creates a Ftrl Optimizer
Ftrl(Graph, float) - Constructor for class org.tensorflow.framework.optimizers.Ftrl: Creates a Ftrl Optimizer
Ftrl(Graph, float, float, float, float, float, float) - Constructor for class org.tensorflow.framework.optimizers.Ftrl: Creates a Ftrl Optimizer
Ftrl(Graph, String) - Constructor for class org.tensorflow.framework.optimizers.Ftrl: Creates a Ftrl Optimizer
Ftrl(Graph, String, float) - Constructor for class org.tensorflow.framework.optimizers.Ftrl: Creates a Ftrl Optimizer
Ftrl(Graph, String, float, float, float, float, float, float) - Constructor for class org.tensorflow.framework.optimizers.Ftrl: Creates a Ftrl Optimizer
FTRL - Enum constant in enum org.tensorflow.framework.optimizers.Optimizers
FULL_HEALTH - Enum constant in enum org.tensorflow.proto.TensorDebugMode: A detailed health summary.
FULL_HEALTH_VALUE - Static variable in enum org.tensorflow.proto.TensorDebugMode: A detailed health summary.
FULL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SaveSliceInfoDef
FULL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
FULL_NUMERICS - Enum constant in enum org.tensorflow.proto.TensorDebugMode: Full numeric summary.
FULL_NUMERICS_VALUE - Static variable in enum org.tensorflow.proto.TensorDebugMode: Full numeric summary.
FULL_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SaveSliceInfoDef
FULL_TENSOR - Enum constant in enum org.tensorflow.proto.TensorDebugMode: Full tensor value.
FULL_TENSOR_VALUE - Static variable in enum org.tensorflow.proto.TensorDebugMode: Full tensor value.
FULL_TRACE - Enum constant in enum org.tensorflow.proto.RunOptions.TraceLevel: FULL_TRACE = 3;
FULL_TRACE_VALUE - Static variable in enum org.tensorflow.proto.RunOptions.TraceLevel: FULL_TRACE = 3;
FULLARGSPEC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
fullMatrices - Variable in class org.tensorflow.op.linalg.BatchSvd.Inputs: The fullMatrices attribute
fullMatrices - Variable in class org.tensorflow.op.linalg.Qr.Inputs: If true, compute full-sized q and r.
fullMatrices - Variable in class org.tensorflow.op.linalg.Svd.Inputs: If true, compute full-sized u and v.
fullMatrices(Boolean) - Static method in class org.tensorflow.op.linalg.BatchSvd: Sets the fullMatrices option.
fullMatrices(Boolean) - Method in class org.tensorflow.op.linalg.BatchSvd.Options: Sets the fullMatrices option.
fullMatrices(Boolean) - Static method in class org.tensorflow.op.linalg.Qr: Sets the fullMatrices option.
fullMatrices(Boolean) - Method in class org.tensorflow.op.linalg.Qr.Options: Sets the fullMatrices option.
fullMatrices(Boolean) - Static method in class org.tensorflow.op.linalg.Svd: Sets the fullMatrices option.
fullMatrices(Boolean) - Method in class org.tensorflow.op.linalg.Svd.Options: Sets the fullMatrices option.
FullTypeDef - Class in org.tensorflow.proto: Highly experimental and very likely to change.
FullTypeDef.AttrCase - Enum in org.tensorflow.proto
FullTypeDef.Builder - Class in org.tensorflow.proto: Highly experimental and very likely to change.
FullTypeDefOrBuilder - Interface in org.tensorflow.proto
FullTypeId - Enum in org.tensorflow.proto: LINT.IfChange Experimental.
FullTypeProtos - Class in org.tensorflow.proto
FUNC - Enum constant in enum org.tensorflow.proto.AttrValue.ValueCase
FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue
FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue.ListValue
FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
function(String) - Method in class org.tensorflow.SavedModelBundle: Return a ConcreteFunction corresponding to the function signature.
function(Signature) - Method in class org.tensorflow.Session: Create a new session function, backed by this session.
Function - Class in org.tensorflow.op.core: Ops for calling ConcreteFunction.
Function() - Constructor for class org.tensorflow.op.core.Function: Constructor.
FUNCTION - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase
FUNCTION_ALIASES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FunctionDefLibrary
FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
FUNCTION_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
FUNCTION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunMetadata
FUNCTION_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GradientDef
FUNCTION_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
FUNCTION_SPEC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
FUNCTION_SPEC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
FunctionDef - Class in org.tensorflow.proto: A function can be instantiated when the runtime can bind every attr with a value.
FunctionDef.ArgAttrs - Class in org.tensorflow.proto: Attributes for function arguments.
FunctionDef.ArgAttrs.Builder - Class in org.tensorflow.proto: Attributes for function arguments.
FunctionDef.ArgAttrsOrBuilder - Interface in org.tensorflow.proto
FunctionDef.Builder - Class in org.tensorflow.proto: A function can be instantiated when the runtime can bind every attr with a value.
FunctionDefLibrary - Class in org.tensorflow.proto: A library is a set of named functions.
FunctionDefLibrary.Builder - Class in org.tensorflow.proto: A library is a set of named functions.
FunctionDefLibraryOrBuilder - Interface in org.tensorflow.proto
FunctionDefOrBuilder - Interface in org.tensorflow.proto
FunctionProtos - Class in org.tensorflow.proto
functions() - Method in class org.tensorflow.SavedModelBundle: Get all functions in the bundle.
fusedBatchNorm(Operand, Operand, Operand, Operand, Operand, FusedBatchNorm.Options...) - Method in class org.tensorflow.op.NnOps: Batch normalization.
FusedBatchNorm<T,U> - Class in org.tensorflow.op.nn: Batch normalization.
FusedBatchNorm(Operation) - Constructor for class org.tensorflow.op.nn.FusedBatchNorm
FusedBatchNorm.Inputs<T,U> - Class in org.tensorflow.op.nn
FusedBatchNorm.Options - Class in org.tensorflow.op.nn: Optional attributes for FusedBatchNorm
fusedBatchNormGrad(Operand, Operand, Operand, Operand, Operand, Operand, FusedBatchNormGrad.Options...) - Method in class org.tensorflow.op.NnOps: Gradient for batch normalization.
FusedBatchNormGrad<T,U> - Class in org.tensorflow.op.nn: Gradient for batch normalization.
FusedBatchNormGrad(Operation) - Constructor for class org.tensorflow.op.nn.FusedBatchNormGrad
FusedBatchNormGrad.Inputs<T,U> - Class in org.tensorflow.op.nn
FusedBatchNormGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for FusedBatchNormGrad
fusedPadConv2d(Operand, Operand, Operand, String, List, String) - Method in class org.tensorflow.op.NnOps: Performs a padding as a preprocess during a convolution.
FusedPadConv2d<T> - Class in org.tensorflow.op.nn: Performs a padding as a preprocess during a convolution.
FusedPadConv2d(Operation) - Constructor for class org.tensorflow.op.nn.FusedPadConv2d
FusedPadConv2d.Inputs<T> - Class in org.tensorflow.op.nn
fusedResizeAndPadConv2d(Operand, Operand, Operand, Operand, String, List, String, FusedResizeAndPadConv2d.Options...) - Method in class org.tensorflow.op.NnOps: Performs a resize and padding as a preprocess during a convolution.
FusedResizeAndPadConv2d<T> - Class in org.tensorflow.op.nn: Performs a resize and padding as a preprocess during a convolution.
FusedResizeAndPadConv2d(Operation) - Constructor for class org.tensorflow.op.nn.FusedResizeAndPadConv2d
FusedResizeAndPadConv2d.Inputs<T> - Class in org.tensorflow.op.nn
FusedResizeAndPadConv2d.Options - Class in org.tensorflow.op.nn: Optional attributes for FusedResizeAndPadConv2d

G

GAIN_DEFAULT - Static variable in class org.tensorflow.framework.initializers.Identity
GAIN_DEFAULT - Static variable in class org.tensorflow.framework.initializers.Orthogonal
gains - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The gains input
gains - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The gains input
gains() - Method in class org.tensorflow.op.tpu.ConvertToCooTensor: Gets gains.
gainsList - Variable in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors.Inputs: The gainsList input
gainsList - Variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs: The gainsList input
gainsList() - Method in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors: Gets gainsList.
gamma - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 1D gamma Tensor with size matching the last dimension of t.
gamma - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A 1D gamma Tensor with size matching the last dimension of t.
gamma - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 1D gamma Tensor with size matching the last dimension of t.
gammaMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized gamma.
gammaMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized gamma.
GAP_TIMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto
gatedGrpc - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Whether this op will be gated.
gatedGrpc - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: Whether this op will be gated.
gatedGrpc(Boolean) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the gatedGrpc option.
gatedGrpc(Boolean) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the gatedGrpc option.
gatedGrpc(Boolean) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the gatedGrpc option.
gatedGrpc(Boolean) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the gatedGrpc option.
gather(Operand, Operand, Operand, Gather.Options...) - Method in class org.tensorflow.op.Ops: Gather slices from params axis axis according to indices.
Gather<T> - Class in org.tensorflow.op.core: Gather slices from params axis axis according to indices.
Gather(Operation) - Constructor for class org.tensorflow.op.core.Gather
Gather.Inputs<T> - Class in org.tensorflow.op.core
Gather.Options - Class in org.tensorflow.op.core: Optional attributes for Gather
gatherNd(Operand, Operand, GatherNd.Options...) - Method in class org.tensorflow.op.Ops: Gather slices from params into a Tensor with shape specified by indices.
GatherNd<T> - Class in org.tensorflow.op.core: Gather slices from params into a Tensor with shape specified by indices.
GatherNd(Operation) - Constructor for class org.tensorflow.op.core.GatherNd
GatherNd.Inputs<T> - Class in org.tensorflow.op.core
GatherNd.Options - Class in org.tensorflow.op.core: Optional attributes for GatherNd
GC_DYNAMIC_SHARDING_JOBS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
gelu(Ops, Operand) - Static method in class org.tensorflow.framework.activations.GELU: Applies the Gaussian error linear unit (GELU) activation function with approximate set to false.
gelu(Ops, Operand, boolean) - Static method in class org.tensorflow.framework.activations.GELU: Applies the Gaussian error linear unit (GELU) activation function.
gelu(Scope, Operand) - Static method in class org.tensorflow.framework.op.nn.GELU: Compute the Gaussian Error Linear Unit (GELU) activation function without approximation.
gelu(Scope, Operand, boolean) - Static method in class org.tensorflow.framework.op.nn.GELU: Compute the Gaussian Error Linear Unit (GELU) activation function.
gelu(Operand) - Method in class org.tensorflow.framework.op.NnOps: Compute the Gaussian Error Linear Unit (GELU) activation function without approximation.
gelu(Operand, boolean) - Method in class org.tensorflow.framework.op.NnOps: Compute the Gaussian Error Linear Unit (GELU) activation function.
GELU - Class in org.tensorflow.framework.activations: Applies the Gaussian error linear unit (GELU) activation function.
GELU - Class in org.tensorflow.framework.op.nn: The Gaussian Error Linear Unit (GELU) activation function.
GELU - Enum constant in enum org.tensorflow.framework.activations.Activations
GELU() - Constructor for class org.tensorflow.framework.activations.GELU: Creates a Gaussian error linear unit (GELU) activation.
GELU() - Constructor for class org.tensorflow.framework.op.nn.GELU
GELU(boolean) - Constructor for class org.tensorflow.framework.activations.GELU: Creates a Gaussian error linear unit (GELU) activation.
GELU(Map) - Constructor for class org.tensorflow.framework.activations.GELU: Creates a GELU activation from a config map.
generateBoundingBoxProposals(Operand, Operand, Operand, Operand, Operand, Operand, Operand, GenerateBoundingBoxProposals.Options...) - Method in class org.tensorflow.op.ImageOps: This op produces Region of Interests from given bounding boxes(bbox_deltas) encoded wrt anchors according to eq.2 in arXiv:1506.01497
GenerateBoundingBoxProposals - Class in org.tensorflow.op.image: This op produces Region of Interests from given bounding boxes(bbox_deltas) encoded wrt anchors according to eq.2 in arXiv:1506.01497
GenerateBoundingBoxProposals(Operation) - Constructor for class org.tensorflow.op.image.GenerateBoundingBoxProposals
GenerateBoundingBoxProposals.Inputs - Class in org.tensorflow.op.image
GenerateBoundingBoxProposals.Options - Class in org.tensorflow.op.image: Optional attributes for GenerateBoundingBoxProposals
generateVocabRemapping(Operand, Operand, Long, Long, GenerateVocabRemapping.Options...) - Method in class org.tensorflow.op.TrainOps: Given a path to new and old vocabulary files, returns a remapping Tensor of length num_new_vocab, where remapping[i] contains the row number in the old vocabulary that corresponds to row i in the new vocabulary (starting at line new_vocab_offset and up to num_new_vocab entities), or -1 if entry i in the new vocabulary is not in the old vocabulary.
GenerateVocabRemapping - Class in org.tensorflow.op.train: Given a path to new and old vocabulary files, returns a remapping Tensor of length num_new_vocab, where remapping[i] contains the row number in the old vocabulary that corresponds to row i in the new vocabulary (starting at line new_vocab_offset and up to num_new_vocab entities), or -1 if entry i in the new vocabulary is not in the old vocabulary.
GenerateVocabRemapping(Operation) - Constructor for class org.tensorflow.op.train.GenerateVocabRemapping
GenerateVocabRemapping.Inputs - Class in org.tensorflow.op.train
GenerateVocabRemapping.Options - Class in org.tensorflow.op.train: Optional attributes for GenerateVocabRemapping
generatorDataset(Iterable, Iterable, Iterable, ConcreteFunction, ConcreteFunction, ConcreteFunction, List, List, GeneratorDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that invokes a function to generate elements.
GeneratorDataset - Class in org.tensorflow.op.data: Creates a dataset that invokes a function to generate elements.
GeneratorDataset(Operation) - Constructor for class org.tensorflow.op.data.GeneratorDataset
GeneratorDataset.Inputs - Class in org.tensorflow.op.data
GeneratorDataset.Options - Class in org.tensorflow.op.data: Optional attributes for GeneratorDataset
get(int) - Method in class org.tensorflow.Result: Gets the value from the container at the specified index.
get(String) - Method in enum org.tensorflow.framework.metrics.AUCCurve: Gets the AUCCurve enum value by name, regardless of case
get(String) - Method in enum org.tensorflow.framework.metrics.AUCSummationMethod: Gets the AUCSummationMethod enum value by name, regardless of case
get(String) - Method in class org.tensorflow.Result: Gets the value from the container assuming it's not been closed.
getAccumulatorName() - Method in class org.tensorflow.framework.metrics.FalseNegatives: Gets the accumulatorName
getAccumulatorName() - Method in class org.tensorflow.framework.metrics.FalsePositives: Gets the accumulatorName
getAccumulatorName() - Method in class org.tensorflow.framework.metrics.TrueNegatives: Gets the accumulatorName
getAccumulatorName() - Method in class org.tensorflow.framework.metrics.TruePositives: Gets the accumulatorName
getActionCount() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: uint64 action_count = 7;
getActionCount() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk: uint64 action_count = 7;
getActionCount() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemChunkOrBuilder: uint64 action_count = 7;
getActionCount() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder: uint64 action_count = 1;
getActionCount() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot: uint64 action_count = 1;
getActionCount() - Method in interface org.tensorflow.proto.BfcMemoryMap.SnapShotOrBuilder: uint64 action_count = 1;
getAddress() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: uint64 address = 1;
getAddress() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk: uint64 address = 1;
getAddress() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemChunkOrBuilder: uint64 address = 1;
getAgentDestructionWithoutShutdown() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: If set, agents do not make an explicit Shutdown() call.
getAgentDestructionWithoutShutdown() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: If set, agents do not make an explicit Shutdown() call.
getAgentDestructionWithoutShutdown() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: If set, agents do not make an explicit Shutdown() call.
getAggregation() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.VariableAggregation aggregation = 5;
getAggregation() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: .tensorflow.VariableAggregation aggregation = 5;
getAggregation() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: .tensorflow.VariableAggregation aggregation = 5;
getAggregation() - Method in class org.tensorflow.proto.VariableDef.Builder: Indicates how a distributed variable will be aggregated.
getAggregation() - Method in class org.tensorflow.proto.VariableDef: Indicates how a distributed variable will be aggregated.
getAggregation() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Indicates how a distributed variable will be aggregated.
getAggregationValue() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.VariableAggregation aggregation = 5;
getAggregationValue() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: .tensorflow.VariableAggregation aggregation = 5;
getAggregationValue() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: .tensorflow.VariableAggregation aggregation = 5;
getAggregationValue() - Method in class org.tensorflow.proto.VariableDef.Builder: Indicates how a distributed variable will be aggregated.
getAggregationValue() - Method in class org.tensorflow.proto.VariableDef: Indicates how a distributed variable will be aggregated.
getAggregationValue() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Indicates how a distributed variable will be aggregated.
getAlgorithm() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Algorithm used for autotuning optimization.
getAlgorithm() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams: Algorithm used for autotuning optimization.
getAlgorithm() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParamsOrBuilder: Algorithm used for autotuning optimization.
getAlgorithmValue() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Algorithm used for autotuning optimization.
getAlgorithmValue() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams: Algorithm used for autotuning optimization.
getAlgorithmValue() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParamsOrBuilder: Algorithm used for autotuning optimization.
getAliasInputPort() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: If >= 0, the output is an alias of an input.
getAliasInputPort() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo: If >= 0, the output is an alias of an input.
getAliasInputPort() - Method in interface org.tensorflow.proto.CostGraphDef.Node.OutputInfoOrBuilder: If >= 0, the output is an alias of an input.
getAllEndRelMicros() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 all_end_rel_micros = 5;
getAllEndRelMicros() - Method in class org.tensorflow.proto.NodeExecStats: int64 all_end_rel_micros = 5;
getAllEndRelMicros() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: int64 all_end_rel_micros = 5;
getAllEndRelNanos() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 all_end_rel_nanos = 16;
getAllEndRelNanos() - Method in class org.tensorflow.proto.NodeExecStats: int64 all_end_rel_nanos = 16;
getAllEndRelNanos() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: int64 all_end_rel_nanos = 16;
getAllocatedBytes() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Total number of bytes allocated if known
getAllocatedBytes() - Method in class org.tensorflow.proto.AllocationDescription: Total number of bytes allocated if known
getAllocatedBytes() - Method in interface org.tensorflow.proto.AllocationDescriptionOrBuilder: Total number of bytes allocated if known
getAllocationDescription() - Method in class org.tensorflow.proto.TensorDescription.Builder: Information about the size and allocator used for the data
getAllocationDescription() - Method in class org.tensorflow.proto.TensorDescription: Information about the size and allocator used for the data
getAllocationDescription() - Method in interface org.tensorflow.proto.TensorDescriptionOrBuilder: Information about the size and allocator used for the data
getAllocationDescriptionBuilder() - Method in class org.tensorflow.proto.TensorDescription.Builder: Information about the size and allocator used for the data
getAllocationDescriptionOrBuilder() - Method in class org.tensorflow.proto.TensorDescription.Builder: Information about the size and allocator used for the data
getAllocationDescriptionOrBuilder() - Method in class org.tensorflow.proto.TensorDescription: Information about the size and allocator used for the data
getAllocationDescriptionOrBuilder() - Method in interface org.tensorflow.proto.TensorDescriptionOrBuilder: Information about the size and allocator used for the data
getAllocationId() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Identifier of the allocated buffer if known
getAllocationId() - Method in class org.tensorflow.proto.AllocationDescription: Identifier of the allocated buffer if known
getAllocationId() - Method in interface org.tensorflow.proto.AllocationDescriptionOrBuilder: Identifier of the allocated buffer if known
getAllocationId() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
getAllocationId() - Method in class org.tensorflow.proto.MemoryLogRawAllocation: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
getAllocationId() - Method in interface org.tensorflow.proto.MemoryLogRawAllocationOrBuilder: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
getAllocationId() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - Method in interface org.tensorflow.proto.MemoryLogRawDeallocationOrBuilder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationId() - Method in interface org.tensorflow.proto.MemoryLogTensorDeallocationOrBuilder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
getAllocationRecords(int) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecords(int) - Method in class org.tensorflow.proto.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecords(int) - Method in interface org.tensorflow.proto.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocationRecordsBuilder(int) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsBuilderList() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsCount() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsCount() - Method in class org.tensorflow.proto.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecordsCount() - Method in interface org.tensorflow.proto.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocationRecordsList() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsList() - Method in class org.tensorflow.proto.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecordsList() - Method in interface org.tensorflow.proto.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocationRecordsOrBuilder(int) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsOrBuilder(int) - Method in class org.tensorflow.proto.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecordsOrBuilder(int) - Method in interface org.tensorflow.proto.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocationRecordsOrBuilderList() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
getAllocationRecordsOrBuilderList() - Method in class org.tensorflow.proto.AllocatorMemoryUsed: The allocation and deallocation timeline.
getAllocationRecordsOrBuilderList() - Method in interface org.tensorflow.proto.AllocatorMemoryUsedOrBuilder: The allocation and deallocation timeline.
getAllocatorBytesInUse() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: These are snapshots of the overall allocator memory stats.
getAllocatorBytesInUse() - Method in class org.tensorflow.proto.AllocatorMemoryUsed: These are snapshots of the overall allocator memory stats.
getAllocatorBytesInUse() - Method in interface org.tensorflow.proto.AllocatorMemoryUsedOrBuilder: These are snapshots of the overall allocator memory stats.
getAllocatorName() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Name of the allocator used
getAllocatorName() - Method in class org.tensorflow.proto.AllocationDescription: Name of the allocator used
getAllocatorName() - Method in interface org.tensorflow.proto.AllocationDescriptionOrBuilder: Name of the allocator used
getAllocatorName() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: string allocator_name = 1;
getAllocatorName() - Method in class org.tensorflow.proto.AllocatorMemoryUsed: string allocator_name = 1;
getAllocatorName() - Method in interface org.tensorflow.proto.AllocatorMemoryUsedOrBuilder: string allocator_name = 1;
getAllocatorName() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: string allocator_name = 1;
getAllocatorName() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: string allocator_name = 1;
getAllocatorName() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: string allocator_name = 1;
getAllocatorName() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Name of the allocator used.
getAllocatorName() - Method in class org.tensorflow.proto.MemoryLogRawAllocation: Name of the allocator used.
getAllocatorName() - Method in interface org.tensorflow.proto.MemoryLogRawAllocationOrBuilder: Name of the allocator used.
getAllocatorName() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Name of the allocator used.
getAllocatorName() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation: Name of the allocator used.
getAllocatorName() - Method in interface org.tensorflow.proto.MemoryLogRawDeallocationOrBuilder: Name of the allocator used.
getAllocatorName() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
getAllocatorName() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation: Name of the allocator used.
getAllocatorName() - Method in interface org.tensorflow.proto.MemoryLogTensorDeallocationOrBuilder: Name of the allocator used.
getAllocatorNameBytes() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Name of the allocator used
getAllocatorNameBytes() - Method in class org.tensorflow.proto.AllocationDescription: Name of the allocator used
getAllocatorNameBytes() - Method in interface org.tensorflow.proto.AllocationDescriptionOrBuilder: Name of the allocator used
getAllocatorNameBytes() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: string allocator_name = 1;
getAllocatorNameBytes() - Method in class org.tensorflow.proto.AllocatorMemoryUsed: string allocator_name = 1;
getAllocatorNameBytes() - Method in interface org.tensorflow.proto.AllocatorMemoryUsedOrBuilder: string allocator_name = 1;
getAllocatorNameBytes() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: string allocator_name = 1;
getAllocatorNameBytes() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: string allocator_name = 1;
getAllocatorNameBytes() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: string allocator_name = 1;
getAllocatorNameBytes() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Name of the allocator used.
getAllocatorNameBytes() - Method in class org.tensorflow.proto.MemoryLogRawAllocation: Name of the allocator used.
getAllocatorNameBytes() - Method in interface org.tensorflow.proto.MemoryLogRawAllocationOrBuilder: Name of the allocator used.
getAllocatorNameBytes() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Name of the allocator used.
getAllocatorNameBytes() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation: Name of the allocator used.
getAllocatorNameBytes() - Method in interface org.tensorflow.proto.MemoryLogRawDeallocationOrBuilder: Name of the allocator used.
getAllocatorNameBytes() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
getAllocatorNameBytes() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation: Name of the allocator used.
getAllocatorNameBytes() - Method in interface org.tensorflow.proto.MemoryLogTensorDeallocationOrBuilder: Name of the allocator used.
getAllocatorType() - Method in class org.tensorflow.proto.GPUOptions.Builder: The type of GPU allocation strategy to use.
getAllocatorType() - Method in class org.tensorflow.proto.GPUOptions: The type of GPU allocation strategy to use.
getAllocatorType() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: The type of GPU allocation strategy to use.
getAllocatorTypeBytes() - Method in class org.tensorflow.proto.GPUOptions.Builder: The type of GPU allocation strategy to use.
getAllocatorTypeBytes() - Method in class org.tensorflow.proto.GPUOptions: The type of GPU allocation strategy to use.
getAllocatorTypeBytes() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: The type of GPU allocation strategy to use.
getAllocBytes() - Method in class org.tensorflow.proto.AllocationRecord.Builder: Number of bytes allocated, or de-allocated if negative.
getAllocBytes() - Method in class org.tensorflow.proto.AllocationRecord: Number of bytes allocated, or de-allocated if negative.
getAllocBytes() - Method in interface org.tensorflow.proto.AllocationRecordOrBuilder: Number of bytes allocated, or de-allocated if negative.
getAllocMicros() - Method in class org.tensorflow.proto.AllocationRecord.Builder: The timestamp of the operation.
getAllocMicros() - Method in class org.tensorflow.proto.AllocationRecord: The timestamp of the operation.
getAllocMicros() - Method in interface org.tensorflow.proto.AllocationRecordOrBuilder: The timestamp of the operation.
getAllowedPositionalArguments() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: The prefix of `argument_keywords` which may be identified by position.
getAllowedPositionalArguments() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction: The prefix of `argument_keywords` which may be identified by position.
getAllowedPositionalArguments() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunctionOrBuilder: The prefix of `argument_keywords` which may be identified by position.
getAllowedValues() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
getAllowedValues() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint: A list of values that this kernel supports for this attr.
getAllowedValues() - Method in interface org.tensorflow.proto.KernelDef.AttrConstraintOrBuilder: A list of values that this kernel supports for this attr.
getAllowedValues() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: The set of allowed values.
getAllowedValues() - Method in class org.tensorflow.proto.OpDef.AttrDef: The set of allowed values.
getAllowedValues() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: The set of allowed values.
getAllowedValuesBuilder() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
getAllowedValuesBuilder() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: The set of allowed values.
getAllowedValuesOrBuilder() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
getAllowedValuesOrBuilder() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint: A list of values that this kernel supports for this attr.
getAllowedValuesOrBuilder() - Method in interface org.tensorflow.proto.KernelDef.AttrConstraintOrBuilder: A list of values that this kernel supports for this attr.
getAllowedValuesOrBuilder() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: The set of allowed values.
getAllowedValuesOrBuilder() - Method in class org.tensorflow.proto.OpDef.AttrDef: The set of allowed values.
getAllowedValuesOrBuilder() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: The set of allowed values.
getAllowGrowth() - Method in class org.tensorflow.proto.GPUOptions.Builder: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
getAllowGrowth() - Method in class org.tensorflow.proto.GPUOptions: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
getAllowGrowth() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
getAllowNewIncarnationToReconnect() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: If a task restarts with a new incarnation, we may allow it to reconnect silently.
getAllowNewIncarnationToReconnect() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: If a task restarts with a new incarnation, we may allow it to reconnect silently.
getAllowNewIncarnationToReconnect() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: If a task restarts with a new incarnation, we may allow it to reconnect silently.
getAllowSoftPlacement() - Method in class org.tensorflow.proto.ConfigProto.Builder: Whether soft placement is allowed.
getAllowSoftPlacement() - Method in class org.tensorflow.proto.ConfigProto: Whether soft placement is allowed.
getAllowSoftPlacement() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Whether soft placement is allowed.
getAllowsUninitializedInput() - Method in class org.tensorflow.proto.OpDef.Builder: By default, all inputs to an Op must be initialized Tensors.
getAllowsUninitializedInput() - Method in class org.tensorflow.proto.OpDef: By default, all inputs to an Op must be initialized Tensors.
getAllowsUninitializedInput() - Method in interface org.tensorflow.proto.OpDefOrBuilder: By default, all inputs to an Op must be initialized Tensors.
getAllStartMicros() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 all_start_micros = 2;
getAllStartMicros() - Method in class org.tensorflow.proto.NodeExecStats: int64 all_start_micros = 2;
getAllStartMicros() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: int64 all_start_micros = 2;
getAllStartNanos() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 all_start_nanos = 13;
getAllStartNanos() - Method in class org.tensorflow.proto.NodeExecStats: int64 all_start_nanos = 13;
getAllStartNanos() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: int64 all_start_nanos = 13;
getAlpha() - Method in class org.tensorflow.framework.activations.ELU: Gets the slope of negative section.
getAlpha() - Method in class org.tensorflow.framework.activations.ReLU: Gets the value that governs the slope for values lower than the threshold.
getAnyInfo() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
getAnyInfo() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: A serialized protobuf.
getAnyInfo() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: A serialized protobuf.
getAnyInfoBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
getAnyInfoOrBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
getAnyInfoOrBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: A serialized protobuf.
getAnyInfoOrBuilder() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: A serialized protobuf.
getAnyList() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyList() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyList() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyListBuilder() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyListOrBuilder() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyListOrBuilder() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.AnyList any_list = 5;
getAnyListOrBuilder() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.AnyList any_list = 5;
getApplyDefaultOptimizations() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool apply_default_optimizations = 1;
getApplyDefaultOptimizations() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool apply_default_optimizations = 1;
getApplyDefaultOptimizations() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool apply_default_optimizations = 1;
getArgAttr() - Method in class org.tensorflow.proto.FunctionDef.Builder: Deprecated.
getArgAttr() - Method in class org.tensorflow.proto.FunctionDef: Deprecated.
getArgAttr() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Deprecated.
getArgAttrCount() - Method in class org.tensorflow.proto.FunctionDef.Builder
getArgAttrCount() - Method in class org.tensorflow.proto.FunctionDef
getArgAttrCount() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrMap() - Method in class org.tensorflow.proto.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrMap() - Method in class org.tensorflow.proto.FunctionDef: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrMap() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrOrDefault(int, FunctionDef.ArgAttrs) - Method in class org.tensorflow.proto.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrOrDefault(int, FunctionDef.ArgAttrs) - Method in class org.tensorflow.proto.FunctionDef: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrOrDefault(int, FunctionDef.ArgAttrs) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrOrThrow(int) - Method in class org.tensorflow.proto.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrOrThrow(int) - Method in class org.tensorflow.proto.FunctionDef: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgAttrOrThrow(int) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
getArgOrder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: List of original in_arg names to specify new argument order.
getArgOrder(int) - Method in class org.tensorflow.proto.ApiDef: List of original in_arg names to specify new argument order.
getArgOrder(int) - Method in interface org.tensorflow.proto.ApiDefOrBuilder: List of original in_arg names to specify new argument order.
getArgOrderBytes(int) - Method in class org.tensorflow.proto.ApiDef.Builder: List of original in_arg names to specify new argument order.
getArgOrderBytes(int) - Method in class org.tensorflow.proto.ApiDef: List of original in_arg names to specify new argument order.
getArgOrderBytes(int) - Method in interface org.tensorflow.proto.ApiDefOrBuilder: List of original in_arg names to specify new argument order.
getArgOrderCount() - Method in class org.tensorflow.proto.ApiDef.Builder: List of original in_arg names to specify new argument order.
getArgOrderCount() - Method in class org.tensorflow.proto.ApiDef: List of original in_arg names to specify new argument order.
getArgOrderCount() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: List of original in_arg names to specify new argument order.
getArgOrderList() - Method in class org.tensorflow.proto.ApiDef.Builder: List of original in_arg names to specify new argument order.
getArgOrderList() - Method in class org.tensorflow.proto.ApiDef: List of original in_arg names to specify new argument order.
getArgOrderList() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: List of original in_arg names to specify new argument order.
getArgs(int) - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgs(int) - Method in class org.tensorflow.proto.FullTypeDef: repeated .tensorflow.FullTypeDef args = 2;
getArgs(int) - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder: repeated .tensorflow.FullTypeDef args = 2;
getArgsBuilder(int) - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgsBuilderList() - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgsCount() - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgsCount() - Method in class org.tensorflow.proto.FullTypeDef: repeated .tensorflow.FullTypeDef args = 2;
getArgsCount() - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder: repeated .tensorflow.FullTypeDef args = 2;
getArgsList() - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgsList() - Method in class org.tensorflow.proto.FullTypeDef: repeated .tensorflow.FullTypeDef args = 2;
getArgsList() - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder: repeated .tensorflow.FullTypeDef args = 2;
getArgsOrBuilder(int) - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgsOrBuilder(int) - Method in class org.tensorflow.proto.FullTypeDef: repeated .tensorflow.FullTypeDef args = 2;
getArgsOrBuilder(int) - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder: repeated .tensorflow.FullTypeDef args = 2;
getArgsOrBuilderList() - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
getArgsOrBuilderList() - Method in class org.tensorflow.proto.FullTypeDef: repeated .tensorflow.FullTypeDef args = 2;
getArgsOrBuilderList() - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder: repeated .tensorflow.FullTypeDef args = 2;
getArgument(int) - Method in class org.tensorflow.proto.RunConfiguration.Builder: repeated string argument = 1;
getArgument(int) - Method in class org.tensorflow.proto.RunConfiguration: repeated string argument = 1;
getArgument(int) - Method in interface org.tensorflow.proto.RunConfigurationOrBuilder: repeated string argument = 1;
getArgumentBytes(int) - Method in class org.tensorflow.proto.RunConfiguration.Builder: repeated string argument = 1;
getArgumentBytes(int) - Method in class org.tensorflow.proto.RunConfiguration: repeated string argument = 1;
getArgumentBytes(int) - Method in interface org.tensorflow.proto.RunConfigurationOrBuilder: repeated string argument = 1;
getArgumentCount() - Method in class org.tensorflow.proto.RunConfiguration.Builder: repeated string argument = 1;
getArgumentCount() - Method in class org.tensorflow.proto.RunConfiguration: repeated string argument = 1;
getArgumentCount() - Method in interface org.tensorflow.proto.RunConfigurationOrBuilder: repeated string argument = 1;
getArgumentKeywords(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywords(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction: A sequence of unique strings, one per Tensor argument.
getArgumentKeywords(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunctionOrBuilder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsBytes(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsBytes(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsBytes(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunctionOrBuilder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsCount() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunctionOrBuilder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction: A sequence of unique strings, one per Tensor argument.
getArgumentKeywordsList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunctionOrBuilder: A sequence of unique strings, one per Tensor argument.
getArgumentList() - Method in class org.tensorflow.proto.RunConfiguration.Builder: repeated string argument = 1;
getArgumentList() - Method in class org.tensorflow.proto.RunConfiguration: repeated string argument = 1;
getArgumentList() - Method in interface org.tensorflow.proto.RunConfigurationOrBuilder: repeated string argument = 1;
getArithmeticOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimization() - Method in class org.tensorflow.proto.RewriterConfig: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimization() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig: Arithmetic optimizations (default is ON) e.g.
getArithmeticOptimizationValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Arithmetic optimizations (default is ON) e.g.
getAsset() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
getAsset() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedAsset asset = 5;
getAsset() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedAsset asset = 5;
getAssetBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
getAssetFileDef(int) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDef(int) - Method in class org.tensorflow.proto.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDef(int) - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetFileDefBuilder(int) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefBuilderList() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefCount() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefCount() - Method in class org.tensorflow.proto.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDefCount() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetFileDefIndex() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder: Index into `MetaGraphDef.asset_file_def[]` that describes the Asset.
getAssetFileDefIndex() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset: Index into `MetaGraphDef.asset_file_def[]` that describes the Asset.
getAssetFileDefIndex() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAssetOrBuilder: Index into `MetaGraphDef.asset_file_def[]` that describes the Asset.
getAssetFileDefList() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefList() - Method in class org.tensorflow.proto.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDefList() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilder(int) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilder(int) - Method in class org.tensorflow.proto.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilder(int) - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilderList() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilderList() - Method in class org.tensorflow.proto.MetaGraphDef: Asset file def to be used with the defined graph.
getAssetFileDefOrBuilderList() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: Asset file def to be used with the defined graph.
getAssetOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
getAssetOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedAsset asset = 5;
getAssetOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedAsset asset = 5;
getAttr() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs: Deprecated.
getAttr() - Method in interface org.tensorflow.proto.FunctionDef.ArgAttrsOrBuilder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.FunctionDef.Builder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.FunctionDef: Deprecated.
getAttr() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.NameAttrList.Builder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.NameAttrList: Deprecated.
getAttr() - Method in interface org.tensorflow.proto.NameAttrListOrBuilder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.NodeDef.Builder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.NodeDef: Deprecated.
getAttr() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Deprecated.
getAttr() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Deprecated.
getAttr() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Deprecated.
getAttr(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttr(int) - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttr(int) - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttr(int) - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttr(int) - Method in class org.tensorflow.proto.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttr(int) - Method in interface org.tensorflow.proto.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrBool(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a boolean attribute of this operation.
getAttrBoolList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a boolean list attribute of this operation.
getAttrBuilder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrBuilder(int) - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrBuilderList() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrBuilderList() - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrCase() - Method in class org.tensorflow.proto.FullTypeDef.Builder
getAttrCase() - Method in class org.tensorflow.proto.FullTypeDef
getAttrCase() - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder
getAttrCount() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrCount() - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrCount() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrCount() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
getAttrCount() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
getAttrCount() - Method in interface org.tensorflow.proto.FunctionDef.ArgAttrsOrBuilder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrCount() - Method in class org.tensorflow.proto.FunctionDef.Builder
getAttrCount() - Method in class org.tensorflow.proto.FunctionDef
getAttrCount() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Attributes specific to this function definition.
getAttrCount() - Method in class org.tensorflow.proto.NameAttrList.Builder
getAttrCount() - Method in class org.tensorflow.proto.NameAttrList
getAttrCount() - Method in interface org.tensorflow.proto.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrCount() - Method in class org.tensorflow.proto.NodeDef.Builder
getAttrCount() - Method in class org.tensorflow.proto.NodeDef
getAttrCount() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
getAttrCount() - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrCount() - Method in class org.tensorflow.proto.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrCount() - Method in interface org.tensorflow.proto.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrCount() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
getAttrCount() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
getAttrCount() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Custom parameters impacting the behavior of the op.
getAttrFloat(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a float attribute of this operation.
getAttrFloatList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a float list attribute of this operation.
getAttrFunction(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a function attribute of this operation.
getAttrFunctionList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a function list attribute of this operation.
getAttributes(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributes(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Serialized data specific to this object.
getAttributes(int) - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Serialized data specific to this object.
getAttributesBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributesBuilderList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributesCount() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributesCount() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Serialized data specific to this object.
getAttributesCount() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Serialized data specific to this object.
getAttributesList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributesList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Serialized data specific to this object.
getAttributesList() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Serialized data specific to this object.
getAttributesOrBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributesOrBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Serialized data specific to this object.
getAttributesOrBuilder(int) - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Serialized data specific to this object.
getAttributesOrBuilderList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
getAttributesOrBuilderList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Serialized data specific to this object.
getAttributesOrBuilderList() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Serialized data specific to this object.
getAttrInt(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a int attribute of this operation.
getAttrIntList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a int list attribute of this operation.
getAttrList() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrList() - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrList() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrList() - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrList() - Method in class org.tensorflow.proto.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrList() - Method in interface org.tensorflow.proto.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrMap() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrMap() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs: map<string, .tensorflow.AttrValue> attr = 1;
getAttrMap() - Method in interface org.tensorflow.proto.FunctionDef.ArgAttrsOrBuilder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrMap() - Method in class org.tensorflow.proto.FunctionDef.Builder: Attributes specific to this function definition.
getAttrMap() - Method in class org.tensorflow.proto.FunctionDef: Attributes specific to this function definition.
getAttrMap() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Attributes specific to this function definition.
getAttrMap() - Method in class org.tensorflow.proto.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrMap() - Method in class org.tensorflow.proto.NameAttrList: map<string, .tensorflow.AttrValue> attr = 2;
getAttrMap() - Method in interface org.tensorflow.proto.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrMap() - Method in class org.tensorflow.proto.NodeDef.Builder: Operation-specific graph-construction-time configuration.
getAttrMap() - Method in class org.tensorflow.proto.NodeDef: Operation-specific graph-construction-time configuration.
getAttrMap() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
getAttrMap() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Custom parameters impacting the behavior of the op.
getAttrMap() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Custom parameters impacting the behavior of the op.
getAttrMap() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Custom parameters impacting the behavior of the op.
getAttrMetadata(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the metadata of an attribute of this operation.
getAttrOrBuilder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilder(int) - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilder(int) - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilder(int) - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilder(int) - Method in class org.tensorflow.proto.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilder(int) - Method in interface org.tensorflow.proto.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilderList() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilderList() - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilderList() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Attr attr = 6;
getAttrOrBuilderList() - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilderList() - Method in class org.tensorflow.proto.OpDef: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrBuilderList() - Method in interface org.tensorflow.proto.OpDefOrBuilder: repeated .tensorflow.OpDef.AttrDef attr = 4;
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs: map<string, .tensorflow.AttrValue> attr = 1;
getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.proto.FunctionDef.ArgAttrsOrBuilder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.FunctionDef.Builder: Attributes specific to this function definition.
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.FunctionDef: Attributes specific to this function definition.
getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Attributes specific to this function definition.
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.NameAttrList: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.proto.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.NodeDef.Builder: Operation-specific graph-construction-time configuration.
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.NodeDef: Operation-specific graph-construction-time configuration.
getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.proto.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Custom parameters impacting the behavior of the op.
getAttrOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Custom parameters impacting the behavior of the op.
getAttrOrDefault(String, AttrValue) - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Custom parameters impacting the behavior of the op.
getAttrOrThrow(String) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrOrThrow(String) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs: map<string, .tensorflow.AttrValue> attr = 1;
getAttrOrThrow(String) - Method in interface org.tensorflow.proto.FunctionDef.ArgAttrsOrBuilder: map<string, .tensorflow.AttrValue> attr = 1;
getAttrOrThrow(String) - Method in class org.tensorflow.proto.FunctionDef.Builder: Attributes specific to this function definition.
getAttrOrThrow(String) - Method in class org.tensorflow.proto.FunctionDef: Attributes specific to this function definition.
getAttrOrThrow(String) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Attributes specific to this function definition.
getAttrOrThrow(String) - Method in class org.tensorflow.proto.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrThrow(String) - Method in class org.tensorflow.proto.NameAttrList: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrThrow(String) - Method in interface org.tensorflow.proto.NameAttrListOrBuilder: map<string, .tensorflow.AttrValue> attr = 2;
getAttrOrThrow(String) - Method in class org.tensorflow.proto.NodeDef.Builder: Operation-specific graph-construction-time configuration.
getAttrOrThrow(String) - Method in class org.tensorflow.proto.NodeDef: Operation-specific graph-construction-time configuration.
getAttrOrThrow(String) - Method in interface org.tensorflow.proto.NodeDefOrBuilder: Operation-specific graph-construction-time configuration.
getAttrOrThrow(String) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Custom parameters impacting the behavior of the op.
getAttrOrThrow(String) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Custom parameters impacting the behavior of the op.
getAttrOrThrow(String) - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Custom parameters impacting the behavior of the op.
getAttrShape(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a shape attribute of this operation.
getAttrShapeList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a shape list attribute of this operation.
getAttrString(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a string attribute of this operation.
getAttrStringList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a string list attribute of this operation.
getAttrTensor(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a tensor attribute of this operation.
getAttrTensorList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a tensor list attribute of this operation.
getAttrType(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a data type attribute of this operation.
getAttrTypeList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a data type list attribute of this operation.
getAttrValueProto(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of an attribute of this operation as an AttrValue proto.
getAudio() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
getAudio() - Method in class org.tensorflow.proto.Summary.Value: .tensorflow.Summary.Audio audio = 6;
getAudio() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: .tensorflow.Summary.Audio audio = 6;
getAudioBuilder() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
getAudioOrBuilder() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
getAudioOrBuilder() - Method in class org.tensorflow.proto.Summary.Value: .tensorflow.Summary.Audio audio = 6;
getAudioOrBuilder() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: .tensorflow.Summary.Audio audio = 6;
getAutoMixedPrecision() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for CUDA/oneDNN (default is OFF).
getAutoMixedPrecision() - Method in class org.tensorflow.proto.RewriterConfig: Optimize data types for CUDA/oneDNN (default is OFF).
getAutoMixedPrecision() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Optimize data types for CUDA/oneDNN (default is OFF).
getAutoMixedPrecisionCpu() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Emulate a model using data type float16 on CPU (default is OFF).
getAutoMixedPrecisionCpu() - Method in class org.tensorflow.proto.RewriterConfig: Emulate a model using data type float16 on CPU (default is OFF).
getAutoMixedPrecisionCpu() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Emulate a model using data type float16 on CPU (default is OFF).
getAutoMixedPrecisionCpuValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Emulate a model using data type float16 on CPU (default is OFF).
getAutoMixedPrecisionCpuValue() - Method in class org.tensorflow.proto.RewriterConfig: Emulate a model using data type float16 on CPU (default is OFF).
getAutoMixedPrecisionCpuValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Emulate a model using data type float16 on CPU (default is OFF).
getAutoMixedPrecisionMkl() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for oneDNN (default is OFF).
getAutoMixedPrecisionMkl() - Method in class org.tensorflow.proto.RewriterConfig: Optimize data types for oneDNN (default is OFF).
getAutoMixedPrecisionMkl() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Optimize data types for oneDNN (default is OFF).
getAutoMixedPrecisionMklValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for oneDNN (default is OFF).
getAutoMixedPrecisionMklValue() - Method in class org.tensorflow.proto.RewriterConfig: Optimize data types for oneDNN (default is OFF).
getAutoMixedPrecisionMklValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Optimize data types for oneDNN (default is OFF).
getAutoMixedPrecisionOnednnBfloat16() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for oneDNN (default is OFF).
getAutoMixedPrecisionOnednnBfloat16() - Method in class org.tensorflow.proto.RewriterConfig: Optimize data types for oneDNN (default is OFF).
getAutoMixedPrecisionOnednnBfloat16() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Optimize data types for oneDNN (default is OFF).
getAutoMixedPrecisionOnednnBfloat16Value() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for oneDNN (default is OFF).
getAutoMixedPrecisionOnednnBfloat16Value() - Method in class org.tensorflow.proto.RewriterConfig: Optimize data types for oneDNN (default is OFF).
getAutoMixedPrecisionOnednnBfloat16Value() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Optimize data types for oneDNN (default is OFF).
getAutoMixedPrecisionValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for CUDA/oneDNN (default is OFF).
getAutoMixedPrecisionValue() - Method in class org.tensorflow.proto.RewriterConfig: Optimize data types for CUDA/oneDNN (default is OFF).
getAutoMixedPrecisionValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Optimize data types for CUDA/oneDNN (default is OFF).
getAutoParallel() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallel() - Method in class org.tensorflow.proto.RewriterConfig: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallel() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallelBuilder() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallelOrBuilder() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallelOrBuilder() - Method in class org.tensorflow.proto.RewriterConfig: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoParallelOrBuilder() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
getAutoShardPolicy() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
getAutoShardPolicy() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
getAutoShardPolicy() - Method in interface org.tensorflow.proto.data.DatasetOptions.DistributeOptionsOrBuilder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
getAutoShardPolicyValue() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
getAutoShardPolicyValue() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
getAutoShardPolicyValue() - Method in interface org.tensorflow.proto.data.DatasetOptions.DistributeOptionsOrBuilder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
getAutotune() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: An indication whether autotuning is enabled for this node.
getAutotune() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: An indication whether autotuning is enabled for this node.
getAutotune() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: An indication whether autotuning is enabled for this node.
getAutotuneAlgorithm() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: .tensorflow.data.model.AutotuneAlgorithm autotune_algorithm = 4;
getAutotuneAlgorithm() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions: .tensorflow.data.model.AutotuneAlgorithm autotune_algorithm = 4;
getAutotuneAlgorithm() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder: .tensorflow.data.model.AutotuneAlgorithm autotune_algorithm = 4;
getAutotuneAlgorithmValue() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: .tensorflow.data.model.AutotuneAlgorithm autotune_algorithm = 4;
getAutotuneAlgorithmValue() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions: .tensorflow.data.model.AutotuneAlgorithm autotune_algorithm = 4;
getAutotuneAlgorithmValue() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder: .tensorflow.data.model.AutotuneAlgorithm autotune_algorithm = 4;
getAutotuneOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The autotune options associated with the dataset.
getAutotuneOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The autotune options associated with the dataset.
getAutotuneOptions() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The autotune options associated with the dataset.
getAutotuneOptionsBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The autotune options associated with the dataset.
getAutotuneOptionsOrBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The autotune options associated with the dataset.
getAutotuneOptionsOrBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The autotune options associated with the dataset.
getAutotuneOptionsOrBuilder() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The autotune options associated with the dataset.
getAvailable() - Method in class org.tensorflow.proto.MemoryInfo.Builder: Immediately available memory in bytes
getAvailable() - Method in class org.tensorflow.proto.MemoryInfo: Immediately available memory in bytes
getAvailable() - Method in interface org.tensorflow.proto.MemoryInfoOrBuilder: Immediately available memory in bytes
getAvailableDeviceInfo(int) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfo(int) - Method in class org.tensorflow.proto.MachineConfiguration: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfo(int) - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoBuilder(int) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoBuilderList() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoCount() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoCount() - Method in class org.tensorflow.proto.MachineConfiguration: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoCount() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoList() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoList() - Method in class org.tensorflow.proto.MachineConfiguration: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoList() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoOrBuilder(int) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoOrBuilder(int) - Method in class org.tensorflow.proto.MachineConfiguration: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoOrBuilder(int) - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoOrBuilderList() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoOrBuilderList() - Method in class org.tensorflow.proto.MachineConfiguration: Devices accessible to the test (e.g. as given by list_local_devices).
getAvailableDeviceInfoOrBuilderList() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Devices accessible to the test (e.g. as given by list_local_devices).
getAxes() - Method in class org.tensorflow.framework.constraints.MaxNorm: Gets the axes
getAxes() - Method in class org.tensorflow.framework.constraints.MinMaxNorm: Gets the axes
getAxes() - Method in class org.tensorflow.framework.constraints.UnitNorm: Gets the axes
getAxis() - Method in class org.tensorflow.framework.activations.Softmax: Gets the axis along which the softmax normalization is applied.
getB() - Method in class org.tensorflow.proto.AttrValue.Builder: "bool"
getB() - Method in class org.tensorflow.proto.AttrValue: "bool"
getB() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "bool"
getB(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(bool)"
getB(int) - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(bool)"
getB(int) - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(bool)"
getBackendServerPort() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Port for the Pathways server.
getBackendServerPort() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Port for the Pathways server.
getBackendServerPort() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Port for the Pathways server.
getBackProp() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Whether backprop is enabled for this while loop.
getBackProp() - Method in class org.tensorflow.proto.WhileContextDef: Whether backprop is enabled for this while loop.
getBackProp() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Whether backprop is enabled for this while loop.
getBadConsumers(int) - Method in class org.tensorflow.proto.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumers(int) - Method in class org.tensorflow.proto.VersionDef: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumers(int) - Method in interface org.tensorflow.proto.VersionDefOrBuilder: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumersCount() - Method in class org.tensorflow.proto.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumersCount() - Method in class org.tensorflow.proto.VersionDef: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumersCount() - Method in interface org.tensorflow.proto.VersionDefOrBuilder: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumersList() - Method in class org.tensorflow.proto.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumersList() - Method in class org.tensorflow.proto.VersionDef: Specific consumer versions which are disallowed (e.g. due to bugs).
getBadConsumersList() - Method in interface org.tensorflow.proto.VersionDefOrBuilder: Specific consumer versions which are disallowed (e.g. due to bugs).
getBandwidth() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Memory bandwidth in KB/s
getBandwidth() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Memory bandwidth in KB/s
getBandwidth() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Memory bandwidth in KB/s
getBareConcreteFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBareConcreteFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBareConcreteFunction() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBareConcreteFunctionBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBareConcreteFunctionOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBareConcreteFunctionOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBareConcreteFunctionOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
getBCount() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(bool)"
getBCount() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(bool)"
getBCount() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(bool)"
getBenchmarkType() - Method in class org.tensorflow.proto.TestResults.Builder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
getBenchmarkType() - Method in class org.tensorflow.proto.TestResults: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
getBenchmarkType() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
getBenchmarkTypeValue() - Method in class org.tensorflow.proto.TestResults.Builder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
getBenchmarkTypeValue() - Method in class org.tensorflow.proto.TestResults: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
getBenchmarkTypeValue() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
getBin() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int32 bin = 1;
getBin() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary: int32 bin = 1;
getBin() - Method in interface org.tensorflow.proto.BfcMemoryMap.BinSummaryOrBuilder: int32 bin = 1;
getBin() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: int32 bin = 4;
getBin() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk: int32 bin = 4;
getBin() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemChunkOrBuilder: int32 bin = 4;
getBinSummary(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummary(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummary(int) - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryBuilder(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryBuilderList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryCount() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryCount() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryCount() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryList() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryOrBuilder(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryOrBuilder(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryOrBuilder(int) - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryOrBuilderList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryOrBuilderList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.BinSummary bin_summary = 2;
getBinSummaryOrBuilderList() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.BinSummary bin_summary = 2;
getBits() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '64bit'
getBits() - Method in class org.tensorflow.proto.PlatformInfo: e.g. '64bit'
getBits() - Method in interface org.tensorflow.proto.PlatformInfoOrBuilder: e.g. '64bit'
getBitsBytes() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '64bit'
getBitsBytes() - Method in class org.tensorflow.proto.PlatformInfo: e.g. '64bit'
getBitsBytes() - Method in interface org.tensorflow.proto.PlatformInfoOrBuilder: e.g. '64bit'
getBList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(bool)"
getBList() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(bool)"
getBList() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(bool)"
getBoolVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_BOOL
getBoolVal(int) - Method in class org.tensorflow.proto.TensorProto: DT_BOOL
getBoolVal(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_BOOL
getBoolValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_BOOL
getBoolValCount() - Method in class org.tensorflow.proto.TensorProto: DT_BOOL
getBoolValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_BOOL
getBoolValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_BOOL
getBoolValList() - Method in class org.tensorflow.proto.TensorProto: DT_BOOL
getBoolValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_BOOL
getBoolValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a boolean value.
getBoolValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a boolean value.
getBoolValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a boolean value.
getBoundedTensorSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
getBoundedTensorSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for tf.BoundedTensorSpec.
getBoundedTensorSpecValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for tf.BoundedTensorSpec.
getBoundedTensorSpecValueBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
getBoundedTensorSpecValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
getBoundedTensorSpecValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for tf.BoundedTensorSpec.
getBoundedTensorSpecValueOrBuilder() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for tf.BoundedTensorSpec.
getBoundInputs(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
getBoundInputs(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction: repeated int32 bound_inputs = 2;
getBoundInputs(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunctionOrBuilder: repeated int32 bound_inputs = 2;
getBoundInputsCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
getBoundInputsCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction: repeated int32 bound_inputs = 2;
getBoundInputsCount() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunctionOrBuilder: repeated int32 bound_inputs = 2;
getBoundInputsList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
getBoundInputsList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction: repeated int32 bound_inputs = 2;
getBoundInputsList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunctionOrBuilder: repeated int32 bound_inputs = 2;
getBranch() - Method in class org.tensorflow.proto.CondContextDef.Builder: Branch prediction. 0 or 1.
getBranch() - Method in class org.tensorflow.proto.CondContextDef: Branch prediction. 0 or 1.
getBranch() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Branch prediction. 0 or 1.
getBucket(int) - Method in class org.tensorflow.proto.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
getBucket(int) - Method in class org.tensorflow.proto.HistogramProto: repeated double bucket = 7 [packed = true];
getBucket(int) - Method in interface org.tensorflow.proto.HistogramProtoOrBuilder: repeated double bucket = 7 [packed = true];
getBucketCount() - Method in class org.tensorflow.proto.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
getBucketCount() - Method in class org.tensorflow.proto.HistogramProto: repeated double bucket = 7 [packed = true];
getBucketCount() - Method in interface org.tensorflow.proto.HistogramProtoOrBuilder: repeated double bucket = 7 [packed = true];
getBucketLimit(int) - Method in class org.tensorflow.proto.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
getBucketLimit(int) - Method in class org.tensorflow.proto.HistogramProto: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
getBucketLimit(int) - Method in interface org.tensorflow.proto.HistogramProtoOrBuilder: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
getBucketLimitCount() - Method in class org.tensorflow.proto.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
getBucketLimitCount() - Method in class org.tensorflow.proto.HistogramProto: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
getBucketLimitCount() - Method in interface org.tensorflow.proto.HistogramProtoOrBuilder: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
getBucketLimitList() - Method in class org.tensorflow.proto.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
getBucketLimitList() - Method in class org.tensorflow.proto.HistogramProto: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
getBucketLimitList() - Method in interface org.tensorflow.proto.HistogramProtoOrBuilder: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
getBucketList() - Method in class org.tensorflow.proto.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
getBucketList() - Method in class org.tensorflow.proto.HistogramProto: repeated double bucket = 7 [packed = true];
getBucketList() - Method in interface org.tensorflow.proto.HistogramProtoOrBuilder: repeated double bucket = 7 [packed = true];
getBufferedBytes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of bytes stored in this node's buffer.
getBufferedBytes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: The number of bytes stored in this node's buffer.
getBufferedBytes() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: The number of bytes stored in this node's buffer.
getBufferedElements() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of elements stored in this node's buffer.
getBufferedElements() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: The number of elements stored in this node's buffer.
getBufferedElements() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: The number of elements stored in this node's buffer.
getBuildConfiguration() - Method in class org.tensorflow.proto.TestResults.Builder: The configuration of the build (compiled opt?
getBuildConfiguration() - Method in class org.tensorflow.proto.TestResults: The configuration of the build (compiled opt?
getBuildConfiguration() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The configuration of the build (compiled opt?
getBuildConfigurationBuilder() - Method in class org.tensorflow.proto.TestResults.Builder: The configuration of the build (compiled opt?
getBuildConfigurationOrBuilder() - Method in class org.tensorflow.proto.TestResults.Builder: The configuration of the build (compiled opt?
getBuildConfigurationOrBuilder() - Method in class org.tensorflow.proto.TestResults: The configuration of the build (compiled opt?
getBuildConfigurationOrBuilder() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The configuration of the build (compiled opt?
getBuildCostModel() - Method in class org.tensorflow.proto.GraphOptions.Builder: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
getBuildCostModel() - Method in class org.tensorflow.proto.GraphOptions: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
getBuildCostModel() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
getBuildCostModelAfter() - Method in class org.tensorflow.proto.GraphOptions.Builder: The number of steps to skip before collecting statistics for the cost model.
getBuildCostModelAfter() - Method in class org.tensorflow.proto.GraphOptions: The number of steps to skip before collecting statistics for the cost model.
getBuildCostModelAfter() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: The number of steps to skip before collecting statistics for the cost model.
getBusId() - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional bus locality of device.
getBusId() - Method in class org.tensorflow.proto.DeviceLocality: Optional bus locality of device.
getBusId() - Method in interface org.tensorflow.proto.DeviceLocalityOrBuilder: Optional bus locality of device.
getBusId() - Method in class org.tensorflow.proto.GPUInfo.Builder: e.g. "0000:04:00.0"
getBusId() - Method in class org.tensorflow.proto.GPUInfo: e.g. "0000:04:00.0"
getBusId() - Method in interface org.tensorflow.proto.GPUInfoOrBuilder: e.g. "0000:04:00.0"
getBusIdBytes() - Method in class org.tensorflow.proto.GPUInfo.Builder: e.g. "0000:04:00.0"
getBusIdBytes() - Method in class org.tensorflow.proto.GPUInfo: e.g. "0000:04:00.0"
getBusIdBytes() - Method in interface org.tensorflow.proto.GPUInfoOrBuilder: e.g. "0000:04:00.0"
getBytes() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Byte size of the file.
getBytes() - Method in class org.tensorflow.proto.DebuggedSourceFile: Byte size of the file.
getBytes() - Method in interface org.tensorflow.proto.DebuggedSourceFileOrBuilder: Byte size of the file.
getBytesConsumed() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of bytes consumed by the node.
getBytesConsumed() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: The number of bytes consumed by the node.
getBytesConsumed() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: The number of bytes consumed by the node.
getBytesInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: int64 bytes_in_use = 2;
getBytesInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats: int64 bytes_in_use = 2;
getBytesInUse() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemAllocatorStatsOrBuilder: int64 bytes_in_use = 2;
getBytesList() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesList() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesList() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesList() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
getBytesList() - Method in class org.tensorflow.proto.Feature: .tensorflow.BytesList bytes_list = 1;
getBytesList() - Method in interface org.tensorflow.proto.FeatureOrBuilder: .tensorflow.BytesList bytes_list = 1;
getBytesListBuilder() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesListBuilder() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
getBytesListOrBuilder() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesListOrBuilder() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesListOrBuilder() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
getBytesListOrBuilder() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
getBytesListOrBuilder() - Method in class org.tensorflow.proto.Feature: .tensorflow.BytesList bytes_list = 1;
getBytesListOrBuilder() - Method in interface org.tensorflow.proto.FeatureOrBuilder: .tensorflow.BytesList bytes_list = 1;
getBytesProduced() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of bytes produced by the node.
getBytesProduced() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: The number of bytes produced by the node.
getBytesProduced() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: The number of bytes produced by the node.
getBytesValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: bytes bytes_value = 6;
getBytesValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: bytes bytes_value = 6;
getBytesValue() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: bytes bytes_value = 6;
getCacheRpcResponse() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests .
getCacheRpcResponse() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions: Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests .
getCacheRpcResponse() - Method in interface org.tensorflow.proto.RpcOptions.RPCOptionsOrBuilder: Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests .
getCacheSize() - Method in class org.tensorflow.proto.CPUInfo.Builder: Deprecated.
getCacheSize() - Method in class org.tensorflow.proto.CPUInfo: Deprecated.
getCacheSize() - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: Deprecated.
getCacheSizeCount() - Method in class org.tensorflow.proto.CPUInfo.Builder
getCacheSizeCount() - Method in class org.tensorflow.proto.CPUInfo
getCacheSizeCount() - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: Cache sizes (in bytes), e.g.
getCacheSizeMap() - Method in class org.tensorflow.proto.CPUInfo.Builder: Cache sizes (in bytes), e.g.
getCacheSizeMap() - Method in class org.tensorflow.proto.CPUInfo: Cache sizes (in bytes), e.g.
getCacheSizeMap() - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: Cache sizes (in bytes), e.g.
getCacheSizeOrDefault(String, long) - Method in class org.tensorflow.proto.CPUInfo.Builder: Cache sizes (in bytes), e.g.
getCacheSizeOrDefault(String, long) - Method in class org.tensorflow.proto.CPUInfo: Cache sizes (in bytes), e.g.
getCacheSizeOrDefault(String, long) - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: Cache sizes (in bytes), e.g.
getCacheSizeOrThrow(String) - Method in class org.tensorflow.proto.CPUInfo.Builder: Cache sizes (in bytes), e.g.
getCacheSizeOrThrow(String) - Method in class org.tensorflow.proto.CPUInfo: Cache sizes (in bytes), e.g.
getCacheSizeOrThrow(String) - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: Cache sizes (in bytes), e.g.
getCancelOpName() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: The operation to run to cancel the queue.
getCancelOpName() - Method in class org.tensorflow.proto.QueueRunnerDef: The operation to run to cancel the queue.
getCancelOpName() - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: The operation to run to cancel the queue.
getCancelOpNameBytes() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: The operation to run to cancel the queue.
getCancelOpNameBytes() - Method in class org.tensorflow.proto.QueueRunnerDef: The operation to run to cancel the queue.
getCancelOpNameBytes() - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: The operation to run to cancel the queue.
getCanonicalizedInputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
getCanonicalizedInputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction: Input in canonicalized form that was received to create this concrete function.
getCanonicalizedInputSignature() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunctionOrBuilder: Input in canonicalized form that was received to create this concrete function.
getCanonicalizedInputSignatureBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
getCanonicalizedInputSignatureOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
getCanonicalizedInputSignatureOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction: Input in canonicalized form that was received to create this concrete function.
getCanonicalizedInputSignatureOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunctionOrBuilder: Input in canonicalized form that was received to create this concrete function.
getCapturedTensor() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
getCapturedTensor() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.CapturedTensor captured_tensor = 12;
getCapturedTensor() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.CapturedTensor captured_tensor = 12;
getCapturedTensorBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
getCapturedTensorOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
getCapturedTensorOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.CapturedTensor captured_tensor = 12;
getCapturedTensorOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.CapturedTensor captured_tensor = 12;
getCardinality() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder: Cardinality of the dataset.
getCardinality() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata: Cardinality of the dataset.
getCardinality() - Method in interface org.tensorflow.proto.data.DataService.DataServiceMetadataOrBuilder: Cardinality of the dataset.
getCcFlags(int) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: CC compiler flags, if known
getCcFlags(int) - Method in class org.tensorflow.proto.BuildConfiguration: CC compiler flags, if known
getCcFlags(int) - Method in interface org.tensorflow.proto.BuildConfigurationOrBuilder: CC compiler flags, if known
getCcFlagsBytes(int) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: CC compiler flags, if known
getCcFlagsBytes(int) - Method in class org.tensorflow.proto.BuildConfiguration: CC compiler flags, if known
getCcFlagsBytes(int) - Method in interface org.tensorflow.proto.BuildConfigurationOrBuilder: CC compiler flags, if known
getCcFlagsCount() - Method in class org.tensorflow.proto.BuildConfiguration.Builder: CC compiler flags, if known
getCcFlagsCount() - Method in class org.tensorflow.proto.BuildConfiguration: CC compiler flags, if known
getCcFlagsCount() - Method in interface org.tensorflow.proto.BuildConfigurationOrBuilder: CC compiler flags, if known
getCcFlagsList() - Method in class org.tensorflow.proto.BuildConfiguration.Builder: CC compiler flags, if known
getCcFlagsList() - Method in class org.tensorflow.proto.BuildConfiguration: CC compiler flags, if known
getCcFlagsList() - Method in interface org.tensorflow.proto.BuildConfigurationOrBuilder: CC compiler flags, if known
getChangelist() - Method in class org.tensorflow.proto.CommitId.Builder: Submitted changelist.
getChangelist() - Method in class org.tensorflow.proto.CommitId: Submitted changelist.
getChangelist() - Method in interface org.tensorflow.proto.CommitIdOrBuilder: Submitted changelist.
getCheckpointHash() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of the checkpoint.
getCheckpointHash() - Method in class org.tensorflow.proto.FingerprintDef: Hash of the checkpoint.
getCheckpointHash() - Method in interface org.tensorflow.proto.FingerprintDefOrBuilder: Hash of the checkpoint.
getCheckpointKey() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
getCheckpointKey() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor: The generated name of the Tensor in the checkpoint.
getCheckpointKey() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: The generated name of the Tensor in the checkpoint.
getCheckpointKeyBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
getCheckpointKeyBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor: The generated name of the Tensor in the checkpoint.
getCheckpointKeyBytes() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: The generated name of the Tensor in the checkpoint.
getCheckpointPath() - Method in class org.tensorflow.proto.SessionLog.Builder: This checkpoint_path contains both the path and filename.
getCheckpointPath() - Method in class org.tensorflow.proto.SessionLog: This checkpoint_path contains both the path and filename.
getCheckpointPath() - Method in interface org.tensorflow.proto.SessionLogOrBuilder: This checkpoint_path contains both the path and filename.
getCheckpointPathBytes() - Method in class org.tensorflow.proto.SessionLog.Builder: This checkpoint_path contains both the path and filename.
getCheckpointPathBytes() - Method in class org.tensorflow.proto.SessionLog: This checkpoint_path contains both the path and filename.
getCheckpointPathBytes() - Method in interface org.tensorflow.proto.SessionLogOrBuilder: This checkpoint_path contains both the path and filename.
getChildId(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
getChildId(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: XPlane.event_metadata map key for children events.
getChildId(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: XPlane.event_metadata map key for children events.
getChildIdCount() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
getChildIdCount() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: XPlane.event_metadata map key for children events.
getChildIdCount() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: XPlane.event_metadata map key for children events.
getChildIdList() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
getChildIdList() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: XPlane.event_metadata map key for children events.
getChildIdList() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: XPlane.event_metadata map key for children events.
getChildren(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildren(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Objects which this object depends on: named edges in the dependency graph.
getChildren(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Objects which this object depends on: named edges in the dependency graph.
getChildren(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildren(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Objects which this object depends on.
getChildren(int) - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Objects which this object depends on.
getChildrenBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildrenBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildrenBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildrenBuilderList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildrenCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildrenCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Objects which this object depends on: named edges in the dependency graph.
getChildrenCount() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Objects which this object depends on: named edges in the dependency graph.
getChildrenCount() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildrenCount() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Objects which this object depends on.
getChildrenCount() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Objects which this object depends on.
getChildrenList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildrenList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Objects which this object depends on: named edges in the dependency graph.
getChildrenList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Objects which this object depends on: named edges in the dependency graph.
getChildrenList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildrenList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Objects which this object depends on.
getChildrenList() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Objects which this object depends on.
getChildrenOrBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildrenOrBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Objects which this object depends on: named edges in the dependency graph.
getChildrenOrBuilder(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Objects which this object depends on: named edges in the dependency graph.
getChildrenOrBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildrenOrBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Objects which this object depends on.
getChildrenOrBuilder(int) - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Objects which this object depends on.
getChildrenOrBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
getChildrenOrBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Objects which this object depends on: named edges in the dependency graph.
getChildrenOrBuilderList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Objects which this object depends on: named edges in the dependency graph.
getChildrenOrBuilderList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
getChildrenOrBuilderList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Objects which this object depends on.
getChildrenOrBuilderList() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Objects which this object depends on.
getChunk(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunk(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.MemChunk chunk = 3;
getChunk(int) - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.MemChunk chunk = 3;
getChunkBuilder(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunkBuilderList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunkCount() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunkCount() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.MemChunk chunk = 3;
getChunkCount() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.MemChunk chunk = 3;
getChunkList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunkList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.MemChunk chunk = 3;
getChunkList() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.MemChunk chunk = 3;
getChunkOrBuilder(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunkOrBuilder(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.MemChunk chunk = 3;
getChunkOrBuilder(int) - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.MemChunk chunk = 3;
getChunkOrBuilderList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
getChunkOrBuilderList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.MemChunk chunk = 3;
getChunkOrBuilderList() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.MemChunk chunk = 3;
getClassId() - Method in class org.tensorflow.framework.metrics.Precision: Gets the classId, may be null
getClassId() - Method in class org.tensorflow.framework.metrics.Recall: Gets the class id
getClientTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long to wait before garbage-collecting a client that hasn't heartbeated to the dispatcher.
getClientTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: How long to wait before garbage-collecting a client that hasn't heartbeated to the dispatcher.
getClientTimeoutMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: How long to wait before garbage-collecting a client that hasn't heartbeated to the dispatcher.
getCloseOpName() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: The operation to run to close the queue.
getCloseOpName() - Method in class org.tensorflow.proto.QueueRunnerDef: The operation to run to close the queue.
getCloseOpName() - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: The operation to run to close the queue.
getCloseOpNameBytes() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: The operation to run to close the queue.
getCloseOpNameBytes() - Method in class org.tensorflow.proto.QueueRunnerDef: The operation to run to close the queue.
getCloseOpNameBytes() - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: The operation to run to close the queue.
getCluster() - Method in class org.tensorflow.proto.ServerDef.Builder: The cluster of which this server is a member.
getCluster() - Method in class org.tensorflow.proto.ServerDef: The cluster of which this server is a member.
getCluster() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: The cluster of which this server is a member.
getClusterBuilder() - Method in class org.tensorflow.proto.ServerDef.Builder: The cluster of which this server is a member.
getClusterDef() - Method in class org.tensorflow.proto.ConfigProto.Builder: Optional list of all workers to use in this session.
getClusterDef() - Method in class org.tensorflow.proto.ConfigProto: Optional list of all workers to use in this session.
getClusterDef() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Optional list of all workers to use in this session.
getClusterDefBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: Optional list of all workers to use in this session.
getClusterDefOrBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: Optional list of all workers to use in this session.
getClusterDefOrBuilder() - Method in class org.tensorflow.proto.ConfigProto: Optional list of all workers to use in this session.
getClusterDefOrBuilder() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Optional list of all workers to use in this session.
getClusterDeviceFilters() - Method in class org.tensorflow.proto.ServerDef.Builder: Device filters for remote tasks in the cluster.
getClusterDeviceFilters() - Method in class org.tensorflow.proto.ServerDef: Device filters for remote tasks in the cluster.
getClusterDeviceFilters() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: Device filters for remote tasks in the cluster.
getClusterDeviceFiltersBuilder() - Method in class org.tensorflow.proto.ServerDef.Builder: Device filters for remote tasks in the cluster.
getClusterDeviceFiltersOrBuilder() - Method in class org.tensorflow.proto.ServerDef.Builder: Device filters for remote tasks in the cluster.
getClusterDeviceFiltersOrBuilder() - Method in class org.tensorflow.proto.ServerDef: Device filters for remote tasks in the cluster.
getClusterDeviceFiltersOrBuilder() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: Device filters for remote tasks in the cluster.
getClusterOrBuilder() - Method in class org.tensorflow.proto.ServerDef.Builder: The cluster of which this server is a member.
getClusterOrBuilder() - Method in class org.tensorflow.proto.ServerDef: The cluster of which this server is a member.
getClusterOrBuilder() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: The cluster of which this server is a member.
getClusterRegisterTimeoutInMs() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Maximum wait time for all members in the cluster to be registered.
getClusterRegisterTimeoutInMs() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: Maximum wait time for all members in the cluster to be registered.
getClusterRegisterTimeoutInMs() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: Maximum wait time for all members in the cluster to be registered.
getCode() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Source code contained in this file line.
getCode() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: Source code contained in this file line.
getCode() - Method in interface org.tensorflow.proto.GraphDebugInfo.FileLineColOrBuilder: Source code contained in this file line.
getCode() - Method in class org.tensorflow.proto.StatusProto.Builder: Status code as defined in tensorflow/tsl/protobuf/error_codes.proto.
getCode() - Method in class org.tensorflow.proto.StatusProto: Status code as defined in tensorflow/tsl/protobuf/error_codes.proto.
getCode() - Method in interface org.tensorflow.proto.StatusProtoOrBuilder: Status code as defined in tensorflow/tsl/protobuf/error_codes.proto.
getCodeBytes() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Source code contained in this file line.
getCodeBytes() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: Source code contained in this file line.
getCodeBytes() - Method in interface org.tensorflow.proto.GraphDebugInfo.FileLineColOrBuilder: Source code contained in this file line.
getCodeLocation() - Method in class org.tensorflow.proto.Execution.Builder: Stack trace of the eager execution.
getCodeLocation() - Method in class org.tensorflow.proto.Execution: Stack trace of the eager execution.
getCodeLocation() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Stack trace of the eager execution.
getCodeLocation() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
getCodeLocation() - Method in class org.tensorflow.proto.GraphOpCreation: The unique ID for code location (stack trace) of the op's creation.
getCodeLocation() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: The unique ID for code location (stack trace) of the op's creation.
getCodeLocationBuilder() - Method in class org.tensorflow.proto.Execution.Builder: Stack trace of the eager execution.
getCodeLocationBuilder() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
getCodeLocationOrBuilder() - Method in class org.tensorflow.proto.Execution.Builder: Stack trace of the eager execution.
getCodeLocationOrBuilder() - Method in class org.tensorflow.proto.Execution: Stack trace of the eager execution.
getCodeLocationOrBuilder() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Stack trace of the eager execution.
getCodeLocationOrBuilder() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
getCodeLocationOrBuilder() - Method in class org.tensorflow.proto.GraphOpCreation: The unique ID for code location (stack trace) of the op's creation.
getCodeLocationOrBuilder() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: The unique ID for code location (stack trace) of the op's creation.
getCodeValue() - Method in class org.tensorflow.proto.StatusProto.Builder: Status code as defined in tensorflow/tsl/protobuf/error_codes.proto.
getCodeValue() - Method in class org.tensorflow.proto.StatusProto: Status code as defined in tensorflow/tsl/protobuf/error_codes.proto.
getCodeValue() - Method in interface org.tensorflow.proto.StatusProtoOrBuilder: Status code as defined in tensorflow/tsl/protobuf/error_codes.proto.
getCol() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Col number in the file line.
getCol() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: Col number in the file line.
getCol() - Method in interface org.tensorflow.proto.GraphDebugInfo.FileLineColOrBuilder: Col number in the file line.
getCollectionDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Deprecated.
getCollectionDef() - Method in class org.tensorflow.proto.MetaGraphDef: Deprecated.
getCollectionDef() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: Deprecated.
getCollectionDefCount() - Method in class org.tensorflow.proto.MetaGraphDef.Builder
getCollectionDefCount() - Method in class org.tensorflow.proto.MetaGraphDef
getCollectionDefCount() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
getCollectionDefMap() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
getCollectionDefMap() - Method in class org.tensorflow.proto.MetaGraphDef: collection_def: Map from collection name to collections.
getCollectionDefMap() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
getCollectionDefOrDefault(String, CollectionDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
getCollectionDefOrDefault(String, CollectionDef) - Method in class org.tensorflow.proto.MetaGraphDef: collection_def: Map from collection name to collections.
getCollectionDefOrDefault(String, CollectionDef) - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
getCollectionDefOrThrow(String) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
getCollectionDefOrThrow(String) - Method in class org.tensorflow.proto.MetaGraphDef: collection_def: Map from collection name to collections.
getCollectionDefOrThrow(String) - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: collection_def: Map from collection name to collections.
getCollectiveDeterministicSequentialExecution() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
getCollectiveDeterministicSequentialExecution() - Method in class org.tensorflow.proto.ConfigProto.Experimental: If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
getCollectiveDeterministicSequentialExecution() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
getCollectiveGraphKey() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
getCollectiveGraphKey() - Method in class org.tensorflow.proto.RunOptions.Experimental: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
getCollectiveGraphKey() - Method in interface org.tensorflow.proto.RunOptions.ExperimentalOrBuilder: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
getCollectiveGroupLeader() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Task name for group resolution.
getCollectiveGroupLeader() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Task name for group resolution.
getCollectiveGroupLeader() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Task name for group resolution.
getCollectiveGroupLeaderBytes() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Task name for group resolution.
getCollectiveGroupLeaderBytes() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Task name for group resolution.
getCollectiveGroupLeaderBytes() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Task name for group resolution.
getCollectiveNccl() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, use NCCL for CollectiveOps.
getCollectiveNccl() - Method in class org.tensorflow.proto.ConfigProto.Experimental: If true, use NCCL for CollectiveOps.
getCollectiveNccl() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: If true, use NCCL for CollectiveOps.
getCollectiveRingOrder() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
getCollectiveRingOrder() - Method in class org.tensorflow.proto.GPUOptions.Experimental: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
getCollectiveRingOrder() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
getCollectiveRingOrderBytes() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
getCollectiveRingOrderBytes() - Method in class org.tensorflow.proto.GPUOptions.Experimental: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
getCollectiveRingOrderBytes() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
getColorspace() - Method in class org.tensorflow.proto.Summary.Image.Builder: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA
getColorspace() - Method in class org.tensorflow.proto.Summary.Image: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA
getColorspace() - Method in interface org.tensorflow.proto.Summary.ImageOrBuilder: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA
getCommitId() - Method in class org.tensorflow.proto.TestResults.Builder: The commit id (git hash or changelist)
getCommitId() - Method in class org.tensorflow.proto.TestResults: The commit id (git hash or changelist)
getCommitId() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The commit id (git hash or changelist)
getCommitIdBuilder() - Method in class org.tensorflow.proto.TestResults.Builder: The commit id (git hash or changelist)
getCommitIdOrBuilder() - Method in class org.tensorflow.proto.TestResults.Builder: The commit id (git hash or changelist)
getCommitIdOrBuilder() - Method in class org.tensorflow.proto.TestResults: The commit id (git hash or changelist)
getCommitIdOrBuilder() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The commit id (git hash or changelist)
getCommonSubgraphElimination() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Common subgraph elimination (default is ON) e.g.
getCommonSubgraphElimination() - Method in class org.tensorflow.proto.RewriterConfig: Common subgraph elimination (default is ON) e.g.
getCommonSubgraphElimination() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Common subgraph elimination (default is ON) e.g.
getCommonSubgraphEliminationValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Common subgraph elimination (default is ON) e.g.
getCommonSubgraphEliminationValue() - Method in class org.tensorflow.proto.RewriterConfig: Common subgraph elimination (default is ON) e.g.
getCommonSubgraphEliminationValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Common subgraph elimination (default is ON) e.g.
getComponentMetadata(int) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
getComponentMetadata(int) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement: Metadata for the components of the element.
getComponentMetadata(int) - Method in interface org.tensorflow.proto.data.Dataset.CompressedElementOrBuilder: Metadata for the components of the element.
getComponentMetadataBuilder(int) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
getComponentMetadataBuilderList() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
getComponentMetadataCount() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
getComponentMetadataCount() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement: Metadata for the components of the element.
getComponentMetadataCount() - Method in interface org.tensorflow.proto.data.Dataset.CompressedElementOrBuilder: Metadata for the components of the element.
getComponentMetadataList() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
getComponentMetadataList() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement: Metadata for the components of the element.
getComponentMetadataList() - Method in interface org.tensorflow.proto.data.Dataset.CompressedElementOrBuilder: Metadata for the components of the element.
getComponentMetadataOrBuilder(int) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
getComponentMetadataOrBuilder(int) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement: Metadata for the components of the element.
getComponentMetadataOrBuilder(int) - Method in interface org.tensorflow.proto.data.Dataset.CompressedElementOrBuilder: Metadata for the components of the element.
getComponentMetadataOrBuilderList() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
getComponentMetadataOrBuilderList() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement: Metadata for the components of the element.
getComponentMetadataOrBuilderList() - Method in interface org.tensorflow.proto.data.Dataset.CompressedElementOrBuilder: Metadata for the components of the element.
getComponents(int) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
getComponents(int) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement: repeated .tensorflow.TensorProto components = 1;
getComponents(int) - Method in interface org.tensorflow.proto.data.Dataset.UncompressedElementOrBuilder: repeated .tensorflow.TensorProto components = 1;
getComponents(int) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponents(int) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor: A TensorInfo for each flattened component tensor.
getComponents(int) - Method in interface org.tensorflow.proto.TensorInfo.CompositeTensorOrBuilder: A TensorInfo for each flattened component tensor.
getComponentsBuilder(int) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
getComponentsBuilder(int) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponentsBuilderList() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
getComponentsBuilderList() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponentsCount() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
getComponentsCount() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement: repeated .tensorflow.TensorProto components = 1;
getComponentsCount() - Method in interface org.tensorflow.proto.data.Dataset.UncompressedElementOrBuilder: repeated .tensorflow.TensorProto components = 1;
getComponentsCount() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponentsCount() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor: A TensorInfo for each flattened component tensor.
getComponentsCount() - Method in interface org.tensorflow.proto.TensorInfo.CompositeTensorOrBuilder: A TensorInfo for each flattened component tensor.
getComponentsList() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
getComponentsList() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement: repeated .tensorflow.TensorProto components = 1;
getComponentsList() - Method in interface org.tensorflow.proto.data.Dataset.UncompressedElementOrBuilder: repeated .tensorflow.TensorProto components = 1;
getComponentsList() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponentsList() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor: A TensorInfo for each flattened component tensor.
getComponentsList() - Method in interface org.tensorflow.proto.TensorInfo.CompositeTensorOrBuilder: A TensorInfo for each flattened component tensor.
getComponentsOrBuilder(int) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
getComponentsOrBuilder(int) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement: repeated .tensorflow.TensorProto components = 1;
getComponentsOrBuilder(int) - Method in interface org.tensorflow.proto.data.Dataset.UncompressedElementOrBuilder: repeated .tensorflow.TensorProto components = 1;
getComponentsOrBuilder(int) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponentsOrBuilder(int) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor: A TensorInfo for each flattened component tensor.
getComponentsOrBuilder(int) - Method in interface org.tensorflow.proto.TensorInfo.CompositeTensorOrBuilder: A TensorInfo for each flattened component tensor.
getComponentsOrBuilderList() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
getComponentsOrBuilderList() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement: repeated .tensorflow.TensorProto components = 1;
getComponentsOrBuilderList() - Method in interface org.tensorflow.proto.data.Dataset.UncompressedElementOrBuilder: repeated .tensorflow.TensorProto components = 1;
getComponentsOrBuilderList() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
getComponentsOrBuilderList() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor: A TensorInfo for each flattened component tensor.
getComponentsOrBuilderList() - Method in interface org.tensorflow.proto.TensorInfo.CompositeTensorOrBuilder: A TensorInfo for each flattened component tensor.
getCompositeTensor() - Method in class org.tensorflow.proto.TensorInfo.Builder: Generic encoding for CompositeTensors.
getCompositeTensor() - Method in class org.tensorflow.proto.TensorInfo: Generic encoding for CompositeTensors.
getCompositeTensor() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: Generic encoding for CompositeTensors.
getCompositeTensorBuilder() - Method in class org.tensorflow.proto.TensorInfo.Builder: Generic encoding for CompositeTensors.
getCompositeTensorOrBuilder() - Method in class org.tensorflow.proto.TensorInfo.Builder: Generic encoding for CompositeTensors.
getCompositeTensorOrBuilder() - Method in class org.tensorflow.proto.TensorInfo: Generic encoding for CompositeTensors.
getCompositeTensorOrBuilder() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: Generic encoding for CompositeTensors.
getCompression() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder: .tensorflow.data.DataServiceMetadata.Compression compression = 2;
getCompression() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata: .tensorflow.data.DataServiceMetadata.Compression compression = 2;
getCompression() - Method in interface org.tensorflow.proto.data.DataService.DataServiceMetadataOrBuilder: .tensorflow.data.DataServiceMetadata.Compression compression = 2;
getCompression() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder: Whether and how to compress the snapshot.
getCompression() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata: Whether and how to compress the snapshot.
getCompression() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadataOrBuilder: Whether and how to compress the snapshot.
getCompressionAlgorithm() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: The compression algorithm to be used.
getCompressionAlgorithm() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions: The compression algorithm to be used.
getCompressionAlgorithm() - Method in interface org.tensorflow.proto.RpcOptions.RPCOptionsOrBuilder: The compression algorithm to be used.
getCompressionAlgorithmBytes() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: The compression algorithm to be used.
getCompressionAlgorithmBytes() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions: The compression algorithm to be used.
getCompressionAlgorithmBytes() - Method in interface org.tensorflow.proto.RpcOptions.RPCOptionsOrBuilder: The compression algorithm to be used.
getCompressionBytes() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder: Whether and how to compress the snapshot.
getCompressionBytes() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata: Whether and how to compress the snapshot.
getCompressionBytes() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadataOrBuilder: Whether and how to compress the snapshot.
getCompressionLevel() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: If compression_algorithm is set, the compression level to be used.
getCompressionLevel() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions: If compression_algorithm is set, the compression level to be used.
getCompressionLevel() - Method in interface org.tensorflow.proto.RpcOptions.RPCOptionsOrBuilder: If compression_algorithm is set, the compression level to be used.
getCompressionValue() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder: .tensorflow.data.DataServiceMetadata.Compression compression = 2;
getCompressionValue() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata: .tensorflow.data.DataServiceMetadata.Compression compression = 2;
getCompressionValue() - Method in interface org.tensorflow.proto.data.DataService.DataServiceMetadataOrBuilder: .tensorflow.data.DataServiceMetadata.Compression compression = 2;
getComputeCost() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Estimate of the computational cost of this node, in microseconds.
getComputeCost() - Method in class org.tensorflow.proto.CostGraphDef.Node: Estimate of the computational cost of this node, in microseconds.
getComputeCost() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: Estimate of the computational cost of this node, in microseconds.
getComputeCost() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Time it takes to run the op (in nanoseconds).
getComputeCost() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: Time it takes to run the op (in nanoseconds).
getComputeCost() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: Time it takes to run the op (in nanoseconds).
getComputeEfficiency() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Percentage of theoretical compute performance.
getComputeEfficiency() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: Percentage of theoretical compute performance.
getComputeEfficiency() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: Percentage of theoretical compute performance.
getComputeLevel() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder: .tensorflow.data.CardinalityOptions.ComputeLevel compute_level = 1;
getComputeLevel() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions: .tensorflow.data.CardinalityOptions.ComputeLevel compute_level = 1;
getComputeLevel() - Method in interface org.tensorflow.proto.data.DatasetOptions.CardinalityOptionsOrBuilder: .tensorflow.data.CardinalityOptions.ComputeLevel compute_level = 1;
getComputeLevelValue() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder: .tensorflow.data.CardinalityOptions.ComputeLevel compute_level = 1;
getComputeLevelValue() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions: .tensorflow.data.CardinalityOptions.ComputeLevel compute_level = 1;
getComputeLevelValue() - Method in interface org.tensorflow.proto.data.DatasetOptions.CardinalityOptionsOrBuilder: .tensorflow.data.CardinalityOptions.ComputeLevel compute_level = 1;
getComputeTime() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Analytical estimate of the computational cost of this node, in microseconds.
getComputeTime() - Method in class org.tensorflow.proto.CostGraphDef.Node: Analytical estimate of the computational cost of this node, in microseconds.
getComputeTime() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: Analytical estimate of the computational cost of this node, in microseconds.
getComputeTime() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Analytical compute cost (in nanoseconds).
getComputeTime() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: Analytical compute cost (in nanoseconds).
getComputeTime() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: Analytical compute cost (in nanoseconds).
getConcreteFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder: Name of concrete function which contains the computed graph tensor.
getConcreteFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor: Name of concrete function which contains the computed graph tensor.
getConcreteFunction() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensorOrBuilder: Name of concrete function which contains the computed graph tensor.
getConcreteFunctionBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder: Name of concrete function which contains the computed graph tensor.
getConcreteFunctionBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor: Name of concrete function which contains the computed graph tensor.
getConcreteFunctionBytes() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensorOrBuilder: Name of concrete function which contains the computed graph tensor.
getConcreteFunctionName() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: Identifies a SavedConcreteFunction.
getConcreteFunctionName() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction: Identifies a SavedConcreteFunction.
getConcreteFunctionName() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunctionOrBuilder: Identifies a SavedConcreteFunction.
getConcreteFunctionNameBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: Identifies a SavedConcreteFunction.
getConcreteFunctionNameBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction: Identifies a SavedConcreteFunction.
getConcreteFunctionNameBytes() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunctionOrBuilder: Identifies a SavedConcreteFunction.
getConcreteFunctions() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Deprecated.
getConcreteFunctions() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph: Deprecated.
getConcreteFunctions() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraphOrBuilder: Deprecated.
getConcreteFunctions(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: repeated string concrete_functions = 1;
getConcreteFunctions(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction: repeated string concrete_functions = 1;
getConcreteFunctions(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunctionOrBuilder: repeated string concrete_functions = 1;
getConcreteFunctionsBytes(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: repeated string concrete_functions = 1;
getConcreteFunctionsBytes(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction: repeated string concrete_functions = 1;
getConcreteFunctionsBytes(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunctionOrBuilder: repeated string concrete_functions = 1;
getConcreteFunctionsCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: repeated string concrete_functions = 1;
getConcreteFunctionsCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction: repeated string concrete_functions = 1;
getConcreteFunctionsCount() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunctionOrBuilder: repeated string concrete_functions = 1;
getConcreteFunctionsCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
getConcreteFunctionsCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
getConcreteFunctionsCount() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraphOrBuilder: Information about captures and output structures in concrete functions.
getConcreteFunctionsList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: repeated string concrete_functions = 1;
getConcreteFunctionsList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction: repeated string concrete_functions = 1;
getConcreteFunctionsList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunctionOrBuilder: repeated string concrete_functions = 1;
getConcreteFunctionsMap() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
getConcreteFunctionsMap() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph: Information about captures and output structures in concrete functions.
getConcreteFunctionsMap() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraphOrBuilder: Information about captures and output structures in concrete functions.
getConcreteFunctionsOrDefault(String, SavedObjectGraphOuterClass.SavedConcreteFunction) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
getConcreteFunctionsOrDefault(String, SavedObjectGraphOuterClass.SavedConcreteFunction) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph: Information about captures and output structures in concrete functions.
getConcreteFunctionsOrDefault(String, SavedObjectGraphOuterClass.SavedConcreteFunction) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraphOrBuilder: Information about captures and output structures in concrete functions.
getConcreteFunctionsOrThrow(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
getConcreteFunctionsOrThrow(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph: Information about captures and output structures in concrete functions.
getConcreteFunctionsOrThrow(String) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraphOrBuilder: Information about captures and output structures in concrete functions.
getCondCtxt() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxt() - Method in class org.tensorflow.proto.ControlFlowContextDef: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxt() - Method in interface org.tensorflow.proto.ControlFlowContextDefOrBuilder: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxtBuilder() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxtOrBuilder() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxtOrBuilder() - Method in class org.tensorflow.proto.ControlFlowContextDef: .tensorflow.CondContextDef cond_ctxt = 1;
getCondCtxtOrBuilder() - Method in interface org.tensorflow.proto.ControlFlowContextDefOrBuilder: .tensorflow.CondContextDef cond_ctxt = 1;
getConfig() - Method in class org.tensorflow.framework.activations.AbstractActivation: Gets a configuration map
getConfig() - Method in class org.tensorflow.framework.activations.ELU: Gets a configuration map
getConfig() - Method in class org.tensorflow.framework.activations.Exponential: Gets a configuration map
getConfig() - Method in class org.tensorflow.framework.activations.GELU: Gets a configuration map with entries approximate and value set with GELU.approximate.
getConfig() - Method in class org.tensorflow.framework.activations.HardSigmoid: Gets a configuration map
getConfig() - Method in class org.tensorflow.framework.activations.Linear: Gets a configuration map
getConfig() - Method in class org.tensorflow.framework.activations.ReLU: Gets a configuration map with entries alpha and value set with ReLU.alpha.
getConfig() - Method in class org.tensorflow.framework.activations.SELU: Gets a configuration map
getConfig() - Method in class org.tensorflow.framework.activations.Sigmoid: Gets a configuration map
getConfig() - Method in class org.tensorflow.framework.activations.Softmax: Gets a configuration map with entries axis and value set with Softmax.axis.
getConfig() - Method in class org.tensorflow.framework.activations.Softplus: Gets a configuration map
getConfig() - Method in class org.tensorflow.framework.activations.Softsign: Gets a configuration map
getConfig() - Method in class org.tensorflow.framework.activations.Swish: Gets a configuration map
getConfig() - Method in class org.tensorflow.framework.activations.Tanh: Gets a configuration map
getConfigCase() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
getConfigCase() - Method in class org.tensorflow.proto.FeatureConfiguration
getConfigCase() - Method in interface org.tensorflow.proto.FeatureConfigurationOrBuilder
getConstant() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
getConstant() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedConstant constant = 9;
getConstant() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedConstant constant = 9;
getConstantBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
getConstantFolding() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFolding() - Method in class org.tensorflow.proto.RewriterConfig: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFolding() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFoldingValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFoldingValue() - Method in class org.tensorflow.proto.RewriterConfig: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantFoldingValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
getConstantOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
getConstantOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedConstant constant = 9;
getConstantOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedConstant constant = 9;
getConstNodeInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfo(int) - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoCount() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoCount() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoCount() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoList() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoList() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilder(int) - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstNodeInfoOrBuilderList() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
getConstraint(int) - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraint(int) - Method in class org.tensorflow.proto.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraint(int) - Method in interface org.tensorflow.proto.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintBuilder(int) - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintBuilderList() - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintCount() - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintCount() - Method in class org.tensorflow.proto.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintCount() - Method in interface org.tensorflow.proto.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintList() - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintList() - Method in class org.tensorflow.proto.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintList() - Method in interface org.tensorflow.proto.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilder(int) - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilder(int) - Method in class org.tensorflow.proto.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilder(int) - Method in interface org.tensorflow.proto.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilderList() - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilderList() - Method in class org.tensorflow.proto.KernelDef: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getConstraintOrBuilderList() - Method in interface org.tensorflow.proto.KernelDefOrBuilder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
getContainer() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Container in which this resource is placed.
getContainer() - Method in class org.tensorflow.proto.ResourceHandleProto: Container in which this resource is placed.
getContainer() - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: Container in which this resource is placed.
getContainerBytes() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Container in which this resource is placed.
getContainerBytes() - Method in class org.tensorflow.proto.ResourceHandleProto: Container in which this resource is placed.
getContainerBytes() - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: Container in which this resource is placed.
getContent() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder: The content to store for the plugin.
getContent() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData: The content to store for the plugin.
getContent() - Method in interface org.tensorflow.proto.SummaryMetadata.PluginDataOrBuilder: The content to store for the plugin.
getContentType() - Method in class org.tensorflow.proto.Summary.Audio.Builder: string content_type = 5;
getContentType() - Method in class org.tensorflow.proto.Summary.Audio: string content_type = 5;
getContentType() - Method in interface org.tensorflow.proto.Summary.AudioOrBuilder: string content_type = 5;
getContentTypeBytes() - Method in class org.tensorflow.proto.Summary.Audio.Builder: string content_type = 5;
getContentTypeBytes() - Method in class org.tensorflow.proto.Summary.Audio: string content_type = 5;
getContentTypeBytes() - Method in interface org.tensorflow.proto.Summary.AudioOrBuilder: string content_type = 5;
getContext() - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.Features context = 1;
getContext() - Method in class org.tensorflow.proto.SequenceExample: .tensorflow.Features context = 1;
getContext() - Method in interface org.tensorflow.proto.SequenceExampleOrBuilder: .tensorflow.Features context = 1;
getContextBuilder() - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.Features context = 1;
getContextName() - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the context.
getContextName() - Method in class org.tensorflow.proto.CondContextDef: Name of the context.
getContextName() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Name of the context.
getContextName() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the context.
getContextName() - Method in class org.tensorflow.proto.WhileContextDef: Name of the context.
getContextName() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Name of the context.
getContextNameBytes() - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the context.
getContextNameBytes() - Method in class org.tensorflow.proto.CondContextDef: Name of the context.
getContextNameBytes() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Name of the context.
getContextNameBytes() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the context.
getContextNameBytes() - Method in class org.tensorflow.proto.WhileContextDef: Name of the context.
getContextNameBytes() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Name of the context.
getContextOrBuilder() - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.Features context = 1;
getContextOrBuilder() - Method in class org.tensorflow.proto.SequenceExample: .tensorflow.Features context = 1;
getContextOrBuilder() - Method in interface org.tensorflow.proto.SequenceExampleOrBuilder: .tensorflow.Features context = 1;
getControlInput(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
getControlInput(int) - Method in class org.tensorflow.proto.CostGraphDef.Node: Ids of the control inputs for this node.
getControlInput(int) - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: Ids of the control inputs for this node.
getControlInputCount() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
getControlInputCount() - Method in class org.tensorflow.proto.CostGraphDef.Node: Ids of the control inputs for this node.
getControlInputCount() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: Ids of the control inputs for this node.
getControlInputList() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
getControlInputList() - Method in class org.tensorflow.proto.CostGraphDef.Node: Ids of the control inputs for this node.
getControlInputList() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: Ids of the control inputs for this node.
getControlOutput(int) - Method in class org.tensorflow.proto.OpDef.Builder: Named control outputs for this operation.
getControlOutput(int) - Method in class org.tensorflow.proto.OpDef: Named control outputs for this operation.
getControlOutput(int) - Method in interface org.tensorflow.proto.OpDefOrBuilder: Named control outputs for this operation.
getControlOutputBytes(int) - Method in class org.tensorflow.proto.OpDef.Builder: Named control outputs for this operation.
getControlOutputBytes(int) - Method in class org.tensorflow.proto.OpDef: Named control outputs for this operation.
getControlOutputBytes(int) - Method in interface org.tensorflow.proto.OpDefOrBuilder: Named control outputs for this operation.
getControlOutputCount() - Method in class org.tensorflow.proto.OpDef.Builder: Named control outputs for this operation.
getControlOutputCount() - Method in class org.tensorflow.proto.OpDef: Named control outputs for this operation.
getControlOutputCount() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Named control outputs for this operation.
getControlOutputList() - Method in class org.tensorflow.proto.OpDef.Builder: Named control outputs for this operation.
getControlOutputList() - Method in class org.tensorflow.proto.OpDef: Named control outputs for this operation.
getControlOutputList() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Named control outputs for this operation.
getControlRet() - Method in class org.tensorflow.proto.FunctionDef.Builder: Deprecated.
getControlRet() - Method in class org.tensorflow.proto.FunctionDef: Deprecated.
getControlRet() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Deprecated.
getControlRetCount() - Method in class org.tensorflow.proto.FunctionDef.Builder
getControlRetCount() - Method in class org.tensorflow.proto.FunctionDef
getControlRetCount() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetMap() - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetMap() - Method in class org.tensorflow.proto.FunctionDef: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetMap() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetOrDefault(String, String) - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetOrDefault(String, String) - Method in class org.tensorflow.proto.FunctionDef: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetOrDefault(String, String) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetOrThrow(String) - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetOrThrow(String) - Method in class org.tensorflow.proto.FunctionDef: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getControlRetOrThrow(String) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
getCoordinatedJobList(int) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobList(int) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobList(int) - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListBuilder(int) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListBuilderList() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListCount() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListCount() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListCount() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListList() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListList() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListList() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListOrBuilder(int) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListOrBuilder(int) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListOrBuilder(int) - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListOrBuilderList() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListOrBuilderList() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinatedJobListOrBuilderList() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
getCoordinationConfig() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Distributed coordination service configurations.
getCoordinationConfig() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Distributed coordination service configurations.
getCoordinationConfig() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Distributed coordination service configurations.
getCoordinationConfigBuilder() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Distributed coordination service configurations.
getCoordinationConfigOrBuilder() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Distributed coordination service configurations.
getCoordinationConfigOrBuilder() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Distributed coordination service configurations.
getCoordinationConfigOrBuilder() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Distributed coordination service configurations.
getCooSparse() - Method in class org.tensorflow.proto.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparse() - Method in class org.tensorflow.proto.TensorInfo: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparse() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparseBuilder() - Method in class org.tensorflow.proto.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparseOrBuilder() - Method in class org.tensorflow.proto.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparseOrBuilder() - Method in class org.tensorflow.proto.TensorInfo: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCooSparseOrBuilder() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
getCost() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder: Aggregated cost value.
getCost() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost: Aggregated cost value.
getCost() - Method in interface org.tensorflow.proto.CostGraphDef.AggregatedCostOrBuilder: Aggregated cost value.
getCost(int) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCost(int) - Method in class org.tensorflow.proto.CostGraphDef: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCost(int) - Method in interface org.tensorflow.proto.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostBuilderList() - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostCount() - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostCount() - Method in class org.tensorflow.proto.CostGraphDef: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostCount() - Method in interface org.tensorflow.proto.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostGraph() - Method in class org.tensorflow.proto.RunMetadata.Builder: The cost graph for the computation defined by the run call.
getCostGraph() - Method in class org.tensorflow.proto.RunMetadata: The cost graph for the computation defined by the run call.
getCostGraph() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: The cost graph for the computation defined by the run call.
getCostGraphBuilder() - Method in class org.tensorflow.proto.RunMetadata.Builder: The cost graph for the computation defined by the run call.
getCostGraphOrBuilder() - Method in class org.tensorflow.proto.RunMetadata.Builder: The cost graph for the computation defined by the run call.
getCostGraphOrBuilder() - Method in class org.tensorflow.proto.RunMetadata: The cost graph for the computation defined by the run call.
getCostGraphOrBuilder() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: The cost graph for the computation defined by the run call.
getCostList() - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostList() - Method in class org.tensorflow.proto.CostGraphDef: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostList() - Method in interface org.tensorflow.proto.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostOrBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostOrBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostOrBuilder(int) - Method in interface org.tensorflow.proto.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostOrBuilderList() - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostOrBuilderList() - Method in class org.tensorflow.proto.CostGraphDef: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCostOrBuilderList() - Method in interface org.tensorflow.proto.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
getCount() - Method in class org.tensorflow.framework.metrics.Accuracy: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.BinaryAccuracy: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.BinaryCrossentropy: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.CategoricalAccuracy: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.CategoricalCrossentropy: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.CategoricalHinge: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.CosineSimilarity: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.Hinge: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.KLDivergence: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.LogCoshError: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.Mean: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.MeanAbsoluteError: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.MeanRelativeError: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.MeanSquaredError: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.Poisson: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.RootMeanSquaredError: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.SquaredHinge: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.Sum: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Gets the count variable
getCount() - Method in class org.tensorflow.framework.metrics.MeanTensor
getCpuBudget() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: int32 cpu_budget = 2;
getCpuBudget() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions: int32 cpu_budget = 2;
getCpuBudget() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder: int32 cpu_budget = 2;
getCpuBudget() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Number of available logical threads.
getCpuBudget() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams: Number of available logical threads.
getCpuBudget() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParamsOrBuilder: Number of available logical threads.
getCpuGlobalJit() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: CPU code will be autoclustered only if global_jit_level >= ON_1 and either: - this flag is true, or - TF_XLA_FLAGS contains --tf_xla_cpu_global_jit=true.
getCpuGlobalJit() - Method in class org.tensorflow.proto.OptimizerOptions: CPU code will be autoclustered only if global_jit_level >= ON_1 and either: - this flag is true, or - TF_XLA_FLAGS contains --tf_xla_cpu_global_jit=true.
getCpuGlobalJit() - Method in interface org.tensorflow.proto.OptimizerOptionsOrBuilder: CPU code will be autoclustered only if global_jit_level >= ON_1 and either: - this flag is true, or - TF_XLA_FLAGS contains --tf_xla_cpu_global_jit=true.
getCpuGovernor() - Method in class org.tensorflow.proto.CPUInfo.Builder: What kind of cpu scaling is enabled on the host.
getCpuGovernor() - Method in class org.tensorflow.proto.CPUInfo: What kind of cpu scaling is enabled on the host.
getCpuGovernor() - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: What kind of cpu scaling is enabled on the host.
getCpuGovernorBytes() - Method in class org.tensorflow.proto.CPUInfo.Builder: What kind of cpu scaling is enabled on the host.
getCpuGovernorBytes() - Method in class org.tensorflow.proto.CPUInfo: What kind of cpu scaling is enabled on the host.
getCpuGovernorBytes() - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: What kind of cpu scaling is enabled on the host.
getCpuInfo() - Method in class org.tensorflow.proto.CPUInfo.Builder: Additional cpu information.
getCpuInfo() - Method in class org.tensorflow.proto.CPUInfo: Additional cpu information.
getCpuInfo() - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: Additional cpu information.
getCpuInfo() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: CPU Information.
getCpuInfo() - Method in class org.tensorflow.proto.MachineConfiguration: CPU Information.
getCpuInfo() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: CPU Information.
getCpuInfoBuilder() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: CPU Information.
getCpuInfoBytes() - Method in class org.tensorflow.proto.CPUInfo.Builder: Additional cpu information.
getCpuInfoBytes() - Method in class org.tensorflow.proto.CPUInfo: Additional cpu information.
getCpuInfoBytes() - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: Additional cpu information.
getCpuInfoOrBuilder() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: CPU Information.
getCpuInfoOrBuilder() - Method in class org.tensorflow.proto.MachineConfiguration: CPU Information.
getCpuInfoOrBuilder() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: CPU Information.
getCpuLayoutConversion() - Method in class org.tensorflow.proto.RewriterConfig.Builder: CPU Conversion settings between NHCW and NCHW.
getCpuLayoutConversion() - Method in class org.tensorflow.proto.RewriterConfig: CPU Conversion settings between NHCW and NCHW.
getCpuLayoutConversion() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: CPU Conversion settings between NHCW and NCHW.
getCpuLayoutConversionValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: CPU Conversion settings between NHCW and NCHW.
getCpuLayoutConversionValue() - Method in class org.tensorflow.proto.RewriterConfig: CPU Conversion settings between NHCW and NCHW.
getCpuLayoutConversionValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: CPU Conversion settings between NHCW and NCHW.
getCpuTime() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Total cpu time used for all iterations (in seconds)
getCpuTime() - Method in class org.tensorflow.proto.BenchmarkEntry: Total cpu time used for all iterations (in seconds)
getCpuTime() - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Total cpu time used for all iterations (in seconds)
getCrc32C() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: The CRC32C checksum of the tensor bytes.
getCrc32C() - Method in class org.tensorflow.proto.BundleEntryProto: The CRC32C checksum of the tensor bytes.
getCrc32C() - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: The CRC32C checksum of the tensor bytes.
getCreationTimestamp() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Time when we started creating this snapshot.
getCreationTimestamp() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: Time when we started creating this snapshot.
getCreationTimestamp() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: Time when we started creating this snapshot.
getCrossTrainerCacheSizeBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Maximum size of the cross-trainer cache in bytes.
getCrossTrainerCacheSizeBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: Maximum size of the cross-trainer cache in bytes.
getCrossTrainerCacheSizeBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: Maximum size of the cross-trainer cache in bytes.
getCtxtCase() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
getCtxtCase() - Method in class org.tensorflow.proto.ControlFlowContextDef
getCtxtCase() - Method in interface org.tensorflow.proto.ControlFlowContextDefOrBuilder
getCurrentWork() - Method in class org.tensorflow.proto.ReaderBaseState.Builder: bytes current_work = 4;
getCurrentWork() - Method in class org.tensorflow.proto.ReaderBaseState: bytes current_work = 4;
getCurrentWork() - Method in interface org.tensorflow.proto.ReaderBaseStateOrBuilder: bytes current_work = 4;
getCurve() - Method in class org.tensorflow.framework.metrics.AUC
getCustomOptimizers(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizers(int) - Method in class org.tensorflow.proto.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizers(int) - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getCustomOptimizersBuilder(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersBuilderList() - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersCount() - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersCount() - Method in class org.tensorflow.proto.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizersCount() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getCustomOptimizersList() - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersList() - Method in class org.tensorflow.proto.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizersList() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilder(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilder(int) - Method in class org.tensorflow.proto.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilder(int) - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilderList() - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilderList() - Method in class org.tensorflow.proto.RewriterConfig: list of CustomGraphOptimizers to apply.
getCustomOptimizersOrBuilderList() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: list of CustomGraphOptimizers to apply.
getData() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Compressed tensor bytes for all components of the element.
getData() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement: Compressed tensor bytes for all components of the element.
getData() - Method in interface org.tensorflow.proto.data.Dataset.CompressedElementOrBuilder: Compressed tensor bytes for all components of the element.
getData() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: bytes data = 4;
getData() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo: bytes data = 4;
getData() - Method in interface org.tensorflow.proto.GraphTransferConstNodeInfoOrBuilder: bytes data = 4;
getData() - Method in class org.tensorflow.proto.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
getData() - Method in class org.tensorflow.proto.SavedSlice: The raw data of the slice is stored as a TensorProto.
getData() - Method in interface org.tensorflow.proto.SavedSliceOrBuilder: The raw data of the slice is stored as a TensorProto.
getData() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
getData() - Method in class org.tensorflow.proto.SavedTensorSlices: This exists in all but the first item of each checkpoint file.
getData() - Method in interface org.tensorflow.proto.SavedTensorSlicesOrBuilder: This exists in all but the first item of each checkpoint file.
getDataBuilder() - Method in class org.tensorflow.proto.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
getDataBuilder() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
getDataCase() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
getDataCase() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
getDataCase() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventOrBuilder
getDataClass() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Class of data stored in this time series.
getDataClass() - Method in class org.tensorflow.proto.SummaryMetadata: Class of data stored in this time series.
getDataClass() - Method in interface org.tensorflow.proto.SummaryMetadataOrBuilder: Class of data stored in this time series.
getDataClassValue() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Class of data stored in this time series.
getDataClassValue() - Method in class org.tensorflow.proto.SummaryMetadata: Class of data stored in this time series.
getDataClassValue() - Method in interface org.tensorflow.proto.SummaryMetadataOrBuilder: Class of data stored in this time series.
getDataOrBuilder() - Method in class org.tensorflow.proto.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
getDataOrBuilder() - Method in class org.tensorflow.proto.SavedSlice: The raw data of the slice is stored as a TensorProto.
getDataOrBuilder() - Method in interface org.tensorflow.proto.SavedSliceOrBuilder: The raw data of the slice is stored as a TensorProto.
getDataOrBuilder() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
getDataOrBuilder() - Method in class org.tensorflow.proto.SavedTensorSlices: This exists in all but the first item of each checkpoint file.
getDataOrBuilder() - Method in interface org.tensorflow.proto.SavedTensorSlicesOrBuilder: This exists in all but the first item of each checkpoint file.
getDatasetName() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: string dataset_name = 10;
getDatasetName() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: string dataset_name = 10;
getDatasetName() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: string dataset_name = 10;
getDatasetName() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: User-defined name for the dataset.
getDatasetName() - Method in class org.tensorflow.proto.data.model.Model.ModelProto: User-defined name for the dataset.
getDatasetName() - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: User-defined name for the dataset.
getDatasetNameBytes() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: string dataset_name = 10;
getDatasetNameBytes() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: string dataset_name = 10;
getDatasetNameBytes() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: string dataset_name = 10;
getDatasetNameBytes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: User-defined name for the dataset.
getDatasetNameBytes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto: User-defined name for the dataset.
getDatasetNameBytes() - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: User-defined name for the dataset.
getDataTransferAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If `data_transfer_protocol` is set, the address of the data transfer server.
getDataTransferAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: If `data_transfer_protocol` is set, the address of the data transfer server.
getDataTransferAddress() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: If `data_transfer_protocol` is set, the address of the data transfer server.
getDataTransferAddressBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If `data_transfer_protocol` is set, the address of the data transfer server.
getDataTransferAddressBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: If `data_transfer_protocol` is set, the address of the data transfer server.
getDataTransferAddressBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: If `data_transfer_protocol` is set, the address of the data transfer server.
getDataTransferPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If `data_transfer_protocol` is set, the port to which the data transfer server binds.
getDataTransferPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: If `data_transfer_protocol` is set, the port to which the data transfer server binds.
getDataTransferPort() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: If `data_transfer_protocol` is set, the port to which the data transfer server binds.
getDataTransferProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If set, the name of an alternative data transfer protocol for which the worker starts an additional server ("data transfer server"); the trainer can then get data from this server.
getDataTransferProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: If set, the name of an alternative data transfer protocol for which the worker starts an additional server ("data transfer server"); the trainer can then get data from this server.
getDataTransferProtocol() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: If set, the name of an alternative data transfer protocol for which the worker starts an additional server ("data transfer server"); the trainer can then get data from this server.
getDataTransferProtocolBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If set, the name of an alternative data transfer protocol for which the worker starts an additional server ("data transfer server"); the trainer can then get data from this server.
getDataTransferProtocolBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: If set, the name of an alternative data transfer protocol for which the worker starts an additional server ("data transfer server"); the trainer can then get data from this server.
getDataTransferProtocolBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: If set, the name of an alternative data transfer protocol for which the worker starts an additional server ("data transfer server"); the trainer can then get data from this server.
getDatatype() - Method in class org.tensorflow.proto.SerializedDType.Builder: .tensorflow.DataType datatype = 1;
getDatatype() - Method in class org.tensorflow.proto.SerializedDType: .tensorflow.DataType datatype = 1;
getDatatype() - Method in interface org.tensorflow.proto.SerializedDTypeOrBuilder: .tensorflow.DataType datatype = 1;
getDatatypeValue() - Method in class org.tensorflow.proto.SerializedDType.Builder: .tensorflow.DataType datatype = 1;
getDatatypeValue() - Method in class org.tensorflow.proto.SerializedDType: .tensorflow.DataType datatype = 1;
getDatatypeValue() - Method in interface org.tensorflow.proto.SerializedDTypeOrBuilder: .tensorflow.DataType datatype = 1;
getDcomplexVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexVal(int) - Method in class org.tensorflow.proto.TensorProto: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexVal(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexValCount() - Method in class org.tensorflow.proto.TensorProto: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexValList() - Method in class org.tensorflow.proto.TensorProto: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDcomplexValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
getDebuggedDevice() - Method in class org.tensorflow.proto.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedDevice() - Method in class org.tensorflow.proto.DebugEvent: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedDevice() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedDeviceBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedDeviceOrBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedDeviceOrBuilder() - Method in class org.tensorflow.proto.DebugEvent: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedDeviceOrBuilder() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: A device on which debugger-instrumented ops and/or tensors reside.
getDebuggedGraph() - Method in class org.tensorflow.proto.DebugEvent.Builder: Information about a debugged graph.
getDebuggedGraph() - Method in class org.tensorflow.proto.DebugEvent: Information about a debugged graph.
getDebuggedGraph() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: Information about a debugged graph.
getDebuggedGraphBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: Information about a debugged graph.
getDebuggedGraphOrBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: Information about a debugged graph.
getDebuggedGraphOrBuilder() - Method in class org.tensorflow.proto.DebugEvent: Information about a debugged graph.
getDebuggedGraphOrBuilder() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: Information about a debugged graph.
getDebugInfo() - Method in class org.tensorflow.proto.GraphDef.Builder: Stack traces for the nodes in this graph.
getDebugInfo() - Method in class org.tensorflow.proto.GraphDef: Stack traces for the nodes in this graph.
getDebugInfo() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: Stack traces for the nodes in this graph.
getDebugInfoBuilder() - Method in class org.tensorflow.proto.GraphDef.Builder: Stack traces for the nodes in this graph.
getDebugInfoOrBuilder() - Method in class org.tensorflow.proto.GraphDef.Builder: Stack traces for the nodes in this graph.
getDebugInfoOrBuilder() - Method in class org.tensorflow.proto.GraphDef: Stack traces for the nodes in this graph.
getDebugInfoOrBuilder() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: Stack traces for the nodes in this graph.
getDebugMetadata() - Method in class org.tensorflow.proto.DebugEvent.Builder: Metadata related to this debugging data.
getDebugMetadata() - Method in class org.tensorflow.proto.DebugEvent: Metadata related to this debugging data.
getDebugMetadata() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: Metadata related to this debugging data.
getDebugMetadataBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: Metadata related to this debugging data.
getDebugMetadataOrBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: Metadata related to this debugging data.
getDebugMetadataOrBuilder() - Method in class org.tensorflow.proto.DebugEvent: Metadata related to this debugging data.
getDebugMetadataOrBuilder() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: Metadata related to this debugging data.
getDebugOps(int) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
getDebugOps(int) - Method in class org.tensorflow.proto.DebugTensorWatch: Name(s) of the debugging op(s).
getDebugOps(int) - Method in interface org.tensorflow.proto.DebugTensorWatchOrBuilder: Name(s) of the debugging op(s).
getDebugOpsBytes(int) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
getDebugOpsBytes(int) - Method in class org.tensorflow.proto.DebugTensorWatch: Name(s) of the debugging op(s).
getDebugOpsBytes(int) - Method in interface org.tensorflow.proto.DebugTensorWatchOrBuilder: Name(s) of the debugging op(s).
getDebugOpsCount() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
getDebugOpsCount() - Method in class org.tensorflow.proto.DebugTensorWatch: Name(s) of the debugging op(s).
getDebugOpsCount() - Method in interface org.tensorflow.proto.DebugTensorWatchOrBuilder: Name(s) of the debugging op(s).
getDebugOpsList() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
getDebugOpsList() - Method in class org.tensorflow.proto.DebugTensorWatch: Name(s) of the debugging op(s).
getDebugOpsList() - Method in interface org.tensorflow.proto.DebugTensorWatchOrBuilder: Name(s) of the debugging op(s).
getDebugOptions() - Method in class org.tensorflow.proto.RunOptions.Builder: EXPERIMENTAL.
getDebugOptions() - Method in class org.tensorflow.proto.RunOptions: EXPERIMENTAL.
getDebugOptions() - Method in interface org.tensorflow.proto.RunOptionsOrBuilder: EXPERIMENTAL.
getDebugOptionsBuilder() - Method in class org.tensorflow.proto.RunOptions.Builder: EXPERIMENTAL.
getDebugOptionsOrBuilder() - Method in class org.tensorflow.proto.RunOptions.Builder: EXPERIMENTAL.
getDebugOptionsOrBuilder() - Method in class org.tensorflow.proto.RunOptions: EXPERIMENTAL.
getDebugOptionsOrBuilder() - Method in interface org.tensorflow.proto.RunOptionsOrBuilder: EXPERIMENTAL.
getDebugStripper() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
getDebugStripper() - Method in class org.tensorflow.proto.RewriterConfig: Strips debug-related nodes from the graph (off by default).
getDebugStripper() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Strips debug-related nodes from the graph (off by default).
getDebugStripperValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
getDebugStripperValue() - Method in class org.tensorflow.proto.RewriterConfig: Strips debug-related nodes from the graph (off by default).
getDebugStripperValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Strips debug-related nodes from the graph (off by default).
getDebugTensorWatchOpts(int) - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
getDebugTensorWatchOpts(int) - Method in class org.tensorflow.proto.DebugOptions: Debugging options
getDebugTensorWatchOpts(int) - Method in interface org.tensorflow.proto.DebugOptionsOrBuilder: Debugging options
getDebugTensorWatchOptsBuilder(int) - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
getDebugTensorWatchOptsBuilderList() - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
getDebugTensorWatchOptsCount() - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
getDebugTensorWatchOptsCount() - Method in class org.tensorflow.proto.DebugOptions: Debugging options
getDebugTensorWatchOptsCount() - Method in interface org.tensorflow.proto.DebugOptionsOrBuilder: Debugging options
getDebugTensorWatchOptsList() - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
getDebugTensorWatchOptsList() - Method in class org.tensorflow.proto.DebugOptions: Debugging options
getDebugTensorWatchOptsList() - Method in interface org.tensorflow.proto.DebugOptionsOrBuilder: Debugging options
getDebugTensorWatchOptsOrBuilder(int) - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
getDebugTensorWatchOptsOrBuilder(int) - Method in class org.tensorflow.proto.DebugOptions: Debugging options
getDebugTensorWatchOptsOrBuilder(int) - Method in interface org.tensorflow.proto.DebugOptionsOrBuilder: Debugging options
getDebugTensorWatchOptsOrBuilderList() - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
getDebugTensorWatchOptsOrBuilderList() - Method in class org.tensorflow.proto.DebugOptions: Debugging options
getDebugTensorWatchOptsOrBuilderList() - Method in interface org.tensorflow.proto.DebugOptionsOrBuilder: Debugging options
getDebugUrls(int) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: URL(s) for debug targets(s).
getDebugUrls(int) - Method in class org.tensorflow.proto.DebugTensorWatch: URL(s) for debug targets(s).
getDebugUrls(int) - Method in interface org.tensorflow.proto.DebugTensorWatchOrBuilder: URL(s) for debug targets(s).
getDebugUrlsBytes(int) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: URL(s) for debug targets(s).
getDebugUrlsBytes(int) - Method in class org.tensorflow.proto.DebugTensorWatch: URL(s) for debug targets(s).
getDebugUrlsBytes(int) - Method in interface org.tensorflow.proto.DebugTensorWatchOrBuilder: URL(s) for debug targets(s).
getDebugUrlsCount() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: URL(s) for debug targets(s).
getDebugUrlsCount() - Method in class org.tensorflow.proto.DebugTensorWatch: URL(s) for debug targets(s).
getDebugUrlsCount() - Method in interface org.tensorflow.proto.DebugTensorWatchOrBuilder: URL(s) for debug targets(s).
getDebugUrlsList() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: URL(s) for debug targets(s).
getDebugUrlsList() - Method in class org.tensorflow.proto.DebugTensorWatch: URL(s) for debug targets(s).
getDebugUrlsList() - Method in interface org.tensorflow.proto.DebugTensorWatchOrBuilder: URL(s) for debug targets(s).
getDefault() - Static method in class org.tensorflow.EagerSession: Returns the default eager session
getDefaultConfig(String) - Method in class org.tensorflow.framework.activations.AbstractActivation: Gets a configuration map, this default implementation returns a singleton Map, with AbstractActivation.NAME_KEY as the key, and the name parameter as its value;
getDefaultInstance() - Static method in class org.tensorflow.proto.AllocationDescription
getDefaultInstance() - Static method in class org.tensorflow.proto.AllocationRecord
getDefaultInstance() - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
getDefaultInstance() - Static method in class org.tensorflow.proto.ApiDef.Arg
getDefaultInstance() - Static method in class org.tensorflow.proto.ApiDef.Attr
getDefaultInstance() - Static method in class org.tensorflow.proto.ApiDef.Endpoint
getDefaultInstance() - Static method in class org.tensorflow.proto.ApiDef
getDefaultInstance() - Static method in class org.tensorflow.proto.ApiDefs
getDefaultInstance() - Static method in class org.tensorflow.proto.AssetFileDef
getDefaultInstance() - Static method in class org.tensorflow.proto.AttrValue
getDefaultInstance() - Static method in class org.tensorflow.proto.AttrValue.ListValue
getDefaultInstance() - Static method in class org.tensorflow.proto.AutoParallelOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.AvailableDeviceInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.BenchmarkEntries
getDefaultInstance() - Static method in class org.tensorflow.proto.BenchmarkEntry
getDefaultInstance() - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
getDefaultInstance() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
getDefaultInstance() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
getDefaultInstance() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
getDefaultInstance() - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
getDefaultInstance() - Static method in class org.tensorflow.proto.BuildConfiguration
getDefaultInstance() - Static method in class org.tensorflow.proto.BundleEntryProto
getDefaultInstance() - Static method in class org.tensorflow.proto.BundleHeaderProto
getDefaultInstance() - Static method in class org.tensorflow.proto.BytesList
getDefaultInstance() - Static method in class org.tensorflow.proto.CallableOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.ClusterDef
getDefaultInstance() - Static method in class org.tensorflow.proto.ClusterDeviceFilters
getDefaultInstance() - Static method in class org.tensorflow.proto.CodeLocation
getDefaultInstance() - Static method in class org.tensorflow.proto.CollectionDef.AnyList
getDefaultInstance() - Static method in class org.tensorflow.proto.CollectionDef.BytesList
getDefaultInstance() - Static method in class org.tensorflow.proto.CollectionDef.FloatList
getDefaultInstance() - Static method in class org.tensorflow.proto.CollectionDef
getDefaultInstance() - Static method in class org.tensorflow.proto.CollectionDef.Int64List
getDefaultInstance() - Static method in class org.tensorflow.proto.CollectionDef.NodeList
getDefaultInstance() - Static method in class org.tensorflow.proto.CommitId
getDefaultInstance() - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.CondContextDef
getDefaultInstance() - Static method in class org.tensorflow.proto.ConfigProto.Experimental
getDefaultInstance() - Static method in class org.tensorflow.proto.ConfigProto
getDefaultInstance() - Static method in class org.tensorflow.proto.ControlFlowContextDef
getDefaultInstance() - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
getDefaultInstance() - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
getDefaultInstance() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
getDefaultInstance() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
getDefaultInstance() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
getDefaultInstance() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
getDefaultInstance() - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
getDefaultInstance() - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
getDefaultInstance() - Static method in class org.tensorflow.proto.CostGraphDef
getDefaultInstance() - Static method in class org.tensorflow.proto.CostGraphDef.Node
getDefaultInstance() - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.CPUInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
getDefaultInstance() - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
getDefaultInstance() - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
getDefaultInstance() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
getDefaultInstance() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
getDefaultInstance() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
getDefaultInstance() - Static method in class org.tensorflow.proto.DebugEvent
getDefaultInstance() - Static method in class org.tensorflow.proto.DebuggedDevice
getDefaultInstance() - Static method in class org.tensorflow.proto.DebuggedGraph
getDefaultInstance() - Static method in class org.tensorflow.proto.DebuggedSourceFile
getDefaultInstance() - Static method in class org.tensorflow.proto.DebuggedSourceFiles
getDefaultInstance() - Static method in class org.tensorflow.proto.DebugMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.DebugOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.DebugTensorWatch
getDefaultInstance() - Static method in class org.tensorflow.proto.DeviceAttributes
getDefaultInstance() - Static method in class org.tensorflow.proto.DeviceLocality
getDefaultInstance() - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
getDefaultInstance() - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
getDefaultInstance() - Static method in class org.tensorflow.proto.DeviceStepStats
getDefaultInstance() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
getDefaultInstance() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
getDefaultInstance() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
getDefaultInstance() - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
getDefaultInstance() - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
getDefaultInstance() - Static method in class org.tensorflow.proto.EntryValue
getDefaultInstance() - Static method in class org.tensorflow.proto.Event
getDefaultInstance() - Static method in class org.tensorflow.proto.Example
getDefaultInstance() - Static method in class org.tensorflow.proto.ExampleParserConfiguration
getDefaultInstance() - Static method in class org.tensorflow.proto.Execution
getDefaultInstance() - Static method in class org.tensorflow.proto.Feature
getDefaultInstance() - Static method in class org.tensorflow.proto.FeatureConfiguration
getDefaultInstance() - Static method in class org.tensorflow.proto.FeatureList
getDefaultInstance() - Static method in class org.tensorflow.proto.FeatureLists
getDefaultInstance() - Static method in class org.tensorflow.proto.Features
getDefaultInstance() - Static method in class org.tensorflow.proto.FingerprintDef
getDefaultInstance() - Static method in class org.tensorflow.proto.FixedLenFeatureProto
getDefaultInstance() - Static method in class org.tensorflow.proto.FloatList
getDefaultInstance() - Static method in class org.tensorflow.proto.FullTypeDef
getDefaultInstance() - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
getDefaultInstance() - Static method in class org.tensorflow.proto.FunctionDef
getDefaultInstance() - Static method in class org.tensorflow.proto.FunctionDefLibrary
getDefaultInstance() - Static method in class org.tensorflow.proto.GPUInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.GPUOptions.Experimental
getDefaultInstance() - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
getDefaultInstance() - Static method in class org.tensorflow.proto.GPUOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.GradientDef
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphDebugInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphDef
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphExecutionTrace
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphOpCreation
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphTransferInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphTransferNodeInput
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.HistogramProto
getDefaultInstance() - Static method in class org.tensorflow.proto.Int64List
getDefaultInstance() - Static method in class org.tensorflow.proto.InterconnectLink
getDefaultInstance() - Static method in class org.tensorflow.proto.JobDef
getDefaultInstance() - Static method in class org.tensorflow.proto.JobDeviceFilters
getDefaultInstance() - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
getDefaultInstance() - Static method in class org.tensorflow.proto.KernelDef
getDefaultInstance() - Static method in class org.tensorflow.proto.KernelList
getDefaultInstance() - Static method in class org.tensorflow.proto.LocalLinks
getDefaultInstance() - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
getDefaultInstance() - Static method in class org.tensorflow.proto.MachineConfiguration
getDefaultInstance() - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
getDefaultInstance() - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
getDefaultInstance() - Static method in class org.tensorflow.proto.MemoryInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
getDefaultInstance() - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
getDefaultInstance() - Static method in class org.tensorflow.proto.MemoryLogStep
getDefaultInstance() - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
getDefaultInstance() - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
getDefaultInstance() - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
getDefaultInstance() - Static method in class org.tensorflow.proto.MemoryStats
getDefaultInstance() - Static method in class org.tensorflow.proto.MetaGraphDef
getDefaultInstance() - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
getDefaultInstance() - Static method in class org.tensorflow.proto.MetricEntry
getDefaultInstance() - Static method in class org.tensorflow.proto.NameAttrList
getDefaultInstance() - Static method in class org.tensorflow.proto.NamedTensorProto
getDefaultInstance() - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.NodeDef
getDefaultInstance() - Static method in class org.tensorflow.proto.NodeExecStats
getDefaultInstance() - Static method in class org.tensorflow.proto.NodeOutput
getDefaultInstance() - Static method in class org.tensorflow.proto.OpDef.ArgDef
getDefaultInstance() - Static method in class org.tensorflow.proto.OpDef.AttrDef
getDefaultInstance() - Static method in class org.tensorflow.proto.OpDef
getDefaultInstance() - Static method in class org.tensorflow.proto.OpDeprecation
getDefaultInstance() - Static method in class org.tensorflow.proto.OpList
getDefaultInstance() - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
getDefaultInstance() - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
getDefaultInstance() - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
getDefaultInstance() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
getDefaultInstance() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
getDefaultInstance() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
getDefaultInstance() - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
getDefaultInstance() - Static method in class org.tensorflow.proto.OptimizerOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.PlatformInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
getDefaultInstance() - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.QueueRunnerDef
getDefaultInstance() - Static method in class org.tensorflow.proto.ReaderBaseState
getDefaultInstance() - Static method in class org.tensorflow.proto.RegisteredGradient
getDefaultInstance() - Static method in class org.tensorflow.proto.RequestedExitCode
getDefaultInstance() - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
getDefaultInstance() - Static method in class org.tensorflow.proto.ResourceHandleProto
getDefaultInstance() - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
getDefaultInstance() - Static method in class org.tensorflow.proto.RewriterConfig
getDefaultInstance() - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.RunConfiguration
getDefaultInstance() - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
getDefaultInstance() - Static method in class org.tensorflow.proto.RunMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.RunOptions.Experimental
getDefaultInstance() - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.RunOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedModel
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedSlice
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedSliceMeta
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
getDefaultInstance() - Static method in class org.tensorflow.proto.SavedTensorSlices
getDefaultInstance() - Static method in class org.tensorflow.proto.SaverDef
getDefaultInstance() - Static method in class org.tensorflow.proto.SaveSliceInfoDef
getDefaultInstance() - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
getDefaultInstance() - Static method in class org.tensorflow.proto.SequenceExample
getDefaultInstance() - Static method in class org.tensorflow.proto.SerializedDType
getDefaultInstance() - Static method in class org.tensorflow.proto.ServerDef
getDefaultInstance() - Static method in class org.tensorflow.proto.SessionLog
getDefaultInstance() - Static method in class org.tensorflow.proto.SessionMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.SignatureDef
getDefaultInstance() - Static method in class org.tensorflow.proto.SourceFile
getDefaultInstance() - Static method in class org.tensorflow.proto.SourceMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.StackFrameWithId
getDefaultInstance() - Static method in class org.tensorflow.proto.StatusProto
getDefaultInstance() - Static method in class org.tensorflow.proto.StepStats
getDefaultInstance() - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
getDefaultInstance() - Static method in class org.tensorflow.proto.Struct.DictValue
getDefaultInstance() - Static method in class org.tensorflow.proto.Struct.ListValue
getDefaultInstance() - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
getDefaultInstance() - Static method in class org.tensorflow.proto.Struct.NoneValue
getDefaultInstance() - Static method in class org.tensorflow.proto.Struct.PairValue
getDefaultInstance() - Static method in class org.tensorflow.proto.Struct.StructuredValue
getDefaultInstance() - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
getDefaultInstance() - Static method in class org.tensorflow.proto.Struct.TupleValue
getDefaultInstance() - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
getDefaultInstance() - Static method in class org.tensorflow.proto.Summary.Audio
getDefaultInstance() - Static method in class org.tensorflow.proto.Summary
getDefaultInstance() - Static method in class org.tensorflow.proto.Summary.Image
getDefaultInstance() - Static method in class org.tensorflow.proto.Summary.Value
getDefaultInstance() - Static method in class org.tensorflow.proto.SummaryDescription
getDefaultInstance() - Static method in class org.tensorflow.proto.SummaryMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
getDefaultInstance() - Static method in class org.tensorflow.proto.TaggedRunMetadata
getDefaultInstance() - Static method in class org.tensorflow.proto.TaskDeviceFilters
getDefaultInstance() - Static method in class org.tensorflow.proto.TensorConnection
getDefaultInstance() - Static method in class org.tensorflow.proto.TensorDescription
getDefaultInstance() - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
getDefaultInstance() - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
getDefaultInstance() - Static method in class org.tensorflow.proto.TensorInfo
getDefaultInstance() - Static method in class org.tensorflow.proto.TensorProto
getDefaultInstance() - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
getDefaultInstance() - Static method in class org.tensorflow.proto.TensorShapeProto
getDefaultInstance() - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
getDefaultInstance() - Static method in class org.tensorflow.proto.TensorSliceProto
getDefaultInstance() - Static method in class org.tensorflow.proto.TestResults
getDefaultInstance() - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
getDefaultInstance() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
getDefaultInstance() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
getDefaultInstance() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
getDefaultInstance() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
getDefaultInstance() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
getDefaultInstance() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
getDefaultInstance() - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
getDefaultInstance() - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
getDefaultInstance() - Static method in class org.tensorflow.proto.ValuesDef
getDefaultInstance() - Static method in class org.tensorflow.proto.VariableDef
getDefaultInstance() - Static method in class org.tensorflow.proto.VariantTensorDataProto
getDefaultInstance() - Static method in class org.tensorflow.proto.VarLenFeatureProto
getDefaultInstance() - Static method in class org.tensorflow.proto.VerifierConfig
getDefaultInstance() - Static method in class org.tensorflow.proto.VersionDef
getDefaultInstance() - Static method in class org.tensorflow.proto.WatchdogConfig
getDefaultInstance() - Static method in class org.tensorflow.proto.WhileContextDef
getDefaultInstance() - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
getDefaultInstance() - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AllocationDescription.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AllocationDescription
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AllocationRecord.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AllocationRecord
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AllocatorMemoryUsed
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ApiDef.Arg
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ApiDef.Attr
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ApiDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ApiDef.Endpoint
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ApiDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ApiDefs.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ApiDefs
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AssetFileDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AssetFileDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AttrValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AttrValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AttrValue.ListValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AutoParallelOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.AvailableDeviceInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BenchmarkEntries
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BenchmarkEntry
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BuildConfiguration.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BuildConfiguration
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BundleEntryProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BundleEntryProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BundleHeaderProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BytesList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.BytesList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CallableOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CallableOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ClusterDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ClusterDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ClusterDeviceFilters
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CodeLocation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CodeLocation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CollectionDef.AnyList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CollectionDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CollectionDef.BytesList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CollectionDef.FloatList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CollectionDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CollectionDef.Int64List
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CollectionDef.NodeList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CommitId.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CommitId
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CondContextDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CondContextDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ConfigProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ConfigProto.Experimental
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ConfigProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ControlFlowContextDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
getDefaultInstanceForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
getDefaultInstanceForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
getDefaultInstanceForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
getDefaultInstanceForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
getDefaultInstanceForType() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CostGraphDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CostGraphDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CostGraphDef.Node
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CPUInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.CPUInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebugEvent.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebugEvent
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebuggedDevice.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebuggedDevice
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebuggedGraph.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebuggedGraph
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebuggedSourceFile
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebuggedSourceFiles
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebugMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebugMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebugOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebugOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DebugTensorWatch
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DeviceAttributes.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DeviceAttributes
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DeviceLocality.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DeviceLocality
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DeviceStepStats.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.DeviceStepStats
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
getDefaultInstanceForType() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
getDefaultInstanceForType() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
getDefaultInstanceForType() - Method in class org.tensorflow.proto.EntryValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.EntryValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Event.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Event
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Example.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Example
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ExampleParserConfiguration
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Execution.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Execution
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Feature.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Feature
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FeatureConfiguration
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FeatureList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FeatureList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FeatureLists.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FeatureLists
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Features.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Features
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FingerprintDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FingerprintDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FixedLenFeatureProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FloatList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FloatList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FullTypeDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FullTypeDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FunctionDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FunctionDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.FunctionDefLibrary
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GPUInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GPUInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GPUOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GPUOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GradientDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GradientDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphDebugInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphExecutionTrace
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphOpCreation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphOpCreation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferNodeInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferNodeInput
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.HistogramProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.HistogramProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Int64List.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Int64List
getDefaultInstanceForType() - Method in class org.tensorflow.proto.InterconnectLink.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.InterconnectLink
getDefaultInstanceForType() - Method in class org.tensorflow.proto.JobDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.JobDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.JobDeviceFilters
getDefaultInstanceForType() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
getDefaultInstanceForType() - Method in class org.tensorflow.proto.KernelDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.KernelDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.KernelList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.KernelList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.LocalLinks.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.LocalLinks
getDefaultInstanceForType() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
getDefaultInstanceForType() - Method in class org.tensorflow.proto.LogMessage: Deprecated.
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MachineConfiguration.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MachineConfiguration
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryLogRawAllocation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryLogStep.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryLogStep
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryLogTensorOutput
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryStats.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MemoryStats
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MetaGraphDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MetaGraphDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MetricEntry.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.MetricEntry
getDefaultInstanceForType() - Method in class org.tensorflow.proto.NameAttrList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.NameAttrList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.NamedTensorProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.NamedTensorProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.NodeDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.NodeDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.NodeExecStats.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.NodeExecStats
getDefaultInstanceForType() - Method in class org.tensorflow.proto.NodeOutput.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.NodeOutput
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpDef.ArgDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpDef.AttrDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpDeprecation.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpDeprecation
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OptimizerOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.OptimizerOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.PlatformInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.PlatformInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XLine
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XStat
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.QueueRunnerDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ReaderBaseState.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ReaderBaseState
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RegisteredGradient.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RegisteredGradient
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RequestedExitCode.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RequestedExitCode
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ResourceHandleProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RewriterConfig.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RewriterConfig
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RunConfiguration.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RunConfiguration
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RunMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RunMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RunOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RunOptions.Experimental
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.RunOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedModel.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedModel
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedSlice.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedSlice
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedSliceMeta
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedTensorSliceMeta
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SavedTensorSlices
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SaverDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SaverDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SaveSliceInfoDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ScopedAllocatorOptions
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SequenceExample.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SequenceExample
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SerializedDType.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SerializedDType
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ServerDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ServerDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SessionLog.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SessionLog
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SessionMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SessionMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SignatureDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SignatureDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SourceFile.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SourceFile
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SourceMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SourceMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.StackFrameWithId.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.StackFrameWithId
getDefaultInstanceForType() - Method in class org.tensorflow.proto.StatusProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.StatusProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.StepStats.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.StepStats
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.DictValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.DictValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.ListValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.ListValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.NamedTupleValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.NoneValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.PairValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.PairValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.StructuredValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.TensorSpecProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.TupleValue
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Struct.TypeSpecProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Summary.Audio.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Summary.Audio
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Summary.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Summary
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Summary.Image.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Summary.Image
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Summary.Value.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.Summary.Value
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SummaryDescription.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SummaryDescription
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SummaryMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SummaryMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TaggedRunMetadata
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TaskDeviceFilters
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorConnection.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorConnection
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorDescription.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorDescription
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorInfo.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorInfo.CooSparse
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorInfo
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorShapeProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorShapeProto.Dim
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorShapeProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorSliceProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorSliceProto.Extent
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TensorSliceProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TestResults.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TestResults
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ThreadPoolOptionProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
getDefaultInstanceForType() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ValuesDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.ValuesDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.VariableDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.VariableDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.VariantTensorDataProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.VarLenFeatureProto
getDefaultInstanceForType() - Method in class org.tensorflow.proto.VerifierConfig.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.VerifierConfig
getDefaultInstanceForType() - Method in class org.tensorflow.proto.VersionDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.VersionDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.WatchdogConfig.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.WatchdogConfig
getDefaultInstanceForType() - Method in class org.tensorflow.proto.WhileContextDef.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.WhileContextDef
getDefaultInstanceForType() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
getDefaultInstanceForType() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
getDefaultInstanceForType() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
getDefaults() - Method in class org.tensorflow.proto.SignatureDef.Builder: Deprecated.
getDefaults() - Method in class org.tensorflow.proto.SignatureDef: Deprecated.
getDefaults() - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Deprecated.
getDefaultsCount() - Method in class org.tensorflow.proto.SignatureDef.Builder
getDefaultsCount() - Method in class org.tensorflow.proto.SignatureDef
getDefaultsCount() - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named input to corresponding default values if any.
getDefaultSessionConfig() - Method in class org.tensorflow.proto.ServerDef.Builder: The default configuration for sessions that run on this server.
getDefaultSessionConfig() - Method in class org.tensorflow.proto.ServerDef: The default configuration for sessions that run on this server.
getDefaultSessionConfig() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: The default configuration for sessions that run on this server.
getDefaultSessionConfigBuilder() - Method in class org.tensorflow.proto.ServerDef.Builder: The default configuration for sessions that run on this server.
getDefaultSessionConfigOrBuilder() - Method in class org.tensorflow.proto.ServerDef.Builder: The default configuration for sessions that run on this server.
getDefaultSessionConfigOrBuilder() - Method in class org.tensorflow.proto.ServerDef: The default configuration for sessions that run on this server.
getDefaultSessionConfigOrBuilder() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: The default configuration for sessions that run on this server.
getDefaultsMap() - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input to corresponding default values if any.
getDefaultsMap() - Method in class org.tensorflow.proto.SignatureDef: Named input to corresponding default values if any.
getDefaultsMap() - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named input to corresponding default values if any.
getDefaultsOrDefault(String, TensorProto) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input to corresponding default values if any.
getDefaultsOrDefault(String, TensorProto) - Method in class org.tensorflow.proto.SignatureDef: Named input to corresponding default values if any.
getDefaultsOrDefault(String, TensorProto) - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named input to corresponding default values if any.
getDefaultsOrThrow(String) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input to corresponding default values if any.
getDefaultsOrThrow(String) - Method in class org.tensorflow.proto.SignatureDef: Named input to corresponding default values if any.
getDefaultsOrThrow(String) - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named input to corresponding default values if any.
getDefaultValue() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
getDefaultValue() - Method in class org.tensorflow.proto.ApiDef.Attr: Specify a new default value to use for this attr.
getDefaultValue() - Method in interface org.tensorflow.proto.ApiDef.AttrOrBuilder: Specify a new default value to use for this attr.
getDefaultValue() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
getDefaultValue() - Method in class org.tensorflow.proto.FixedLenFeatureProto: .tensorflow.TensorProto default_value = 3;
getDefaultValue() - Method in interface org.tensorflow.proto.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorProto default_value = 3;
getDefaultValue() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
getDefaultValue() - Method in class org.tensorflow.proto.OpDef.AttrDef: A reasonable default for this attribute if the user does not supply a value.
getDefaultValue() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: A reasonable default for this attribute if the user does not supply a value.
getDefaultValueBuilder() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
getDefaultValueBuilder() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
getDefaultValueBuilder() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
getDefaultValueOrBuilder() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
getDefaultValueOrBuilder() - Method in class org.tensorflow.proto.ApiDef.Attr: Specify a new default value to use for this attr.
getDefaultValueOrBuilder() - Method in interface org.tensorflow.proto.ApiDef.AttrOrBuilder: Specify a new default value to use for this attr.
getDefaultValueOrBuilder() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
getDefaultValueOrBuilder() - Method in class org.tensorflow.proto.FixedLenFeatureProto: .tensorflow.TensorProto default_value = 3;
getDefaultValueOrBuilder() - Method in interface org.tensorflow.proto.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorProto default_value = 3;
getDefaultValueOrBuilder() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
getDefaultValueOrBuilder() - Method in class org.tensorflow.proto.OpDef.AttrDef: A reasonable default for this attribute if the user does not supply a value.
getDefaultValueOrBuilder() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: A reasonable default for this attribute if the user does not supply a value.
getDeferred() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: True if the deallocation is queued and will be performed later, e.g. for GPU lazy freeing of buffers.
getDeferred() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation: True if the deallocation is queued and will be performed later, e.g. for GPU lazy freeing of buffers.
getDeferred() - Method in interface org.tensorflow.proto.MemoryLogRawDeallocationOrBuilder: True if the deallocation is queued and will be performed later, e.g. for GPU lazy freeing of buffers.
getDeferredDeletionBytes() - Method in class org.tensorflow.proto.GPUOptions.Builder: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
getDeferredDeletionBytes() - Method in class org.tensorflow.proto.GPUOptions: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
getDeferredDeletionBytes() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
getDefinedName() - Method in class org.tensorflow.ConcreteFunction: Get the name of the function definition.
getDelayMs() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Start of profiling is delayed by this much (in milliseconds).
getDelayMs() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions: Start of profiling is delayed by this much (in milliseconds).
getDelayMs() - Method in interface org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptionsOrBuilder: Start of profiling is delayed by this much (in milliseconds).
getDenseShape() - Method in class org.tensorflow.framework.utils.SparseTensor: Gets the dense shape for the Sparse Tensor
getDenseShapeTensorName() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorName() - Method in class org.tensorflow.proto.TensorInfo.CooSparse: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorName() - Method in interface org.tensorflow.proto.TensorInfo.CooSparseOrBuilder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorNameBytes() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorNameBytes() - Method in class org.tensorflow.proto.TensorInfo.CooSparse: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDenseShapeTensorNameBytes() - Method in interface org.tensorflow.proto.TensorInfo.CooSparseOrBuilder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
getDependencies(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
getDependencies(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Ordered list of dependencies that must be loaded before this object.
getDependencies(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Ordered list of dependencies that must be loaded before this object.
getDependenciesBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
getDependenciesBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
getDependenciesCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
getDependenciesCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Ordered list of dependencies that must be loaded before this object.
getDependenciesCount() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Ordered list of dependencies that must be loaded before this object.
getDependenciesList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
getDependenciesList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Ordered list of dependencies that must be loaded before this object.
getDependenciesList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Ordered list of dependencies that must be loaded before this object.
getDependenciesOrBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
getDependenciesOrBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Ordered list of dependencies that must be loaded before this object.
getDependenciesOrBuilder(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Ordered list of dependencies that must be loaded before this object.
getDependenciesOrBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
getDependenciesOrBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Ordered list of dependencies that must be loaded before this object.
getDependenciesOrBuilderList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Ordered list of dependencies that must be loaded before this object.
getDependencyOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Control dependency optimizations (default is ON).
getDependencyOptimization() - Method in class org.tensorflow.proto.RewriterConfig: Control dependency optimizations (default is ON).
getDependencyOptimization() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Control dependency optimizations (default is ON).
getDependencyOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Control dependency optimizations (default is ON).
getDependencyOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig: Control dependency optimizations (default is ON).
getDependencyOptimizationValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Control dependency optimizations (default is ON).
getDeploymentMode() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder: .tensorflow.data.DeploymentMode deployment_mode = 1;
getDeploymentMode() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig: .tensorflow.data.DeploymentMode deployment_mode = 1;
getDeploymentMode() - Method in interface org.tensorflow.proto.data.DataService.DataServiceConfigOrBuilder: .tensorflow.data.DeploymentMode deployment_mode = 1;
getDeploymentMode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) tf.data service deployment mode.
getDeploymentMode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: (Optional.) tf.data service deployment mode.
getDeploymentMode() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: (Optional.) tf.data service deployment mode.
getDeploymentModeValue() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder: .tensorflow.data.DeploymentMode deployment_mode = 1;
getDeploymentModeValue() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig: .tensorflow.data.DeploymentMode deployment_mode = 1;
getDeploymentModeValue() - Method in interface org.tensorflow.proto.data.DataService.DataServiceConfigOrBuilder: .tensorflow.data.DeploymentMode deployment_mode = 1;
getDeploymentModeValue() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) tf.data service deployment mode.
getDeploymentModeValue() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: (Optional.) tf.data service deployment mode.
getDeploymentModeValue() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: (Optional.) tf.data service deployment mode.
getDeprecated() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder: Set if this endpoint is deprecated.
getDeprecated() - Method in class org.tensorflow.proto.ApiDef.Endpoint: Set if this endpoint is deprecated.
getDeprecated() - Method in interface org.tensorflow.proto.ApiDef.EndpointOrBuilder: Set if this endpoint is deprecated.
getDeprecation() - Method in class org.tensorflow.proto.OpDef.Builder: Optional deprecation based on GraphDef versions.
getDeprecation() - Method in class org.tensorflow.proto.OpDef: Optional deprecation based on GraphDef versions.
getDeprecation() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Optional deprecation based on GraphDef versions.
getDeprecationBuilder() - Method in class org.tensorflow.proto.OpDef.Builder: Optional deprecation based on GraphDef versions.
getDeprecationMessage() - Method in class org.tensorflow.proto.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessage() - Method in class org.tensorflow.proto.ApiDef: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessage() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessageBytes() - Method in class org.tensorflow.proto.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessageBytes() - Method in class org.tensorflow.proto.ApiDef: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationMessageBytes() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
getDeprecationOrBuilder() - Method in class org.tensorflow.proto.OpDef.Builder: Optional deprecation based on GraphDef versions.
getDeprecationOrBuilder() - Method in class org.tensorflow.proto.OpDef: Optional deprecation based on GraphDef versions.
getDeprecationOrBuilder() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Optional deprecation based on GraphDef versions.
getDeprecationVersion() - Method in class org.tensorflow.proto.ApiDef.Builder: Major version when the op will be deleted.
getDeprecationVersion() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder: Major version when an endpoint will be deleted.
getDeprecationVersion() - Method in class org.tensorflow.proto.ApiDef.Endpoint: Major version when an endpoint will be deleted.
getDeprecationVersion() - Method in interface org.tensorflow.proto.ApiDef.EndpointOrBuilder: Major version when an endpoint will be deleted.
getDeprecationVersion() - Method in class org.tensorflow.proto.ApiDef: Major version when the op will be deleted.
getDeprecationVersion() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: Major version when the op will be deleted.
getDescription() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
getDescription() - Method in class org.tensorflow.proto.ApiDef.Arg: Note: this will replace any inherited arg doc.
getDescription() - Method in interface org.tensorflow.proto.ApiDef.ArgOrBuilder: Note: this will replace any inherited arg doc.
getDescription() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescription() - Method in class org.tensorflow.proto.ApiDef.Attr: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescription() - Method in interface org.tensorflow.proto.ApiDef.AttrOrBuilder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescription() - Method in class org.tensorflow.proto.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
getDescription() - Method in class org.tensorflow.proto.ApiDef: Additional, longer human-readable description of what the Op does.
getDescription() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: Additional, longer human-readable description of what the Op does.
getDescription() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Human readable description.
getDescription() - Method in class org.tensorflow.proto.OpDef.ArgDef: Human readable description.
getDescription() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: Human readable description.
getDescription() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: Human-readable description.
getDescription() - Method in class org.tensorflow.proto.OpDef.AttrDef: Human-readable description.
getDescription() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: Human-readable description.
getDescription() - Method in class org.tensorflow.proto.OpDef.Builder: Additional, longer human-readable description of what the Op does.
getDescription() - Method in class org.tensorflow.proto.OpDef: Additional, longer human-readable description of what the Op does.
getDescription() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Additional, longer human-readable description of what the Op does.
getDescription() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: Description of the stat (might be long).
getDescription() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata: Description of the stat (might be long).
getDescription() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatMetadataOrBuilder: Description of the stat (might be long).
getDescriptionBytes() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
getDescriptionBytes() - Method in class org.tensorflow.proto.ApiDef.Arg: Note: this will replace any inherited arg doc.
getDescriptionBytes() - Method in interface org.tensorflow.proto.ApiDef.ArgOrBuilder: Note: this will replace any inherited arg doc.
getDescriptionBytes() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescriptionBytes() - Method in class org.tensorflow.proto.ApiDef.Attr: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescriptionBytes() - Method in interface org.tensorflow.proto.ApiDef.AttrOrBuilder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
getDescriptionBytes() - Method in class org.tensorflow.proto.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - Method in class org.tensorflow.proto.ApiDef: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Human readable description.
getDescriptionBytes() - Method in class org.tensorflow.proto.OpDef.ArgDef: Human readable description.
getDescriptionBytes() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: Human readable description.
getDescriptionBytes() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: Human-readable description.
getDescriptionBytes() - Method in class org.tensorflow.proto.OpDef.AttrDef: Human-readable description.
getDescriptionBytes() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: Human-readable description.
getDescriptionBytes() - Method in class org.tensorflow.proto.OpDef.Builder: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - Method in class org.tensorflow.proto.OpDef: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Additional, longer human-readable description of what the Op does.
getDescriptionBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: Description of the stat (might be long).
getDescriptionBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata: Description of the stat (might be long).
getDescriptionBytes() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatMetadataOrBuilder: Description of the stat (might be long).
getDescriptionPrefix() - Method in class org.tensorflow.proto.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefix() - Method in class org.tensorflow.proto.ApiDef: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefix() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefixBytes() - Method in class org.tensorflow.proto.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefixBytes() - Method in class org.tensorflow.proto.ApiDef: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionPrefixBytes() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: Modify an existing/inherited description by adding text to the beginning or end.
getDescriptionSuffix() - Method in class org.tensorflow.proto.ApiDef.Builder: string description_suffix = 10;
getDescriptionSuffix() - Method in class org.tensorflow.proto.ApiDef: string description_suffix = 10;
getDescriptionSuffix() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: string description_suffix = 10;
getDescriptionSuffixBytes() - Method in class org.tensorflow.proto.ApiDef.Builder: string description_suffix = 10;
getDescriptionSuffixBytes() - Method in class org.tensorflow.proto.ApiDef: string description_suffix = 10;
getDescriptionSuffixBytes() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: string description_suffix = 10;
getDescriptor() - Static method in class org.tensorflow.proto.AllocationDescription.Builder
getDescriptor() - Static method in class org.tensorflow.proto.AllocationDescription
getDescriptor() - Static method in class org.tensorflow.proto.AllocationDescriptionProtos
getDescriptor() - Static method in class org.tensorflow.proto.AllocationRecord.Builder
getDescriptor() - Static method in class org.tensorflow.proto.AllocationRecord
getDescriptor() - Static method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
getDescriptor() - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
getDescriptor() - Static method in class org.tensorflow.proto.ApiDef.Arg.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ApiDef.Arg
getDescriptor() - Static method in class org.tensorflow.proto.ApiDef.Attr.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ApiDef.Attr
getDescriptor() - Static method in class org.tensorflow.proto.ApiDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ApiDef.Endpoint
getDescriptor() - Static method in class org.tensorflow.proto.ApiDef
getDescriptor() - Static method in enum org.tensorflow.proto.ApiDef.Visibility
getDescriptor() - Static method in class org.tensorflow.proto.ApiDefProtos
getDescriptor() - Static method in class org.tensorflow.proto.ApiDefs.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ApiDefs
getDescriptor() - Static method in class org.tensorflow.proto.AssetFileDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.AssetFileDef
getDescriptor() - Static method in class org.tensorflow.proto.AttrValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.AttrValue
getDescriptor() - Static method in class org.tensorflow.proto.AttrValue.ListValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.AttrValue.ListValue
getDescriptor() - Static method in class org.tensorflow.proto.AttrValueProtos
getDescriptor() - Static method in class org.tensorflow.proto.AutoParallelOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.AutoParallelOptions
getDescriptor() - Static method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.AvailableDeviceInfo
getDescriptor() - Static method in class org.tensorflow.proto.BenchmarkEntries.Builder
getDescriptor() - Static method in class org.tensorflow.proto.BenchmarkEntries
getDescriptor() - Static method in class org.tensorflow.proto.BenchmarkEntry.Builder
getDescriptor() - Static method in class org.tensorflow.proto.BenchmarkEntry
getDescriptor() - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
getDescriptor() - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
getDescriptor() - Static method in class org.tensorflow.proto.BfcMemoryMap
getDescriptor() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
getDescriptor() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
getDescriptor() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
getDescriptor() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
getDescriptor() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
getDescriptor() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
getDescriptor() - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
getDescriptor() - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
getDescriptor() - Static method in class org.tensorflow.proto.BuildConfiguration.Builder
getDescriptor() - Static method in class org.tensorflow.proto.BuildConfiguration
getDescriptor() - Static method in class org.tensorflow.proto.BundleEntryProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.BundleEntryProto
getDescriptor() - Static method in class org.tensorflow.proto.BundleHeaderProto.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.BundleHeaderProto.Endianness
getDescriptor() - Static method in class org.tensorflow.proto.BundleHeaderProto
getDescriptor() - Static method in class org.tensorflow.proto.BytesList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.BytesList
getDescriptor() - Static method in class org.tensorflow.proto.CallableOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CallableOptions
getDescriptor() - Static method in class org.tensorflow.proto.ClusterDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ClusterDef
getDescriptor() - Static method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ClusterDeviceFilters
getDescriptor() - Static method in class org.tensorflow.proto.ClusterProtos
getDescriptor() - Static method in class org.tensorflow.proto.CodeLocation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CodeLocation
getDescriptor() - Static method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CollectionDef.AnyList
getDescriptor() - Static method in class org.tensorflow.proto.CollectionDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CollectionDef.BytesList
getDescriptor() - Static method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CollectionDef.FloatList
getDescriptor() - Static method in class org.tensorflow.proto.CollectionDef
getDescriptor() - Static method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CollectionDef.Int64List
getDescriptor() - Static method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CollectionDef.NodeList
getDescriptor() - Static method in class org.tensorflow.proto.CommitId.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CommitId
getDescriptor() - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
getDescriptor() - Static method in class org.tensorflow.proto.CompositeTensorVariant
getDescriptor() - Static method in class org.tensorflow.proto.CondContextDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CondContextDef
getDescriptor() - Static method in class org.tensorflow.proto.ConfigProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ConfigProto.Experimental
getDescriptor() - Static method in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout
getDescriptor() - Static method in class org.tensorflow.proto.ConfigProto
getDescriptor() - Static method in class org.tensorflow.proto.ConfigProtos
getDescriptor() - Static method in class org.tensorflow.proto.ControlFlowContextDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ControlFlowContextDef
getDescriptor() - Static method in class org.tensorflow.proto.ControlFlowProtos
getDescriptor() - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
getDescriptor() - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
getDescriptor() - Static method in class org.tensorflow.proto.CoordinationConfig
getDescriptor() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
getDescriptor() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
getDescriptor() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
getDescriptor() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
getDescriptor() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
getDescriptor() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
getDescriptor() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
getDescriptor() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
getDescriptor() - Static method in class org.tensorflow.proto.core.CppShapeInference
getDescriptor() - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource
getDescriptor() - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
getDescriptor() - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads
getDescriptor() - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
getDescriptor() - Static method in class org.tensorflow.proto.CostGraphDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CostGraphDef
getDescriptor() - Static method in class org.tensorflow.proto.CostGraphDef.Node.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CostGraphDef.Node
getDescriptor() - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
getDescriptor() - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
getDescriptor() - Static method in class org.tensorflow.proto.CostGraphProtos
getDescriptor() - Static method in class org.tensorflow.proto.CPUInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.CPUInfo
getDescriptor() - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
getDescriptor() - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
getDescriptor() - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression
getDescriptor() - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
getDescriptor() - Static method in enum org.tensorflow.proto.data.DataService.DeploymentMode
getDescriptor() - Static method in class org.tensorflow.proto.data.DataService
getDescriptor() - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
getDescriptor() - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
getDescriptor() - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
getDescriptor() - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
getDescriptor() - Static method in class org.tensorflow.proto.data.Dataset
getDescriptor() - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetMetadata
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
getDescriptor() - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
getDescriptor() - Static method in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.Snapshot
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
getDescriptor() - Static method in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm
getDescriptor() - Static method in class org.tensorflow.proto.data.model.Model
getDescriptor() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
getDescriptor() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
getDescriptor() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
getDescriptor() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
getDescriptor() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
getDescriptor() - Static method in enum org.tensorflow.proto.data.model.Model.NodeClass
getDescriptor() - Static method in enum org.tensorflow.proto.DataClass
getDescriptor() - Static method in enum org.tensorflow.proto.DataType
getDescriptor() - Static method in class org.tensorflow.proto.DebugEvent.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DebugEvent
getDescriptor() - Static method in class org.tensorflow.proto.DebugEventProtos
getDescriptor() - Static method in class org.tensorflow.proto.DebuggedDevice.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DebuggedDevice
getDescriptor() - Static method in class org.tensorflow.proto.DebuggedGraph.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DebuggedGraph
getDescriptor() - Static method in class org.tensorflow.proto.DebuggedSourceFile.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DebuggedSourceFile
getDescriptor() - Static method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DebuggedSourceFiles
getDescriptor() - Static method in class org.tensorflow.proto.DebugMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DebugMetadata
getDescriptor() - Static method in class org.tensorflow.proto.DebugOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DebugOptions
getDescriptor() - Static method in class org.tensorflow.proto.DebugProtos
getDescriptor() - Static method in class org.tensorflow.proto.DebugTensorWatch.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DebugTensorWatch
getDescriptor() - Static method in class org.tensorflow.proto.DeviceAttributes.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DeviceAttributes
getDescriptor() - Static method in class org.tensorflow.proto.DeviceAttributesProtos
getDescriptor() - Static method in class org.tensorflow.proto.DeviceFiltersProtos
getDescriptor() - Static method in class org.tensorflow.proto.DeviceLocality.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DeviceLocality
getDescriptor() - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
getDescriptor() - Static method in class org.tensorflow.proto.DevicePropertiesProtos
getDescriptor() - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
getDescriptor() - Static method in class org.tensorflow.proto.DeviceStepStats.Builder
getDescriptor() - Static method in class org.tensorflow.proto.DeviceStepStats
getDescriptor() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads
getDescriptor() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
getDescriptor() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
getDescriptor() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
getDescriptor() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
getDescriptor() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
getDescriptor() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
getDescriptor() - Static method in class org.tensorflow.proto.dummy.BfcMemoryMap
getDescriptor() - Static method in class org.tensorflow.proto.dummy.ProfilerOptions
getDescriptor() - Static method in class org.tensorflow.proto.dummy.RpcOptions
getDescriptor() - Static method in class org.tensorflow.proto.dummy.Status
getDescriptor() - Static method in class org.tensorflow.proto.dummy.TestLog
getDescriptor() - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
getDescriptor() - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
getDescriptor() - Static method in class org.tensorflow.proto.eager.RemoteTensorHandleProtos
getDescriptor() - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
getDescriptor() - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
getDescriptor() - Static method in class org.tensorflow.proto.EntryValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.EntryValue
getDescriptor() - Static method in enum org.tensorflow.proto.error.Code
getDescriptor() - Static method in class org.tensorflow.proto.error.dummy.ErrorCodes
getDescriptor() - Static method in class org.tensorflow.proto.error.ErrorCodesProtos
getDescriptor() - Static method in class org.tensorflow.proto.ErrorCodes
getDescriptor() - Static method in class org.tensorflow.proto.Event.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Event
getDescriptor() - Static method in class org.tensorflow.proto.EventProtos
getDescriptor() - Static method in class org.tensorflow.proto.Example.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Example
getDescriptor() - Static method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ExampleParserConfiguration
getDescriptor() - Static method in class org.tensorflow.proto.ExampleParserConfigurationProtos
getDescriptor() - Static method in class org.tensorflow.proto.ExampleProtos
getDescriptor() - Static method in class org.tensorflow.proto.Execution.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Execution
getDescriptor() - Static method in class org.tensorflow.proto.Feature.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Feature
getDescriptor() - Static method in class org.tensorflow.proto.FeatureConfiguration.Builder
getDescriptor() - Static method in class org.tensorflow.proto.FeatureConfiguration
getDescriptor() - Static method in class org.tensorflow.proto.FeatureList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.FeatureList
getDescriptor() - Static method in class org.tensorflow.proto.FeatureLists.Builder
getDescriptor() - Static method in class org.tensorflow.proto.FeatureLists
getDescriptor() - Static method in class org.tensorflow.proto.FeatureProtos
getDescriptor() - Static method in class org.tensorflow.proto.Features.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Features
getDescriptor() - Static method in class org.tensorflow.proto.FingerprintDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.FingerprintDef
getDescriptor() - Static method in class org.tensorflow.proto.FingerprintProtos
getDescriptor() - Static method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.FixedLenFeatureProto
getDescriptor() - Static method in class org.tensorflow.proto.FloatList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.FloatList
getDescriptor() - Static method in class org.tensorflow.proto.FullTypeDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.FullTypeDef
getDescriptor() - Static method in enum org.tensorflow.proto.FullTypeId
getDescriptor() - Static method in class org.tensorflow.proto.FullTypeProtos
getDescriptor() - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
getDescriptor() - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
getDescriptor() - Static method in class org.tensorflow.proto.FunctionDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.FunctionDef
getDescriptor() - Static method in class org.tensorflow.proto.FunctionDefLibrary.Builder
getDescriptor() - Static method in class org.tensorflow.proto.FunctionDefLibrary
getDescriptor() - Static method in class org.tensorflow.proto.FunctionProtos
getDescriptor() - Static method in class org.tensorflow.proto.GPUInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GPUInfo
getDescriptor() - Static method in class org.tensorflow.proto.GPUOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GPUOptions.Experimental
getDescriptor() - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
getDescriptor() - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
getDescriptor() - Static method in class org.tensorflow.proto.GPUOptions
getDescriptor() - Static method in class org.tensorflow.proto.GradientDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GradientDef
getDescriptor() - Static method in class org.tensorflow.proto.GraphDebugInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
getDescriptor() - Static method in class org.tensorflow.proto.GraphDebugInfo
getDescriptor() - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
getDescriptor() - Static method in class org.tensorflow.proto.GraphDebugInfoProtos
getDescriptor() - Static method in class org.tensorflow.proto.GraphDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphDef
getDescriptor() - Static method in class org.tensorflow.proto.GraphExecutionTrace.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphExecutionTrace
getDescriptor() - Static method in class org.tensorflow.proto.GraphOpCreation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphOpCreation
getDescriptor() - Static method in class org.tensorflow.proto.GraphOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphOptions
getDescriptor() - Static method in class org.tensorflow.proto.GraphProtos
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferInfo.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.GraphTransferInfo.Destination
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferInfo
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferInfoProto
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferNodeInput
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
getDescriptor() - Static method in class org.tensorflow.proto.Histogram
getDescriptor() - Static method in class org.tensorflow.proto.HistogramProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.HistogramProto
getDescriptor() - Static method in class org.tensorflow.proto.Int64List.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Int64List
getDescriptor() - Static method in class org.tensorflow.proto.InterconnectLink.Builder
getDescriptor() - Static method in class org.tensorflow.proto.InterconnectLink
getDescriptor() - Static method in class org.tensorflow.proto.JobDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.JobDef
getDescriptor() - Static method in class org.tensorflow.proto.JobDeviceFilters.Builder
getDescriptor() - Static method in class org.tensorflow.proto.JobDeviceFilters
getDescriptor() - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
getDescriptor() - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
getDescriptor() - Static method in class org.tensorflow.proto.KernelDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.KernelDef
getDescriptor() - Static method in class org.tensorflow.proto.KernelDefProtos
getDescriptor() - Static method in class org.tensorflow.proto.KernelList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.KernelList
getDescriptor() - Static method in class org.tensorflow.proto.LocalLinks.Builder
getDescriptor() - Static method in class org.tensorflow.proto.LocalLinks
getDescriptor() - Static method in class org.tensorflow.proto.LogMemoryProtos
getDescriptor() - Static method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
getDescriptor() - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
getDescriptor() - Static method in enum org.tensorflow.proto.LogMessage.Level: Deprecated.
getDescriptor() - Static method in class org.tensorflow.proto.MachineConfiguration.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MachineConfiguration
getDescriptor() - Static method in class org.tensorflow.proto.MemmappedFileSystem
getDescriptor() - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
getDescriptor() - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
getDescriptor() - Static method in class org.tensorflow.proto.MemoryInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MemoryInfo
getDescriptor() - Static method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
getDescriptor() - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
getDescriptor() - Static method in class org.tensorflow.proto.MemoryLogStep.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MemoryLogStep
getDescriptor() - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
getDescriptor() - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
getDescriptor() - Static method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
getDescriptor() - Static method in class org.tensorflow.proto.MemoryStats.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MemoryStats
getDescriptor() - Static method in class org.tensorflow.proto.MetaGraphDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MetaGraphDef
getDescriptor() - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
getDescriptor() - Static method in class org.tensorflow.proto.MetaGraphProtos
getDescriptor() - Static method in class org.tensorflow.proto.MetricEntry.Builder
getDescriptor() - Static method in class org.tensorflow.proto.MetricEntry
getDescriptor() - Static method in class org.tensorflow.proto.NameAttrList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.NameAttrList
getDescriptor() - Static method in class org.tensorflow.proto.NamedTensorProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.NamedTensorProto
getDescriptor() - Static method in class org.tensorflow.proto.NamedTensorProtos
getDescriptor() - Static method in class org.tensorflow.proto.NodeDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
getDescriptor() - Static method in class org.tensorflow.proto.NodeDef
getDescriptor() - Static method in class org.tensorflow.proto.NodeExecStats.Builder
getDescriptor() - Static method in class org.tensorflow.proto.NodeExecStats
getDescriptor() - Static method in class org.tensorflow.proto.NodeOutput.Builder
getDescriptor() - Static method in class org.tensorflow.proto.NodeOutput
getDescriptor() - Static method in class org.tensorflow.proto.NodeProto
getDescriptor() - Static method in class org.tensorflow.proto.OpDef.ArgDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpDef.ArgDef
getDescriptor() - Static method in class org.tensorflow.proto.OpDef.AttrDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpDef.AttrDef
getDescriptor() - Static method in class org.tensorflow.proto.OpDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpDef
getDescriptor() - Static method in class org.tensorflow.proto.OpDefProtos
getDescriptor() - Static method in class org.tensorflow.proto.OpDeprecation.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpDeprecation
getDescriptor() - Static method in class org.tensorflow.proto.OpList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpList
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
getDescriptor() - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass
getDescriptor() - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
getDescriptor() - Static method in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource
getDescriptor() - Static method in class org.tensorflow.proto.OptimizerOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.OptimizerOptions
getDescriptor() - Static method in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel
getDescriptor() - Static method in enum org.tensorflow.proto.OptimizerOptions.Level
getDescriptor() - Static method in class org.tensorflow.proto.PlatformInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.PlatformInfo
getDescriptor() - Static method in class org.tensorflow.proto.profiler.empty.Xplane
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
getDescriptor() - Static method in class org.tensorflow.proto.ProfilerOptions
getDescriptor() - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType
getDescriptor() - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
getDescriptor() - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
getDescriptor() - Static method in class org.tensorflow.proto.QueueRunnerDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.QueueRunnerDef
getDescriptor() - Static method in class org.tensorflow.proto.QueueRunnerProtos
getDescriptor() - Static method in class org.tensorflow.proto.ReaderBaseProtos
getDescriptor() - Static method in class org.tensorflow.proto.ReaderBaseState.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ReaderBaseState
getDescriptor() - Static method in class org.tensorflow.proto.RegisteredGradient.Builder
getDescriptor() - Static method in class org.tensorflow.proto.RegisteredGradient
getDescriptor() - Static method in class org.tensorflow.proto.RequestedExitCode.Builder
getDescriptor() - Static method in class org.tensorflow.proto.RequestedExitCode
getDescriptor() - Static method in class org.tensorflow.proto.ResourceHandle
getDescriptor() - Static method in class org.tensorflow.proto.ResourceHandleProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
getDescriptor() - Static method in class org.tensorflow.proto.ResourceHandleProto
getDescriptor() - Static method in class org.tensorflow.proto.RewriterConfig.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.RewriterConfig.CpuLayout
getDescriptor() - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
getDescriptor() - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
getDescriptor() - Static method in class org.tensorflow.proto.RewriterConfig
getDescriptor() - Static method in enum org.tensorflow.proto.RewriterConfig.MemOptType
getDescriptor() - Static method in enum org.tensorflow.proto.RewriterConfig.NumIterationsType
getDescriptor() - Static method in enum org.tensorflow.proto.RewriterConfig.Toggle
getDescriptor() - Static method in class org.tensorflow.proto.RewriterConfigProtos
getDescriptor() - Static method in class org.tensorflow.proto.RpcOptions
getDescriptor() - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
getDescriptor() - Static method in class org.tensorflow.proto.RunConfiguration.Builder
getDescriptor() - Static method in class org.tensorflow.proto.RunConfiguration
getDescriptor() - Static method in class org.tensorflow.proto.RunMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
getDescriptor() - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
getDescriptor() - Static method in class org.tensorflow.proto.RunMetadata
getDescriptor() - Static method in class org.tensorflow.proto.RunOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.RunOptions.Experimental.Builder
getDescriptor() - Static method in class org.tensorflow.proto.RunOptions.Experimental
getDescriptor() - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
getDescriptor() - Static method in class org.tensorflow.proto.RunOptions
getDescriptor() - Static method in enum org.tensorflow.proto.RunOptions.TraceLevel
getDescriptor() - Static method in class org.tensorflow.proto.SavedModel.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedModel
getDescriptor() - Static method in class org.tensorflow.proto.SavedModelProtos
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
getDescriptor() - Static method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
getDescriptor() - Static method in class org.tensorflow.proto.SavedSlice.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedSlice
getDescriptor() - Static method in class org.tensorflow.proto.SavedSliceMeta.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedSliceMeta
getDescriptor() - Static method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
getDescriptor() - Static method in class org.tensorflow.proto.SavedTensorSliceProtos
getDescriptor() - Static method in class org.tensorflow.proto.SavedTensorSlices.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SavedTensorSlices
getDescriptor() - Static method in class org.tensorflow.proto.SaverDef.Builder
getDescriptor() - Static method in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion
getDescriptor() - Static method in class org.tensorflow.proto.SaverDef
getDescriptor() - Static method in class org.tensorflow.proto.SaverProtos
getDescriptor() - Static method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SaveSliceInfoDef
getDescriptor() - Static method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
getDescriptor() - Static method in class org.tensorflow.proto.SequenceExample.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SequenceExample
getDescriptor() - Static method in class org.tensorflow.proto.SerializedDType.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SerializedDType
getDescriptor() - Static method in class org.tensorflow.proto.ServerDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ServerDef
getDescriptor() - Static method in class org.tensorflow.proto.ServerProtos
getDescriptor() - Static method in class org.tensorflow.proto.SessionLog.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SessionLog
getDescriptor() - Static method in enum org.tensorflow.proto.SessionLog.SessionStatus
getDescriptor() - Static method in class org.tensorflow.proto.SessionMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SessionMetadata
getDescriptor() - Static method in class org.tensorflow.proto.SignatureDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SignatureDef
getDescriptor() - Static method in class org.tensorflow.proto.SourceFile.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SourceFile
getDescriptor() - Static method in class org.tensorflow.proto.SourceMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SourceMetadata
getDescriptor() - Static method in class org.tensorflow.proto.StackFrameWithId.Builder
getDescriptor() - Static method in class org.tensorflow.proto.StackFrameWithId
getDescriptor() - Static method in class org.tensorflow.proto.Status
getDescriptor() - Static method in class org.tensorflow.proto.StatusProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.StatusProto
getDescriptor() - Static method in class org.tensorflow.proto.StepStats.Builder
getDescriptor() - Static method in class org.tensorflow.proto.StepStats
getDescriptor() - Static method in class org.tensorflow.proto.StepStatsProtos
getDescriptor() - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
getDescriptor() - Static method in class org.tensorflow.proto.Struct.DictValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Struct.DictValue
getDescriptor() - Static method in class org.tensorflow.proto.Struct
getDescriptor() - Static method in class org.tensorflow.proto.Struct.ListValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Struct.ListValue
getDescriptor() - Static method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
getDescriptor() - Static method in class org.tensorflow.proto.Struct.NoneValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Struct.NoneValue
getDescriptor() - Static method in class org.tensorflow.proto.Struct.PairValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Struct.PairValue
getDescriptor() - Static method in class org.tensorflow.proto.Struct.StructuredValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Struct.StructuredValue
getDescriptor() - Static method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
getDescriptor() - Static method in class org.tensorflow.proto.Struct.TupleValue.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Struct.TupleValue
getDescriptor() - Static method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
getDescriptor() - Static method in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass
getDescriptor() - Static method in class org.tensorflow.proto.Summary.Audio.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Summary.Audio
getDescriptor() - Static method in class org.tensorflow.proto.Summary.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Summary
getDescriptor() - Static method in class org.tensorflow.proto.Summary.Image.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Summary.Image
getDescriptor() - Static method in class org.tensorflow.proto.Summary.Value.Builder
getDescriptor() - Static method in class org.tensorflow.proto.Summary.Value
getDescriptor() - Static method in class org.tensorflow.proto.SummaryDescription.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SummaryDescription
getDescriptor() - Static method in class org.tensorflow.proto.SummaryMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SummaryMetadata
getDescriptor() - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
getDescriptor() - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
getDescriptor() - Static method in class org.tensorflow.proto.SummaryProtos
getDescriptor() - Static method in class org.tensorflow.proto.TaggedRunMetadata.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TaggedRunMetadata
getDescriptor() - Static method in class org.tensorflow.proto.TaskDeviceFilters.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TaskDeviceFilters
getDescriptor() - Static method in class org.tensorflow.proto.TensorBundleProtos
getDescriptor() - Static method in class org.tensorflow.proto.TensorConnection.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TensorConnection
getDescriptor() - Static method in enum org.tensorflow.proto.TensorDebugMode
getDescriptor() - Static method in class org.tensorflow.proto.TensorDescription.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TensorDescription
getDescriptor() - Static method in class org.tensorflow.proto.TensorDescriptionProtos
getDescriptor() - Static method in class org.tensorflow.proto.TensorInfo.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
getDescriptor() - Static method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
getDescriptor() - Static method in class org.tensorflow.proto.TensorInfo
getDescriptor() - Static method in class org.tensorflow.proto.TensorProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TensorProto
getDescriptor() - Static method in class org.tensorflow.proto.TensorProtos
getDescriptor() - Static method in class org.tensorflow.proto.TensorShapeProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
getDescriptor() - Static method in class org.tensorflow.proto.TensorShapeProto
getDescriptor() - Static method in class org.tensorflow.proto.TensorShapeProtos
getDescriptor() - Static method in class org.tensorflow.proto.TensorSliceProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
getDescriptor() - Static method in class org.tensorflow.proto.TensorSliceProto
getDescriptor() - Static method in class org.tensorflow.proto.TensorSliceProtos
getDescriptor() - Static method in class org.tensorflow.proto.TestLogProtos
getDescriptor() - Static method in enum org.tensorflow.proto.TestResults.BenchmarkType
getDescriptor() - Static method in class org.tensorflow.proto.TestResults.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TestResults
getDescriptor() - Static method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
getDescriptor() - Static method in class org.tensorflow.proto.TransportOptions
getDescriptor() - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
getDescriptor() - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
getDescriptor() - Static method in class org.tensorflow.proto.TypesProtos
getDescriptor() - Static method in class org.tensorflow.proto.UniformQuantOpsAttr
getDescriptor() - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
getDescriptor() - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
getDescriptor() - Static method in class org.tensorflow.proto.ValuesDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.ValuesDef
getDescriptor() - Static method in enum org.tensorflow.proto.VariableAggregation
getDescriptor() - Static method in class org.tensorflow.proto.VariableDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.VariableDef
getDescriptor() - Static method in class org.tensorflow.proto.VariableProtos
getDescriptor() - Static method in enum org.tensorflow.proto.VariableSynchronization
getDescriptor() - Static method in class org.tensorflow.proto.VariantTensorDataProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.VariantTensorDataProto
getDescriptor() - Static method in class org.tensorflow.proto.VarLenFeatureProto.Builder
getDescriptor() - Static method in class org.tensorflow.proto.VarLenFeatureProto
getDescriptor() - Static method in class org.tensorflow.proto.VerifierConfig.Builder
getDescriptor() - Static method in class org.tensorflow.proto.VerifierConfig
getDescriptor() - Static method in enum org.tensorflow.proto.VerifierConfig.Toggle
getDescriptor() - Static method in class org.tensorflow.proto.VerifierConfigProtos
getDescriptor() - Static method in class org.tensorflow.proto.VersionDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.VersionDef
getDescriptor() - Static method in class org.tensorflow.proto.VersionsProtos
getDescriptor() - Static method in class org.tensorflow.proto.WatchdogConfig.Builder
getDescriptor() - Static method in class org.tensorflow.proto.WatchdogConfig
getDescriptor() - Static method in class org.tensorflow.proto.WhileContextDef.Builder
getDescriptor() - Static method in class org.tensorflow.proto.WhileContextDef
getDescriptor() - Static method in enum org.tensorflow.proto.WorkerHealth
getDescriptor() - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
getDescriptor() - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
getDescriptor() - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
getDescriptor() - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
getDescriptor() - Static method in enum org.tensorflow.proto.WorkerShutdownMode
getDescriptorForType() - Method in class org.tensorflow.proto.AllocationDescription.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.AllocationRecord.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ApiDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.ApiDef.Visibility
getDescriptorForType() - Method in class org.tensorflow.proto.ApiDefs.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.AssetFileDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.AttrValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.BuildConfiguration.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.BundleEntryProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.BundleHeaderProto.Endianness
getDescriptorForType() - Method in class org.tensorflow.proto.BytesList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CallableOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ClusterDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CodeLocation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CollectionDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CommitId.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CondContextDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ConfigProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout
getDescriptorForType() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource
getDescriptorForType() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CostGraphDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.CPUInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression
getDescriptorForType() - Method in enum org.tensorflow.proto.data.DataService.DeploymentMode
getDescriptorForType() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
getDescriptorForType() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy
getDescriptorForType() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel
getDescriptorForType() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy
getDescriptorForType() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm
getDescriptorForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.data.model.Model.NodeClass
getDescriptorForType() - Method in enum org.tensorflow.proto.DataClass
getDescriptorForType() - Method in enum org.tensorflow.proto.DataType
getDescriptorForType() - Method in class org.tensorflow.proto.DebugEvent.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.DebuggedDevice.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.DebuggedGraph.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.DebugMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.DebugOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.DeviceAttributes.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.DeviceLocality.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.DeviceStepStats.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.EntryValue.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.error.Code
getDescriptorForType() - Method in class org.tensorflow.proto.Event.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Example.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Execution.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Feature.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.FeatureList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.FeatureLists.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Features.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.FingerprintDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.FloatList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.FullTypeDef.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.FullTypeId
getDescriptorForType() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.FunctionDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GPUInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GPUOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GradientDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphOpCreation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.GraphTransferInfo.Destination
getDescriptorForType() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.HistogramProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Int64List.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.InterconnectLink.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.JobDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.KernelDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.KernelList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.LocalLinks.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
getDescriptorForType() - Method in enum org.tensorflow.proto.LogMessage.Level: Deprecated.
getDescriptorForType() - Method in class org.tensorflow.proto.MachineConfiguration.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MemoryInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MemoryLogStep.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MemoryStats.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MetaGraphDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.MetricEntry.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.NameAttrList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.NamedTensorProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.NodeDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.NodeExecStats.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.NodeOutput.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpDeprecation.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource
getDescriptorForType() - Method in class org.tensorflow.proto.OptimizerOptions.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel
getDescriptorForType() - Method in enum org.tensorflow.proto.OptimizerOptions.Level
getDescriptorForType() - Method in class org.tensorflow.proto.PlatformInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType
getDescriptorForType() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ReaderBaseState.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.RegisteredGradient.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.RequestedExitCode.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.RewriterConfig.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.RewriterConfig.CpuLayout
getDescriptorForType() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.RewriterConfig.MemOptType
getDescriptorForType() - Method in enum org.tensorflow.proto.RewriterConfig.NumIterationsType
getDescriptorForType() - Method in enum org.tensorflow.proto.RewriterConfig.Toggle
getDescriptorForType() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.RunConfiguration.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.RunMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.RunOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.RunOptions.TraceLevel
getDescriptorForType() - Method in class org.tensorflow.proto.SavedModel.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedSlice.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SaverDef.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion
getDescriptorForType() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SequenceExample.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SerializedDType.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ServerDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SessionLog.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.SessionLog.SessionStatus
getDescriptorForType() - Method in class org.tensorflow.proto.SessionMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SignatureDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SourceFile.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SourceMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.StackFrameWithId.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.StatusProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.StepStats.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Struct.DictValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Struct.ListValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Struct.PairValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass
getDescriptorForType() - Method in class org.tensorflow.proto.Summary.Audio.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Summary.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Summary.Image.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.Summary.Value.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SummaryDescription.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SummaryMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TensorConnection.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.TensorDebugMode
getDescriptorForType() - Method in class org.tensorflow.proto.TensorDescription.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TensorInfo.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TensorProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TensorShapeProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TensorSliceProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.TestResults.BenchmarkType
getDescriptorForType() - Method in class org.tensorflow.proto.TestResults.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.ValuesDef.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.VariableAggregation
getDescriptorForType() - Method in class org.tensorflow.proto.VariableDef.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.VariableSynchronization
getDescriptorForType() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.VerifierConfig.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.VerifierConfig.Toggle
getDescriptorForType() - Method in class org.tensorflow.proto.VersionDef.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.WatchdogConfig.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.WhileContextDef.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.WorkerHealth
getDescriptorForType() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
getDescriptorForType() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
getDescriptorForType() - Method in enum org.tensorflow.proto.WorkerShutdownMode
getDestination() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Destination of graph transfer
getDestination() - Method in class org.tensorflow.proto.GraphTransferInfo: Destination of graph transfer
getDestination() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: Destination of graph transfer
getDestinationValue() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Destination of graph transfer
getDestinationValue() - Method in class org.tensorflow.proto.GraphTransferInfo: Destination of graph transfer
getDestinationValue() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: Destination of graph transfer
getDeterministic() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool deterministic = 1;
getDeterministic() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: bool deterministic = 1;
getDeterministic() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: bool deterministic = 1;
getDevice() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The device of the node.
getDevice() - Method in class org.tensorflow.proto.CostGraphDef.Node: The device of the node.
getDevice() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: The device of the node.
getDevice() - Method in class org.tensorflow.proto.DeviceStepStats.Builder: string device = 1;
getDevice() - Method in class org.tensorflow.proto.DeviceStepStats: string device = 1;
getDevice() - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: string device = 1;
getDevice() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Device where the tensor is located.
getDevice() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: Device where the tensor is located.
getDevice() - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: Device where the tensor is located.
getDevice() - Method in class org.tensorflow.proto.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
getDevice() - Method in class org.tensorflow.proto.NodeDef: A (possibly partial) specification for the device on which this node should be placed.
getDevice() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: A (possibly partial) specification for the device on which this node should be placed.
getDevice() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Device on which the operation is run.
getDevice() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Device on which the operation is run.
getDevice() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Device on which the operation is run.
getDevice() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Unique name for the device containing the resource.
getDevice() - Method in class org.tensorflow.proto.ResourceHandleProto: Unique name for the device containing the resource.
getDevice() - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: Unique name for the device containing the resource.
getDevice() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder: A device specification indicating a required placement for the resource creation function, e.g.
getDevice() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource: A device specification indicating a required placement for the resource creation function, e.g.
getDevice() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResourceOrBuilder: A device specification indicating a required placement for the resource creation function, e.g.
getDevice() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: string device = 7;
getDevice() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: string device = 7;
getDevice() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: string device = 7;
getDeviceBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Device on which the operation is run.
getDeviceBytes() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The device of the node.
getDeviceBytes() - Method in class org.tensorflow.proto.CostGraphDef.Node: The device of the node.
getDeviceBytes() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: The device of the node.
getDeviceBytes() - Method in class org.tensorflow.proto.DeviceStepStats.Builder: string device = 1;
getDeviceBytes() - Method in class org.tensorflow.proto.DeviceStepStats: string device = 1;
getDeviceBytes() - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: string device = 1;
getDeviceBytes() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Device where the tensor is located.
getDeviceBytes() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: Device where the tensor is located.
getDeviceBytes() - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: Device where the tensor is located.
getDeviceBytes() - Method in class org.tensorflow.proto.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
getDeviceBytes() - Method in class org.tensorflow.proto.NodeDef: A (possibly partial) specification for the device on which this node should be placed.
getDeviceBytes() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: A (possibly partial) specification for the device on which this node should be placed.
getDeviceBytes() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Unique name for the device containing the resource.
getDeviceBytes() - Method in class org.tensorflow.proto.ResourceHandleProto: Unique name for the device containing the resource.
getDeviceBytes() - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: Unique name for the device containing the resource.
getDeviceBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder: A device specification indicating a required placement for the resource creation function, e.g.
getDeviceBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource: A device specification indicating a required placement for the resource creation function, e.g.
getDeviceBytes() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResourceOrBuilder: A device specification indicating a required placement for the resource creation function, e.g.
getDeviceBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: string device = 7;
getDeviceBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: string device = 7;
getDeviceBytes() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: string device = 7;
getDeviceCount() - Method in class org.tensorflow.proto.ConfigProto.Builder: Deprecated.
getDeviceCount() - Method in class org.tensorflow.proto.ConfigProto: Deprecated.
getDeviceCount() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Deprecated.
getDeviceCountCount() - Method in class org.tensorflow.proto.ConfigProto.Builder
getDeviceCountCount() - Method in class org.tensorflow.proto.ConfigProto
getDeviceCountCount() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountMap() - Method in class org.tensorflow.proto.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountMap() - Method in class org.tensorflow.proto.ConfigProto: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountMap() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrDefault(String, int) - Method in class org.tensorflow.proto.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrDefault(String, int) - Method in class org.tensorflow.proto.ConfigProto: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrDefault(String, int) - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrThrow(String) - Method in class org.tensorflow.proto.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrThrow(String) - Method in class org.tensorflow.proto.ConfigProto: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceCountOrThrow(String) - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
getDeviceFilters(int) - Method in class org.tensorflow.proto.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFilters(int) - Method in class org.tensorflow.proto.ConfigProto: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFilters(int) - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFilters(int) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder: repeated string device_filters = 1;
getDeviceFilters(int) - Method in class org.tensorflow.proto.TaskDeviceFilters: repeated string device_filters = 1;
getDeviceFilters(int) - Method in interface org.tensorflow.proto.TaskDeviceFiltersOrBuilder: repeated string device_filters = 1;
getDeviceFiltersBytes(int) - Method in class org.tensorflow.proto.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersBytes(int) - Method in class org.tensorflow.proto.ConfigProto: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersBytes(int) - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersBytes(int) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder: repeated string device_filters = 1;
getDeviceFiltersBytes(int) - Method in class org.tensorflow.proto.TaskDeviceFilters: repeated string device_filters = 1;
getDeviceFiltersBytes(int) - Method in interface org.tensorflow.proto.TaskDeviceFiltersOrBuilder: repeated string device_filters = 1;
getDeviceFiltersCount() - Method in class org.tensorflow.proto.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersCount() - Method in class org.tensorflow.proto.ConfigProto: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersCount() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersCount() - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder: repeated string device_filters = 1;
getDeviceFiltersCount() - Method in class org.tensorflow.proto.TaskDeviceFilters: repeated string device_filters = 1;
getDeviceFiltersCount() - Method in interface org.tensorflow.proto.TaskDeviceFiltersOrBuilder: repeated string device_filters = 1;
getDeviceFiltersList() - Method in class org.tensorflow.proto.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersList() - Method in class org.tensorflow.proto.ConfigProto: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersList() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: When any filters are present sessions will ignore all devices which do not match the filters.
getDeviceFiltersList() - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder: repeated string device_filters = 1;
getDeviceFiltersList() - Method in class org.tensorflow.proto.TaskDeviceFilters: repeated string device_filters = 1;
getDeviceFiltersList() - Method in interface org.tensorflow.proto.TaskDeviceFiltersOrBuilder: repeated string device_filters = 1;
getDeviceId() - Method in class org.tensorflow.proto.DebuggedDevice.Builder: A debugger-generated ID for the device.
getDeviceId() - Method in class org.tensorflow.proto.DebuggedDevice: A debugger-generated ID for the device.
getDeviceId() - Method in interface org.tensorflow.proto.DebuggedDeviceOrBuilder: A debugger-generated ID for the device.
getDeviceId() - Method in class org.tensorflow.proto.InterconnectLink.Builder: int32 device_id = 1;
getDeviceId() - Method in class org.tensorflow.proto.InterconnectLink: int32 device_id = 1;
getDeviceId() - Method in interface org.tensorflow.proto.InterconnectLinkOrBuilder: int32 device_id = 1;
getDeviceInfo(int) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfo(int) - Method in class org.tensorflow.proto.MachineConfiguration: Other devices that are attached and relevant (e.g.
getDeviceInfo(int) - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Other devices that are attached and relevant (e.g.
getDeviceInfoBuilder(int) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfoBuilderList() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfoCount() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfoCount() - Method in class org.tensorflow.proto.MachineConfiguration: Other devices that are attached and relevant (e.g.
getDeviceInfoCount() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Other devices that are attached and relevant (e.g.
getDeviceInfoList() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfoList() - Method in class org.tensorflow.proto.MachineConfiguration: Other devices that are attached and relevant (e.g.
getDeviceInfoList() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Other devices that are attached and relevant (e.g.
getDeviceInfoOrBuilder(int) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfoOrBuilder(int) - Method in class org.tensorflow.proto.MachineConfiguration: Other devices that are attached and relevant (e.g.
getDeviceInfoOrBuilder(int) - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Other devices that are attached and relevant (e.g.
getDeviceInfoOrBuilderList() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
getDeviceInfoOrBuilderList() - Method in class org.tensorflow.proto.MachineConfiguration: Other devices that are attached and relevant (e.g.
getDeviceInfoOrBuilderList() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Other devices that are attached and relevant (e.g.
getDeviceName() - Method in class org.tensorflow.proto.DebuggedDevice.Builder: Name of the device.
getDeviceName() - Method in class org.tensorflow.proto.DebuggedDevice: Name of the device.
getDeviceName() - Method in interface org.tensorflow.proto.DebuggedDeviceOrBuilder: Name of the device.
getDeviceName() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Name of the device that the op belongs to.
getDeviceName() - Method in class org.tensorflow.proto.GraphExecutionTrace: Name of the device that the op belongs to.
getDeviceName() - Method in interface org.tensorflow.proto.GraphExecutionTraceOrBuilder: Name of the device that the op belongs to.
getDeviceName() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the device that the op is assigned to (if available).
getDeviceName() - Method in class org.tensorflow.proto.GraphOpCreation: Name of the device that the op is assigned to (if available).
getDeviceName() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Name of the device that the op is assigned to (if available).
getDeviceNameBytes() - Method in class org.tensorflow.proto.DebuggedDevice.Builder: Name of the device.
getDeviceNameBytes() - Method in class org.tensorflow.proto.DebuggedDevice: Name of the device.
getDeviceNameBytes() - Method in interface org.tensorflow.proto.DebuggedDeviceOrBuilder: Name of the device.
getDeviceNameBytes() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Name of the device that the op belongs to.
getDeviceNameBytes() - Method in class org.tensorflow.proto.GraphExecutionTrace: Name of the device that the op belongs to.
getDeviceNameBytes() - Method in interface org.tensorflow.proto.GraphExecutionTraceOrBuilder: Name of the device that the op belongs to.
getDeviceNameBytes() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the device that the op is assigned to (if available).
getDeviceNameBytes() - Method in class org.tensorflow.proto.GraphOpCreation: Name of the device that the op is assigned to (if available).
getDeviceNameBytes() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Name of the device that the op is assigned to (if available).
getDeviceOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Device on which the operation is run.
getDeviceOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Device on which the operation is run.
getDeviceOrBuilder() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Device on which the operation is run.
getDeviceOrdinal(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Virtual Device ordinal number determines the device ID of the device.
getDeviceOrdinal(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices: Virtual Device ordinal number determines the device ID of the device.
getDeviceOrdinal(int) - Method in interface org.tensorflow.proto.GPUOptions.Experimental.VirtualDevicesOrBuilder: Virtual Device ordinal number determines the device ID of the device.
getDeviceOrdinalCount() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Virtual Device ordinal number determines the device ID of the device.
getDeviceOrdinalCount() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices: Virtual Device ordinal number determines the device ID of the device.
getDeviceOrdinalCount() - Method in interface org.tensorflow.proto.GPUOptions.Experimental.VirtualDevicesOrBuilder: Virtual Device ordinal number determines the device ID of the device.
getDeviceOrdinalList() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Virtual Device ordinal number determines the device ID of the device.
getDeviceOrdinalList() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices: Virtual Device ordinal number determines the device ID of the device.
getDeviceOrdinalList() - Method in interface org.tensorflow.proto.GPUOptions.Experimental.VirtualDevicesOrBuilder: Virtual Device ordinal number determines the device ID of the device.
getDevicePersistentMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: Deprecated.
tensorflow.OpPerformance.OpMemory.device_persistent_memory is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=115
getDevicePersistentMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory: Deprecated.
tensorflow.OpPerformance.OpMemory.device_persistent_memory is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=115
getDevicePersistentMemory() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemoryOrBuilder: Deprecated.
tensorflow.OpPerformance.OpMemory.device_persistent_memory is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=115
getDevicePersistentMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Deprecated.
tensorflow.CostGraphDef.Node.device_persistent_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=54
getDevicePersistentMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node: Deprecated.
tensorflow.CostGraphDef.Node.device_persistent_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=54
getDevicePersistentMemorySize() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: Deprecated.
tensorflow.CostGraphDef.Node.device_persistent_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=54
getDevicePersistentMemorySize() - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_persistent_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=49
getDevicePersistentMemorySize() - Method in class org.tensorflow.proto.MemoryStats: Deprecated.
tensorflow.MemoryStats.device_persistent_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=49
getDevicePersistentMemorySize() - Method in interface org.tensorflow.proto.MemoryStatsOrBuilder: Deprecated.
tensorflow.MemoryStats.device_persistent_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=49
getDevicePersistentTensorAllocIds(int) - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
getDevicePersistentTensorAllocIds(int) - Method in class org.tensorflow.proto.MemoryStats: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
getDevicePersistentTensorAllocIds(int) - Method in interface org.tensorflow.proto.MemoryStatsOrBuilder: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
getDevicePersistentTensorAllocIdsCount() - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
getDevicePersistentTensorAllocIdsCount() - Method in class org.tensorflow.proto.MemoryStats: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
getDevicePersistentTensorAllocIdsCount() - Method in interface org.tensorflow.proto.MemoryStatsOrBuilder: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
getDevicePersistentTensorAllocIdsList() - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
getDevicePersistentTensorAllocIdsList() - Method in class org.tensorflow.proto.MemoryStats: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
getDevicePersistentTensorAllocIdsList() - Method in interface org.tensorflow.proto.MemoryStatsOrBuilder: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
getDeviceString() - Method in class org.tensorflow.op.NativeScope
getDeviceString() - Method in class org.tensorflow.op.OpScope
getDeviceString() - Method in interface org.tensorflow.op.Scope: Returns device string from the scope.
getDeviceTempMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: Deprecated.
tensorflow.OpPerformance.OpMemory.device_temp_memory is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=114
getDeviceTempMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory: Deprecated.
tensorflow.OpPerformance.OpMemory.device_temp_memory is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=114
getDeviceTempMemory() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemoryOrBuilder: Deprecated.
tensorflow.OpPerformance.OpMemory.device_temp_memory is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=114
getDeviceTempMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Deprecated.
tensorflow.CostGraphDef.Node.device_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=53
getDeviceTempMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node: Deprecated.
tensorflow.CostGraphDef.Node.device_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=53
getDeviceTempMemorySize() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: Deprecated.
tensorflow.CostGraphDef.Node.device_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=53
getDeviceTempMemorySize() - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_temp_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=48
getDeviceTempMemorySize() - Method in class org.tensorflow.proto.MemoryStats: Deprecated.
tensorflow.MemoryStats.device_temp_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=48
getDeviceTempMemorySize() - Method in interface org.tensorflow.proto.MemoryStatsOrBuilder: Deprecated.
tensorflow.MemoryStats.device_temp_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=48
getDeviceTracerLevel() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Levels of device tracing: (version >= 1) - Level 0 is used to disable device traces. - Level 1 is used to enable device traces. - More levels might be defined for specific device for controlling the verbosity of the trace.
getDeviceTracerLevel() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions: Levels of device tracing: (version >= 1) - Level 0 is used to disable device traces. - Level 1 is used to enable device traces. - More levels might be defined for specific device for controlling the verbosity of the trace.
getDeviceTracerLevel() - Method in interface org.tensorflow.proto.ProfilerOptions.ProfileOptionsOrBuilder: Levels of device tracing: (version >= 1) - Level 0 is used to disable device traces. - Level 1 is used to enable device traces. - More levels might be defined for specific device for controlling the verbosity of the trace.
getDeviceType() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: String representation of device_type.
getDeviceType() - Method in class org.tensorflow.proto.DeviceAttributes: String representation of device_type.
getDeviceType() - Method in interface org.tensorflow.proto.DeviceAttributesOrBuilder: String representation of device_type.
getDeviceType() - Method in class org.tensorflow.proto.KernelDef.Builder: Type of device this kernel runs on.
getDeviceType() - Method in class org.tensorflow.proto.KernelDef: Type of device this kernel runs on.
getDeviceType() - Method in interface org.tensorflow.proto.KernelDefOrBuilder: Type of device this kernel runs on.
getDeviceType() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
getDeviceType() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
getDeviceType() - Method in interface org.tensorflow.proto.ProfilerOptions.ProfileOptionsOrBuilder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
getDeviceTypeBytes() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: String representation of device_type.
getDeviceTypeBytes() - Method in class org.tensorflow.proto.DeviceAttributes: String representation of device_type.
getDeviceTypeBytes() - Method in interface org.tensorflow.proto.DeviceAttributesOrBuilder: String representation of device_type.
getDeviceTypeBytes() - Method in class org.tensorflow.proto.KernelDef.Builder: Type of device this kernel runs on.
getDeviceTypeBytes() - Method in class org.tensorflow.proto.KernelDef: Type of device this kernel runs on.
getDeviceTypeBytes() - Method in interface org.tensorflow.proto.KernelDefOrBuilder: Type of device this kernel runs on.
getDeviceTypeValue() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
getDeviceTypeValue() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
getDeviceTypeValue() - Method in interface org.tensorflow.proto.ProfilerOptions.ProfileOptionsOrBuilder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
getDevStats(int) - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStats(int) - Method in class org.tensorflow.proto.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStats(int) - Method in interface org.tensorflow.proto.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsBuilder(int) - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsBuilderList() - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsCount() - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsCount() - Method in class org.tensorflow.proto.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsCount() - Method in interface org.tensorflow.proto.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsList() - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsList() - Method in class org.tensorflow.proto.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsList() - Method in interface org.tensorflow.proto.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilder(int) - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilder(int) - Method in class org.tensorflow.proto.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilder(int) - Method in interface org.tensorflow.proto.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilderList() - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilderList() - Method in class org.tensorflow.proto.StepStats: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDevStatsOrBuilderList() - Method in interface org.tensorflow.proto.StepStatsOrBuilder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
getDictValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a dict `Value`.
getDictValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a dict `Value`.
getDictValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a dict `Value`.
getDictValueBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a dict `Value`.
getDictValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a dict `Value`.
getDictValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a dict `Value`.
getDictValueOrBuilder() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a dict `Value`.
getDim(int) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDim(int) - Method in class org.tensorflow.proto.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDim(int) - Method in interface org.tensorflow.proto.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimBuilder(int) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimBuilderList() - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimCount() - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimCount() - Method in class org.tensorflow.proto.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimCount() - Method in interface org.tensorflow.proto.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimension() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder: Aggregated cost dimension (e.g.
getDimension() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost: Aggregated cost dimension (e.g.
getDimension() - Method in interface org.tensorflow.proto.CostGraphDef.AggregatedCostOrBuilder: Aggregated cost dimension (e.g.
getDimensionBytes() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder: Aggregated cost dimension (e.g.
getDimensionBytes() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost: Aggregated cost dimension (e.g.
getDimensionBytes() - Method in interface org.tensorflow.proto.CostGraphDef.AggregatedCostOrBuilder: Aggregated cost dimension (e.g.
getDimList() - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimList() - Method in class org.tensorflow.proto.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimList() - Method in interface org.tensorflow.proto.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilder(int) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilder(int) - Method in class org.tensorflow.proto.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilder(int) - Method in interface org.tensorflow.proto.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilderList() - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilderList() - Method in class org.tensorflow.proto.TensorShapeProto: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDimOrBuilderList() - Method in interface org.tensorflow.proto.TensorShapeProtoOrBuilder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
getDisableEagerExecutorStreamingEnqueue() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether eager remote execution will stream all the function calls or allow them to happen in parallel.
getDisableEagerExecutorStreamingEnqueue() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Whether eager remote execution will stream all the function calls or allow them to happen in parallel.
getDisableEagerExecutorStreamingEnqueue() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Whether eager remote execution will stream all the function calls or allow them to happen in parallel.
getDisableFunctionalOpsLowering() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether functional control flow op lowering should be disabled.
getDisableFunctionalOpsLowering() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Whether functional control flow op lowering should be disabled.
getDisableFunctionalOpsLowering() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Whether functional control flow op lowering should be disabled.
getDisableMetaOptimizer() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Disable the entire meta optimizer (off by default).
getDisableMetaOptimizer() - Method in class org.tensorflow.proto.RewriterConfig: Disable the entire meta optimizer (off by default).
getDisableMetaOptimizer() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Disable the entire meta optimizer (off by default).
getDisableModelPruning() - Method in class org.tensorflow.proto.RewriterConfig.Builder: If true, don't remove unnecessary ops from the graph
getDisableModelPruning() - Method in class org.tensorflow.proto.RewriterConfig: If true, don't remove unnecessary ops from the graph
getDisableModelPruning() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: If true, don't remove unnecessary ops from the graph
getDisableOptimizeForStaticGraph() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, the session will treat the graph as being non-static for optimization purposes.
getDisableOptimizeForStaticGraph() - Method in class org.tensorflow.proto.ConfigProto.Experimental: If true, the session will treat the graph as being non-static for optimization purposes.
getDisableOptimizeForStaticGraph() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: If true, the session will treat the graph as being non-static for optimization purposes.
getDisableOutputPartitionGraphs() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, the session will not store an additional copy of the graph for each subgraph.
getDisableOutputPartitionGraphs() - Method in class org.tensorflow.proto.ConfigProto.Experimental: If true, the session will not store an additional copy of the graph for each subgraph.
getDisableOutputPartitionGraphs() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: If true, the session will not store an additional copy of the graph for each subgraph.
getDisableSessionConnectionSharing() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: Disables TCP connection sharing when opening a new RPC channel.
getDisableSessionConnectionSharing() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions: Disables TCP connection sharing when opening a new RPC channel.
getDisableSessionConnectionSharing() - Method in interface org.tensorflow.proto.RpcOptions.RPCOptionsOrBuilder: Disables TCP connection sharing when opening a new RPC channel.
getDisableTfgOptimizer() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Disable the TFG optimizer (off by default).
getDisableTfgOptimizer() - Method in class org.tensorflow.proto.RewriterConfig: Disable the TFG optimizer (off by default).
getDisableTfgOptimizer() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Disable the TFG optimizer (off by default).
getDisableThreadSpinning() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If using a direct session, disable spinning while waiting for work in the thread pool.
getDisableThreadSpinning() - Method in class org.tensorflow.proto.ConfigProto.Experimental: If using a direct session, disable spinning while waiting for work in the thread pool.
getDisableThreadSpinning() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: If using a direct session, disable spinning while waiting for work in the thread pool.
getDisallowRetryOnAllocationFailure() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: By default, BFCAllocator may sleep when it runs out of memory, in the hopes that another thread will free up memory in the meantime.
getDisallowRetryOnAllocationFailure() - Method in class org.tensorflow.proto.GPUOptions.Experimental: By default, BFCAllocator may sleep when it runs out of memory, in the hopes that another thread will free up memory in the meantime.
getDisallowRetryOnAllocationFailure() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: By default, BFCAllocator may sleep when it runs out of memory, in the hopes that another thread will free up memory in the meantime.
getDispatcherAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the dispatcher to register with.
getDispatcherAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The address of the dispatcher to register with.
getDispatcherAddress() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The address of the dispatcher to register with.
getDispatcherAddressBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the dispatcher to register with.
getDispatcherAddressBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The address of the dispatcher to register with.
getDispatcherAddressBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The address of the dispatcher to register with.
getDispatcherTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: How long to retry requests to the dispatcher before giving up and reporting an error.
getDispatcherTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: How long to retry requests to the dispatcher before giving up and reporting an error.
getDispatcherTimeoutMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: How long to retry requests to the dispatcher before giving up and reporting an error.
getDisplayId() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Display id of this line.
getDisplayId() - Method in class org.tensorflow.proto.profiler.Xplane.XLine: Display id of this line.
getDisplayId() - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: Display id of this line.
getDisplayName() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Name of the event shown in trace viewer.
getDisplayName() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: Name of the event shown in trace viewer.
getDisplayName() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: Name of the event shown in trace viewer.
getDisplayName() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Name of this XLine to display in trace viewer.
getDisplayName() - Method in class org.tensorflow.proto.profiler.Xplane.XLine: Name of this XLine to display in trace viewer.
getDisplayName() - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: Name of this XLine to display in trace viewer.
getDisplayName() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
getDisplayName() - Method in class org.tensorflow.proto.SummaryMetadata: Display name for viewing in TensorBoard.
getDisplayName() - Method in interface org.tensorflow.proto.SummaryMetadataOrBuilder: Display name for viewing in TensorBoard.
getDisplayNameBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Name of the event shown in trace viewer.
getDisplayNameBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: Name of the event shown in trace viewer.
getDisplayNameBytes() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: Name of the event shown in trace viewer.
getDisplayNameBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Name of this XLine to display in trace viewer.
getDisplayNameBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XLine: Name of this XLine to display in trace viewer.
getDisplayNameBytes() - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: Name of this XLine to display in trace viewer.
getDisplayNameBytes() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
getDisplayNameBytes() - Method in class org.tensorflow.proto.SummaryMetadata: Display name for viewing in TensorBoard.
getDisplayNameBytes() - Method in interface org.tensorflow.proto.SummaryMetadataOrBuilder: Display name for viewing in TensorBoard.
getDistributeOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The distribution strategy options associated with the dataset.
getDistributeOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The distribution strategy options associated with the dataset.
getDistributeOptions() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The distribution strategy options associated with the dataset.
getDistributeOptionsBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The distribution strategy options associated with the dataset.
getDistributeOptionsOrBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The distribution strategy options associated with the dataset.
getDistributeOptionsOrBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The distribution strategy options associated with the dataset.
getDistributeOptionsOrBuilder() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The distribution strategy options associated with the dataset.
getDoCommonSubexpressionElimination() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: If true, optimize the graph using common subexpression elimination.
getDoCommonSubexpressionElimination() - Method in class org.tensorflow.proto.OptimizerOptions: If true, optimize the graph using common subexpression elimination.
getDoCommonSubexpressionElimination() - Method in interface org.tensorflow.proto.OptimizerOptionsOrBuilder: If true, optimize the graph using common subexpression elimination.
getDoConstantFolding() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: If true, perform constant folding optimization on the graph.
getDoConstantFolding() - Method in class org.tensorflow.proto.OptimizerOptions: If true, perform constant folding optimization on the graph.
getDoConstantFolding() - Method in interface org.tensorflow.proto.OptimizerOptionsOrBuilder: If true, perform constant folding optimization on the graph.
getDoFunctionInlining() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: If true, perform function inlining on the graph.
getDoFunctionInlining() - Method in class org.tensorflow.proto.OptimizerOptions: If true, perform function inlining on the graph.
getDoFunctionInlining() - Method in interface org.tensorflow.proto.OptimizerOptionsOrBuilder: If true, perform function inlining on the graph.
getDoubleVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_DOUBLE.
getDoubleVal(int) - Method in class org.tensorflow.proto.TensorProto: DT_DOUBLE.
getDoubleVal(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_DOUBLE.
getDoubleValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_DOUBLE.
getDoubleValCount() - Method in class org.tensorflow.proto.TensorProto: DT_DOUBLE.
getDoubleValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_DOUBLE.
getDoubleValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_DOUBLE.
getDoubleValList() - Method in class org.tensorflow.proto.TensorProto: DT_DOUBLE.
getDoubleValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_DOUBLE.
getDoubleValue() - Method in class org.tensorflow.proto.EntryValue.Builder: double double_value = 1;
getDoubleValue() - Method in class org.tensorflow.proto.EntryValue: double double_value = 1;
getDoubleValue() - Method in interface org.tensorflow.proto.EntryValueOrBuilder: double double_value = 1;
getDoubleValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: double double_value = 2;
getDoubleValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: double double_value = 2;
getDoubleValue() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: double double_value = 2;
getDtype() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: The tensor dtype and shape.
getDtype() - Method in class org.tensorflow.proto.BundleEntryProto: The tensor dtype and shape.
getDtype() - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: The tensor dtype and shape.
getDtype() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.DataType dtype = 2;
getDtype() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType: .tensorflow.DataType dtype = 2;
getDtype() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndTypeOrBuilder: .tensorflow.DataType dtype = 2;
getDtype() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
getDtype() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo: .tensorflow.DataType dtype = 4;
getDtype() - Method in interface org.tensorflow.proto.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.DataType dtype = 4;
getDtype() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The dtype of the component tensor.
getDtype() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata: The dtype of the component tensor.
getDtype() - Method in interface org.tensorflow.proto.data.Dataset.CompressedComponentMetadataOrBuilder: The dtype of the component tensor.
getDtype() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Tensor type.
getDtype() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: Tensor type.
getDtype() - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: Tensor type.
getDtype() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape: .tensorflow.DataType dtype = 1;
getDtype() - Method in interface org.tensorflow.proto.eager.ResourceDtypeAndShapeOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.FixedLenFeatureProto: .tensorflow.DataType dtype = 1;
getDtype() - Method in interface org.tensorflow.proto.FixedLenFeatureProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
getDtype() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo: .tensorflow.DataType dtype = 5;
getDtype() - Method in interface org.tensorflow.proto.GraphTransferConstNodeInfoOrBuilder: .tensorflow.DataType dtype = 5;
getDtype() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo: .tensorflow.DataType dtype = 3;
getDtype() - Method in interface org.tensorflow.proto.GraphTransferGraphInputNodeInfoOrBuilder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo: .tensorflow.DataType dtype = 3;
getDtype() - Method in interface org.tensorflow.proto.GraphTransferGraphOutputNodeInfoOrBuilder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties: .tensorflow.DataType dtype = 1;
getDtype() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfo.TensorPropertiesOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Data type of the tensor.
getDtype() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape: Data type of the tensor.
getDtype() - Method in interface org.tensorflow.proto.ResourceHandleProto.DtypeAndShapeOrBuilder: Data type of the tensor.
getDtype() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: .tensorflow.DataType dtype = 1;
getDtype() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: .tensorflow.DataType dtype = 3;
getDtype() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.Struct.TensorSpecProto: .tensorflow.DataType dtype = 3;
getDtype() - Method in interface org.tensorflow.proto.Struct.TensorSpecProtoOrBuilder: .tensorflow.DataType dtype = 3;
getDtype() - Method in class org.tensorflow.proto.TensorDescription.Builder: Data type of tensor elements
getDtype() - Method in class org.tensorflow.proto.TensorDescription: Data type of tensor elements
getDtype() - Method in interface org.tensorflow.proto.TensorDescriptionOrBuilder: Data type of tensor elements
getDtype() - Method in class org.tensorflow.proto.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
getDtype() - Method in class org.tensorflow.proto.TensorInfo: .tensorflow.DataType dtype = 2;
getDtype() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: .tensorflow.DataType dtype = 2;
getDtype() - Method in class org.tensorflow.proto.TensorProto.Builder: Data type of the tensor.
getDtype() - Method in class org.tensorflow.proto.TensorProto: Data type of the tensor.
getDtype() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: Data type of the tensor.
getDtype() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
getDtype() - Method in class org.tensorflow.proto.VarLenFeatureProto: .tensorflow.DataType dtype = 1;
getDtype() - Method in interface org.tensorflow.proto.VarLenFeatureProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtype(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
getDtype(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: A list of tensor dtype corresponding to each element of the snapshot.
getDtype(int) - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeCount() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeCount() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeCount() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeList() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypesAndShapes(int) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapes(int) - Method in class org.tensorflow.proto.ResourceHandleProto: Data types and shapes for the underlying resource.
getDtypesAndShapes(int) - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: Data types and shapes for the underlying resource.
getDtypesAndShapesBuilder(int) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapesBuilderList() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapesCount() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapesCount() - Method in class org.tensorflow.proto.ResourceHandleProto: Data types and shapes for the underlying resource.
getDtypesAndShapesCount() - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: Data types and shapes for the underlying resource.
getDtypesAndShapesList() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapesList() - Method in class org.tensorflow.proto.ResourceHandleProto: Data types and shapes for the underlying resource.
getDtypesAndShapesList() - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: Data types and shapes for the underlying resource.
getDtypesAndShapesOrBuilder(int) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapesOrBuilder(int) - Method in class org.tensorflow.proto.ResourceHandleProto: Data types and shapes for the underlying resource.
getDtypesAndShapesOrBuilder(int) - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: Data types and shapes for the underlying resource.
getDtypesAndShapesOrBuilderList() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
getDtypesAndShapesOrBuilderList() - Method in class org.tensorflow.proto.ResourceHandleProto: Data types and shapes for the underlying resource.
getDtypesAndShapesOrBuilderList() - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: Data types and shapes for the underlying resource.
getDtypeValue() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: The tensor dtype and shape.
getDtypeValue() - Method in class org.tensorflow.proto.BundleEntryProto: The tensor dtype and shape.
getDtypeValue() - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: The tensor dtype and shape.
getDtypeValue() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.DataType dtype = 2;
getDtypeValue() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType: .tensorflow.DataType dtype = 2;
getDtypeValue() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndTypeOrBuilder: .tensorflow.DataType dtype = 2;
getDtypeValue() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
getDtypeValue() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo: .tensorflow.DataType dtype = 4;
getDtypeValue() - Method in interface org.tensorflow.proto.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.DataType dtype = 4;
getDtypeValue() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The dtype of the component tensor.
getDtypeValue() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata: The dtype of the component tensor.
getDtypeValue() - Method in interface org.tensorflow.proto.data.Dataset.CompressedComponentMetadataOrBuilder: The dtype of the component tensor.
getDtypeValue() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Tensor type.
getDtypeValue() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: Tensor type.
getDtypeValue() - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: Tensor type.
getDtypeValue() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in interface org.tensorflow.proto.eager.ResourceDtypeAndShapeOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.FixedLenFeatureProto: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in interface org.tensorflow.proto.FixedLenFeatureProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
getDtypeValue() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo: .tensorflow.DataType dtype = 5;
getDtypeValue() - Method in interface org.tensorflow.proto.GraphTransferConstNodeInfoOrBuilder: .tensorflow.DataType dtype = 5;
getDtypeValue() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in interface org.tensorflow.proto.GraphTransferGraphInputNodeInfoOrBuilder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in interface org.tensorflow.proto.GraphTransferGraphOutputNodeInfoOrBuilder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfo.TensorPropertiesOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Data type of the tensor.
getDtypeValue() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape: Data type of the tensor.
getDtypeValue() - Method in interface org.tensorflow.proto.ResourceHandleProto.DtypeAndShapeOrBuilder: Data type of the tensor.
getDtypeValue() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.Struct.TensorSpecProto: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in interface org.tensorflow.proto.Struct.TensorSpecProtoOrBuilder: .tensorflow.DataType dtype = 3;
getDtypeValue() - Method in class org.tensorflow.proto.TensorDescription.Builder: Data type of tensor elements
getDtypeValue() - Method in class org.tensorflow.proto.TensorDescription: Data type of tensor elements
getDtypeValue() - Method in interface org.tensorflow.proto.TensorDescriptionOrBuilder: Data type of tensor elements
getDtypeValue() - Method in class org.tensorflow.proto.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
getDtypeValue() - Method in class org.tensorflow.proto.TensorInfo: .tensorflow.DataType dtype = 2;
getDtypeValue() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: .tensorflow.DataType dtype = 2;
getDtypeValue() - Method in class org.tensorflow.proto.TensorProto.Builder: Data type of the tensor.
getDtypeValue() - Method in class org.tensorflow.proto.TensorProto: Data type of the tensor.
getDtypeValue() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: Data type of the tensor.
getDtypeValue() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in class org.tensorflow.proto.VarLenFeatureProto: .tensorflow.DataType dtype = 1;
getDtypeValue() - Method in interface org.tensorflow.proto.VarLenFeatureProtoOrBuilder: .tensorflow.DataType dtype = 1;
getDtypeValue(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeValue(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeValue(int) - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeValueList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeValueList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: A list of tensor dtype corresponding to each element of the snapshot.
getDtypeValueList() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: A list of tensor dtype corresponding to each element of the snapshot.
getDurationMs() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: The local profiler collects `duration_ms` milliseconds of data.
getDurationMs() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions: The local profiler collects `duration_ms` milliseconds of data.
getDurationMs() - Method in interface org.tensorflow.proto.ProfilerOptions.ProfileOptionsOrBuilder: The local profiler collects `duration_ms` milliseconds of data.
getDurationPs() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: Duration of the event in picoseconds.
getDurationPs() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent: Duration of the event in picoseconds.
getDurationPs() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventOrBuilder: Duration of the event in picoseconds.
getDurationPs() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Profiling duration for this line in picoseconds.
getDurationPs() - Method in class org.tensorflow.proto.profiler.Xplane.XLine: Profiling duration for this line in picoseconds.
getDurationPs() - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: Profiling duration for this line in picoseconds.
getElement(int) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElement(int) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElement(int) - Method in interface org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryOrBuilder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementAtIndex(Operand, Operand, List, List) - Method in class org.tensorflow.op.Ops: Gets the element at the specified index in a dataset.
GetElementAtIndex - Class in org.tensorflow.op.core: Gets the element at the specified index in a dataset.
GetElementAtIndex(Operation) - Constructor for class org.tensorflow.op.core.GetElementAtIndex
GetElementAtIndex.Inputs - Class in org.tensorflow.op.core
getElementBuilder(int) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementBuilderList() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementCount() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementCount() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementCount() - Method in interface org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryOrBuilder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementList() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementList() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementList() - Method in interface org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryOrBuilder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementOrBuilder(int) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementOrBuilder(int) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementOrBuilder(int) - Method in interface org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryOrBuilder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementOrBuilderList() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementOrBuilderList() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementOrBuilderList() - Method in interface org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryOrBuilder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
getElementSpec() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder: Serialized element spec.
getElementSpec() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata: Serialized element spec.
getElementSpec() - Method in interface org.tensorflow.proto.data.DataService.DataServiceMetadataOrBuilder: Serialized element spec.
getElementSpec() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder: The element spec of the snapshotted dataset.
getElementSpec() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata: The element spec of the snapshotted dataset.
getElementSpec() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadataOrBuilder: The element spec of the snapshotted dataset.
getEnable() - Method in class org.tensorflow.proto.AutoParallelOptions.Builder: bool enable = 1;
getEnable() - Method in class org.tensorflow.proto.AutoParallelOptions: bool enable = 1;
getEnable() - Method in interface org.tensorflow.proto.AutoParallelOptionsOrBuilder: bool enable = 1;
getEnableBfloat16Sendrecv() - Method in class org.tensorflow.proto.GraphOptions.Builder: If true, transfer float values between processes as bfloat16.
getEnableBfloat16Sendrecv() - Method in class org.tensorflow.proto.GraphOptions: If true, transfer float values between processes as bfloat16.
getEnableBfloat16Sendrecv() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: If true, transfer float values between processes as bfloat16.
getEnabled() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: bool enabled = 1;
getEnabled() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions: bool enabled = 1;
getEnabled() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder: bool enabled = 1;
getEnableHealthCheck() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Whether to enable the health check mechanism.
getEnableHealthCheck() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: Whether to enable the health check mechanism.
getEnableHealthCheck() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: Whether to enable the health check mechanism.
getEnableHloProto() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Whether serialize hlo_proto when XLA is used.
getEnableHloProto() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions: Whether serialize hlo_proto when XLA is used.
getEnableHloProto() - Method in interface org.tensorflow.proto.ProfilerOptions.ProfileOptionsOrBuilder: Whether serialize hlo_proto when XLA is used.
getEnableMlirBridge() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based TF->XLA bridge.
getEnableMlirBridge() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Whether to enable the MLIR-based TF->XLA bridge.
getEnableMlirBridge() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Whether to enable the MLIR-based TF->XLA bridge.
getEnableMlirGraphOptimization() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based Graph optimizations.
getEnableMlirGraphOptimization() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Whether to enable the MLIR-based Graph optimizations.
getEnableMlirGraphOptimization() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Whether to enable the MLIR-based Graph optimizations.
getEnableMultiHost() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, use Pathways with TFRT API for multi host support.
getEnableMultiHost() - Method in class org.tensorflow.proto.ConfigProto.Experimental: If true, use Pathways with TFRT API for multi host support.
getEnableMultiHost() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: If true, use Pathways with TFRT API for multi host support.
getEnableOp(int) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
getEnableOp(int) - Method in class org.tensorflow.proto.ScopedAllocatorOptions: If present, only perform optimization for these ops.
getEnableOp(int) - Method in interface org.tensorflow.proto.ScopedAllocatorOptionsOrBuilder: If present, only perform optimization for these ops.
getEnableOpBytes(int) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
getEnableOpBytes(int) - Method in class org.tensorflow.proto.ScopedAllocatorOptions: If present, only perform optimization for these ops.
getEnableOpBytes(int) - Method in interface org.tensorflow.proto.ScopedAllocatorOptionsOrBuilder: If present, only perform optimization for these ops.
getEnableOpCount() - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
getEnableOpCount() - Method in class org.tensorflow.proto.ScopedAllocatorOptions: If present, only perform optimization for these ops.
getEnableOpCount() - Method in interface org.tensorflow.proto.ScopedAllocatorOptionsOrBuilder: If present, only perform optimization for these ops.
getEnableOpList() - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
getEnableOpList() - Method in class org.tensorflow.proto.ScopedAllocatorOptions: If present, only perform optimization for these ops.
getEnableOpList() - Method in interface org.tensorflow.proto.ScopedAllocatorOptionsOrBuilder: If present, only perform optimization for these ops.
getEnableRecvScheduling() - Method in class org.tensorflow.proto.GraphOptions.Builder: If true, use control flow to schedule the activation of Recv nodes.
getEnableRecvScheduling() - Method in class org.tensorflow.proto.GraphOptions: If true, use control flow to schedule the activation of Recv nodes.
getEnableRecvScheduling() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: If true, use control flow to schedule the activation of Recv nodes.
getEncodedAudioString() - Method in class org.tensorflow.proto.Summary.Audio.Builder: Encoded audio data and its associated RFC 2045 content type (e.g.
getEncodedAudioString() - Method in class org.tensorflow.proto.Summary.Audio: Encoded audio data and its associated RFC 2045 content type (e.g.
getEncodedAudioString() - Method in interface org.tensorflow.proto.Summary.AudioOrBuilder: Encoded audio data and its associated RFC 2045 content type (e.g.
getEncodedImageString() - Method in class org.tensorflow.proto.Summary.Image.Builder: Image data in encoded format.
getEncodedImageString() - Method in class org.tensorflow.proto.Summary.Image: Image data in encoded format.
getEncodedImageString() - Method in interface org.tensorflow.proto.Summary.ImageOrBuilder: Image data in encoded format.
getEncodingCase() - Method in class org.tensorflow.proto.TensorInfo.Builder
getEncodingCase() - Method in class org.tensorflow.proto.TensorInfo
getEncodingCase() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder
getEndianness() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndianness() - Method in class org.tensorflow.proto.BundleHeaderProto: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndianness() - Method in interface org.tensorflow.proto.BundleHeaderProtoOrBuilder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndiannessValue() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndiannessValue() - Method in class org.tensorflow.proto.BundleHeaderProto: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndiannessValue() - Method in interface org.tensorflow.proto.BundleHeaderProtoOrBuilder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
getEndpoint(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpoint(int) - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpoint(int) - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointBuilder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointBuilderList() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointCount() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointCount() - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointCount() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointList() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointList() - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointList() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilder(int) - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilder(int) - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilderList() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilderList() - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEndpointOrBuilderList() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
getEnqueueOpName(int) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of enqueue operations.
getEnqueueOpName(int) - Method in class org.tensorflow.proto.QueueRunnerDef: A list of enqueue operations.
getEnqueueOpName(int) - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: A list of enqueue operations.
getEnqueueOpNameBytes(int) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of enqueue operations.
getEnqueueOpNameBytes(int) - Method in class org.tensorflow.proto.QueueRunnerDef: A list of enqueue operations.
getEnqueueOpNameBytes(int) - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: A list of enqueue operations.
getEnqueueOpNameCount() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of enqueue operations.
getEnqueueOpNameCount() - Method in class org.tensorflow.proto.QueueRunnerDef: A list of enqueue operations.
getEnqueueOpNameCount() - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: A list of enqueue operations.
getEnqueueOpNameList() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of enqueue operations.
getEnqueueOpNameList() - Method in class org.tensorflow.proto.QueueRunnerDef: A list of enqueue operations.
getEnqueueOpNameList() - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: A list of enqueue operations.
getEntries() - Method in class org.tensorflow.proto.TestResults.Builder: The list of tests or benchmarks in this run.
getEntries() - Method in class org.tensorflow.proto.TestResults: The list of tests or benchmarks in this run.
getEntries() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The list of tests or benchmarks in this run.
getEntriesBuilder() - Method in class org.tensorflow.proto.TestResults.Builder: The list of tests or benchmarks in this run.
getEntriesOrBuilder() - Method in class org.tensorflow.proto.TestResults.Builder: The list of tests or benchmarks in this run.
getEntriesOrBuilder() - Method in class org.tensorflow.proto.TestResults: The list of tests or benchmarks in this run.
getEntriesOrBuilder() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The list of tests or benchmarks in this run.
getEntry(int) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntry(int) - Method in class org.tensorflow.proto.BenchmarkEntries: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntry(int) - Method in interface org.tensorflow.proto.BenchmarkEntriesOrBuilder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryBuilder(int) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryBuilderList() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryCount() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryCount() - Method in class org.tensorflow.proto.BenchmarkEntries: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryCount() - Method in interface org.tensorflow.proto.BenchmarkEntriesOrBuilder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryList() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryList() - Method in class org.tensorflow.proto.BenchmarkEntries: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryList() - Method in interface org.tensorflow.proto.BenchmarkEntriesOrBuilder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryOrBuilder(int) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryOrBuilder(int) - Method in class org.tensorflow.proto.BenchmarkEntries: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryOrBuilder(int) - Method in interface org.tensorflow.proto.BenchmarkEntriesOrBuilder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryOrBuilderList() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryOrBuilderList() - Method in class org.tensorflow.proto.BenchmarkEntries: repeated .tensorflow.BenchmarkEntry entry = 1;
getEntryOrBuilderList() - Method in interface org.tensorflow.proto.BenchmarkEntriesOrBuilder: repeated .tensorflow.BenchmarkEntry entry = 1;
getEnvironment() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Deprecated.
getEnvironment() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Deprecated.
getEnvironment() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Deprecated.
getEnvironmentCount() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
getEnvironmentCount() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
getEnvironmentCount() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
getEnvironmentMap() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
getEnvironmentMap() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
getEnvironmentMap() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
getEnvironmentOrDefault(String, String) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
getEnvironmentOrDefault(String, String) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
getEnvironmentOrDefault(String, String) - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
getEnvironmentOrThrow(String) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
getEnvironmentOrThrow(String) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
getEnvironmentOrThrow(String) - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
getEnvVars() - Method in class org.tensorflow.proto.RunConfiguration.Builder: Deprecated.
getEnvVars() - Method in class org.tensorflow.proto.RunConfiguration: Deprecated.
getEnvVars() - Method in interface org.tensorflow.proto.RunConfigurationOrBuilder: Deprecated.
getEnvVarsCount() - Method in class org.tensorflow.proto.RunConfiguration.Builder
getEnvVarsCount() - Method in class org.tensorflow.proto.RunConfiguration
getEnvVarsCount() - Method in interface org.tensorflow.proto.RunConfigurationOrBuilder: Environment variables used to run the test/benchmark.
getEnvVarsMap() - Method in class org.tensorflow.proto.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
getEnvVarsMap() - Method in class org.tensorflow.proto.RunConfiguration: Environment variables used to run the test/benchmark.
getEnvVarsMap() - Method in interface org.tensorflow.proto.RunConfigurationOrBuilder: Environment variables used to run the test/benchmark.
getEnvVarsOrDefault(String, String) - Method in class org.tensorflow.proto.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
getEnvVarsOrDefault(String, String) - Method in class org.tensorflow.proto.RunConfiguration: Environment variables used to run the test/benchmark.
getEnvVarsOrDefault(String, String) - Method in interface org.tensorflow.proto.RunConfigurationOrBuilder: Environment variables used to run the test/benchmark.
getEnvVarsOrThrow(String) - Method in class org.tensorflow.proto.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
getEnvVarsOrThrow(String) - Method in class org.tensorflow.proto.RunConfiguration: Environment variables used to run the test/benchmark.
getEnvVarsOrThrow(String) - Method in interface org.tensorflow.proto.RunConfigurationOrBuilder: Environment variables used to run the test/benchmark.
getErrors(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Errors (if any) in the generation of planes.
getErrors(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: Errors (if any) in the generation of planes.
getErrors(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: Errors (if any) in the generation of planes.
getErrorsBytes(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Errors (if any) in the generation of planes.
getErrorsBytes(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: Errors (if any) in the generation of planes.
getErrorsBytes(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: Errors (if any) in the generation of planes.
getErrorsCount() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Errors (if any) in the generation of planes.
getErrorsCount() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: Errors (if any) in the generation of planes.
getErrorsCount() - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: Errors (if any) in the generation of planes.
getErrorsList() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Errors (if any) in the generation of planes.
getErrorsList() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: Errors (if any) in the generation of planes.
getErrorsList() - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: Errors (if any) in the generation of planes.
getErrorSource() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder: .tensorflow.core.platform.ErrorSourceProto.ErrorSource error_source = 1;
getErrorSource() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto: .tensorflow.core.platform.ErrorSourceProto.ErrorSource error_source = 1;
getErrorSource() - Method in interface org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProtoOrBuilder: .tensorflow.core.platform.ErrorSourceProto.ErrorSource error_source = 1;
getErrorSourceValue() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder: .tensorflow.core.platform.ErrorSourceProto.ErrorSource error_source = 1;
getErrorSourceValue() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto: .tensorflow.core.platform.ErrorSourceProto.ErrorSource error_source = 1;
getErrorSourceValue() - Method in interface org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProtoOrBuilder: .tensorflow.core.platform.ErrorSourceProto.ErrorSource error_source = 1;
getEventMetadata() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Deprecated.
getEventMetadata() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: Deprecated.
getEventMetadata() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: Deprecated.
getEventMetadataCount() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
getEventMetadataCount() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
getEventMetadataCount() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataMap() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataMap() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataMap() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataOrDefault(long, Xplane.XEventMetadata) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataOrDefault(long, Xplane.XEventMetadata) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataOrDefault(long, Xplane.XEventMetadata) - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataOrThrow(long) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataOrThrow(long) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEventMetadataOrThrow(long) - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
getEvents(int) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEvents(int) - Method in class org.tensorflow.proto.profiler.Xplane.XLine: XEvents within the same XLine should not overlap in time, but they can be nested.
getEvents(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsCount() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsCount() - Method in class org.tensorflow.proto.profiler.Xplane.XLine: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsCount() - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsList() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsList() - Method in class org.tensorflow.proto.profiler.Xplane.XLine: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsList() - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XLine: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsOrBuilder(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsOrBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsOrBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XLine: XEvents within the same XLine should not overlap in time, but they can be nested.
getEventsOrBuilderList() - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: XEvents within the same XLine should not overlap in time, but they can be nested.
getExecution() - Method in class org.tensorflow.proto.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
getExecution() - Method in class org.tensorflow.proto.DebugEvent: Execution of an op or a Graph (e.g., a tf.function).
getExecution() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: Execution of an op or a Graph (e.g., a tf.function).
getExecutionBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
getExecutionOrBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
getExecutionOrBuilder() - Method in class org.tensorflow.proto.DebugEvent: Execution of an op or a Graph (e.g., a tf.function).
getExecutionOrBuilder() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: Execution of an op or a Graph (e.g., a tf.function).
getExecutionTimeCase() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
getExecutionTimeCase() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
getExecutionTimeCase() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder
getExecutionTimeLogNormal() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeLogNormal() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeLogNormal() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeLogNormalBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeLogNormalOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeLogNormalOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeLogNormalOrBuilder() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
getExecutionTimeNormal() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutionTimeNormal() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutionTimeNormal() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutionTimeNormalBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutionTimeNormalOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutionTimeNormalOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutionTimeNormalOrBuilder() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: .tensorflow.NormalDistribution execution_time_normal = 10;
getExecutorType() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
getExecutorType() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
getExecutorType() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
getExecutorTypeBytes() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
getExecutorTypeBytes() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
getExecutorTypeBytes() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
getExitCode() - Method in class org.tensorflow.proto.RequestedExitCode.Builder: int32 exit_code = 1;
getExitCode() - Method in class org.tensorflow.proto.RequestedExitCode: int32 exit_code = 1;
getExitCode() - Method in interface org.tensorflow.proto.RequestedExitCodeOrBuilder: int32 exit_code = 1;
getExitCode() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
getExitCode() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest: .tensorflow.RequestedExitCode exit_code = 3;
getExitCode() - Method in interface org.tensorflow.proto.WorkerHeartbeatRequestOrBuilder: .tensorflow.RequestedExitCode exit_code = 3;
getExitCodeBuilder() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
getExitCodeOrBuilder() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
getExitCodeOrBuilder() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest: .tensorflow.RequestedExitCode exit_code = 3;
getExitCodeOrBuilder() - Method in interface org.tensorflow.proto.WorkerHeartbeatRequestOrBuilder: .tensorflow.RequestedExitCode exit_code = 3;
getExperimental() - Method in class org.tensorflow.proto.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimental() - Method in class org.tensorflow.proto.ConfigProto: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimental() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimental() - Method in class org.tensorflow.proto.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimental() - Method in class org.tensorflow.proto.GPUOptions: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimental() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimental() - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimental() - Method in class org.tensorflow.proto.RunOptions: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimental() - Method in interface org.tensorflow.proto.RunOptionsOrBuilder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalBuilder() - Method in class org.tensorflow.proto.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimentalBuilder() - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalConditionalCodeMotion() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Conditional code motion (default is ON).
getExperimentalConditionalCodeMotion() - Method in class org.tensorflow.proto.RewriterConfig: Conditional code motion (default is ON).
getExperimentalConditionalCodeMotion() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Conditional code motion (default is ON).
getExperimentalConditionalCodeMotionValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Conditional code motion (default is ON).
getExperimentalConditionalCodeMotionValue() - Method in class org.tensorflow.proto.RewriterConfig: Conditional code motion (default is ON).
getExperimentalConditionalCodeMotionValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Conditional code motion (default is ON).
getExperimentalDebugInfo() - Method in class org.tensorflow.proto.NodeDef.Builder: This stores debug information associated with the node.
getExperimentalDebugInfo() - Method in class org.tensorflow.proto.NodeDef: This stores debug information associated with the node.
getExperimentalDebugInfo() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: This stores debug information associated with the node.
getExperimentalDebugInfoBuilder() - Method in class org.tensorflow.proto.NodeDef.Builder: This stores debug information associated with the node.
getExperimentalDebugInfoOrBuilder() - Method in class org.tensorflow.proto.NodeDef.Builder: This stores debug information associated with the node.
getExperimentalDebugInfoOrBuilder() - Method in class org.tensorflow.proto.NodeDef: This stores debug information associated with the node.
getExperimentalDebugInfoOrBuilder() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: This stores debug information associated with the node.
getExperimentalDisableCompressedTensorOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Disable optimizations that assume compressed tensors.
getExperimentalDisableCompressedTensorOptimization() - Method in class org.tensorflow.proto.RewriterConfig: Disable optimizations that assume compressed tensors.
getExperimentalDisableCompressedTensorOptimization() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Disable optimizations that assume compressed tensors.
getExperimentalDisableFoldingQuantizationEmulation() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Disable folding quantization emulation ops such as FakeQuantWithMinMax* and QuantizeAndDequantize*.
getExperimentalDisableFoldingQuantizationEmulation() - Method in class org.tensorflow.proto.RewriterConfig: Disable folding quantization emulation ops such as FakeQuantWithMinMax* and QuantizeAndDequantize*.
getExperimentalDisableFoldingQuantizationEmulation() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Disable folding quantization emulation ops such as FakeQuantWithMinMax* and QuantizeAndDequantize*.
getExperimentalDistributedVariableComponents(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponents(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponents(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsCount() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsOrBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsOrBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsOrBuilder(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsOrBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsOrBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: List of component variables for a distributed variable.
getExperimentalDistributedVariableComponentsOrBuilderList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: List of component variables for a distributed variable.
getExperimentalFullType() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Experimental.
getExperimentalFullType() - Method in class org.tensorflow.proto.OpDef.ArgDef: Experimental.
getExperimentalFullType() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: Experimental.
getExperimentalFullTypeBuilder() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Experimental.
getExperimentalFullTypeOrBuilder() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Experimental.
getExperimentalFullTypeOrBuilder() - Method in class org.tensorflow.proto.OpDef.ArgDef: Experimental.
getExperimentalFullTypeOrBuilder() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: Experimental.
getExperimentalOrBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalOrBuilder() - Method in class org.tensorflow.proto.ConfigProto: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalOrBuilder() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: .tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalOrBuilder() - Method in class org.tensorflow.proto.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimentalOrBuilder() - Method in class org.tensorflow.proto.GPUOptions: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimentalOrBuilder() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
getExperimentalOrBuilder() - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalOrBuilder() - Method in class org.tensorflow.proto.RunOptions: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalOrBuilder() - Method in interface org.tensorflow.proto.RunOptionsOrBuilder: .tensorflow.RunOptions.Experimental experimental = 8;
getExperimentalType() - Method in class org.tensorflow.proto.NodeDef.Builder: The complete type of this node.
getExperimentalType() - Method in class org.tensorflow.proto.NodeDef: The complete type of this node.
getExperimentalType() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: The complete type of this node.
getExperimentalTypeBuilder() - Method in class org.tensorflow.proto.NodeDef.Builder: The complete type of this node.
getExperimentalTypeOrBuilder() - Method in class org.tensorflow.proto.NodeDef.Builder: The complete type of this node.
getExperimentalTypeOrBuilder() - Method in class org.tensorflow.proto.NodeDef: The complete type of this node.
getExperimentalTypeOrBuilder() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: The complete type of this node.
getExplanation() - Method in class org.tensorflow.proto.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
getExplanation() - Method in class org.tensorflow.proto.OpDeprecation: Explanation of why it was deprecated and what to use instead.
getExplanation() - Method in interface org.tensorflow.proto.OpDeprecationOrBuilder: Explanation of why it was deprecated and what to use instead.
getExplanationBytes() - Method in class org.tensorflow.proto.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
getExplanationBytes() - Method in class org.tensorflow.proto.OpDeprecation: Explanation of why it was deprecated and what to use instead.
getExplanationBytes() - Method in interface org.tensorflow.proto.OpDeprecationOrBuilder: Explanation of why it was deprecated and what to use instead.
getExtent(int) - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtent(int) - Method in class org.tensorflow.proto.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtent(int) - Method in interface org.tensorflow.proto.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExtentBuilder(int) - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentBuilderList() - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentCount() - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentCount() - Method in class org.tensorflow.proto.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtentCount() - Method in interface org.tensorflow.proto.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExtentList() - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentList() - Method in class org.tensorflow.proto.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtentList() - Method in interface org.tensorflow.proto.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExtentOrBuilder(int) - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentOrBuilder(int) - Method in class org.tensorflow.proto.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtentOrBuilder(int) - Method in interface org.tensorflow.proto.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExtentOrBuilderList() - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
getExtentOrBuilderList() - Method in class org.tensorflow.proto.TensorSliceProto: Extent of the slice in all tensor dimensions.
getExtentOrBuilderList() - Method in interface org.tensorflow.proto.TensorSliceProtoOrBuilder: Extent of the slice in all tensor dimensions.
getExternalStatePolicy() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
getExternalStatePolicy() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
getExternalStatePolicy() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
getExternalStatePolicyValue() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
getExternalStatePolicyValue() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
getExternalStatePolicyValue() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
getExternalValues() - Method in class org.tensorflow.proto.ValuesDef.Builder: Deprecated.
getExternalValues() - Method in class org.tensorflow.proto.ValuesDef: Deprecated.
getExternalValues() - Method in interface org.tensorflow.proto.ValuesDefOrBuilder: Deprecated.
getExternalValuesCount() - Method in class org.tensorflow.proto.ValuesDef.Builder
getExternalValuesCount() - Method in class org.tensorflow.proto.ValuesDef
getExternalValuesCount() - Method in interface org.tensorflow.proto.ValuesDefOrBuilder: Value names referenced by but external to this context.
getExternalValuesMap() - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names referenced by but external to this context.
getExternalValuesMap() - Method in class org.tensorflow.proto.ValuesDef: Value names referenced by but external to this context.
getExternalValuesMap() - Method in interface org.tensorflow.proto.ValuesDefOrBuilder: Value names referenced by but external to this context.
getExternalValuesOrDefault(String, String) - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names referenced by but external to this context.
getExternalValuesOrDefault(String, String) - Method in class org.tensorflow.proto.ValuesDef: Value names referenced by but external to this context.
getExternalValuesOrDefault(String, String) - Method in interface org.tensorflow.proto.ValuesDefOrBuilder: Value names referenced by but external to this context.
getExternalValuesOrThrow(String) - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names referenced by but external to this context.
getExternalValuesOrThrow(String) - Method in class org.tensorflow.proto.ValuesDef: Value names referenced by but external to this context.
getExternalValuesOrThrow(String) - Method in interface org.tensorflow.proto.ValuesDefOrBuilder: Value names referenced by but external to this context.
getExtras() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Deprecated.
getExtras() - Method in class org.tensorflow.proto.BenchmarkEntry: Deprecated.
getExtras() - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Deprecated.
getExtrasCount() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
getExtrasCount() - Method in class org.tensorflow.proto.BenchmarkEntry
getExtrasCount() - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Generic map from result key to value.
getExtrasMap() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Generic map from result key to value.
getExtrasMap() - Method in class org.tensorflow.proto.BenchmarkEntry: Generic map from result key to value.
getExtrasMap() - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Generic map from result key to value.
getExtrasOrDefault(String, EntryValue) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Generic map from result key to value.
getExtrasOrDefault(String, EntryValue) - Method in class org.tensorflow.proto.BenchmarkEntry: Generic map from result key to value.
getExtrasOrDefault(String, EntryValue) - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Generic map from result key to value.
getExtrasOrThrow(String) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Generic map from result key to value.
getExtrasOrThrow(String) - Method in class org.tensorflow.proto.BenchmarkEntry: Generic map from result key to value.
getExtrasOrThrow(String) - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Generic map from result key to value.
getF() - Method in class org.tensorflow.proto.AttrValue.Builder: "float"
getF() - Method in class org.tensorflow.proto.AttrValue: "float"
getF() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "float"
getF(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(float)"
getF(int) - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(float)"
getF(int) - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(float)"
getFailOnOptimizerErrors() - Method in class org.tensorflow.proto.RewriterConfig.Builder: If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
getFailOnOptimizerErrors() - Method in class org.tensorflow.proto.RewriterConfig: If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
getFailOnOptimizerErrors() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
getFalseNegatives() - Method in class org.tensorflow.framework.metrics.AUC
getFalseNegatives() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the falseNegatives variable
getFalseNegatives() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the falseNegatives variable
getFalseNegatives() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the falseNegatives variable
getFalseNegatives() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the falseNegatives variable
getFalseNegatives() - Method in class org.tensorflow.framework.metrics.Recall: Gets the falseNegatives variable
getFalseNegativesName() - Method in class org.tensorflow.framework.metrics.AUC
getFalseNegativesName() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the falseNegatives variable name
getFalseNegativesName() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the falseNegatives variable name
getFalseNegativesName() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the falseNegatives variable name
getFalseNegativesName() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the falseNegatives variable name
getFalseNegativesName() - Method in class org.tensorflow.framework.metrics.Recall: Gets the falseNegatives variable name
getFalsePositives() - Method in class org.tensorflow.framework.metrics.AUC
getFalsePositives() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the falsePositives variable
getFalsePositives() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the falsePositives variable
getFalsePositives() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the falsePositives variable
getFalsePositives() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the falsePositives variable
getFalsePositives() - Method in class org.tensorflow.framework.metrics.Precision: Gets the falsePositives variable
getFalsePositivesName() - Method in class org.tensorflow.framework.metrics.AUC
getFalsePositivesName() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the falsePositives variable name
getFalsePositivesName() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the falsePositives variable name
getFalsePositivesName() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the falsePositives variable name
getFalsePositivesName() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the falsePositives variable name
getFalsePositivesName() - Method in class org.tensorflow.framework.metrics.Precision: Gets the name of the falsePositives variable
getFaultTolerantMode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: Whether to run in fault tolerant mode, where dispatcher state is saved across restarts.
getFaultTolerantMode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: Whether to run in fault tolerant mode, where dispatcher state is saved across restarts.
getFaultTolerantMode() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: Whether to run in fault tolerant mode, where dispatcher state is saved across restarts.
getFCount() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(float)"
getFCount() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(float)"
getFCount() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(float)"
getFeature() - Method in class org.tensorflow.proto.Features.Builder: Deprecated.
getFeature() - Method in class org.tensorflow.proto.Features: Deprecated.
getFeature() - Method in interface org.tensorflow.proto.FeaturesOrBuilder: Deprecated.
getFeature(int) - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeature(int) - Method in class org.tensorflow.proto.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeature(int) - Method in interface org.tensorflow.proto.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureBuilder(int) - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureBuilderList() - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureCount() - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureCount() - Method in class org.tensorflow.proto.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeatureCount() - Method in interface org.tensorflow.proto.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureCount() - Method in class org.tensorflow.proto.Features.Builder
getFeatureCount() - Method in class org.tensorflow.proto.Features
getFeatureCount() - Method in interface org.tensorflow.proto.FeaturesOrBuilder: Map from feature name to feature.
getFeatureList() - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureList() - Method in class org.tensorflow.proto.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeatureList() - Method in interface org.tensorflow.proto.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureList() - Method in class org.tensorflow.proto.FeatureLists.Builder: Deprecated.
getFeatureList() - Method in class org.tensorflow.proto.FeatureLists: Deprecated.
getFeatureList() - Method in interface org.tensorflow.proto.FeatureListsOrBuilder: Deprecated.
getFeatureListCount() - Method in class org.tensorflow.proto.FeatureLists.Builder
getFeatureListCount() - Method in class org.tensorflow.proto.FeatureLists
getFeatureListCount() - Method in interface org.tensorflow.proto.FeatureListsOrBuilder: Map from feature name to feature list.
getFeatureListMap() - Method in class org.tensorflow.proto.FeatureLists.Builder: Map from feature name to feature list.
getFeatureListMap() - Method in class org.tensorflow.proto.FeatureLists: Map from feature name to feature list.
getFeatureListMap() - Method in interface org.tensorflow.proto.FeatureListsOrBuilder: Map from feature name to feature list.
getFeatureListOrDefault(String, FeatureList) - Method in class org.tensorflow.proto.FeatureLists.Builder: Map from feature name to feature list.
getFeatureListOrDefault(String, FeatureList) - Method in class org.tensorflow.proto.FeatureLists: Map from feature name to feature list.
getFeatureListOrDefault(String, FeatureList) - Method in interface org.tensorflow.proto.FeatureListsOrBuilder: Map from feature name to feature list.
getFeatureListOrThrow(String) - Method in class org.tensorflow.proto.FeatureLists.Builder: Map from feature name to feature list.
getFeatureListOrThrow(String) - Method in class org.tensorflow.proto.FeatureLists: Map from feature name to feature list.
getFeatureListOrThrow(String) - Method in interface org.tensorflow.proto.FeatureListsOrBuilder: Map from feature name to feature list.
getFeatureLists() - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureLists() - Method in class org.tensorflow.proto.SequenceExample: .tensorflow.FeatureLists feature_lists = 2;
getFeatureLists() - Method in interface org.tensorflow.proto.SequenceExampleOrBuilder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureListsBuilder() - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureListsOrBuilder() - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureListsOrBuilder() - Method in class org.tensorflow.proto.SequenceExample: .tensorflow.FeatureLists feature_lists = 2;
getFeatureListsOrBuilder() - Method in interface org.tensorflow.proto.SequenceExampleOrBuilder: .tensorflow.FeatureLists feature_lists = 2;
getFeatureMap() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder: Deprecated.
getFeatureMap() - Method in class org.tensorflow.proto.ExampleParserConfiguration: Deprecated.
getFeatureMap() - Method in interface org.tensorflow.proto.ExampleParserConfigurationOrBuilder: Deprecated.
getFeatureMap() - Method in class org.tensorflow.proto.Features.Builder: Map from feature name to feature.
getFeatureMap() - Method in class org.tensorflow.proto.Features: Map from feature name to feature.
getFeatureMap() - Method in interface org.tensorflow.proto.FeaturesOrBuilder: Map from feature name to feature.
getFeatureMapCount() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
getFeatureMapCount() - Method in class org.tensorflow.proto.ExampleParserConfiguration
getFeatureMapCount() - Method in interface org.tensorflow.proto.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapMap() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapMap() - Method in class org.tensorflow.proto.ExampleParserConfiguration: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapMap() - Method in interface org.tensorflow.proto.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrDefault(String, FeatureConfiguration) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrDefault(String, FeatureConfiguration) - Method in class org.tensorflow.proto.ExampleParserConfiguration: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrDefault(String, FeatureConfiguration) - Method in interface org.tensorflow.proto.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrThrow(String) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrThrow(String) - Method in class org.tensorflow.proto.ExampleParserConfiguration: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureMapOrThrow(String) - Method in interface org.tensorflow.proto.ExampleParserConfigurationOrBuilder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
getFeatureOrBuilder(int) - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilder(int) - Method in class org.tensorflow.proto.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilder(int) - Method in interface org.tensorflow.proto.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilderList() - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilderList() - Method in class org.tensorflow.proto.FeatureList: repeated .tensorflow.Feature feature = 1;
getFeatureOrBuilderList() - Method in interface org.tensorflow.proto.FeatureListOrBuilder: repeated .tensorflow.Feature feature = 1;
getFeatureOrDefault(String, Feature) - Method in class org.tensorflow.proto.Features.Builder: Map from feature name to feature.
getFeatureOrDefault(String, Feature) - Method in class org.tensorflow.proto.Features: Map from feature name to feature.
getFeatureOrDefault(String, Feature) - Method in interface org.tensorflow.proto.FeaturesOrBuilder: Map from feature name to feature.
getFeatureOrThrow(String) - Method in class org.tensorflow.proto.Features.Builder: Map from feature name to feature.
getFeatureOrThrow(String) - Method in class org.tensorflow.proto.Features: Map from feature name to feature.
getFeatureOrThrow(String) - Method in interface org.tensorflow.proto.FeaturesOrBuilder: Map from feature name to feature.
getFeatures() - Method in class org.tensorflow.proto.Example.Builder: .tensorflow.Features features = 1;
getFeatures() - Method in class org.tensorflow.proto.Example: .tensorflow.Features features = 1;
getFeatures() - Method in interface org.tensorflow.proto.ExampleOrBuilder: .tensorflow.Features features = 1;
getFeaturesBuilder() - Method in class org.tensorflow.proto.Example.Builder: .tensorflow.Features features = 1;
getFeaturesOrBuilder() - Method in class org.tensorflow.proto.Example.Builder: .tensorflow.Features features = 1;
getFeaturesOrBuilder() - Method in class org.tensorflow.proto.Example: .tensorflow.Features features = 1;
getFeaturesOrBuilder() - Method in interface org.tensorflow.proto.ExampleOrBuilder: .tensorflow.Features features = 1;
getFeed(int) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be fed in the callable.
getFeed(int) - Method in class org.tensorflow.proto.CallableOptions: Tensors to be fed in the callable.
getFeed(int) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Tensors to be fed in the callable.
getFeedBytes(int) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be fed in the callable.
getFeedBytes(int) - Method in class org.tensorflow.proto.CallableOptions: Tensors to be fed in the callable.
getFeedBytes(int) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Tensors to be fed in the callable.
getFeedCount() - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be fed in the callable.
getFeedCount() - Method in class org.tensorflow.proto.CallableOptions: Tensors to be fed in the callable.
getFeedCount() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Tensors to be fed in the callable.
getFeedDevices() - Method in class org.tensorflow.proto.CallableOptions.Builder: Deprecated.
getFeedDevices() - Method in class org.tensorflow.proto.CallableOptions: Deprecated.
getFeedDevices() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Deprecated.
getFeedDevicesCount() - Method in class org.tensorflow.proto.CallableOptions.Builder
getFeedDevicesCount() - Method in class org.tensorflow.proto.CallableOptions
getFeedDevicesCount() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesMap() - Method in class org.tensorflow.proto.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesMap() - Method in class org.tensorflow.proto.CallableOptions: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesMap() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrDefault(String, String) - Method in class org.tensorflow.proto.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrDefault(String, String) - Method in class org.tensorflow.proto.CallableOptions: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrDefault(String, String) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrThrow(String) - Method in class org.tensorflow.proto.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrThrow(String) - Method in class org.tensorflow.proto.CallableOptions: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedDevicesOrThrow(String) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
getFeedList() - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be fed in the callable.
getFeedList() - Method in class org.tensorflow.proto.CallableOptions: Tensors to be fed in the callable.
getFeedList() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Tensors to be fed in the callable.
getFetch(int) - Method in class org.tensorflow.proto.CallableOptions.Builder: Fetches.
getFetch(int) - Method in class org.tensorflow.proto.CallableOptions: Fetches.
getFetch(int) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Fetches.
getFetchBytes(int) - Method in class org.tensorflow.proto.CallableOptions.Builder: Fetches.
getFetchBytes(int) - Method in class org.tensorflow.proto.CallableOptions: Fetches.
getFetchBytes(int) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Fetches.
getFetchCount() - Method in class org.tensorflow.proto.CallableOptions.Builder: Fetches.
getFetchCount() - Method in class org.tensorflow.proto.CallableOptions: Fetches.
getFetchCount() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Fetches.
getFetchDevices() - Method in class org.tensorflow.proto.CallableOptions.Builder: Deprecated.
getFetchDevices() - Method in class org.tensorflow.proto.CallableOptions: Deprecated.
getFetchDevices() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Deprecated.
getFetchDevicesCount() - Method in class org.tensorflow.proto.CallableOptions.Builder
getFetchDevicesCount() - Method in class org.tensorflow.proto.CallableOptions
getFetchDevicesCount() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
getFetchDevicesMap() - Method in class org.tensorflow.proto.CallableOptions.Builder: map<string, string> fetch_devices = 7;
getFetchDevicesMap() - Method in class org.tensorflow.proto.CallableOptions: map<string, string> fetch_devices = 7;
getFetchDevicesMap() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
getFetchDevicesOrDefault(String, String) - Method in class org.tensorflow.proto.CallableOptions.Builder: map<string, string> fetch_devices = 7;
getFetchDevicesOrDefault(String, String) - Method in class org.tensorflow.proto.CallableOptions: map<string, string> fetch_devices = 7;
getFetchDevicesOrDefault(String, String) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
getFetchDevicesOrThrow(String) - Method in class org.tensorflow.proto.CallableOptions.Builder: map<string, string> fetch_devices = 7;
getFetchDevicesOrThrow(String) - Method in class org.tensorflow.proto.CallableOptions: map<string, string> fetch_devices = 7;
getFetchDevicesOrThrow(String) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: map<string, string> fetch_devices = 7;
getFetchList() - Method in class org.tensorflow.proto.CallableOptions.Builder: Fetches.
getFetchList() - Method in class org.tensorflow.proto.CallableOptions: Fetches.
getFetchList() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Fetches.
getFetchSkipSync() - Method in class org.tensorflow.proto.CallableOptions.Builder: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
getFetchSkipSync() - Method in class org.tensorflow.proto.CallableOptions: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
getFetchSkipSync() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
getFields() - Method in class org.tensorflow.proto.Struct.DictValue.Builder: Deprecated.
getFields() - Method in class org.tensorflow.proto.Struct.DictValue: Deprecated.
getFields() - Method in interface org.tensorflow.proto.Struct.DictValueOrBuilder: Deprecated.
getFieldsCount() - Method in class org.tensorflow.proto.Struct.DictValue.Builder
getFieldsCount() - Method in class org.tensorflow.proto.Struct.DictValue
getFieldsCount() - Method in interface org.tensorflow.proto.Struct.DictValueOrBuilder: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsMap() - Method in class org.tensorflow.proto.Struct.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsMap() - Method in class org.tensorflow.proto.Struct.DictValue: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsMap() - Method in interface org.tensorflow.proto.Struct.DictValueOrBuilder: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsOrDefault(String, Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsOrDefault(String, Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.DictValue: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsOrDefault(String, Struct.StructuredValue) - Method in interface org.tensorflow.proto.Struct.DictValueOrBuilder: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsOrThrow(String) - Method in class org.tensorflow.proto.Struct.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsOrThrow(String) - Method in class org.tensorflow.proto.Struct.DictValue: map<string, .tensorflow.StructuredValue> fields = 1;
getFieldsOrThrow(String) - Method in interface org.tensorflow.proto.Struct.DictValueOrBuilder: map<string, .tensorflow.StructuredValue> fields = 1;
getFileIndex() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: File name index, which can be used to retrieve the file name string from `files`.
getFileIndex() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: File name index, which can be used to retrieve the file name string from `files`.
getFileIndex() - Method in interface org.tensorflow.proto.GraphDebugInfo.FileLineColOrBuilder: File name index, which can be used to retrieve the file name string from `files`.
getFileLineCol() - Method in class org.tensorflow.proto.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineCol() - Method in class org.tensorflow.proto.StackFrameWithId: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineCol() - Method in interface org.tensorflow.proto.StackFrameWithIdOrBuilder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineColBuilder() - Method in class org.tensorflow.proto.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineColOrBuilder() - Method in class org.tensorflow.proto.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineColOrBuilder() - Method in class org.tensorflow.proto.StackFrameWithId: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineColOrBuilder() - Method in interface org.tensorflow.proto.StackFrameWithIdOrBuilder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
getFileLineCols(int) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
getFileLineCols(int) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace: Deprecated.
getFileLineCols(int) - Method in interface org.tensorflow.proto.GraphDebugInfo.StackTraceOrBuilder: Deprecated.
getFileLineColsBuilder(int) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
getFileLineColsBuilderList() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
getFileLineColsCount() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
getFileLineColsCount() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace: Deprecated.
getFileLineColsCount() - Method in interface org.tensorflow.proto.GraphDebugInfo.StackTraceOrBuilder: Deprecated.
getFileLineColsList() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
getFileLineColsList() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace: Deprecated.
getFileLineColsList() - Method in interface org.tensorflow.proto.GraphDebugInfo.StackTraceOrBuilder: Deprecated.
getFileLineColsOrBuilder(int) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
getFileLineColsOrBuilder(int) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace: Deprecated.
getFileLineColsOrBuilder(int) - Method in interface org.tensorflow.proto.GraphDebugInfo.StackTraceOrBuilder: Deprecated.
getFileLineColsOrBuilderList() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
getFileLineColsOrBuilderList() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace: Deprecated.
getFileLineColsOrBuilderList() - Method in interface org.tensorflow.proto.GraphDebugInfo.StackTraceOrBuilder: Deprecated.
getFilename() - Method in class org.tensorflow.proto.AssetFileDef.Builder: The filename within an assets directory.
getFilename() - Method in class org.tensorflow.proto.AssetFileDef: The filename within an assets directory.
getFilename() - Method in interface org.tensorflow.proto.AssetFileDefOrBuilder: The filename within an assets directory.
getFilenameBytes() - Method in class org.tensorflow.proto.AssetFileDef.Builder: The filename within an assets directory.
getFilenameBytes() - Method in class org.tensorflow.proto.AssetFileDef: The filename within an assets directory.
getFilenameBytes() - Method in interface org.tensorflow.proto.AssetFileDefOrBuilder: The filename within an assets directory.
getFilenameTensorName() - Method in class org.tensorflow.proto.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorName() - Method in class org.tensorflow.proto.SaverDef: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorName() - Method in interface org.tensorflow.proto.SaverDefOrBuilder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorNameBytes() - Method in class org.tensorflow.proto.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorNameBytes() - Method in class org.tensorflow.proto.SaverDef: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilenameTensorNameBytes() - Method in interface org.tensorflow.proto.SaverDefOrBuilder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
getFilePath() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Path to the source code file.
getFilePath() - Method in class org.tensorflow.proto.DebuggedSourceFile: Path to the source code file.
getFilePath() - Method in interface org.tensorflow.proto.DebuggedSourceFileOrBuilder: Path to the source code file.
getFilePath() - Method in class org.tensorflow.proto.SourceFile.Builder: Path to the file.
getFilePath() - Method in class org.tensorflow.proto.SourceFile: Path to the file.
getFilePath() - Method in interface org.tensorflow.proto.SourceFileOrBuilder: Path to the file.
getFilePathBytes() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Path to the source code file.
getFilePathBytes() - Method in class org.tensorflow.proto.DebuggedSourceFile: Path to the source code file.
getFilePathBytes() - Method in interface org.tensorflow.proto.DebuggedSourceFileOrBuilder: Path to the source code file.
getFilePathBytes() - Method in class org.tensorflow.proto.SourceFile.Builder: Path to the file.
getFilePathBytes() - Method in class org.tensorflow.proto.SourceFile: Path to the file.
getFilePathBytes() - Method in interface org.tensorflow.proto.SourceFileOrBuilder: Path to the file.
getFiles(int) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
getFiles(int) - Method in class org.tensorflow.proto.GraphDebugInfo: This stores all the source code file names and can be indexed by the `file_index`.
getFiles(int) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: This stores all the source code file names and can be indexed by the `file_index`.
getFilesBytes(int) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
getFilesBytes(int) - Method in class org.tensorflow.proto.GraphDebugInfo: This stores all the source code file names and can be indexed by the `file_index`.
getFilesBytes(int) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: This stores all the source code file names and can be indexed by the `file_index`.
getFilesCount() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
getFilesCount() - Method in class org.tensorflow.proto.GraphDebugInfo: This stores all the source code file names and can be indexed by the `file_index`.
getFilesCount() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: This stores all the source code file names and can be indexed by the `file_index`.
getFilesList() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
getFilesList() - Method in class org.tensorflow.proto.GraphDebugInfo: This stores all the source code file names and can be indexed by the `file_index`.
getFilesList() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: This stores all the source code file names and can be indexed by the `file_index`.
getFileVersion() - Method in class org.tensorflow.proto.DebugMetadata.Builder: Version of the DebugEvent file format.
getFileVersion() - Method in class org.tensorflow.proto.DebugMetadata: Version of the DebugEvent file format.
getFileVersion() - Method in interface org.tensorflow.proto.DebugMetadataOrBuilder: Version of the DebugEvent file format.
getFileVersion() - Method in class org.tensorflow.proto.Event.Builder: An event file was started, with the specified version.
getFileVersion() - Method in class org.tensorflow.proto.Event: An event file was started, with the specified version.
getFileVersion() - Method in interface org.tensorflow.proto.EventOrBuilder: An event file was started, with the specified version.
getFileVersionBytes() - Method in class org.tensorflow.proto.DebugMetadata.Builder: Version of the DebugEvent file format.
getFileVersionBytes() - Method in class org.tensorflow.proto.DebugMetadata: Version of the DebugEvent file format.
getFileVersionBytes() - Method in interface org.tensorflow.proto.DebugMetadataOrBuilder: Version of the DebugEvent file format.
getFileVersionBytes() - Method in class org.tensorflow.proto.Event.Builder: An event file was started, with the specified version.
getFileVersionBytes() - Method in class org.tensorflow.proto.Event: An event file was started, with the specified version.
getFileVersionBytes() - Method in interface org.tensorflow.proto.EventOrBuilder: An event file was started, with the specified version.
getFilterFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool filter_fusion = 6;
getFilterFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool filter_fusion = 6;
getFilterFusion() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool filter_fusion = 6;
getFilterParallelization() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool filter_parallelization = 18;
getFilterParallelization() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool filter_parallelization = 18;
getFilterParallelization() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool filter_parallelization = 18;
getFinalized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: bool finalized = 1000;
getFinalized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: bool finalized = 1000;
getFinalized() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: bool finalized = 1000;
getFixedLenFeature() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeature() - Method in class org.tensorflow.proto.FeatureConfiguration: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeature() - Method in interface org.tensorflow.proto.FeatureConfigurationOrBuilder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeatureBuilder() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeatureOrBuilder() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeatureOrBuilder() - Method in class org.tensorflow.proto.FeatureConfiguration: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFixedLenFeatureOrBuilder() - Method in interface org.tensorflow.proto.FeatureConfigurationOrBuilder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
getFList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(float)"
getFList() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(float)"
getFList() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(float)"
getFloat64Value() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a double-precision floating-point value (a Python `float`).
getFloat64Value() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a double-precision floating-point value (a Python `float`).
getFloat64Value() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a double-precision floating-point value (a Python `float`).
getFloat8Val() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_FLOAT8_*, use variable-sized set of bytes (i.e. the equivalent of repeated uint8, if such a thing existed).
getFloat8Val() - Method in class org.tensorflow.proto.TensorProto: DT_FLOAT8_*, use variable-sized set of bytes (i.e. the equivalent of repeated uint8, if such a thing existed).
getFloat8Val() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_FLOAT8_*, use variable-sized set of bytes (i.e. the equivalent of repeated uint8, if such a thing existed).
getFloatList() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatList() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatList() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatList() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.FloatList float_list = 2;
getFloatList() - Method in class org.tensorflow.proto.Feature: .tensorflow.FloatList float_list = 2;
getFloatList() - Method in interface org.tensorflow.proto.FeatureOrBuilder: .tensorflow.FloatList float_list = 2;
getFloatListBuilder() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatListBuilder() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.FloatList float_list = 2;
getFloatListOrBuilder() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatListOrBuilder() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatListOrBuilder() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.FloatList float_list = 4;
getFloatListOrBuilder() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.FloatList float_list = 2;
getFloatListOrBuilder() - Method in class org.tensorflow.proto.Feature: .tensorflow.FloatList float_list = 2;
getFloatListOrBuilder() - Method in interface org.tensorflow.proto.FeatureOrBuilder: .tensorflow.FloatList float_list = 2;
getFloatVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_FLOAT.
getFloatVal(int) - Method in class org.tensorflow.proto.TensorProto: DT_FLOAT.
getFloatVal(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_FLOAT.
getFloatValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_FLOAT.
getFloatValCount() - Method in class org.tensorflow.proto.TensorProto: DT_FLOAT.
getFloatValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_FLOAT.
getFloatValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_FLOAT.
getFloatValList() - Method in class org.tensorflow.proto.TensorProto: DT_FLOAT.
getFloatValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_FLOAT.
getForceDisable() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Disables coordination service.
getForceDisable() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: Disables coordination service.
getForceDisable() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: Disables coordination service.
getForceGpuCompatible() - Method in class org.tensorflow.proto.GPUOptions.Builder: Force all tensors to be gpu_compatible.
getForceGpuCompatible() - Method in class org.tensorflow.proto.GPUOptions: Force all tensors to be gpu_compatible.
getForceGpuCompatible() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: Force all tensors to be gpu_compatible.
getFragmentationMetric() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: float fragmentation_metric = 5;
getFragmentationMetric() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats: float fragmentation_metric = 5;
getFragmentationMetric() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemAllocatorStatsOrBuilder: float fragmentation_metric = 5;
getFrameId(int) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: repeated fixed64 frame_id = 2 [packed = true];
getFrameId(int) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace: repeated fixed64 frame_id = 2 [packed = true];
getFrameId(int) - Method in interface org.tensorflow.proto.GraphDebugInfo.StackTraceOrBuilder: repeated fixed64 frame_id = 2 [packed = true];
getFrameIdCount() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: repeated fixed64 frame_id = 2 [packed = true];
getFrameIdCount() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace: repeated fixed64 frame_id = 2 [packed = true];
getFrameIdCount() - Method in interface org.tensorflow.proto.GraphDebugInfo.StackTraceOrBuilder: repeated fixed64 frame_id = 2 [packed = true];
getFrameIdList() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: repeated fixed64 frame_id = 2 [packed = true];
getFrameIdList() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace: repeated fixed64 frame_id = 2 [packed = true];
getFrameIdList() - Method in interface org.tensorflow.proto.GraphDebugInfo.StackTraceOrBuilder: repeated fixed64 frame_id = 2 [packed = true];
getFramesById() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
getFramesById() - Method in class org.tensorflow.proto.GraphDebugInfo: Deprecated.
getFramesById() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Deprecated.
getFramesByIdCount() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
getFramesByIdCount() - Method in class org.tensorflow.proto.GraphDebugInfo
getFramesByIdCount() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Stack traces and frames are uniqueified during construction.
getFramesByIdMap() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Stack traces and frames are uniqueified during construction.
getFramesByIdMap() - Method in class org.tensorflow.proto.GraphDebugInfo: Stack traces and frames are uniqueified during construction.
getFramesByIdMap() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Stack traces and frames are uniqueified during construction.
getFramesByIdOrDefault(long, GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Stack traces and frames are uniqueified during construction.
getFramesByIdOrDefault(long, GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.GraphDebugInfo: Stack traces and frames are uniqueified during construction.
getFramesByIdOrDefault(long, GraphDebugInfo.FileLineCol) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Stack traces and frames are uniqueified during construction.
getFramesByIdOrThrow(long) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Stack traces and frames are uniqueified during construction.
getFramesByIdOrThrow(long) - Method in class org.tensorflow.proto.GraphDebugInfo: Stack traces and frames are uniqueified during construction.
getFramesByIdOrThrow(long) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Stack traces and frames are uniqueified during construction.
getFrameworkType(int) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: List of frameworks used to generate this dataset.
getFrameworkType(int) - Method in class org.tensorflow.proto.data.DatasetOptions.Options: List of frameworks used to generate this dataset.
getFrameworkType(int) - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: List of frameworks used to generate this dataset.
getFrameworkTypeBytes(int) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: List of frameworks used to generate this dataset.
getFrameworkTypeBytes(int) - Method in class org.tensorflow.proto.data.DatasetOptions.Options: List of frameworks used to generate this dataset.
getFrameworkTypeBytes(int) - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: List of frameworks used to generate this dataset.
getFrameworkTypeCount() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: List of frameworks used to generate this dataset.
getFrameworkTypeCount() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: List of frameworks used to generate this dataset.
getFrameworkTypeCount() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: List of frameworks used to generate this dataset.
getFrameworkTypeList() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: List of frameworks used to generate this dataset.
getFrameworkTypeList() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: List of frameworks used to generate this dataset.
getFrameworkTypeList() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: List of frameworks used to generate this dataset.
getFreedAtCount() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: uint64 freed_at_count = 6;
getFreedAtCount() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk: uint64 freed_at_count = 6;
getFreedAtCount() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemChunkOrBuilder: uint64 freed_at_count = 6;
getFrequency() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Core Frequency in Mhz
getFrequency() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Core Frequency in Mhz
getFrequency() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Core Frequency in Mhz
getFromTensor() - Method in class org.tensorflow.proto.TensorConnection.Builder: A tensor name.
getFromTensor() - Method in class org.tensorflow.proto.TensorConnection: A tensor name.
getFromTensor() - Method in interface org.tensorflow.proto.TensorConnectionOrBuilder: A tensor name.
getFromTensorBytes() - Method in class org.tensorflow.proto.TensorConnection.Builder: A tensor name.
getFromTensorBytes() - Method in class org.tensorflow.proto.TensorConnection: A tensor name.
getFromTensorBytes() - Method in interface org.tensorflow.proto.TensorConnectionOrBuilder: A tensor name.
getFullargspec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
getFullargspec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec: Full arg spec from inspect.getfullargspec().
getFullargspec() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpecOrBuilder: Full arg spec from inspect.getfullargspec().
getFullargspecBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
getFullargspecOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
getFullargspecOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec: Full arg spec from inspect.getfullargspec().
getFullargspecOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpecOrBuilder: Full arg spec from inspect.getfullargspec().
getFullName() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
getFullName() - Method in class org.tensorflow.proto.SaveSliceInfoDef: Name of the full variable of which this is a slice.
getFullName() - Method in interface org.tensorflow.proto.SaveSliceInfoDefOrBuilder: Name of the full variable of which this is a slice.
getFullName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
getFullName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor: The full name of the variable/tensor, if applicable.
getFullName() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: The full name of the variable/tensor, if applicable.
getFullNameBytes() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
getFullNameBytes() - Method in class org.tensorflow.proto.SaveSliceInfoDef: Name of the full variable of which this is a slice.
getFullNameBytes() - Method in interface org.tensorflow.proto.SaveSliceInfoDefOrBuilder: Name of the full variable of which this is a slice.
getFullNameBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
getFullNameBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor: The full name of the variable/tensor, if applicable.
getFullNameBytes() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: The full name of the variable/tensor, if applicable.
getFullShape(int) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of the full variable.
getFullShape(int) - Method in class org.tensorflow.proto.SaveSliceInfoDef: Shape of the full variable.
getFullShape(int) - Method in interface org.tensorflow.proto.SaveSliceInfoDefOrBuilder: Shape of the full variable.
getFullShapeCount() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of the full variable.
getFullShapeCount() - Method in class org.tensorflow.proto.SaveSliceInfoDef: Shape of the full variable.
getFullShapeCount() - Method in interface org.tensorflow.proto.SaveSliceInfoDefOrBuilder: Shape of the full variable.
getFullShapeList() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of the full variable.
getFullShapeList() - Method in class org.tensorflow.proto.SaveSliceInfoDef: Shape of the full variable.
getFullShapeList() - Method in interface org.tensorflow.proto.SaveSliceInfoDefOrBuilder: Shape of the full variable.
getFunc() - Method in class org.tensorflow.proto.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFunc() - Method in class org.tensorflow.proto.AttrValue: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFunc() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFunc() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Name of function contains the file line.
getFunc() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: Name of function contains the file line.
getFunc() - Method in interface org.tensorflow.proto.GraphDebugInfo.FileLineColOrBuilder: Name of function contains the file line.
getFunc(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
getFunc(int) - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(attr)"
getFunc(int) - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(attr)"
getFuncBuilder() - Method in class org.tensorflow.proto.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFuncBuilder(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
getFuncBuilderList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
getFuncBytes() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Name of function contains the file line.
getFuncBytes() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: Name of function contains the file line.
getFuncBytes() - Method in interface org.tensorflow.proto.GraphDebugInfo.FileLineColOrBuilder: Name of function contains the file line.
getFuncCount() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
getFuncCount() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(attr)"
getFuncCount() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(attr)"
getFuncList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
getFuncList() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(attr)"
getFuncList() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(attr)"
getFuncOrBuilder() - Method in class org.tensorflow.proto.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFuncOrBuilder() - Method in class org.tensorflow.proto.AttrValue: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFuncOrBuilder() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
getFuncOrBuilder(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
getFuncOrBuilder(int) - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(attr)"
getFuncOrBuilder(int) - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(attr)"
getFuncOrBuilderList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
getFuncOrBuilderList() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(attr)"
getFuncOrBuilderList() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(attr)"
getFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
getFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedFunction function = 6;
getFunction() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedFunction function = 6;
getFunction(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunction(int) - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunction(int) - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunction(String) - Method in class org.tensorflow.Graph: Get the function attached to the graph with the given native name.
getFunctionAliases() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: Deprecated.
getFunctionAliases() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: Deprecated.
getFunctionAliases() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: Deprecated.
getFunctionAliasesCount() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
getFunctionAliasesCount() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
getFunctionAliasesCount() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: FunctionDef name to aliases mapping.
getFunctionAliasesMap() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
getFunctionAliasesMap() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: FunctionDef name to aliases mapping.
getFunctionAliasesMap() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: FunctionDef name to aliases mapping.
getFunctionAliasesOrDefault(String, String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
getFunctionAliasesOrDefault(String, String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: FunctionDef name to aliases mapping.
getFunctionAliasesOrDefault(String, String) - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: FunctionDef name to aliases mapping.
getFunctionAliasesOrThrow(String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
getFunctionAliasesOrThrow(String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: FunctionDef name to aliases mapping.
getFunctionAliasesOrThrow(String) - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: FunctionDef name to aliases mapping.
getFunctionBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
getFunctionBuilder(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionBuilderList() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionCount() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionCount() - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunctionCount() - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunctionDef() - Method in class org.tensorflow.ConcreteFunction: Get the FunctionDef proto.
getFunctionGraph() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Optimized function graph.
getFunctionGraph() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Optimized function graph.
getFunctionGraph() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Optimized function graph.
getFunctionGraphBuilder() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Optimized function graph.
getFunctionGraphOrBuilder() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Optimized function graph.
getFunctionGraphOrBuilder() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Optimized function graph.
getFunctionGraphOrBuilder() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Optimized function graph.
getFunctionGraphs(int) - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphs(int) - Method in class org.tensorflow.proto.RunMetadata: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphs(int) - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsBuilder(int) - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsBuilderList() - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsCount() - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsCount() - Method in class org.tensorflow.proto.RunMetadata: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsCount() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsList() - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsList() - Method in class org.tensorflow.proto.RunMetadata: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsList() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsOrBuilder(int) - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsOrBuilder(int) - Method in class org.tensorflow.proto.RunMetadata: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsOrBuilder(int) - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsOrBuilderList() - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsOrBuilderList() - Method in class org.tensorflow.proto.RunMetadata: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionGraphsOrBuilderList() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: This is only populated for graphs that are run as functions in TensorFlow V2.
getFunctionList() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionList() - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunctionList() - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunctionName() - Method in class org.tensorflow.proto.GradientDef.Builder: The function name.
getFunctionName() - Method in class org.tensorflow.proto.GradientDef: The function name.
getFunctionName() - Method in interface org.tensorflow.proto.GradientDefOrBuilder: The function name.
getFunctionNameBytes() - Method in class org.tensorflow.proto.GradientDef.Builder: The function name.
getFunctionNameBytes() - Method in class org.tensorflow.proto.GradientDef: The function name.
getFunctionNameBytes() - Method in interface org.tensorflow.proto.GradientDefOrBuilder: The function name.
getFunctionOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Function optimizations (default is ON).
getFunctionOptimization() - Method in class org.tensorflow.proto.RewriterConfig: Function optimizations (default is ON).
getFunctionOptimization() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Function optimizations (default is ON).
getFunctionOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Function optimizations (default is ON).
getFunctionOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig: Function optimizations (default is ON).
getFunctionOptimizationValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Function optimizations (default is ON).
getFunctionOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
getFunctionOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedFunction function = 6;
getFunctionOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedFunction function = 6;
getFunctionOrBuilder(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilder(int) - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilder(int) - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilderList() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilderList() - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.FunctionDef function = 1;
getFunctionOrBuilderList() - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.FunctionDef function = 1;
getFunctions() - Method in class org.tensorflow.Graph: Get the functions attached to the graph.
getFunctionSpec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpec() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunctionOrBuilder: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
getFunctionSpec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction: .tensorflow.FunctionSpec function_spec = 2;
getFunctionSpec() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunctionOrBuilder: .tensorflow.FunctionSpec function_spec = 2;
getFunctionSpecBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpecBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
getFunctionSpecOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpecOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpecOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunctionOrBuilder: The spec of the function that this ConcreteFunction is traced from.
getFunctionSpecOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
getFunctionSpecOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction: .tensorflow.FunctionSpec function_spec = 2;
getFunctionSpecOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunctionOrBuilder: .tensorflow.FunctionSpec function_spec = 2;
getGapTimes(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: repeated uint64 gap_times = 6;
getGapTimes(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto: repeated uint64 gap_times = 6;
getGapTimes(int) - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: repeated uint64 gap_times = 6;
getGapTimesCount() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: repeated uint64 gap_times = 6;
getGapTimesCount() - Method in class org.tensorflow.proto.data.model.Model.ModelProto: repeated uint64 gap_times = 6;
getGapTimesCount() - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: repeated uint64 gap_times = 6;
getGapTimesList() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: repeated uint64 gap_times = 6;
getGapTimesList() - Method in class org.tensorflow.proto.data.model.Model.ModelProto: repeated uint64 gap_times = 6;
getGapTimesList() - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: repeated uint64 gap_times = 6;
getGcDynamicShardingJobs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: Whether dynamically sharded jobs should be eligible for garbage collection.
getGcDynamicShardingJobs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: Whether dynamically sharded jobs should be eligible for garbage collection.
getGcDynamicShardingJobs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: Whether dynamically sharded jobs should be eligible for garbage collection.
getGlobalJitLevel() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevel() - Method in class org.tensorflow.proto.OptimizerOptions: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevel() - Method in interface org.tensorflow.proto.OptimizerOptionsOrBuilder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevelValue() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevelValue() - Method in class org.tensorflow.proto.OptimizerOptions: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalJitLevelValue() - Method in interface org.tensorflow.proto.OptimizerOptionsOrBuilder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
getGlobalName() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder: The global name of the threadpool.
getGlobalName() - Method in class org.tensorflow.proto.ThreadPoolOptionProto: The global name of the threadpool.
getGlobalName() - Method in interface org.tensorflow.proto.ThreadPoolOptionProtoOrBuilder: The global name of the threadpool.
getGlobalNameBytes() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder: The global name of the threadpool.
getGlobalNameBytes() - Method in class org.tensorflow.proto.ThreadPoolOptionProto: The global name of the threadpool.
getGlobalNameBytes() - Method in interface org.tensorflow.proto.ThreadPoolOptionProtoOrBuilder: The global name of the threadpool.
getGlobalStep() - Method in class org.tensorflow.proto.DebugOptions.Builder: Caller-specified global step count.
getGlobalStep() - Method in class org.tensorflow.proto.DebugOptions: Caller-specified global step count.
getGlobalStep() - Method in interface org.tensorflow.proto.DebugOptionsOrBuilder: Caller-specified global step count.
getGpuHostMemDisallowGrowth() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If true, then the host allocator allocates its max memory all upfront and never grows.
getGpuHostMemDisallowGrowth() - Method in class org.tensorflow.proto.GPUOptions.Experimental: If true, then the host allocator allocates its max memory all upfront and never grows.
getGpuHostMemDisallowGrowth() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: If true, then the host allocator allocates its max memory all upfront and never grows.
getGpuHostMemLimitInMb() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: Memory limit for "GPU host allocator", aka pinned memory allocator.
getGpuHostMemLimitInMb() - Method in class org.tensorflow.proto.GPUOptions.Experimental: Memory limit for "GPU host allocator", aka pinned memory allocator.
getGpuHostMemLimitInMb() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: Memory limit for "GPU host allocator", aka pinned memory allocator.
getGpuOptions() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all GPUs.
getGpuOptions() - Method in class org.tensorflow.proto.ConfigProto: Options that apply to all GPUs.
getGpuOptions() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Options that apply to all GPUs.
getGpuOptionsBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all GPUs.
getGpuOptionsOrBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all GPUs.
getGpuOptionsOrBuilder() - Method in class org.tensorflow.proto.ConfigProto: Options that apply to all GPUs.
getGpuOptionsOrBuilder() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Options that apply to all GPUs.
getGpuSystemMemorySizeInMb() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: Memory limit for gpu system.
getGpuSystemMemorySizeInMb() - Method in class org.tensorflow.proto.GPUOptions.Experimental: Memory limit for gpu system.
getGpuSystemMemorySizeInMb() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: Memory limit for gpu system.
getGradient() - Method in class org.tensorflow.framework.optimizers.Optimizer.GradAndVar: Gets the gradient
getGradient(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradient(int) - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradient(int) - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGradientBuilder(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientBuilderList() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientCount() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientCount() - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradientCount() - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGradientFunc() - Method in class org.tensorflow.proto.GradientDef.Builder: The gradient function's name.
getGradientFunc() - Method in class org.tensorflow.proto.GradientDef: The gradient function's name.
getGradientFunc() - Method in interface org.tensorflow.proto.GradientDefOrBuilder: The gradient function's name.
getGradientFunc() - Method in class org.tensorflow.proto.RegisteredGradient.Builder: The gradient function's name.
getGradientFunc() - Method in class org.tensorflow.proto.RegisteredGradient: The gradient function's name.
getGradientFunc() - Method in interface org.tensorflow.proto.RegisteredGradientOrBuilder: The gradient function's name.
getGradientFuncBytes() - Method in class org.tensorflow.proto.GradientDef.Builder: The gradient function's name.
getGradientFuncBytes() - Method in class org.tensorflow.proto.GradientDef: The gradient function's name.
getGradientFuncBytes() - Method in interface org.tensorflow.proto.GradientDefOrBuilder: The gradient function's name.
getGradientFuncBytes() - Method in class org.tensorflow.proto.RegisteredGradient.Builder: The gradient function's name.
getGradientFuncBytes() - Method in class org.tensorflow.proto.RegisteredGradient: The gradient function's name.
getGradientFuncBytes() - Method in interface org.tensorflow.proto.RegisteredGradientOrBuilder: The gradient function's name.
getGradientList() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientList() - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradientList() - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilder(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilder(int) - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilder(int) - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilderList() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilderList() - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.GradientDef gradient = 2;
getGradientOrBuilderList() - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.GradientDef gradient = 2;
getGraphDef() - Method in class org.tensorflow.proto.Event.Builder: An encoded version of a GraphDef.
getGraphDef() - Method in class org.tensorflow.proto.Event: An encoded version of a GraphDef.
getGraphDef() - Method in interface org.tensorflow.proto.EventOrBuilder: An encoded version of a GraphDef.
getGraphDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: GraphDef.
getGraphDef() - Method in class org.tensorflow.proto.MetaGraphDef: GraphDef.
getGraphDef() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: GraphDef.
getGraphDefBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: GraphDef.
getGraphDefOrBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: GraphDef.
getGraphDefOrBuilder() - Method in class org.tensorflow.proto.MetaGraphDef: GraphDef.
getGraphDefOrBuilder() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: GraphDef.
getGraphDefProgramHash() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of regularized graph_def.
getGraphDefProgramHash() - Method in class org.tensorflow.proto.FingerprintDef: Hash of regularized graph_def.
getGraphDefProgramHash() - Method in interface org.tensorflow.proto.FingerprintDefOrBuilder: Hash of regularized graph_def.
getGraphExecutionTrace() - Method in class org.tensorflow.proto.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphExecutionTrace() - Method in class org.tensorflow.proto.DebugEvent: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphExecutionTrace() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphExecutionTraceBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphExecutionTraceOrBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphExecutionTraceOrBuilder() - Method in class org.tensorflow.proto.DebugEvent: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphExecutionTraceOrBuilder() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
getGraphHash() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
getGraphHash() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
getGraphHash() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
getGraphHashBytes() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
getGraphHashBytes() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
getGraphHashBytes() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
getGraphId() - Method in class org.tensorflow.proto.DebugEvent.Builder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
getGraphId() - Method in class org.tensorflow.proto.DebugEvent: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
getGraphId() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
getGraphId() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: An ID for the graph.
getGraphId() - Method in class org.tensorflow.proto.DebuggedGraph: An ID for the graph.
getGraphId() - Method in interface org.tensorflow.proto.DebuggedGraphOrBuilder: An ID for the graph.
getGraphId() - Method in class org.tensorflow.proto.Execution.Builder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
getGraphId() - Method in class org.tensorflow.proto.Execution: The graph that's executed: applicable only to the eager execution of a FuncGraph.
getGraphId() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
getGraphId() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Unique ID of the graph (generated by debugger).
getGraphId() - Method in class org.tensorflow.proto.GraphOpCreation: Unique ID of the graph (generated by debugger).
getGraphId() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Unique ID of the graph (generated by debugger).
getGraphIdBytes() - Method in class org.tensorflow.proto.DebugEvent.Builder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
getGraphIdBytes() - Method in class org.tensorflow.proto.DebugEvent: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
getGraphIdBytes() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
getGraphIdBytes() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: An ID for the graph.
getGraphIdBytes() - Method in class org.tensorflow.proto.DebuggedGraph: An ID for the graph.
getGraphIdBytes() - Method in interface org.tensorflow.proto.DebuggedGraphOrBuilder: An ID for the graph.
getGraphIdBytes() - Method in class org.tensorflow.proto.Execution.Builder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
getGraphIdBytes() - Method in class org.tensorflow.proto.Execution: The graph that's executed: applicable only to the eager execution of a FuncGraph.
getGraphIdBytes() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
getGraphIdBytes() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Unique ID of the graph (generated by debugger).
getGraphIdBytes() - Method in class org.tensorflow.proto.GraphOpCreation: Unique ID of the graph (generated by debugger).
getGraphIdBytes() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Unique ID of the graph (generated by debugger).
getGraphInputNodeInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo: Input Node parameters of transferred graph
getGraphInputNodeInfo(int) - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph
getGraphInputNodeInfoBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfoBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfoCount() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfoCount() - Method in class org.tensorflow.proto.GraphTransferInfo: Input Node parameters of transferred graph
getGraphInputNodeInfoCount() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph
getGraphInputNodeInfoList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfoList() - Method in class org.tensorflow.proto.GraphTransferInfo: Input Node parameters of transferred graph
getGraphInputNodeInfoList() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph
getGraphInputNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo: Input Node parameters of transferred graph
getGraphInputNodeInfoOrBuilder(int) - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph
getGraphInputNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
getGraphInputNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo: Input Node parameters of transferred graph
getGraphInputNodeInfoOrBuilderList() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: Input Node parameters of transferred graph
getGraphName() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Name of the graph (if available).
getGraphName() - Method in class org.tensorflow.proto.DebuggedGraph: Name of the graph (if available).
getGraphName() - Method in interface org.tensorflow.proto.DebuggedGraphOrBuilder: Name of the graph (if available).
getGraphName() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the graph that the op is a part of (if available).
getGraphName() - Method in class org.tensorflow.proto.GraphOpCreation: Name of the graph that the op is a part of (if available).
getGraphName() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Name of the graph that the op is a part of (if available).
getGraphNameBytes() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Name of the graph (if available).
getGraphNameBytes() - Method in class org.tensorflow.proto.DebuggedGraph: Name of the graph (if available).
getGraphNameBytes() - Method in interface org.tensorflow.proto.DebuggedGraphOrBuilder: Name of the graph (if available).
getGraphNameBytes() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the graph that the op is a part of (if available).
getGraphNameBytes() - Method in class org.tensorflow.proto.GraphOpCreation: Name of the graph that the op is a part of (if available).
getGraphNameBytes() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Name of the graph that the op is a part of (if available).
getGraphOpCreation() - Method in class org.tensorflow.proto.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpCreation() - Method in class org.tensorflow.proto.DebugEvent: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpCreation() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpCreationBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpCreationOrBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpCreationOrBuilder() - Method in class org.tensorflow.proto.DebugEvent: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpCreationOrBuilder() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
getGraphOpName() - Method in class org.tensorflow.proto.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
getGraphOpName() - Method in class org.tensorflow.proto.ApiDef: Name of the op (in the OpDef) to specify the API for.
getGraphOpName() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: Name of the op (in the OpDef) to specify the API for.
getGraphOpNameBytes() - Method in class org.tensorflow.proto.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
getGraphOpNameBytes() - Method in class org.tensorflow.proto.ApiDef: Name of the op (in the OpDef) to specify the API for.
getGraphOpNameBytes() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: Name of the op (in the OpDef) to specify the API for.
getGraphOptions() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all graphs.
getGraphOptions() - Method in class org.tensorflow.proto.ConfigProto: Options that apply to all graphs.
getGraphOptions() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Options that apply to all graphs.
getGraphOptionsBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all graphs.
getGraphOptionsOrBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all graphs.
getGraphOptionsOrBuilder() - Method in class org.tensorflow.proto.ConfigProto: Options that apply to all graphs.
getGraphOptionsOrBuilder() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Options that apply to all graphs.
getGraphOutputNodeInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfo(int) - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoCount() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoCount() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoCount() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoList() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoList() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilder(int) - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getGraphOutputNodeInfoOrBuilderList() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
getHalfVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
getHalfVal(int) - Method in class org.tensorflow.proto.TensorProto: DT_HALF, DT_BFLOAT16.
getHalfVal(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_HALF, DT_BFLOAT16.
getHalfValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
getHalfValCount() - Method in class org.tensorflow.proto.TensorProto: DT_HALF, DT_BFLOAT16.
getHalfValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_HALF, DT_BFLOAT16.
getHalfValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
getHalfValList() - Method in class org.tensorflow.proto.TensorProto: DT_HALF, DT_BFLOAT16.
getHalfValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_HALF, DT_BFLOAT16.
getHandle() - Method in class org.tensorflow.proto.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
getHandle() - Method in class org.tensorflow.proto.MemoryLogStep: Handle describing the feeds and fetches of the step.
getHandle() - Method in interface org.tensorflow.proto.MemoryLogStepOrBuilder: Handle describing the feeds and fetches of the step.
getHandleBytes() - Method in class org.tensorflow.proto.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
getHandleBytes() - Method in class org.tensorflow.proto.MemoryLogStep: Handle describing the feeds and fetches of the step.
getHandleBytes() - Method in interface org.tensorflow.proto.MemoryLogStepOrBuilder: Handle describing the feeds and fetches of the step.
getHandleData() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
getHandleData() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
getHandleData() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResultOrBuilder: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
getHandleData(int) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleData(int) - Method in class org.tensorflow.proto.OpDef.ArgDef: The handle data for resource inputs.
getHandleData(int) - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: The handle data for resource inputs.
getHandleDataBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
getHandleDataBuilder(int) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleDataBuilderList() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleDataCount() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleDataCount() - Method in class org.tensorflow.proto.OpDef.ArgDef: The handle data for resource inputs.
getHandleDataCount() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: The handle data for resource inputs.
getHandleDataList() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleDataList() - Method in class org.tensorflow.proto.OpDef.ArgDef: The handle data for resource inputs.
getHandleDataList() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: The handle data for resource inputs.
getHandleDataOrBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
getHandleDataOrBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
getHandleDataOrBuilder() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResultOrBuilder: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
getHandleDataOrBuilder(int) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleDataOrBuilder(int) - Method in class org.tensorflow.proto.OpDef.ArgDef: The handle data for resource inputs.
getHandleDataOrBuilder(int) - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: The handle data for resource inputs.
getHandleDataOrBuilderList() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
getHandleDataOrBuilderList() - Method in class org.tensorflow.proto.OpDef.ArgDef: The handle data for resource inputs.
getHandleDataOrBuilderList() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: The handle data for resource inputs.
getHasCheckpointValues() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Whether this object has checkpoint values or descendants with checkpoint values.
getHasCheckpointValues() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Whether this object has checkpoint values or descendants with checkpoint values.
getHasCheckpointValues() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Whether this object has checkpoint values or descendants with checkpoint values.
getHasCheckpointValuesBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Whether this object has checkpoint values or descendants with checkpoint values.
getHasCheckpointValuesOrBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Whether this object has checkpoint values or descendants with checkpoint values.
getHasCheckpointValuesOrBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Whether this object has checkpoint values or descendants with checkpoint values.
getHasCheckpointValuesOrBuilder() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Whether this object has checkpoint values or descendants with checkpoint values.
getHash() - Method in class org.tensorflow.proto.CommitId.Builder: string hash = 2;
getHash() - Method in class org.tensorflow.proto.CommitId: string hash = 2;
getHash() - Method in interface org.tensorflow.proto.CommitIdOrBuilder: string hash = 2;
getHashBytes() - Method in class org.tensorflow.proto.CommitId.Builder: string hash = 2;
getHashBytes() - Method in class org.tensorflow.proto.CommitId: string hash = 2;
getHashBytes() - Method in interface org.tensorflow.proto.CommitIdOrBuilder: string hash = 2;
getHashCode() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Hash code for the type of the resource.
getHashCode() - Method in class org.tensorflow.proto.ResourceHandleProto: Hash code for the type of the resource.
getHashCode() - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: Hash code for the type of the resource.
getHasLengthCase() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
getHasLengthCase() - Method in class org.tensorflow.proto.TensorSliceProto.Extent
getHasLengthCase() - Method in interface org.tensorflow.proto.TensorSliceProto.ExtentOrBuilder
getHasMinimum() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: For type == "int", this is a minimum value.
getHasMinimum() - Method in class org.tensorflow.proto.OpDef.AttrDef: For type == "int", this is a minimum value.
getHasMinimum() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: For type == "int", this is a minimum value.
getHasSingleReference() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Set if this tensor only has one remaining reference
getHasSingleReference() - Method in class org.tensorflow.proto.AllocationDescription: Set if this tensor only has one remaining reference
getHasSingleReference() - Method in interface org.tensorflow.proto.AllocationDescriptionOrBuilder: Set if this tensor only has one remaining reference
getHealthStatus() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: .tensorflow.WorkerHealth health_status = 1;
getHealthStatus() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse: .tensorflow.WorkerHealth health_status = 1;
getHealthStatus() - Method in interface org.tensorflow.proto.WorkerHeartbeatResponseOrBuilder: .tensorflow.WorkerHealth health_status = 1;
getHealthStatusValue() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: .tensorflow.WorkerHealth health_status = 1;
getHealthStatusValue() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse: .tensorflow.WorkerHealth health_status = 1;
getHealthStatusValue() - Method in interface org.tensorflow.proto.WorkerHeartbeatResponseOrBuilder: .tensorflow.WorkerHealth health_status = 1;
getHeartbeatIntervalMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: How often the worker should heartbeat to the master.
getHeartbeatIntervalMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: How often the worker should heartbeat to the master.
getHeartbeatIntervalMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: How often the worker should heartbeat to the master.
getHeartbeatTimeoutInMs() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Heartbeat timeout, if a task does not record heartbeat in this time window, it will be considered disconnected.
getHeartbeatTimeoutInMs() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: Heartbeat timeout, if a task does not record heartbeat in this time window, it will be considered disconnected.
getHeartbeatTimeoutInMs() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: Heartbeat timeout, if a task does not record heartbeat in this time window, it will be considered disconnected.
getHeight() - Method in class org.tensorflow.proto.Summary.Image.Builder: Dimensions of the image.
getHeight() - Method in class org.tensorflow.proto.Summary.Image: Dimensions of the image.
getHeight() - Method in interface org.tensorflow.proto.Summary.ImageOrBuilder: Dimensions of the image.
getHisto() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
getHisto() - Method in class org.tensorflow.proto.Summary.Value: .tensorflow.HistogramProto histo = 5;
getHisto() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: .tensorflow.HistogramProto histo = 5;
getHistoBuilder() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
getHistoOrBuilder() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
getHistoOrBuilder() - Method in class org.tensorflow.proto.Summary.Value: .tensorflow.HistogramProto histo = 5;
getHistoOrBuilder() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: .tensorflow.HistogramProto histo = 5;
getHost() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: The host name on which a source code file is located.
getHost() - Method in class org.tensorflow.proto.DebuggedSourceFile: The host name on which a source code file is located.
getHost() - Method in interface org.tensorflow.proto.DebuggedSourceFileOrBuilder: The host name on which a source code file is located.
getHostBytes() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: The host name on which a source code file is located.
getHostBytes() - Method in class org.tensorflow.proto.DebuggedSourceFile: The host name on which a source code file is located.
getHostBytes() - Method in interface org.tensorflow.proto.DebuggedSourceFileOrBuilder: The host name on which a source code file is located.
getHostMemoryArg(int) - Method in class org.tensorflow.proto.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArg(int) - Method in class org.tensorflow.proto.KernelDef: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArg(int) - Method in interface org.tensorflow.proto.KernelDefOrBuilder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgBytes(int) - Method in class org.tensorflow.proto.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgBytes(int) - Method in class org.tensorflow.proto.KernelDef: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgBytes(int) - Method in interface org.tensorflow.proto.KernelDefOrBuilder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgCount() - Method in class org.tensorflow.proto.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgCount() - Method in class org.tensorflow.proto.KernelDef: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgCount() - Method in interface org.tensorflow.proto.KernelDefOrBuilder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgList() - Method in class org.tensorflow.proto.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgList() - Method in class org.tensorflow.proto.KernelDef: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostMemoryArgList() - Method in interface org.tensorflow.proto.KernelDefOrBuilder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
getHostname() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Host name of machine that ran the benchmark.
getHostname() - Method in class org.tensorflow.proto.MachineConfiguration: Host name of machine that ran the benchmark.
getHostname() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Host name of machine that ran the benchmark.
getHostname() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: string hostname = 3;
getHostname() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse: string hostname = 3;
getHostname() - Method in interface org.tensorflow.proto.WorkerHeartbeatResponseOrBuilder: string hostname = 3;
getHostName() - Method in class org.tensorflow.proto.CodeLocation.Builder: Host name on which the source files are located.
getHostName() - Method in class org.tensorflow.proto.CodeLocation: Host name on which the source files are located.
getHostName() - Method in interface org.tensorflow.proto.CodeLocationOrBuilder: Host name on which the source files are located.
getHostName() - Method in class org.tensorflow.proto.SourceFile.Builder: Name of the host on which the file is located.
getHostName() - Method in class org.tensorflow.proto.SourceFile: Name of the host on which the file is located.
getHostName() - Method in interface org.tensorflow.proto.SourceFileOrBuilder: Name of the host on which the file is located.
getHostnameBytes() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Host name of machine that ran the benchmark.
getHostnameBytes() - Method in class org.tensorflow.proto.MachineConfiguration: Host name of machine that ran the benchmark.
getHostnameBytes() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Host name of machine that ran the benchmark.
getHostnameBytes() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: string hostname = 3;
getHostnameBytes() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse: string hostname = 3;
getHostnameBytes() - Method in interface org.tensorflow.proto.WorkerHeartbeatResponseOrBuilder: string hostname = 3;
getHostNameBytes() - Method in class org.tensorflow.proto.CodeLocation.Builder: Host name on which the source files are located.
getHostNameBytes() - Method in class org.tensorflow.proto.CodeLocation: Host name on which the source files are located.
getHostNameBytes() - Method in interface org.tensorflow.proto.CodeLocationOrBuilder: Host name on which the source files are located.
getHostNameBytes() - Method in class org.tensorflow.proto.SourceFile.Builder: Name of the host on which the file is located.
getHostNameBytes() - Method in class org.tensorflow.proto.SourceFile: Name of the host on which the file is located.
getHostNameBytes() - Method in interface org.tensorflow.proto.SourceFileOrBuilder: Name of the host on which the file is located.
getHostnames(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: List of hostnames that XPlanes are generated from.
getHostnames(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: List of hostnames that XPlanes are generated from.
getHostnames(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: List of hostnames that XPlanes are generated from.
getHostnamesBytes(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: List of hostnames that XPlanes are generated from.
getHostnamesBytes(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: List of hostnames that XPlanes are generated from.
getHostnamesBytes(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: List of hostnames that XPlanes are generated from.
getHostnamesCount() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: List of hostnames that XPlanes are generated from.
getHostnamesCount() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: List of hostnames that XPlanes are generated from.
getHostnamesCount() - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: List of hostnames that XPlanes are generated from.
getHostnamesList() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: List of hostnames that XPlanes are generated from.
getHostnamesList() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: List of hostnames that XPlanes are generated from.
getHostnamesList() - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: List of hostnames that XPlanes are generated from.
getHostTempMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Deprecated.
tensorflow.CostGraphDef.Node.host_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=52
getHostTempMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node: Deprecated.
tensorflow.CostGraphDef.Node.host_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=52
getHostTempMemorySize() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: Deprecated.
tensorflow.CostGraphDef.Node.host_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=52
getHostTracerLevel() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Levels of host tracing: (version >= 1) - Level 0 is used to disable host traces. - Level 1 enables tracing of only user instrumented (or default) TraceMe. - Level 2 enables tracing of all level 1 TraceMe(s) and instrumented high level program execution details (expensive TF ops, XLA ops, etc).
getHostTracerLevel() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions: Levels of host tracing: (version >= 1) - Level 0 is used to disable host traces. - Level 1 enables tracing of only user instrumented (or default) TraceMe. - Level 2 enables tracing of all level 1 TraceMe(s) and instrumented high level program execution details (expensive TF ops, XLA ops, etc).
getHostTracerLevel() - Method in interface org.tensorflow.proto.ProfilerOptions.ProfileOptionsOrBuilder: Levels of host tracing: (version >= 1) - Level 0 is used to disable host traces. - Level 1 enables tracing of only user instrumented (or default) TraceMe. - Level 2 enables tracing of all level 1 TraceMe(s) and instrumented high level program execution details (expensive TF ops, XLA ops, etc).
getI() - Method in class org.tensorflow.proto.AttrValue.Builder: "int"
getI() - Method in class org.tensorflow.proto.AttrValue: "int"
getI() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "int"
getI() - Method in class org.tensorflow.proto.FullTypeDef.Builder: TODO(mdan): list/tensor, map?
getI() - Method in class org.tensorflow.proto.FullTypeDef: TODO(mdan): list/tensor, map?
getI() - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder: TODO(mdan): list/tensor, map?
getI(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(int)"
getI(int) - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(int)"
getI(int) - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(int)"
getICount() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(int)"
getICount() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(int)"
getICount() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(int)"
getId() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The id of the node.
getId() - Method in class org.tensorflow.proto.CostGraphDef.Node: The id of the node.
getId() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: The id of the node.
getId() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Unique node ID.
getId() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Unique node ID.
getId() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Unique node ID.
getId() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XPlane.event_metadata map key.
getId() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: XPlane.event_metadata map key.
getId() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: XPlane.event_metadata map key.
getId() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Id of this line, can be repeated within an XPlane.
getId() - Method in class org.tensorflow.proto.profiler.Xplane.XLine: Id of this line, can be repeated within an XPlane.
getId() - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: Id of this line, can be repeated within an XPlane.
getId() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: int64 id = 1;
getId() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: int64 id = 1;
getId() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: int64 id = 1;
getId() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: XPlane.stat_metadata map key.
getId() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata: XPlane.stat_metadata map key.
getId() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatMetadataOrBuilder: XPlane.stat_metadata map key.
getId() - Method in class org.tensorflow.proto.StackFrameWithId.Builder: A unique ID for the stack frame: A UUID-like string.
getId() - Method in class org.tensorflow.proto.StackFrameWithId: A unique ID for the stack frame: A UUID-like string.
getId() - Method in interface org.tensorflow.proto.StackFrameWithIdOrBuilder: A unique ID for the stack frame: A UUID-like string.
getIdBytes() - Method in class org.tensorflow.proto.StackFrameWithId.Builder: A unique ID for the stack frame: A UUID-like string.
getIdBytes() - Method in class org.tensorflow.proto.StackFrameWithId: A unique ID for the stack frame: A UUID-like string.
getIdBytes() - Method in interface org.tensorflow.proto.StackFrameWithIdOrBuilder: A unique ID for the stack frame: A UUID-like string.
getIdCounter() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: Counter for node IDs of this model.
getIdCounter() - Method in class org.tensorflow.proto.data.model.Model.ModelProto: Counter for node IDs of this model.
getIdCounter() - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: Counter for node IDs of this model.
getIdentifier() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Corresponds to a registration of the type to use in the loading program.
getIdentifier() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject: Corresponds to a registration of the type to use in the loading program.
getIdentifier() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObjectOrBuilder: Corresponds to a registration of the type to use in the loading program.
getIdentifierBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Corresponds to a registration of the type to use in the loading program.
getIdentifierBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject: Corresponds to a registration of the type to use in the loading program.
getIdentifierBytes() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObjectOrBuilder: Corresponds to a registration of the type to use in the loading program.
getIList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(int)"
getIList() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(int)"
getIList() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(int)"
getImage() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
getImage() - Method in class org.tensorflow.proto.Summary.Value: .tensorflow.Summary.Image image = 4;
getImage() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: .tensorflow.Summary.Image image = 4;
getImageBuilder() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
getImageOrBuilder() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
getImageOrBuilder() - Method in class org.tensorflow.proto.Summary.Value: .tensorflow.Summary.Image image = 4;
getImageOrBuilder() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: .tensorflow.Summary.Image image = 4;
getImplementationSelector() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Enable the swap of kernel implementations based on the device placement (default is ON).
getImplementationSelector() - Method in class org.tensorflow.proto.RewriterConfig: Enable the swap of kernel implementations based on the device placement (default is ON).
getImplementationSelector() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Enable the swap of kernel implementations based on the device placement (default is ON).
getImplementationSelectorValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Enable the swap of kernel implementations based on the device placement (default is ON).
getImplementationSelectorValue() - Method in class org.tensorflow.proto.RewriterConfig: Enable the swap of kernel implementations based on the device placement (default is ON).
getImplementationSelectorValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Enable the swap of kernel implementations based on the device placement (default is ON).
getInaccurate() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Are the costs inaccurate?
getInaccurate() - Method in class org.tensorflow.proto.CostGraphDef.Node: Are the costs inaccurate?
getInaccurate() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: Are the costs inaccurate?
getInArg(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArg(int) - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArg(int) - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgBuilder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgBuilderList() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgCount() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgCount() - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgCount() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgList() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgList() - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgList() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilder(int) - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilder(int) - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilderList() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilderList() - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getInArgOrBuilderList() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
getIncarnation() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: A device is assigned a global unique number each time it is initialized.
getIncarnation() - Method in class org.tensorflow.proto.DeviceAttributes: A device is assigned a global unique number each time it is initialized.
getIncarnation() - Method in interface org.tensorflow.proto.DeviceAttributesOrBuilder: A device is assigned a global unique number each time it is initialized.
getIncludeDatasetOps() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: We don't collect the dataset ops by default for better trace-viewer scalability.
getIncludeDatasetOps() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions: We don't collect the dataset ops by default for better trace-viewer scalability.
getIncludeDatasetOps() - Method in interface org.tensorflow.proto.ProfilerOptions.ProfileOptionsOrBuilder: We don't collect the dataset ops by default for better trace-viewer scalability.
getIndex() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Index of the output being set.
getIndex() - Method in class org.tensorflow.proto.MemoryLogTensorOutput: Index of the output being set.
getIndex() - Method in interface org.tensorflow.proto.MemoryLogTensorOutputOrBuilder: Index of the output being set.
getIndices() - Method in class org.tensorflow.framework.utils.SparseTensor: Gets the indices for the Sparse Tensor
getIndicesOutputTensorName() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
getIndicesOutputTensorName() - Method in class org.tensorflow.proto.VarLenFeatureProto: string indices_output_tensor_name = 3;
getIndicesOutputTensorName() - Method in interface org.tensorflow.proto.VarLenFeatureProtoOrBuilder: string indices_output_tensor_name = 3;
getIndicesOutputTensorNameBytes() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
getIndicesOutputTensorNameBytes() - Method in class org.tensorflow.proto.VarLenFeatureProto: string indices_output_tensor_name = 3;
getIndicesOutputTensorNameBytes() - Method in interface org.tensorflow.proto.VarLenFeatureProtoOrBuilder: string indices_output_tensor_name = 3;
getIndicesTensorName() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?
getIndicesTensorName() - Method in class org.tensorflow.proto.TensorInfo.CooSparse: The indices Tensor must have dtype int64 and shape [?
getIndicesTensorName() - Method in interface org.tensorflow.proto.TensorInfo.CooSparseOrBuilder: The indices Tensor must have dtype int64 and shape [?
getIndicesTensorNameBytes() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?
getIndicesTensorNameBytes() - Method in class org.tensorflow.proto.TensorInfo.CooSparse: The indices Tensor must have dtype int64 and shape [?
getIndicesTensorNameBytes() - Method in interface org.tensorflow.proto.TensorInfo.CooSparseOrBuilder: The indices Tensor must have dtype int64 and shape [?
getInferShapes() - Method in class org.tensorflow.proto.GraphOptions.Builder: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
getInferShapes() - Method in class org.tensorflow.proto.GraphOptions: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
getInferShapes() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
getInitializer() - Method in class org.tensorflow.framework.data.DatasetIterator
getInitializerName() - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the initializer op.
getInitializerName() - Method in class org.tensorflow.proto.VariableDef: Name of the initializer op.
getInitializerName() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Name of the initializer op.
getInitializerNameBytes() - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the initializer op.
getInitializerNameBytes() - Method in class org.tensorflow.proto.VariableDef: Name of the initializer op.
getInitializerNameBytes() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Name of the initializer op.
getInitialParallelism() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: int64 initial_parallelism = 5;
getInitialParallelism() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions: int64 initial_parallelism = 5;
getInitialParallelism() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder: int64 initial_parallelism = 5;
getInitialValueName() - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the tensor holding the variable's initial value.
getInitialValueName() - Method in class org.tensorflow.proto.VariableDef: Name of the tensor holding the variable's initial value.
getInitialValueName() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Name of the tensor holding the variable's initial value.
getInitialValueNameBytes() - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the tensor holding the variable's initial value.
getInitialValueNameBytes() - Method in class org.tensorflow.proto.VariableDef: Name of the tensor holding the variable's initial value.
getInitialValueNameBytes() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Name of the tensor holding the variable's initial value.
getInjectPrefetch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool inject_prefetch = 19;
getInjectPrefetch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool inject_prefetch = 19;
getInjectPrefetch() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool inject_prefetch = 19;
getInput(int) - Method in class org.tensorflow.proto.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInput(int) - Method in class org.tensorflow.proto.NodeDef: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInput(int) - Method in interface org.tensorflow.proto.NodeDefOrBuilder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputArg(int) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
getInputArg(int) - Method in class org.tensorflow.proto.OpDef: Description of the input(s).
getInputArg(int) - Method in interface org.tensorflow.proto.OpDefOrBuilder: Description of the input(s).
getInputArgBuilder(int) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
getInputArgBuilderList() - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
getInputArgCount() - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
getInputArgCount() - Method in class org.tensorflow.proto.OpDef: Description of the input(s).
getInputArgCount() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Description of the input(s).
getInputArgList() - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
getInputArgList() - Method in class org.tensorflow.proto.OpDef: Description of the input(s).
getInputArgList() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Description of the input(s).
getInputArgOrBuilder(int) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
getInputArgOrBuilder(int) - Method in class org.tensorflow.proto.OpDef: Description of the input(s).
getInputArgOrBuilder(int) - Method in interface org.tensorflow.proto.OpDefOrBuilder: Description of the input(s).
getInputArgOrBuilderList() - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
getInputArgOrBuilderList() - Method in class org.tensorflow.proto.OpDef: Description of the input(s).
getInputArgOrBuilderList() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Description of the input(s).
getInputBatchDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents batch in the input.
getInputBatchDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimension that represents batch in the input.
getInputBatchDimension() - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimension that represents batch in the input.
getInputBytes(int) - Method in class org.tensorflow.proto.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputBytes(int) - Method in class org.tensorflow.proto.NodeDef: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputBytes(int) - Method in interface org.tensorflow.proto.NodeDefOrBuilder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputCount() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 input_count = 6;
getInputCount() - Method in class org.tensorflow.proto.GraphTransferNodeInfo: int32 input_count = 6;
getInputCount() - Method in interface org.tensorflow.proto.GraphTransferNodeInfoOrBuilder: int32 input_count = 6;
getInputCount() - Method in class org.tensorflow.proto.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputCount() - Method in class org.tensorflow.proto.NodeDef: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputCount() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputFeatureDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents features in the input.
getInputFeatureDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimension that represents features in the input.
getInputFeatureDimension() - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimension that represents features in the input.
getInputInfo(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfo(int) - Method in class org.tensorflow.proto.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfo(int) - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoBuilderList() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoCount() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoCount() - Method in class org.tensorflow.proto.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoCount() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoList() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoList() - Method in class org.tensorflow.proto.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoList() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilder(int) - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilderList() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilderList() - Method in class org.tensorflow.proto.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputInfoOrBuilderList() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
getInputList() - Method in class org.tensorflow.proto.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputList() - Method in class org.tensorflow.proto.NodeDef: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputList() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
getInputNames(int) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Names of the input tensors to the op.
getInputNames(int) - Method in class org.tensorflow.proto.GraphOpCreation: Names of the input tensors to the op.
getInputNames(int) - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Names of the input tensors to the op.
getInputNamesBytes(int) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Names of the input tensors to the op.
getInputNamesBytes(int) - Method in class org.tensorflow.proto.GraphOpCreation: Names of the input tensors to the op.
getInputNamesBytes(int) - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Names of the input tensors to the op.
getInputNamesCount() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Names of the input tensors to the op.
getInputNamesCount() - Method in class org.tensorflow.proto.GraphOpCreation: Names of the input tensors to the op.
getInputNamesCount() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Names of the input tensors to the op.
getInputNamesList() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Names of the input tensors to the op.
getInputNamesList() - Method in class org.tensorflow.proto.GraphOpCreation: Names of the input tensors to the op.
getInputNamesList() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Names of the input tensors to the op.
getInputProcessingTimeCount() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: int64 input_processing_time_count = 13;
getInputProcessingTimeCount() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: int64 input_processing_time_count = 13;
getInputProcessingTimeCount() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: int64 input_processing_time_count = 13;
getInputProcessingTimeSum() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Statistic of inputs processing time history.
getInputProcessingTimeSum() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Statistic of inputs processing time history.
getInputProcessingTimeSum() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Statistic of inputs processing time history.
getInputs() - Method in class org.tensorflow.proto.SignatureDef.Builder: Deprecated.
getInputs() - Method in class org.tensorflow.proto.SignatureDef: Deprecated.
getInputs() - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Deprecated.
getInputs() - Method in class org.tensorflow.Signature: Returns the names of the inputs in this signature mapped to their expected data type, shape, and operand name
getInputs(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: IDs of inputs of this node.
getInputs(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: IDs of inputs of this node.
getInputs(int) - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: IDs of inputs of this node.
getInputs(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputs(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputs(int) - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsBuilder(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsBuilderList() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsCount() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: IDs of inputs of this node.
getInputsCount() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: IDs of inputs of this node.
getInputsCount() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: IDs of inputs of this node.
getInputsCount() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsCount() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsCount() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsCount() - Method in class org.tensorflow.proto.SignatureDef.Builder
getInputsCount() - Method in class org.tensorflow.proto.SignatureDef
getInputsCount() - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named input parameters.
getInputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: The input signature, if specified.
getInputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec: The input signature, if specified.
getInputSignature() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpecOrBuilder: The input signature, if specified.
getInputSignatureBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: The input signature, if specified.
getInputSignatureOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: The input signature, if specified.
getInputSignatureOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec: The input signature, if specified.
getInputSignatureOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpecOrBuilder: The input signature, if specified.
getInputsList() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: IDs of inputs of this node.
getInputsList() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: IDs of inputs of this node.
getInputsList() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: IDs of inputs of this node.
getInputsList() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsList() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsList() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsMap() - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input parameters.
getInputsMap() - Method in class org.tensorflow.proto.SignatureDef: Named input parameters.
getInputsMap() - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named input parameters.
getInputsOrBuilder(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsOrBuilder(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsOrBuilder(int) - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsOrBuilderList() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsOrBuilderList() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsOrBuilderList() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
getInputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input parameters.
getInputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.proto.SignatureDef: Named input parameters.
getInputsOrDefault(String, TensorInfo) - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named input parameters.
getInputsOrThrow(String) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input parameters.
getInputsOrThrow(String) - Method in class org.tensorflow.proto.SignatureDef: Named input parameters.
getInputsOrThrow(String) - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named input parameters.
getInputSpatialDimensions(int) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the input.
getInputSpatialDimensions(int) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimensions that represents spatial dimensions in the input.
getInputSpatialDimensions(int) - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimensions that represents spatial dimensions in the input.
getInputSpatialDimensionsCount() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the input.
getInputSpatialDimensionsCount() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimensions that represents spatial dimensions in the input.
getInputSpatialDimensionsCount() - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimensions that represents spatial dimensions in the input.
getInputSpatialDimensionsList() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the input.
getInputSpatialDimensionsList() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimensions that represents spatial dimensions in the input.
getInputSpatialDimensionsList() - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimensions that represents spatial dimensions in the input.
getInputTensorIds(int) - Method in class org.tensorflow.proto.Execution.Builder: IDs of the input tensors (if available).
getInputTensorIds(int) - Method in class org.tensorflow.proto.Execution: IDs of the input tensors (if available).
getInputTensorIds(int) - Method in interface org.tensorflow.proto.ExecutionOrBuilder: IDs of the input tensors (if available).
getInputTensorIdsCount() - Method in class org.tensorflow.proto.Execution.Builder: IDs of the input tensors (if available).
getInputTensorIdsCount() - Method in class org.tensorflow.proto.Execution: IDs of the input tensors (if available).
getInputTensorIdsCount() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: IDs of the input tensors (if available).
getInputTensorIdsList() - Method in class org.tensorflow.proto.Execution.Builder: IDs of the input tensors (if available).
getInputTensorIdsList() - Method in class org.tensorflow.proto.Execution: IDs of the input tensors (if available).
getInputTensorIdsList() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: IDs of the input tensors (if available).
getInputTensorsAsShapesNeeded(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_as_shapes_needed = 2;
getInputTensorsAsShapesNeeded(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded: repeated int32 input_tensors_as_shapes_needed = 2;
getInputTensorsAsShapesNeeded(int) - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeededOrBuilder: repeated int32 input_tensors_as_shapes_needed = 2;
getInputTensorsAsShapesNeededCount() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_as_shapes_needed = 2;
getInputTensorsAsShapesNeededCount() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded: repeated int32 input_tensors_as_shapes_needed = 2;
getInputTensorsAsShapesNeededCount() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeededOrBuilder: repeated int32 input_tensors_as_shapes_needed = 2;
getInputTensorsAsShapesNeededList() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_as_shapes_needed = 2;
getInputTensorsAsShapesNeededList() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded: repeated int32 input_tensors_as_shapes_needed = 2;
getInputTensorsAsShapesNeededList() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeededOrBuilder: repeated int32 input_tensors_as_shapes_needed = 2;
getInputTensorsNeeded(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_needed = 1;
getInputTensorsNeeded(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded: repeated int32 input_tensors_needed = 1;
getInputTensorsNeeded(int) - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeededOrBuilder: repeated int32 input_tensors_needed = 1;
getInputTensorsNeededCount() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_needed = 1;
getInputTensorsNeededCount() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded: repeated int32 input_tensors_needed = 1;
getInputTensorsNeededCount() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeededOrBuilder: repeated int32 input_tensors_needed = 1;
getInputTensorsNeededList() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_needed = 1;
getInputTensorsNeededList() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded: repeated int32 input_tensors_needed = 1;
getInputTensorsNeededList() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeededOrBuilder: repeated int32 input_tensors_needed = 1;
getInstance() - Method in enum org.tensorflow.framework.activations.Activations: Gets an Activation Instance
getInstance(Map) - Method in enum org.tensorflow.framework.activations.Activations: Gets an Activation Instance
getInstrumentedGraphDef() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: An encoded version of a GraphDef.
getInstrumentedGraphDef() - Method in class org.tensorflow.proto.DebuggedGraph: An encoded version of a GraphDef.
getInstrumentedGraphDef() - Method in interface org.tensorflow.proto.DebuggedGraphOrBuilder: An encoded version of a GraphDef.
getInstrumentedOps(int) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Names of the instrumented ops.
getInstrumentedOps(int) - Method in class org.tensorflow.proto.DebuggedGraph: Names of the instrumented ops.
getInstrumentedOps(int) - Method in interface org.tensorflow.proto.DebuggedGraphOrBuilder: Names of the instrumented ops.
getInstrumentedOpsBytes(int) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Names of the instrumented ops.
getInstrumentedOpsBytes(int) - Method in class org.tensorflow.proto.DebuggedGraph: Names of the instrumented ops.
getInstrumentedOpsBytes(int) - Method in interface org.tensorflow.proto.DebuggedGraphOrBuilder: Names of the instrumented ops.
getInstrumentedOpsCount() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Names of the instrumented ops.
getInstrumentedOpsCount() - Method in class org.tensorflow.proto.DebuggedGraph: Names of the instrumented ops.
getInstrumentedOpsCount() - Method in interface org.tensorflow.proto.DebuggedGraphOrBuilder: Names of the instrumented ops.
getInstrumentedOpsList() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Names of the instrumented ops.
getInstrumentedOpsList() - Method in class org.tensorflow.proto.DebuggedGraph: Names of the instrumented ops.
getInstrumentedOpsList() - Method in interface org.tensorflow.proto.DebuggedGraphOrBuilder: Names of the instrumented ops.
getInt64List() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64List() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64List() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64List() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.Int64List int64_list = 3;
getInt64List() - Method in class org.tensorflow.proto.Feature: .tensorflow.Int64List int64_list = 3;
getInt64List() - Method in interface org.tensorflow.proto.FeatureOrBuilder: .tensorflow.Int64List int64_list = 3;
getInt64ListBuilder() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64ListBuilder() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.Int64List int64_list = 3;
getInt64ListOrBuilder() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64ListOrBuilder() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64ListOrBuilder() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.Int64List int64_list = 3;
getInt64ListOrBuilder() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.Int64List int64_list = 3;
getInt64ListOrBuilder() - Method in class org.tensorflow.proto.Feature: .tensorflow.Int64List int64_list = 3;
getInt64ListOrBuilder() - Method in interface org.tensorflow.proto.FeatureOrBuilder: .tensorflow.Int64List int64_list = 3;
getInt64Val(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT64
getInt64Val(int) - Method in class org.tensorflow.proto.TensorProto: DT_INT64
getInt64Val(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_INT64
getInt64ValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT64
getInt64ValCount() - Method in class org.tensorflow.proto.TensorProto: DT_INT64
getInt64ValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_INT64
getInt64ValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT64
getInt64ValList() - Method in class org.tensorflow.proto.TensorProto: DT_INT64
getInt64ValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_INT64
getInt64Value() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: int64 int64_value = 4;
getInt64Value() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: int64 int64_value = 4;
getInt64Value() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: int64 int64_value = 4;
getInt64Value() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a signed integer value, limited to 64 bits.
getInt64Value() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a signed integer value, limited to 64 bits.
getInt64Value() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a signed integer value, limited to 64 bits.
getIntArray(Scope, Operand) - Static method in class org.tensorflow.framework.utils.ShapeUtils: Converts a TInt32 type Operand to a Java int array
getInternalFragmentationFraction() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: BFC Allocator can return an allocated chunk of memory upto 2x the requested size.
getInternalFragmentationFraction() - Method in class org.tensorflow.proto.GPUOptions.Experimental: BFC Allocator can return an allocated chunk of memory upto 2x the requested size.
getInternalFragmentationFraction() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: BFC Allocator can return an allocated chunk of memory upto 2x the requested size.
getInternalType() - Method in class org.tensorflow.framework.metrics.Accuracy: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.BinaryAccuracy: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.BinaryCrossentropy: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.CategoricalAccuracy: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.CategoricalCrossentropy: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.CategoricalHinge: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.CosineSimilarity: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.Hinge: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.KLDivergence: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.LogCoshError: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.Mean: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.MeanAbsoluteError: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.MeanRelativeError: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.MeanSquaredError: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.Poisson: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.RootMeanSquaredError: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.SquaredHinge: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.Sum: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Gets the type for the variables
getInternalType() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall
getInternalType() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision
getInternalType() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity
getInternalType() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity
getInterOpParallelismThreads() - Method in class org.tensorflow.proto.ConfigProto.Builder: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process. 0 means the system picks an appropriate number.
getInterOpParallelismThreads() - Method in class org.tensorflow.proto.ConfigProto: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process. 0 means the system picks an appropriate number.
getInterOpParallelismThreads() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process. 0 means the system picks an appropriate number.
getInterOpThreadPool() - Method in class org.tensorflow.proto.RunOptions.Builder: The thread pool to use, if session_inter_op_thread_pool is configured.
getInterOpThreadPool() - Method in class org.tensorflow.proto.RunOptions: The thread pool to use, if session_inter_op_thread_pool is configured.
getInterOpThreadPool() - Method in interface org.tensorflow.proto.RunOptionsOrBuilder: The thread pool to use, if session_inter_op_thread_pool is configured.
getInterOptimizerVerifierConfig() - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
getInterOptimizerVerifierConfig() - Method in class org.tensorflow.proto.RewriterConfig: VerifierConfig specifying the verifiers to be run after every optimizer.
getInterOptimizerVerifierConfig() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: VerifierConfig specifying the verifiers to be run after every optimizer.
getInterOptimizerVerifierConfigBuilder() - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
getInterOptimizerVerifierConfigOrBuilder() - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
getInterOptimizerVerifierConfigOrBuilder() - Method in class org.tensorflow.proto.RewriterConfig: VerifierConfig specifying the verifiers to be run after every optimizer.
getInterOptimizerVerifierConfigOrBuilder() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: VerifierConfig specifying the verifiers to be run after every optimizer.
getIntraOpParallelism() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder: int64 intra_op_parallelism = 1;
getIntraOpParallelism() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo: int64 intra_op_parallelism = 1;
getIntraOpParallelism() - Method in interface org.tensorflow.proto.OpPerformanceData.SessionInfoOrBuilder: int64 intra_op_parallelism = 1;
getIntraOpParallelismThreads() - Method in class org.tensorflow.proto.ConfigProto.Builder: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads. 0 means the system picks an appropriate number.
getIntraOpParallelismThreads() - Method in class org.tensorflow.proto.ConfigProto: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads. 0 means the system picks an appropriate number.
getIntraOpParallelismThreads() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads. 0 means the system picks an appropriate number.
getIntVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntVal(int) - Method in class org.tensorflow.proto.TensorProto: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntVal(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntValCount() - Method in class org.tensorflow.proto.TensorProto: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntValList() - Method in class org.tensorflow.proto.TensorProto: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getIntValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
getInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: bool in_use = 8;
getInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk: bool in_use = 8;
getInUse() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemChunkOrBuilder: bool in_use = 8;
getIsAggregate() - Method in class org.tensorflow.proto.OpDef.Builder: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
getIsAggregate() - Method in class org.tensorflow.proto.OpDef: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
getIsAggregate() - Method in interface org.tensorflow.proto.OpDefOrBuilder: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
getIsCommutative() - Method in class org.tensorflow.proto.OpDef.Builder: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
getIsCommutative() - Method in class org.tensorflow.proto.OpDef: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
getIsCommutative() - Method in interface org.tensorflow.proto.OpDefOrBuilder: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
getIsDistributedCommunication() - Method in class org.tensorflow.proto.OpDef.Builder: Indicates whether the op implementation uses distributed communication.
getIsDistributedCommunication() - Method in class org.tensorflow.proto.OpDef: Indicates whether the op implementation uses distributed communication.
getIsDistributedCommunication() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Indicates whether the op implementation uses distributed communication.
getIsFinal() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
getIsFinal() - Method in class org.tensorflow.proto.CostGraphDef.Node: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
getIsFinal() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
getIsMethod() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: Whether this represents a class method.
getIsMethod() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec: Whether this represents a class method.
getIsMethod() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpecOrBuilder: Whether this represents a class method.
getIsolateSessionState() - Method in class org.tensorflow.proto.ConfigProto.Builder: If true, any resources such as Variables used in the session will not be shared with other sessions.
getIsolateSessionState() - Method in class org.tensorflow.proto.ConfigProto: If true, any resources such as Variables used in the session will not be shared with other sessions.
getIsolateSessionState() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: If true, any resources such as Variables used in the session will not be shared with other sessions.
getIsRef() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: For inputs: if true, the inputs are required to be refs.
getIsRef() - Method in class org.tensorflow.proto.OpDef.ArgDef: For inputs: if true, the inputs are required to be refs.
getIsRef() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: For inputs: if true, the inputs are required to be refs.
getIsResource() - Method in class org.tensorflow.proto.VariableDef.Builder: Whether to represent this as a ResourceVariable.
getIsResource() - Method in class org.tensorflow.proto.VariableDef: Whether to represent this as a ResourceVariable.
getIsResource() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Whether to represent this as a ResourceVariable.
getIsSet() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: bool is_set = 1;
getIsSet() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData: bool is_set = 1;
getIsSet() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleDataOrBuilder: bool is_set = 1;
getIsStateful() - Method in class org.tensorflow.proto.OpDef.Builder: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. variable reading op) or if they have a side-effect (e.g. printing or asserting ops).
getIsStateful() - Method in class org.tensorflow.proto.OpDef: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. variable reading op) or if they have a side-effect (e.g. printing or asserting ops).
getIsStateful() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. variable reading op) or if they have a side-effect (e.g. printing or asserting ops).
getIteratorResource() - Method in class org.tensorflow.framework.data.DatasetIterator
getIters() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: If a benchmark, how many iterations it was run for
getIters() - Method in class org.tensorflow.proto.BenchmarkEntry: If a benchmark, how many iterations it was run for
getIters() - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: If a benchmark, how many iterations it was run for
getJitCompile() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
getJitCompile() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
getJitCompile() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpecOrBuilder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
getJitCompileValue() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
getJitCompileValue() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
getJitCompileValue() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpecOrBuilder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
getJob(int) - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
getJob(int) - Method in class org.tensorflow.proto.ClusterDef: The jobs that comprise the cluster.
getJob(int) - Method in interface org.tensorflow.proto.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobBuilder(int) - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
getJobBuilderList() - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
getJobCount() - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
getJobCount() - Method in class org.tensorflow.proto.ClusterDef: The jobs that comprise the cluster.
getJobCount() - Method in interface org.tensorflow.proto.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobGcCheckIntervalMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How often the dispatcher should scan through to delete old and unused jobs.
getJobGcCheckIntervalMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: How often the dispatcher should scan through to delete old and unused jobs.
getJobGcCheckIntervalMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: How often the dispatcher should scan through to delete old and unused jobs.
getJobGcTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long a job needs to be unused before it becomes a candidate for garbage collection.
getJobGcTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: How long a job needs to be unused before it becomes a candidate for garbage collection.
getJobGcTimeoutMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: How long a job needs to be unused before it becomes a candidate for garbage collection.
getJobList() - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
getJobList() - Method in class org.tensorflow.proto.ClusterDef: The jobs that comprise the cluster.
getJobList() - Method in interface org.tensorflow.proto.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobName() - Method in class org.tensorflow.proto.ServerDef.Builder: The name of the job of which this server is a member.
getJobName() - Method in class org.tensorflow.proto.ServerDef: The name of the job of which this server is a member.
getJobName() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: The name of the job of which this server is a member.
getJobNameBytes() - Method in class org.tensorflow.proto.ServerDef.Builder: The name of the job of which this server is a member.
getJobNameBytes() - Method in class org.tensorflow.proto.ServerDef: The name of the job of which this server is a member.
getJobNameBytes() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: The name of the job of which this server is a member.
getJobOrBuilder(int) - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
getJobOrBuilder(int) - Method in class org.tensorflow.proto.ClusterDef: The jobs that comprise the cluster.
getJobOrBuilder(int) - Method in interface org.tensorflow.proto.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobOrBuilderList() - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
getJobOrBuilderList() - Method in class org.tensorflow.proto.ClusterDef: The jobs that comprise the cluster.
getJobOrBuilderList() - Method in interface org.tensorflow.proto.ClusterDefOrBuilder: The jobs that comprise the cluster.
getJobs(int) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobs(int) - Method in class org.tensorflow.proto.ClusterDeviceFilters: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobs(int) - Method in interface org.tensorflow.proto.ClusterDeviceFiltersOrBuilder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsBuilder(int) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsBuilderList() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsCount() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsCount() - Method in class org.tensorflow.proto.ClusterDeviceFilters: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsCount() - Method in interface org.tensorflow.proto.ClusterDeviceFiltersOrBuilder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsList() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsList() - Method in class org.tensorflow.proto.ClusterDeviceFilters: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsList() - Method in interface org.tensorflow.proto.ClusterDeviceFiltersOrBuilder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsOrBuilder(int) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsOrBuilder(int) - Method in class org.tensorflow.proto.ClusterDeviceFilters: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsOrBuilder(int) - Method in interface org.tensorflow.proto.ClusterDeviceFiltersOrBuilder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsOrBuilderList() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsOrBuilderList() - Method in class org.tensorflow.proto.ClusterDeviceFilters: repeated .tensorflow.JobDeviceFilters jobs = 1;
getJobsOrBuilderList() - Method in interface org.tensorflow.proto.ClusterDeviceFiltersOrBuilder: repeated .tensorflow.JobDeviceFilters jobs = 1;
getKeepCheckpointEveryNHours() - Method in class org.tensorflow.proto.SaverDef.Builder: How often to keep an additional checkpoint.
getKeepCheckpointEveryNHours() - Method in class org.tensorflow.proto.SaverDef: How often to keep an additional checkpoint.
getKeepCheckpointEveryNHours() - Method in interface org.tensorflow.proto.SaverDefOrBuilder: How often to keep an additional checkpoint.
getKernel(int) - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernel(int) - Method in class org.tensorflow.proto.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernel(int) - Method in interface org.tensorflow.proto.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelBuilder(int) - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelBuilderList() - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelCount() - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelCount() - Method in class org.tensorflow.proto.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernelCount() - Method in interface org.tensorflow.proto.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelInputFeatureDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents input features in the kernel (rhs).
getKernelInputFeatureDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimension that represents input features in the kernel (rhs).
getKernelInputFeatureDimension() - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimension that represents input features in the kernel (rhs).
getKernelList() - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelList() - Method in class org.tensorflow.proto.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernelList() - Method in interface org.tensorflow.proto.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelName() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - Method in interface org.tensorflow.proto.MemoryLogTensorAllocationOrBuilder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - Method in class org.tensorflow.proto.MemoryLogTensorOutput: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelName() - Method in interface org.tensorflow.proto.MemoryLogTensorOutputOrBuilder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - Method in interface org.tensorflow.proto.MemoryLogTensorAllocationOrBuilder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - Method in class org.tensorflow.proto.MemoryLogTensorOutput: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelNameBytes() - Method in interface org.tensorflow.proto.MemoryLogTensorOutputOrBuilder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
getKernelOrBuilder(int) - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilder(int) - Method in class org.tensorflow.proto.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilder(int) - Method in interface org.tensorflow.proto.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilderList() - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilderList() - Method in class org.tensorflow.proto.KernelList: repeated .tensorflow.KernelDef kernel = 1;
getKernelOrBuilderList() - Method in interface org.tensorflow.proto.KernelListOrBuilder: repeated .tensorflow.KernelDef kernel = 1;
getKernelOutputFeatureDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents output features in the kernel (rhs).
getKernelOutputFeatureDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimension that represents output features in the kernel (rhs).
getKernelOutputFeatureDimension() - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimension that represents output features in the kernel (rhs).
getKernelSpatialDimensions(int) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the kernel (rhs).
getKernelSpatialDimensions(int) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimensions that represents spatial dimensions in the kernel (rhs).
getKernelSpatialDimensions(int) - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimensions that represents spatial dimensions in the kernel (rhs).
getKernelSpatialDimensionsCount() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the kernel (rhs).
getKernelSpatialDimensionsCount() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimensions that represents spatial dimensions in the kernel (rhs).
getKernelSpatialDimensionsCount() - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimensions that represents spatial dimensions in the kernel (rhs).
getKernelSpatialDimensionsList() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the kernel (rhs).
getKernelSpatialDimensionsList() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimensions that represents spatial dimensions in the kernel (rhs).
getKernelSpatialDimensionsList() - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimensions that represents spatial dimensions in the kernel (rhs).
getKernelTrackerMaxBytes() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.
getKernelTrackerMaxBytes() - Method in class org.tensorflow.proto.GPUOptions.Experimental: If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.
getKernelTrackerMaxBytes() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.
getKernelTrackerMaxInterval() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: Parameters for GPUKernelTracker.
getKernelTrackerMaxInterval() - Method in class org.tensorflow.proto.GPUOptions.Experimental: Parameters for GPUKernelTracker.
getKernelTrackerMaxInterval() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: Parameters for GPUKernelTracker.
getKernelTrackerMaxPending() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.
getKernelTrackerMaxPending() - Method in class org.tensorflow.proto.GPUOptions.Experimental: If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.
getKernelTrackerMaxPending() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.
getKey() - Method in class org.tensorflow.proto.Struct.PairValue.Builder: string key = 1;
getKey() - Method in class org.tensorflow.proto.Struct.PairValue: string key = 1;
getKey() - Method in interface org.tensorflow.proto.Struct.PairValueOrBuilder: string key = 1;
getKeyBytes() - Method in class org.tensorflow.proto.Struct.PairValue.Builder: string key = 1;
getKeyBytes() - Method in class org.tensorflow.proto.Struct.PairValue: string key = 1;
getKeyBytes() - Method in interface org.tensorflow.proto.Struct.PairValueOrBuilder: string key = 1;
getKindCase() - Method in class org.tensorflow.proto.CollectionDef.Builder
getKindCase() - Method in class org.tensorflow.proto.CollectionDef
getKindCase() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder
getKindCase() - Method in class org.tensorflow.proto.CommitId.Builder
getKindCase() - Method in class org.tensorflow.proto.CommitId
getKindCase() - Method in interface org.tensorflow.proto.CommitIdOrBuilder
getKindCase() - Method in class org.tensorflow.proto.EntryValue.Builder
getKindCase() - Method in class org.tensorflow.proto.EntryValue
getKindCase() - Method in interface org.tensorflow.proto.EntryValueOrBuilder
getKindCase() - Method in class org.tensorflow.proto.Feature.Builder
getKindCase() - Method in class org.tensorflow.proto.Feature
getKindCase() - Method in interface org.tensorflow.proto.FeatureOrBuilder
getKindCase() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
getKindCase() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
getKindCase() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder
getKindCase() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
getKindCase() - Method in class org.tensorflow.proto.Struct.StructuredValue
getKindCase() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder
getL1() - Method in class org.tensorflow.framework.regularizers.L1L2: Gets the L1 regularization factor
getL1CacheSize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: L1 cache size in bytes
getL1CacheSize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: L1 cache size in bytes
getL1CacheSize() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: L1 cache size in bytes
getL2() - Method in class org.tensorflow.framework.regularizers.L1L2: Gets the L2 regularization factor
getL2CacheSize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: L2 cache size in bytes
getL2CacheSize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: L2 cache size in bytes
getL2CacheSize() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: L2 cache size in bytes
getL3CacheSize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: L3 cache size in bytes
getL3CacheSize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: L3 cache size in bytes
getL3CacheSize() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: L3 cache size in bytes
getLabel() - Method in class org.tensorflow.proto.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabel() - Method in class org.tensorflow.proto.KernelDef: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabel() - Method in interface org.tensorflow.proto.KernelDefOrBuilder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabelBytes() - Method in class org.tensorflow.proto.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabelBytes() - Method in class org.tensorflow.proto.KernelDef: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabelBytes() - Method in interface org.tensorflow.proto.KernelDefOrBuilder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
getLabelWeights() - Method in class org.tensorflow.framework.metrics.AUC
getLargestAllocSize() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: int64 largest_alloc_size = 4;
getLargestAllocSize() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats: int64 largest_alloc_size = 4;
getLargestAllocSize() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemAllocatorStatsOrBuilder: int64 largest_alloc_size = 4;
getLastModified() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: The timestamp at which the source code file is last modified.
getLastModified() - Method in class org.tensorflow.proto.DebuggedSourceFile: The timestamp at which the source code file is last modified.
getLastModified() - Method in interface org.tensorflow.proto.DebuggedSourceFileOrBuilder: The timestamp at which the source code file is last modified.
getLayoutOptimizer() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizer() - Method in class org.tensorflow.proto.RewriterConfig: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizer() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizerValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizerValue() - Method in class org.tensorflow.proto.RewriterConfig: Optimize tensor layouts (default is ON) e.g.
getLayoutOptimizerValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Optimize tensor layouts (default is ON) e.g.
getLength() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder: uint64 length = 3;
getLength() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement: uint64 length = 3;
getLength() - Method in interface org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElementOrBuilder: uint64 length = 3;
getLength() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder: int64 length = 2;
getLength() - Method in class org.tensorflow.proto.TensorSliceProto.Extent: int64 length = 2;
getLength() - Method in interface org.tensorflow.proto.TensorSliceProto.ExtentOrBuilder: int64 length = 2;
getLengthFrames() - Method in class org.tensorflow.proto.Summary.Audio.Builder: Length of the audio in frames (samples per channel).
getLengthFrames() - Method in class org.tensorflow.proto.Summary.Audio: Length of the audio in frames (samples per channel).
getLengthFrames() - Method in interface org.tensorflow.proto.Summary.AudioOrBuilder: Length of the audio in frames (samples per channel).
getLevel() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
getLevel() - Method in class org.tensorflow.proto.LogMessage: Deprecated.

.tensorflow.LogMessage.Level level = 1;
getLevel() - Method in interface org.tensorflow.proto.LogMessageOrBuilder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
getLevelValue() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
getLevelValue() - Method in class org.tensorflow.proto.LogMessage: Deprecated.

.tensorflow.LogMessage.Level level = 1;
getLevelValue() - Method in interface org.tensorflow.proto.LogMessageOrBuilder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
getLibrary() - Method in class org.tensorflow.proto.GraphDef.Builder: "library" provides user-defined functions.
getLibrary() - Method in class org.tensorflow.proto.GraphDef: "library" provides user-defined functions.
getLibrary() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: "library" provides user-defined functions.
getLibraryBuilder() - Method in class org.tensorflow.proto.GraphDef.Builder: "library" provides user-defined functions.
getLibraryOrBuilder() - Method in class org.tensorflow.proto.GraphDef.Builder: "library" provides user-defined functions.
getLibraryOrBuilder() - Method in class org.tensorflow.proto.GraphDef: "library" provides user-defined functions.
getLibraryOrBuilder() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: "library" provides user-defined functions.
getLine() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Line number in the file.
getLine() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: Line number in the file.
getLine() - Method in interface org.tensorflow.proto.GraphDebugInfo.FileLineColOrBuilder: Line number in the file.
getLines(int) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
getLines(int) - Method in class org.tensorflow.proto.DebuggedSourceFile: Line-by-line content of the source code file.
getLines(int) - Method in interface org.tensorflow.proto.DebuggedSourceFileOrBuilder: Line-by-line content of the source code file.
getLines(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
getLines(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: Parallel timelines grouped in this plane.
getLines(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: Parallel timelines grouped in this plane.
getLines(int) - Method in class org.tensorflow.proto.SourceFile.Builder: Line-by-line content of the file.
getLines(int) - Method in class org.tensorflow.proto.SourceFile: Line-by-line content of the file.
getLines(int) - Method in interface org.tensorflow.proto.SourceFileOrBuilder: Line-by-line content of the file.
getLinesBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
getLinesBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
getLinesBytes(int) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
getLinesBytes(int) - Method in class org.tensorflow.proto.DebuggedSourceFile: Line-by-line content of the source code file.
getLinesBytes(int) - Method in interface org.tensorflow.proto.DebuggedSourceFileOrBuilder: Line-by-line content of the source code file.
getLinesBytes(int) - Method in class org.tensorflow.proto.SourceFile.Builder: Line-by-line content of the file.
getLinesBytes(int) - Method in class org.tensorflow.proto.SourceFile: Line-by-line content of the file.
getLinesBytes(int) - Method in interface org.tensorflow.proto.SourceFileOrBuilder: Line-by-line content of the file.
getLinesCount() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
getLinesCount() - Method in class org.tensorflow.proto.DebuggedSourceFile: Line-by-line content of the source code file.
getLinesCount() - Method in interface org.tensorflow.proto.DebuggedSourceFileOrBuilder: Line-by-line content of the source code file.
getLinesCount() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
getLinesCount() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: Parallel timelines grouped in this plane.
getLinesCount() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: Parallel timelines grouped in this plane.
getLinesCount() - Method in class org.tensorflow.proto.SourceFile.Builder: Line-by-line content of the file.
getLinesCount() - Method in class org.tensorflow.proto.SourceFile: Line-by-line content of the file.
getLinesCount() - Method in interface org.tensorflow.proto.SourceFileOrBuilder: Line-by-line content of the file.
getLinesList() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
getLinesList() - Method in class org.tensorflow.proto.DebuggedSourceFile: Line-by-line content of the source code file.
getLinesList() - Method in interface org.tensorflow.proto.DebuggedSourceFileOrBuilder: Line-by-line content of the source code file.
getLinesList() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
getLinesList() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: Parallel timelines grouped in this plane.
getLinesList() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: Parallel timelines grouped in this plane.
getLinesList() - Method in class org.tensorflow.proto.SourceFile.Builder: Line-by-line content of the file.
getLinesList() - Method in class org.tensorflow.proto.SourceFile: Line-by-line content of the file.
getLinesList() - Method in interface org.tensorflow.proto.SourceFileOrBuilder: Line-by-line content of the file.
getLinesOrBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
getLinesOrBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: Parallel timelines grouped in this plane.
getLinesOrBuilder(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: Parallel timelines grouped in this plane.
getLinesOrBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
getLinesOrBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: Parallel timelines grouped in this plane.
getLinesOrBuilderList() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: Parallel timelines grouped in this plane.
getLink(int) - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLink(int) - Method in class org.tensorflow.proto.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLink(int) - Method in interface org.tensorflow.proto.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinkage() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
getLinkage() - Method in class org.tensorflow.proto.PlatformInfo: e.g.
getLinkage() - Method in interface org.tensorflow.proto.PlatformInfoOrBuilder: e.g.
getLinkageBytes() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
getLinkageBytes() - Method in class org.tensorflow.proto.PlatformInfo: e.g.
getLinkageBytes() - Method in interface org.tensorflow.proto.PlatformInfoOrBuilder: e.g.
getLinkBuilder(int) - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkBuilderList() - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkCount() - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkCount() - Method in class org.tensorflow.proto.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLinkCount() - Method in interface org.tensorflow.proto.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinkList() - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkList() - Method in class org.tensorflow.proto.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLinkList() - Method in interface org.tensorflow.proto.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilder(int) - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilder(int) - Method in class org.tensorflow.proto.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilder(int) - Method in interface org.tensorflow.proto.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilderList() - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilderList() - Method in class org.tensorflow.proto.LocalLinks: repeated .tensorflow.InterconnectLink link = 1;
getLinkOrBuilderList() - Method in interface org.tensorflow.proto.LocalLinksOrBuilder: repeated .tensorflow.InterconnectLink link = 1;
getLinks() - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional local interconnect links to other devices.
getLinks() - Method in class org.tensorflow.proto.DeviceLocality: Optional local interconnect links to other devices.
getLinks() - Method in interface org.tensorflow.proto.DeviceLocalityOrBuilder: Optional local interconnect links to other devices.
getLinksBuilder() - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional local interconnect links to other devices.
getLinksOrBuilder() - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional local interconnect links to other devices.
getLinksOrBuilder() - Method in class org.tensorflow.proto.DeviceLocality: Optional local interconnect links to other devices.
getLinksOrBuilder() - Method in interface org.tensorflow.proto.DeviceLocalityOrBuilder: Optional local interconnect links to other devices.
getList() - Method in class org.tensorflow.proto.AttrValue.Builder: any "list(...)"
getList() - Method in class org.tensorflow.proto.AttrValue: any "list(...)"
getList() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: any "list(...)"
getListBuilder() - Method in class org.tensorflow.proto.AttrValue.Builder: any "list(...)"
getListOrBuilder() - Method in class org.tensorflow.proto.AttrValue.Builder: any "list(...)"
getListOrBuilder() - Method in class org.tensorflow.proto.AttrValue: any "list(...)"
getListOrBuilder() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: any "list(...)"
getListValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a list of `Value`.
getListValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a list of `Value`.
getListValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a list of `Value`.
getListValueBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a list of `Value`.
getListValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a list of `Value`.
getListValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a list of `Value`.
getListValueOrBuilder() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a list of `Value`.
getLiveBytes() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The bytes that are not deallocated.
getLiveBytes() - Method in class org.tensorflow.proto.AllocatorMemoryUsed: The bytes that are not deallocated.
getLiveBytes() - Method in interface org.tensorflow.proto.AllocatorMemoryUsedOrBuilder: The bytes that are not deallocated.
getLocality() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocality() - Method in class org.tensorflow.proto.DeviceAttributes: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocality() - Method in interface org.tensorflow.proto.DeviceAttributesOrBuilder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalityBuilder() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalityOrBuilder() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalityOrBuilder() - Method in class org.tensorflow.proto.DeviceAttributes: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalityOrBuilder() - Method in interface org.tensorflow.proto.DeviceAttributesOrBuilder: Platform-specific data about device that may be useful for supporting efficient data transfers.
getLocalName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: A user-provided name for the edge.
getLocalName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference: A user-provided name for the edge.
getLocalName() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReferenceOrBuilder: A user-provided name for the edge.
getLocalNameBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: A user-provided name for the edge.
getLocalNameBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference: A user-provided name for the edge.
getLocalNameBytes() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReferenceOrBuilder: A user-provided name for the edge.
getLogDevicePlacement() - Method in class org.tensorflow.proto.ConfigProto.Builder: Whether device placements should be logged.
getLogDevicePlacement() - Method in class org.tensorflow.proto.ConfigProto: Whether device placements should be logged.
getLogDevicePlacement() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Whether device placements should be logged.
getLogMessage() - Method in class org.tensorflow.proto.Event.Builder: Deprecated.
tensorflow.Event.log_message is deprecated. See tensorflow/core/util/event.proto;l=34
getLogMessage() - Method in class org.tensorflow.proto.Event: Deprecated.
tensorflow.Event.log_message is deprecated. See tensorflow/core/util/event.proto;l=34
getLogMessage() - Method in interface org.tensorflow.proto.EventOrBuilder: Deprecated.
tensorflow.Event.log_message is deprecated. See tensorflow/core/util/event.proto;l=34
getLogMessageBuilder() - Method in class org.tensorflow.proto.Event.Builder: Deprecated.
getLogMessageOrBuilder() - Method in class org.tensorflow.proto.Event.Builder: Deprecated.
getLogMessageOrBuilder() - Method in class org.tensorflow.proto.Event: Deprecated.
getLogMessageOrBuilder() - Method in interface org.tensorflow.proto.EventOrBuilder: Deprecated.
getLongArray(Scope, Operand) - Static method in class org.tensorflow.framework.utils.ShapeUtils: Converts a TInt32 or TInt64 Operand to a java long array
getLongArray(T) - Static method in class org.tensorflow.framework.utils.ShapeUtils: Converts a TInt32 or TInt64 to a java long array
getLoopEnterNames(int) - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for enter tensors.
getLoopEnterNames(int) - Method in class org.tensorflow.proto.WhileContextDef: List of names for enter tensors.
getLoopEnterNames(int) - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: List of names for enter tensors.
getLoopEnterNamesBytes(int) - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for enter tensors.
getLoopEnterNamesBytes(int) - Method in class org.tensorflow.proto.WhileContextDef: List of names for enter tensors.
getLoopEnterNamesBytes(int) - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: List of names for enter tensors.
getLoopEnterNamesCount() - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for enter tensors.
getLoopEnterNamesCount() - Method in class org.tensorflow.proto.WhileContextDef: List of names for enter tensors.
getLoopEnterNamesCount() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: List of names for enter tensors.
getLoopEnterNamesList() - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for enter tensors.
getLoopEnterNamesList() - Method in class org.tensorflow.proto.WhileContextDef: List of names for enter tensors.
getLoopEnterNamesList() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: List of names for enter tensors.
getLoopExitNames(int) - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for exit tensors.
getLoopExitNames(int) - Method in class org.tensorflow.proto.WhileContextDef: List of names for exit tensors.
getLoopExitNames(int) - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: List of names for exit tensors.
getLoopExitNamesBytes(int) - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for exit tensors.
getLoopExitNamesBytes(int) - Method in class org.tensorflow.proto.WhileContextDef: List of names for exit tensors.
getLoopExitNamesBytes(int) - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: List of names for exit tensors.
getLoopExitNamesCount() - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for exit tensors.
getLoopExitNamesCount() - Method in class org.tensorflow.proto.WhileContextDef: List of names for exit tensors.
getLoopExitNamesCount() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: List of names for exit tensors.
getLoopExitNamesList() - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for exit tensors.
getLoopExitNamesList() - Method in class org.tensorflow.proto.WhileContextDef: List of names for exit tensors.
getLoopExitNamesList() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: List of names for exit tensors.
getLoopOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Loop optimizations (default is ON).
getLoopOptimization() - Method in class org.tensorflow.proto.RewriterConfig: Loop optimizations (default is ON).
getLoopOptimization() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Loop optimizations (default is ON).
getLoopOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Loop optimizations (default is ON).
getLoopOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig: Loop optimizations (default is ON).
getLoopOptimizationValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Loop optimizations (default is ON).
getLoss() - Method in class org.tensorflow.framework.metrics.Accuracy: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.BinaryAccuracy: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.BinaryCrossentropy: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.CategoricalAccuracy: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.CategoricalCrossentropy: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.CategoricalHinge: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.CosineSimilarity: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.Hinge: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.KLDivergence: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.LogCoshError: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.MeanAbsoluteError: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.MeanSquaredError: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.Poisson: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.SquaredHinge: Gets the loss function.
getLoss() - Method in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Gets the loss function.
getMachine() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
getMachine() - Method in class org.tensorflow.proto.PlatformInfo: e.g.
getMachine() - Method in interface org.tensorflow.proto.PlatformInfoOrBuilder: e.g.
getMachineBytes() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
getMachineBytes() - Method in class org.tensorflow.proto.PlatformInfo: e.g.
getMachineBytes() - Method in interface org.tensorflow.proto.PlatformInfoOrBuilder: e.g.
getMachineConfiguration() - Method in class org.tensorflow.proto.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
getMachineConfiguration() - Method in class org.tensorflow.proto.TestResults: Machine-specific parameters (Platform and CPU info)
getMachineConfiguration() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: Machine-specific parameters (Platform and CPU info)
getMachineConfigurationBuilder() - Method in class org.tensorflow.proto.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
getMachineConfigurationOrBuilder() - Method in class org.tensorflow.proto.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
getMachineConfigurationOrBuilder() - Method in class org.tensorflow.proto.TestResults: Machine-specific parameters (Platform and CPU info)
getMachineConfigurationOrBuilder() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: Machine-specific parameters (Platform and CPU info)
getMapAndBatchFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_and_batch_fusion = 9;
getMapAndBatchFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool map_and_batch_fusion = 9;
getMapAndBatchFusion() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool map_and_batch_fusion = 9;
getMapAndFilterFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_and_filter_fusion = 10;
getMapAndFilterFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool map_and_filter_fusion = 10;
getMapAndFilterFusion() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool map_and_filter_fusion = 10;
getMapFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_fusion = 11;
getMapFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool map_fusion = 11;
getMapFusion() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool map_fusion = 11;
getMapParallelization() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_parallelization = 12;
getMapParallelization() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool map_parallelization = 12;
getMapParallelization() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool map_parallelization = 12;
getMax() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Maximum value of the parameter.
getMax() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter: Maximum value of the parameter.
getMax() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.Node.ParameterOrBuilder: Maximum value of the parameter.
getMax() - Method in class org.tensorflow.proto.HistogramProto.Builder: double max = 2;
getMax() - Method in class org.tensorflow.proto.HistogramProto: double max = 2;
getMax() - Method in interface org.tensorflow.proto.HistogramProtoOrBuilder: double max = 2;
getMaxByteSize(int) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
getMaxByteSize(int) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo: repeated int32 max_byte_size = 2;
getMaxByteSize(int) - Method in interface org.tensorflow.proto.GraphTransferNodeOutputInfoOrBuilder: repeated int32 max_byte_size = 2;
getMaxByteSizeCount() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
getMaxByteSizeCount() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo: repeated int32 max_byte_size = 2;
getMaxByteSizeCount() - Method in interface org.tensorflow.proto.GraphTransferNodeOutputInfoOrBuilder: repeated int32 max_byte_size = 2;
getMaxByteSizeList() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
getMaxByteSizeList() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo: repeated int32 max_byte_size = 2;
getMaxByteSizeList() - Method in interface org.tensorflow.proto.GraphTransferNodeOutputInfoOrBuilder: repeated int32 max_byte_size = 2;
getMaxFoldedConstantInBytes() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
getMaxFoldedConstantInBytes() - Method in class org.tensorflow.proto.OptimizerOptions: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
getMaxFoldedConstantInBytes() - Method in interface org.tensorflow.proto.OptimizerOptionsOrBuilder: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
getMaximum() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
getMaximum() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: .tensorflow.TensorProto maximum = 5;
getMaximum() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorProto maximum = 5;
getMaximumBuilder() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
getMaximumIterationsName() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
getMaximumIterationsName() - Method in class org.tensorflow.proto.WhileContextDef: Optional name of the maximum_iterations tensor.
getMaximumIterationsName() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Optional name of the maximum_iterations tensor.
getMaximumIterationsNameBytes() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
getMaximumIterationsNameBytes() - Method in class org.tensorflow.proto.WhileContextDef: Optional name of the maximum_iterations tensor.
getMaximumIterationsNameBytes() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Optional name of the maximum_iterations tensor.
getMaximumOrBuilder() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
getMaximumOrBuilder() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: .tensorflow.TensorProto maximum = 5;
getMaximumOrBuilder() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorProto maximum = 5;
getMaxIntraOpParallelism() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder: int32 max_intra_op_parallelism = 1;
getMaxIntraOpParallelism() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions: int32 max_intra_op_parallelism = 1;
getMaxIntraOpParallelism() - Method in interface org.tensorflow.proto.data.DatasetOptions.ThreadingOptionsOrBuilder: int32 max_intra_op_parallelism = 1;
getMaxSessionDurationMs() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Maximum time (in milliseconds) a profiling session manager waits for all profilers to finish after issuing gRPC request.
getMaxSessionDurationMs() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions: Maximum time (in milliseconds) a profiling session manager waits for all profilers to finish after issuing gRPC request.
getMaxSessionDurationMs() - Method in interface org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptionsOrBuilder: Maximum time (in milliseconds) a profiling session manager waits for all profilers to finish after issuing gRPC request.
getMaxToKeep() - Method in class org.tensorflow.proto.SaverDef.Builder: Maximum number of checkpoints to keep.
getMaxToKeep() - Method in class org.tensorflow.proto.SaverDef: Maximum number of checkpoints to keep.
getMaxToKeep() - Method in interface org.tensorflow.proto.SaverDefOrBuilder: Maximum number of checkpoints to keep.
getMaxValue() - Method in class org.tensorflow.framework.activations.ReLU: Gets the saturation threshold (the largest value the function will return).
getMaxValue() - Method in class org.tensorflow.framework.constraints.MaxNorm: Gets the max value
getMaxValue() - Method in class org.tensorflow.framework.constraints.MinMaxNorm: Gets the maxValue
getMaxValue() - Method in class org.tensorflow.proto.MetricEntry.Builder: The maximum acceptable value for the metric if specified
getMaxValue() - Method in class org.tensorflow.proto.MetricEntry: The maximum acceptable value for the metric if specified
getMaxValue() - Method in interface org.tensorflow.proto.MetricEntryOrBuilder: The maximum acceptable value for the metric if specified
getMaxValueBuilder() - Method in class org.tensorflow.proto.MetricEntry.Builder: The maximum acceptable value for the metric if specified
getMaxValueOrBuilder() - Method in class org.tensorflow.proto.MetricEntry.Builder: The maximum acceptable value for the metric if specified
getMaxValueOrBuilder() - Method in class org.tensorflow.proto.MetricEntry: The maximum acceptable value for the metric if specified
getMaxValueOrBuilder() - Method in interface org.tensorflow.proto.MetricEntryOrBuilder: The maximum acceptable value for the metric if specified
getMaybeTypeName() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeName() - Method in class org.tensorflow.proto.ResourceHandleProto: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeName() - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeNameBytes() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeNameBytes() - Method in class org.tensorflow.proto.ResourceHandleProto: For debug-only, the name of the type pointed to by this handle, if available.
getMaybeTypeNameBytes() - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: For debug-only, the name of the type pointed to by this handle, if available.
getMemory(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemory(int) - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemory(int) - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryBuilder(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryBuilderList() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryCount() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryCount() - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryCount() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryEfficiency() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Percentage of theoretical memory performance.
getMemoryEfficiency() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: Percentage of theoretical memory performance.
getMemoryEfficiency() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: Percentage of theoretical memory performance.
getMemoryInfo() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
getMemoryInfo() - Method in class org.tensorflow.proto.MachineConfiguration: .tensorflow.MemoryInfo memory_info = 6;
getMemoryInfo() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: .tensorflow.MemoryInfo memory_info = 6;
getMemoryInfoBuilder() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
getMemoryInfoOrBuilder() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
getMemoryInfoOrBuilder() - Method in class org.tensorflow.proto.MachineConfiguration: .tensorflow.MemoryInfo memory_info = 6;
getMemoryInfoOrBuilder() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: .tensorflow.MemoryInfo memory_info = 6;
getMemoryLimit() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Memory capacity in bytes.
getMemoryLimit() - Method in class org.tensorflow.proto.AvailableDeviceInfo: Memory capacity in bytes.
getMemoryLimit() - Method in interface org.tensorflow.proto.AvailableDeviceInfoOrBuilder: Memory capacity in bytes.
getMemoryLimit() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Memory capacity of device in bytes.
getMemoryLimit() - Method in class org.tensorflow.proto.DeviceAttributes: Memory capacity of device in bytes.
getMemoryLimit() - Method in interface org.tensorflow.proto.DeviceAttributesOrBuilder: Memory capacity of device in bytes.
getMemoryLimitMb(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
getMemoryLimitMb(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices: Per "virtual" device memory limit, in MB.
getMemoryLimitMb(int) - Method in interface org.tensorflow.proto.GPUOptions.Experimental.VirtualDevicesOrBuilder: Per "virtual" device memory limit, in MB.
getMemoryLimitMbCount() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
getMemoryLimitMbCount() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices: Per "virtual" device memory limit, in MB.
getMemoryLimitMbCount() - Method in interface org.tensorflow.proto.GPUOptions.Experimental.VirtualDevicesOrBuilder: Per "virtual" device memory limit, in MB.
getMemoryLimitMbList() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
getMemoryLimitMbList() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices: Per "virtual" device memory limit, in MB.
getMemoryLimitMbList() - Method in interface org.tensorflow.proto.GPUOptions.Experimental.VirtualDevicesOrBuilder: Per "virtual" device memory limit, in MB.
getMemoryList() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryList() - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryList() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimization() - Method in class org.tensorflow.proto.RewriterConfig: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimization() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimizationValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Configures memory optimization passes through the meta-optimizer.
getMemoryOptimizerTargetNodeNameScope() - Method in class org.tensorflow.proto.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recomputations.
getMemoryOptimizerTargetNodeNameScope() - Method in class org.tensorflow.proto.RewriterConfig: A node name scope for node names which are valid outputs of recomputations.
getMemoryOptimizerTargetNodeNameScope() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: A node name scope for node names which are valid outputs of recomputations.
getMemoryOptimizerTargetNodeNameScopeBytes() - Method in class org.tensorflow.proto.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recomputations.
getMemoryOptimizerTargetNodeNameScopeBytes() - Method in class org.tensorflow.proto.RewriterConfig: A node name scope for node names which are valid outputs of recomputations.
getMemoryOptimizerTargetNodeNameScopeBytes() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: A node name scope for node names which are valid outputs of recomputations.
getMemoryOrBuilder(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilder(int) - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilder(int) - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilderList() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilderList() - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryOrBuilderList() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
getMemoryRatio() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Ratio identifies how many parallelism calls are introduced by one buffered element.
getMemoryRatio() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Ratio identifies how many parallelism calls are introduced by one buffered element.
getMemoryRatio() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Ratio identifies how many parallelism calls are introduced by one buffered element.
getMemorySize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Memory size in bytes
getMemorySize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Memory size in bytes
getMemorySize() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Memory size in bytes
getMemoryStats() - Method in class org.tensorflow.proto.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStats() - Method in class org.tensorflow.proto.NodeExecStats: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStats() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStatsBuilder() - Method in class org.tensorflow.proto.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStatsOrBuilder() - Method in class org.tensorflow.proto.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStatsOrBuilder() - Method in class org.tensorflow.proto.NodeExecStats: .tensorflow.MemoryStats memory_stats = 12;
getMemoryStatsOrBuilder() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: .tensorflow.MemoryStats memory_stats = 12;
getMemoryTime() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Analytical estimate of the memory access cost of this node, in microseconds.
getMemoryTime() - Method in class org.tensorflow.proto.CostGraphDef.Node: Analytical estimate of the memory access cost of this node, in microseconds.
getMemoryTime() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: Analytical estimate of the memory access cost of this node, in microseconds.
getMemoryTime() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Analytical memory access cost (in nanoseconds).
getMemoryTime() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: Analytical memory access cost (in nanoseconds).
getMemoryTime() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: Analytical memory access cost (in nanoseconds).
getMergeDeviceToDeviceStream() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder: If true, the compute stream will be used for device_to_device copy as well.
getMergeDeviceToDeviceStream() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions: If true, the compute stream will be used for device_to_device copy as well.
getMergeDeviceToDeviceStream() - Method in interface org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptionsOrBuilder: If true, the compute stream will be used for device_to_device copy as well.
getMergeDeviceToHostStream() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder: If true, the compute stream will be used for device_to_host copy as well.
getMergeDeviceToHostStream() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions: If true, the compute stream will be used for device_to_host copy as well.
getMergeDeviceToHostStream() - Method in interface org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptionsOrBuilder: If true, the compute stream will be used for device_to_host copy as well.
getMergeHostToDeviceStream() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder: If true, the compute stream will be used for host_to_device copy as well.
getMergeHostToDeviceStream() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions: If true, the compute stream will be used for host_to_device copy as well.
getMergeHostToDeviceStream() - Method in interface org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptionsOrBuilder: If true, the compute stream will be used for host_to_device copy as well.
getMessage() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.

string message = 2;
getMessage() - Method in class org.tensorflow.proto.LogMessage: Deprecated.

string message = 2;
getMessage() - Method in interface org.tensorflow.proto.LogMessageOrBuilder: Deprecated.

string message = 2;
getMessage() - Method in class org.tensorflow.proto.StatusProto.Builder: Detail error message.
getMessage() - Method in class org.tensorflow.proto.StatusProto: Detail error message.
getMessage() - Method in interface org.tensorflow.proto.StatusProtoOrBuilder: Detail error message.
getMessageBytes() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.

string message = 2;
getMessageBytes() - Method in class org.tensorflow.proto.LogMessage: Deprecated.

string message = 2;
getMessageBytes() - Method in interface org.tensorflow.proto.LogMessageOrBuilder: Deprecated.

string message = 2;
getMessageBytes() - Method in class org.tensorflow.proto.StatusProto.Builder: Detail error message.
getMessageBytes() - Method in class org.tensorflow.proto.StatusProto: Detail error message.
getMessageBytes() - Method in interface org.tensorflow.proto.StatusProtoOrBuilder: Detail error message.
getMeta() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMeta() - Method in class org.tensorflow.proto.SavedTensorSlices: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMeta() - Method in interface org.tensorflow.proto.SavedTensorSlicesOrBuilder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMetaBuilder() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMetadata() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Additional metadata in serialized format.
getMetadata() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: Additional metadata in serialized format.
getMetadata() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: Additional metadata in serialized format.
getMetadata() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Deprecated.
tensorflow.SavedUserObject.metadata is deprecated. See tensorflow/core/protobuf/saved_object_graph.proto;l=123
getMetadata() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject: Deprecated.
tensorflow.SavedUserObject.metadata is deprecated. See tensorflow/core/protobuf/saved_object_graph.proto;l=123
getMetadata() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObjectOrBuilder: Deprecated.
tensorflow.SavedUserObject.metadata is deprecated. See tensorflow/core/protobuf/saved_object_graph.proto;l=123
getMetadata() - Method in class org.tensorflow.proto.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
getMetadata() - Method in class org.tensorflow.proto.Summary.Value: Contains metadata on the summary value such as which plugins may use it.
getMetadata() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: Contains metadata on the summary value such as which plugins may use it.
getMetadata() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Portions of the object that are not Tensors.
getMetadata() - Method in class org.tensorflow.proto.VariantTensorDataProto: Portions of the object that are not Tensors.
getMetadata() - Method in interface org.tensorflow.proto.VariantTensorDataProtoOrBuilder: Portions of the object that are not Tensors.
getMetadata() - Method in class org.tensorflow.Result: Metadata about the run.
getMetadataBuilder() - Method in class org.tensorflow.proto.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
getMetadataBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Deprecated.
tensorflow.SavedUserObject.metadata is deprecated. See tensorflow/core/protobuf/saved_object_graph.proto;l=123
getMetadataBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject: Deprecated.
tensorflow.SavedUserObject.metadata is deprecated. See tensorflow/core/protobuf/saved_object_graph.proto;l=123
getMetadataBytes() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObjectOrBuilder: Deprecated.
tensorflow.SavedUserObject.metadata is deprecated. See tensorflow/core/protobuf/saved_object_graph.proto;l=123
getMetadataId() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XEventMetadata.id of corresponding metadata.
getMetadataId() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent: XEventMetadata.id of corresponding metadata.
getMetadataId() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventOrBuilder: XEventMetadata.id of corresponding metadata.
getMetadataId() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: XStatMetadata.id of corresponding metadata.
getMetadataId() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: XStatMetadata.id of corresponding metadata.
getMetadataId() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: XStatMetadata.id of corresponding metadata.
getMetadataOrBuilder() - Method in class org.tensorflow.proto.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
getMetadataOrBuilder() - Method in class org.tensorflow.proto.Summary.Value: Contains metadata on the summary value such as which plugins may use it.
getMetadataOrBuilder() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: Contains metadata on the summary value such as which plugins may use it.
getMetaGraphDef() - Method in class org.tensorflow.proto.Event.Builder: An encoded version of a MetaGraphDef.
getMetaGraphDef() - Method in class org.tensorflow.proto.Event: An encoded version of a MetaGraphDef.
getMetaGraphDef() - Method in interface org.tensorflow.proto.EventOrBuilder: An encoded version of a MetaGraphDef.
getMetaGraphs(int) - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphs(int) - Method in class org.tensorflow.proto.SavedModel: One or more MetaGraphs.
getMetaGraphs(int) - Method in interface org.tensorflow.proto.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphsBuilder(int) - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsBuilderList() - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsCount() - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsCount() - Method in class org.tensorflow.proto.SavedModel: One or more MetaGraphs.
getMetaGraphsCount() - Method in interface org.tensorflow.proto.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphsList() - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsList() - Method in class org.tensorflow.proto.SavedModel: One or more MetaGraphs.
getMetaGraphsList() - Method in interface org.tensorflow.proto.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphsOrBuilder(int) - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsOrBuilder(int) - Method in class org.tensorflow.proto.SavedModel: One or more MetaGraphs.
getMetaGraphsOrBuilder(int) - Method in interface org.tensorflow.proto.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphsOrBuilderList() - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
getMetaGraphsOrBuilderList() - Method in class org.tensorflow.proto.SavedModel: One or more MetaGraphs.
getMetaGraphsOrBuilderList() - Method in interface org.tensorflow.proto.SavedModelOrBuilder: One or more MetaGraphs.
getMetaGraphVersion() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
getMetaGraphVersion() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: User specified Version string.
getMetaGraphVersion() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: User specified Version string.
getMetaGraphVersionBytes() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
getMetaGraphVersionBytes() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: User specified Version string.
getMetaGraphVersionBytes() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: User specified Version string.
getMetaInfoDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDef() - Method in class org.tensorflow.proto.MetaGraphDef: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDef() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDefBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDefOrBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDefOrBuilder() - Method in class org.tensorflow.proto.MetaGraphDef: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaInfoDefOrBuilder() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
getMetaOptimizerIterations() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterations() - Method in class org.tensorflow.proto.RewriterConfig: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterations() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterationsValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterationsValue() - Method in class org.tensorflow.proto.RewriterConfig: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerIterationsValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Controls how many times we run the optimizers in meta optimizer (default is once).
getMetaOptimizerTimeoutMs() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Maximum number of milliseconds to spend optimizing a single graph before timing out.
getMetaOptimizerTimeoutMs() - Method in class org.tensorflow.proto.RewriterConfig: Maximum number of milliseconds to spend optimizing a single graph before timing out.
getMetaOptimizerTimeoutMs() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Maximum number of milliseconds to spend optimizing a single graph before timing out.
getMetaOrBuilder() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMetaOrBuilder() - Method in class org.tensorflow.proto.SavedTensorSlices: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMetaOrBuilder() - Method in interface org.tensorflow.proto.SavedTensorSlicesOrBuilder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
getMethodName() - Method in class org.tensorflow.proto.SignatureDef.Builder: Deprecated: TensorFlow 2 always sets this to a fixed value; open-source TF Serving stopped checking by default since release 2.4.
getMethodName() - Method in class org.tensorflow.proto.SignatureDef: Deprecated: TensorFlow 2 always sets this to a fixed value; open-source TF Serving stopped checking by default since release 2.4.
getMethodName() - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Deprecated: TensorFlow 2 always sets this to a fixed value; open-source TF Serving stopped checking by default since release 2.4.
getMethodNameBytes() - Method in class org.tensorflow.proto.SignatureDef.Builder: Deprecated: TensorFlow 2 always sets this to a fixed value; open-source TF Serving stopped checking by default since release 2.4.
getMethodNameBytes() - Method in class org.tensorflow.proto.SignatureDef: Deprecated: TensorFlow 2 always sets this to a fixed value; open-source TF Serving stopped checking by default since release 2.4.
getMethodNameBytes() - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Deprecated: TensorFlow 2 always sets this to a fixed value; open-source TF Serving stopped checking by default since release 2.4.
getMetrics(int) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetrics(int) - Method in class org.tensorflow.proto.BenchmarkEntry: Metric name, value and expected range.
getMetrics(int) - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Metric name, value and expected range.
getMetricsBuilder(int) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetricsBuilderList() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetricsCount() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetricsCount() - Method in class org.tensorflow.proto.BenchmarkEntry: Metric name, value and expected range.
getMetricsCount() - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Metric name, value and expected range.
getMetricsList() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetricsList() - Method in class org.tensorflow.proto.BenchmarkEntry: Metric name, value and expected range.
getMetricsList() - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Metric name, value and expected range.
getMetricsOrBuilder(int) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetricsOrBuilder(int) - Method in class org.tensorflow.proto.BenchmarkEntry: Metric name, value and expected range.
getMetricsOrBuilder(int) - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Metric name, value and expected range.
getMetricsOrBuilderList() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
getMetricsOrBuilderList() - Method in class org.tensorflow.proto.BenchmarkEntry: Metric name, value and expected range.
getMetricsOrBuilderList() - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Metric name, value and expected range.
getMhzPerCpu() - Method in class org.tensorflow.proto.CPUInfo.Builder: How fast are these cpus?
getMhzPerCpu() - Method in class org.tensorflow.proto.CPUInfo: How fast are these cpus?
getMhzPerCpu() - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: How fast are these cpus?
getMin() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Minimum value of the parameter.
getMin() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter: Minimum value of the parameter.
getMin() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.Node.ParameterOrBuilder: Minimum value of the parameter.
getMin() - Method in class org.tensorflow.proto.HistogramProto.Builder: double min = 1;
getMin() - Method in class org.tensorflow.proto.HistogramProto: double min = 1;
getMin() - Method in interface org.tensorflow.proto.HistogramProtoOrBuilder: double min = 1;
getMinConsumer() - Method in class org.tensorflow.proto.VersionDef.Builder: Any consumer below this version is not allowed to consume this data.
getMinConsumer() - Method in class org.tensorflow.proto.VersionDef: Any consumer below this version is not allowed to consume this data.
getMinConsumer() - Method in interface org.tensorflow.proto.VersionDefOrBuilder: Any consumer below this version is not allowed to consume this data.
getMinGraphNodes() - Method in class org.tensorflow.proto.RewriterConfig.Builder: The minimum number of nodes in a graph to optimizer.
getMinGraphNodes() - Method in class org.tensorflow.proto.RewriterConfig: The minimum number of nodes in a graph to optimizer.
getMinGraphNodes() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: The minimum number of nodes in a graph to optimizer.
getMinibatchesInCsrWithPhysicalReplica(Operand, Operand, Operand, Operand, Operand, Operand, Long, Long, Long, Long, Long, Long, Long, String, String) - Method in class org.tensorflow.op.TpuOps: The GetMinibatchesInCsrWithPhysicalReplica operation
GetMinibatchesInCsrWithPhysicalReplica - Class in org.tensorflow.op.tpu: The GetMinibatchesInCsrWithPhysicalReplica operation
GetMinibatchesInCsrWithPhysicalReplica(Operation) - Constructor for class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica
GetMinibatchesInCsrWithPhysicalReplica.Inputs - Class in org.tensorflow.op.tpu
getMinibatchSplitsWithPhysicalReplica(Operand, Operand, Operand, Operand, Long, Long, Long, Long, Long, String, String) - Method in class org.tensorflow.op.TpuOps: The GetMinibatchSplitsWithPhysicalReplica operation
GetMinibatchSplitsWithPhysicalReplica - Class in org.tensorflow.op.tpu: The GetMinibatchSplitsWithPhysicalReplica operation
GetMinibatchSplitsWithPhysicalReplica(Operation) - Constructor for class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica
GetMinibatchSplitsWithPhysicalReplica.Inputs - Class in org.tensorflow.op.tpu
getMinimum() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: int64 minimum = 6;
getMinimum() - Method in class org.tensorflow.proto.OpDef.AttrDef: int64 minimum = 6;
getMinimum() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: int64 minimum = 6;
getMinimum() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
getMinimum() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: .tensorflow.TensorProto minimum = 4;
getMinimum() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorProto minimum = 4;
getMinimumBuilder() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
getMinimumOrBuilder() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
getMinimumOrBuilder() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: .tensorflow.TensorProto minimum = 4;
getMinimumOrBuilder() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorProto minimum = 4;
getMinValue() - Method in class org.tensorflow.framework.constraints.MinMaxNorm: Gets the minValue
getMinValue() - Method in class org.tensorflow.proto.MetricEntry.Builder: The minimum acceptable value for the metric if specified
getMinValue() - Method in class org.tensorflow.proto.MetricEntry: The minimum acceptable value for the metric if specified
getMinValue() - Method in interface org.tensorflow.proto.MetricEntryOrBuilder: The minimum acceptable value for the metric if specified
getMinValueBuilder() - Method in class org.tensorflow.proto.MetricEntry.Builder: The minimum acceptable value for the metric if specified
getMinValueOrBuilder() - Method in class org.tensorflow.proto.MetricEntry.Builder: The minimum acceptable value for the metric if specified
getMinValueOrBuilder() - Method in class org.tensorflow.proto.MetricEntry: The minimum acceptable value for the metric if specified
getMinValueOrBuilder() - Method in interface org.tensorflow.proto.MetricEntryOrBuilder: The minimum acceptable value for the metric if specified
getMlirBridgeRollout() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based TF->XLA bridge.
getMlirBridgeRollout() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Whether to enable the MLIR-based TF->XLA bridge.
getMlirBridgeRollout() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Whether to enable the MLIR-based TF->XLA bridge.
getMlirBridgeRolloutValue() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based TF->XLA bridge.
getMlirBridgeRolloutValue() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Whether to enable the MLIR-based TF->XLA bridge.
getMlirBridgeRolloutValue() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Whether to enable the MLIR-based TF->XLA bridge.
getMode() - Method in class org.tensorflow.proto.BuildConfiguration.Builder: opt, dbg, etc
getMode() - Method in class org.tensorflow.proto.BuildConfiguration: opt, dbg, etc
getMode() - Method in interface org.tensorflow.proto.BuildConfigurationOrBuilder: opt, dbg, etc
getModeBytes() - Method in class org.tensorflow.proto.BuildConfiguration.Builder: opt, dbg, etc
getModeBytes() - Method in class org.tensorflow.proto.BuildConfiguration: opt, dbg, etc
getModeBytes() - Method in interface org.tensorflow.proto.BuildConfigurationOrBuilder: opt, dbg, etc
getModel() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Model (Haswell, K40, ...)
getModel() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Model (Haswell, K40, ...)
getModel() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Model (Haswell, K40, ...)
getModel() - Method in class org.tensorflow.proto.GPUInfo.Builder: e.g.
getModel() - Method in class org.tensorflow.proto.GPUInfo: e.g.
getModel() - Method in interface org.tensorflow.proto.GPUInfoOrBuilder: e.g.
getModelBytes() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Model (Haswell, K40, ...)
getModelBytes() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Model (Haswell, K40, ...)
getModelBytes() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Model (Haswell, K40, ...)
getModelBytes() - Method in class org.tensorflow.proto.GPUInfo.Builder: e.g.
getModelBytes() - Method in class org.tensorflow.proto.GPUInfo: e.g.
getModelBytes() - Method in interface org.tensorflow.proto.GPUInfoOrBuilder: e.g.
getModelInputTime() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Time between two consecutive `GetNext` calls to the iterator represented by the output node.
getModelInputTime() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams: Time between two consecutive `GetNext` calls to the iterator represented by the output node.
getModelInputTime() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParamsOrBuilder: Time between two consecutive `GetNext` calls to the iterator represented by the output node.
getMsg() - Method in class org.tensorflow.proto.SessionLog.Builder: string msg = 3;
getMsg() - Method in class org.tensorflow.proto.SessionLog: string msg = 3;
getMsg() - Method in interface org.tensorflow.proto.SessionLogOrBuilder: string msg = 3;
getMsgBytes() - Method in class org.tensorflow.proto.SessionLog.Builder: string msg = 3;
getMsgBytes() - Method in class org.tensorflow.proto.SessionLog: string msg = 3;
getMsgBytes() - Method in interface org.tensorflow.proto.SessionLogOrBuilder: string msg = 3;
getMu() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder: double mu = 1;
getMu() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution: double mu = 1;
getMu() - Method in interface org.tensorflow.proto.OpPerformanceData.LogNormalDistributionOrBuilder: double mu = 1;
getMu() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder: double mu = 1;
getMu() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution: double mu = 1;
getMu() - Method in interface org.tensorflow.proto.OpPerformanceData.NormalDistributionOrBuilder: double mu = 1;
getMutableArgAttr() - Method in class org.tensorflow.proto.FunctionDef.Builder: Deprecated.
getMutableAttr() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder: Deprecated.
getMutableAttr() - Method in class org.tensorflow.proto.FunctionDef.Builder: Deprecated.
getMutableAttr() - Method in class org.tensorflow.proto.NameAttrList.Builder: Deprecated.
getMutableAttr() - Method in class org.tensorflow.proto.NodeDef.Builder: Deprecated.
getMutableAttr() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Deprecated.
getMutableCacheSize() - Method in class org.tensorflow.proto.CPUInfo.Builder: Deprecated.
getMutableCollectionDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Deprecated.
getMutableConcreteFunctions() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Deprecated.
getMutableControlRet() - Method in class org.tensorflow.proto.FunctionDef.Builder: Deprecated.
getMutableDefaults() - Method in class org.tensorflow.proto.SignatureDef.Builder: Deprecated.
getMutableDeviceCount() - Method in class org.tensorflow.proto.ConfigProto.Builder: Deprecated.
getMutableEnvironment() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Deprecated.
getMutableEnvVars() - Method in class org.tensorflow.proto.RunConfiguration.Builder: Deprecated.
getMutableEventMetadata() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Deprecated.
getMutableExternalValues() - Method in class org.tensorflow.proto.ValuesDef.Builder: Deprecated.
getMutableExtras() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Deprecated.
getMutableFeature() - Method in class org.tensorflow.proto.Features.Builder: Deprecated.
getMutableFeatureList() - Method in class org.tensorflow.proto.FeatureLists.Builder: Deprecated.
getMutableFeatureMap() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder: Deprecated.
getMutableFeedDevices() - Method in class org.tensorflow.proto.CallableOptions.Builder: Deprecated.
getMutableFetchDevices() - Method in class org.tensorflow.proto.CallableOptions.Builder: Deprecated.
getMutableFields() - Method in class org.tensorflow.proto.Struct.DictValue.Builder: Deprecated.
getMutableFramesById() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
getMutableFunctionAliases() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: Deprecated.
getMutableInputs() - Method in class org.tensorflow.proto.SignatureDef.Builder: Deprecated.
getMutableNameToTraceId() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
getMutableNodeNameToControlRet() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Deprecated.
getMutableNodes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: Deprecated.
getMutableOutputs() - Method in class org.tensorflow.proto.SignatureDef.Builder: Deprecated.
getMutableParameterMap() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: Deprecated.
getMutablePayloads() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder: Deprecated.
getMutableResourceArgUniqueId() - Method in class org.tensorflow.proto.FunctionDef.Builder: Deprecated.
getMutableRet() - Method in class org.tensorflow.proto.FunctionDef.Builder: Deprecated.
getMutableSaveableObjects() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Deprecated.
getMutableSignatureDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Deprecated.
getMutableStatMetadata() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Deprecated.
getMutableTasks() - Method in class org.tensorflow.proto.JobDef.Builder: Deprecated.
getMutableTasks() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: Deprecated.
getMutableThreadNames() - Method in class org.tensorflow.proto.DeviceStepStats.Builder: Deprecated.
getMutableTraces() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
getMutableTracesById() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
getName() - Method in class org.tensorflow.framework.activations.AbstractActivation: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.ELU: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.Exponential: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.GELU: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.HardSigmoid: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.Linear: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.ReLU: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.SELU: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.Sigmoid: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.Softmax: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.Softplus: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.Softsign: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.Swish: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.activations.Tanh: Get the name of the activation as known by the TensorFlow Engine
getName() - Method in class org.tensorflow.framework.initializers.BaseInitializer: Gets the name for this initializer
getName() - Method in class org.tensorflow.framework.losses.BinaryCrossentropy: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.CategoricalCrossentropy: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.CategoricalHinge: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.CosineSimilarity: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.Hinge: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.Huber: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.KLDivergence: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.LogCosh: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.MeanAbsoluteError: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.MeanAbsolutePercentageError: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.MeanSquaredError: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.MeanSquaredLogarithmicError: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.Poisson: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.SparseCategoricalCrossentropy: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.losses.SquaredHinge: Gets the name for this loss
getName() - Method in class org.tensorflow.framework.metrics.BaseMetric: The name for this metric.
getName() - Method in class org.tensorflow.framework.regularizers.AbstractRegularizer: Gets the name for this regularizer
getName() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.ApiDef.Arg: string name = 1;
getName() - Method in interface org.tensorflow.proto.ApiDef.ArgOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.ApiDef.Attr: string name = 1;
getName() - Method in interface org.tensorflow.proto.ApiDef.AttrOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getName() - Method in class org.tensorflow.proto.ApiDef.Endpoint: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getName() - Method in interface org.tensorflow.proto.ApiDef.EndpointOrBuilder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getName() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Device name.
getName() - Method in class org.tensorflow.proto.AvailableDeviceInfo: Device name.
getName() - Method in interface org.tensorflow.proto.AvailableDeviceInfoOrBuilder: Device name.
getName() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: The name of the specific benchmark or test (e.g.
getName() - Method in class org.tensorflow.proto.BenchmarkEntry: The name of the specific benchmark or test (e.g.
getName() - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: The name of the specific benchmark or test (e.g.
getName() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob: string name = 1;
getName() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinatedJobOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The name of the node.
getName() - Method in class org.tensorflow.proto.CostGraphDef.Node: The name of the node.
getName() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: The name of the node.
getName() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder: bytes name = 1;
getName() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata: bytes name = 1;
getName() - Method in interface org.tensorflow.proto.data.DatasetMetadata.MetadataOrBuilder: bytes name = 1;
getName() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Human-readable name of the node.
getName() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Human-readable name of the node.
getName() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Human-readable name of the parameter.
getName() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter: Human-readable name of the parameter.
getName() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.Node.ParameterOrBuilder: Human-readable name of the parameter.
getName() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Human-readable name of the node.
getName() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
getName() - Method in class org.tensorflow.proto.DeviceAttributes: Fully specified name of the device within a cluster.
getName() - Method in interface org.tensorflow.proto.DeviceAttributesOrBuilder: Fully specified name of the device within a cluster.
getName() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice: string name = 1;
getName() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.NamedDeviceOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo: string name = 1;
getName() - Method in interface org.tensorflow.proto.GraphTransferConstNodeInfoOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo: string name = 1;
getName() - Method in interface org.tensorflow.proto.GraphTransferGraphInputNodeInfoOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo: string name = 1;
getName() - Method in interface org.tensorflow.proto.GraphTransferGraphOutputNodeInfoOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.GraphTransferNodeInfo: string name = 1;
getName() - Method in interface org.tensorflow.proto.GraphTransferNodeInfoOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.JobDef.Builder: The name of this job.
getName() - Method in class org.tensorflow.proto.JobDef: The name of this job.
getName() - Method in interface org.tensorflow.proto.JobDefOrBuilder: The name of this job.
getName() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: The name of this job.
getName() - Method in class org.tensorflow.proto.JobDeviceFilters: The name of this job.
getName() - Method in interface org.tensorflow.proto.JobDeviceFiltersOrBuilder: The name of this job.
getName() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
getName() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint: Name of an attr from the Op.
getName() - Method in interface org.tensorflow.proto.KernelDef.AttrConstraintOrBuilder: Name of an attr from the Op.
getName() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder: string name = 2;
getName() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement: string name = 2;
getName() - Method in interface org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElementOrBuilder: string name = 2;
getName() - Method in class org.tensorflow.proto.MetricEntry.Builder: Metric name
getName() - Method in class org.tensorflow.proto.MetricEntry: Metric name
getName() - Method in interface org.tensorflow.proto.MetricEntryOrBuilder: Metric name
getName() - Method in class org.tensorflow.proto.NameAttrList.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.NameAttrList: string name = 1;
getName() - Method in interface org.tensorflow.proto.NameAttrListOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.NamedTensorProto.Builder: Name of the tensor.
getName() - Method in class org.tensorflow.proto.NamedTensorProto: Name of the tensor.
getName() - Method in interface org.tensorflow.proto.NamedTensorProtoOrBuilder: Name of the tensor.
getName() - Method in class org.tensorflow.proto.NodeDef.Builder: The name given to this operator.
getName() - Method in class org.tensorflow.proto.NodeDef: The name given to this operator.
getName() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: The name given to this operator.
getName() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Name for the input/output.
getName() - Method in class org.tensorflow.proto.OpDef.ArgDef: Name for the input/output.
getName() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: Name for the input/output.
getName() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A descriptive name for the argument.
getName() - Method in class org.tensorflow.proto.OpDef.AttrDef: A descriptive name for the argument.
getName() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: A descriptive name for the argument.
getName() - Method in class org.tensorflow.proto.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
getName() - Method in class org.tensorflow.proto.OpDef: Op names starting with an underscore are reserved for internal use.
getName() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Op names starting with an underscore are reserved for internal use.
getName() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Function name.
getName() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Function name.
getName() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Function name.
getName() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Name of the event.
getName() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: Name of the event.
getName() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: Name of the event.
getName() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Name of this XLine.
getName() - Method in class org.tensorflow.proto.profiler.Xplane.XLine: Name of this XLine.
getName() - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: Name of this XLine.
getName() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Name of this XPlane.
getName() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: Name of this XPlane.
getName() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: Name of this XPlane.
getName() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: Name of the stat (should be short).
getName() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata: Name of the stat (should be short).
getName() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatMetadataOrBuilder: Name of the stat (should be short).
getName() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Unique name of this resource.
getName() - Method in class org.tensorflow.proto.ResourceHandleProto: Unique name of this resource.
getName() - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: Unique name of this resource.
getName() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer: string name = 1;
getName() - Method in interface org.tensorflow.proto.RewriterConfig.CustomGraphOptimizerOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder: Name of captured tensor
getName() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor: Name of captured tensor
getName() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensorOrBuilder: Name of captured tensor
getName() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: string name = 6;
getName() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: string name = 6;
getName() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: string name = 6;
getName() - Method in class org.tensorflow.proto.SavedSlice.Builder: Name of the tensor that this slice belongs to.
getName() - Method in class org.tensorflow.proto.SavedSlice: Name of the tensor that this slice belongs to.
getName() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Name of the tensor.
getName() - Method in class org.tensorflow.proto.SavedSliceMeta: Name of the tensor.
getName() - Method in interface org.tensorflow.proto.SavedSliceMetaOrBuilder: Name of the tensor.
getName() - Method in interface org.tensorflow.proto.SavedSliceOrBuilder: Name of the tensor that this slice belongs to.
getName() - Method in class org.tensorflow.proto.SessionMetadata.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.SessionMetadata: string name = 1;
getName() - Method in interface org.tensorflow.proto.SessionMetadataOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: string name = 1;
getName() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.Struct.NamedTupleValue: string name = 1;
getName() - Method in interface org.tensorflow.proto.Struct.NamedTupleValueOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: string name = 1;
getName() - Method in class org.tensorflow.proto.Struct.TensorSpecProto: string name = 1;
getName() - Method in interface org.tensorflow.proto.Struct.TensorSpecProtoOrBuilder: string name = 1;
getName() - Method in class org.tensorflow.proto.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
getName() - Method in class org.tensorflow.proto.TensorInfo: For dense `Tensor`s, the name of the tensor in the graph.
getName() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: For dense `Tensor`s, the name of the tensor in the graph.
getName() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
getName() - Method in class org.tensorflow.proto.TensorShapeProto.Dim: Optional name of the tensor dimension.
getName() - Method in interface org.tensorflow.proto.TensorShapeProto.DimOrBuilder: Optional name of the tensor dimension.
getName() - Method in class org.tensorflow.proto.TestResults.Builder: Benchmark target identifier.
getName() - Method in class org.tensorflow.proto.TestResults: Benchmark target identifier.
getName() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: Benchmark target identifier.
getName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder: The name of the registered saver/restore function.
getName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver: The name of the registered saver/restore function.
getName() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaverOrBuilder: The name of the registered saver/restore function.
getName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: A name for the Tensor.
getName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor: A name for the Tensor.
getName() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: A name for the Tensor.
getNameBytes() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.ApiDef.Arg: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.ApiDef.ArgOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.ApiDef.Attr: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.ApiDef.AttrOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getNameBytes() - Method in class org.tensorflow.proto.ApiDef.Endpoint: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getNameBytes() - Method in interface org.tensorflow.proto.ApiDef.EndpointOrBuilder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
getNameBytes() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Device name.
getNameBytes() - Method in class org.tensorflow.proto.AvailableDeviceInfo: Device name.
getNameBytes() - Method in interface org.tensorflow.proto.AvailableDeviceInfoOrBuilder: Device name.
getNameBytes() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: The name of the specific benchmark or test (e.g.
getNameBytes() - Method in class org.tensorflow.proto.BenchmarkEntry: The name of the specific benchmark or test (e.g.
getNameBytes() - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: The name of the specific benchmark or test (e.g.
getNameBytes() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinatedJobOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The name of the node.
getNameBytes() - Method in class org.tensorflow.proto.CostGraphDef.Node: The name of the node.
getNameBytes() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: The name of the node.
getNameBytes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Human-readable name of the node.
getNameBytes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Human-readable name of the node.
getNameBytes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Human-readable name of the parameter.
getNameBytes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter: Human-readable name of the parameter.
getNameBytes() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.Node.ParameterOrBuilder: Human-readable name of the parameter.
getNameBytes() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Human-readable name of the node.
getNameBytes() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
getNameBytes() - Method in class org.tensorflow.proto.DeviceAttributes: Fully specified name of the device within a cluster.
getNameBytes() - Method in interface org.tensorflow.proto.DeviceAttributesOrBuilder: Fully specified name of the device within a cluster.
getNameBytes() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.NamedDeviceOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.GraphTransferConstNodeInfoOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.GraphTransferGraphInputNodeInfoOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.GraphTransferGraphOutputNodeInfoOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.GraphTransferNodeInfo: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.GraphTransferNodeInfoOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.JobDef.Builder: The name of this job.
getNameBytes() - Method in class org.tensorflow.proto.JobDef: The name of this job.
getNameBytes() - Method in interface org.tensorflow.proto.JobDefOrBuilder: The name of this job.
getNameBytes() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: The name of this job.
getNameBytes() - Method in class org.tensorflow.proto.JobDeviceFilters: The name of this job.
getNameBytes() - Method in interface org.tensorflow.proto.JobDeviceFiltersOrBuilder: The name of this job.
getNameBytes() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
getNameBytes() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint: Name of an attr from the Op.
getNameBytes() - Method in interface org.tensorflow.proto.KernelDef.AttrConstraintOrBuilder: Name of an attr from the Op.
getNameBytes() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder: string name = 2;
getNameBytes() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement: string name = 2;
getNameBytes() - Method in interface org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElementOrBuilder: string name = 2;
getNameBytes() - Method in class org.tensorflow.proto.MetricEntry.Builder: Metric name
getNameBytes() - Method in class org.tensorflow.proto.MetricEntry: Metric name
getNameBytes() - Method in interface org.tensorflow.proto.MetricEntryOrBuilder: Metric name
getNameBytes() - Method in class org.tensorflow.proto.NameAttrList.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.NameAttrList: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.NameAttrListOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.NamedTensorProto.Builder: Name of the tensor.
getNameBytes() - Method in class org.tensorflow.proto.NamedTensorProto: Name of the tensor.
getNameBytes() - Method in interface org.tensorflow.proto.NamedTensorProtoOrBuilder: Name of the tensor.
getNameBytes() - Method in class org.tensorflow.proto.NodeDef.Builder: The name given to this operator.
getNameBytes() - Method in class org.tensorflow.proto.NodeDef: The name given to this operator.
getNameBytes() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: The name given to this operator.
getNameBytes() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Name for the input/output.
getNameBytes() - Method in class org.tensorflow.proto.OpDef.ArgDef: Name for the input/output.
getNameBytes() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: Name for the input/output.
getNameBytes() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A descriptive name for the argument.
getNameBytes() - Method in class org.tensorflow.proto.OpDef.AttrDef: A descriptive name for the argument.
getNameBytes() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: A descriptive name for the argument.
getNameBytes() - Method in class org.tensorflow.proto.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
getNameBytes() - Method in class org.tensorflow.proto.OpDef: Op names starting with an underscore are reserved for internal use.
getNameBytes() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Op names starting with an underscore are reserved for internal use.
getNameBytes() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Function name.
getNameBytes() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Function name.
getNameBytes() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Function name.
getNameBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Name of the event.
getNameBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: Name of the event.
getNameBytes() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: Name of the event.
getNameBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Name of this XLine.
getNameBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XLine: Name of this XLine.
getNameBytes() - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: Name of this XLine.
getNameBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Name of this XPlane.
getNameBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: Name of this XPlane.
getNameBytes() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: Name of this XPlane.
getNameBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: Name of the stat (should be short).
getNameBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata: Name of the stat (should be short).
getNameBytes() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatMetadataOrBuilder: Name of the stat (should be short).
getNameBytes() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Unique name of this resource.
getNameBytes() - Method in class org.tensorflow.proto.ResourceHandleProto: Unique name of this resource.
getNameBytes() - Method in interface org.tensorflow.proto.ResourceHandleProtoOrBuilder: Unique name of this resource.
getNameBytes() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.RewriterConfig.CustomGraphOptimizerOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder: Name of captured tensor
getNameBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor: Name of captured tensor
getNameBytes() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensorOrBuilder: Name of captured tensor
getNameBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: string name = 6;
getNameBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: string name = 6;
getNameBytes() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: string name = 6;
getNameBytes() - Method in class org.tensorflow.proto.SavedSlice.Builder: Name of the tensor that this slice belongs to.
getNameBytes() - Method in class org.tensorflow.proto.SavedSlice: Name of the tensor that this slice belongs to.
getNameBytes() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Name of the tensor.
getNameBytes() - Method in class org.tensorflow.proto.SavedSliceMeta: Name of the tensor.
getNameBytes() - Method in interface org.tensorflow.proto.SavedSliceMetaOrBuilder: Name of the tensor.
getNameBytes() - Method in interface org.tensorflow.proto.SavedSliceOrBuilder: Name of the tensor that this slice belongs to.
getNameBytes() - Method in class org.tensorflow.proto.SessionMetadata.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.SessionMetadata: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.SessionMetadataOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.Struct.NamedTupleValue: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.Struct.NamedTupleValueOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.Struct.TensorSpecProto: string name = 1;
getNameBytes() - Method in interface org.tensorflow.proto.Struct.TensorSpecProtoOrBuilder: string name = 1;
getNameBytes() - Method in class org.tensorflow.proto.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
getNameBytes() - Method in class org.tensorflow.proto.TensorInfo: For dense `Tensor`s, the name of the tensor in the graph.
getNameBytes() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: For dense `Tensor`s, the name of the tensor in the graph.
getNameBytes() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
getNameBytes() - Method in class org.tensorflow.proto.TensorShapeProto.Dim: Optional name of the tensor dimension.
getNameBytes() - Method in interface org.tensorflow.proto.TensorShapeProto.DimOrBuilder: Optional name of the tensor dimension.
getNameBytes() - Method in class org.tensorflow.proto.TestResults.Builder: Benchmark target identifier.
getNameBytes() - Method in class org.tensorflow.proto.TestResults: Benchmark target identifier.
getNameBytes() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: Benchmark target identifier.
getNameBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder: The name of the registered saver/restore function.
getNameBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver: The name of the registered saver/restore function.
getNameBytes() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaverOrBuilder: The name of the registered saver/restore function.
getNameBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: A name for the Tensor.
getNameBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor: A name for the Tensor.
getNameBytes() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder: A name for the Tensor.
getNamedTupleValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents Python's namedtuple.
getNamedTupleValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents Python's namedtuple.
getNamedTupleValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents Python's namedtuple.
getNamedTupleValueBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents Python's namedtuple.
getNamedTupleValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents Python's namedtuple.
getNamedTupleValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents Python's namedtuple.
getNamedTupleValueOrBuilder() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents Python's namedtuple.
getNameToTraceId() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
getNameToTraceId() - Method in class org.tensorflow.proto.GraphDebugInfo: Deprecated.
getNameToTraceId() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Deprecated.
getNameToTraceIdCount() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
getNameToTraceIdCount() - Method in class org.tensorflow.proto.GraphDebugInfo
getNameToTraceIdCount() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: This maps a node name to a trace id contained in `traces_by_id`.
getNameToTraceIdMap() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This maps a node name to a trace id contained in `traces_by_id`.
getNameToTraceIdMap() - Method in class org.tensorflow.proto.GraphDebugInfo: This maps a node name to a trace id contained in `traces_by_id`.
getNameToTraceIdMap() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: This maps a node name to a trace id contained in `traces_by_id`.
getNameToTraceIdOrDefault(String, long) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This maps a node name to a trace id contained in `traces_by_id`.
getNameToTraceIdOrDefault(String, long) - Method in class org.tensorflow.proto.GraphDebugInfo: This maps a node name to a trace id contained in `traces_by_id`.
getNameToTraceIdOrDefault(String, long) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: This maps a node name to a trace id contained in `traces_by_id`.
getNameToTraceIdOrThrow(String) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This maps a node name to a trace id contained in `traces_by_id`.
getNameToTraceIdOrThrow(String) - Method in class org.tensorflow.proto.GraphDebugInfo: This maps a node name to a trace id contained in `traces_by_id`.
getNameToTraceIdOrThrow(String) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: This maps a node name to a trace id contained in `traces_by_id`.
getNestedContexts(int) - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContexts(int) - Method in class org.tensorflow.proto.CondContextDef: Contexts contained inside this context (e.g. nested conds).
getNestedContexts(int) - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Contexts contained inside this context (e.g. nested conds).
getNestedContexts(int) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContexts(int) - Method in class org.tensorflow.proto.WhileContextDef: Contexts contained inside this context (e.g. nested whiles).
getNestedContexts(int) - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsBuilder(int) - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsBuilder(int) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsBuilderList() - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsBuilderList() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsCount() - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsCount() - Method in class org.tensorflow.proto.CondContextDef: Contexts contained inside this context (e.g. nested conds).
getNestedContextsCount() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsCount() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsCount() - Method in class org.tensorflow.proto.WhileContextDef: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsCount() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsList() - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsList() - Method in class org.tensorflow.proto.CondContextDef: Contexts contained inside this context (e.g. nested conds).
getNestedContextsList() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsList() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsList() - Method in class org.tensorflow.proto.WhileContextDef: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsList() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsOrBuilder(int) - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsOrBuilder(int) - Method in class org.tensorflow.proto.CondContextDef: Contexts contained inside this context (e.g. nested conds).
getNestedContextsOrBuilder(int) - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsOrBuilder(int) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsOrBuilder(int) - Method in class org.tensorflow.proto.WhileContextDef: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsOrBuilder(int) - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsOrBuilderList() - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsOrBuilderList() - Method in class org.tensorflow.proto.CondContextDef: Contexts contained inside this context (e.g. nested conds).
getNestedContextsOrBuilderList() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Contexts contained inside this context (e.g. nested conds).
getNestedContextsOrBuilderList() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsOrBuilderList() - Method in class org.tensorflow.proto.WhileContextDef: Contexts contained inside this context (e.g. nested whiles).
getNestedContextsOrBuilderList() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Contexts contained inside this context (e.g. nested whiles).
getNext() - Method in class org.tensorflow.framework.data.DatasetIterator: Returns a list of Operand<?> representing the components of the next dataset element.
getNextAsOptional() - Method in class org.tensorflow.framework.data.DatasetIterator: Returns a `DatasetOptional` representing the components of the next dataset element.
getNode() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The node name (optional).
getNode() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: The node name (optional).
getNode() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: The node name (optional).
getNode(int) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNode(int) - Method in class org.tensorflow.proto.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNode(int) - Method in interface org.tensorflow.proto.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNode(int) - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNode(int) - Method in class org.tensorflow.proto.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNode(int) - Method in interface org.tensorflow.proto.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeBuilder(int) - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeBuilderList() - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeBuilderList() - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeBytes() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The node name (optional).
getNodeBytes() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: The node name (optional).
getNodeBytes() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: The node name (optional).
getNodeClass() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Class of this node.
getNodeClass() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Class of this node.
getNodeClass() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Class of this node.
getNodeClassValue() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Class of this node.
getNodeClassValue() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Class of this node.
getNodeClassValue() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Class of this node.
getNodeCount() - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeCount() - Method in class org.tensorflow.proto.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeCount() - Method in interface org.tensorflow.proto.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeCount() - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeCount() - Method in class org.tensorflow.proto.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNodeCount() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeDef(int) - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDef(int) - Method in class org.tensorflow.proto.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDef(int) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefBuilder(int) - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefBuilderList() - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefCount() - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefCount() - Method in class org.tensorflow.proto.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefCount() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefList() - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefList() - Method in class org.tensorflow.proto.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefList() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilder(int) - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilder(int) - Method in class org.tensorflow.proto.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilder(int) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilderList() - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilderList() - Method in class org.tensorflow.proto.FunctionDef: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeDefOrBuilderList() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
getNodeId() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: node_id for use when creating a PjRt GPU client with remote devices, which enumerates jobs*tasks from a ServerDef.
getNodeId() - Method in class org.tensorflow.proto.GPUOptions.Experimental: node_id for use when creating a PjRt GPU client with remote devices, which enumerates jobs*tasks from a ServerDef.
getNodeId() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: node_id for use when creating a PjRt GPU client with remote devices, which enumerates jobs*tasks from a ServerDef.
getNodeId() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: int32 node_id = 2;
getNodeId() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo: int32 node_id = 2;
getNodeId() - Method in interface org.tensorflow.proto.GraphTransferConstNodeInfoOrBuilder: int32 node_id = 2;
getNodeId() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 node_id = 2;
getNodeId() - Method in class org.tensorflow.proto.GraphTransferNodeInfo: int32 node_id = 2;
getNodeId() - Method in interface org.tensorflow.proto.GraphTransferNodeInfoOrBuilder: int32 node_id = 2;
getNodeId() - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder: int32 node_id = 1;
getNodeId() - Method in class org.tensorflow.proto.GraphTransferNodeInput: int32 node_id = 1;
getNodeId() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: int32 node_id = 1;
getNodeId() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo: int32 node_id = 1;
getNodeId() - Method in interface org.tensorflow.proto.GraphTransferNodeInputInfoOrBuilder: int32 node_id = 1;
getNodeId() - Method in interface org.tensorflow.proto.GraphTransferNodeInputOrBuilder: int32 node_id = 1;
getNodeId() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder: int32 node_id = 1;
getNodeId() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo: int32 node_id = 1;
getNodeId() - Method in interface org.tensorflow.proto.GraphTransferNodeOutputInfoOrBuilder: int32 node_id = 1;
getNodeId() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the object being referenced.
getNodeId() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference: An index into `TrackableObjectGraph.nodes`, indicating the object being referenced.
getNodeId() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReferenceOrBuilder: An index into `TrackableObjectGraph.nodes`, indicating the object being referenced.
getNodeInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfo(int) - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoCount() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoCount() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoCount() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoList() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoList() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilder(int) - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInfoOrBuilderList() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
getNodeInput(int) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInput(int) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInput(int) - Method in interface org.tensorflow.proto.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputBuilder(int) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputBuilderList() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputCount() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputCount() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputCount() - Method in interface org.tensorflow.proto.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfo(int) - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoCount() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoCount() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoCount() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoList() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoList() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilder(int) - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputInfoOrBuilderList() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
getNodeInputList() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputList() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputList() - Method in interface org.tensorflow.proto.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilder(int) - Method in interface org.tensorflow.proto.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeInputOrBuilderList() - Method in interface org.tensorflow.proto.GraphTransferNodeInputInfoOrBuilder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
getNodeList() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeList() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeList() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeList() - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeList() - Method in class org.tensorflow.proto.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeList() - Method in interface org.tensorflow.proto.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeList() - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeList() - Method in class org.tensorflow.proto.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNodeList() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeListBuilder() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeListOrBuilder() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeListOrBuilder() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeListOrBuilder() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.NodeList node_list = 1;
getNodeName() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name of the node to watch.
getNodeName() - Method in class org.tensorflow.proto.DebugTensorWatch: Name of the node to watch.
getNodeName() - Method in interface org.tensorflow.proto.DebugTensorWatchOrBuilder: Name of the node to watch.
getNodeName() - Method in class org.tensorflow.proto.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeName() - Method in class org.tensorflow.proto.NodeExecStats: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeName() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeName() - Method in class org.tensorflow.proto.Summary.Value.Builder: This field is deprecated and will not be set.
getNodeName() - Method in class org.tensorflow.proto.Summary.Value: This field is deprecated and will not be set.
getNodeName() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: This field is deprecated and will not be set.
getNodeNameBytes() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name of the node to watch.
getNodeNameBytes() - Method in class org.tensorflow.proto.DebugTensorWatch: Name of the node to watch.
getNodeNameBytes() - Method in interface org.tensorflow.proto.DebugTensorWatchOrBuilder: Name of the node to watch.
getNodeNameBytes() - Method in class org.tensorflow.proto.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeNameBytes() - Method in class org.tensorflow.proto.NodeExecStats: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeNameBytes() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: TODO(tucker): Use some more compact form of node identity than the full string name.
getNodeNameBytes() - Method in class org.tensorflow.proto.Summary.Value.Builder: This field is deprecated and will not be set.
getNodeNameBytes() - Method in class org.tensorflow.proto.Summary.Value: This field is deprecated and will not be set.
getNodeNameBytes() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: This field is deprecated and will not be set.
getNodeNameToControlRet() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Deprecated.
getNodeNameToControlRet() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Deprecated.
getNodeNameToControlRet() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Deprecated.
getNodeNameToControlRetCount() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
getNodeNameToControlRetCount() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
getNodeNameToControlRetCount() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Maps from node name to control ret.
getNodeNameToControlRetMap() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Maps from node name to control ret.
getNodeNameToControlRetMap() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Maps from node name to control ret.
getNodeNameToControlRetMap() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Maps from node name to control ret.
getNodeNameToControlRetOrDefault(String, String) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Maps from node name to control ret.
getNodeNameToControlRetOrDefault(String, String) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Maps from node name to control ret.
getNodeNameToControlRetOrDefault(String, String) - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Maps from node name to control ret.
getNodeNameToControlRetOrThrow(String) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Maps from node name to control ret.
getNodeNameToControlRetOrThrow(String) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Maps from node name to control ret.
getNodeNameToControlRetOrThrow(String) - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Maps from node name to control ret.
getNodeOrBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilder(int) - Method in interface org.tensorflow.proto.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilder(int) - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilder(int) - Method in class org.tensorflow.proto.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilder(int) - Method in interface org.tensorflow.proto.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilderList() - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilderList() - Method in class org.tensorflow.proto.CostGraphDef: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilderList() - Method in interface org.tensorflow.proto.CostGraphDefOrBuilder: repeated .tensorflow.CostGraphDef.Node node = 1;
getNodeOrBuilderList() - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilderList() - Method in class org.tensorflow.proto.GraphDef: repeated .tensorflow.NodeDef node = 1;
getNodeOrBuilderList() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: repeated .tensorflow.NodeDef node = 1;
getNodeOutputInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfo(int) - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoCount() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoCount() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoCount() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoList() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoList() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilder(int) - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilder(int) - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilderList() - Method in class org.tensorflow.proto.GraphTransferInfo: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodeOutputInfoOrBuilderList() - Method in interface org.tensorflow.proto.GraphTransferInfoOrBuilder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
getNodes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: Deprecated.
getNodes() - Method in class org.tensorflow.proto.data.model.Model.ModelProto: Deprecated.
getNodes() - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: Deprecated.
getNodes(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodes(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph: Flattened list of objects in the object graph.
getNodes(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraphOrBuilder: Flattened list of objects in the object graph.
getNodes(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodes(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodes(int) - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraphOrBuilder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodesBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodesBuilderList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesCount() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
getNodesCount() - Method in class org.tensorflow.proto.data.model.Model.ModelProto
getNodesCount() - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: Map of node IDs to nodes of this model.
getNodesCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodesCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph: Flattened list of objects in the object graph.
getNodesCount() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraphOrBuilder: Flattened list of objects in the object graph.
getNodesCount() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesCount() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesCount() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraphOrBuilder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodesList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph: Flattened list of objects in the object graph.
getNodesList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraphOrBuilder: Flattened list of objects in the object graph.
getNodesList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesList() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraphOrBuilder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesMap() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: Map of node IDs to nodes of this model.
getNodesMap() - Method in class org.tensorflow.proto.data.model.Model.ModelProto: Map of node IDs to nodes of this model.
getNodesMap() - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: Map of node IDs to nodes of this model.
getNodesOrBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodesOrBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph: Flattened list of objects in the object graph.
getNodesOrBuilder(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraphOrBuilder: Flattened list of objects in the object graph.
getNodesOrBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesOrBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesOrBuilder(int) - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraphOrBuilder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesOrBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
getNodesOrBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph: Flattened list of objects in the object graph.
getNodesOrBuilderList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraphOrBuilder: Flattened list of objects in the object graph.
getNodesOrBuilderList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesOrBuilderList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesOrBuilderList() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraphOrBuilder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
getNodesOrDefault(long, Model.ModelProto.Node) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: Map of node IDs to nodes of this model.
getNodesOrDefault(long, Model.ModelProto.Node) - Method in class org.tensorflow.proto.data.model.Model.ModelProto: Map of node IDs to nodes of this model.
getNodesOrDefault(long, Model.ModelProto.Node) - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: Map of node IDs to nodes of this model.
getNodesOrThrow(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: Map of node IDs to nodes of this model.
getNodesOrThrow(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto: Map of node IDs to nodes of this model.
getNodesOrThrow(long) - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: Map of node IDs to nodes of this model.
getNodeStats(int) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStats(int) - Method in class org.tensorflow.proto.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStats(int) - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsBuilder(int) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsBuilderList() - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsCount() - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsCount() - Method in class org.tensorflow.proto.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsCount() - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsList() - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsList() - Method in class org.tensorflow.proto.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsList() - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilder(int) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilder(int) - Method in class org.tensorflow.proto.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilder(int) - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilderList() - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilderList() - Method in class org.tensorflow.proto.DeviceStepStats: repeated .tensorflow.NodeExecStats node_stats = 2;
getNodeStatsOrBuilderList() - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: repeated .tensorflow.NodeExecStats node_stats = 2;
getNoneValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents None.
getNoneValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents None.
getNoneValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents None.
getNoneValueBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents None.
getNoneValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents None.
getNoneValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents None.
getNoneValueOrBuilder() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents None.
getNoopElimination() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool noop_elimination = 14;
getNoopElimination() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool noop_elimination = 14;
getNoopElimination() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool noop_elimination = 14;
getNormalizer() - Method in class org.tensorflow.framework.metrics.MeanRelativeError: Gets the normalizer Operand
getNum() - Method in class org.tensorflow.proto.HistogramProto.Builder: double num = 3;
getNum() - Method in class org.tensorflow.proto.HistogramProto: double num = 3;
getNum() - Method in interface org.tensorflow.proto.HistogramProtoOrBuilder: double num = 3;
getNumAllocs() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: int64 num_allocs = 1;
getNumAllocs() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats: int64 num_allocs = 1;
getNumAllocs() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemAllocatorStatsOrBuilder: int64 num_allocs = 1;
getNumaNode() - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional NUMA locality of device.
getNumaNode() - Method in class org.tensorflow.proto.DeviceLocality: Optional NUMA locality of device.
getNumaNode() - Method in interface org.tensorflow.proto.DeviceLocalityOrBuilder: Optional NUMA locality of device.
getNumber() - Method in enum org.tensorflow.proto.ApiDef.Visibility
getNumber() - Method in enum org.tensorflow.proto.AttrValue.ValueCase
getNumber() - Method in enum org.tensorflow.proto.BundleHeaderProto.Endianness
getNumber() - Method in enum org.tensorflow.proto.CollectionDef.KindCase
getNumber() - Method in enum org.tensorflow.proto.CommitId.KindCase
getNumber() - Method in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout
getNumber() - Method in enum org.tensorflow.proto.ControlFlowContextDef.CtxtCase
getNumber() - Method in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource
getNumber() - Method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression
getNumber() - Method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.OptionalElementSpecCase
getNumber() - Method in enum org.tensorflow.proto.data.DataService.DeploymentMode
getNumber() - Method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalAutotuneAlgorithmCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalCpuBudgetCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalEnabledCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalInitialParallelismCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalRamBudgetCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.DistributeOptions.OptionalNumDevicesCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalApplyDefaultOptimizationsCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterFusionCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterParallelizationCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalInjectPrefetchCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndBatchFusionCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndFilterFusionCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapFusionCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapParallelizationCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalNoopEliminationCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalParallelBatchCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalSeqInterleavePrefetchCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalShuffleAndRepeatFusionCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDatasetNameCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDeterministicCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalExternalStatePolicyCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSlackCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSymbolicCheckpointCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalWarmStartCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.ServiceOptions.OptionalPinnedCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalMaxIntraOpParallelismCase
getNumber() - Method in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalPrivateThreadpoolSizeCase
getNumber() - Method in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm
getNumber() - Method in enum org.tensorflow.proto.data.model.Model.NodeClass
getNumber() - Method in enum org.tensorflow.proto.DataClass
getNumber() - Method in enum org.tensorflow.proto.DataType
getNumber() - Method in enum org.tensorflow.proto.DebugEvent.WhatCase
getNumber() - Method in enum org.tensorflow.proto.EntryValue.KindCase
getNumber() - Method in enum org.tensorflow.proto.error.Code
getNumber() - Method in enum org.tensorflow.proto.Event.WhatCase
getNumber() - Method in enum org.tensorflow.proto.Feature.KindCase
getNumber() - Method in enum org.tensorflow.proto.FeatureConfiguration.ConfigCase
getNumber() - Method in enum org.tensorflow.proto.FullTypeDef.AttrCase
getNumber() - Method in enum org.tensorflow.proto.FullTypeId
getNumber() - Method in enum org.tensorflow.proto.GraphTransferInfo.Destination
getNumber() - Method in enum org.tensorflow.proto.LogMessage.Level: Deprecated.
getNumber() - Method in enum org.tensorflow.proto.OpPerformanceData.OpPerformance.ExecutionTimeCase
getNumber() - Method in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource
getNumber() - Method in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel
getNumber() - Method in enum org.tensorflow.proto.OptimizerOptions.Level
getNumber() - Method in enum org.tensorflow.proto.profiler.Xplane.XEvent.DataCase
getNumber() - Method in enum org.tensorflow.proto.profiler.Xplane.XStat.ValueCase
getNumber() - Method in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType
getNumber() - Method in enum org.tensorflow.proto.RewriterConfig.CpuLayout
getNumber() - Method in enum org.tensorflow.proto.RewriterConfig.MemOptType
getNumber() - Method in enum org.tensorflow.proto.RewriterConfig.NumIterationsType
getNumber() - Method in enum org.tensorflow.proto.RewriterConfig.Toggle
getNumber() - Method in enum org.tensorflow.proto.RunOptions.TraceLevel
getNumber() - Method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile
getNumber() - Method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase
getNumber() - Method in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion
getNumber() - Method in enum org.tensorflow.proto.SessionLog.SessionStatus
getNumber() - Method in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
getNumber() - Method in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass
getNumber() - Method in enum org.tensorflow.proto.Summary.Value.ValueCase
getNumber() - Method in enum org.tensorflow.proto.TensorDebugMode
getNumber() - Method in enum org.tensorflow.proto.TensorInfo.EncodingCase
getNumber() - Method in enum org.tensorflow.proto.TensorSliceProto.Extent.HasLengthCase
getNumber() - Method in enum org.tensorflow.proto.TestResults.BenchmarkType
getNumber() - Method in enum org.tensorflow.proto.VariableAggregation
getNumber() - Method in enum org.tensorflow.proto.VariableSynchronization
getNumber() - Method in enum org.tensorflow.proto.VerifierConfig.Toggle
getNumber() - Method in enum org.tensorflow.proto.WorkerHealth
getNumber() - Method in enum org.tensorflow.proto.WorkerShutdownMode
getNumberAttr() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: if specified, attr must have type "int"
getNumberAttr() - Method in class org.tensorflow.proto.OpDef.ArgDef: if specified, attr must have type "int"
getNumberAttr() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: if specified, attr must have type "int"
getNumberAttrBytes() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: if specified, attr must have type "int"
getNumberAttrBytes() - Method in class org.tensorflow.proto.OpDef.ArgDef: if specified, attr must have type "int"
getNumberAttrBytes() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: if specified, attr must have type "int"
getNumBytes() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Number of bytes in the allocation.
getNumBytes() - Method in class org.tensorflow.proto.MemoryLogRawAllocation: Number of bytes in the allocation.
getNumBytes() - Method in interface org.tensorflow.proto.MemoryLogRawAllocationOrBuilder: Number of bytes in the allocation.
getNumChannels() - Method in class org.tensorflow.proto.Summary.Audio.Builder: Number of channels of audio.
getNumChannels() - Method in class org.tensorflow.proto.Summary.Audio: Number of channels of audio.
getNumChannels() - Method in interface org.tensorflow.proto.Summary.AudioOrBuilder: Number of channels of audio.
getNumChannelsPerTarget() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: Setting num_channels_per_target > 0 allows uses of multiple channels to communicate to the same target.
getNumChannelsPerTarget() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions: Setting num_channels_per_target > 0 allows uses of multiple channels to communicate to the same target.
getNumChannelsPerTarget() - Method in interface org.tensorflow.proto.RpcOptions.RPCOptionsOrBuilder: Setting num_channels_per_target > 0 allows uses of multiple channels to communicate to the same target.
getNumCores() - Method in class org.tensorflow.proto.CPUInfo.Builder: int64 num_cores = 1;
getNumCores() - Method in class org.tensorflow.proto.CPUInfo: int64 num_cores = 1;
getNumCores() - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: int64 num_cores = 1;
getNumCores() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Number of cores
getNumCores() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Number of cores
getNumCores() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Number of cores
getNumCoresAllowed() - Method in class org.tensorflow.proto.CPUInfo.Builder: int64 num_cores_allowed = 2;
getNumCoresAllowed() - Method in class org.tensorflow.proto.CPUInfo: int64 num_cores_allowed = 2;
getNumCoresAllowed() - Method in interface org.tensorflow.proto.CPUInfoOrBuilder: int64 num_cores_allowed = 2;
getNumDevices() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder: int32 num_devices = 2;
getNumDevices() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions: int32 num_devices = 2;
getNumDevices() - Method in interface org.tensorflow.proto.data.DatasetOptions.DistributeOptionsOrBuilder: int32 num_devices = 2;
getNumDevToDevCopyStreams() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
getNumDevToDevCopyStreams() - Method in class org.tensorflow.proto.GPUOptions.Experimental: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
getNumDevToDevCopyStreams() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
getNumElements() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: The number of elements in the snapshot.
getNumElements() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: The number of elements in the snapshot.
getNumElements() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: The number of elements in the snapshot.
getNumElements() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of elements produced by the node.
getNumElements() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: The number of elements produced by the node.
getNumElements() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: The number of elements produced by the node.
getNumFlatComponents() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The number of flat tensor components required by this TypeSpec.
getNumFlatComponents() - Method in class org.tensorflow.proto.Struct.TypeSpecProto: The number of flat tensor components required by this TypeSpec.
getNumFlatComponents() - Method in interface org.tensorflow.proto.Struct.TypeSpecProtoOrBuilder: The number of flat tensor components required by this TypeSpec.
getNumLabels() - Method in class org.tensorflow.framework.metrics.AUC
getNumOccurrences() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: Number of occurrences of the event, if aggregated.
getNumOccurrences() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent: Number of occurrences of the event, if aggregated.
getNumOccurrences() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventOrBuilder: Number of occurrences of the event, if aggregated.
getNumOutputs() - Method in class org.tensorflow.proto.Execution.Builder: Number of output tensors.
getNumOutputs() - Method in class org.tensorflow.proto.Execution: Number of output tensors.
getNumOutputs() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Number of output tensors.
getNumOutputs() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Number of output tensors emitted by the op.
getNumOutputs() - Method in class org.tensorflow.proto.GraphOpCreation: Number of output tensors emitted by the op.
getNumOutputs() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Number of output tensors emitted by the op.
getNumpyValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for np.ndarray.
getNumpyValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for np.ndarray.
getNumpyValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for np.ndarray.
getNumpyValueBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for np.ndarray.
getNumpyValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for np.ndarray.
getNumpyValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for np.ndarray.
getNumpyValueOrBuilder() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for np.ndarray.
getNumRecordsProduced() - Method in class org.tensorflow.proto.ReaderBaseState.Builder: int64 num_records_produced = 3;
getNumRecordsProduced() - Method in class org.tensorflow.proto.ReaderBaseState: int64 num_records_produced = 3;
getNumRecordsProduced() - Method in interface org.tensorflow.proto.ReaderBaseStateOrBuilder: int64 num_records_produced = 3;
getNumRegisters() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Number of registers per core.
getNumRegisters() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Number of registers per core.
getNumRegisters() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Number of registers per core.
getNumReplicas() - Method in class org.tensorflow.proto.AutoParallelOptions.Builder: int32 num_replicas = 2;
getNumReplicas() - Method in class org.tensorflow.proto.AutoParallelOptions: int32 num_replicas = 2;
getNumReplicas() - Method in interface org.tensorflow.proto.AutoParallelOptionsOrBuilder: int32 num_replicas = 2;
getNumReturnNodes() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Number of return nodes.
getNumReturnNodes() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Number of return nodes.
getNumReturnNodes() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Number of return nodes.
getNumShards() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: Number of data files in the bundle.
getNumShards() - Method in class org.tensorflow.proto.BundleHeaderProto: Number of data files in the bundle.
getNumShards() - Method in interface org.tensorflow.proto.BundleHeaderProtoOrBuilder: Number of data files in the bundle.
getNumTasks() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder: int32 num_tasks = 2;
getNumTasks() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob: int32 num_tasks = 2;
getNumTasks() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinatedJobOrBuilder: int32 num_tasks = 2;
getNumThreads() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder: The number of threads in the pool. 0 means the system picks a value based on where this option proto is used (see the declaration of the specific field for more info).
getNumThreads() - Method in class org.tensorflow.proto.ThreadPoolOptionProto: The number of threads in the pool. 0 means the system picks a value based on where this option proto is used (see the declaration of the specific field for more info).
getNumThreads() - Method in interface org.tensorflow.proto.ThreadPoolOptionProtoOrBuilder: The number of threads in the pool. 0 means the system picks a value based on where this option proto is used (see the declaration of the specific field for more info).
getNumThresholds() - Method in class org.tensorflow.framework.metrics.AUC
getNumThresholds() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the numThresholds
getNumThresholds() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the numThresholds
getNumThresholds() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the numThresholds
getNumThresholds() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the numThresholds
getNumVirtualDevicesPerGpu() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The number of virtual devices to create on each visible GPU.
getNumVirtualDevicesPerGpu() - Method in class org.tensorflow.proto.GPUOptions.Experimental: The number of virtual devices to create on each visible GPU.
getNumVirtualDevicesPerGpu() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: The number of virtual devices to create on each visible GPU.
getObjectGraphDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
getObjectGraphDef() - Method in class org.tensorflow.proto.MetaGraphDef: Extra information about the structure of functions and stateful objects.
getObjectGraphDef() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: Extra information about the structure of functions and stateful objects.
getObjectGraphDefBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
getObjectGraphDefOrBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
getObjectGraphDefOrBuilder() - Method in class org.tensorflow.proto.MetaGraphDef: Extra information about the structure of functions and stateful objects.
getObjectGraphDefOrBuilder() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: Extra information about the structure of functions and stateful objects.
getObjectName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder: Unique auto-generated name of the object.
getObjectName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver: Unique auto-generated name of the object.
getObjectName() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaverOrBuilder: Unique auto-generated name of the object.
getObjectNameBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder: Unique auto-generated name of the object.
getObjectNameBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver: Unique auto-generated name of the object.
getObjectNameBytes() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaverOrBuilder: Unique auto-generated name of the object.
getObsoleteOldStyleHistogram() - Method in class org.tensorflow.proto.Summary.Value.Builder: bytes obsolete_old_style_histogram = 3;
getObsoleteOldStyleHistogram() - Method in class org.tensorflow.proto.Summary.Value: bytes obsolete_old_style_histogram = 3;
getObsoleteOldStyleHistogram() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: bytes obsolete_old_style_histogram = 3;
getOffset() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: int64 offset = 4;
getOffset() - Method in class org.tensorflow.proto.BundleEntryProto: int64 offset = 4;
getOffset() - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: int64 offset = 4;
getOffset() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder: uint64 offset = 1;
getOffset() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement: uint64 offset = 1;
getOffset() - Method in interface org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElementOrBuilder: uint64 offset = 1;
getOffsetPs() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
getOffsetPs() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
getOffsetPs() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventOrBuilder: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
getOp() - Method in class org.tensorflow.proto.KernelDef.Builder: Must match the name of an Op.
getOp() - Method in class org.tensorflow.proto.KernelDef: Must match the name of an Op.
getOp() - Method in interface org.tensorflow.proto.KernelDefOrBuilder: Must match the name of an Op.
getOp() - Method in class org.tensorflow.proto.NodeDef.Builder: The operation name.
getOp() - Method in class org.tensorflow.proto.NodeDef: The operation name.
getOp() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: The operation name.
getOp() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: The operation name.
getOp() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: The operation name.
getOp() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: The operation name.
getOp() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The op
getOp() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: The op
getOp() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: The op
getOp(int) - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOp(int) - Method in class org.tensorflow.proto.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOp(int) - Method in interface org.tensorflow.proto.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOp(int) - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOp(int) - Method in class org.tensorflow.proto.OpList: repeated .tensorflow.OpDef op = 1;
getOp(int) - Method in interface org.tensorflow.proto.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The op
getOpBuilder(int) - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpBuilder(int) - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpBuilderList() - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpBuilderList() - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpBytes() - Method in class org.tensorflow.proto.KernelDef.Builder: Must match the name of an Op.
getOpBytes() - Method in class org.tensorflow.proto.KernelDef: Must match the name of an Op.
getOpBytes() - Method in interface org.tensorflow.proto.KernelDefOrBuilder: Must match the name of an Op.
getOpBytes() - Method in class org.tensorflow.proto.NodeDef.Builder: The operation name.
getOpBytes() - Method in class org.tensorflow.proto.NodeDef: The operation name.
getOpBytes() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: The operation name.
getOpBytes() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: The operation name.
getOpBytes() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: The operation name.
getOpBytes() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: The operation name.
getOpCount() - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpCount() - Method in class org.tensorflow.proto.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOpCount() - Method in interface org.tensorflow.proto.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOpCount() - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpCount() - Method in class org.tensorflow.proto.OpList: repeated .tensorflow.OpDef op = 1;
getOpCount() - Method in interface org.tensorflow.proto.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpDevice() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Device of the operation producing this tensor.
getOpDevice() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: Device of the operation producing this tensor.
getOpDevice() - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: Device of the operation producing this tensor.
getOpDeviceBytes() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Device of the operation producing this tensor.
getOpDeviceBytes() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: Device of the operation producing this tensor.
getOpDeviceBytes() - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: Device of the operation producing this tensor.
getOpEndRelMicros() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 op_end_rel_micros = 4;
getOpEndRelMicros() - Method in class org.tensorflow.proto.NodeExecStats: int64 op_end_rel_micros = 4;
getOpEndRelMicros() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: int64 op_end_rel_micros = 4;
getOpEndRelNanos() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 op_end_rel_nanos = 15;
getOpEndRelNanos() - Method in class org.tensorflow.proto.NodeExecStats: int64 op_end_rel_nanos = 15;
getOpEndRelNanos() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: int64 op_end_rel_nanos = 15;
getOperation() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
getOperation() - Method in class org.tensorflow.proto.MemoryLogRawAllocation: Name of the operation making the allocation.
getOperation() - Method in interface org.tensorflow.proto.MemoryLogRawAllocationOrBuilder: Name of the operation making the allocation.
getOperation() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
getOperation() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation: Name of the operation making the deallocation.
getOperation() - Method in interface org.tensorflow.proto.MemoryLogRawDeallocationOrBuilder: Name of the operation making the deallocation.
getOperation() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
getOperation() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
getOperation() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstantOrBuilder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
getOperationBytes() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
getOperationBytes() - Method in class org.tensorflow.proto.MemoryLogRawAllocation: Name of the operation making the allocation.
getOperationBytes() - Method in interface org.tensorflow.proto.MemoryLogRawAllocationOrBuilder: Name of the operation making the allocation.
getOperationBytes() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
getOperationBytes() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation: Name of the operation making the deallocation.
getOperationBytes() - Method in interface org.tensorflow.proto.MemoryLogRawDeallocationOrBuilder: Name of the operation making the deallocation.
getOperationBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
getOperationBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
getOperationBytes() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstantOrBuilder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
getOperationTimeoutInMs() - Method in class org.tensorflow.proto.ConfigProto.Builder: Global timeout for all blocking operations in this session.
getOperationTimeoutInMs() - Method in class org.tensorflow.proto.ConfigProto: Global timeout for all blocking operations in this session.
getOperationTimeoutInMs() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Global timeout for all blocking operations in this session.
getOpId() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: The ID of the operation that produced this tensor.
getOpId() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: The ID of the operation that produced this tensor.
getOpId() - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: The ID of the operation that produced this tensor.
getOpList() - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpList() - Method in class org.tensorflow.proto.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOpList() - Method in interface org.tensorflow.proto.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOpList() - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpList() - Method in class org.tensorflow.proto.OpList: repeated .tensorflow.OpDef op = 1;
getOpList() - Method in interface org.tensorflow.proto.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpMemory() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpMemoryBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpMemoryOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpMemoryOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpMemoryOrBuilder() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
getOpName() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: string op_name = 5;
getOpName() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk: string op_name = 5;
getOpName() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemChunkOrBuilder: string op_name = 5;
getOpName() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
getOpName() - Method in class org.tensorflow.proto.GraphExecutionTrace: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
getOpName() - Method in interface org.tensorflow.proto.GraphExecutionTraceOrBuilder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
getOpName() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the op (e.g., "Dense/MatMul_1").
getOpName() - Method in class org.tensorflow.proto.GraphOpCreation: Name of the op (e.g., "Dense/MatMul_1").
getOpName() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Name of the op (e.g., "Dense/MatMul_1").
getOpNameBytes() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: string op_name = 5;
getOpNameBytes() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk: string op_name = 5;
getOpNameBytes() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemChunkOrBuilder: string op_name = 5;
getOpNameBytes() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
getOpNameBytes() - Method in class org.tensorflow.proto.GraphExecutionTrace: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
getOpNameBytes() - Method in interface org.tensorflow.proto.GraphExecutionTraceOrBuilder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
getOpNameBytes() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the op (e.g., "Dense/MatMul_1").
getOpNameBytes() - Method in class org.tensorflow.proto.GraphOpCreation: Name of the op (e.g., "Dense/MatMul_1").
getOpNameBytes() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Name of the op (e.g., "Dense/MatMul_1").
getOpOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The op
getOpOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: The op
getOpOrBuilder() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: The op
getOpOrBuilder(int) - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilder(int) - Method in class org.tensorflow.proto.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilder(int) - Method in interface org.tensorflow.proto.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilder(int) - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpOrBuilder(int) - Method in class org.tensorflow.proto.OpList: repeated .tensorflow.OpDef op = 1;
getOpOrBuilder(int) - Method in interface org.tensorflow.proto.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpOrBuilderList() - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilderList() - Method in class org.tensorflow.proto.ApiDefs: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilderList() - Method in interface org.tensorflow.proto.ApiDefsOrBuilder: repeated .tensorflow.ApiDef op = 1;
getOpOrBuilderList() - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
getOpOrBuilderList() - Method in class org.tensorflow.proto.OpList: repeated .tensorflow.OpDef op = 1;
getOpOrBuilderList() - Method in interface org.tensorflow.proto.OpListOrBuilder: repeated .tensorflow.OpDef op = 1;
getOpPerformance(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformance(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformance(int) - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceListOrBuilder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceBuilder(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceBuilderList() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceCount() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceCount() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceCount() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceListOrBuilder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceList() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceList() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceList() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceListOrBuilder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceOrBuilder(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceOrBuilder(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceOrBuilder(int) - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceListOrBuilder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceOrBuilderList() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceOrBuilderList() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList: repeated .tensorflow.OpPerformance op_performance = 1;
getOpPerformanceOrBuilderList() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceListOrBuilder: repeated .tensorflow.OpPerformance op_performance = 1;
getOpsInstance() - Method in class org.tensorflow.framework.data.Dataset: Gets the TensorFlow Ops instance for this dataset
getOpsInstance() - Method in class org.tensorflow.framework.data.DatasetIterator
getOpsInstance() - Method in class org.tensorflow.framework.data.DatasetOptional: Gets the TensorFlow Ops instance for this dataset
getOpStartRelMicros() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 op_start_rel_micros = 3;
getOpStartRelMicros() - Method in class org.tensorflow.proto.NodeExecStats: int64 op_start_rel_micros = 3;
getOpStartRelMicros() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: int64 op_start_rel_micros = 3;
getOpStartRelNanos() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 op_start_rel_nanos = 14;
getOpStartRelNanos() - Method in class org.tensorflow.proto.NodeExecStats: int64 op_start_rel_nanos = 14;
getOpStartRelNanos() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: int64 op_start_rel_nanos = 14;
getOptimizationOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The optimization options associated with the dataset.
getOptimizationOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The optimization options associated with the dataset.
getOptimizationOptions() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The optimization options associated with the dataset.
getOptimizationOptionsBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The optimization options associated with the dataset.
getOptimizationOptionsOrBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The optimization options associated with the dataset.
getOptimizationOptionsOrBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The optimization options associated with the dataset.
getOptimizationOptionsOrBuilder() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The optimization options associated with the dataset.
getOptimizationParams() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationParams() - Method in class org.tensorflow.proto.data.model.Model.ModelProto: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationParams() - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationParamsBuilder() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationParamsOrBuilder() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationParamsOrBuilder() - Method in class org.tensorflow.proto.data.model.Model.ModelProto: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationParamsOrBuilder() - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
getOptimizationTimeUsecs() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Time (in microseconds) spent on running the graph optimization passes for this function.
getOptimizationTimeUsecs() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Time (in microseconds) spent on running the graph optimization passes for this function.
getOptimizationTimeUsecs() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Time (in microseconds) spent on running the graph optimization passes for this function.
getOptimizeForStaticGraph() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, the session may treat the graph as being static for optimization purposes.
getOptimizeForStaticGraph() - Method in class org.tensorflow.proto.ConfigProto.Experimental: If true, the session may treat the graph as being static for optimization purposes.
getOptimizeForStaticGraph() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: If true, the session may treat the graph as being static for optimization purposes.
getOptimizerName() - Method in class org.tensorflow.framework.optimizers.AdaDelta: Get the Name of the optimizer.
getOptimizerName() - Method in class org.tensorflow.framework.optimizers.AdaGrad: Get the Name of the optimizer.
getOptimizerName() - Method in class org.tensorflow.framework.optimizers.AdaGradDA: Get the Name of the optimizer.
getOptimizerName() - Method in class org.tensorflow.framework.optimizers.Adam: Get the Name of the optimizer.
getOptimizerName() - Method in class org.tensorflow.framework.optimizers.Adamax: Get the Name of the optimizer.
getOptimizerName() - Method in class org.tensorflow.framework.optimizers.Ftrl: Get the Name of the optimizer.
getOptimizerName() - Method in class org.tensorflow.framework.optimizers.GradientDescent: Get the Name of the optimizer.
getOptimizerName() - Method in class org.tensorflow.framework.optimizers.Momentum: Get the Name of the optimizer.
getOptimizerName() - Method in class org.tensorflow.framework.optimizers.Nadam: Get the Name of the optimizer.
getOptimizerName() - Method in class org.tensorflow.framework.optimizers.Optimizer: Get the Name of the optimizer.
getOptimizerName() - Method in class org.tensorflow.framework.optimizers.RMSProp: Get the Name of the optimizer.
getOptimizerOptions() - Method in class org.tensorflow.proto.GraphOptions.Builder: Options controlling how graph is optimized.
getOptimizerOptions() - Method in class org.tensorflow.proto.GraphOptions: Options controlling how graph is optimized.
getOptimizerOptions() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: Options controlling how graph is optimized.
getOptimizerOptionsBuilder() - Method in class org.tensorflow.proto.GraphOptions.Builder: Options controlling how graph is optimized.
getOptimizerOptionsOrBuilder() - Method in class org.tensorflow.proto.GraphOptions.Builder: Options controlling how graph is optimized.
getOptimizerOptionsOrBuilder() - Method in class org.tensorflow.proto.GraphOptions: Options controlling how graph is optimized.
getOptimizerOptionsOrBuilder() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: Options controlling how graph is optimized.
getOptimizers(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizers(int) - Method in class org.tensorflow.proto.RewriterConfig: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizers(int) - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersBytes(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersBytes(int) - Method in class org.tensorflow.proto.RewriterConfig: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersBytes(int) - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersCount() - Method in class org.tensorflow.proto.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersCount() - Method in class org.tensorflow.proto.RewriterConfig: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersCount() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersList() - Method in class org.tensorflow.proto.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersList() - Method in class org.tensorflow.proto.RewriterConfig: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptimizersList() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
getOptionalApplyDefaultOptimizationsCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getOptionalApplyDefaultOptimizationsCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getOptionalApplyDefaultOptimizationsCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder
getOptionalAutotuneAlgorithmCase() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
getOptionalAutotuneAlgorithmCase() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
getOptionalAutotuneAlgorithmCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder
getOptionalCpuBudgetCase() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
getOptionalCpuBudgetCase() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
getOptionalCpuBudgetCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder
getOptionalDatasetNameCase() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
getOptionalDatasetNameCase() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
getOptionalDatasetNameCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder
getOptionalDeterministicCase() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
getOptionalDeterministicCase() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
getOptionalDeterministicCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder
getOptionalElementSpecCase() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
getOptionalElementSpecCase() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
getOptionalElementSpecCase() - Method in interface org.tensorflow.proto.data.DataService.DataServiceMetadataOrBuilder
getOptionalEnabledCase() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
getOptionalEnabledCase() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
getOptionalEnabledCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder
getOptionalExternalStatePolicyCase() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
getOptionalExternalStatePolicyCase() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
getOptionalExternalStatePolicyCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder
getOptionalFilterFusionCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getOptionalFilterFusionCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getOptionalFilterFusionCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder
getOptionalFilterParallelizationCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getOptionalFilterParallelizationCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getOptionalFilterParallelizationCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder
getOptionalInitialParallelismCase() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
getOptionalInitialParallelismCase() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
getOptionalInitialParallelismCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder
getOptionalInjectPrefetchCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getOptionalInjectPrefetchCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getOptionalInjectPrefetchCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder
getOptionalMapAndBatchFusionCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getOptionalMapAndBatchFusionCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getOptionalMapAndBatchFusionCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder
getOptionalMapAndFilterFusionCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getOptionalMapAndFilterFusionCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getOptionalMapAndFilterFusionCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder
getOptionalMapFusionCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getOptionalMapFusionCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getOptionalMapFusionCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder
getOptionalMapParallelizationCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getOptionalMapParallelizationCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getOptionalMapParallelizationCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder
getOptionalMaxIntraOpParallelismCase() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
getOptionalMaxIntraOpParallelismCase() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
getOptionalMaxIntraOpParallelismCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.ThreadingOptionsOrBuilder
getOptionalNoopEliminationCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getOptionalNoopEliminationCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getOptionalNoopEliminationCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder
getOptionalNumDevicesCase() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
getOptionalNumDevicesCase() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
getOptionalNumDevicesCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.DistributeOptionsOrBuilder
getOptionalParallelBatchCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getOptionalParallelBatchCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getOptionalParallelBatchCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder
getOptionalPinnedCase() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
getOptionalPinnedCase() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
getOptionalPinnedCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.ServiceOptionsOrBuilder
getOptionalPrivateThreadpoolSizeCase() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
getOptionalPrivateThreadpoolSizeCase() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
getOptionalPrivateThreadpoolSizeCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.ThreadingOptionsOrBuilder
getOptionalRamBudgetCase() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
getOptionalRamBudgetCase() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
getOptionalRamBudgetCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder
getOptionalSeqInterleavePrefetchCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getOptionalSeqInterleavePrefetchCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getOptionalSeqInterleavePrefetchCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder
getOptionalShuffleAndRepeatFusionCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
getOptionalShuffleAndRepeatFusionCase() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getOptionalShuffleAndRepeatFusionCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder
getOptionalSlackCase() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
getOptionalSlackCase() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
getOptionalSlackCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder
getOptionalSymbolicCheckpointCase() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
getOptionalSymbolicCheckpointCase() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
getOptionalSymbolicCheckpointCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder
getOptionalVariant() - Method in class org.tensorflow.framework.data.DatasetOptional: Gets the optional variant for this Dataset
getOptionalWarmStartCase() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
getOptionalWarmStartCase() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
getOptionalWarmStartCase() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder
getOptions(Operand) - Method in class org.tensorflow.op.Ops: Returns the tf.data.Options attached to input_dataset.
GetOptions - Class in org.tensorflow.op.core: Returns the tf.data.Options attached to input_dataset.
GetOptions(Operation) - Constructor for class org.tensorflow.op.core.GetOptions
GetOptions.Inputs - Class in org.tensorflow.op.core
getOptLevel() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: Overall optimization level.
getOptLevel() - Method in class org.tensorflow.proto.OptimizerOptions: Overall optimization level.
getOptLevel() - Method in interface org.tensorflow.proto.OptimizerOptionsOrBuilder: Overall optimization level.
getOptLevelValue() - Method in class org.tensorflow.proto.OptimizerOptions.Builder: Overall optimization level.
getOptLevelValue() - Method in class org.tensorflow.proto.OptimizerOptions: Overall optimization level.
getOptLevelValue() - Method in interface org.tensorflow.proto.OptimizerOptionsOrBuilder: Overall optimization level.
getOpts(int) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: Bazel compilation options, if known
getOpts(int) - Method in class org.tensorflow.proto.BuildConfiguration: Bazel compilation options, if known
getOpts(int) - Method in interface org.tensorflow.proto.BuildConfigurationOrBuilder: Bazel compilation options, if known
getOptsBytes(int) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: Bazel compilation options, if known
getOptsBytes(int) - Method in class org.tensorflow.proto.BuildConfiguration: Bazel compilation options, if known
getOptsBytes(int) - Method in interface org.tensorflow.proto.BuildConfigurationOrBuilder: Bazel compilation options, if known
getOptsCount() - Method in class org.tensorflow.proto.BuildConfiguration.Builder: Bazel compilation options, if known
getOptsCount() - Method in class org.tensorflow.proto.BuildConfiguration: Bazel compilation options, if known
getOptsCount() - Method in interface org.tensorflow.proto.BuildConfigurationOrBuilder: Bazel compilation options, if known
getOptsList() - Method in class org.tensorflow.proto.BuildConfiguration.Builder: Bazel compilation options, if known
getOptsList() - Method in class org.tensorflow.proto.BuildConfiguration: Bazel compilation options, if known
getOptsList() - Method in interface org.tensorflow.proto.BuildConfigurationOrBuilder: Bazel compilation options, if known
getOpType() - Method in class org.tensorflow.proto.Execution.Builder: Op type (e.g., "MatMul").
getOpType() - Method in class org.tensorflow.proto.Execution: Op type (e.g., "MatMul").
getOpType() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Op type (e.g., "MatMul").
getOpType() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Type of the op (e.g., "MatMul").
getOpType() - Method in class org.tensorflow.proto.GraphOpCreation: Type of the op (e.g., "MatMul").
getOpType() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Type of the op (e.g., "MatMul").
getOpTypeBytes() - Method in class org.tensorflow.proto.Execution.Builder: Op type (e.g., "MatMul").
getOpTypeBytes() - Method in class org.tensorflow.proto.Execution: Op type (e.g., "MatMul").
getOpTypeBytes() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Op type (e.g., "MatMul").
getOpTypeBytes() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Type of the op (e.g., "MatMul").
getOpTypeBytes() - Method in class org.tensorflow.proto.GraphOpCreation: Type of the op (e.g., "MatMul").
getOpTypeBytes() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Type of the op (e.g., "MatMul").
getOriginalFuncNames(int) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNames(int) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNames(int) - Method in interface org.tensorflow.proto.NodeDef.ExperimentalDebugInfoOrBuilder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesBytes(int) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesBytes(int) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesBytes(int) - Method in interface org.tensorflow.proto.NodeDef.ExperimentalDebugInfoOrBuilder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesCount() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesCount() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesCount() - Method in interface org.tensorflow.proto.NodeDef.ExperimentalDebugInfoOrBuilder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesList() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesList() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalFuncNamesList() - Method in interface org.tensorflow.proto.NodeDef.ExperimentalDebugInfoOrBuilder: This is intended to store the list of names of the functions from the original graph that this node was derived.
getOriginalGraphDef() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Original (uninstrumented) GraphDef (if available).
getOriginalGraphDef() - Method in class org.tensorflow.proto.DebuggedGraph: Original (uninstrumented) GraphDef (if available).
getOriginalGraphDef() - Method in interface org.tensorflow.proto.DebuggedGraphOrBuilder: Original (uninstrumented) GraphDef (if available).
getOriginalNodeNames(int) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNames(int) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNames(int) - Method in interface org.tensorflow.proto.NodeDef.ExperimentalDebugInfoOrBuilder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesBytes(int) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesBytes(int) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesBytes(int) - Method in interface org.tensorflow.proto.NodeDef.ExperimentalDebugInfoOrBuilder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesCount() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesCount() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesCount() - Method in interface org.tensorflow.proto.NodeDef.ExperimentalDebugInfoOrBuilder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesList() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesList() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo: Opaque string inserted into error messages created by the runtime.
getOriginalNodeNamesList() - Method in interface org.tensorflow.proto.NodeDef.ExperimentalDebugInfoOrBuilder: Opaque string inserted into error messages created by the runtime.
getOriginalVariableNodeId() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the variable object this slot was created for.
getOriginalVariableNodeId() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference: An index into `TrackableObjectGraph.nodes`, indicating the variable object this slot was created for.
getOriginalVariableNodeId() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReferenceOrBuilder: An index into `TrackableObjectGraph.nodes`, indicating the variable object this slot was created for.
getOutArg(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArg(int) - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArg(int) - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgBuilder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgBuilderList() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgCount() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgCount() - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgCount() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgList() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgList() - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgList() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilder(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilder(int) - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilder(int) - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilderList() - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilderList() - Method in class org.tensorflow.proto.ApiDef: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOutArgOrBuilderList() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
getOuterContextId() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: IDs of the immediate enclosing context (graph), if any.
getOuterContextId() - Method in class org.tensorflow.proto.DebuggedGraph: IDs of the immediate enclosing context (graph), if any.
getOuterContextId() - Method in interface org.tensorflow.proto.DebuggedGraphOrBuilder: IDs of the immediate enclosing context (graph), if any.
getOuterContextIdBytes() - Method in class org.tensorflow.proto.DebuggedGraph.Builder: IDs of the immediate enclosing context (graph), if any.
getOuterContextIdBytes() - Method in class org.tensorflow.proto.DebuggedGraph: IDs of the immediate enclosing context (graph), if any.
getOuterContextIdBytes() - Method in interface org.tensorflow.proto.DebuggedGraphOrBuilder: IDs of the immediate enclosing context (graph), if any.
getOutput() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: ID of the output node of this model.
getOutput() - Method in class org.tensorflow.proto.data.model.Model.ModelProto: ID of the output node of this model.
getOutput() - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: ID of the output node of this model.
getOutput(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutput(int) - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutput(int) - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputArg(int) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
getOutputArg(int) - Method in class org.tensorflow.proto.OpDef: Description of the output(s).
getOutputArg(int) - Method in interface org.tensorflow.proto.OpDefOrBuilder: Description of the output(s).
getOutputArgBuilder(int) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
getOutputArgBuilderList() - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
getOutputArgCount() - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
getOutputArgCount() - Method in class org.tensorflow.proto.OpDef: Description of the output(s).
getOutputArgCount() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Description of the output(s).
getOutputArgList() - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
getOutputArgList() - Method in class org.tensorflow.proto.OpDef: Description of the output(s).
getOutputArgList() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Description of the output(s).
getOutputArgOrBuilder(int) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
getOutputArgOrBuilder(int) - Method in class org.tensorflow.proto.OpDef: Description of the output(s).
getOutputArgOrBuilder(int) - Method in interface org.tensorflow.proto.OpDefOrBuilder: Description of the output(s).
getOutputArgOrBuilderList() - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
getOutputArgOrBuilderList() - Method in class org.tensorflow.proto.OpDef: Description of the output(s).
getOutputArgOrBuilderList() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Description of the output(s).
getOutputBatchDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents batch in the output.
getOutputBatchDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimension that represents batch in the output.
getOutputBatchDimension() - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimension that represents batch in the output.
getOutputBuilder(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputBuilderList() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputCount() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 output_count = 7;
getOutputCount() - Method in class org.tensorflow.proto.GraphTransferNodeInfo: int32 output_count = 7;
getOutputCount() - Method in interface org.tensorflow.proto.GraphTransferNodeInfoOrBuilder: int32 output_count = 7;
getOutputCount() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputCount() - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutputCount() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputFeatureDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents features in the output.
getOutputFeatureDimension() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimension that represents features in the output.
getOutputFeatureDimension() - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimension that represents features in the output.
getOutputInfo(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfo(int) - Method in class org.tensorflow.proto.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfo(int) - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoBuilderList() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoCount() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoCount() - Method in class org.tensorflow.proto.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoCount() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoList() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoList() - Method in class org.tensorflow.proto.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoList() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilder(int) - Method in class org.tensorflow.proto.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilder(int) - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilderList() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilderList() - Method in class org.tensorflow.proto.CostGraphDef.Node: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputInfoOrBuilderList() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
getOutputList() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputList() - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutputList() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputMemory(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
getOutputMemory(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory: The output information may have memory usage and output shapes.
getOutputMemory(int) - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemoryOrBuilder: The output information may have memory usage and output shapes.
getOutputMemoryCount() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
getOutputMemoryCount() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory: The output information may have memory usage and output shapes.
getOutputMemoryCount() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemoryOrBuilder: The output information may have memory usage and output shapes.
getOutputMemoryList() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
getOutputMemoryList() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory: The output information may have memory usage and output shapes.
getOutputMemoryList() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemoryOrBuilder: The output information may have memory usage and output shapes.
getOutputNum() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: The index into the outputs of the operation that produced this tensor.
getOutputNum() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: The index into the outputs of the operation that produced this tensor.
getOutputNum() - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: The index into the outputs of the operation that produced this tensor.
getOutputOrBuilder(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilder(int) - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilder(int) - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilderList() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilderList() - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.NodeOutput output = 7;
getOutputOrBuilderList() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.NodeOutput output = 7;
getOutputPartitionGraphs() - Method in class org.tensorflow.proto.RunOptions.Builder: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
getOutputPartitionGraphs() - Method in class org.tensorflow.proto.RunOptions: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
getOutputPartitionGraphs() - Method in interface org.tensorflow.proto.RunOptionsOrBuilder: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
getOutputPort() - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder: int32 output_port = 2;
getOutputPort() - Method in class org.tensorflow.proto.GraphTransferNodeInput: int32 output_port = 2;
getOutputPort() - Method in interface org.tensorflow.proto.GraphTransferNodeInputOrBuilder: int32 output_port = 2;
getOutputs() - Method in class org.tensorflow.op.RawOpInputs: The outputs of this operation.
getOutputs() - Method in class org.tensorflow.proto.SignatureDef.Builder: Deprecated.
getOutputs() - Method in class org.tensorflow.proto.SignatureDef: Deprecated.
getOutputs() - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Deprecated.
getOutputs() - Method in class org.tensorflow.Signature: Returns the names of the outputs in this signature mapped to their expected data type, shape, and operand name
getOutputs(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
getOutputs(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Optional description of the op outputs
getOutputs(int) - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Optional description of the op outputs
getOutputsBuilder(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
getOutputsBuilderList() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
getOutputsCount() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
getOutputsCount() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Optional description of the op outputs
getOutputsCount() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Optional description of the op outputs
getOutputsCount() - Method in class org.tensorflow.proto.SignatureDef.Builder
getOutputsCount() - Method in class org.tensorflow.proto.SignatureDef
getOutputsCount() - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named output parameters.
getOutputShapes() - Method in class org.tensorflow.framework.data.Dataset: Gets a list of shapes for each component of this dataset.
getOutputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputSignature() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunctionOrBuilder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputSignatureBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputSignatureOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputSignatureOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputSignatureOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunctionOrBuilder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
getOutputsList() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
getOutputsList() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Optional description of the op outputs
getOutputsList() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Optional description of the op outputs
getOutputSlot() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Output slot to watch.
getOutputSlot() - Method in class org.tensorflow.proto.DebugTensorWatch: Output slot to watch.
getOutputSlot() - Method in interface org.tensorflow.proto.DebugTensorWatchOrBuilder: Output slot to watch.
getOutputSlot() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Output slot of the tensor (applicable only in the case of the `FULL_TENSOR` trace level).
getOutputSlot() - Method in class org.tensorflow.proto.GraphExecutionTrace: Output slot of the tensor (applicable only in the case of the `FULL_TENSOR` trace level).
getOutputSlot() - Method in interface org.tensorflow.proto.GraphExecutionTraceOrBuilder: Output slot of the tensor (applicable only in the case of the `FULL_TENSOR` trace level).
getOutputsMap() - Method in class org.tensorflow.proto.SignatureDef.Builder: Named output parameters.
getOutputsMap() - Method in class org.tensorflow.proto.SignatureDef: Named output parameters.
getOutputsMap() - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named output parameters.
getOutputsOrBuilder(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
getOutputsOrBuilder(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Optional description of the op outputs
getOutputsOrBuilder(int) - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Optional description of the op outputs
getOutputsOrBuilderList() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
getOutputsOrBuilderList() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Optional description of the op outputs
getOutputsOrBuilderList() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Optional description of the op outputs
getOutputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named output parameters.
getOutputsOrDefault(String, TensorInfo) - Method in class org.tensorflow.proto.SignatureDef: Named output parameters.
getOutputsOrDefault(String, TensorInfo) - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named output parameters.
getOutputsOrThrow(String) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named output parameters.
getOutputsOrThrow(String) - Method in class org.tensorflow.proto.SignatureDef: Named output parameters.
getOutputsOrThrow(String) - Method in interface org.tensorflow.proto.SignatureDefOrBuilder: Named output parameters.
getOutputSpatialDimensions(int) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the output.
getOutputSpatialDimensions(int) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimensions that represents spatial dimensions in the output.
getOutputSpatialDimensions(int) - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimensions that represents spatial dimensions in the output.
getOutputSpatialDimensionsCount() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the output.
getOutputSpatialDimensionsCount() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimensions that represents spatial dimensions in the output.
getOutputSpatialDimensionsCount() - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimensions that represents spatial dimensions in the output.
getOutputSpatialDimensionsList() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the output.
getOutputSpatialDimensionsList() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr: The dimensions that represents spatial dimensions in the output.
getOutputSpatialDimensionsList() - Method in interface org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder: The dimensions that represents spatial dimensions in the output.
getOutputTensorDeviceIds(int) - Method in class org.tensorflow.proto.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIds(int) - Method in class org.tensorflow.proto.Execution: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIds(int) - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIdsCount() - Method in class org.tensorflow.proto.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIdsCount() - Method in class org.tensorflow.proto.Execution: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIdsCount() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIdsList() - Method in class org.tensorflow.proto.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIdsList() - Method in class org.tensorflow.proto.Execution: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorDeviceIdsList() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Debugged-generated IDs of the devices on which the output tensors reside.
getOutputTensorIds(int) - Method in class org.tensorflow.proto.Execution.Builder: IDs of the output tensors (if availbable).
getOutputTensorIds(int) - Method in class org.tensorflow.proto.Execution: IDs of the output tensors (if availbable).
getOutputTensorIds(int) - Method in interface org.tensorflow.proto.ExecutionOrBuilder: IDs of the output tensors (if availbable).
getOutputTensorIds(int) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
getOutputTensorIds(int) - Method in class org.tensorflow.proto.GraphOpCreation: Unique IDs for the output tensors of this op.
getOutputTensorIds(int) - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Unique IDs for the output tensors of this op.
getOutputTensorIdsCount() - Method in class org.tensorflow.proto.Execution.Builder: IDs of the output tensors (if availbable).
getOutputTensorIdsCount() - Method in class org.tensorflow.proto.Execution: IDs of the output tensors (if availbable).
getOutputTensorIdsCount() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: IDs of the output tensors (if availbable).
getOutputTensorIdsCount() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
getOutputTensorIdsCount() - Method in class org.tensorflow.proto.GraphOpCreation: Unique IDs for the output tensors of this op.
getOutputTensorIdsCount() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Unique IDs for the output tensors of this op.
getOutputTensorIdsList() - Method in class org.tensorflow.proto.Execution.Builder: IDs of the output tensors (if availbable).
getOutputTensorIdsList() - Method in class org.tensorflow.proto.Execution: IDs of the output tensors (if availbable).
getOutputTensorIdsList() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: IDs of the output tensors (if availbable).
getOutputTensorIdsList() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
getOutputTensorIdsList() - Method in class org.tensorflow.proto.GraphOpCreation: Unique IDs for the output tensors of this op.
getOutputTensorIdsList() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: Unique IDs for the output tensors of this op.
getOutputTypes() - Method in class org.tensorflow.framework.data.Dataset: Gets a list of output types for each component of this dataset.
getPaddingId() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 padding_id = 5;
getPaddingId() - Method in class org.tensorflow.proto.GraphTransferNodeInfo: int32 padding_id = 5;
getPaddingId() - Method in interface org.tensorflow.proto.GraphTransferNodeInfoOrBuilder: int32 padding_id = 5;
getParallelBatch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool parallel_batch = 15;
getParallelBatch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool parallel_batch = 15;
getParallelBatch() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool parallel_batch = 15;
getParallelIterations() - Method in class org.tensorflow.proto.WhileContextDef.Builder: The number of iterations allowed to run in parallel.
getParallelIterations() - Method in class org.tensorflow.proto.WhileContextDef: The number of iterations allowed to run in parallel.
getParallelIterations() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: The number of iterations allowed to run in parallel.
getParameterMap() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: Deprecated.
getParameterMap() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer: Deprecated.
getParameterMap() - Method in interface org.tensorflow.proto.RewriterConfig.CustomGraphOptimizerOrBuilder: Deprecated.
getParameterMapCount() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
getParameterMapCount() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
getParameterMapCount() - Method in interface org.tensorflow.proto.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapMap() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapMap() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapMap() - Method in interface org.tensorflow.proto.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrDefault(String, AttrValue) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrDefault(String, AttrValue) - Method in interface org.tensorflow.proto.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrThrow(String) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrThrow(String) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameterMapOrThrow(String) - Method in interface org.tensorflow.proto.RewriterConfig.CustomGraphOptimizerOrBuilder: map<string, .tensorflow.AttrValue> parameter_map = 2;
getParameters(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
getParameters(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Parameters of this node.
getParameters(int) - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Parameters of this node.
getParametersBuilder(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
getParametersBuilderList() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
getParametersCount() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
getParametersCount() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Parameters of this node.
getParametersCount() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Parameters of this node.
getParametersList() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
getParametersList() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Parameters of this node.
getParametersList() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Parameters of this node.
getParametersOrBuilder(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
getParametersOrBuilder(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Parameters of this node.
getParametersOrBuilder(int) - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Parameters of this node.
getParametersOrBuilderList() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
getParametersOrBuilderList() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Parameters of this node.
getParametersOrBuilderList() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Parameters of this node.
getParserForType() - Method in class org.tensorflow.proto.AllocationDescription
getParserForType() - Method in class org.tensorflow.proto.AllocationRecord
getParserForType() - Method in class org.tensorflow.proto.AllocatorMemoryUsed
getParserForType() - Method in class org.tensorflow.proto.ApiDef.Arg
getParserForType() - Method in class org.tensorflow.proto.ApiDef.Attr
getParserForType() - Method in class org.tensorflow.proto.ApiDef.Endpoint
getParserForType() - Method in class org.tensorflow.proto.ApiDef
getParserForType() - Method in class org.tensorflow.proto.ApiDefs
getParserForType() - Method in class org.tensorflow.proto.AssetFileDef
getParserForType() - Method in class org.tensorflow.proto.AttrValue
getParserForType() - Method in class org.tensorflow.proto.AttrValue.ListValue
getParserForType() - Method in class org.tensorflow.proto.AutoParallelOptions
getParserForType() - Method in class org.tensorflow.proto.AvailableDeviceInfo
getParserForType() - Method in class org.tensorflow.proto.BenchmarkEntries
getParserForType() - Method in class org.tensorflow.proto.BenchmarkEntry
getParserForType() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
getParserForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
getParserForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
getParserForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
getParserForType() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
getParserForType() - Method in class org.tensorflow.proto.BuildConfiguration
getParserForType() - Method in class org.tensorflow.proto.BundleEntryProto
getParserForType() - Method in class org.tensorflow.proto.BundleHeaderProto
getParserForType() - Method in class org.tensorflow.proto.BytesList
getParserForType() - Method in class org.tensorflow.proto.CallableOptions
getParserForType() - Method in class org.tensorflow.proto.ClusterDef
getParserForType() - Method in class org.tensorflow.proto.ClusterDeviceFilters
getParserForType() - Method in class org.tensorflow.proto.CodeLocation
getParserForType() - Method in class org.tensorflow.proto.CollectionDef.AnyList
getParserForType() - Method in class org.tensorflow.proto.CollectionDef.BytesList
getParserForType() - Method in class org.tensorflow.proto.CollectionDef.FloatList
getParserForType() - Method in class org.tensorflow.proto.CollectionDef
getParserForType() - Method in class org.tensorflow.proto.CollectionDef.Int64List
getParserForType() - Method in class org.tensorflow.proto.CollectionDef.NodeList
getParserForType() - Method in class org.tensorflow.proto.CommitId
getParserForType() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
getParserForType() - Method in class org.tensorflow.proto.CondContextDef
getParserForType() - Method in class org.tensorflow.proto.ConfigProto.Experimental
getParserForType() - Method in class org.tensorflow.proto.ConfigProto
getParserForType() - Method in class org.tensorflow.proto.ControlFlowContextDef
getParserForType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
getParserForType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
getParserForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
getParserForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
getParserForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
getParserForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
getParserForType() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
getParserForType() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
getParserForType() - Method in class org.tensorflow.proto.CostGraphDef
getParserForType() - Method in class org.tensorflow.proto.CostGraphDef.Node
getParserForType() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
getParserForType() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
getParserForType() - Method in class org.tensorflow.proto.CPUInfo
getParserForType() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
getParserForType() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
getParserForType() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
getParserForType() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
getParserForType() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
getParserForType() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
getParserForType() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
getParserForType() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
getParserForType() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
getParserForType() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
getParserForType() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
getParserForType() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getParserForType() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
getParserForType() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
getParserForType() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
getParserForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
getParserForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
getParserForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
getParserForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
getParserForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
getParserForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
getParserForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
getParserForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto
getParserForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
getParserForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
getParserForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
getParserForType() - Method in class org.tensorflow.proto.DebugEvent
getParserForType() - Method in class org.tensorflow.proto.DebuggedDevice
getParserForType() - Method in class org.tensorflow.proto.DebuggedGraph
getParserForType() - Method in class org.tensorflow.proto.DebuggedSourceFile
getParserForType() - Method in class org.tensorflow.proto.DebuggedSourceFiles
getParserForType() - Method in class org.tensorflow.proto.DebugMetadata
getParserForType() - Method in class org.tensorflow.proto.DebugOptions
getParserForType() - Method in class org.tensorflow.proto.DebugTensorWatch
getParserForType() - Method in class org.tensorflow.proto.DeviceAttributes
getParserForType() - Method in class org.tensorflow.proto.DeviceLocality
getParserForType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
getParserForType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
getParserForType() - Method in class org.tensorflow.proto.DeviceStepStats
getParserForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
getParserForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
getParserForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
getParserForType() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
getParserForType() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
getParserForType() - Method in class org.tensorflow.proto.EntryValue
getParserForType() - Method in class org.tensorflow.proto.Event
getParserForType() - Method in class org.tensorflow.proto.Example
getParserForType() - Method in class org.tensorflow.proto.ExampleParserConfiguration
getParserForType() - Method in class org.tensorflow.proto.Execution
getParserForType() - Method in class org.tensorflow.proto.Feature
getParserForType() - Method in class org.tensorflow.proto.FeatureConfiguration
getParserForType() - Method in class org.tensorflow.proto.FeatureList
getParserForType() - Method in class org.tensorflow.proto.FeatureLists
getParserForType() - Method in class org.tensorflow.proto.Features
getParserForType() - Method in class org.tensorflow.proto.FingerprintDef
getParserForType() - Method in class org.tensorflow.proto.FixedLenFeatureProto
getParserForType() - Method in class org.tensorflow.proto.FloatList
getParserForType() - Method in class org.tensorflow.proto.FullTypeDef
getParserForType() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
getParserForType() - Method in class org.tensorflow.proto.FunctionDef
getParserForType() - Method in class org.tensorflow.proto.FunctionDefLibrary
getParserForType() - Method in class org.tensorflow.proto.GPUInfo
getParserForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental
getParserForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
getParserForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
getParserForType() - Method in class org.tensorflow.proto.GPUOptions
getParserForType() - Method in class org.tensorflow.proto.GradientDef
getParserForType() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
getParserForType() - Method in class org.tensorflow.proto.GraphDebugInfo
getParserForType() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
getParserForType() - Method in class org.tensorflow.proto.GraphDef
getParserForType() - Method in class org.tensorflow.proto.GraphExecutionTrace
getParserForType() - Method in class org.tensorflow.proto.GraphOpCreation
getParserForType() - Method in class org.tensorflow.proto.GraphOptions
getParserForType() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
getParserForType() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
getParserForType() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
getParserForType() - Method in class org.tensorflow.proto.GraphTransferInfo
getParserForType() - Method in class org.tensorflow.proto.GraphTransferNodeInfo
getParserForType() - Method in class org.tensorflow.proto.GraphTransferNodeInput
getParserForType() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
getParserForType() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
getParserForType() - Method in class org.tensorflow.proto.HistogramProto
getParserForType() - Method in class org.tensorflow.proto.Int64List
getParserForType() - Method in class org.tensorflow.proto.InterconnectLink
getParserForType() - Method in class org.tensorflow.proto.JobDef
getParserForType() - Method in class org.tensorflow.proto.JobDeviceFilters
getParserForType() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
getParserForType() - Method in class org.tensorflow.proto.KernelDef
getParserForType() - Method in class org.tensorflow.proto.KernelList
getParserForType() - Method in class org.tensorflow.proto.LocalLinks
getParserForType() - Method in class org.tensorflow.proto.LogMessage: Deprecated.
getParserForType() - Method in class org.tensorflow.proto.MachineConfiguration
getParserForType() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
getParserForType() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
getParserForType() - Method in class org.tensorflow.proto.MemoryInfo
getParserForType() - Method in class org.tensorflow.proto.MemoryLogRawAllocation
getParserForType() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
getParserForType() - Method in class org.tensorflow.proto.MemoryLogStep
getParserForType() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
getParserForType() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
getParserForType() - Method in class org.tensorflow.proto.MemoryLogTensorOutput
getParserForType() - Method in class org.tensorflow.proto.MemoryStats
getParserForType() - Method in class org.tensorflow.proto.MetaGraphDef
getParserForType() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
getParserForType() - Method in class org.tensorflow.proto.MetricEntry
getParserForType() - Method in class org.tensorflow.proto.NameAttrList
getParserForType() - Method in class org.tensorflow.proto.NamedTensorProto
getParserForType() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
getParserForType() - Method in class org.tensorflow.proto.NodeDef
getParserForType() - Method in class org.tensorflow.proto.NodeExecStats
getParserForType() - Method in class org.tensorflow.proto.NodeOutput
getParserForType() - Method in class org.tensorflow.proto.OpDef.ArgDef
getParserForType() - Method in class org.tensorflow.proto.OpDef.AttrDef
getParserForType() - Method in class org.tensorflow.proto.OpDef
getParserForType() - Method in class org.tensorflow.proto.OpDeprecation
getParserForType() - Method in class org.tensorflow.proto.OpList
getParserForType() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
getParserForType() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
getParserForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
getParserForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
getParserForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
getParserForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
getParserForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
getParserForType() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
getParserForType() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
getParserForType() - Method in class org.tensorflow.proto.OptimizerOptions
getParserForType() - Method in class org.tensorflow.proto.PlatformInfo
getParserForType() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
getParserForType() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
getParserForType() - Method in class org.tensorflow.proto.profiler.Xplane.XLine
getParserForType() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
getParserForType() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
getParserForType() - Method in class org.tensorflow.proto.profiler.Xplane.XStat
getParserForType() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
getParserForType() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
getParserForType() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
getParserForType() - Method in class org.tensorflow.proto.QueueRunnerDef
getParserForType() - Method in class org.tensorflow.proto.ReaderBaseState
getParserForType() - Method in class org.tensorflow.proto.RegisteredGradient
getParserForType() - Method in class org.tensorflow.proto.RequestedExitCode
getParserForType() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
getParserForType() - Method in class org.tensorflow.proto.ResourceHandleProto
getParserForType() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
getParserForType() - Method in class org.tensorflow.proto.RewriterConfig
getParserForType() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
getParserForType() - Method in class org.tensorflow.proto.RunConfiguration
getParserForType() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
getParserForType() - Method in class org.tensorflow.proto.RunMetadata
getParserForType() - Method in class org.tensorflow.proto.RunOptions.Experimental
getParserForType() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
getParserForType() - Method in class org.tensorflow.proto.RunOptions
getParserForType() - Method in class org.tensorflow.proto.SavedModel
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
getParserForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
getParserForType() - Method in class org.tensorflow.proto.SavedSlice
getParserForType() - Method in class org.tensorflow.proto.SavedSliceMeta
getParserForType() - Method in class org.tensorflow.proto.SavedTensorSliceMeta
getParserForType() - Method in class org.tensorflow.proto.SavedTensorSlices
getParserForType() - Method in class org.tensorflow.proto.SaverDef
getParserForType() - Method in class org.tensorflow.proto.SaveSliceInfoDef
getParserForType() - Method in class org.tensorflow.proto.ScopedAllocatorOptions
getParserForType() - Method in class org.tensorflow.proto.SequenceExample
getParserForType() - Method in class org.tensorflow.proto.SerializedDType
getParserForType() - Method in class org.tensorflow.proto.ServerDef
getParserForType() - Method in class org.tensorflow.proto.SessionLog
getParserForType() - Method in class org.tensorflow.proto.SessionMetadata
getParserForType() - Method in class org.tensorflow.proto.SignatureDef
getParserForType() - Method in class org.tensorflow.proto.SourceFile
getParserForType() - Method in class org.tensorflow.proto.SourceMetadata
getParserForType() - Method in class org.tensorflow.proto.StackFrameWithId
getParserForType() - Method in class org.tensorflow.proto.StatusProto
getParserForType() - Method in class org.tensorflow.proto.StepStats
getParserForType() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
getParserForType() - Method in class org.tensorflow.proto.Struct.DictValue
getParserForType() - Method in class org.tensorflow.proto.Struct.ListValue
getParserForType() - Method in class org.tensorflow.proto.Struct.NamedTupleValue
getParserForType() - Method in class org.tensorflow.proto.Struct.NoneValue
getParserForType() - Method in class org.tensorflow.proto.Struct.PairValue
getParserForType() - Method in class org.tensorflow.proto.Struct.StructuredValue
getParserForType() - Method in class org.tensorflow.proto.Struct.TensorSpecProto
getParserForType() - Method in class org.tensorflow.proto.Struct.TupleValue
getParserForType() - Method in class org.tensorflow.proto.Struct.TypeSpecProto
getParserForType() - Method in class org.tensorflow.proto.Summary.Audio
getParserForType() - Method in class org.tensorflow.proto.Summary
getParserForType() - Method in class org.tensorflow.proto.Summary.Image
getParserForType() - Method in class org.tensorflow.proto.Summary.Value
getParserForType() - Method in class org.tensorflow.proto.SummaryDescription
getParserForType() - Method in class org.tensorflow.proto.SummaryMetadata
getParserForType() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
getParserForType() - Method in class org.tensorflow.proto.TaggedRunMetadata
getParserForType() - Method in class org.tensorflow.proto.TaskDeviceFilters
getParserForType() - Method in class org.tensorflow.proto.TensorConnection
getParserForType() - Method in class org.tensorflow.proto.TensorDescription
getParserForType() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
getParserForType() - Method in class org.tensorflow.proto.TensorInfo.CooSparse
getParserForType() - Method in class org.tensorflow.proto.TensorInfo
getParserForType() - Method in class org.tensorflow.proto.TensorProto
getParserForType() - Method in class org.tensorflow.proto.TensorShapeProto.Dim
getParserForType() - Method in class org.tensorflow.proto.TensorShapeProto
getParserForType() - Method in class org.tensorflow.proto.TensorSliceProto.Extent
getParserForType() - Method in class org.tensorflow.proto.TensorSliceProto
getParserForType() - Method in class org.tensorflow.proto.TestResults
getParserForType() - Method in class org.tensorflow.proto.ThreadPoolOptionProto
getParserForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
getParserForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
getParserForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
getParserForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
getParserForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
getParserForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
getParserForType() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
getParserForType() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
getParserForType() - Method in class org.tensorflow.proto.ValuesDef
getParserForType() - Method in class org.tensorflow.proto.VariableDef
getParserForType() - Method in class org.tensorflow.proto.VariantTensorDataProto
getParserForType() - Method in class org.tensorflow.proto.VarLenFeatureProto
getParserForType() - Method in class org.tensorflow.proto.VerifierConfig
getParserForType() - Method in class org.tensorflow.proto.VersionDef
getParserForType() - Method in class org.tensorflow.proto.WatchdogConfig
getParserForType() - Method in class org.tensorflow.proto.WhileContextDef
getParserForType() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
getParserForType() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
getPartitionGraphs(int) - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphs(int) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphs(int) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphs(int) - Method in interface org.tensorflow.proto.RunMetadata.FunctionGraphsOrBuilder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphs(int) - Method in class org.tensorflow.proto.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphs(int) - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPartitionGraphsBuilder(int) - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsBuilder(int) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsBuilderList() - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsBuilderList() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsCount() - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsCount() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsCount() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsCount() - Method in interface org.tensorflow.proto.RunMetadata.FunctionGraphsOrBuilder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsCount() - Method in class org.tensorflow.proto.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphsCount() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPartitionGraphsList() - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsList() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsList() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsList() - Method in interface org.tensorflow.proto.RunMetadata.FunctionGraphsOrBuilder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsList() - Method in class org.tensorflow.proto.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphsList() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilder(int) - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilder(int) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsOrBuilder(int) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsOrBuilder(int) - Method in interface org.tensorflow.proto.RunMetadata.FunctionGraphsOrBuilder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsOrBuilder(int) - Method in class org.tensorflow.proto.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilder(int) - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilderList() - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilderList() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsOrBuilderList() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsOrBuilderList() - Method in interface org.tensorflow.proto.RunMetadata.FunctionGraphsOrBuilder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
getPartitionGraphsOrBuilderList() - Method in class org.tensorflow.proto.RunMetadata: Graphs of the partitions executed by executors.
getPartitionGraphsOrBuilderList() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: Graphs of the partitions executed by executors.
getPayloads() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder: Deprecated.
getPayloads() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer: Deprecated.
getPayloads() - Method in interface org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainerOrBuilder: Deprecated.
getPayloadsCount() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
getPayloadsCount() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
getPayloadsCount() - Method in interface org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainerOrBuilder: map<string, bytes> payloads = 1;
getPayloadsMap() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder: map<string, bytes> payloads = 1;
getPayloadsMap() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer: map<string, bytes> payloads = 1;
getPayloadsMap() - Method in interface org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainerOrBuilder: map<string, bytes> payloads = 1;
getPayloadsOrDefault(String, ByteString) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder: map<string, bytes> payloads = 1;
getPayloadsOrDefault(String, ByteString) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer: map<string, bytes> payloads = 1;
getPayloadsOrDefault(String, ByteString) - Method in interface org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainerOrBuilder: map<string, bytes> payloads = 1;
getPayloadsOrThrow(String) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder: map<string, bytes> payloads = 1;
getPayloadsOrThrow(String) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer: map<string, bytes> payloads = 1;
getPayloadsOrThrow(String) - Method in interface org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainerOrBuilder: map<string, bytes> payloads = 1;
getPeakBytes() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: int64 peak_bytes = 3;
getPeakBytes() - Method in class org.tensorflow.proto.AllocatorMemoryUsed: int64 peak_bytes = 3;
getPeakBytes() - Method in interface org.tensorflow.proto.AllocatorMemoryUsedOrBuilder: int64 peak_bytes = 3;
getPeakBytesInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: int64 peak_bytes_in_use = 3;
getPeakBytesInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats: int64 peak_bytes_in_use = 3;
getPeakBytesInUse() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemAllocatorStatsOrBuilder: int64 peak_bytes_in_use = 3;
getPendingChangelist() - Method in class org.tensorflow.proto.CommitId.Builder: Changelist tested if the change list is not already submitted.
getPendingChangelist() - Method in class org.tensorflow.proto.CommitId: Changelist tested if the change list is not already submitted.
getPendingChangelist() - Method in interface org.tensorflow.proto.CommitIdOrBuilder: Changelist tested if the change list is not already submitted.
getPerProcessGpuMemoryFraction() - Method in class org.tensorflow.proto.GPUOptions.Builder: Fraction of the total GPU memory to allocate for each process. 1 means to allocate all of the GPU memory, 0.5 means the process allocates up to ~50% of the total GPU memory.
getPerProcessGpuMemoryFraction() - Method in class org.tensorflow.proto.GPUOptions: Fraction of the total GPU memory to allocate for each process. 1 means to allocate all of the GPU memory, 0.5 means the process allocates up to ~50% of the total GPU memory.
getPerProcessGpuMemoryFraction() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: Fraction of the total GPU memory to allocate for each process. 1 means to allocate all of the GPU memory, 0.5 means the process allocates up to ~50% of the total GPU memory.
getPersistentMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: int64 persistent_memory = 4;
getPersistentMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory: int64 persistent_memory = 4;
getPersistentMemory() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemoryOrBuilder: int64 persistent_memory = 4;
getPersistentMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Persistent memory used by this node.
getPersistentMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node: Persistent memory used by this node.
getPersistentMemorySize() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: Persistent memory used by this node.
getPersistentMemorySize() - Method in class org.tensorflow.proto.MemoryStats.Builder: int64 persistent_memory_size = 3;
getPersistentMemorySize() - Method in class org.tensorflow.proto.MemoryStats: int64 persistent_memory_size = 3;
getPersistentMemorySize() - Method in interface org.tensorflow.proto.MemoryStatsOrBuilder: int64 persistent_memory_size = 3;
getPersistentTensorAllocIds(int) - Method in class org.tensorflow.proto.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIds(int) - Method in class org.tensorflow.proto.MemoryStats: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIds(int) - Method in interface org.tensorflow.proto.MemoryStatsOrBuilder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsCount() - Method in class org.tensorflow.proto.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsCount() - Method in class org.tensorflow.proto.MemoryStats: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsCount() - Method in interface org.tensorflow.proto.MemoryStatsOrBuilder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsList() - Method in class org.tensorflow.proto.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsList() - Method in class org.tensorflow.proto.MemoryStats: repeated int64 persistent_tensor_alloc_ids = 5;
getPersistentTensorAllocIdsList() - Method in interface org.tensorflow.proto.MemoryStatsOrBuilder: repeated int64 persistent_tensor_alloc_ids = 5;
getPhysicalDescription() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: The physical description of this device.
getPhysicalDescription() - Method in class org.tensorflow.proto.AvailableDeviceInfo: The physical description of this device.
getPhysicalDescription() - Method in interface org.tensorflow.proto.AvailableDeviceInfoOrBuilder: The physical description of this device.
getPhysicalDescriptionBytes() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: The physical description of this device.
getPhysicalDescriptionBytes() - Method in class org.tensorflow.proto.AvailableDeviceInfo: The physical description of this device.
getPhysicalDescriptionBytes() - Method in interface org.tensorflow.proto.AvailableDeviceInfoOrBuilder: The physical description of this device.
getPhysicalDeviceDesc() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
getPhysicalDeviceDesc() - Method in class org.tensorflow.proto.DeviceAttributes: String representation of the physical device that this device maps to.
getPhysicalDeviceDesc() - Method in interface org.tensorflow.proto.DeviceAttributesOrBuilder: String representation of the physical device that this device maps to.
getPhysicalDeviceDescBytes() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
getPhysicalDeviceDescBytes() - Method in class org.tensorflow.proto.DeviceAttributes: String representation of the physical device that this device maps to.
getPhysicalDeviceDescBytes() - Method in interface org.tensorflow.proto.DeviceAttributesOrBuilder: String representation of the physical device that this device maps to.
getPinned() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder: bool pinned = 1;
getPinned() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions: bool pinned = 1;
getPinned() - Method in interface org.tensorflow.proto.data.DatasetOptions.ServiceOptionsOrBuilder: bool pinned = 1;
getPinToHostOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Force small ops onto the CPU (default is OFF).
getPinToHostOptimization() - Method in class org.tensorflow.proto.RewriterConfig: Force small ops onto the CPU (default is OFF).
getPinToHostOptimization() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Force small ops onto the CPU (default is OFF).
getPinToHostOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Force small ops onto the CPU (default is OFF).
getPinToHostOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig: Force small ops onto the CPU (default is OFF).
getPinToHostOptimizationValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Force small ops onto the CPU (default is OFF).
getPivotForBodyName() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot_for_body tensor.
getPivotForBodyName() - Method in class org.tensorflow.proto.WhileContextDef: Name of the pivot_for_body tensor.
getPivotForBodyName() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Name of the pivot_for_body tensor.
getPivotForBodyNameBytes() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot_for_body tensor.
getPivotForBodyNameBytes() - Method in class org.tensorflow.proto.WhileContextDef: Name of the pivot_for_body tensor.
getPivotForBodyNameBytes() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Name of the pivot_for_body tensor.
getPivotForPredName() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
getPivotForPredName() - Method in class org.tensorflow.proto.WhileContextDef: Name of the pivot_for_pred tensor.
getPivotForPredName() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Name of the pivot_for_pred tensor.
getPivotForPredNameBytes() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
getPivotForPredNameBytes() - Method in class org.tensorflow.proto.WhileContextDef: Name of the pivot_for_pred tensor.
getPivotForPredNameBytes() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Name of the pivot_for_pred tensor.
getPivotName() - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the pivot tensor.
getPivotName() - Method in class org.tensorflow.proto.CondContextDef: Name of the pivot tensor.
getPivotName() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Name of the pivot tensor.
getPivotName() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot tensor.
getPivotName() - Method in class org.tensorflow.proto.WhileContextDef: Name of the pivot tensor.
getPivotName() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Name of the pivot tensor.
getPivotNameBytes() - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the pivot tensor.
getPivotNameBytes() - Method in class org.tensorflow.proto.CondContextDef: Name of the pivot tensor.
getPivotNameBytes() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Name of the pivot tensor.
getPivotNameBytes() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot tensor.
getPivotNameBytes() - Method in class org.tensorflow.proto.WhileContextDef: Name of the pivot tensor.
getPivotNameBytes() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Name of the pivot tensor.
getPlaceholder() - Method in class org.tensorflow.proto.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
getPlaceholder() - Method in class org.tensorflow.proto.AttrValue: This is a placeholder only used in nodes defined inside a function.
getPlaceholder() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: This is a placeholder only used in nodes defined inside a function.
getPlaceholderBytes() - Method in class org.tensorflow.proto.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
getPlaceholderBytes() - Method in class org.tensorflow.proto.AttrValue: This is a placeholder only used in nodes defined inside a function.
getPlaceholderBytes() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: This is a placeholder only used in nodes defined inside a function.
getPlacementPeriod() - Method in class org.tensorflow.proto.ConfigProto.Builder: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
getPlacementPeriod() - Method in class org.tensorflow.proto.ConfigProto: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
getPlacementPeriod() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
getPlacePrunedGraph() - Method in class org.tensorflow.proto.GraphOptions.Builder: Only place the subgraphs that are run, rather than the entire graph.
getPlacePrunedGraph() - Method in class org.tensorflow.proto.GraphOptions: Only place the subgraphs that are run, rather than the entire graph.
getPlacePrunedGraph() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: Only place the subgraphs that are run, rather than the entire graph.
getPlanes(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanes(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanes(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesCount() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesCount() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesCount() - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesList() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesList() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesList() - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesOrBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesOrBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesOrBuilder(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesOrBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesOrBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: repeated .tensorflow.profiler.XPlane planes = 1;
getPlanesOrBuilderList() - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: repeated .tensorflow.profiler.XPlane planes = 1;
getPlatformInfo() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Additional platform information.
getPlatformInfo() - Method in class org.tensorflow.proto.MachineConfiguration: Additional platform information.
getPlatformInfo() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Additional platform information.
getPlatformInfoBuilder() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Additional platform information.
getPlatformInfoOrBuilder() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Additional platform information.
getPlatformInfoOrBuilder() - Method in class org.tensorflow.proto.MachineConfiguration: Additional platform information.
getPlatformInfoOrBuilder() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Additional platform information.
getPluggableDeviceOptions() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to pluggable devices.
getPluggableDeviceOptions() - Method in class org.tensorflow.proto.ConfigProto: Options that apply to pluggable devices.
getPluggableDeviceOptions() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Options that apply to pluggable devices.
getPluggableDeviceOptionsBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to pluggable devices.
getPluggableDeviceOptionsOrBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to pluggable devices.
getPluggableDeviceOptionsOrBuilder() - Method in class org.tensorflow.proto.ConfigProto: Options that apply to pluggable devices.
getPluggableDeviceOptionsOrBuilder() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Options that apply to pluggable devices.
getPluginData() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
getPluginData() - Method in class org.tensorflow.proto.SummaryMetadata: Data that associates a summary with a certain plugin.
getPluginData() - Method in interface org.tensorflow.proto.SummaryMetadataOrBuilder: Data that associates a summary with a certain plugin.
getPluginDataBuilder() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
getPluginDataOrBuilder() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
getPluginDataOrBuilder() - Method in class org.tensorflow.proto.SummaryMetadata: Data that associates a summary with a certain plugin.
getPluginDataOrBuilder() - Method in interface org.tensorflow.proto.SummaryMetadataOrBuilder: Data that associates a summary with a certain plugin.
getPluginName() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
getPluginName() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData: The name of the plugin this data pertains to.
getPluginName() - Method in interface org.tensorflow.proto.SummaryMetadata.PluginDataOrBuilder: The name of the plugin this data pertains to.
getPluginNameBytes() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
getPluginNameBytes() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData: The name of the plugin this data pertains to.
getPluginNameBytes() - Method in interface org.tensorflow.proto.SummaryMetadata.PluginDataOrBuilder: The name of the plugin this data pertains to.
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_AllocatorAttributes
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_Buffer
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_Input
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_Output
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_ShapeAndType
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_ShapeAndTypeList
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_StringView
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Large
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Raw
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Small
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Union
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString_View
getPointer(long) - Method in class org.tensorflow.internal.c_api.TF_TString
getPointer(long) - Method in class org.tensorflow.internal.c_api.TFE_CancelCallback
getPointer(long) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
getPointer(long) - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle
getPollForErrorFromServiceAtStartup() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Use long polling to get error from coordination service as the error propagation mechanism.
getPollForErrorFromServiceAtStartup() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: Use long polling to get error from coordination service as the error propagation mechanism.
getPollForErrorFromServiceAtStartup() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: Use long polling to get error from coordination service as the error propagation mechanism.
getPollingActiveDelayUsecs() - Method in class org.tensorflow.proto.GPUOptions.Builder: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
getPollingActiveDelayUsecs() - Method in class org.tensorflow.proto.GPUOptions: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
getPollingActiveDelayUsecs() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
getPollingInactiveDelayMsecs() - Method in class org.tensorflow.proto.GPUOptions.Builder: This field is deprecated and ignored.
getPollingInactiveDelayMsecs() - Method in class org.tensorflow.proto.GPUOptions: This field is deprecated and ignored.
getPollingInactiveDelayMsecs() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: This field is deprecated and ignored.
getPopulatePjrtGpuClientCreationInfo() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If true, save information needed for created a PjRt GPU client for creating a client with remote devices.
getPopulatePjrtGpuClientCreationInfo() - Method in class org.tensorflow.proto.GPUOptions.Experimental: If true, save information needed for created a PjRt GPU client for creating a client with remote devices.
getPopulatePjrtGpuClientCreationInfo() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: If true, save information needed for created a PjRt GPU client for creating a client with remote devices.
getPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The port for the dispatcher to bind to.
getPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: The port for the dispatcher to bind to.
getPort() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: The port for the dispatcher to bind to.
getPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The port for the worker to bind to.
getPort() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The port for the worker to bind to.
getPort() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The port for the worker to bind to.
getPort() - Method in class org.tensorflow.proto.ServerDef.Builder: The server port.
getPort() - Method in class org.tensorflow.proto.ServerDef: The server port.
getPort() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: The server port.
getPostOptimizationGraph() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationGraph() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationGraph() - Method in interface org.tensorflow.proto.RunMetadata.FunctionGraphsOrBuilder: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationGraphBuilder() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationGraphOrBuilder() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationGraphOrBuilder() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationGraphOrBuilder() - Method in interface org.tensorflow.proto.RunMetadata.FunctionGraphsOrBuilder: .tensorflow.GraphDef post_optimization_graph = 3;
getPostOptimizationVerifierConfig() - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPostOptimizationVerifierConfig() - Method in class org.tensorflow.proto.RewriterConfig: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPostOptimizationVerifierConfig() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPostOptimizationVerifierConfigBuilder() - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPostOptimizationVerifierConfigOrBuilder() - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPostOptimizationVerifierConfigOrBuilder() - Method in class org.tensorflow.proto.RewriterConfig: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPostOptimizationVerifierConfigOrBuilder() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
getPrecedingNode() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder: int32 preceding_node = 1;
getPrecedingNode() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo: int32 preceding_node = 1;
getPrecedingNode() - Method in interface org.tensorflow.proto.CostGraphDef.Node.InputInfoOrBuilder: int32 preceding_node = 1;
getPrecedingPort() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder: int32 preceding_port = 2;
getPrecedingPort() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo: int32 preceding_port = 2;
getPrecedingPort() - Method in interface org.tensorflow.proto.CostGraphDef.Node.InputInfoOrBuilder: int32 preceding_port = 2;
getPrecision() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the precision
getPredName() - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the pred tensor.
getPredName() - Method in class org.tensorflow.proto.CondContextDef: Name of the pred tensor.
getPredName() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Name of the pred tensor.
getPredNameBytes() - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the pred tensor.
getPredNameBytes() - Method in class org.tensorflow.proto.CondContextDef: Name of the pred tensor.
getPredNameBytes() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Name of the pred tensor.
getPreOptimizationGraph() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
getPreOptimizationGraph() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs: .tensorflow.GraphDef pre_optimization_graph = 2;
getPreOptimizationGraph() - Method in interface org.tensorflow.proto.RunMetadata.FunctionGraphsOrBuilder: .tensorflow.GraphDef pre_optimization_graph = 2;
getPreOptimizationGraphBuilder() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
getPreOptimizationGraphOrBuilder() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
getPreOptimizationGraphOrBuilder() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs: .tensorflow.GraphDef pre_optimization_graph = 2;
getPreOptimizationGraphOrBuilder() - Method in interface org.tensorflow.proto.RunMetadata.FunctionGraphsOrBuilder: .tensorflow.GraphDef pre_optimization_graph = 2;
getPriority() - Method in class org.tensorflow.proto.KernelDef.Builder: Prioritization of kernel amongst different devices.
getPriority() - Method in class org.tensorflow.proto.KernelDef: Prioritization of kernel amongst different devices.
getPriority() - Method in interface org.tensorflow.proto.KernelDefOrBuilder: Prioritization of kernel amongst different devices.
getPriority() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder: Priority of the request.
getPriority() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions: Priority of the request.
getPriority() - Method in interface org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder: Priority of the request.
getPriority(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
getPriority(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices: Priority values to use with the virtual devices.
getPriority(int) - Method in interface org.tensorflow.proto.GPUOptions.Experimental.VirtualDevicesOrBuilder: Priority values to use with the virtual devices.
getPriorityCount() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
getPriorityCount() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices: Priority values to use with the virtual devices.
getPriorityCount() - Method in interface org.tensorflow.proto.GPUOptions.Experimental.VirtualDevicesOrBuilder: Priority values to use with the virtual devices.
getPriorityList() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
getPriorityList() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices: Priority values to use with the virtual devices.
getPriorityList() - Method in interface org.tensorflow.proto.GPUOptions.Experimental.VirtualDevicesOrBuilder: Priority values to use with the virtual devices.
getPrivateThreadpoolSize() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder: int32 private_threadpool_size = 2;
getPrivateThreadpoolSize() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions: int32 private_threadpool_size = 2;
getPrivateThreadpoolSize() - Method in interface org.tensorflow.proto.data.DatasetOptions.ThreadingOptionsOrBuilder: int32 private_threadpool_size = 2;
getProcessingTime() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The aggregate processing time spent in this node in nanoseconds.
getProcessingTime() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: The aggregate processing time spent in this node in nanoseconds.
getProcessingTime() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: The aggregate processing time spent in this node in nanoseconds.
getProducer() - Method in class org.tensorflow.proto.VersionDef.Builder: The version of the code that produced this data.
getProducer() - Method in class org.tensorflow.proto.VersionDef: The version of the code that produced this data.
getProducer() - Method in interface org.tensorflow.proto.VersionDefOrBuilder: The version of the code that produced this data.
getProfilerOptions() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
getProfilerOptions() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions: Options for each local profiler.
getProfilerOptions() - Method in interface org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptionsOrBuilder: Options for each local profiler.
getProfilerOptionsBuilder() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
getProfilerOptionsOrBuilder() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
getProfilerOptionsOrBuilder() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions: Options for each local profiler.
getProfilerOptionsOrBuilder() - Method in interface org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptionsOrBuilder: Options for each local profiler.
getProperties() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
getProperties() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice: .tensorflow.DeviceProperties properties = 2;
getProperties() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.NamedDeviceOrBuilder: .tensorflow.DeviceProperties properties = 2;
getPropertiesBuilder() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
getPropertiesOrBuilder() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
getPropertiesOrBuilder() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice: .tensorflow.DeviceProperties properties = 2;
getPropertiesOrBuilder() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.NamedDeviceOrBuilder: .tensorflow.DeviceProperties properties = 2;
getProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The protocol for the dispatcher to use when connecting to workers.
getProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: The protocol for the dispatcher to use when connecting to workers.
getProtocol() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: The protocol for the dispatcher to use when connecting to workers.
getProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when connecting to the dispatcher.
getProtocol() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The protocol for the worker to use when connecting to the dispatcher.
getProtocol() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The protocol for the worker to use when connecting to the dispatcher.
getProtocol() - Method in class org.tensorflow.proto.ServerDef.Builder: The protocol to be used by this server.
getProtocol() - Method in class org.tensorflow.proto.ServerDef: The protocol to be used by this server.
getProtocol() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: The protocol to be used by this server.
getProtocolBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The protocol for the dispatcher to use when connecting to workers.
getProtocolBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: The protocol for the dispatcher to use when connecting to workers.
getProtocolBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: The protocol for the dispatcher to use when connecting to workers.
getProtocolBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when connecting to the dispatcher.
getProtocolBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The protocol for the worker to use when connecting to the dispatcher.
getProtocolBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The protocol for the worker to use when connecting to the dispatcher.
getProtocolBytes() - Method in class org.tensorflow.proto.ServerDef.Builder: The protocol to be used by this server.
getProtocolBytes() - Method in class org.tensorflow.proto.ServerDef: The protocol to be used by this server.
getProtocolBytes() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: The protocol to be used by this server.
getPtr() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Address of the allocation.
getPtr() - Method in class org.tensorflow.proto.AllocationDescription: Address of the allocation.
getPtr() - Method in interface org.tensorflow.proto.AllocationDescriptionOrBuilder: Address of the allocation.
getPtr() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Address of the allocation.
getPtr() - Method in class org.tensorflow.proto.MemoryLogRawAllocation: Address of the allocation.
getPtr() - Method in interface org.tensorflow.proto.MemoryLogRawAllocationOrBuilder: Address of the allocation.
getPythonTracerLevel() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Whether enable python function calls tracing.
getPythonTracerLevel() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions: Whether enable python function calls tracing.
getPythonTracerLevel() - Method in interface org.tensorflow.proto.ProfilerOptions.ProfileOptionsOrBuilder: Whether enable python function calls tracing.
getQueueClosedExceptionTypes(int) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypes(int) - Method in class org.tensorflow.proto.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypes(int) - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesCount() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesCount() - Method in class org.tensorflow.proto.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesCount() - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesList() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesList() - Method in class org.tensorflow.proto.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesList() - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.proto.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValue(int) - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValueList() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValueList() - Method in class org.tensorflow.proto.QueueRunnerDef: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueClosedExceptionTypesValueList() - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
getQueueName() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: Queue name.
getQueueName() - Method in class org.tensorflow.proto.QueueRunnerDef: Queue name.
getQueueName() - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: Queue name.
getQueueNameBytes() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: Queue name.
getQueueNameBytes() - Method in class org.tensorflow.proto.QueueRunnerDef: Queue name.
getQueueNameBytes() - Method in interface org.tensorflow.proto.QueueRunnerDefOrBuilder: Queue name.
getRamBudget() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: int64 ram_budget = 3;
getRamBudget() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions: int64 ram_budget = 3;
getRamBudget() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder: int64 ram_budget = 3;
getRamBudget() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Amount of available memory in bytes.
getRamBudget() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams: Amount of available memory in bytes.
getRamBudget() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParamsOrBuilder: Amount of available memory in bytes.
getRate() - Method in class org.tensorflow.framework.constraints.MinMaxNorm: Gets the rate
getRatio() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Ratio of input to output elements.
getRatio() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: Ratio of input to output elements.
getRatio() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: Ratio of input to output elements.
getRecall() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the recall value
getRecordMetrics() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: An indication whether this node records metrics about produced and consumed elements.
getRecordMetrics() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node: An indication whether this node records metrics about produced and consumed elements.
getRecordMetrics() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.NodeOrBuilder: An indication whether this node records metrics about produced and consumed elements.
getRecoverableJobs(int) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: The list of jobs which are recoverable.
getRecoverableJobs(int) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: The list of jobs which are recoverable.
getRecoverableJobs(int) - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: The list of jobs which are recoverable.
getRecoverableJobsBytes(int) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: The list of jobs which are recoverable.
getRecoverableJobsBytes(int) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: The list of jobs which are recoverable.
getRecoverableJobsBytes(int) - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: The list of jobs which are recoverable.
getRecoverableJobsCount() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: The list of jobs which are recoverable.
getRecoverableJobsCount() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: The list of jobs which are recoverable.
getRecoverableJobsCount() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: The list of jobs which are recoverable.
getRecoverableJobsList() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: The list of jobs which are recoverable.
getRecoverableJobsList() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: The list of jobs which are recoverable.
getRecoverableJobsList() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: The list of jobs which are recoverable.
getRecvBufMaxChunk() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Guidance to formatting of large RecvBuf fields for transfer.
getRecvBufMaxChunk() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Guidance to formatting of large RecvBuf fields for transfer.
getRecvBufMaxChunk() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Guidance to formatting of large RecvBuf fields for transfer.
getReduction() - Method in class org.tensorflow.framework.losses.BinaryCrossentropy: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.CategoricalCrossentropy: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.CategoricalHinge: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.CosineSimilarity: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.Hinge: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.Huber: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.KLDivergence: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.LogCosh: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.MeanAbsoluteError: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.MeanAbsolutePercentageError: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.MeanSquaredError: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.MeanSquaredLogarithmicError: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.Poisson: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.SparseCategoricalCrossentropy: Gets the loss reduction
getReduction() - Method in class org.tensorflow.framework.losses.SquaredHinge: Gets the loss reduction
getReferencedTensor(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensor(int) - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensor(int) - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorBuilder(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorBuilderList() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorCount() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorCount() - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorCount() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorList() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorList() - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorList() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilder(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilder(int) - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilder(int) - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilderList() - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilderList() - Method in class org.tensorflow.proto.NodeExecStats: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getReferencedTensorOrBuilderList() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
getRefValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: A string value that stored in XStatMetadata::name.
getRefValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: A string value that stored in XStatMetadata::name.
getRefValue() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: A string value that stored in XStatMetadata::name.
getRegisteredGradients(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradients(int) - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradients(int) - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsBuilder(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsBuilderList() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsCount() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsCount() - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsCount() - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsList() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsList() - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsList() - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsOrBuilder(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsOrBuilder(int) - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsOrBuilder(int) - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsOrBuilderList() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsOrBuilderList() - Method in class org.tensorflow.proto.FunctionDefLibrary: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredGradientsOrBuilderList() - Method in interface org.tensorflow.proto.FunctionDefLibraryOrBuilder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
getRegisteredName() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The name of the registered class of the form "{package}.
getRegisteredName() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: The name of the registered class of the form "{package}.
getRegisteredName() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: The name of the registered class of the form "{package}.
getRegisteredNameBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The name of the registered class of the form "{package}.
getRegisteredNameBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: The name of the registered class of the form "{package}.
getRegisteredNameBytes() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: The name of the registered class of the form "{package}.
getRegisteredOpType() - Method in class org.tensorflow.proto.RegisteredGradient.Builder: The gradient function's registered op type.
getRegisteredOpType() - Method in class org.tensorflow.proto.RegisteredGradient: The gradient function's registered op type.
getRegisteredOpType() - Method in interface org.tensorflow.proto.RegisteredGradientOrBuilder: The gradient function's registered op type.
getRegisteredOpTypeBytes() - Method in class org.tensorflow.proto.RegisteredGradient.Builder: The gradient function's registered op type.
getRegisteredOpTypeBytes() - Method in class org.tensorflow.proto.RegisteredGradient: The gradient function's registered op type.
getRegisteredOpTypeBytes() - Method in interface org.tensorflow.proto.RegisteredGradientOrBuilder: The gradient function's registered op type.
getRegisteredSaver() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: String name of the registered saver.
getRegisteredSaver() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: String name of the registered saver.
getRegisteredSaver() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: String name of the registered saver.
getRegisteredSaver() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: The registered saver used to save this object.
getRegisteredSaver() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: The registered saver used to save this object.
getRegisteredSaver() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: The registered saver used to save this object.
getRegisteredSaverBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: The registered saver used to save this object.
getRegisteredSaverBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: String name of the registered saver.
getRegisteredSaverBytes() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: String name of the registered saver.
getRegisteredSaverBytes() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: String name of the registered saver.
getRegisteredSaverOrBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: The registered saver used to save this object.
getRegisteredSaverOrBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: The registered saver used to save this object.
getRegisteredSaverOrBuilder() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: The registered saver used to save this object.
getRelease() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '3.13.0-76-generic'
getRelease() - Method in class org.tensorflow.proto.PlatformInfo: e.g. '3.13.0-76-generic'
getRelease() - Method in interface org.tensorflow.proto.PlatformInfoOrBuilder: e.g. '3.13.0-76-generic'
getReleaseBytes() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '3.13.0-76-generic'
getReleaseBytes() - Method in class org.tensorflow.proto.PlatformInfo: e.g. '3.13.0-76-generic'
getReleaseBytes() - Method in interface org.tensorflow.proto.PlatformInfoOrBuilder: e.g. '3.13.0-76-generic'
getRemapping() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemapping() - Method in class org.tensorflow.proto.RewriterConfig: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemapping() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemappingValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemappingValue() - Method in class org.tensorflow.proto.RewriterConfig: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRemappingValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
getRenameTo() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameTo() - Method in class org.tensorflow.proto.ApiDef.Arg: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameTo() - Method in interface org.tensorflow.proto.ApiDef.ArgOrBuilder: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameTo() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameTo() - Method in class org.tensorflow.proto.ApiDef.Attr: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameTo() - Method in interface org.tensorflow.proto.ApiDef.AttrOrBuilder: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameToBytes() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameToBytes() - Method in class org.tensorflow.proto.ApiDef.Arg: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameToBytes() - Method in interface org.tensorflow.proto.ApiDef.ArgOrBuilder: Change the name used to access this arg in the API from what is used in the GraphDef.
getRenameToBytes() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameToBytes() - Method in class org.tensorflow.proto.ApiDef.Attr: Change the name used to access this attr in the API from what is used in the GraphDef.
getRenameToBytes() - Method in interface org.tensorflow.proto.ApiDef.AttrOrBuilder: Change the name used to access this attr in the API from what is used in the GraphDef.
getReplica() - Method in class org.tensorflow.proto.ServerDef.Builder: Replica this server manages.
getReplica() - Method in class org.tensorflow.proto.ServerDef: Replica this server manages.
getReplica() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: Replica this server manages.
getReportTensorAllocationsUponOom() - Method in class org.tensorflow.proto.RunOptions.Builder: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
getReportTensorAllocationsUponOom() - Method in class org.tensorflow.proto.RunOptions: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
getReportTensorAllocationsUponOom() - Method in interface org.tensorflow.proto.RunOptionsOrBuilder: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
getRepositoryPath() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Directory to save profile data to.
getRepositoryPath() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions: Directory to save profile data to.
getRepositoryPath() - Method in interface org.tensorflow.proto.ProfilerOptions.ProfileOptionsOrBuilder: Directory to save profile data to.
getRepositoryPathBytes() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Directory to save profile data to.
getRepositoryPathBytes() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions: Directory to save profile data to.
getRepositoryPathBytes() - Method in interface org.tensorflow.proto.ProfilerOptions.ProfileOptionsOrBuilder: Directory to save profile data to.
getRequestedBytes() - Method in class org.tensorflow.proto.AllocationDescription.Builder: Total number of bytes requested
getRequestedBytes() - Method in class org.tensorflow.proto.AllocationDescription: Total number of bytes requested
getRequestedBytes() - Method in interface org.tensorflow.proto.AllocationDescriptionOrBuilder: Total number of bytes requested
getRequestedSize() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: int64 requested_size = 3;
getRequestedSize() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk: int64 requested_size = 3;
getRequestedSize() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemChunkOrBuilder: int64 requested_size = 3;
getResetDiskByteUsage() - Method in class org.tensorflow.proto.DebugOptions.Builder: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
getResetDiskByteUsage() - Method in class org.tensorflow.proto.DebugOptions: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
getResetDiskByteUsage() - Method in interface org.tensorflow.proto.DebugOptionsOrBuilder: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
getResource() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
getResource() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedResource resource = 10;
getResource() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedResource resource = 10;
getResourceArgUniqueId() - Method in class org.tensorflow.proto.FunctionDef.Builder: Deprecated.
getResourceArgUniqueId() - Method in class org.tensorflow.proto.FunctionDef: Deprecated.
getResourceArgUniqueId() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Deprecated.
getResourceArgUniqueIdCount() - Method in class org.tensorflow.proto.FunctionDef.Builder
getResourceArgUniqueIdCount() - Method in class org.tensorflow.proto.FunctionDef
getResourceArgUniqueIdCount() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdMap() - Method in class org.tensorflow.proto.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdMap() - Method in class org.tensorflow.proto.FunctionDef: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdMap() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdOrDefault(int, int) - Method in class org.tensorflow.proto.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdOrDefault(int, int) - Method in class org.tensorflow.proto.FunctionDef: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdOrDefault(int, int) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdOrThrow(int) - Method in class org.tensorflow.proto.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdOrThrow(int) - Method in class org.tensorflow.proto.FunctionDef: Unique IDs for each resource argument, used to track aliasing resources.
getResourceArgUniqueIdOrThrow(int) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Unique IDs for each resource argument, used to track aliasing resources.
getResourceBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
getResourceDtypesAndShapes(int) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapes(int) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapes(int) - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesBuilder(int) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesBuilderList() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesCount() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesCount() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesCount() - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesList() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesList() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesList() - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesOrBuilder(int) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesOrBuilder(int) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesOrBuilder(int) - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesOrBuilderList() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesOrBuilderList() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle: Optional data types and shapes of a remote resource variable.
getResourceDtypesAndShapesOrBuilderList() - Method in interface org.tensorflow.proto.eager.RemoteTensorHandleOrBuilder: Optional data types and shapes of a remote resource variable.
getResourceHandleVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
getResourceHandleVal(int) - Method in class org.tensorflow.proto.TensorProto: DT_RESOURCE
getResourceHandleVal(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_RESOURCE
getResourceHandleValBuilder(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
getResourceHandleValBuilderList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
getResourceHandleValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
getResourceHandleValCount() - Method in class org.tensorflow.proto.TensorProto: DT_RESOURCE
getResourceHandleValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_RESOURCE
getResourceHandleValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
getResourceHandleValList() - Method in class org.tensorflow.proto.TensorProto: DT_RESOURCE
getResourceHandleValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_RESOURCE
getResourceHandleValOrBuilder(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
getResourceHandleValOrBuilder(int) - Method in class org.tensorflow.proto.TensorProto: DT_RESOURCE
getResourceHandleValOrBuilder(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_RESOURCE
getResourceHandleValOrBuilderList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
getResourceHandleValOrBuilderList() - Method in class org.tensorflow.proto.TensorProto: DT_RESOURCE
getResourceHandleValOrBuilderList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_RESOURCE
getResourceOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
getResourceOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedResource resource = 10;
getResourceOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedResource resource = 10;
getRestoreFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder: int32 restore_function = 3;
getRestoreFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject: int32 restore_function = 3;
getRestoreFunction() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObjectOrBuilder: int32 restore_function = 3;
getRestoreOpName() - Method in class org.tensorflow.proto.SaverDef.Builder: The operation to run when restoring a model checkpoint.
getRestoreOpName() - Method in class org.tensorflow.proto.SaverDef: The operation to run when restoring a model checkpoint.
getRestoreOpName() - Method in interface org.tensorflow.proto.SaverDefOrBuilder: The operation to run when restoring a model checkpoint.
getRestoreOpNameBytes() - Method in class org.tensorflow.proto.SaverDef.Builder: The operation to run when restoring a model checkpoint.
getRestoreOpNameBytes() - Method in class org.tensorflow.proto.SaverDef: The operation to run when restoring a model checkpoint.
getRestoreOpNameBytes() - Method in interface org.tensorflow.proto.SaverDefOrBuilder: The operation to run when restoring a model checkpoint.
getRet() - Method in class org.tensorflow.proto.FunctionDef.Builder: Deprecated.
getRet() - Method in class org.tensorflow.proto.FunctionDef: Deprecated.
getRet() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: Deprecated.
getRetCount() - Method in class org.tensorflow.proto.FunctionDef.Builder
getRetCount() - Method in class org.tensorflow.proto.FunctionDef
getRetCount() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetMap() - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetMap() - Method in class org.tensorflow.proto.FunctionDef: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetMap() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrDefault(String, String) - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrDefault(String, String) - Method in class org.tensorflow.proto.FunctionDef: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrDefault(String, String) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrThrow(String) - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrThrow(String) - Method in class org.tensorflow.proto.FunctionDef: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetOrThrow(String) - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
getRetTypes(int) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Return node types of the function.
getRetTypes(int) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Return node types of the function.
getRetTypes(int) - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Return node types of the function.
getRetTypesCount() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Return node types of the function.
getRetTypesCount() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Return node types of the function.
getRetTypesCount() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Return node types of the function.
getRetTypesList() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Return node types of the function.
getRetTypesList() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Return node types of the function.
getRetTypesList() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Return node types of the function.
getRetTypesValue(int) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Return node types of the function.
getRetTypesValue(int) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Return node types of the function.
getRetTypesValue(int) - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Return node types of the function.
getRetTypesValueList() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Return node types of the function.
getRetTypesValueList() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Return node types of the function.
getRetTypesValueList() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Return node types of the function.
getRewriteOptions() - Method in class org.tensorflow.proto.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
getRewriteOptions() - Method in class org.tensorflow.proto.GraphOptions: Options that control the type and amount of graph rewriting.
getRewriteOptions() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: Options that control the type and amount of graph rewriting.
getRewriteOptionsBuilder() - Method in class org.tensorflow.proto.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
getRewriteOptionsOrBuilder() - Method in class org.tensorflow.proto.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
getRewriteOptionsOrBuilder() - Method in class org.tensorflow.proto.GraphOptions: Options that control the type and amount of graph rewriting.
getRewriteOptionsOrBuilder() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: Options that control the type and amount of graph rewriting.
getRpcOptions() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
getRpcOptions() - Method in class org.tensorflow.proto.ConfigProto: Options that apply when this session uses the distributed runtime.
getRpcOptions() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Options that apply when this session uses the distributed runtime.
getRpcOptionsBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
getRpcOptionsOrBuilder() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
getRpcOptionsOrBuilder() - Method in class org.tensorflow.proto.ConfigProto: Options that apply when this session uses the distributed runtime.
getRpcOptionsOrBuilder() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Options that apply when this session uses the distributed runtime.
getRunConfiguration() - Method in class org.tensorflow.proto.TestResults.Builder: Run-specific parameters (arguments, etc)
getRunConfiguration() - Method in class org.tensorflow.proto.TestResults: Run-specific parameters (arguments, etc)
getRunConfiguration() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: Run-specific parameters (arguments, etc)
getRunConfigurationBuilder() - Method in class org.tensorflow.proto.TestResults.Builder: Run-specific parameters (arguments, etc)
getRunConfigurationOrBuilder() - Method in class org.tensorflow.proto.TestResults.Builder: Run-specific parameters (arguments, etc)
getRunConfigurationOrBuilder() - Method in class org.tensorflow.proto.TestResults: Run-specific parameters (arguments, etc)
getRunConfigurationOrBuilder() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: Run-specific parameters (arguments, etc)
getRunHandlerPoolOptions() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunHandlerPoolOptions() - Method in class org.tensorflow.proto.RunOptions.Experimental: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunHandlerPoolOptions() - Method in interface org.tensorflow.proto.RunOptions.ExperimentalOrBuilder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunHandlerPoolOptionsBuilder() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunHandlerPoolOptionsOrBuilder() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunHandlerPoolOptionsOrBuilder() - Method in class org.tensorflow.proto.RunOptions.Experimental: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunHandlerPoolOptionsOrBuilder() - Method in interface org.tensorflow.proto.RunOptions.ExperimentalOrBuilder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
getRunId() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Run ID that this snapshot corresponds to.
getRunId() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: Run ID that this snapshot corresponds to.
getRunId() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: Run ID that this snapshot corresponds to.
getRunIdBytes() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Run ID that this snapshot corresponds to.
getRunIdBytes() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: Run ID that this snapshot corresponds to.
getRunIdBytes() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: Run ID that this snapshot corresponds to.
getRunMetadata() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder: Byte-encoded version of the `RunMetadata` proto in order to allow lazy deserialization.
getRunMetadata() - Method in class org.tensorflow.proto.TaggedRunMetadata: Byte-encoded version of the `RunMetadata` proto in order to allow lazy deserialization.
getRunMetadata() - Method in interface org.tensorflow.proto.TaggedRunMetadataOrBuilder: Byte-encoded version of the `RunMetadata` proto in order to allow lazy deserialization.
getRunMode() - Method in class org.tensorflow.proto.TestResults.Builder: Used for differentiating between continuous and debug builds.
getRunMode() - Method in class org.tensorflow.proto.TestResults: Used for differentiating between continuous and debug builds.
getRunMode() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: Used for differentiating between continuous and debug builds.
getRunModeBytes() - Method in class org.tensorflow.proto.TestResults.Builder: Used for differentiating between continuous and debug builds.
getRunModeBytes() - Method in class org.tensorflow.proto.TestResults: Used for differentiating between continuous and debug builds.
getRunModeBytes() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: Used for differentiating between continuous and debug builds.
getRunOptions() - Method in class org.tensorflow.proto.CallableOptions.Builder: Options that will be applied to each run.
getRunOptions() - Method in class org.tensorflow.proto.CallableOptions: Options that will be applied to each run.
getRunOptions() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Options that will be applied to each run.
getRunOptionsBuilder() - Method in class org.tensorflow.proto.CallableOptions.Builder: Options that will be applied to each run.
getRunOptionsOrBuilder() - Method in class org.tensorflow.proto.CallableOptions.Builder: Options that will be applied to each run.
getRunOptionsOrBuilder() - Method in class org.tensorflow.proto.CallableOptions: Options that will be applied to each run.
getRunOptionsOrBuilder() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Options that will be applied to each run.
getRunTime() - Method in class org.tensorflow.proto.TestResults.Builder: The amount of time the total run took (wall time in seconds)
getRunTime() - Method in class org.tensorflow.proto.TestResults: The amount of time the total run took (wall time in seconds)
getRunTime() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The amount of time the total run took (wall time in seconds)
getS() - Method in class org.tensorflow.proto.AttrValue.Builder: "string"
getS() - Method in class org.tensorflow.proto.AttrValue: "string"
getS() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "string"
getS() - Method in class org.tensorflow.proto.FullTypeDef.Builder: string s = 3;
getS() - Method in class org.tensorflow.proto.FullTypeDef: string s = 3;
getS() - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder: string s = 3;
getS(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(string)"
getS(int) - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(string)"
getS(int) - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(string)"
getSampleRate() - Method in class org.tensorflow.proto.Summary.Audio.Builder: Sample rate of the audio in Hz.
getSampleRate() - Method in class org.tensorflow.proto.Summary.Audio: Sample rate of the audio in Hz.
getSampleRate() - Method in interface org.tensorflow.proto.Summary.AudioOrBuilder: Sample rate of the audio in Hz.
getSaveableObjects() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Deprecated.
getSaveableObjects() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Deprecated.
getSaveableObjects() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Deprecated.
getSaveableObjectsCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
getSaveableObjectsCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
getSaveableObjectsCount() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Stores the functions used to save and restore this object.
getSaveableObjectsMap() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Stores the functions used to save and restore this object.
getSaveableObjectsMap() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Stores the functions used to save and restore this object.
getSaveableObjectsMap() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Stores the functions used to save and restore this object.
getSaveableObjectsOrDefault(String, SavedObjectGraphOuterClass.SaveableObject) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Stores the functions used to save and restore this object.
getSaveableObjectsOrDefault(String, SavedObjectGraphOuterClass.SaveableObject) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Stores the functions used to save and restore this object.
getSaveableObjectsOrDefault(String, SavedObjectGraphOuterClass.SaveableObject) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Stores the functions used to save and restore this object.
getSaveableObjectsOrThrow(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Stores the functions used to save and restore this object.
getSaveableObjectsOrThrow(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Stores the functions used to save and restore this object.
getSaveableObjectsOrThrow(String) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Stores the functions used to save and restore this object.
getSavedModelChecksum() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of the saved_model.pb, referred to as a "checksum".
getSavedModelChecksum() - Method in class org.tensorflow.proto.FingerprintDef: Hash of the saved_model.pb, referred to as a "checksum".
getSavedModelChecksum() - Method in interface org.tensorflow.proto.FingerprintDefOrBuilder: Hash of the saved_model.pb, referred to as a "checksum".
getSavedModelSchemaVersion() - Method in class org.tensorflow.proto.SavedModel.Builder: The schema version of the SavedModel instance.
getSavedModelSchemaVersion() - Method in class org.tensorflow.proto.SavedModel: The schema version of the SavedModel instance.
getSavedModelSchemaVersion() - Method in interface org.tensorflow.proto.SavedModelOrBuilder: The schema version of the SavedModel instance.
getSavedObjectGraphHash() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of the regularized SavedObjectGraph.
getSavedObjectGraphHash() - Method in class org.tensorflow.proto.FingerprintDef: Hash of the regularized SavedObjectGraph.
getSavedObjectGraphHash() - Method in interface org.tensorflow.proto.FingerprintDefOrBuilder: Hash of the regularized SavedObjectGraph.
getSaveFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder: Node ids of concrete functions for saving and loading from a checkpoint.
getSaveFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject: Node ids of concrete functions for saving and loading from a checkpoint.
getSaveFunction() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObjectOrBuilder: Node ids of concrete functions for saving and loading from a checkpoint.
getSaverDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: SaverDef.
getSaverDef() - Method in class org.tensorflow.proto.MetaGraphDef: SaverDef.
getSaverDef() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: SaverDef.
getSaverDefBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: SaverDef.
getSaverDefOrBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: SaverDef.
getSaverDefOrBuilder() - Method in class org.tensorflow.proto.MetaGraphDef: SaverDef.
getSaverDefOrBuilder() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: SaverDef.
getSaveSliceInfoDef() - Method in class org.tensorflow.proto.VariableDef.Builder: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDef() - Method in class org.tensorflow.proto.VariableDef: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDef() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDefBuilder() - Method in class org.tensorflow.proto.VariableDef.Builder: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDefOrBuilder() - Method in class org.tensorflow.proto.VariableDef.Builder: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDefOrBuilder() - Method in class org.tensorflow.proto.VariableDef: Support for saving variables as slices of a larger variable.
getSaveSliceInfoDefOrBuilder() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Support for saving variables as slices of a larger variable.
getSaveTensorName() - Method in class org.tensorflow.proto.SaverDef.Builder: The operation to run when saving a model checkpoint.
getSaveTensorName() - Method in class org.tensorflow.proto.SaverDef: The operation to run when saving a model checkpoint.
getSaveTensorName() - Method in interface org.tensorflow.proto.SaverDefOrBuilder: The operation to run when saving a model checkpoint.
getSaveTensorNameBytes() - Method in class org.tensorflow.proto.SaverDef.Builder: The operation to run when saving a model checkpoint.
getSaveTensorNameBytes() - Method in class org.tensorflow.proto.SaverDef: The operation to run when saving a model checkpoint.
getSaveTensorNameBytes() - Method in interface org.tensorflow.proto.SaverDefOrBuilder: The operation to run when saving a model checkpoint.
getSBytes() - Method in class org.tensorflow.proto.FullTypeDef.Builder: string s = 3;
getSBytes() - Method in class org.tensorflow.proto.FullTypeDef: string s = 3;
getSBytes() - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder: string s = 3;
getScheduledMicros() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 scheduled_micros = 9;
getScheduledMicros() - Method in class org.tensorflow.proto.NodeExecStats: int64 scheduled_micros = 9;
getScheduledMicros() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: int64 scheduled_micros = 9;
getScheduledNanos() - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 scheduled_nanos = 17;
getScheduledNanos() - Method in class org.tensorflow.proto.NodeExecStats: int64 scheduled_nanos = 17;
getScheduledNanos() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: int64 scheduled_nanos = 17;
getScomplexVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexVal(int) - Method in class org.tensorflow.proto.TensorProto: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexVal(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexValCount() - Method in class org.tensorflow.proto.TensorProto: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexValList() - Method in class org.tensorflow.proto.TensorProto: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScomplexValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
getScopedAllocatorOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimization() - Method in class org.tensorflow.proto.RewriterConfig: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimization() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOptimizationValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
getScopedAllocatorOpts() - Method in class org.tensorflow.proto.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOpts() - Method in class org.tensorflow.proto.RewriterConfig: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOpts() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOptsBuilder() - Method in class org.tensorflow.proto.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOptsOrBuilder() - Method in class org.tensorflow.proto.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOptsOrBuilder() - Method in class org.tensorflow.proto.RewriterConfig: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getScopedAllocatorOptsOrBuilder() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
getSCount() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(string)"
getSCount() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(string)"
getSCount() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(string)"
getSeed() - Method in class org.tensorflow.framework.metrics.BaseMetric: Gets the random number generator seed value
getSensitivity() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the sensitivity
getSeqInterleavePrefetch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool seq_interleave_prefetch = 21;
getSeqInterleavePrefetch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool seq_interleave_prefetch = 21;
getSeqInterleavePrefetch() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool seq_interleave_prefetch = 21;
getSerialIdentifier() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Unique serial number of the machine.
getSerialIdentifier() - Method in class org.tensorflow.proto.MachineConfiguration: Unique serial number of the machine.
getSerialIdentifier() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Unique serial number of the machine.
getSerialIdentifierBytes() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Unique serial number of the machine.
getSerialIdentifierBytes() - Method in class org.tensorflow.proto.MachineConfiguration: Unique serial number of the machine.
getSerialIdentifierBytes() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Unique serial number of the machine.
getSerializedSize() - Method in class org.tensorflow.proto.AllocationDescription
getSerializedSize() - Method in class org.tensorflow.proto.AllocationRecord
getSerializedSize() - Method in class org.tensorflow.proto.AllocatorMemoryUsed
getSerializedSize() - Method in class org.tensorflow.proto.ApiDef.Arg
getSerializedSize() - Method in class org.tensorflow.proto.ApiDef.Attr
getSerializedSize() - Method in class org.tensorflow.proto.ApiDef.Endpoint
getSerializedSize() - Method in class org.tensorflow.proto.ApiDef
getSerializedSize() - Method in class org.tensorflow.proto.ApiDefs
getSerializedSize() - Method in class org.tensorflow.proto.AssetFileDef
getSerializedSize() - Method in class org.tensorflow.proto.AttrValue
getSerializedSize() - Method in class org.tensorflow.proto.AttrValue.ListValue
getSerializedSize() - Method in class org.tensorflow.proto.AutoParallelOptions
getSerializedSize() - Method in class org.tensorflow.proto.AvailableDeviceInfo
getSerializedSize() - Method in class org.tensorflow.proto.BenchmarkEntries
getSerializedSize() - Method in class org.tensorflow.proto.BenchmarkEntry
getSerializedSize() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
getSerializedSize() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
getSerializedSize() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
getSerializedSize() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
getSerializedSize() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
getSerializedSize() - Method in class org.tensorflow.proto.BuildConfiguration
getSerializedSize() - Method in class org.tensorflow.proto.BundleEntryProto
getSerializedSize() - Method in class org.tensorflow.proto.BundleHeaderProto
getSerializedSize() - Method in class org.tensorflow.proto.BytesList
getSerializedSize() - Method in class org.tensorflow.proto.CallableOptions
getSerializedSize() - Method in class org.tensorflow.proto.ClusterDef
getSerializedSize() - Method in class org.tensorflow.proto.ClusterDeviceFilters
getSerializedSize() - Method in class org.tensorflow.proto.CodeLocation
getSerializedSize() - Method in class org.tensorflow.proto.CollectionDef.AnyList
getSerializedSize() - Method in class org.tensorflow.proto.CollectionDef.BytesList
getSerializedSize() - Method in class org.tensorflow.proto.CollectionDef.FloatList
getSerializedSize() - Method in class org.tensorflow.proto.CollectionDef
getSerializedSize() - Method in class org.tensorflow.proto.CollectionDef.Int64List
getSerializedSize() - Method in class org.tensorflow.proto.CollectionDef.NodeList
getSerializedSize() - Method in class org.tensorflow.proto.CommitId
getSerializedSize() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
getSerializedSize() - Method in class org.tensorflow.proto.CondContextDef
getSerializedSize() - Method in class org.tensorflow.proto.ConfigProto.Experimental
getSerializedSize() - Method in class org.tensorflow.proto.ConfigProto
getSerializedSize() - Method in class org.tensorflow.proto.ControlFlowContextDef
getSerializedSize() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
getSerializedSize() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
getSerializedSize() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
getSerializedSize() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
getSerializedSize() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
getSerializedSize() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
getSerializedSize() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
getSerializedSize() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
getSerializedSize() - Method in class org.tensorflow.proto.CostGraphDef
getSerializedSize() - Method in class org.tensorflow.proto.CostGraphDef.Node
getSerializedSize() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
getSerializedSize() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
getSerializedSize() - Method in class org.tensorflow.proto.CPUInfo
getSerializedSize() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
getSerializedSize() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
getSerializedSize() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
getSerializedSize() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
getSerializedSize() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
getSerializedSize() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
getSerializedSize() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
getSerializedSize() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
getSerializedSize() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
getSerializedSize() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
getSerializedSize() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
getSerializedSize() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getSerializedSize() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
getSerializedSize() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
getSerializedSize() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
getSerializedSize() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
getSerializedSize() - Method in class org.tensorflow.proto.data.model.Model.ModelProto
getSerializedSize() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
getSerializedSize() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
getSerializedSize() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
getSerializedSize() - Method in class org.tensorflow.proto.DebugEvent
getSerializedSize() - Method in class org.tensorflow.proto.DebuggedDevice
getSerializedSize() - Method in class org.tensorflow.proto.DebuggedGraph
getSerializedSize() - Method in class org.tensorflow.proto.DebuggedSourceFile
getSerializedSize() - Method in class org.tensorflow.proto.DebuggedSourceFiles
getSerializedSize() - Method in class org.tensorflow.proto.DebugMetadata
getSerializedSize() - Method in class org.tensorflow.proto.DebugOptions
getSerializedSize() - Method in class org.tensorflow.proto.DebugTensorWatch
getSerializedSize() - Method in class org.tensorflow.proto.DeviceAttributes
getSerializedSize() - Method in class org.tensorflow.proto.DeviceLocality
getSerializedSize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
getSerializedSize() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
getSerializedSize() - Method in class org.tensorflow.proto.DeviceStepStats
getSerializedSize() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
getSerializedSize() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
getSerializedSize() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
getSerializedSize() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
getSerializedSize() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
getSerializedSize() - Method in class org.tensorflow.proto.EntryValue
getSerializedSize() - Method in class org.tensorflow.proto.Event
getSerializedSize() - Method in class org.tensorflow.proto.Example
getSerializedSize() - Method in class org.tensorflow.proto.ExampleParserConfiguration
getSerializedSize() - Method in class org.tensorflow.proto.Execution
getSerializedSize() - Method in class org.tensorflow.proto.Feature
getSerializedSize() - Method in class org.tensorflow.proto.FeatureConfiguration
getSerializedSize() - Method in class org.tensorflow.proto.FeatureList
getSerializedSize() - Method in class org.tensorflow.proto.FeatureLists
getSerializedSize() - Method in class org.tensorflow.proto.Features
getSerializedSize() - Method in class org.tensorflow.proto.FingerprintDef
getSerializedSize() - Method in class org.tensorflow.proto.FixedLenFeatureProto
getSerializedSize() - Method in class org.tensorflow.proto.FloatList
getSerializedSize() - Method in class org.tensorflow.proto.FullTypeDef
getSerializedSize() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
getSerializedSize() - Method in class org.tensorflow.proto.FunctionDef
getSerializedSize() - Method in class org.tensorflow.proto.FunctionDefLibrary
getSerializedSize() - Method in class org.tensorflow.proto.GPUInfo
getSerializedSize() - Method in class org.tensorflow.proto.GPUOptions.Experimental
getSerializedSize() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
getSerializedSize() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
getSerializedSize() - Method in class org.tensorflow.proto.GPUOptions
getSerializedSize() - Method in class org.tensorflow.proto.GradientDef
getSerializedSize() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
getSerializedSize() - Method in class org.tensorflow.proto.GraphDebugInfo
getSerializedSize() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
getSerializedSize() - Method in class org.tensorflow.proto.GraphDef
getSerializedSize() - Method in class org.tensorflow.proto.GraphExecutionTrace
getSerializedSize() - Method in class org.tensorflow.proto.GraphOpCreation
getSerializedSize() - Method in class org.tensorflow.proto.GraphOptions
getSerializedSize() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
getSerializedSize() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
getSerializedSize() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
getSerializedSize() - Method in class org.tensorflow.proto.GraphTransferInfo
getSerializedSize() - Method in class org.tensorflow.proto.GraphTransferNodeInfo
getSerializedSize() - Method in class org.tensorflow.proto.GraphTransferNodeInput
getSerializedSize() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
getSerializedSize() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
getSerializedSize() - Method in class org.tensorflow.proto.HistogramProto
getSerializedSize() - Method in class org.tensorflow.proto.Int64List
getSerializedSize() - Method in class org.tensorflow.proto.InterconnectLink
getSerializedSize() - Method in class org.tensorflow.proto.JobDef
getSerializedSize() - Method in class org.tensorflow.proto.JobDeviceFilters
getSerializedSize() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
getSerializedSize() - Method in class org.tensorflow.proto.KernelDef
getSerializedSize() - Method in class org.tensorflow.proto.KernelList
getSerializedSize() - Method in class org.tensorflow.proto.LocalLinks
getSerializedSize() - Method in class org.tensorflow.proto.LogMessage: Deprecated.
getSerializedSize() - Method in class org.tensorflow.proto.MachineConfiguration
getSerializedSize() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
getSerializedSize() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
getSerializedSize() - Method in class org.tensorflow.proto.MemoryInfo
getSerializedSize() - Method in class org.tensorflow.proto.MemoryLogRawAllocation
getSerializedSize() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
getSerializedSize() - Method in class org.tensorflow.proto.MemoryLogStep
getSerializedSize() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
getSerializedSize() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
getSerializedSize() - Method in class org.tensorflow.proto.MemoryLogTensorOutput
getSerializedSize() - Method in class org.tensorflow.proto.MemoryStats
getSerializedSize() - Method in class org.tensorflow.proto.MetaGraphDef
getSerializedSize() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
getSerializedSize() - Method in class org.tensorflow.proto.MetricEntry
getSerializedSize() - Method in class org.tensorflow.proto.NameAttrList
getSerializedSize() - Method in class org.tensorflow.proto.NamedTensorProto
getSerializedSize() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
getSerializedSize() - Method in class org.tensorflow.proto.NodeDef
getSerializedSize() - Method in class org.tensorflow.proto.NodeExecStats
getSerializedSize() - Method in class org.tensorflow.proto.NodeOutput
getSerializedSize() - Method in class org.tensorflow.proto.OpDef.ArgDef
getSerializedSize() - Method in class org.tensorflow.proto.OpDef.AttrDef
getSerializedSize() - Method in class org.tensorflow.proto.OpDef
getSerializedSize() - Method in class org.tensorflow.proto.OpDeprecation
getSerializedSize() - Method in class org.tensorflow.proto.OpList
getSerializedSize() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
getSerializedSize() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
getSerializedSize() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
getSerializedSize() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
getSerializedSize() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
getSerializedSize() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
getSerializedSize() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
getSerializedSize() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
getSerializedSize() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
getSerializedSize() - Method in class org.tensorflow.proto.OptimizerOptions
getSerializedSize() - Method in class org.tensorflow.proto.PlatformInfo
getSerializedSize() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
getSerializedSize() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
getSerializedSize() - Method in class org.tensorflow.proto.profiler.Xplane.XLine
getSerializedSize() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
getSerializedSize() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
getSerializedSize() - Method in class org.tensorflow.proto.profiler.Xplane.XStat
getSerializedSize() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
getSerializedSize() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
getSerializedSize() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
getSerializedSize() - Method in class org.tensorflow.proto.QueueRunnerDef
getSerializedSize() - Method in class org.tensorflow.proto.ReaderBaseState
getSerializedSize() - Method in class org.tensorflow.proto.RegisteredGradient
getSerializedSize() - Method in class org.tensorflow.proto.RequestedExitCode
getSerializedSize() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
getSerializedSize() - Method in class org.tensorflow.proto.ResourceHandleProto
getSerializedSize() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
getSerializedSize() - Method in class org.tensorflow.proto.RewriterConfig
getSerializedSize() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
getSerializedSize() - Method in class org.tensorflow.proto.RunConfiguration
getSerializedSize() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
getSerializedSize() - Method in class org.tensorflow.proto.RunMetadata
getSerializedSize() - Method in class org.tensorflow.proto.RunOptions.Experimental
getSerializedSize() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
getSerializedSize() - Method in class org.tensorflow.proto.RunOptions
getSerializedSize() - Method in class org.tensorflow.proto.SavedModel
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
getSerializedSize() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
getSerializedSize() - Method in class org.tensorflow.proto.SavedSlice
getSerializedSize() - Method in class org.tensorflow.proto.SavedSliceMeta
getSerializedSize() - Method in class org.tensorflow.proto.SavedTensorSliceMeta
getSerializedSize() - Method in class org.tensorflow.proto.SavedTensorSlices
getSerializedSize() - Method in class org.tensorflow.proto.SaverDef
getSerializedSize() - Method in class org.tensorflow.proto.SaveSliceInfoDef
getSerializedSize() - Method in class org.tensorflow.proto.ScopedAllocatorOptions
getSerializedSize() - Method in class org.tensorflow.proto.SequenceExample
getSerializedSize() - Method in class org.tensorflow.proto.SerializedDType
getSerializedSize() - Method in class org.tensorflow.proto.ServerDef
getSerializedSize() - Method in class org.tensorflow.proto.SessionLog
getSerializedSize() - Method in class org.tensorflow.proto.SessionMetadata
getSerializedSize() - Method in class org.tensorflow.proto.SignatureDef
getSerializedSize() - Method in class org.tensorflow.proto.SourceFile
getSerializedSize() - Method in class org.tensorflow.proto.SourceMetadata
getSerializedSize() - Method in class org.tensorflow.proto.StackFrameWithId
getSerializedSize() - Method in class org.tensorflow.proto.StatusProto
getSerializedSize() - Method in class org.tensorflow.proto.StepStats
getSerializedSize() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
getSerializedSize() - Method in class org.tensorflow.proto.Struct.DictValue
getSerializedSize() - Method in class org.tensorflow.proto.Struct.ListValue
getSerializedSize() - Method in class org.tensorflow.proto.Struct.NamedTupleValue
getSerializedSize() - Method in class org.tensorflow.proto.Struct.NoneValue
getSerializedSize() - Method in class org.tensorflow.proto.Struct.PairValue
getSerializedSize() - Method in class org.tensorflow.proto.Struct.StructuredValue
getSerializedSize() - Method in class org.tensorflow.proto.Struct.TensorSpecProto
getSerializedSize() - Method in class org.tensorflow.proto.Struct.TupleValue
getSerializedSize() - Method in class org.tensorflow.proto.Struct.TypeSpecProto
getSerializedSize() - Method in class org.tensorflow.proto.Summary.Audio
getSerializedSize() - Method in class org.tensorflow.proto.Summary
getSerializedSize() - Method in class org.tensorflow.proto.Summary.Image
getSerializedSize() - Method in class org.tensorflow.proto.Summary.Value
getSerializedSize() - Method in class org.tensorflow.proto.SummaryDescription
getSerializedSize() - Method in class org.tensorflow.proto.SummaryMetadata
getSerializedSize() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
getSerializedSize() - Method in class org.tensorflow.proto.TaggedRunMetadata
getSerializedSize() - Method in class org.tensorflow.proto.TaskDeviceFilters
getSerializedSize() - Method in class org.tensorflow.proto.TensorConnection
getSerializedSize() - Method in class org.tensorflow.proto.TensorDescription
getSerializedSize() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
getSerializedSize() - Method in class org.tensorflow.proto.TensorInfo.CooSparse
getSerializedSize() - Method in class org.tensorflow.proto.TensorInfo
getSerializedSize() - Method in class org.tensorflow.proto.TensorProto
getSerializedSize() - Method in class org.tensorflow.proto.TensorShapeProto.Dim
getSerializedSize() - Method in class org.tensorflow.proto.TensorShapeProto
getSerializedSize() - Method in class org.tensorflow.proto.TensorSliceProto.Extent
getSerializedSize() - Method in class org.tensorflow.proto.TensorSliceProto
getSerializedSize() - Method in class org.tensorflow.proto.TestResults
getSerializedSize() - Method in class org.tensorflow.proto.ThreadPoolOptionProto
getSerializedSize() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
getSerializedSize() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
getSerializedSize() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
getSerializedSize() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
getSerializedSize() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
getSerializedSize() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
getSerializedSize() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
getSerializedSize() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
getSerializedSize() - Method in class org.tensorflow.proto.ValuesDef
getSerializedSize() - Method in class org.tensorflow.proto.VariableDef
getSerializedSize() - Method in class org.tensorflow.proto.VariantTensorDataProto
getSerializedSize() - Method in class org.tensorflow.proto.VarLenFeatureProto
getSerializedSize() - Method in class org.tensorflow.proto.VerifierConfig
getSerializedSize() - Method in class org.tensorflow.proto.VersionDef
getSerializedSize() - Method in class org.tensorflow.proto.WatchdogConfig
getSerializedSize() - Method in class org.tensorflow.proto.WhileContextDef
getSerializedSize() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
getSerializedSize() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
getSerializedUserProto() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getSerializedUserProto() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getSerializedUserProto() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getSerializedUserProtoBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getSerializedUserProtoOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getSerializedUserProtoOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getSerializedUserProtoOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
getServiceAddresses(int) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
getServiceAddresses(int) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions: List of servers to profile.
getServiceAddresses(int) - Method in interface org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptionsOrBuilder: List of servers to profile.
getServiceAddressesBytes(int) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
getServiceAddressesBytes(int) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions: List of servers to profile.
getServiceAddressesBytes(int) - Method in interface org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptionsOrBuilder: List of servers to profile.
getServiceAddressesCount() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
getServiceAddressesCount() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions: List of servers to profile.
getServiceAddressesCount() - Method in interface org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptionsOrBuilder: List of servers to profile.
getServiceAddressesList() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
getServiceAddressesList() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions: List of servers to profile.
getServiceAddressesList() - Method in interface org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptionsOrBuilder: List of servers to profile.
getServiceLeader() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Address where the coordination service instance is hosted.
getServiceLeader() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: Address where the coordination service instance is hosted.
getServiceLeader() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: Address where the coordination service instance is hosted.
getServiceLeaderBytes() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Address where the coordination service instance is hosted.
getServiceLeaderBytes() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: Address where the coordination service instance is hosted.
getServiceLeaderBytes() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: Address where the coordination service instance is hosted.
getServiceOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The tf.data service options associated with the dataset.
getServiceOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The tf.data service options associated with the dataset.
getServiceOptions() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The tf.data service options associated with the dataset.
getServiceOptionsBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The tf.data service options associated with the dataset.
getServiceOptionsOrBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The tf.data service options associated with the dataset.
getServiceOptionsOrBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The tf.data service options associated with the dataset.
getServiceOptionsOrBuilder() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The tf.data service options associated with the dataset.
getServiceType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Type of coordination service implementation to enable.
getServiceType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: Type of coordination service implementation to enable.
getServiceType() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: Type of coordination service implementation to enable.
getServiceTypeBytes() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Type of coordination service implementation to enable.
getServiceTypeBytes() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: Type of coordination service implementation to enable.
getServiceTypeBytes() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: Type of coordination service implementation to enable.
getSessionCreationTimestampNs() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Unix timestamp of when the session was started.
getSessionCreationTimestampNs() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions: Unix timestamp of when the session was started.
getSessionCreationTimestampNs() - Method in interface org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptionsOrBuilder: Unix timestamp of when the session was started.
getSessionHandle(Operand) - Method in class org.tensorflow.op.Ops: Store the input tensor in the state of the current session.
GetSessionHandle - Class in org.tensorflow.op.core: Store the input tensor in the state of the current session.
GetSessionHandle(Operation) - Constructor for class org.tensorflow.op.core.GetSessionHandle
GetSessionHandle.Inputs - Class in org.tensorflow.op.core
getSessionInfo() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Information about the session configs.
getSessionInfo() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Information about the session configs.
getSessionInfo() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Information about the session configs.
getSessionInfo() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Deprecated.
tensorflow.OpPerformance.session_info is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=75
getSessionInfo() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: Deprecated.
tensorflow.OpPerformance.session_info is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=75
getSessionInfo() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: Deprecated.
tensorflow.OpPerformance.session_info is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=75
getSessionInfoBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Information about the session configs.
getSessionInfoBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Deprecated.
getSessionInfoOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Information about the session configs.
getSessionInfoOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Information about the session configs.
getSessionInfoOrBuilder() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Information about the session configs.
getSessionInfoOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Deprecated.
getSessionInfoOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: Deprecated.
getSessionInfoOrBuilder() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: Deprecated.
getSessionInterOpThreadPool(int) - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPool(int) - Method in class org.tensorflow.proto.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPool(int) - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolBuilder(int) - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolBuilderList() - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolCount() - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolCount() - Method in class org.tensorflow.proto.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolCount() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolList() - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolList() - Method in class org.tensorflow.proto.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolList() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilder(int) - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilder(int) - Method in class org.tensorflow.proto.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilder(int) - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilderList() - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilderList() - Method in class org.tensorflow.proto.ConfigProto: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionInterOpThreadPoolOrBuilderList() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: This option is experimental - it may be replaced with a different mechanism in the future.
getSessionLog() - Method in class org.tensorflow.proto.Event.Builder: The state of the session which can be used for restarting after crashes.
getSessionLog() - Method in class org.tensorflow.proto.Event: The state of the session which can be used for restarting after crashes.
getSessionLog() - Method in interface org.tensorflow.proto.EventOrBuilder: The state of the session which can be used for restarting after crashes.
getSessionLogBuilder() - Method in class org.tensorflow.proto.Event.Builder: The state of the session which can be used for restarting after crashes.
getSessionLogOrBuilder() - Method in class org.tensorflow.proto.Event.Builder: The state of the session which can be used for restarting after crashes.
getSessionLogOrBuilder() - Method in class org.tensorflow.proto.Event: The state of the session which can be used for restarting after crashes.
getSessionLogOrBuilder() - Method in interface org.tensorflow.proto.EventOrBuilder: The state of the session which can be used for restarting after crashes.
getSessionMetadata() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Metadata about the session.
getSessionMetadata() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Metadata about the session.
getSessionMetadata() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Metadata about the session.
getSessionMetadata() - Method in class org.tensorflow.proto.RunMetadata.Builder: Metadata about the session.
getSessionMetadata() - Method in class org.tensorflow.proto.RunMetadata: Metadata about the session.
getSessionMetadata() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: Metadata about the session.
getSessionMetadataBuilder() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Metadata about the session.
getSessionMetadataBuilder() - Method in class org.tensorflow.proto.RunMetadata.Builder: Metadata about the session.
getSessionMetadataOrBuilder() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Metadata about the session.
getSessionMetadataOrBuilder() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Metadata about the session.
getSessionMetadataOrBuilder() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Metadata about the session.
getSessionMetadataOrBuilder() - Method in class org.tensorflow.proto.RunMetadata.Builder: Metadata about the session.
getSessionMetadataOrBuilder() - Method in class org.tensorflow.proto.RunMetadata: Metadata about the session.
getSessionMetadataOrBuilder() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: Metadata about the session.
getSessionTensor(Operand, Class) - Method in class org.tensorflow.op.Ops: Get the value of the tensor specified by its handle.
GetSessionTensor<T> - Class in org.tensorflow.op.core: Get the value of the tensor specified by its handle.
GetSessionTensor(Operation) - Constructor for class org.tensorflow.op.core.GetSessionTensor
GetSessionTensor.Inputs - Class in org.tensorflow.op.core
getSetOperation() - Method in enum org.tensorflow.framework.op.sets.Sets.Operation: Gets the set operation String value used to pass as the stringOperation value to SparseOps.denseToDenseSetOperation(Operand, Operand, String, DenseToDenseSetOperation.Options...)
getShape() - Method in class org.tensorflow.proto.AttrValue.Builder: "shape"
getShape() - Method in class org.tensorflow.proto.AttrValue: "shape"
getShape() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "shape"
getShape() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.BundleEntryProto: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.TensorShapeProto shape = 1;
getShape() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult: .tensorflow.TensorShapeProto shape = 1;
getShape() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.TensorShapeProto shape = 1;
getShape() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType: .tensorflow.TensorShapeProto shape = 1;
getShape() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndTypeOrBuilder: .tensorflow.TensorShapeProto shape = 1;
getShape() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResultOrBuilder: .tensorflow.TensorShapeProto shape = 1;
getShape() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
getShape() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo: .tensorflow.TensorShapeProto shape = 3;
getShape() - Method in interface org.tensorflow.proto.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.TensorShapeProto shape = 3;
getShape() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.eager.ResourceDtypeAndShapeOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.FixedLenFeatureProto: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfo.TensorPropertiesOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Shape of the tensor.
getShape() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape: Shape of the tensor.
getShape() - Method in interface org.tensorflow.proto.ResourceHandleProto.DtypeAndShapeOrBuilder: Shape of the tensor.
getShape() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Shape of the tensor
getShape() - Method in class org.tensorflow.proto.SavedSliceMeta: Shape of the tensor
getShape() - Method in interface org.tensorflow.proto.SavedSliceMetaOrBuilder: Shape of the tensor
getShape() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.Struct.TensorSpecProto: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in interface org.tensorflow.proto.Struct.TensorSpecProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShape() - Method in class org.tensorflow.proto.TensorDescription.Builder: Shape of the tensor.
getShape() - Method in class org.tensorflow.proto.TensorDescription: Shape of the tensor.
getShape() - Method in interface org.tensorflow.proto.TensorDescriptionOrBuilder: Shape of the tensor.
getShape(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
getShape(int) - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(shape)"
getShape(int) - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(shape)"
getShape(int) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
getShape(int) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo: repeated int64 shape = 3;
getShape(int) - Method in interface org.tensorflow.proto.GraphTransferConstNodeInfoOrBuilder: repeated int64 shape = 3;
getShape(int) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
getShape(int) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo: repeated int64 shape = 2;
getShape(int) - Method in interface org.tensorflow.proto.GraphTransferGraphInputNodeInfoOrBuilder: repeated int64 shape = 2;
getShape(int) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
getShape(int) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo: repeated int64 shape = 2;
getShape(int) - Method in interface org.tensorflow.proto.GraphTransferGraphOutputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeAndType(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
getShapeAndType(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData: Only valid if <is_set>.
getShapeAndType(int) - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleDataOrBuilder: Only valid if <is_set>.
getShapeAndTypeBuilder(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
getShapeAndTypeBuilderList() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
getShapeAndTypeCount() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
getShapeAndTypeCount() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData: Only valid if <is_set>.
getShapeAndTypeCount() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleDataOrBuilder: Only valid if <is_set>.
getShapeAndTypeList() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
getShapeAndTypeList() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData: Only valid if <is_set>.
getShapeAndTypeList() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleDataOrBuilder: Only valid if <is_set>.
getShapeAndTypeOrBuilder(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
getShapeAndTypeOrBuilder(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData: Only valid if <is_set>.
getShapeAndTypeOrBuilder(int) - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleDataOrBuilder: Only valid if <is_set>.
getShapeAndTypeOrBuilderList() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
getShapeAndTypeOrBuilderList() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData: Only valid if <is_set>.
getShapeAndTypeOrBuilderList() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleDataOrBuilder: Only valid if <is_set>.
getShapeBuilder() - Method in class org.tensorflow.proto.AttrValue.Builder: "shape"
getShapeBuilder() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.TensorShapeProto shape = 1;
getShapeBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.TensorShapeProto shape = 1;
getShapeBuilder() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
getShapeBuilder() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Shape of the tensor.
getShapeBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Shape of the tensor
getShapeBuilder() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeBuilder() - Method in class org.tensorflow.proto.TensorDescription.Builder: Shape of the tensor.
getShapeBuilder(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
getShapeBuilderList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
getShapeCount() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
getShapeCount() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(shape)"
getShapeCount() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(shape)"
getShapeCount() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
getShapeCount() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo: repeated int64 shape = 3;
getShapeCount() - Method in interface org.tensorflow.proto.GraphTransferConstNodeInfoOrBuilder: repeated int64 shape = 3;
getShapeCount() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
getShapeCount() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo: repeated int64 shape = 2;
getShapeCount() - Method in interface org.tensorflow.proto.GraphTransferGraphInputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeCount() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
getShapeCount() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo: repeated int64 shape = 2;
getShapeCount() - Method in interface org.tensorflow.proto.GraphTransferGraphOutputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
getShapeList() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(shape)"
getShapeList() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(shape)"
getShapeList() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
getShapeList() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo: repeated int64 shape = 3;
getShapeList() - Method in interface org.tensorflow.proto.GraphTransferConstNodeInfoOrBuilder: repeated int64 shape = 3;
getShapeList() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
getShapeList() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo: repeated int64 shape = 2;
getShapeList() - Method in interface org.tensorflow.proto.GraphTransferGraphInputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeList() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
getShapeList() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo: repeated int64 shape = 2;
getShapeList() - Method in interface org.tensorflow.proto.GraphTransferGraphOutputNodeInfoOrBuilder: repeated int64 shape = 2;
getShapeOptimization() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimization() - Method in class org.tensorflow.proto.RewriterConfig: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimization() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimizationValue() - Method in class org.tensorflow.proto.RewriterConfig: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOptimizationValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Shape optimizations (default is ON) Simplify computations made on shapes.
getShapeOrBuilder() - Method in class org.tensorflow.proto.AttrValue.Builder: "shape"
getShapeOrBuilder() - Method in class org.tensorflow.proto.AttrValue: "shape"
getShapeOrBuilder() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "shape"
getShapeOrBuilder() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.BundleEntryProto: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.TensorShapeProto shape = 1;
getShapeOrBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult: .tensorflow.TensorShapeProto shape = 1;
getShapeOrBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.TensorShapeProto shape = 1;
getShapeOrBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType: .tensorflow.TensorShapeProto shape = 1;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndTypeOrBuilder: .tensorflow.TensorShapeProto shape = 1;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResultOrBuilder: .tensorflow.TensorShapeProto shape = 1;
getShapeOrBuilder() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
getShapeOrBuilder() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo: .tensorflow.TensorShapeProto shape = 3;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.TensorShapeProto shape = 3;
getShapeOrBuilder() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.eager.ResourceDtypeAndShapeOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.FixedLenFeatureProto: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfo.TensorPropertiesOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Shape of the tensor.
getShapeOrBuilder() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape: Shape of the tensor.
getShapeOrBuilder() - Method in interface org.tensorflow.proto.ResourceHandleProto.DtypeAndShapeOrBuilder: Shape of the tensor.
getShapeOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Shape of the tensor
getShapeOrBuilder() - Method in class org.tensorflow.proto.SavedSliceMeta: Shape of the tensor
getShapeOrBuilder() - Method in interface org.tensorflow.proto.SavedSliceMetaOrBuilder: Shape of the tensor
getShapeOrBuilder() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.Struct.TensorSpecProto: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in interface org.tensorflow.proto.Struct.TensorSpecProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
getShapeOrBuilder() - Method in class org.tensorflow.proto.TensorDescription.Builder: Shape of the tensor.
getShapeOrBuilder() - Method in class org.tensorflow.proto.TensorDescription: Shape of the tensor.
getShapeOrBuilder() - Method in interface org.tensorflow.proto.TensorDescriptionOrBuilder: Shape of the tensor.
getShapeOrBuilder(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
getShapeOrBuilder(int) - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(shape)"
getShapeOrBuilder(int) - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(shape)"
getShapeOrBuilderList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
getShapeOrBuilderList() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(shape)"
getShapeOrBuilderList() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(shape)"
getShapesOutputTensorName() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
getShapesOutputTensorName() - Method in class org.tensorflow.proto.VarLenFeatureProto: string shapes_output_tensor_name = 4;
getShapesOutputTensorName() - Method in interface org.tensorflow.proto.VarLenFeatureProtoOrBuilder: string shapes_output_tensor_name = 4;
getShapesOutputTensorNameBytes() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
getShapesOutputTensorNameBytes() - Method in class org.tensorflow.proto.VarLenFeatureProto: string shapes_output_tensor_name = 4;
getShapesOutputTensorNameBytes() - Method in interface org.tensorflow.proto.VarLenFeatureProtoOrBuilder: string shapes_output_tensor_name = 4;
getSharded() - Method in class org.tensorflow.proto.SaverDef.Builder: Shard the save files, one per device that has Variable nodes.
getSharded() - Method in class org.tensorflow.proto.SaverDef: Shard the save files, one per device that has Variable nodes.
getSharded() - Method in interface org.tensorflow.proto.SaverDefOrBuilder: Shard the save files, one per device that has Variable nodes.
getShardId() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
getShardId() - Method in class org.tensorflow.proto.BundleEntryProto: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
getShardId() - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
getShardingPolicy() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
getShardingPolicy() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
getShardingPolicy() - Method in interface org.tensorflow.proto.data.DataService.ProcessingModeDefOrBuilder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
getShardingPolicyValue() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
getShardingPolicyValue() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
getShardingPolicyValue() - Method in interface org.tensorflow.proto.data.DataService.ProcessingModeDefOrBuilder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
getShareClusterDevicesInSession() - Method in class org.tensorflow.proto.ConfigProto.Builder: When true, WorkerSessions are created with device attributes from the full cluster.
getShareClusterDevicesInSession() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: This was promoted to a non-experimental API.
getShareClusterDevicesInSession() - Method in class org.tensorflow.proto.ConfigProto.Experimental: This was promoted to a non-experimental API.
getShareClusterDevicesInSession() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: This was promoted to a non-experimental API.
getShareClusterDevicesInSession() - Method in class org.tensorflow.proto.ConfigProto: When true, WorkerSessions are created with device attributes from the full cluster.
getShareClusterDevicesInSession() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: When true, WorkerSessions are created with device attributes from the full cluster.
getSharedMemorySizePerMultiprocessor() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Shared memory size per multiprocessor in bytes.
getSharedMemorySizePerMultiprocessor() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Shared memory size per multiprocessor in bytes.
getSharedMemorySizePerMultiprocessor() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Shared memory size per multiprocessor in bytes.
getShareSessionStateInClusterspecPropagation() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server.
getShareSessionStateInClusterspecPropagation() - Method in class org.tensorflow.proto.ConfigProto.Experimental: In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server.
getShareSessionStateInClusterspecPropagation() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server.
getShuffleAndRepeatFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool shuffle_and_repeat_fusion = 17;
getShuffleAndRepeatFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool shuffle_and_repeat_fusion = 17;
getShuffleAndRepeatFusion() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool shuffle_and_repeat_fusion = 17;
getShutdownBarrierTimeoutInMs() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Denotes how long to wait for all coordination agents to reach the barriers (after the first shutdown request) before disconnecting together.
getShutdownBarrierTimeoutInMs() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig: Denotes how long to wait for all coordination agents to reach the barriers (after the first shutdown request) before disconnecting together.
getShutdownBarrierTimeoutInMs() - Method in interface org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfigOrBuilder: Denotes how long to wait for all coordination agents to reach the barriers (after the first shutdown request) before disconnecting together.
getShutdownMode() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
getShutdownMode() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
getShutdownMode() - Method in interface org.tensorflow.proto.WorkerHeartbeatRequestOrBuilder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
getShutdownModeValue() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
getShutdownModeValue() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
getShutdownModeValue() - Method in interface org.tensorflow.proto.WorkerHeartbeatRequestOrBuilder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
getShutdownQuietPeriodMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: When shutting down a worker, how long to wait for the gRPC server to process the final requests.
getShutdownQuietPeriodMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: When shutting down a worker, how long to wait for the gRPC server to process the final requests.
getShutdownQuietPeriodMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: When shutting down a worker, how long to wait for the gRPC server to process the final requests.
getSigma() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder: double sigma = 2;
getSigma() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution: double sigma = 2;
getSigma() - Method in interface org.tensorflow.proto.OpPerformanceData.LogNormalDistributionOrBuilder: double sigma = 2;
getSigma() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder: double sigma = 2;
getSigma() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution: double sigma = 2;
getSigma() - Method in interface org.tensorflow.proto.OpPerformanceData.NormalDistributionOrBuilder: double sigma = 2;
getSignature() - Method in class org.tensorflow.proto.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
getSignature() - Method in class org.tensorflow.proto.FunctionDef: The definition of the function's name, arguments, return values, attrs etc.
getSignature() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: The definition of the function's name, arguments, return values, attrs etc.
getSignatureBuilder() - Method in class org.tensorflow.proto.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
getSignatureDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Deprecated.
getSignatureDef() - Method in class org.tensorflow.proto.MetaGraphDef: Deprecated.
getSignatureDef() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: Deprecated.
getSignatureDefCount() - Method in class org.tensorflow.proto.MetaGraphDef.Builder
getSignatureDefCount() - Method in class org.tensorflow.proto.MetaGraphDef
getSignatureDefCount() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefHash() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of the regularized (sorted) SignatureDefs.
getSignatureDefHash() - Method in class org.tensorflow.proto.FingerprintDef: Hash of the regularized (sorted) SignatureDefs.
getSignatureDefHash() - Method in interface org.tensorflow.proto.FingerprintDefOrBuilder: Hash of the regularized (sorted) SignatureDefs.
getSignatureDefMap() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefMap() - Method in class org.tensorflow.proto.MetaGraphDef: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefMap() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrDefault(String, SignatureDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrDefault(String, SignatureDef) - Method in class org.tensorflow.proto.MetaGraphDef: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrDefault(String, SignatureDef) - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrThrow(String) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrThrow(String) - Method in class org.tensorflow.proto.MetaGraphDef: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureDefOrThrow(String) - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
getSignatureOrBuilder() - Method in class org.tensorflow.proto.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
getSignatureOrBuilder() - Method in class org.tensorflow.proto.FunctionDef: The definition of the function's name, arguments, return values, attrs etc.
getSignatureOrBuilder() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: The definition of the function's name, arguments, return values, attrs etc.
getSimpleValue() - Method in class org.tensorflow.proto.Summary.Value.Builder: float simple_value = 2;
getSimpleValue() - Method in class org.tensorflow.proto.Summary.Value: float simple_value = 2;
getSimpleValue() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: float simple_value = 2;
getSize() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: int64 size = 2;
getSize() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk: int64 size = 2;
getSize() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemChunkOrBuilder: int64 size = 2;
getSize() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder: int64 size = 2;
getSize() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot: int64 size = 2;
getSize() - Method in interface org.tensorflow.proto.BfcMemoryMap.SnapShotOrBuilder: int64 size = 2;
getSize() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: int64 size = 5;
getSize() - Method in class org.tensorflow.proto.BundleEntryProto: int64 size = 5;
getSize() - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: int64 size = 5;
getSize() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: int64 size = 1;
getSize() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo: int64 size = 1;
getSize() - Method in interface org.tensorflow.proto.CostGraphDef.Node.OutputInfoOrBuilder: int64 size = 1;
getSize() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder: Size of the tensor in that dimension.
getSize() - Method in class org.tensorflow.proto.TensorShapeProto.Dim: Size of the tensor in that dimension.
getSize() - Method in interface org.tensorflow.proto.TensorShapeProto.DimOrBuilder: Size of the tensor in that dimension.
getSlack() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool slack = 4;
getSlack() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: bool slack = 4;
getSlack() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: bool slack = 4;
getSlice() - Method in class org.tensorflow.proto.SavedSlice.Builder: Extent of the slice.
getSlice() - Method in class org.tensorflow.proto.SavedSlice: Extent of the slice.
getSlice() - Method in interface org.tensorflow.proto.SavedSliceOrBuilder: Extent of the slice.
getSlice(int) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSlice(int) - Method in class org.tensorflow.proto.SavedSliceMeta: Explicit list of slices saved in the checkpoint file.
getSlice(int) - Method in interface org.tensorflow.proto.SavedSliceMetaOrBuilder: Explicit list of slices saved in the checkpoint file.
getSliceBuilder() - Method in class org.tensorflow.proto.SavedSlice.Builder: Extent of the slice.
getSliceBuilder(int) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSliceBuilderList() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSliceCount() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSliceCount() - Method in class org.tensorflow.proto.SavedSliceMeta: Explicit list of slices saved in the checkpoint file.
getSliceCount() - Method in interface org.tensorflow.proto.SavedSliceMetaOrBuilder: Explicit list of slices saved in the checkpoint file.
getSliceList() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSliceList() - Method in class org.tensorflow.proto.SavedSliceMeta: Explicit list of slices saved in the checkpoint file.
getSliceList() - Method in interface org.tensorflow.proto.SavedSliceMetaOrBuilder: Explicit list of slices saved in the checkpoint file.
getSliceOrBuilder() - Method in class org.tensorflow.proto.SavedSlice.Builder: Extent of the slice.
getSliceOrBuilder() - Method in class org.tensorflow.proto.SavedSlice: Extent of the slice.
getSliceOrBuilder() - Method in interface org.tensorflow.proto.SavedSliceOrBuilder: Extent of the slice.
getSliceOrBuilder(int) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSliceOrBuilder(int) - Method in class org.tensorflow.proto.SavedSliceMeta: Explicit list of slices saved in the checkpoint file.
getSliceOrBuilder(int) - Method in interface org.tensorflow.proto.SavedSliceMetaOrBuilder: Explicit list of slices saved in the checkpoint file.
getSliceOrBuilderList() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
getSliceOrBuilderList() - Method in class org.tensorflow.proto.SavedSliceMeta: Explicit list of slices saved in the checkpoint file.
getSliceOrBuilderList() - Method in interface org.tensorflow.proto.SavedSliceMetaOrBuilder: Explicit list of slices saved in the checkpoint file.
getSlices(int) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlices(int) - Method in class org.tensorflow.proto.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlices(int) - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSlicesBuilder(int) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesBuilderList() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesCount() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesCount() - Method in class org.tensorflow.proto.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlicesCount() - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSlicesList() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesList() - Method in class org.tensorflow.proto.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlicesList() - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilder(int) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilder(int) - Method in class org.tensorflow.proto.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilder(int) - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilderList() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilderList() - Method in class org.tensorflow.proto.BundleEntryProto: Iff present, this entry represents a partitioned tensor.
getSlicesOrBuilderList() - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: Iff present, this entry represents a partitioned tensor.
getSList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(string)"
getSList() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(string)"
getSList() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(string)"
getSlot() - Method in class org.tensorflow.proto.NodeOutput.Builder: int32 slot = 1;
getSlot() - Method in class org.tensorflow.proto.NodeOutput: int32 slot = 1;
getSlot() - Method in interface org.tensorflow.proto.NodeOutputOrBuilder: int32 slot = 1;
getSlot(Output, String) - Method in class org.tensorflow.framework.optimizers.Optimizer: Gets the slot associated with the specified variable and slot name.
getSlotName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: The name of the slot (e.g.
getSlotName() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference: The name of the slot (e.g.
getSlotName() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReferenceOrBuilder: The name of the slot (e.g.
getSlotNameBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: The name of the slot (e.g.
getSlotNameBytes() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference: The name of the slot (e.g.
getSlotNameBytes() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReferenceOrBuilder: The name of the slot (e.g.
getSlotVariableNodeId() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
getSlotVariableNodeId() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference: An index into `TrackableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
getSlotVariableNodeId() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReferenceOrBuilder: An index into `TrackableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
getSlotVariables(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
getSlotVariables(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Slot variables owned by this object.
getSlotVariables(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Slot variables owned by this object.
getSlotVariables(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariables(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Slot variables owned by this object.
getSlotVariables(int) - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
getSlotVariablesBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariablesBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
getSlotVariablesBuilderList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariablesCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
getSlotVariablesCount() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Slot variables owned by this object.
getSlotVariablesCount() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesCount() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariablesCount() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Slot variables owned by this object.
getSlotVariablesCount() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
getSlotVariablesList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Slot variables owned by this object.
getSlotVariablesList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariablesList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Slot variables owned by this object.
getSlotVariablesList() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Slot variables owned by this object.
getSlotVariablesOrBuilder(int) - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Slot variables owned by this object.
getSlotVariablesOrBuilderList() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Slot variables owned by this object.
getSnapshot() - Method in class org.tensorflow.proto.CommitId.Builder: Hash of intermediate change between hash/changelist and what was tested.
getSnapshot() - Method in class org.tensorflow.proto.CommitId: Hash of intermediate change between hash/changelist and what was tested.
getSnapshot() - Method in interface org.tensorflow.proto.CommitIdOrBuilder: Hash of intermediate change between hash/changelist and what was tested.
getSnapShot(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShot(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShot(int) - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotBuilder(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotBuilderList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapshotBytes() - Method in class org.tensorflow.proto.CommitId.Builder: Hash of intermediate change between hash/changelist and what was tested.
getSnapshotBytes() - Method in class org.tensorflow.proto.CommitId: Hash of intermediate change between hash/changelist and what was tested.
getSnapshotBytes() - Method in interface org.tensorflow.proto.CommitIdOrBuilder: Hash of intermediate change between hash/changelist and what was tested.
getSnapShotCount() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotCount() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotCount() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotList() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapshotMaxChunkSizeBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The maximum size of a distributed snapshot chunk file.
getSnapshotMaxChunkSizeBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The maximum size of a distributed snapshot chunk file.
getSnapshotMaxChunkSizeBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The maximum size of a distributed snapshot chunk file.
getSnapshotName() - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the snapshot tensor.
getSnapshotName() - Method in class org.tensorflow.proto.VariableDef: Name of the snapshot tensor.
getSnapshotName() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Name of the snapshot tensor.
getSnapshotNameBytes() - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the snapshot tensor.
getSnapshotNameBytes() - Method in class org.tensorflow.proto.VariableDef: Name of the snapshot tensor.
getSnapshotNameBytes() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Name of the snapshot tensor.
getSnapShotOrBuilder(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotOrBuilder(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotOrBuilder(int) - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotOrBuilderList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotOrBuilderList() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: repeated .tensorflow.SnapShot snap_shot = 4;
getSnapShotOrBuilderList() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: repeated .tensorflow.SnapShot snap_shot = 4;
getSocOpId() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 soc_op_id = 4;
getSocOpId() - Method in class org.tensorflow.proto.GraphTransferNodeInfo: int32 soc_op_id = 4;
getSocOpId() - Method in interface org.tensorflow.proto.GraphTransferNodeInfoOrBuilder: int32 soc_op_id = 4;
getSource() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Indicates the source environment where this proto is generated.
getSource() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Indicates the source environment where this proto is generated.
getSource() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Indicates the source environment where this proto is generated.
getSourceFile() - Method in class org.tensorflow.proto.DebugEvent.Builder: The content of a source file.
getSourceFile() - Method in class org.tensorflow.proto.DebugEvent: The content of a source file.
getSourceFile() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: The content of a source file.
getSourceFileBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: The content of a source file.
getSourceFileOrBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: The content of a source file.
getSourceFileOrBuilder() - Method in class org.tensorflow.proto.DebugEvent: The content of a source file.
getSourceFileOrBuilder() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: The content of a source file.
getSourceFiles(int) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFiles(int) - Method in class org.tensorflow.proto.DebuggedSourceFiles: A collection of source code files.
getSourceFiles(int) - Method in interface org.tensorflow.proto.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceFilesBuilder(int) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesBuilderList() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesCount() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesCount() - Method in class org.tensorflow.proto.DebuggedSourceFiles: A collection of source code files.
getSourceFilesCount() - Method in interface org.tensorflow.proto.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceFilesList() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesList() - Method in class org.tensorflow.proto.DebuggedSourceFiles: A collection of source code files.
getSourceFilesList() - Method in interface org.tensorflow.proto.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceFilesOrBuilder(int) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesOrBuilder(int) - Method in class org.tensorflow.proto.DebuggedSourceFiles: A collection of source code files.
getSourceFilesOrBuilder(int) - Method in interface org.tensorflow.proto.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceFilesOrBuilderList() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
getSourceFilesOrBuilderList() - Method in class org.tensorflow.proto.DebuggedSourceFiles: A collection of source code files.
getSourceFilesOrBuilderList() - Method in interface org.tensorflow.proto.DebuggedSourceFilesOrBuilder: A collection of source code files.
getSourceMetadata() - Method in class org.tensorflow.proto.Event.Builder: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
getSourceMetadata() - Method in class org.tensorflow.proto.Event: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
getSourceMetadata() - Method in interface org.tensorflow.proto.EventOrBuilder: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
getSourceMetadataBuilder() - Method in class org.tensorflow.proto.Event.Builder: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
getSourceMetadataOrBuilder() - Method in class org.tensorflow.proto.Event.Builder: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
getSourceMetadataOrBuilder() - Method in class org.tensorflow.proto.Event: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
getSourceMetadataOrBuilder() - Method in interface org.tensorflow.proto.EventOrBuilder: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
getSourceValue() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Indicates the source environment where this proto is generated.
getSourceValue() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Indicates the source environment where this proto is generated.
getSourceValue() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Indicates the source environment where this proto is generated.
getSpecificity() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the specificity
getStackFrameIds(int) - Method in class org.tensorflow.proto.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIds(int) - Method in class org.tensorflow.proto.CodeLocation: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIds(int) - Method in interface org.tensorflow.proto.CodeLocationOrBuilder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsBytes(int) - Method in class org.tensorflow.proto.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsBytes(int) - Method in class org.tensorflow.proto.CodeLocation: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsBytes(int) - Method in interface org.tensorflow.proto.CodeLocationOrBuilder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsCount() - Method in class org.tensorflow.proto.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsCount() - Method in class org.tensorflow.proto.CodeLocation: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsCount() - Method in interface org.tensorflow.proto.CodeLocationOrBuilder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsList() - Method in class org.tensorflow.proto.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsList() - Method in class org.tensorflow.proto.CodeLocation: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameIdsList() - Method in interface org.tensorflow.proto.CodeLocationOrBuilder: ID to a stack frame, each of which is pointed to by a unique ID.
getStackFrameWithId() - Method in class org.tensorflow.proto.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
getStackFrameWithId() - Method in class org.tensorflow.proto.DebugEvent: A stack frame (filename, line number and column number, function name and code string) with ID.
getStackFrameWithId() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: A stack frame (filename, line number and column number, function name and code string) with ID.
getStackFrameWithIdBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
getStackFrameWithIdOrBuilder() - Method in class org.tensorflow.proto.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
getStackFrameWithIdOrBuilder() - Method in class org.tensorflow.proto.DebugEvent: A stack frame (filename, line number and column number, function name and code string) with ID.
getStackFrameWithIdOrBuilder() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: A stack frame (filename, line number and column number, function name and code string) with ID.
getStart() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder: Start index of the slice, starting at 0.
getStart() - Method in class org.tensorflow.proto.TensorSliceProto.Extent: Start index of the slice, starting at 0.
getStart() - Method in interface org.tensorflow.proto.TensorSliceProto.ExtentOrBuilder: Start index of the slice, starting at 0.
getStartTime() - Method in class org.tensorflow.proto.TestResults.Builder: The time the run started (in seconds of UTC time since Unix epoch)
getStartTime() - Method in class org.tensorflow.proto.TestResults: The time the run started (in seconds of UTC time since Unix epoch)
getStartTime() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The time the run started (in seconds of UTC time since Unix epoch)
getStartTimestampNs() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: The local profiler starts profiling at this Unix timestamp in nanoseconds.
getStartTimestampNs() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions: The local profiler starts profiling at this Unix timestamp in nanoseconds.
getStartTimestampNs() - Method in interface org.tensorflow.proto.ProfilerOptions.ProfileOptionsOrBuilder: The local profiler starts profiling at this Unix timestamp in nanoseconds.
getStateValue() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: The actual value of the parameter.
getStateValue() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter: The actual value of the parameter.
getStateValue() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.Node.ParameterOrBuilder: The actual value of the parameter.
getStatMetadata() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Deprecated.
getStatMetadata() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: Deprecated.
getStatMetadata() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: Deprecated.
getStatMetadataCount() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
getStatMetadataCount() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
getStatMetadataCount() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataMap() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataMap() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataMap() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataOrDefault(long, Xplane.XStatMetadata) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataOrDefault(long, Xplane.XStatMetadata) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataOrDefault(long, Xplane.XStatMetadata) - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataOrThrow(long) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataOrThrow(long) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStatMetadataOrThrow(long) - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
getStats() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
getStats() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: .tensorflow.MemAllocatorStats stats = 5;
getStats() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: .tensorflow.MemAllocatorStats stats = 5;
getStats(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
getStats(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent: XStats associated with the event.
getStats(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStats(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: XStats that are constant for all XEvents with the same metadata_id.
getStats(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: XStats that are constant for all XEvents with the same metadata_id.
getStats(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XEventOrBuilder: XStats associated with the event.
getStats(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
getStats(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XStats associated with this plane, e.g. device capabilities.
getStats(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XStats associated with this plane, e.g. device capabilities.
getStatsBuilder() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
getStatsBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
getStatsBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStatsBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
getStatsBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
getStatsBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStatsBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
getStatsCount() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
getStatsCount() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent: XStats associated with the event.
getStatsCount() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStatsCount() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: XStats that are constant for all XEvents with the same metadata_id.
getStatsCount() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: XStats that are constant for all XEvents with the same metadata_id.
getStatsCount() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventOrBuilder: XStats associated with the event.
getStatsCount() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
getStatsCount() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XStats associated with this plane, e.g. device capabilities.
getStatsCount() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XStats associated with this plane, e.g. device capabilities.
getStatsFromListOfSparseCoreCooTensors(Iterable, Iterable, Iterable, List, List, Long, Long, Long, Long, String) - Method in class org.tensorflow.op.SparseOps: The GetStatsFromListOfSparseCoreCooTensors operation
GetStatsFromListOfSparseCoreCooTensors - Class in org.tensorflow.op.sparse: The GetStatsFromListOfSparseCoreCooTensors operation
GetStatsFromListOfSparseCoreCooTensors(Operation) - Constructor for class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors
GetStatsFromListOfSparseCoreCooTensors.Inputs - Class in org.tensorflow.op.sparse
getStatsList() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
getStatsList() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent: XStats associated with the event.
getStatsList() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStatsList() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: XStats that are constant for all XEvents with the same metadata_id.
getStatsList() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: XStats that are constant for all XEvents with the same metadata_id.
getStatsList() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventOrBuilder: XStats associated with the event.
getStatsList() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
getStatsList() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XStats associated with this plane, e.g. device capabilities.
getStatsList() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XStats associated with this plane, e.g. device capabilities.
getStatsOrBuilder() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
getStatsOrBuilder() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: .tensorflow.MemAllocatorStats stats = 5;
getStatsOrBuilder() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: .tensorflow.MemAllocatorStats stats = 5;
getStatsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
getStatsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent: XStats associated with the event.
getStatsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStatsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: XStats that are constant for all XEvents with the same metadata_id.
getStatsOrBuilder(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: XStats that are constant for all XEvents with the same metadata_id.
getStatsOrBuilder(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XEventOrBuilder: XStats associated with the event.
getStatsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
getStatsOrBuilder(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XStats associated with this plane, e.g. device capabilities.
getStatsOrBuilder(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XStats associated with this plane, e.g. device capabilities.
getStatsOrBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
getStatsOrBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent: XStats associated with the event.
getStatsOrBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
getStatsOrBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata: XStats that are constant for all XEvents with the same metadata_id.
getStatsOrBuilderList() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventMetadataOrBuilder: XStats that are constant for all XEvents with the same metadata_id.
getStatsOrBuilderList() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventOrBuilder: XStats associated with the event.
getStatsOrBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
getStatsOrBuilderList() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane: XStats associated with this plane, e.g. device capabilities.
getStatsOrBuilderList() - Method in interface org.tensorflow.proto.profiler.Xplane.XPlaneOrBuilder: XStats associated with this plane, e.g. device capabilities.
getStatus() - Method in class org.tensorflow.proto.SessionLog.Builder: .tensorflow.SessionLog.SessionStatus status = 1;
getStatus() - Method in class org.tensorflow.proto.SessionLog: .tensorflow.SessionLog.SessionStatus status = 1;
getStatus() - Method in interface org.tensorflow.proto.SessionLogOrBuilder: .tensorflow.SessionLog.SessionStatus status = 1;
getStatusValue() - Method in class org.tensorflow.proto.SessionLog.Builder: .tensorflow.SessionLog.SessionStatus status = 1;
getStatusValue() - Method in class org.tensorflow.proto.SessionLog: .tensorflow.SessionLog.SessionStatus status = 1;
getStatusValue() - Method in interface org.tensorflow.proto.SessionLogOrBuilder: .tensorflow.SessionLog.SessionStatus status = 1;
getStep() - Method in class org.tensorflow.proto.DebugEvent.Builder: Step of training (if available).
getStep() - Method in class org.tensorflow.proto.DebugEvent: Step of training (if available).
getStep() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: Step of training (if available).
getStep() - Method in class org.tensorflow.proto.Event.Builder: Global step of the event.
getStep() - Method in class org.tensorflow.proto.Event: Global step of the event.
getStep() - Method in interface org.tensorflow.proto.EventOrBuilder: Global step of the event.
getStepId() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: uint64 step_id = 9;
getStepId() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk: uint64 step_id = 9;
getStepId() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemChunkOrBuilder: uint64 step_id = 9;
getStepId() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.MemoryLogRawAllocation: Process-unique step id.
getStepId() - Method in interface org.tensorflow.proto.MemoryLogRawAllocationOrBuilder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation: Process-unique step id.
getStepId() - Method in interface org.tensorflow.proto.MemoryLogRawDeallocationOrBuilder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.MemoryLogStep.Builder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.MemoryLogStep: Process-unique step id.
getStepId() - Method in interface org.tensorflow.proto.MemoryLogStepOrBuilder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation: Process-unique step id.
getStepId() - Method in interface org.tensorflow.proto.MemoryLogTensorAllocationOrBuilder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Process-unique step id.
getStepId() - Method in class org.tensorflow.proto.MemoryLogTensorOutput: Process-unique step id.
getStepId() - Method in interface org.tensorflow.proto.MemoryLogTensorOutputOrBuilder: Process-unique step id.
getStepStats() - Method in class org.tensorflow.proto.RunMetadata.Builder: Statistics traced for this step.
getStepStats() - Method in class org.tensorflow.proto.RunMetadata: Statistics traced for this step.
getStepStats() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: Statistics traced for this step.
getStepStatsBuilder() - Method in class org.tensorflow.proto.RunMetadata.Builder: Statistics traced for this step.
getStepStatsOrBuilder() - Method in class org.tensorflow.proto.RunMetadata.Builder: Statistics traced for this step.
getStepStatsOrBuilder() - Method in class org.tensorflow.proto.RunMetadata: Statistics traced for this step.
getStepStatsOrBuilder() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: Statistics traced for this step.
getStreamMergeOptions() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
getStreamMergeOptions() - Method in class org.tensorflow.proto.GPUOptions.Experimental: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
getStreamMergeOptions() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
getStreamMergeOptionsBuilder() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
getStreamMergeOptionsOrBuilder() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
getStreamMergeOptionsOrBuilder() - Method in class org.tensorflow.proto.GPUOptions.Experimental: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
getStreamMergeOptionsOrBuilder() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
getStreamMergeThreshold() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: The threshold to merge small streams in TFRT.
getStreamMergeThreshold() - Method in class org.tensorflow.proto.ConfigProto.Experimental: The threshold to merge small streams in TFRT.
getStreamMergeThreshold() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: The threshold to merge small streams in TFRT.
getStrength() - Method in class org.tensorflow.proto.InterconnectLink.Builder: int32 strength = 3;
getStrength() - Method in class org.tensorflow.proto.InterconnectLink: int32 strength = 3;
getStrength() - Method in interface org.tensorflow.proto.InterconnectLinkOrBuilder: int32 strength = 3;
getStringVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_STRING
getStringVal(int) - Method in class org.tensorflow.proto.TensorProto: DT_STRING
getStringVal(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_STRING
getStringValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_STRING
getStringValCount() - Method in class org.tensorflow.proto.TensorProto: DT_STRING
getStringValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_STRING
getStringValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_STRING
getStringValList() - Method in class org.tensorflow.proto.TensorProto: DT_STRING
getStringValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_STRING
getStringValue() - Method in class org.tensorflow.proto.EntryValue.Builder: string string_value = 2;
getStringValue() - Method in class org.tensorflow.proto.EntryValue: string string_value = 2;
getStringValue() - Method in interface org.tensorflow.proto.EntryValueOrBuilder: string string_value = 2;
getStringValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a string of Unicode characters stored in a Python `str`.
getStringValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a string of Unicode characters stored in a Python `str`.
getStringValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a string of Unicode characters stored in a Python `str`.
getStringValueBytes() - Method in class org.tensorflow.proto.EntryValue.Builder: string string_value = 2;
getStringValueBytes() - Method in class org.tensorflow.proto.EntryValue: string string_value = 2;
getStringValueBytes() - Method in interface org.tensorflow.proto.EntryValueOrBuilder: string string_value = 2;
getStringValueBytes() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a string of Unicode characters stored in a Python `str`.
getStringValueBytes() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a string of Unicode characters stored in a Python `str`.
getStringValueBytes() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a string of Unicode characters stored in a Python `str`.
getStrippedDefaultAttrs() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
getStrippedDefaultAttrs() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
getStrippedDefaultAttrs() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
getStrippedOpList() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpList() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpList() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpListBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpListOrBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpListOrBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: A copy of the OpDefs used by the producer of this graph_def.
getStrippedOpListOrBuilder() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: A copy of the OpDefs used by the producer of this graph_def.
getStructureVerifier() - Method in class org.tensorflow.proto.VerifierConfig.Builder: Perform structural validation on a tensorflow graph.
getStructureVerifier() - Method in class org.tensorflow.proto.VerifierConfig: Perform structural validation on a tensorflow graph.
getStructureVerifier() - Method in interface org.tensorflow.proto.VerifierConfigOrBuilder: Perform structural validation on a tensorflow graph.
getStructureVerifierValue() - Method in class org.tensorflow.proto.VerifierConfig.Builder: Perform structural validation on a tensorflow graph.
getStructureVerifierValue() - Method in class org.tensorflow.proto.VerifierConfig: Perform structural validation on a tensorflow graph.
getStructureVerifierValue() - Method in interface org.tensorflow.proto.VerifierConfigOrBuilder: Perform structural validation on a tensorflow graph.
getStrValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: string str_value = 5;
getStrValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: string str_value = 5;
getStrValue() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: string str_value = 5;
getStrValueBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: string str_value = 5;
getStrValueBytes() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: string str_value = 5;
getStrValueBytes() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: string str_value = 5;
getSum() - Method in class org.tensorflow.proto.HistogramProto.Builder: double sum = 4;
getSum() - Method in class org.tensorflow.proto.HistogramProto: double sum = 4;
getSum() - Method in interface org.tensorflow.proto.HistogramProtoOrBuilder: double sum = 4;
getSummary() - Method in class org.tensorflow.proto.ApiDef.Builder: One-line human-readable description of what the Op does.
getSummary() - Method in class org.tensorflow.proto.ApiDef: One-line human-readable description of what the Op does.
getSummary() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: One-line human-readable description of what the Op does.
getSummary() - Method in class org.tensorflow.proto.Event.Builder: A summary was generated.
getSummary() - Method in class org.tensorflow.proto.Event: A summary was generated.
getSummary() - Method in interface org.tensorflow.proto.EventOrBuilder: A summary was generated.
getSummary() - Method in class org.tensorflow.proto.OpDef.Builder: One-line human-readable description of what the Op does.
getSummary() - Method in class org.tensorflow.proto.OpDef: One-line human-readable description of what the Op does.
getSummary() - Method in interface org.tensorflow.proto.OpDefOrBuilder: One-line human-readable description of what the Op does.
getSummaryBuilder() - Method in class org.tensorflow.proto.Event.Builder: A summary was generated.
getSummaryBytes() - Method in class org.tensorflow.proto.ApiDef.Builder: One-line human-readable description of what the Op does.
getSummaryBytes() - Method in class org.tensorflow.proto.ApiDef: One-line human-readable description of what the Op does.
getSummaryBytes() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: One-line human-readable description of what the Op does.
getSummaryBytes() - Method in class org.tensorflow.proto.OpDef.Builder: One-line human-readable description of what the Op does.
getSummaryBytes() - Method in class org.tensorflow.proto.OpDef: One-line human-readable description of what the Op does.
getSummaryBytes() - Method in interface org.tensorflow.proto.OpDefOrBuilder: One-line human-readable description of what the Op does.
getSummaryDescription() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Longform readable description of the summary sequence.
getSummaryDescription() - Method in class org.tensorflow.proto.SummaryMetadata: Longform readable description of the summary sequence.
getSummaryDescription() - Method in interface org.tensorflow.proto.SummaryMetadataOrBuilder: Longform readable description of the summary sequence.
getSummaryDescriptionBytes() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Longform readable description of the summary sequence.
getSummaryDescriptionBytes() - Method in class org.tensorflow.proto.SummaryMetadata: Longform readable description of the summary sequence.
getSummaryDescriptionBytes() - Method in interface org.tensorflow.proto.SummaryMetadataOrBuilder: Longform readable description of the summary sequence.
getSummaryOrBuilder() - Method in class org.tensorflow.proto.Event.Builder: A summary was generated.
getSummaryOrBuilder() - Method in class org.tensorflow.proto.Event: A summary was generated.
getSummaryOrBuilder() - Method in interface org.tensorflow.proto.EventOrBuilder: A summary was generated.
getSummationMethod() - Method in class org.tensorflow.framework.metrics.AUC
getSumSquares() - Method in class org.tensorflow.proto.HistogramProto.Builder: double sum_squares = 5;
getSumSquares() - Method in class org.tensorflow.proto.HistogramProto: double sum_squares = 5;
getSumSquares() - Method in interface org.tensorflow.proto.HistogramProtoOrBuilder: double sum_squares = 5;
getSupportedAnnotationTypes() - Method in class org.tensorflow.generator.op.processor.OperatorProcessor
getSupportedSourceVersion() - Method in class org.tensorflow.generator.op.processor.OperatorProcessor
getSwapMemory() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Whether GPU-CPU memory swap is enabled for this loop.
getSwapMemory() - Method in class org.tensorflow.proto.WhileContextDef: Whether GPU-CPU memory swap is enabled for this loop.
getSwapMemory() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Whether GPU-CPU memory swap is enabled for this loop.
getSymbolicCheckpoint() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool symbolic_checkpoint = 8;
getSymbolicCheckpoint() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: bool symbolic_checkpoint = 8;
getSymbolicCheckpoint() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: bool symbolic_checkpoint = 8;
getSynchronization() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.VariableSynchronization synchronization = 4;
getSynchronization() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: .tensorflow.VariableSynchronization synchronization = 4;
getSynchronization() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: .tensorflow.VariableSynchronization synchronization = 4;
getSynchronization() - Method in class org.tensorflow.proto.VariableDef.Builder: Indicates when a distributed variable will be synced.
getSynchronization() - Method in class org.tensorflow.proto.VariableDef: Indicates when a distributed variable will be synced.
getSynchronization() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Indicates when a distributed variable will be synced.
getSynchronizationValue() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.VariableSynchronization synchronization = 4;
getSynchronizationValue() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: .tensorflow.VariableSynchronization synchronization = 4;
getSynchronizationValue() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: .tensorflow.VariableSynchronization synchronization = 4;
getSynchronizationValue() - Method in class org.tensorflow.proto.VariableDef.Builder: Indicates when a distributed variable will be synced.
getSynchronizationValue() - Method in class org.tensorflow.proto.VariableDef: Indicates when a distributed variable will be synced.
getSynchronizationValue() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Indicates when a distributed variable will be synced.
getSystem() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
getSystem() - Method in class org.tensorflow.proto.PlatformInfo: e.g.
getSystem() - Method in interface org.tensorflow.proto.PlatformInfoOrBuilder: e.g.
getSystemBytes() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
getSystemBytes() - Method in class org.tensorflow.proto.PlatformInfo: e.g.
getSystemBytes() - Method in interface org.tensorflow.proto.PlatformInfoOrBuilder: e.g.
getTag() - Method in class org.tensorflow.proto.Summary.Value.Builder: Tag name for the data.
getTag() - Method in class org.tensorflow.proto.Summary.Value: Tag name for the data.
getTag() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: Tag name for the data.
getTag() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder: Tag name associated with this metadata.
getTag() - Method in class org.tensorflow.proto.TaggedRunMetadata: Tag name associated with this metadata.
getTag() - Method in interface org.tensorflow.proto.TaggedRunMetadataOrBuilder: Tag name associated with this metadata.
getTagBytes() - Method in class org.tensorflow.proto.Summary.Value.Builder: Tag name for the data.
getTagBytes() - Method in class org.tensorflow.proto.Summary.Value: Tag name for the data.
getTagBytes() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: Tag name for the data.
getTagBytes() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder: Tag name associated with this metadata.
getTagBytes() - Method in class org.tensorflow.proto.TaggedRunMetadata: Tag name associated with this metadata.
getTagBytes() - Method in interface org.tensorflow.proto.TaggedRunMetadataOrBuilder: Tag name associated with this metadata.
getTaggedRunMetadata() - Method in class org.tensorflow.proto.Event.Builder: The metadata returned by running a session.run() call.
getTaggedRunMetadata() - Method in class org.tensorflow.proto.Event: The metadata returned by running a session.run() call.
getTaggedRunMetadata() - Method in interface org.tensorflow.proto.EventOrBuilder: The metadata returned by running a session.run() call.
getTaggedRunMetadataBuilder() - Method in class org.tensorflow.proto.Event.Builder: The metadata returned by running a session.run() call.
getTaggedRunMetadataOrBuilder() - Method in class org.tensorflow.proto.Event.Builder: The metadata returned by running a session.run() call.
getTaggedRunMetadataOrBuilder() - Method in class org.tensorflow.proto.Event: The metadata returned by running a session.run() call.
getTaggedRunMetadataOrBuilder() - Method in interface org.tensorflow.proto.EventOrBuilder: The metadata returned by running a session.run() call.
getTags(int) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
getTags(int) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: User supplied tag(s) on the meta_graph and included graph_def.
getTags(int) - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsBytes(int) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsBytes(int) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: User supplied tag(s) on the meta_graph and included graph_def.
getTagsBytes(int) - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsCount() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsCount() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: User supplied tag(s) on the meta_graph and included graph_def.
getTagsCount() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsList() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
getTagsList() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: User supplied tag(s) on the meta_graph and included graph_def.
getTagsList() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: User supplied tag(s) on the meta_graph and included graph_def.
getTarget() - Method in class org.tensorflow.proto.TestResults.Builder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
getTarget() - Method in class org.tensorflow.proto.TestResults: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
getTarget() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
getTarget(int) - Method in class org.tensorflow.proto.CallableOptions.Builder: Target Nodes.
getTarget(int) - Method in class org.tensorflow.proto.CallableOptions: Target Nodes.
getTarget(int) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Target Nodes.
getTargetBytes() - Method in class org.tensorflow.proto.TestResults.Builder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
getTargetBytes() - Method in class org.tensorflow.proto.TestResults: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
getTargetBytes() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
getTargetBytes(int) - Method in class org.tensorflow.proto.CallableOptions.Builder: Target Nodes.
getTargetBytes(int) - Method in class org.tensorflow.proto.CallableOptions: Target Nodes.
getTargetBytes(int) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Target Nodes.
getTargetCount() - Method in class org.tensorflow.proto.CallableOptions.Builder: Target Nodes.
getTargetCount() - Method in class org.tensorflow.proto.CallableOptions: Target Nodes.
getTargetCount() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Target Nodes.
getTargetGpu() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, TFRT will use GPU specific compiler passes and perform GPU specific initialization.
getTargetGpu() - Method in class org.tensorflow.proto.ConfigProto.Experimental: If true, TFRT will use GPU specific compiler passes and perform GPU specific initialization.
getTargetGpu() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: If true, TFRT will use GPU specific compiler passes and perform GPU specific initialization.
getTargetList() - Method in class org.tensorflow.proto.CallableOptions.Builder: Target Nodes.
getTargetList() - Method in class org.tensorflow.proto.CallableOptions: Target Nodes.
getTargetList() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Target Nodes.
getTargetTpu() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, TFRT will use TPU specific compiler passes and perform TPU specific initialization.
getTargetTpu() - Method in class org.tensorflow.proto.ConfigProto.Experimental: If true, TFRT will use TPU specific compiler passes and perform TPU specific initialization.
getTargetTpu() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: If true, TFRT will use TPU specific compiler passes and perform TPU specific initialization.
getTaskIndex() - Method in class org.tensorflow.proto.ServerDef.Builder: The task index of this server in its job.
getTaskIndex() - Method in class org.tensorflow.proto.ServerDef: The task index of this server in its job.
getTaskIndex() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: The task index of this server in its job.
getTasks() - Method in class org.tensorflow.proto.JobDef.Builder: Deprecated.
getTasks() - Method in class org.tensorflow.proto.JobDef: Deprecated.
getTasks() - Method in interface org.tensorflow.proto.JobDefOrBuilder: Deprecated.
getTasks() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: Deprecated.
getTasks() - Method in class org.tensorflow.proto.JobDeviceFilters: Deprecated.
getTasks() - Method in interface org.tensorflow.proto.JobDeviceFiltersOrBuilder: Deprecated.
getTasksCount() - Method in class org.tensorflow.proto.JobDef.Builder
getTasksCount() - Method in class org.tensorflow.proto.JobDef
getTasksCount() - Method in interface org.tensorflow.proto.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
getTasksCount() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
getTasksCount() - Method in class org.tensorflow.proto.JobDeviceFilters
getTasksCount() - Method in interface org.tensorflow.proto.JobDeviceFiltersOrBuilder: Mapping from task ID to task device filters.
getTasksMap() - Method in class org.tensorflow.proto.JobDef.Builder: Mapping from task ID to "hostname:port" string.
getTasksMap() - Method in class org.tensorflow.proto.JobDef: Mapping from task ID to "hostname:port" string.
getTasksMap() - Method in interface org.tensorflow.proto.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
getTasksMap() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
getTasksMap() - Method in class org.tensorflow.proto.JobDeviceFilters: Mapping from task ID to task device filters.
getTasksMap() - Method in interface org.tensorflow.proto.JobDeviceFiltersOrBuilder: Mapping from task ID to task device filters.
getTasksOrDefault(int, String) - Method in class org.tensorflow.proto.JobDef.Builder: Mapping from task ID to "hostname:port" string.
getTasksOrDefault(int, String) - Method in class org.tensorflow.proto.JobDef: Mapping from task ID to "hostname:port" string.
getTasksOrDefault(int, String) - Method in interface org.tensorflow.proto.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
getTasksOrDefault(int, TaskDeviceFilters) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
getTasksOrDefault(int, TaskDeviceFilters) - Method in class org.tensorflow.proto.JobDeviceFilters: Mapping from task ID to task device filters.
getTasksOrDefault(int, TaskDeviceFilters) - Method in interface org.tensorflow.proto.JobDeviceFiltersOrBuilder: Mapping from task ID to task device filters.
getTasksOrThrow(int) - Method in class org.tensorflow.proto.JobDef.Builder: Mapping from task ID to "hostname:port" string.
getTasksOrThrow(int) - Method in class org.tensorflow.proto.JobDef: Mapping from task ID to "hostname:port" string.
getTasksOrThrow(int) - Method in interface org.tensorflow.proto.JobDefOrBuilder: Mapping from task ID to "hostname:port" string.
getTasksOrThrow(int) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
getTasksOrThrow(int) - Method in class org.tensorflow.proto.JobDeviceFilters: Mapping from task ID to task device filters.
getTasksOrThrow(int) - Method in interface org.tensorflow.proto.JobDeviceFiltersOrBuilder: Mapping from task ID to task device filters.
getTempMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: Temp and persistent memory allocated by this node.
getTempMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory: Temp and persistent memory allocated by this node.
getTempMemory() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemoryOrBuilder: Temp and persistent memory allocated by this node.
getTempMemorySize() - Method in class org.tensorflow.proto.MemoryStats.Builder: int64 temp_memory_size = 1;
getTempMemorySize() - Method in class org.tensorflow.proto.MemoryStats: int64 temp_memory_size = 1;
getTempMemorySize() - Method in interface org.tensorflow.proto.MemoryStatsOrBuilder: int64 temp_memory_size = 1;
getTemporaryMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Temporary memory used by this node.
getTemporaryMemorySize() - Method in class org.tensorflow.proto.CostGraphDef.Node: Temporary memory used by this node.
getTemporaryMemorySize() - Method in interface org.tensorflow.proto.CostGraphDef.NodeOrBuilder: Temporary memory used by this node.
getTemporaryMemorySize() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Temporary memory used by this node (in bytes).
getTemporaryMemorySize() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: Temporary memory used by this node (in bytes).
getTemporaryMemorySize() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: Temporary memory used by this node (in bytes).
getTensor() - Method in class org.tensorflow.proto.AttrValue.Builder: "tensor"
getTensor() - Method in class org.tensorflow.proto.AttrValue: "tensor"
getTensor() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "tensor"
getTensor() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Allocated tensor details.
getTensor() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation: Allocated tensor details.
getTensor() - Method in interface org.tensorflow.proto.MemoryLogTensorAllocationOrBuilder: Allocated tensor details.
getTensor() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Output tensor details.
getTensor() - Method in class org.tensorflow.proto.MemoryLogTensorOutput: Output tensor details.
getTensor() - Method in interface org.tensorflow.proto.MemoryLogTensorOutputOrBuilder: Output tensor details.
getTensor() - Method in class org.tensorflow.proto.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensor() - Method in class org.tensorflow.proto.NamedTensorProto: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensor() - Method in interface org.tensorflow.proto.NamedTensorProtoOrBuilder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensor() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
getTensor() - Method in class org.tensorflow.proto.Summary.Value: .tensorflow.TensorProto tensor = 8;
getTensor() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: .tensorflow.TensorProto tensor = 8;
getTensor(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
getTensor(int) - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(tensor)"
getTensor(int) - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(tensor)"
getTensor(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensor(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord: repeated .tensorflow.TensorProto tensor = 1;
getTensor(int) - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecordOrBuilder: repeated .tensorflow.TensorProto tensor = 1;
getTensor(int) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensor(int) - Method in class org.tensorflow.proto.SavedTensorSliceMeta: Each SavedSliceMeta describes the slices for one tensor.
getTensor(int) - Method in interface org.tensorflow.proto.SavedTensorSliceMetaOrBuilder: Each SavedSliceMeta describes the slices for one tensor.
getTensorBuilder() - Method in class org.tensorflow.proto.AttrValue.Builder: "tensor"
getTensorBuilder() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Allocated tensor details.
getTensorBuilder() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Output tensor details.
getTensorBuilder() - Method in class org.tensorflow.proto.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensorBuilder() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
getTensorBuilder(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
getTensorBuilder(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensorBuilder(int) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensorBuilderList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
getTensorBuilderList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensorBuilderList() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensorConnection(int) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnection(int) - Method in class org.tensorflow.proto.CallableOptions: Tensors to be connected in the callable.
getTensorConnection(int) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorConnectionBuilder(int) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionBuilderList() - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionCount() - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionCount() - Method in class org.tensorflow.proto.CallableOptions: Tensors to be connected in the callable.
getTensorConnectionCount() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorConnectionList() - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionList() - Method in class org.tensorflow.proto.CallableOptions: Tensors to be connected in the callable.
getTensorConnectionList() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorConnectionOrBuilder(int) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionOrBuilder(int) - Method in class org.tensorflow.proto.CallableOptions: Tensors to be connected in the callable.
getTensorConnectionOrBuilder(int) - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorConnectionOrBuilderList() - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
getTensorConnectionOrBuilderList() - Method in class org.tensorflow.proto.CallableOptions: Tensors to be connected in the callable.
getTensorConnectionOrBuilderList() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Tensors to be connected in the callable.
getTensorContent() - Method in class org.tensorflow.proto.TensorProto.Builder: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
getTensorContent() - Method in class org.tensorflow.proto.TensorProto: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
getTensorContent() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
getTensorContent(int) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
getTensorContent(int) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra: repeated bytes tensor_content = 1;
getTensorContent(int) - Method in interface org.tensorflow.proto.TransportOptions.RecvBufRespExtraOrBuilder: repeated bytes tensor_content = 1;
getTensorContentCount() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
getTensorContentCount() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra: repeated bytes tensor_content = 1;
getTensorContentCount() - Method in interface org.tensorflow.proto.TransportOptions.RecvBufRespExtraOrBuilder: repeated bytes tensor_content = 1;
getTensorContentList() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
getTensorContentList() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra: repeated bytes tensor_content = 1;
getTensorContentList() - Method in interface org.tensorflow.proto.TransportOptions.RecvBufRespExtraOrBuilder: repeated bytes tensor_content = 1;
getTensorCount() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
getTensorCount() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(tensor)"
getTensorCount() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(tensor)"
getTensorCount() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensorCount() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord: repeated .tensorflow.TensorProto tensor = 1;
getTensorCount() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecordOrBuilder: repeated .tensorflow.TensorProto tensor = 1;
getTensorCount() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensorCount() - Method in class org.tensorflow.proto.SavedTensorSliceMeta: Each SavedSliceMeta describes the slices for one tensor.
getTensorCount() - Method in interface org.tensorflow.proto.SavedTensorSliceMetaOrBuilder: Each SavedSliceMeta describes the slices for one tensor.
getTensorDebugMode() - Method in class org.tensorflow.proto.Execution.Builder: Type of the tensor value encapsulated in this proto.
getTensorDebugMode() - Method in class org.tensorflow.proto.Execution: Type of the tensor value encapsulated in this proto.
getTensorDebugMode() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Type of the tensor value encapsulated in this proto.
getTensorDebugMode() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Type of the tensor value encapsulated in this proto.
getTensorDebugMode() - Method in class org.tensorflow.proto.GraphExecutionTrace: Type of the tensor value encapsulated in this proto.
getTensorDebugMode() - Method in interface org.tensorflow.proto.GraphExecutionTraceOrBuilder: Type of the tensor value encapsulated in this proto.
getTensorDebugModeValue() - Method in class org.tensorflow.proto.Execution.Builder: Type of the tensor value encapsulated in this proto.
getTensorDebugModeValue() - Method in class org.tensorflow.proto.Execution: Type of the tensor value encapsulated in this proto.
getTensorDebugModeValue() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Type of the tensor value encapsulated in this proto.
getTensorDebugModeValue() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Type of the tensor value encapsulated in this proto.
getTensorDebugModeValue() - Method in class org.tensorflow.proto.GraphExecutionTrace: Type of the tensor value encapsulated in this proto.
getTensorDebugModeValue() - Method in interface org.tensorflow.proto.GraphExecutionTraceOrBuilder: Type of the tensor value encapsulated in this proto.
getTensorDescription() - Method in class org.tensorflow.proto.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescription() - Method in class org.tensorflow.proto.NodeOutput: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescription() - Method in interface org.tensorflow.proto.NodeOutputOrBuilder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescriptionBuilder() - Method in class org.tensorflow.proto.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescriptionOrBuilder() - Method in class org.tensorflow.proto.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescriptionOrBuilder() - Method in class org.tensorflow.proto.NodeOutput: .tensorflow.TensorDescription tensor_description = 3;
getTensorDescriptionOrBuilder() - Method in interface org.tensorflow.proto.NodeOutputOrBuilder: .tensorflow.TensorDescription tensor_description = 3;
getTensorDtypeValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents an enum value for dtype.
getTensorDtypeValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents an enum value for dtype.
getTensorDtypeValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents an enum value for dtype.
getTensorDtypeValueValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents an enum value for dtype.
getTensorDtypeValueValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents an enum value for dtype.
getTensorDtypeValueValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents an enum value for dtype.
getTensorflowGitVersion() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersion() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersion() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersionBytes() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersionBytes() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: The __git_version__ string of the tensorflow build used to write this graph.
getTensorflowGitVersionBytes() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: The __git_version__ string of the tensorflow build used to write this graph.
getTensorFlowName() - Method in enum org.tensorflow.framework.activations.Activations: Gets the activation name as known to the TensorFlow engine.
getTensorflowVersion() - Method in class org.tensorflow.proto.DebugMetadata.Builder: Version of TensorFlow.
getTensorflowVersion() - Method in class org.tensorflow.proto.DebugMetadata: Version of TensorFlow.
getTensorflowVersion() - Method in interface org.tensorflow.proto.DebugMetadataOrBuilder: Version of TensorFlow.
getTensorflowVersion() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersion() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersion() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersionBytes() - Method in class org.tensorflow.proto.DebugMetadata.Builder: Version of TensorFlow.
getTensorflowVersionBytes() - Method in class org.tensorflow.proto.DebugMetadata: Version of TensorFlow.
getTensorflowVersionBytes() - Method in interface org.tensorflow.proto.DebugMetadataOrBuilder: Version of TensorFlow.
getTensorflowVersionBytes() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersionBytes() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: The __version__ string of the tensorflow build used to write this graph.
getTensorflowVersionBytes() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: The __version__ string of the tensorflow build used to write this graph.
getTensorInfo() - Method in class org.tensorflow.proto.AssetFileDef.Builder: The tensor to bind the asset filename to.
getTensorInfo() - Method in class org.tensorflow.proto.AssetFileDef: The tensor to bind the asset filename to.
getTensorInfo() - Method in interface org.tensorflow.proto.AssetFileDefOrBuilder: The tensor to bind the asset filename to.
getTensorInfoBuilder() - Method in class org.tensorflow.proto.AssetFileDef.Builder: The tensor to bind the asset filename to.
getTensorInfoOrBuilder() - Method in class org.tensorflow.proto.AssetFileDef.Builder: The tensor to bind the asset filename to.
getTensorInfoOrBuilder() - Method in class org.tensorflow.proto.AssetFileDef: The tensor to bind the asset filename to.
getTensorInfoOrBuilder() - Method in interface org.tensorflow.proto.AssetFileDefOrBuilder: The tensor to bind the asset filename to.
getTensorList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
getTensorList() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(tensor)"
getTensorList() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(tensor)"
getTensorList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensorList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord: repeated .tensorflow.TensorProto tensor = 1;
getTensorList() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecordOrBuilder: repeated .tensorflow.TensorProto tensor = 1;
getTensorList() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensorList() - Method in class org.tensorflow.proto.SavedTensorSliceMeta: Each SavedSliceMeta describes the slices for one tensor.
getTensorList() - Method in interface org.tensorflow.proto.SavedTensorSliceMetaOrBuilder: Each SavedSliceMeta describes the slices for one tensor.
getTensorMetadata(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadata(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadata(int) - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadataOrBuilder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataBuilder(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataBuilderList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataCount() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataCount() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataCount() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadataOrBuilder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataList() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadataOrBuilder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataOrBuilder(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataOrBuilder(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataOrBuilder(int) - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadataOrBuilder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataOrBuilderList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataOrBuilderList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorMetadataOrBuilderList() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadataOrBuilder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
getTensorOrBuilder() - Method in class org.tensorflow.proto.AttrValue.Builder: "tensor"
getTensorOrBuilder() - Method in class org.tensorflow.proto.AttrValue: "tensor"
getTensorOrBuilder() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "tensor"
getTensorOrBuilder() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Allocated tensor details.
getTensorOrBuilder() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation: Allocated tensor details.
getTensorOrBuilder() - Method in interface org.tensorflow.proto.MemoryLogTensorAllocationOrBuilder: Allocated tensor details.
getTensorOrBuilder() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Output tensor details.
getTensorOrBuilder() - Method in class org.tensorflow.proto.MemoryLogTensorOutput: Output tensor details.
getTensorOrBuilder() - Method in interface org.tensorflow.proto.MemoryLogTensorOutputOrBuilder: Output tensor details.
getTensorOrBuilder() - Method in class org.tensorflow.proto.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensorOrBuilder() - Method in class org.tensorflow.proto.NamedTensorProto: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensorOrBuilder() - Method in interface org.tensorflow.proto.NamedTensorProtoOrBuilder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
getTensorOrBuilder() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder() - Method in class org.tensorflow.proto.Summary.Value: .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: .tensorflow.TensorProto tensor = 8;
getTensorOrBuilder(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
getTensorOrBuilder(int) - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(tensor)"
getTensorOrBuilder(int) - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(tensor)"
getTensorOrBuilder(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensorOrBuilder(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord: repeated .tensorflow.TensorProto tensor = 1;
getTensorOrBuilder(int) - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecordOrBuilder: repeated .tensorflow.TensorProto tensor = 1;
getTensorOrBuilder(int) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensorOrBuilder(int) - Method in class org.tensorflow.proto.SavedTensorSliceMeta: Each SavedSliceMeta describes the slices for one tensor.
getTensorOrBuilder(int) - Method in interface org.tensorflow.proto.SavedTensorSliceMetaOrBuilder: Each SavedSliceMeta describes the slices for one tensor.
getTensorOrBuilderList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
getTensorOrBuilderList() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(tensor)"
getTensorOrBuilderList() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(tensor)"
getTensorOrBuilderList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
getTensorOrBuilderList() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord: repeated .tensorflow.TensorProto tensor = 1;
getTensorOrBuilderList() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecordOrBuilder: repeated .tensorflow.TensorProto tensor = 1;
getTensorOrBuilderList() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
getTensorOrBuilderList() - Method in class org.tensorflow.proto.SavedTensorSliceMeta: Each SavedSliceMeta describes the slices for one tensor.
getTensorOrBuilderList() - Method in interface org.tensorflow.proto.SavedTensorSliceMetaOrBuilder: Each SavedSliceMeta describes the slices for one tensor.
getTensorProto() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
getTensorProto() - Method in class org.tensorflow.proto.GraphExecutionTrace: Tensor value in the type described by `tensor_value_type`.
getTensorProto() - Method in interface org.tensorflow.proto.GraphExecutionTraceOrBuilder: Tensor value in the type described by `tensor_value_type`.
getTensorProtoBuilder() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
getTensorProtoOrBuilder() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
getTensorProtoOrBuilder() - Method in class org.tensorflow.proto.GraphExecutionTrace: Tensor value in the type described by `tensor_value_type`.
getTensorProtoOrBuilder() - Method in interface org.tensorflow.proto.GraphExecutionTraceOrBuilder: Tensor value in the type described by `tensor_value_type`.
getTensorProtos(int) - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtos(int) - Method in class org.tensorflow.proto.Execution: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtos(int) - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosBuilder(int) - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosBuilderList() - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosCount() - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosCount() - Method in class org.tensorflow.proto.Execution: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosCount() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosList() - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosList() - Method in class org.tensorflow.proto.Execution: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosList() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosOrBuilder(int) - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosOrBuilder(int) - Method in class org.tensorflow.proto.Execution: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosOrBuilder(int) - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosOrBuilderList() - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosOrBuilderList() - Method in class org.tensorflow.proto.Execution: Output Tensor values in the type described by `tensor_value_type`.
getTensorProtosOrBuilderList() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Output Tensor values in the type described by `tensor_value_type`.
getTensors(int) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensors(int) - Method in class org.tensorflow.proto.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensors(int) - Method in interface org.tensorflow.proto.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorsBuilder(int) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsBuilderList() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsCount() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsCount() - Method in class org.tensorflow.proto.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensorsCount() - Method in interface org.tensorflow.proto.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorShape() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The shape of the component tensor.
getTensorShape() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata: The shape of the component tensor.
getTensorShape() - Method in interface org.tensorflow.proto.data.Dataset.CompressedComponentMetadataOrBuilder: The shape of the component tensor.
getTensorShape() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShape() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShape() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.TensorMetadataOrBuilder: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShape() - Method in class org.tensorflow.proto.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShape() - Method in class org.tensorflow.proto.TensorInfo: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShape() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShape() - Method in class org.tensorflow.proto.TensorProto.Builder: Shape of the tensor.
getTensorShape() - Method in class org.tensorflow.proto.TensorProto: Shape of the tensor.
getTensorShape() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: Shape of the tensor.
getTensorShapeBuilder() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The shape of the component tensor.
getTensorShapeBuilder() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShapeBuilder() - Method in class org.tensorflow.proto.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShapeBuilder() - Method in class org.tensorflow.proto.TensorProto.Builder: Shape of the tensor.
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The shape of the component tensor.
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata: The shape of the component tensor.
getTensorShapeOrBuilder() - Method in interface org.tensorflow.proto.data.Dataset.CompressedComponentMetadataOrBuilder: The shape of the component tensor.
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShapeOrBuilder() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.TensorMetadataOrBuilder: .tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.TensorInfo: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShapeOrBuilder() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: The static shape should be recorded here, to the extent that it can be known in advance.
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.TensorProto.Builder: Shape of the tensor.
getTensorShapeOrBuilder() - Method in class org.tensorflow.proto.TensorProto: Shape of the tensor.
getTensorShapeOrBuilder() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: Shape of the tensor.
getTensorShapeValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a TensorShape.
getTensorShapeValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a TensorShape.
getTensorShapeValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a TensorShape.
getTensorShapeValueBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a TensorShape.
getTensorShapeValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a TensorShape.
getTensorShapeValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a TensorShape.
getTensorShapeValueOrBuilder() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a TensorShape.
getTensorSizeBytes() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder: Number of uncompressed bytes used to store the tensor representation.
getTensorSizeBytes() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata: Number of uncompressed bytes used to store the tensor representation.
getTensorSizeBytes() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.TensorMetadataOrBuilder: Number of uncompressed bytes used to store the tensor representation.
getTensorsList() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsList() - Method in class org.tensorflow.proto.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensorsList() - Method in interface org.tensorflow.proto.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorsOrBuilder(int) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsOrBuilder(int) - Method in class org.tensorflow.proto.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensorsOrBuilder(int) - Method in interface org.tensorflow.proto.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorsOrBuilderList() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
getTensorsOrBuilderList() - Method in class org.tensorflow.proto.VariantTensorDataProto: Tensors contained within objects being serialized.
getTensorsOrBuilderList() - Method in interface org.tensorflow.proto.VariantTensorDataProtoOrBuilder: Tensors contained within objects being serialized.
getTensorSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TensorSpec.
getTensorSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for tf.TensorSpec.
getTensorSpecValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for tf.TensorSpec.
getTensorSpecValueBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TensorSpec.
getTensorSpecValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TensorSpec.
getTensorSpecValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for tf.TensorSpec.
getTensorSpecValueOrBuilder() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for tf.TensorSpec.
getTensorValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.Tensor.
getTensorValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for tf.Tensor.
getTensorValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for tf.Tensor.
getTensorValueBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.Tensor.
getTensorValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.Tensor.
getTensorValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for tf.Tensor.
getTensorValueOrBuilder() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for tf.Tensor.
getTF() - Method in class org.tensorflow.framework.activations.AbstractActivation: Gets the TensorFlow Ops
getTF() - Method in class org.tensorflow.framework.metrics.BaseMetric: Gets the TensorFlow Ops for this metric
getTF() - Method in class org.tensorflow.framework.optimizers.Optimizer: Gets the Optimizer's Ops instance
getTfdbgContextId() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
getTfdbgContextId() - Method in class org.tensorflow.proto.GraphExecutionTrace: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
getTfdbgContextId() - Method in interface org.tensorflow.proto.GraphExecutionTraceOrBuilder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
getTfdbgContextIdBytes() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
getTfdbgContextIdBytes() - Method in class org.tensorflow.proto.GraphExecutionTrace: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
getTfdbgContextIdBytes() - Method in interface org.tensorflow.proto.GraphExecutionTraceOrBuilder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
getTfdbgRunId() - Method in class org.tensorflow.proto.DebugMetadata.Builder: A unique ID for the current run of tfdbg.
getTfdbgRunId() - Method in class org.tensorflow.proto.DebugMetadata: A unique ID for the current run of tfdbg.
getTfdbgRunId() - Method in interface org.tensorflow.proto.DebugMetadataOrBuilder: A unique ID for the current run of tfdbg.
getTfdbgRunIdBytes() - Method in class org.tensorflow.proto.DebugMetadata.Builder: A unique ID for the current run of tfdbg.
getTfdbgRunIdBytes() - Method in class org.tensorflow.proto.DebugMetadata: A unique ID for the current run of tfdbg.
getTfdbgRunIdBytes() - Method in interface org.tensorflow.proto.DebugMetadataOrBuilder: A unique ID for the current run of tfdbg.
getTfrtUseIfrt() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, use ifrt as the backend for TFRT.
getTfrtUseIfrt() - Method in class org.tensorflow.proto.ConfigProto.Experimental: If true, use ifrt as the backend for TFRT.
getTfrtUseIfrt() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: If true, use ifrt as the backend for TFRT.
getTfVersion() - Method in class org.tensorflow.proto.TestResults.Builder: TensorFlow version this benchmark runs against.
getTfVersion() - Method in class org.tensorflow.proto.TestResults: TensorFlow version this benchmark runs against.
getTfVersion() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: TensorFlow version this benchmark runs against.
getTfVersionBytes() - Method in class org.tensorflow.proto.TestResults.Builder: TensorFlow version this benchmark runs against.
getTfVersionBytes() - Method in class org.tensorflow.proto.TestResults: TensorFlow version this benchmark runs against.
getTfVersionBytes() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: TensorFlow version this benchmark runs against.
getThreadId() - Method in class org.tensorflow.proto.NodeExecStats.Builder: uint32 thread_id = 10;
getThreadId() - Method in class org.tensorflow.proto.NodeExecStats: uint32 thread_id = 10;
getThreadId() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: uint32 thread_id = 10;
getThreadingOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The threading options associated with the dataset.
getThreadingOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The threading options associated with the dataset.
getThreadingOptions() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The threading options associated with the dataset.
getThreadingOptionsBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The threading options associated with the dataset.
getThreadingOptionsOrBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The threading options associated with the dataset.
getThreadingOptionsOrBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The threading options associated with the dataset.
getThreadingOptionsOrBuilder() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The threading options associated with the dataset.
getThreadNames() - Method in class org.tensorflow.proto.DeviceStepStats.Builder: Deprecated.
getThreadNames() - Method in class org.tensorflow.proto.DeviceStepStats: Deprecated.
getThreadNames() - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: Deprecated.
getThreadNamesCount() - Method in class org.tensorflow.proto.DeviceStepStats.Builder
getThreadNamesCount() - Method in class org.tensorflow.proto.DeviceStepStats
getThreadNamesCount() - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: Its key is thread id.
getThreadNamesMap() - Method in class org.tensorflow.proto.DeviceStepStats.Builder: Its key is thread id.
getThreadNamesMap() - Method in class org.tensorflow.proto.DeviceStepStats: Its key is thread id.
getThreadNamesMap() - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: Its key is thread id.
getThreadNamesOrDefault(int, String) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: Its key is thread id.
getThreadNamesOrDefault(int, String) - Method in class org.tensorflow.proto.DeviceStepStats: Its key is thread id.
getThreadNamesOrDefault(int, String) - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: Its key is thread id.
getThreadNamesOrThrow(int) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: Its key is thread id.
getThreadNamesOrThrow(int) - Method in class org.tensorflow.proto.DeviceStepStats: Its key is thread id.
getThreadNamesOrThrow(int) - Method in interface org.tensorflow.proto.DeviceStepStatsOrBuilder: Its key is thread id.
getThreshold() - Method in class org.tensorflow.framework.activations.ReLU: Gets the saturation threshold (the largest value the function will return).
getThresholds() - Method in class org.tensorflow.framework.metrics.AUC
getThresholds() - Method in class org.tensorflow.framework.metrics.FalseNegatives: get the thresholds
getThresholds() - Method in class org.tensorflow.framework.metrics.FalsePositives: get the thresholds
getThresholds() - Method in class org.tensorflow.framework.metrics.TrueNegatives: get the thresholds
getThresholds() - Method in class org.tensorflow.framework.metrics.TruePositives: get the thresholds
getThresholds() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the thresholds
getThresholds() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the thresholds
getThresholds() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the thresholds
getThresholds() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the thresholds
getThresholds() - Method in class org.tensorflow.framework.metrics.Precision: Gets the thresholds
getThresholds() - Method in class org.tensorflow.framework.metrics.Recall: Gets the thresholds
getThroughput() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Throughput (in MB/s)
getThroughput() - Method in class org.tensorflow.proto.BenchmarkEntry: Throughput (in MB/s)
getThroughput() - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Throughput (in MB/s)
getTimelineLabel() - Method in class org.tensorflow.proto.NodeExecStats.Builder: string timeline_label = 8;
getTimelineLabel() - Method in class org.tensorflow.proto.NodeExecStats: string timeline_label = 8;
getTimelineLabel() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: string timeline_label = 8;
getTimelineLabelBytes() - Method in class org.tensorflow.proto.NodeExecStats.Builder: string timeline_label = 8;
getTimelineLabelBytes() - Method in class org.tensorflow.proto.NodeExecStats: string timeline_label = 8;
getTimelineLabelBytes() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: string timeline_label = 8;
getTimelineStep() - Method in class org.tensorflow.proto.GraphOptions.Builder: If > 0, record a timeline every this many steps.
getTimelineStep() - Method in class org.tensorflow.proto.GraphOptions: If > 0, record a timeline every this many steps.
getTimelineStep() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: If > 0, record a timeline every this many steps.
getTimeoutInMs() - Method in class org.tensorflow.proto.RunOptions.Builder: Time to wait for operation to complete in milliseconds.
getTimeoutInMs() - Method in class org.tensorflow.proto.RunOptions: Time to wait for operation to complete in milliseconds.
getTimeoutInMs() - Method in interface org.tensorflow.proto.RunOptionsOrBuilder: Time to wait for operation to complete in milliseconds.
getTimeoutMs() - Method in class org.tensorflow.proto.WatchdogConfig.Builder: int64 timeout_ms = 1;
getTimeoutMs() - Method in class org.tensorflow.proto.WatchdogConfig: int64 timeout_ms = 1;
getTimeoutMs() - Method in interface org.tensorflow.proto.WatchdogConfigOrBuilder: int64 timeout_ms = 1;
getTimestampedAllocator() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
getTimestampedAllocator() - Method in class org.tensorflow.proto.GPUOptions.Experimental: If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
getTimestampedAllocator() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
getTimestampNs() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Start time of this line in nanoseconds since the UNIX epoch.
getTimestampNs() - Method in class org.tensorflow.proto.profiler.Xplane.XLine: Start time of this line in nanoseconds since the UNIX epoch.
getTimestampNs() - Method in interface org.tensorflow.proto.profiler.Xplane.XLineOrBuilder: Start time of this line in nanoseconds since the UNIX epoch.
getTolerateDebugOpCreationFailures() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
getTolerateDebugOpCreationFailures() - Method in class org.tensorflow.proto.DebugTensorWatch: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
getTolerateDebugOpCreationFailures() - Method in interface org.tensorflow.proto.DebugTensorWatchOrBuilder: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
getTopK() - Method in class org.tensorflow.framework.metrics.Precision: Gets the topK value, may be null
getTopK() - Method in class org.tensorflow.framework.metrics.Recall: Gets the topK value
getTotal() - Method in class org.tensorflow.framework.metrics.Accuracy: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.BinaryAccuracy: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.BinaryCrossentropy: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.CategoricalAccuracy: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.CategoricalCrossentropy: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.CategoricalHinge: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.CosineSimilarity: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.Hinge: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.KLDivergence: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.LogCoshError: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.Mean: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.MeanAbsoluteError: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.MeanRelativeError: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.MeanSquaredError: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.Poisson: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.RootMeanSquaredError: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.SquaredHinge: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.Sum: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Gets the total variable
getTotal() - Method in class org.tensorflow.framework.metrics.MeanTensor
getTotal() - Method in class org.tensorflow.proto.MemoryInfo.Builder: Total virtual memory in bytes
getTotal() - Method in class org.tensorflow.proto.MemoryInfo: Total virtual memory in bytes
getTotal() - Method in interface org.tensorflow.proto.MemoryInfoOrBuilder: Total virtual memory in bytes
getTotalBytes() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: These are per-node allocator memory stats.
getTotalBytes() - Method in class org.tensorflow.proto.AllocatorMemoryUsed: These are per-node allocator memory stats.
getTotalBytes() - Method in interface org.tensorflow.proto.AllocatorMemoryUsedOrBuilder: These are per-node allocator memory stats.
getTotalBytesInBin() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int64 total_bytes_in_bin = 3;
getTotalBytesInBin() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary: int64 total_bytes_in_bin = 3;
getTotalBytesInBin() - Method in interface org.tensorflow.proto.BfcMemoryMap.BinSummaryOrBuilder: int64 total_bytes_in_bin = 3;
getTotalBytesInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int64 total_bytes_in_use = 2;
getTotalBytesInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary: int64 total_bytes_in_use = 2;
getTotalBytesInUse() - Method in interface org.tensorflow.proto.BfcMemoryMap.BinSummaryOrBuilder: int64 total_bytes_in_use = 2;
getTotalChunksInBin() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int64 total_chunks_in_bin = 5;
getTotalChunksInBin() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary: int64 total_chunks_in_bin = 5;
getTotalChunksInBin() - Method in interface org.tensorflow.proto.BfcMemoryMap.BinSummaryOrBuilder: int64 total_chunks_in_bin = 5;
getTotalChunksInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int64 total_chunks_in_use = 4;
getTotalChunksInUse() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary: int64 total_chunks_in_use = 4;
getTotalChunksInUse() - Method in interface org.tensorflow.proto.BfcMemoryMap.BinSummaryOrBuilder: int64 total_chunks_in_use = 4;
getToTensor() - Method in class org.tensorflow.proto.TensorConnection.Builder: A tensor name.
getToTensor() - Method in class org.tensorflow.proto.TensorConnection: A tensor name.
getToTensor() - Method in interface org.tensorflow.proto.TensorConnectionOrBuilder: A tensor name.
getToTensorBytes() - Method in class org.tensorflow.proto.TensorConnection.Builder: A tensor name.
getToTensorBytes() - Method in class org.tensorflow.proto.TensorConnection: A tensor name.
getToTensorBytes() - Method in interface org.tensorflow.proto.TensorConnectionOrBuilder: A tensor name.
getTpuTaskId() - Method in class org.tensorflow.op.TpuOps: An op returns the TPU task ID from TPU topology.
GetTpuTaskId - Class in org.tensorflow.op.tpu: An op returns the TPU task ID from TPU topology.
GetTpuTaskId(Operation) - Constructor for class org.tensorflow.op.tpu.GetTpuTaskId
GetTpuTaskId.Inputs - Class in org.tensorflow.op.tpu
getTraceLevel() - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevel() - Method in class org.tensorflow.proto.RunOptions: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevel() - Method in interface org.tensorflow.proto.RunOptionsOrBuilder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevelValue() - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevelValue() - Method in class org.tensorflow.proto.RunOptions: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraceLevelValue() - Method in interface org.tensorflow.proto.RunOptionsOrBuilder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
getTraces() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
getTraces() - Method in class org.tensorflow.proto.GraphDebugInfo: Deprecated.
getTraces() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Deprecated.
getTracesById() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
getTracesById() - Method in class org.tensorflow.proto.GraphDebugInfo: Deprecated.
getTracesById() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Deprecated.
getTracesByIdCount() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
getTracesByIdCount() - Method in class org.tensorflow.proto.GraphDebugInfo
getTracesByIdCount() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
getTracesByIdMap() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
getTracesByIdMap() - Method in class org.tensorflow.proto.GraphDebugInfo: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
getTracesByIdMap() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
getTracesByIdOrDefault(long, GraphDebugInfo.StackTrace) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
getTracesByIdOrDefault(long, GraphDebugInfo.StackTrace) - Method in class org.tensorflow.proto.GraphDebugInfo: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
getTracesByIdOrDefault(long, GraphDebugInfo.StackTrace) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
getTracesByIdOrThrow(long) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
getTracesByIdOrThrow(long) - Method in class org.tensorflow.proto.GraphDebugInfo: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
getTracesByIdOrThrow(long) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
getTracesCount() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
getTracesCount() - Method in class org.tensorflow.proto.GraphDebugInfo
getTracesCount() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Deprecated.
getTracesMap() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
getTracesMap() - Method in class org.tensorflow.proto.GraphDebugInfo: Deprecated.
getTracesMap() - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Deprecated.
getTracesOrDefault(String, GraphDebugInfo.StackTrace) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
getTracesOrDefault(String, GraphDebugInfo.StackTrace) - Method in class org.tensorflow.proto.GraphDebugInfo: Deprecated.
getTracesOrDefault(String, GraphDebugInfo.StackTrace) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Deprecated.
getTracesOrThrow(String) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
getTracesOrThrow(String) - Method in class org.tensorflow.proto.GraphDebugInfo: Deprecated.
getTracesOrThrow(String) - Method in interface org.tensorflow.proto.GraphDebugInfoOrBuilder: Deprecated.
getTrainable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: bool trainable = 3;
getTrainable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: bool trainable = 3;
getTrainable() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: bool trainable = 3;
getTrainable() - Method in class org.tensorflow.proto.VariableDef.Builder: Whether this variable should be trained.
getTrainable() - Method in class org.tensorflow.proto.VariableDef: Whether this variable should be trained.
getTrainable() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Whether this variable should be trained.
getTrainerId() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder: string trainer_id = 1;
getTrainerId() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions: string trainer_id = 1;
getTrainerId() - Method in interface org.tensorflow.proto.data.DataService.CrossTrainerCacheOptionsOrBuilder: string trainer_id = 1;
getTrainerIdBytes() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder: string trainer_id = 1;
getTrainerIdBytes() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions: string trainer_id = 1;
getTrainerIdBytes() - Method in interface org.tensorflow.proto.data.DataService.CrossTrainerCacheOptionsOrBuilder: string trainer_id = 1;
getTrueNegatives() - Method in class org.tensorflow.framework.metrics.AUC
getTrueNegatives() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the trueNegatives variable
getTrueNegatives() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the trueNegatives variable
getTrueNegatives() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the trueNegatives variable
getTrueNegatives() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the trueNegatives variable
getTrueNegativesName() - Method in class org.tensorflow.framework.metrics.AUC
getTrueNegativesName() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the trueNegatives variable name
getTrueNegativesName() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the trueNegatives variable name
getTrueNegativesName() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the trueNegatives variable name
getTrueNegativesName() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the trueNegatives variable name
getTruePositives() - Method in class org.tensorflow.framework.metrics.AUC
getTruePositives() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the truePositives variable
getTruePositives() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the truePositives variable
getTruePositives() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the truePositives variable
getTruePositives() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the truePositives variable
getTruePositives() - Method in class org.tensorflow.framework.metrics.Precision: Gets the truePositives variable
getTruePositives() - Method in class org.tensorflow.framework.metrics.Recall: Gets the truePositives variable
getTruePositivesName() - Method in class org.tensorflow.framework.metrics.AUC
getTruePositivesName() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the truePositives variable name
getTruePositivesName() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the truePositives variable name
getTruePositivesName() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the truePositives variable name
getTruePositivesName() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the truePositives variable name
getTruePositivesName() - Method in class org.tensorflow.framework.metrics.Precision: Gets the name of the truePositives variable
getTruePositivesName() - Method in class org.tensorflow.framework.metrics.Recall: Gets the truePositives variable name
getTunable() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Identifies whether the parameter should participate in autotuning.
getTunable() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter: Identifies whether the parameter should participate in autotuning.
getTunable() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.Node.ParameterOrBuilder: Identifies whether the parameter should participate in autotuning.
getTupleValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a tuple of `Value`.
getTupleValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a tuple of `Value`.
getTupleValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a tuple of `Value`.
getTupleValueBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a tuple of `Value`.
getTupleValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a tuple of `Value`.
getTupleValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a tuple of `Value`.
getTupleValueOrBuilder() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a tuple of `Value`.
getType() - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the internalType
getType() - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the internalType
getType() - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the internalType
getType() - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the internalType
getType() - Method in class org.tensorflow.proto.AttrValue.Builder: "type"
getType() - Method in class org.tensorflow.proto.AttrValue: "type"
getType() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "type"
getType() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Device type, e.g.
getType() - Method in class org.tensorflow.proto.AvailableDeviceInfo: Device type, e.g.
getType() - Method in interface org.tensorflow.proto.AvailableDeviceInfoOrBuilder: Device type, e.g.
getType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.FullTypeDef type = 4;
getType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType: .tensorflow.FullTypeDef type = 4;
getType() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndTypeOrBuilder: .tensorflow.FullTypeDef type = 4;
getType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Device type (CPU, GPU, ...)
getType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Device type (CPU, GPU, ...)
getType() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Device type (CPU, GPU, ...)
getType() - Method in class org.tensorflow.proto.InterconnectLink.Builder: string type = 2;
getType() - Method in class org.tensorflow.proto.InterconnectLink: string type = 2;
getType() - Method in interface org.tensorflow.proto.InterconnectLinkOrBuilder: string type = 2;
getType() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getType() - Method in class org.tensorflow.proto.OpDef.ArgDef: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getType() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getType() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getType() - Method in class org.tensorflow.proto.OpDef.AttrDef: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getType() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getType() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Type of the tensor
getType() - Method in class org.tensorflow.proto.SavedSliceMeta: Type of the tensor
getType() - Method in interface org.tensorflow.proto.SavedSliceMetaOrBuilder: Type of the tensor
getType(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(type)"
getType(int) - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(type)"
getType(int) - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(type)"
getTypeAttr() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: if specified, attr must have type "type"
getTypeAttr() - Method in class org.tensorflow.proto.OpDef.ArgDef: if specified, attr must have type "type"
getTypeAttr() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: if specified, attr must have type "type"
getTypeAttrBytes() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: if specified, attr must have type "type"
getTypeAttrBytes() - Method in class org.tensorflow.proto.OpDef.ArgDef: if specified, attr must have type "type"
getTypeAttrBytes() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: if specified, attr must have type "type"
getTypeBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.FullTypeDef type = 4;
getTypeBytes() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Device type, e.g.
getTypeBytes() - Method in class org.tensorflow.proto.AvailableDeviceInfo: Device type, e.g.
getTypeBytes() - Method in interface org.tensorflow.proto.AvailableDeviceInfoOrBuilder: Device type, e.g.
getTypeBytes() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Device type (CPU, GPU, ...)
getTypeBytes() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Device type (CPU, GPU, ...)
getTypeBytes() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Device type (CPU, GPU, ...)
getTypeBytes() - Method in class org.tensorflow.proto.InterconnectLink.Builder: string type = 2;
getTypeBytes() - Method in class org.tensorflow.proto.InterconnectLink: string type = 2;
getTypeBytes() - Method in interface org.tensorflow.proto.InterconnectLinkOrBuilder: string type = 2;
getTypeBytes() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getTypeBytes() - Method in class org.tensorflow.proto.OpDef.AttrDef: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getTypeBytes() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
getTypeCount() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(type)"
getTypeCount() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(type)"
getTypeCount() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(type)"
getTypeHint() - Method in class org.tensorflow.proto.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
getTypeHint() - Method in class org.tensorflow.proto.SummaryDescription: Hint on how plugins should process the data in this series.
getTypeHint() - Method in interface org.tensorflow.proto.SummaryDescriptionOrBuilder: Hint on how plugins should process the data in this series.
getTypeHintBytes() - Method in class org.tensorflow.proto.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
getTypeHintBytes() - Method in class org.tensorflow.proto.SummaryDescription: Hint on how plugins should process the data in this series.
getTypeHintBytes() - Method in interface org.tensorflow.proto.SummaryDescriptionOrBuilder: Hint on how plugins should process the data in this series.
getTypeId() - Method in class org.tensorflow.proto.FullTypeDef.Builder: The principal type represented by this object.
getTypeId() - Method in class org.tensorflow.proto.FullTypeDef: The principal type represented by this object.
getTypeId() - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder: The principal type represented by this object.
getTypeIdValue() - Method in class org.tensorflow.proto.FullTypeDef.Builder: The principal type represented by this object.
getTypeIdValue() - Method in class org.tensorflow.proto.FullTypeDef: The principal type represented by this object.
getTypeIdValue() - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder: The principal type represented by this object.
getTypeList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(type)"
getTypeList() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(type)"
getTypeList() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(type)"
getTypeListAttr() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttr() - Method in class org.tensorflow.proto.OpDef.ArgDef: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttr() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttrBytes() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttrBytes() - Method in class org.tensorflow.proto.OpDef.ArgDef: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeListAttrBytes() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
getTypeName() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: string type_name = 3;
getTypeName() - Method in class org.tensorflow.proto.GraphTransferNodeInfo: string type_name = 3;
getTypeName() - Method in interface org.tensorflow.proto.GraphTransferNodeInfoOrBuilder: string type_name = 3;
getTypeName() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
getTypeName() - Method in class org.tensorflow.proto.VariantTensorDataProto: Name of the type of objects being serialized.
getTypeName() - Method in interface org.tensorflow.proto.VariantTensorDataProtoOrBuilder: Name of the type of objects being serialized.
getTypeNameBytes() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: string type_name = 3;
getTypeNameBytes() - Method in class org.tensorflow.proto.GraphTransferNodeInfo: string type_name = 3;
getTypeNameBytes() - Method in interface org.tensorflow.proto.GraphTransferNodeInfoOrBuilder: string type_name = 3;
getTypeNameBytes() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
getTypeNameBytes() - Method in class org.tensorflow.proto.VariantTensorDataProto: Name of the type of objects being serialized.
getTypeNameBytes() - Method in interface org.tensorflow.proto.VariantTensorDataProtoOrBuilder: Name of the type of objects being serialized.
getTypeOrBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.FullTypeDef type = 4;
getTypeOrBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType: .tensorflow.FullTypeDef type = 4;
getTypeOrBuilder() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndTypeOrBuilder: .tensorflow.FullTypeDef type = 4;
getTypeSpec() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
getTypeSpec() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor: The serialized TypeSpec for the composite tensor.
getTypeSpec() - Method in interface org.tensorflow.proto.TensorInfo.CompositeTensorOrBuilder: The serialized TypeSpec for the composite tensor.
getTypeSpecBuilder() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
getTypeSpecClass() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
getTypeSpecClass() - Method in class org.tensorflow.proto.Struct.TypeSpecProto: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
getTypeSpecClass() - Method in interface org.tensorflow.proto.Struct.TypeSpecProtoOrBuilder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
getTypeSpecClassName() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The name of the TypeSpec class
getTypeSpecClassName() - Method in class org.tensorflow.proto.Struct.TypeSpecProto: The name of the TypeSpec class
getTypeSpecClassName() - Method in interface org.tensorflow.proto.Struct.TypeSpecProtoOrBuilder: The name of the TypeSpec class
getTypeSpecClassNameBytes() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The name of the TypeSpec class
getTypeSpecClassNameBytes() - Method in class org.tensorflow.proto.Struct.TypeSpecProto: The name of the TypeSpec class
getTypeSpecClassNameBytes() - Method in interface org.tensorflow.proto.Struct.TypeSpecProtoOrBuilder: The name of the TypeSpec class
getTypeSpecClassValue() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
getTypeSpecClassValue() - Method in class org.tensorflow.proto.Struct.TypeSpecProto: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
getTypeSpecClassValue() - Method in interface org.tensorflow.proto.Struct.TypeSpecProtoOrBuilder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
getTypeSpecOrBuilder() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
getTypeSpecOrBuilder() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor: The serialized TypeSpec for the composite tensor.
getTypeSpecOrBuilder() - Method in interface org.tensorflow.proto.TensorInfo.CompositeTensorOrBuilder: The serialized TypeSpec for the composite tensor.
getTypeSpecProto() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecProto() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecProto() - Method in interface org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadataOrBuilder: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecProtoBuilder() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecProtoOrBuilder() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecProtoOrBuilder() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecProtoOrBuilder() - Method in interface org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadataOrBuilder: .tensorflow.TypeSpecProto type_spec_proto = 1;
getTypeSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TypeSpec.
getTypeSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for tf.TypeSpec.
getTypeSpecValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for tf.TypeSpec.
getTypeSpecValueBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TypeSpec.
getTypeSpecValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TypeSpec.
getTypeSpecValueOrBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for tf.TypeSpec.
getTypeSpecValueOrBuilder() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for tf.TypeSpec.
getTypeState() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The value returned by TypeSpec.
getTypeState() - Method in class org.tensorflow.proto.Struct.TypeSpecProto: The value returned by TypeSpec.
getTypeState() - Method in interface org.tensorflow.proto.Struct.TypeSpecProtoOrBuilder: The value returned by TypeSpec.
getTypeStateBuilder() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The value returned by TypeSpec.
getTypeStateOrBuilder() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The value returned by TypeSpec.
getTypeStateOrBuilder() - Method in class org.tensorflow.proto.Struct.TypeSpecProto: The value returned by TypeSpec.
getTypeStateOrBuilder() - Method in interface org.tensorflow.proto.Struct.TypeSpecProtoOrBuilder: The value returned by TypeSpec.
getTypeValue() - Method in class org.tensorflow.proto.AttrValue.Builder: "type"
getTypeValue() - Method in class org.tensorflow.proto.AttrValue: "type"
getTypeValue() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "type"
getTypeValue() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getTypeValue() - Method in class org.tensorflow.proto.OpDef.ArgDef: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getTypeValue() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
getTypeValue() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Type of the tensor
getTypeValue() - Method in class org.tensorflow.proto.SavedSliceMeta: Type of the tensor
getTypeValue() - Method in interface org.tensorflow.proto.SavedSliceMetaOrBuilder: Type of the tensor
getTypeValue(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(type)"
getTypeValue(int) - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(type)"
getTypeValue(int) - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(type)"
getTypeValueList() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(type)"
getTypeValueList() - Method in class org.tensorflow.proto.AttrValue.ListValue: "list(type)"
getTypeValueList() - Method in interface org.tensorflow.proto.AttrValue.ListValueOrBuilder: "list(type)"
getUint32Val(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT32
getUint32Val(int) - Method in class org.tensorflow.proto.TensorProto: DT_UINT32
getUint32Val(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_UINT32
getUint32ValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT32
getUint32ValCount() - Method in class org.tensorflow.proto.TensorProto: DT_UINT32
getUint32ValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_UINT32
getUint32ValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT32
getUint32ValList() - Method in class org.tensorflow.proto.TensorProto: DT_UINT32
getUint32ValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_UINT32
getUint64Val(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT64
getUint64Val(int) - Method in class org.tensorflow.proto.TensorProto: DT_UINT64
getUint64Val(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_UINT64
getUint64ValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT64
getUint64ValCount() - Method in class org.tensorflow.proto.TensorProto: DT_UINT64
getUint64ValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_UINT64
getUint64ValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT64
getUint64ValList() - Method in class org.tensorflow.proto.TensorProto: DT_UINT64
getUint64ValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_UINT64
getUint64Value() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: uint64 uint64_value = 3;
getUint64Value() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: uint64 uint64_value = 3;
getUint64Value() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: uint64 uint64_value = 3;
getUncompressedBytes(int) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
getUncompressedBytes(int) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
getUncompressedBytes(int) - Method in interface org.tensorflow.proto.data.Dataset.CompressedComponentMetadataOrBuilder: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
getUncompressedBytesCount() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
getUncompressedBytesCount() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
getUncompressedBytesCount() - Method in interface org.tensorflow.proto.data.Dataset.CompressedComponentMetadataOrBuilder: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
getUncompressedBytesList() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
getUncompressedBytesList() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
getUncompressedBytesList() - Method in interface org.tensorflow.proto.data.Dataset.CompressedComponentMetadataOrBuilder: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
getUnknownFields() - Method in class org.tensorflow.proto.AllocationDescription
getUnknownFields() - Method in class org.tensorflow.proto.AllocationRecord
getUnknownFields() - Method in class org.tensorflow.proto.AllocatorMemoryUsed
getUnknownFields() - Method in class org.tensorflow.proto.ApiDef.Arg
getUnknownFields() - Method in class org.tensorflow.proto.ApiDef.Attr
getUnknownFields() - Method in class org.tensorflow.proto.ApiDef.Endpoint
getUnknownFields() - Method in class org.tensorflow.proto.ApiDef
getUnknownFields() - Method in class org.tensorflow.proto.ApiDefs
getUnknownFields() - Method in class org.tensorflow.proto.AssetFileDef
getUnknownFields() - Method in class org.tensorflow.proto.AttrValue
getUnknownFields() - Method in class org.tensorflow.proto.AttrValue.ListValue
getUnknownFields() - Method in class org.tensorflow.proto.AutoParallelOptions
getUnknownFields() - Method in class org.tensorflow.proto.AvailableDeviceInfo
getUnknownFields() - Method in class org.tensorflow.proto.BenchmarkEntries
getUnknownFields() - Method in class org.tensorflow.proto.BenchmarkEntry
getUnknownFields() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
getUnknownFields() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
getUnknownFields() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
getUnknownFields() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
getUnknownFields() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
getUnknownFields() - Method in class org.tensorflow.proto.BuildConfiguration
getUnknownFields() - Method in class org.tensorflow.proto.BundleEntryProto
getUnknownFields() - Method in class org.tensorflow.proto.BundleHeaderProto
getUnknownFields() - Method in class org.tensorflow.proto.BytesList
getUnknownFields() - Method in class org.tensorflow.proto.CallableOptions
getUnknownFields() - Method in class org.tensorflow.proto.ClusterDef
getUnknownFields() - Method in class org.tensorflow.proto.ClusterDeviceFilters
getUnknownFields() - Method in class org.tensorflow.proto.CodeLocation
getUnknownFields() - Method in class org.tensorflow.proto.CollectionDef.AnyList
getUnknownFields() - Method in class org.tensorflow.proto.CollectionDef.BytesList
getUnknownFields() - Method in class org.tensorflow.proto.CollectionDef.FloatList
getUnknownFields() - Method in class org.tensorflow.proto.CollectionDef
getUnknownFields() - Method in class org.tensorflow.proto.CollectionDef.Int64List
getUnknownFields() - Method in class org.tensorflow.proto.CollectionDef.NodeList
getUnknownFields() - Method in class org.tensorflow.proto.CommitId
getUnknownFields() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
getUnknownFields() - Method in class org.tensorflow.proto.CondContextDef
getUnknownFields() - Method in class org.tensorflow.proto.ConfigProto.Experimental
getUnknownFields() - Method in class org.tensorflow.proto.ConfigProto
getUnknownFields() - Method in class org.tensorflow.proto.ControlFlowContextDef
getUnknownFields() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
getUnknownFields() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
getUnknownFields() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
getUnknownFields() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
getUnknownFields() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
getUnknownFields() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
getUnknownFields() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
getUnknownFields() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
getUnknownFields() - Method in class org.tensorflow.proto.CostGraphDef
getUnknownFields() - Method in class org.tensorflow.proto.CostGraphDef.Node
getUnknownFields() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
getUnknownFields() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
getUnknownFields() - Method in class org.tensorflow.proto.CPUInfo
getUnknownFields() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
getUnknownFields() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
getUnknownFields() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
getUnknownFields() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
getUnknownFields() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
getUnknownFields() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
getUnknownFields() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
getUnknownFields() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
getUnknownFields() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
getUnknownFields() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
getUnknownFields() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
getUnknownFields() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
getUnknownFields() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
getUnknownFields() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
getUnknownFields() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
getUnknownFields() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
getUnknownFields() - Method in class org.tensorflow.proto.data.model.Model.ModelProto
getUnknownFields() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
getUnknownFields() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
getUnknownFields() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
getUnknownFields() - Method in class org.tensorflow.proto.DebugEvent
getUnknownFields() - Method in class org.tensorflow.proto.DebuggedDevice
getUnknownFields() - Method in class org.tensorflow.proto.DebuggedGraph
getUnknownFields() - Method in class org.tensorflow.proto.DebuggedSourceFile
getUnknownFields() - Method in class org.tensorflow.proto.DebuggedSourceFiles
getUnknownFields() - Method in class org.tensorflow.proto.DebugMetadata
getUnknownFields() - Method in class org.tensorflow.proto.DebugOptions
getUnknownFields() - Method in class org.tensorflow.proto.DebugTensorWatch
getUnknownFields() - Method in class org.tensorflow.proto.DeviceAttributes
getUnknownFields() - Method in class org.tensorflow.proto.DeviceLocality
getUnknownFields() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
getUnknownFields() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
getUnknownFields() - Method in class org.tensorflow.proto.DeviceStepStats
getUnknownFields() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
getUnknownFields() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
getUnknownFields() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
getUnknownFields() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
getUnknownFields() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
getUnknownFields() - Method in class org.tensorflow.proto.EntryValue
getUnknownFields() - Method in class org.tensorflow.proto.Event
getUnknownFields() - Method in class org.tensorflow.proto.Example
getUnknownFields() - Method in class org.tensorflow.proto.ExampleParserConfiguration
getUnknownFields() - Method in class org.tensorflow.proto.Execution
getUnknownFields() - Method in class org.tensorflow.proto.Feature
getUnknownFields() - Method in class org.tensorflow.proto.FeatureConfiguration
getUnknownFields() - Method in class org.tensorflow.proto.FeatureList
getUnknownFields() - Method in class org.tensorflow.proto.FeatureLists
getUnknownFields() - Method in class org.tensorflow.proto.Features
getUnknownFields() - Method in class org.tensorflow.proto.FingerprintDef
getUnknownFields() - Method in class org.tensorflow.proto.FixedLenFeatureProto
getUnknownFields() - Method in class org.tensorflow.proto.FloatList
getUnknownFields() - Method in class org.tensorflow.proto.FullTypeDef
getUnknownFields() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
getUnknownFields() - Method in class org.tensorflow.proto.FunctionDef
getUnknownFields() - Method in class org.tensorflow.proto.FunctionDefLibrary
getUnknownFields() - Method in class org.tensorflow.proto.GPUInfo
getUnknownFields() - Method in class org.tensorflow.proto.GPUOptions.Experimental
getUnknownFields() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
getUnknownFields() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
getUnknownFields() - Method in class org.tensorflow.proto.GPUOptions
getUnknownFields() - Method in class org.tensorflow.proto.GradientDef
getUnknownFields() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
getUnknownFields() - Method in class org.tensorflow.proto.GraphDebugInfo
getUnknownFields() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
getUnknownFields() - Method in class org.tensorflow.proto.GraphDef
getUnknownFields() - Method in class org.tensorflow.proto.GraphExecutionTrace
getUnknownFields() - Method in class org.tensorflow.proto.GraphOpCreation
getUnknownFields() - Method in class org.tensorflow.proto.GraphOptions
getUnknownFields() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
getUnknownFields() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
getUnknownFields() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
getUnknownFields() - Method in class org.tensorflow.proto.GraphTransferInfo
getUnknownFields() - Method in class org.tensorflow.proto.GraphTransferNodeInfo
getUnknownFields() - Method in class org.tensorflow.proto.GraphTransferNodeInput
getUnknownFields() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
getUnknownFields() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
getUnknownFields() - Method in class org.tensorflow.proto.HistogramProto
getUnknownFields() - Method in class org.tensorflow.proto.Int64List
getUnknownFields() - Method in class org.tensorflow.proto.InterconnectLink
getUnknownFields() - Method in class org.tensorflow.proto.JobDef
getUnknownFields() - Method in class org.tensorflow.proto.JobDeviceFilters
getUnknownFields() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
getUnknownFields() - Method in class org.tensorflow.proto.KernelDef
getUnknownFields() - Method in class org.tensorflow.proto.KernelList
getUnknownFields() - Method in class org.tensorflow.proto.LocalLinks
getUnknownFields() - Method in class org.tensorflow.proto.LogMessage: Deprecated.
getUnknownFields() - Method in class org.tensorflow.proto.MachineConfiguration
getUnknownFields() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
getUnknownFields() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
getUnknownFields() - Method in class org.tensorflow.proto.MemoryInfo
getUnknownFields() - Method in class org.tensorflow.proto.MemoryLogRawAllocation
getUnknownFields() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
getUnknownFields() - Method in class org.tensorflow.proto.MemoryLogStep
getUnknownFields() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
getUnknownFields() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
getUnknownFields() - Method in class org.tensorflow.proto.MemoryLogTensorOutput
getUnknownFields() - Method in class org.tensorflow.proto.MemoryStats
getUnknownFields() - Method in class org.tensorflow.proto.MetaGraphDef
getUnknownFields() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
getUnknownFields() - Method in class org.tensorflow.proto.MetricEntry
getUnknownFields() - Method in class org.tensorflow.proto.NameAttrList
getUnknownFields() - Method in class org.tensorflow.proto.NamedTensorProto
getUnknownFields() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
getUnknownFields() - Method in class org.tensorflow.proto.NodeDef
getUnknownFields() - Method in class org.tensorflow.proto.NodeExecStats
getUnknownFields() - Method in class org.tensorflow.proto.NodeOutput
getUnknownFields() - Method in class org.tensorflow.proto.OpDef.ArgDef
getUnknownFields() - Method in class org.tensorflow.proto.OpDef.AttrDef
getUnknownFields() - Method in class org.tensorflow.proto.OpDef
getUnknownFields() - Method in class org.tensorflow.proto.OpDeprecation
getUnknownFields() - Method in class org.tensorflow.proto.OpList
getUnknownFields() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
getUnknownFields() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
getUnknownFields() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
getUnknownFields() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
getUnknownFields() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
getUnknownFields() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
getUnknownFields() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
getUnknownFields() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
getUnknownFields() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
getUnknownFields() - Method in class org.tensorflow.proto.OptimizerOptions
getUnknownFields() - Method in class org.tensorflow.proto.PlatformInfo
getUnknownFields() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
getUnknownFields() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
getUnknownFields() - Method in class org.tensorflow.proto.profiler.Xplane.XLine
getUnknownFields() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
getUnknownFields() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
getUnknownFields() - Method in class org.tensorflow.proto.profiler.Xplane.XStat
getUnknownFields() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
getUnknownFields() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
getUnknownFields() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
getUnknownFields() - Method in class org.tensorflow.proto.QueueRunnerDef
getUnknownFields() - Method in class org.tensorflow.proto.ReaderBaseState
getUnknownFields() - Method in class org.tensorflow.proto.RegisteredGradient
getUnknownFields() - Method in class org.tensorflow.proto.RequestedExitCode
getUnknownFields() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
getUnknownFields() - Method in class org.tensorflow.proto.ResourceHandleProto
getUnknownFields() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
getUnknownFields() - Method in class org.tensorflow.proto.RewriterConfig
getUnknownFields() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
getUnknownFields() - Method in class org.tensorflow.proto.RunConfiguration
getUnknownFields() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
getUnknownFields() - Method in class org.tensorflow.proto.RunMetadata
getUnknownFields() - Method in class org.tensorflow.proto.RunOptions.Experimental
getUnknownFields() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
getUnknownFields() - Method in class org.tensorflow.proto.RunOptions
getUnknownFields() - Method in class org.tensorflow.proto.SavedModel
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
getUnknownFields() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
getUnknownFields() - Method in class org.tensorflow.proto.SavedSlice
getUnknownFields() - Method in class org.tensorflow.proto.SavedSliceMeta
getUnknownFields() - Method in class org.tensorflow.proto.SavedTensorSliceMeta
getUnknownFields() - Method in class org.tensorflow.proto.SavedTensorSlices
getUnknownFields() - Method in class org.tensorflow.proto.SaverDef
getUnknownFields() - Method in class org.tensorflow.proto.SaveSliceInfoDef
getUnknownFields() - Method in class org.tensorflow.proto.ScopedAllocatorOptions
getUnknownFields() - Method in class org.tensorflow.proto.SequenceExample
getUnknownFields() - Method in class org.tensorflow.proto.SerializedDType
getUnknownFields() - Method in class org.tensorflow.proto.ServerDef
getUnknownFields() - Method in class org.tensorflow.proto.SessionLog
getUnknownFields() - Method in class org.tensorflow.proto.SessionMetadata
getUnknownFields() - Method in class org.tensorflow.proto.SignatureDef
getUnknownFields() - Method in class org.tensorflow.proto.SourceFile
getUnknownFields() - Method in class org.tensorflow.proto.SourceMetadata
getUnknownFields() - Method in class org.tensorflow.proto.StackFrameWithId
getUnknownFields() - Method in class org.tensorflow.proto.StatusProto
getUnknownFields() - Method in class org.tensorflow.proto.StepStats
getUnknownFields() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
getUnknownFields() - Method in class org.tensorflow.proto.Struct.DictValue
getUnknownFields() - Method in class org.tensorflow.proto.Struct.ListValue
getUnknownFields() - Method in class org.tensorflow.proto.Struct.NamedTupleValue
getUnknownFields() - Method in class org.tensorflow.proto.Struct.NoneValue
getUnknownFields() - Method in class org.tensorflow.proto.Struct.PairValue
getUnknownFields() - Method in class org.tensorflow.proto.Struct.StructuredValue
getUnknownFields() - Method in class org.tensorflow.proto.Struct.TensorSpecProto
getUnknownFields() - Method in class org.tensorflow.proto.Struct.TupleValue
getUnknownFields() - Method in class org.tensorflow.proto.Struct.TypeSpecProto
getUnknownFields() - Method in class org.tensorflow.proto.Summary.Audio
getUnknownFields() - Method in class org.tensorflow.proto.Summary
getUnknownFields() - Method in class org.tensorflow.proto.Summary.Image
getUnknownFields() - Method in class org.tensorflow.proto.Summary.Value
getUnknownFields() - Method in class org.tensorflow.proto.SummaryDescription
getUnknownFields() - Method in class org.tensorflow.proto.SummaryMetadata
getUnknownFields() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
getUnknownFields() - Method in class org.tensorflow.proto.TaggedRunMetadata
getUnknownFields() - Method in class org.tensorflow.proto.TaskDeviceFilters
getUnknownFields() - Method in class org.tensorflow.proto.TensorConnection
getUnknownFields() - Method in class org.tensorflow.proto.TensorDescription
getUnknownFields() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
getUnknownFields() - Method in class org.tensorflow.proto.TensorInfo.CooSparse
getUnknownFields() - Method in class org.tensorflow.proto.TensorInfo
getUnknownFields() - Method in class org.tensorflow.proto.TensorProto
getUnknownFields() - Method in class org.tensorflow.proto.TensorShapeProto.Dim
getUnknownFields() - Method in class org.tensorflow.proto.TensorShapeProto
getUnknownFields() - Method in class org.tensorflow.proto.TensorSliceProto.Extent
getUnknownFields() - Method in class org.tensorflow.proto.TensorSliceProto
getUnknownFields() - Method in class org.tensorflow.proto.TestResults
getUnknownFields() - Method in class org.tensorflow.proto.ThreadPoolOptionProto
getUnknownFields() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
getUnknownFields() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
getUnknownFields() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
getUnknownFields() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
getUnknownFields() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
getUnknownFields() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
getUnknownFields() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
getUnknownFields() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
getUnknownFields() - Method in class org.tensorflow.proto.ValuesDef
getUnknownFields() - Method in class org.tensorflow.proto.VariableDef
getUnknownFields() - Method in class org.tensorflow.proto.VariantTensorDataProto
getUnknownFields() - Method in class org.tensorflow.proto.VarLenFeatureProto
getUnknownFields() - Method in class org.tensorflow.proto.VerifierConfig
getUnknownFields() - Method in class org.tensorflow.proto.VersionDef
getUnknownFields() - Method in class org.tensorflow.proto.WatchdogConfig
getUnknownFields() - Method in class org.tensorflow.proto.WhileContextDef
getUnknownFields() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
getUnknownFields() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
getUnknownRank() - Method in class org.tensorflow.proto.TensorShapeProto.Builder: If true, the number of dimensions in the shape is unknown.
getUnknownRank() - Method in class org.tensorflow.proto.TensorShapeProto: If true, the number of dimensions in the shape is unknown.
getUnknownRank() - Method in interface org.tensorflow.proto.TensorShapeProtoOrBuilder: If true, the number of dimensions in the shape is unknown.
getUnsafeNativeHandle() - Method in class org.tensorflow.GraphOperation: Get the native handle of this operation.
getUseCudaMallocAsync() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: When true, use CUDA cudaMallocAsync API instead of TF gpu allocator.
getUseCudaMallocAsync() - Method in class org.tensorflow.proto.GPUOptions.Experimental: When true, use CUDA cudaMallocAsync API instead of TF gpu allocator.
getUseCudaMallocAsync() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: When true, use CUDA cudaMallocAsync API instead of TF gpu allocator.
getUseNumaAffinity() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.
getUseNumaAffinity() - Method in class org.tensorflow.proto.ConfigProto.Experimental: If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.
getUseNumaAffinity() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.
getUsePerSessionThreads() - Method in class org.tensorflow.proto.ConfigProto.Builder: If true, use a new set of threads for this session rather than the global pool of threads.
getUsePerSessionThreads() - Method in class org.tensorflow.proto.ConfigProto: If true, use a new set of threads for this session rather than the global pool of threads.
getUsePerSessionThreads() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: If true, use a new set of threads for this session rather than the global pool of threads.
getUsePluginOptimizers() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimizers registered by plugin (default is ON)
getUsePluginOptimizers() - Method in class org.tensorflow.proto.RewriterConfig: Optimizers registered by plugin (default is ON)
getUsePluginOptimizers() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Optimizers registered by plugin (default is ON)
getUsePluginOptimizersValue() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimizers registered by plugin (default is ON)
getUsePluginOptimizersValue() - Method in class org.tensorflow.proto.RewriterConfig: Optimizers registered by plugin (default is ON)
getUsePluginOptimizersValue() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Optimizers registered by plugin (default is ON)
getUserObject() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
getUserObject() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedUserObject user_object = 4;
getUserObject() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedUserObject user_object = 4;
getUserObjectBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
getUserObjectOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
getUserObjectOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedUserObject user_object = 4;
getUserObjectOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedUserObject user_object = 4;
getUseRpcForInprocessMaster() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: If true, always use RPC to contact the session target.
getUseRpcForInprocessMaster() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions: If true, always use RPC to contact the session target.
getUseRpcForInprocessMaster() - Method in interface org.tensorflow.proto.RpcOptions.RPCOptionsOrBuilder: If true, always use RPC to contact the session target.
getUseRunHandlerPool() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
getUseRunHandlerPool() - Method in class org.tensorflow.proto.RunOptions.Experimental: If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
getUseRunHandlerPool() - Method in interface org.tensorflow.proto.RunOptions.ExperimentalOrBuilder: If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
getUseTfrt() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether runtime execution uses TFRT.
getUseTfrt() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Whether runtime execution uses TFRT.
getUseTfrt() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Whether runtime execution uses TFRT.
getUseUnifiedMemory() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If true, uses CUDA unified memory for memory allocations.
getUseUnifiedMemory() - Method in class org.tensorflow.proto.GPUOptions.Experimental: If true, uses CUDA unified memory for memory allocations.
getUseUnifiedMemory() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: If true, uses CUDA unified memory for memory allocations.
getUuid() - Method in class org.tensorflow.proto.GPUInfo.Builder: Final entry in output of "nvidia-smi -L"
getUuid() - Method in class org.tensorflow.proto.GPUInfo: Final entry in output of "nvidia-smi -L"
getUuid() - Method in interface org.tensorflow.proto.GPUInfoOrBuilder: Final entry in output of "nvidia-smi -L"
getUuidBytes() - Method in class org.tensorflow.proto.GPUInfo.Builder: Final entry in output of "nvidia-smi -L"
getUuidBytes() - Method in class org.tensorflow.proto.GPUInfo: Final entry in output of "nvidia-smi -L"
getUuidBytes() - Method in interface org.tensorflow.proto.GPUInfoOrBuilder: Final entry in output of "nvidia-smi -L"
getValue() - Method in class org.tensorflow.framework.data.DatasetOptional: Returns the value of the dataset element represented by this optional, if it exists.
getValue() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Identifies the model value of the parameter.
getValue() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter: Identifies the model value of the parameter.
getValue() - Method in interface org.tensorflow.proto.data.model.Model.ModelProto.Node.ParameterOrBuilder: Identifies the model value of the parameter.
getValue() - Method in class org.tensorflow.proto.MetricEntry.Builder: Metric value
getValue() - Method in class org.tensorflow.proto.MetricEntry: Metric value
getValue() - Method in interface org.tensorflow.proto.MetricEntryOrBuilder: Metric value
getValue() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
getValue() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties: .tensorflow.TensorProto value = 3;
getValue() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfo.TensorPropertiesOrBuilder: .tensorflow.TensorProto value = 3;
getValue() - Method in class org.tensorflow.proto.Struct.PairValue.Builder: .tensorflow.StructuredValue value = 2;
getValue() - Method in class org.tensorflow.proto.Struct.PairValue: .tensorflow.StructuredValue value = 2;
getValue() - Method in interface org.tensorflow.proto.Struct.PairValueOrBuilder: .tensorflow.StructuredValue value = 2;
getValue(int) - Method in class org.tensorflow.proto.BytesList.Builder: repeated bytes value = 1;
getValue(int) - Method in class org.tensorflow.proto.BytesList: repeated bytes value = 1;
getValue(int) - Method in interface org.tensorflow.proto.BytesListOrBuilder: repeated bytes value = 1;
getValue(int) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValue(int) - Method in class org.tensorflow.proto.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValue(int) - Method in interface org.tensorflow.proto.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValue(int) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder: repeated bytes value = 1;
getValue(int) - Method in class org.tensorflow.proto.CollectionDef.BytesList: repeated bytes value = 1;
getValue(int) - Method in interface org.tensorflow.proto.CollectionDef.BytesListOrBuilder: repeated bytes value = 1;
getValue(int) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.CollectionDef.FloatList: repeated float value = 1 [packed = true];
getValue(int) - Method in interface org.tensorflow.proto.CollectionDef.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.CollectionDef.Int64List: repeated int64 value = 1 [packed = true];
getValue(int) - Method in interface org.tensorflow.proto.CollectionDef.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder: repeated string value = 1;
getValue(int) - Method in class org.tensorflow.proto.CollectionDef.NodeList: repeated string value = 1;
getValue(int) - Method in interface org.tensorflow.proto.CollectionDef.NodeListOrBuilder: repeated string value = 1;
getValue(int) - Method in class org.tensorflow.proto.FloatList.Builder: repeated float value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.FloatList: repeated float value = 1 [packed = true];
getValue(int) - Method in interface org.tensorflow.proto.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.Int64List: repeated int64 value = 1 [packed = true];
getValue(int) - Method in interface org.tensorflow.proto.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValue(int) - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
getValue(int) - Method in class org.tensorflow.proto.Summary: Set of values for the summary.
getValue(int) - Method in interface org.tensorflow.proto.SummaryOrBuilder: Set of values for the summary.
getValueBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
getValueBuilder() - Method in class org.tensorflow.proto.Struct.PairValue.Builder: .tensorflow.StructuredValue value = 2;
getValueBuilder(int) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueBuilder(int) - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
getValueBuilderList() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueBuilderList() - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
getValueBytes(int) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder: repeated string value = 1;
getValueBytes(int) - Method in class org.tensorflow.proto.CollectionDef.NodeList: repeated string value = 1;
getValueBytes(int) - Method in interface org.tensorflow.proto.CollectionDef.NodeListOrBuilder: repeated string value = 1;
getValueCase() - Method in class org.tensorflow.proto.AttrValue.Builder
getValueCase() - Method in class org.tensorflow.proto.AttrValue
getValueCase() - Method in interface org.tensorflow.proto.AttrValueOrBuilder
getValueCase() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
getValueCase() - Method in class org.tensorflow.proto.profiler.Xplane.XStat
getValueCase() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder
getValueCase() - Method in class org.tensorflow.proto.Summary.Value.Builder
getValueCase() - Method in class org.tensorflow.proto.Summary.Value
getValueCase() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder
getValueCount() - Method in class org.tensorflow.proto.BytesList.Builder: repeated bytes value = 1;
getValueCount() - Method in class org.tensorflow.proto.BytesList: repeated bytes value = 1;
getValueCount() - Method in interface org.tensorflow.proto.BytesListOrBuilder: repeated bytes value = 1;
getValueCount() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueCount() - Method in class org.tensorflow.proto.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValueCount() - Method in interface org.tensorflow.proto.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValueCount() - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder: repeated bytes value = 1;
getValueCount() - Method in class org.tensorflow.proto.CollectionDef.BytesList: repeated bytes value = 1;
getValueCount() - Method in interface org.tensorflow.proto.CollectionDef.BytesListOrBuilder: repeated bytes value = 1;
getValueCount() - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.CollectionDef.FloatList: repeated float value = 1 [packed = true];
getValueCount() - Method in interface org.tensorflow.proto.CollectionDef.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.CollectionDef.Int64List: repeated int64 value = 1 [packed = true];
getValueCount() - Method in interface org.tensorflow.proto.CollectionDef.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder: repeated string value = 1;
getValueCount() - Method in class org.tensorflow.proto.CollectionDef.NodeList: repeated string value = 1;
getValueCount() - Method in interface org.tensorflow.proto.CollectionDef.NodeListOrBuilder: repeated string value = 1;
getValueCount() - Method in class org.tensorflow.proto.FloatList.Builder: repeated float value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.FloatList: repeated float value = 1 [packed = true];
getValueCount() - Method in interface org.tensorflow.proto.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.Int64List: repeated int64 value = 1 [packed = true];
getValueCount() - Method in interface org.tensorflow.proto.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValueCount() - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
getValueCount() - Method in class org.tensorflow.proto.Summary: Set of values for the summary.
getValueCount() - Method in interface org.tensorflow.proto.SummaryOrBuilder: Set of values for the summary.
getValueDescriptor() - Method in enum org.tensorflow.proto.ApiDef.Visibility
getValueDescriptor() - Method in enum org.tensorflow.proto.BundleHeaderProto.Endianness
getValueDescriptor() - Method in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout
getValueDescriptor() - Method in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource
getValueDescriptor() - Method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression
getValueDescriptor() - Method in enum org.tensorflow.proto.data.DataService.DeploymentMode
getValueDescriptor() - Method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
getValueDescriptor() - Method in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy
getValueDescriptor() - Method in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel
getValueDescriptor() - Method in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy
getValueDescriptor() - Method in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm
getValueDescriptor() - Method in enum org.tensorflow.proto.data.model.Model.NodeClass
getValueDescriptor() - Method in enum org.tensorflow.proto.DataClass
getValueDescriptor() - Method in enum org.tensorflow.proto.DataType
getValueDescriptor() - Method in enum org.tensorflow.proto.error.Code
getValueDescriptor() - Method in enum org.tensorflow.proto.FullTypeId
getValueDescriptor() - Method in enum org.tensorflow.proto.GraphTransferInfo.Destination
getValueDescriptor() - Method in enum org.tensorflow.proto.LogMessage.Level: Deprecated.
getValueDescriptor() - Method in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource
getValueDescriptor() - Method in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel
getValueDescriptor() - Method in enum org.tensorflow.proto.OptimizerOptions.Level
getValueDescriptor() - Method in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType
getValueDescriptor() - Method in enum org.tensorflow.proto.RewriterConfig.CpuLayout
getValueDescriptor() - Method in enum org.tensorflow.proto.RewriterConfig.MemOptType
getValueDescriptor() - Method in enum org.tensorflow.proto.RewriterConfig.NumIterationsType
getValueDescriptor() - Method in enum org.tensorflow.proto.RewriterConfig.Toggle
getValueDescriptor() - Method in enum org.tensorflow.proto.RunOptions.TraceLevel
getValueDescriptor() - Method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile
getValueDescriptor() - Method in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion
getValueDescriptor() - Method in enum org.tensorflow.proto.SessionLog.SessionStatus
getValueDescriptor() - Method in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass
getValueDescriptor() - Method in enum org.tensorflow.proto.TensorDebugMode
getValueDescriptor() - Method in enum org.tensorflow.proto.TestResults.BenchmarkType
getValueDescriptor() - Method in enum org.tensorflow.proto.VariableAggregation
getValueDescriptor() - Method in enum org.tensorflow.proto.VariableSynchronization
getValueDescriptor() - Method in enum org.tensorflow.proto.VerifierConfig.Toggle
getValueDescriptor() - Method in enum org.tensorflow.proto.WorkerHealth
getValueDescriptor() - Method in enum org.tensorflow.proto.WorkerShutdownMode
getValueList() - Method in class org.tensorflow.proto.BytesList.Builder: repeated bytes value = 1;
getValueList() - Method in class org.tensorflow.proto.BytesList: repeated bytes value = 1;
getValueList() - Method in interface org.tensorflow.proto.BytesListOrBuilder: repeated bytes value = 1;
getValueList() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueList() - Method in class org.tensorflow.proto.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValueList() - Method in interface org.tensorflow.proto.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValueList() - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder: repeated bytes value = 1;
getValueList() - Method in class org.tensorflow.proto.CollectionDef.BytesList: repeated bytes value = 1;
getValueList() - Method in interface org.tensorflow.proto.CollectionDef.BytesListOrBuilder: repeated bytes value = 1;
getValueList() - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.CollectionDef.FloatList: repeated float value = 1 [packed = true];
getValueList() - Method in interface org.tensorflow.proto.CollectionDef.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.CollectionDef.Int64List: repeated int64 value = 1 [packed = true];
getValueList() - Method in interface org.tensorflow.proto.CollectionDef.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder: repeated string value = 1;
getValueList() - Method in class org.tensorflow.proto.CollectionDef.NodeList: repeated string value = 1;
getValueList() - Method in interface org.tensorflow.proto.CollectionDef.NodeListOrBuilder: repeated string value = 1;
getValueList() - Method in class org.tensorflow.proto.FloatList.Builder: repeated float value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.FloatList: repeated float value = 1 [packed = true];
getValueList() - Method in interface org.tensorflow.proto.FloatListOrBuilder: repeated float value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.Int64List.Builder: repeated int64 value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.Int64List: repeated int64 value = 1 [packed = true];
getValueList() - Method in interface org.tensorflow.proto.Int64ListOrBuilder: repeated int64 value = 1 [packed = true];
getValueList() - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
getValueList() - Method in class org.tensorflow.proto.Summary: Set of values for the summary.
getValueList() - Method in interface org.tensorflow.proto.SummaryOrBuilder: Set of values for the summary.
getValueOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
getValueOrBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties: .tensorflow.TensorProto value = 3;
getValueOrBuilder() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfo.TensorPropertiesOrBuilder: .tensorflow.TensorProto value = 3;
getValueOrBuilder() - Method in class org.tensorflow.proto.Struct.PairValue.Builder: .tensorflow.StructuredValue value = 2;
getValueOrBuilder() - Method in class org.tensorflow.proto.Struct.PairValue: .tensorflow.StructuredValue value = 2;
getValueOrBuilder() - Method in interface org.tensorflow.proto.Struct.PairValueOrBuilder: .tensorflow.StructuredValue value = 2;
getValueOrBuilder(int) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueOrBuilder(int) - Method in class org.tensorflow.proto.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValueOrBuilder(int) - Method in interface org.tensorflow.proto.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValueOrBuilder(int) - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
getValueOrBuilder(int) - Method in class org.tensorflow.proto.Summary: Set of values for the summary.
getValueOrBuilder(int) - Method in interface org.tensorflow.proto.SummaryOrBuilder: Set of values for the summary.
getValueOrBuilderList() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
getValueOrBuilderList() - Method in class org.tensorflow.proto.CollectionDef.AnyList: repeated .google.protobuf.Any value = 1;
getValueOrBuilderList() - Method in interface org.tensorflow.proto.CollectionDef.AnyListOrBuilder: repeated .google.protobuf.Any value = 1;
getValueOrBuilderList() - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
getValueOrBuilderList() - Method in class org.tensorflow.proto.Summary: Set of values for the summary.
getValueOrBuilderList() - Method in interface org.tensorflow.proto.SummaryOrBuilder: Set of values for the summary.
getValues() - Method in class org.tensorflow.framework.utils.SparseTensor: Get the values for the Sparse Tensor
getValues(int) - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValues(int) - Method in class org.tensorflow.proto.Struct.ListValue: repeated .tensorflow.StructuredValue values = 1;
getValues(int) - Method in interface org.tensorflow.proto.Struct.ListValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValues(int) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValues(int) - Method in class org.tensorflow.proto.Struct.NamedTupleValue: repeated .tensorflow.PairValue values = 2;
getValues(int) - Method in interface org.tensorflow.proto.Struct.NamedTupleValueOrBuilder: repeated .tensorflow.PairValue values = 2;
getValues(int) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValues(int) - Method in class org.tensorflow.proto.Struct.TupleValue: repeated .tensorflow.StructuredValue values = 1;
getValues(int) - Method in interface org.tensorflow.proto.Struct.TupleValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValues(int) - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names that have been seen in this context.
getValues(int) - Method in class org.tensorflow.proto.ValuesDef: Value names that have been seen in this context.
getValues(int) - Method in interface org.tensorflow.proto.ValuesDefOrBuilder: Value names that have been seen in this context.
getValuesBuilder(int) - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesBuilder(int) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValuesBuilder(int) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesBuilderList() - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesBuilderList() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValuesBuilderList() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesBytes(int) - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names that have been seen in this context.
getValuesBytes(int) - Method in class org.tensorflow.proto.ValuesDef: Value names that have been seen in this context.
getValuesBytes(int) - Method in interface org.tensorflow.proto.ValuesDefOrBuilder: Value names that have been seen in this context.
getValuesCount() - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesCount() - Method in class org.tensorflow.proto.Struct.ListValue: repeated .tensorflow.StructuredValue values = 1;
getValuesCount() - Method in interface org.tensorflow.proto.Struct.ListValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesCount() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValuesCount() - Method in class org.tensorflow.proto.Struct.NamedTupleValue: repeated .tensorflow.PairValue values = 2;
getValuesCount() - Method in interface org.tensorflow.proto.Struct.NamedTupleValueOrBuilder: repeated .tensorflow.PairValue values = 2;
getValuesCount() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesCount() - Method in class org.tensorflow.proto.Struct.TupleValue: repeated .tensorflow.StructuredValue values = 1;
getValuesCount() - Method in interface org.tensorflow.proto.Struct.TupleValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesCount() - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names that have been seen in this context.
getValuesCount() - Method in class org.tensorflow.proto.ValuesDef: Value names that have been seen in this context.
getValuesCount() - Method in interface org.tensorflow.proto.ValuesDefOrBuilder: Value names that have been seen in this context.
getValuesDef() - Method in class org.tensorflow.proto.CondContextDef.Builder: Values and external values in control flow context.
getValuesDef() - Method in class org.tensorflow.proto.CondContextDef: Values and external values in control flow context.
getValuesDef() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Values and external values in control flow context.
getValuesDef() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Values and external values in control flow context.
getValuesDef() - Method in class org.tensorflow.proto.WhileContextDef: Values and external values in control flow context.
getValuesDef() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Values and external values in control flow context.
getValuesDefBuilder() - Method in class org.tensorflow.proto.CondContextDef.Builder: Values and external values in control flow context.
getValuesDefBuilder() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Values and external values in control flow context.
getValuesDefOrBuilder() - Method in class org.tensorflow.proto.CondContextDef.Builder: Values and external values in control flow context.
getValuesDefOrBuilder() - Method in class org.tensorflow.proto.CondContextDef: Values and external values in control flow context.
getValuesDefOrBuilder() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Values and external values in control flow context.
getValuesDefOrBuilder() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Values and external values in control flow context.
getValuesDefOrBuilder() - Method in class org.tensorflow.proto.WhileContextDef: Values and external values in control flow context.
getValuesDefOrBuilder() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Values and external values in control flow context.
getValuesList() - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesList() - Method in class org.tensorflow.proto.Struct.ListValue: repeated .tensorflow.StructuredValue values = 1;
getValuesList() - Method in interface org.tensorflow.proto.Struct.ListValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesList() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValuesList() - Method in class org.tensorflow.proto.Struct.NamedTupleValue: repeated .tensorflow.PairValue values = 2;
getValuesList() - Method in interface org.tensorflow.proto.Struct.NamedTupleValueOrBuilder: repeated .tensorflow.PairValue values = 2;
getValuesList() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesList() - Method in class org.tensorflow.proto.Struct.TupleValue: repeated .tensorflow.StructuredValue values = 1;
getValuesList() - Method in interface org.tensorflow.proto.Struct.TupleValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesList() - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names that have been seen in this context.
getValuesList() - Method in class org.tensorflow.proto.ValuesDef: Value names that have been seen in this context.
getValuesList() - Method in interface org.tensorflow.proto.ValuesDefOrBuilder: Value names that have been seen in this context.
getValuesOrBuilder(int) - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilder(int) - Method in class org.tensorflow.proto.Struct.ListValue: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilder(int) - Method in interface org.tensorflow.proto.Struct.ListValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilder(int) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValuesOrBuilder(int) - Method in class org.tensorflow.proto.Struct.NamedTupleValue: repeated .tensorflow.PairValue values = 2;
getValuesOrBuilder(int) - Method in interface org.tensorflow.proto.Struct.NamedTupleValueOrBuilder: repeated .tensorflow.PairValue values = 2;
getValuesOrBuilder(int) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilder(int) - Method in class org.tensorflow.proto.Struct.TupleValue: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilder(int) - Method in interface org.tensorflow.proto.Struct.TupleValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilderList() - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilderList() - Method in class org.tensorflow.proto.Struct.ListValue: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilderList() - Method in interface org.tensorflow.proto.Struct.ListValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilderList() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
getValuesOrBuilderList() - Method in class org.tensorflow.proto.Struct.NamedTupleValue: repeated .tensorflow.PairValue values = 2;
getValuesOrBuilderList() - Method in interface org.tensorflow.proto.Struct.NamedTupleValueOrBuilder: repeated .tensorflow.PairValue values = 2;
getValuesOrBuilderList() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilderList() - Method in class org.tensorflow.proto.Struct.TupleValue: repeated .tensorflow.StructuredValue values = 1;
getValuesOrBuilderList() - Method in interface org.tensorflow.proto.Struct.TupleValueOrBuilder: repeated .tensorflow.StructuredValue values = 1;
getValuesOutputTensorName() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
getValuesOutputTensorName() - Method in class org.tensorflow.proto.FixedLenFeatureProto: string values_output_tensor_name = 4;
getValuesOutputTensorName() - Method in interface org.tensorflow.proto.FixedLenFeatureProtoOrBuilder: string values_output_tensor_name = 4;
getValuesOutputTensorName() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
getValuesOutputTensorName() - Method in class org.tensorflow.proto.VarLenFeatureProto: string values_output_tensor_name = 2;
getValuesOutputTensorName() - Method in interface org.tensorflow.proto.VarLenFeatureProtoOrBuilder: string values_output_tensor_name = 2;
getValuesOutputTensorNameBytes() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
getValuesOutputTensorNameBytes() - Method in class org.tensorflow.proto.FixedLenFeatureProto: string values_output_tensor_name = 4;
getValuesOutputTensorNameBytes() - Method in interface org.tensorflow.proto.FixedLenFeatureProtoOrBuilder: string values_output_tensor_name = 4;
getValuesOutputTensorNameBytes() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
getValuesOutputTensorNameBytes() - Method in class org.tensorflow.proto.VarLenFeatureProto: string values_output_tensor_name = 2;
getValuesOutputTensorNameBytes() - Method in interface org.tensorflow.proto.VarLenFeatureProtoOrBuilder: string values_output_tensor_name = 2;
getValuesTensorName() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
getValuesTensorName() - Method in class org.tensorflow.proto.TensorInfo.CooSparse: The shape of the values Tensor is [?].
getValuesTensorName() - Method in interface org.tensorflow.proto.TensorInfo.CooSparseOrBuilder: The shape of the values Tensor is [?].
getValuesTensorNameBytes() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
getValuesTensorNameBytes() - Method in class org.tensorflow.proto.TensorInfo.CooSparse: The shape of the values Tensor is [?].
getValuesTensorNameBytes() - Method in interface org.tensorflow.proto.TensorInfo.CooSparseOrBuilder: The shape of the values Tensor is [?].
getVariable() - Method in class org.tensorflow.framework.optimizers.Optimizer.GradAndVar: Gets the variable
getVariable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
getVariable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedVariable variable = 7;
getVariable() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedVariable variable = 7;
getVariableBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
getVariableName() - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the variable tensor.
getVariableName() - Method in class org.tensorflow.proto.VariableDef: Name of the variable tensor.
getVariableName() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Name of the variable tensor.
getVariableName(String) - Method in class org.tensorflow.framework.metrics.BaseMetric: Gets a formatted name for a variable, in the form BaseMetric.name + "_" + varName.
getVariableNameBytes() - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the variable tensor.
getVariableNameBytes() - Method in class org.tensorflow.proto.VariableDef: Name of the variable tensor.
getVariableNameBytes() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Name of the variable tensor.
getVariableOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
getVariableOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedVariable variable = 7;
getVariableOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedVariable variable = 7;
getVariant() - Method in class org.tensorflow.framework.data.Dataset: Gets the variant tensor representing this dataset.
getVariantVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
getVariantVal(int) - Method in class org.tensorflow.proto.TensorProto: DT_VARIANT
getVariantVal(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_VARIANT
getVariantValBuilder(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
getVariantValBuilderList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
getVariantValCount() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
getVariantValCount() - Method in class org.tensorflow.proto.TensorProto: DT_VARIANT
getVariantValCount() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_VARIANT
getVariantValList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
getVariantValList() - Method in class org.tensorflow.proto.TensorProto: DT_VARIANT
getVariantValList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_VARIANT
getVariantValOrBuilder(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
getVariantValOrBuilder(int) - Method in class org.tensorflow.proto.TensorProto: DT_VARIANT
getVariantValOrBuilder(int) - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_VARIANT
getVariantValOrBuilderList() - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
getVariantValOrBuilderList() - Method in class org.tensorflow.proto.TensorProto: DT_VARIANT
getVariantValOrBuilderList() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: DT_VARIANT
getVarLenFeature() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeature() - Method in class org.tensorflow.proto.FeatureConfiguration: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeature() - Method in interface org.tensorflow.proto.FeatureConfigurationOrBuilder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeatureBuilder() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeatureOrBuilder() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeatureOrBuilder() - Method in class org.tensorflow.proto.FeatureConfiguration: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarLenFeatureOrBuilder() - Method in interface org.tensorflow.proto.FeatureConfigurationOrBuilder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
getVarOffset(int) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
getVarOffset(int) - Method in class org.tensorflow.proto.SaveSliceInfoDef: Offset of this variable into the full variable.
getVarOffset(int) - Method in interface org.tensorflow.proto.SaveSliceInfoDefOrBuilder: Offset of this variable into the full variable.
getVarOffsetCount() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
getVarOffsetCount() - Method in class org.tensorflow.proto.SaveSliceInfoDef: Offset of this variable into the full variable.
getVarOffsetCount() - Method in interface org.tensorflow.proto.SaveSliceInfoDefOrBuilder: Offset of this variable into the full variable.
getVarOffsetList() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
getVarOffsetList() - Method in class org.tensorflow.proto.SaveSliceInfoDef: Offset of this variable into the full variable.
getVarOffsetList() - Method in interface org.tensorflow.proto.SaveSliceInfoDefOrBuilder: Offset of this variable into the full variable.
getVarShape(int) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of this variable.
getVarShape(int) - Method in class org.tensorflow.proto.SaveSliceInfoDef: Shape of this variable.
getVarShape(int) - Method in interface org.tensorflow.proto.SaveSliceInfoDefOrBuilder: Shape of this variable.
getVarShapeCount() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of this variable.
getVarShapeCount() - Method in class org.tensorflow.proto.SaveSliceInfoDef: Shape of this variable.
getVarShapeCount() - Method in interface org.tensorflow.proto.SaveSliceInfoDefOrBuilder: Shape of this variable.
getVarShapeList() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of this variable.
getVarShapeList() - Method in class org.tensorflow.proto.SaveSliceInfoDef: Shape of this variable.
getVarShapeList() - Method in interface org.tensorflow.proto.SaveSliceInfoDefOrBuilder: Shape of this variable.
getVendor() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
getVendor() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Vendor (Intel, nvidia, ...)
getVendor() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Vendor (Intel, nvidia, ...)
getVendorBytes() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
getVendorBytes() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties: Vendor (Intel, nvidia, ...)
getVendorBytes() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.DevicePropertiesOrBuilder: Vendor (Intel, nvidia, ...)
getVerificationTimeoutInMs() - Method in class org.tensorflow.proto.VerifierConfig.Builder: Deadline for completion of all verification i.e. all the Toggle ON verifiers must complete execution within this time.
getVerificationTimeoutInMs() - Method in class org.tensorflow.proto.VerifierConfig: Deadline for completion of all verification i.e. all the Toggle ON verifiers must complete execution within this time.
getVerificationTimeoutInMs() - Method in interface org.tensorflow.proto.VerifierConfigOrBuilder: Deadline for completion of all verification i.e. all the Toggle ON verifiers must complete execution within this time.
getVersion() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
getVersion() - Method in class org.tensorflow.proto.BundleHeaderProto: Versioning of the tensor bundle format.
getVersion() - Method in interface org.tensorflow.proto.BundleHeaderProtoOrBuilder: Versioning of the tensor bundle format.
getVersion() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Version of the CompressedElement.
getVersion() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement: Version of the CompressedElement.
getVersion() - Method in interface org.tensorflow.proto.data.Dataset.CompressedElementOrBuilder: Version of the CompressedElement.
getVersion() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Version of the snapshot data file format.
getVersion() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord: Version of the snapshot data file format.
getVersion() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecordOrBuilder: Version of the snapshot data file format.
getVersion() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Version specification of the fingerprint.
getVersion() - Method in class org.tensorflow.proto.FingerprintDef: Version specification of the fingerprint.
getVersion() - Method in interface org.tensorflow.proto.FingerprintDefOrBuilder: Version specification of the fingerprint.
getVersion() - Method in class org.tensorflow.proto.GraphDef.Builder: Deprecated.
tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=27
getVersion() - Method in class org.tensorflow.proto.GraphDef: Deprecated.
tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=27
getVersion() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: Deprecated.
tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=27
getVersion() - Method in class org.tensorflow.proto.OpDeprecation.Builder: First GraphDef version at which the op is disallowed.
getVersion() - Method in class org.tensorflow.proto.OpDeprecation: First GraphDef version at which the op is disallowed.
getVersion() - Method in interface org.tensorflow.proto.OpDeprecationOrBuilder: First GraphDef version at which the op is disallowed.
getVersion() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '#120-Ubuntu SMP Mon Jan 18 15:59:10 UTC 2016'
getVersion() - Method in class org.tensorflow.proto.PlatformInfo: e.g. '#120-Ubuntu SMP Mon Jan 18 15:59:10 UTC 2016'
getVersion() - Method in interface org.tensorflow.proto.PlatformInfoOrBuilder: e.g. '#120-Ubuntu SMP Mon Jan 18 15:59:10 UTC 2016'
getVersion() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Some default value of option are not proto3 default value.
getVersion() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions: Some default value of option are not proto3 default value.
getVersion() - Method in interface org.tensorflow.proto.ProfilerOptions.ProfileOptionsOrBuilder: Some default value of option are not proto3 default value.
getVersion() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
getVersion() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject: Version information from the producer of this SavedUserObject.
getVersion() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObjectOrBuilder: Version information from the producer of this SavedUserObject.
getVersion() - Method in class org.tensorflow.proto.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersion() - Method in class org.tensorflow.proto.SaverDef: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersion() - Method in interface org.tensorflow.proto.SaverDefOrBuilder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersion() - Method in class org.tensorflow.proto.SessionMetadata.Builder: The version is optional.
getVersion() - Method in class org.tensorflow.proto.SessionMetadata: The version is optional.
getVersion() - Method in interface org.tensorflow.proto.SessionMetadataOrBuilder: The version is optional.
getVersionBuilder() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
getVersionBuilder() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Version specification of the fingerprint.
getVersionBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
getVersionBytes() - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '#120-Ubuntu SMP Mon Jan 18 15:59:10 UTC 2016'
getVersionBytes() - Method in class org.tensorflow.proto.PlatformInfo: e.g. '#120-Ubuntu SMP Mon Jan 18 15:59:10 UTC 2016'
getVersionBytes() - Method in interface org.tensorflow.proto.PlatformInfoOrBuilder: e.g. '#120-Ubuntu SMP Mon Jan 18 15:59:10 UTC 2016'
getVersionNumber() - Method in class org.tensorflow.proto.TensorProto.Builder: Version number.
getVersionNumber() - Method in class org.tensorflow.proto.TensorProto: Version number.
getVersionNumber() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: Version number.
getVersionOrBuilder() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
getVersionOrBuilder() - Method in class org.tensorflow.proto.BundleHeaderProto: Versioning of the tensor bundle format.
getVersionOrBuilder() - Method in interface org.tensorflow.proto.BundleHeaderProtoOrBuilder: Versioning of the tensor bundle format.
getVersionOrBuilder() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Version specification of the fingerprint.
getVersionOrBuilder() - Method in class org.tensorflow.proto.FingerprintDef: Version specification of the fingerprint.
getVersionOrBuilder() - Method in interface org.tensorflow.proto.FingerprintDefOrBuilder: Version specification of the fingerprint.
getVersionOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
getVersionOrBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject: Version information from the producer of this SavedUserObject.
getVersionOrBuilder() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObjectOrBuilder: Version information from the producer of this SavedUserObject.
getVersions() - Method in class org.tensorflow.proto.GraphDef.Builder: Compatibility versions of the graph.
getVersions() - Method in class org.tensorflow.proto.GraphDef: Compatibility versions of the graph.
getVersions() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: Compatibility versions of the graph.
getVersions() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
getVersions() - Method in class org.tensorflow.proto.SavedTensorSliceMeta: Compatibility version of this checkpoint.
getVersions() - Method in interface org.tensorflow.proto.SavedTensorSliceMetaOrBuilder: Compatibility version of this checkpoint.
getVersionsBuilder() - Method in class org.tensorflow.proto.GraphDef.Builder: Compatibility versions of the graph.
getVersionsBuilder() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
getVersionsOrBuilder() - Method in class org.tensorflow.proto.GraphDef.Builder: Compatibility versions of the graph.
getVersionsOrBuilder() - Method in class org.tensorflow.proto.GraphDef: Compatibility versions of the graph.
getVersionsOrBuilder() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: Compatibility versions of the graph.
getVersionsOrBuilder() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
getVersionsOrBuilder() - Method in class org.tensorflow.proto.SavedTensorSliceMeta: Compatibility version of this checkpoint.
getVersionsOrBuilder() - Method in interface org.tensorflow.proto.SavedTensorSliceMetaOrBuilder: Compatibility version of this checkpoint.
getVersionValue() - Method in class org.tensorflow.proto.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersionValue() - Method in class org.tensorflow.proto.SaverDef: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVersionValue() - Method in interface org.tensorflow.proto.SaverDefOrBuilder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
getVirtualDevices(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevices(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevices(int) - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVirtualDevicesBuilder(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesBuilderList() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesCount() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesCount() - Method in class org.tensorflow.proto.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevicesCount() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVirtualDevicesList() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesList() - Method in class org.tensorflow.proto.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevicesList() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVirtualDevicesOrBuilder(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesOrBuilder(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevicesOrBuilder(int) - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVirtualDevicesOrBuilderList() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
getVirtualDevicesOrBuilderList() - Method in class org.tensorflow.proto.GPUOptions.Experimental: The multi virtual device settings.
getVirtualDevicesOrBuilderList() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: The multi virtual device settings.
getVisibility() - Method in class org.tensorflow.proto.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibility() - Method in class org.tensorflow.proto.ApiDef: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibility() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibilityValue() - Method in class org.tensorflow.proto.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibilityValue() - Method in class org.tensorflow.proto.ApiDef: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibilityValue() - Method in interface org.tensorflow.proto.ApiDefOrBuilder: .tensorflow.ApiDef.Visibility visibility = 2;
getVisibleDeviceList() - Method in class org.tensorflow.proto.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceList() - Method in class org.tensorflow.proto.GPUOptions: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceList() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceListBytes() - Method in class org.tensorflow.proto.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceListBytes() - Method in class org.tensorflow.proto.GPUOptions: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getVisibleDeviceListBytes() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
getWallTime() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Total wall time used for all iterations (in seconds)
getWallTime() - Method in class org.tensorflow.proto.BenchmarkEntry: Total wall time used for all iterations (in seconds)
getWallTime() - Method in interface org.tensorflow.proto.BenchmarkEntryOrBuilder: Total wall time used for all iterations (in seconds)
getWallTime() - Method in class org.tensorflow.proto.DebugEvent.Builder: Timestamp in seconds (with microsecond precision).
getWallTime() - Method in class org.tensorflow.proto.DebugEvent: Timestamp in seconds (with microsecond precision).
getWallTime() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: Timestamp in seconds (with microsecond precision).
getWallTime() - Method in class org.tensorflow.proto.Event.Builder: Timestamp of the event.
getWallTime() - Method in class org.tensorflow.proto.Event: Timestamp of the event.
getWallTime() - Method in interface org.tensorflow.proto.EventOrBuilder: Timestamp of the event.
getWarmStart() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool warm_start = 9;
getWarmStart() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: bool warm_start = 9;
getWarmStart() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: bool warm_start = 9;
getWarnings(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Warnings (if any) in the generation of planes;
getWarnings(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: Warnings (if any) in the generation of planes;
getWarnings(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: Warnings (if any) in the generation of planes;
getWarningsBytes(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Warnings (if any) in the generation of planes;
getWarningsBytes(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: Warnings (if any) in the generation of planes;
getWarningsBytes(int) - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: Warnings (if any) in the generation of planes;
getWarningsCount() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Warnings (if any) in the generation of planes;
getWarningsCount() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: Warnings (if any) in the generation of planes;
getWarningsCount() - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: Warnings (if any) in the generation of planes;
getWarningsList() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Warnings (if any) in the generation of planes;
getWarningsList() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace: Warnings (if any) in the generation of planes;
getWarningsList() - Method in interface org.tensorflow.proto.profiler.Xplane.XSpaceOrBuilder: Warnings (if any) in the generation of planes;
getWatchdogConfig() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
getWatchdogConfig() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest: .tensorflow.WatchdogConfig watchdog_config = 2;
getWatchdogConfig() - Method in interface org.tensorflow.proto.WorkerHeartbeatRequestOrBuilder: .tensorflow.WatchdogConfig watchdog_config = 2;
getWatchdogConfigBuilder() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
getWatchdogConfigOrBuilder() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
getWatchdogConfigOrBuilder() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest: .tensorflow.WatchdogConfig watchdog_config = 2;
getWatchdogConfigOrBuilder() - Method in interface org.tensorflow.proto.WorkerHeartbeatRequestOrBuilder: .tensorflow.WatchdogConfig watchdog_config = 2;
getWhatCase() - Method in class org.tensorflow.proto.DebugEvent.Builder
getWhatCase() - Method in class org.tensorflow.proto.DebugEvent
getWhatCase() - Method in interface org.tensorflow.proto.DebugEventOrBuilder
getWhatCase() - Method in class org.tensorflow.proto.Event.Builder
getWhatCase() - Method in class org.tensorflow.proto.Event
getWhatCase() - Method in interface org.tensorflow.proto.EventOrBuilder
getWhileCtxt() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxt() - Method in class org.tensorflow.proto.ControlFlowContextDef: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxt() - Method in interface org.tensorflow.proto.ControlFlowContextDefOrBuilder: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxtBuilder() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxtOrBuilder() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxtOrBuilder() - Method in class org.tensorflow.proto.ControlFlowContextDef: .tensorflow.WhileContextDef while_ctxt = 2;
getWhileCtxtOrBuilder() - Method in interface org.tensorflow.proto.ControlFlowContextDefOrBuilder: .tensorflow.WhileContextDef while_ctxt = 2;
getWidth() - Method in class org.tensorflow.proto.Summary.Image.Builder: int32 width = 2;
getWidth() - Method in class org.tensorflow.proto.Summary.Image: int32 width = 2;
getWidth() - Method in interface org.tensorflow.proto.Summary.ImageOrBuilder: int32 width = 2;
getWorkDir() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: A work directory to use for storing dispatcher state, and for recovering during restarts.
getWorkDir() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: A work directory to use for storing dispatcher state, and for recovering during restarts.
getWorkDir() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: A work directory to use for storing dispatcher state, and for recovering during restarts.
getWorkDirBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: A work directory to use for storing dispatcher state, and for recovering during restarts.
getWorkDirBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: A work directory to use for storing dispatcher state, and for recovering during restarts.
getWorkDirBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: A work directory to use for storing dispatcher state, and for recovering during restarts.
getWorkerAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the worker server.
getWorkerAddress() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The address of the worker server.
getWorkerAddress() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The address of the worker server.
getWorkerAddressBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the worker server.
getWorkerAddressBytes() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: The address of the worker server.
getWorkerAddressBytes() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: The address of the worker server.
getWorkerAddresses(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.)
getWorkerAddresses(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: (Optional.)
getWorkerAddresses(int) - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: (Optional.)
getWorkerAddressesBytes(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.)
getWorkerAddressesBytes(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: (Optional.)
getWorkerAddressesBytes(int) - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: (Optional.)
getWorkerAddressesCount() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.)
getWorkerAddressesCount() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: (Optional.)
getWorkerAddressesCount() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: (Optional.)
getWorkerAddressesList() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.)
getWorkerAddressesList() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: (Optional.)
getWorkerAddressesList() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: (Optional.)
getWorkerLog(int) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLog(int) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse: repeated .tensorflow.Event worker_log = 2;
getWorkerLog(int) - Method in interface org.tensorflow.proto.WorkerHeartbeatResponseOrBuilder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogBuilder(int) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogBuilderList() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogCount() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogCount() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse: repeated .tensorflow.Event worker_log = 2;
getWorkerLogCount() - Method in interface org.tensorflow.proto.WorkerHeartbeatResponseOrBuilder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogList() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogList() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse: repeated .tensorflow.Event worker_log = 2;
getWorkerLogList() - Method in interface org.tensorflow.proto.WorkerHeartbeatResponseOrBuilder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogOrBuilder(int) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogOrBuilder(int) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse: repeated .tensorflow.Event worker_log = 2;
getWorkerLogOrBuilder(int) - Method in interface org.tensorflow.proto.WorkerHeartbeatResponseOrBuilder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogOrBuilderList() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
getWorkerLogOrBuilderList() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse: repeated .tensorflow.Event worker_log = 2;
getWorkerLogOrBuilderList() - Method in interface org.tensorflow.proto.WorkerHeartbeatResponseOrBuilder: repeated .tensorflow.Event worker_log = 2;
getWorkerMaxConcurrentSnapshots() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The maximum number of snapshots that a worker can concurrently process at a given point in time.
getWorkerMaxConcurrentSnapshots() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: The maximum number of snapshots that a worker can concurrently process at a given point in time.
getWorkerMaxConcurrentSnapshots() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: The maximum number of snapshots that a worker can concurrently process at a given point in time.
getWorkerTags(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
getWorkerTags(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: Tags attached to the worker.
getWorkerTags(int) - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: Tags attached to the worker.
getWorkerTagsBytes(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
getWorkerTagsBytes(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: Tags attached to the worker.
getWorkerTagsBytes(int) - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: Tags attached to the worker.
getWorkerTagsCount() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
getWorkerTagsCount() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: Tags attached to the worker.
getWorkerTagsCount() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: Tags attached to the worker.
getWorkerTagsList() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
getWorkerTagsList() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig: Tags attached to the worker.
getWorkerTagsList() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfigOrBuilder: Tags attached to the worker.
getWorkerTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long to wait for a worker to heartbeat before considering it missing.
getWorkerTimeoutMs() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig: How long to wait for a worker to heartbeat before considering it missing.
getWorkerTimeoutMs() - Method in interface org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfigOrBuilder: How long to wait for a worker to heartbeat before considering it missing.
getWorkFinished() - Method in class org.tensorflow.proto.ReaderBaseState.Builder: int64 work_finished = 2;
getWorkFinished() - Method in class org.tensorflow.proto.ReaderBaseState: int64 work_finished = 2;
getWorkFinished() - Method in interface org.tensorflow.proto.ReaderBaseStateOrBuilder: int64 work_finished = 2;
getWorkStarted() - Method in class org.tensorflow.proto.ReaderBaseState.Builder: int64 work_started = 1;
getWorkStarted() - Method in class org.tensorflow.proto.ReaderBaseState: int64 work_started = 1;
getWorkStarted() - Method in interface org.tensorflow.proto.ReaderBaseStateOrBuilder: int64 work_started = 1;
getWriter() - Method in class org.tensorflow.proto.SourceMetadata.Builder: Low level name of the summary writer, such as `tensorflow.core.util.events_writer`.
getWriter() - Method in class org.tensorflow.proto.SourceMetadata: Low level name of the summary writer, such as `tensorflow.core.util.events_writer`.
getWriter() - Method in interface org.tensorflow.proto.SourceMetadataOrBuilder: Low level name of the summary writer, such as `tensorflow.core.util.events_writer`.
getWriterBytes() - Method in class org.tensorflow.proto.SourceMetadata.Builder: Low level name of the summary writer, such as `tensorflow.core.util.events_writer`.
getWriterBytes() - Method in class org.tensorflow.proto.SourceMetadata: Low level name of the summary writer, such as `tensorflow.core.util.events_writer`.
getWriterBytes() - Method in interface org.tensorflow.proto.SourceMetadataOrBuilder: Low level name of the summary writer, such as `tensorflow.core.util.events_writer`.
getXlaFusionAutotunerThresh() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.
getXlaFusionAutotunerThresh() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.
getXlaFusionAutotunerThresh() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.
getXlaGlobalId() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: A physical device ID for use in XLA DeviceAssignments, unique across clients in a multi-client setup.
getXlaGlobalId() - Method in class org.tensorflow.proto.DeviceAttributes: A physical device ID for use in XLA DeviceAssignments, unique across clients in a multi-client setup.
getXlaGlobalId() - Method in interface org.tensorflow.proto.DeviceAttributesOrBuilder: A physical device ID for use in XLA DeviceAssignments, unique across clients in a multi-client setup.
getXlaPreferSingleGraphCluster() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Provides a hint to XLA auto clustering to prefer forming a single large cluster that encompases most of the graph.
getXlaPreferSingleGraphCluster() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Provides a hint to XLA auto clustering to prefer forming a single large cluster that encompases most of the graph.
getXlaPreferSingleGraphCluster() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Provides a hint to XLA auto clustering to prefer forming a single large cluster that encompases most of the graph.
givenYMax - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: Output in y_max if output_range_given is True.
givenYMax(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the givenYMax option.
givenYMax(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the givenYMax option.
givenYMin - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: Output in y_min if output_range_given is True.
givenYMin(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the givenYMin option.
givenYMin(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the givenYMin option.
glimpse() - Method in class org.tensorflow.op.image.ExtractGlimpse: Gets glimpse.
GLOBAL_JIT_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizerOptions
GLOBAL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ThreadPoolOptionProto
GLOBAL_STEP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugOptions
globalIterId() - Method in class org.tensorflow.op.TpuOps: The GlobalIterId operation
GlobalIterId - Class in org.tensorflow.op.tpu: The GlobalIterId operation
GlobalIterId(Operation) - Constructor for class org.tensorflow.op.tpu.GlobalIterId
GlobalIterId.Inputs - Class in org.tensorflow.op.tpu
globals - Variable in class org.tensorflow.framework.optimizers.Optimizer: Global state variables
GlobalShuffleDataset - Class in org.tensorflow.op.data: The GlobalShuffleDataset operation
GlobalShuffleDataset(Operation) - Constructor for class org.tensorflow.op.data.GlobalShuffleDataset
GlobalShuffleDataset.Inputs - Class in org.tensorflow.op.data
GlobalShuffleDataset.Options - Class in org.tensorflow.op.data: Optional attributes for GlobalShuffleDataset
globalStep - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Training step number.
globalStep - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Training step number.
globalStep - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Training step number.
globalStep - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Training step number.
Glorot<T> - Class in org.tensorflow.framework.initializers: The Glorot initializer, also called Xavier initializer.
Glorot(VarianceScaling.Distribution, long) - Constructor for class org.tensorflow.framework.initializers.Glorot: Creates a Glorot initializer
GPU - Enum constant in enum org.tensorflow.DeviceSpec.DeviceType
GPU - Enum constant in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: GPU = 2;
GPU_HOST_MEM_DISALLOW_GROWTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
GPU_HOST_MEM_LIMIT_IN_MB_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
GPU_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
GPU_SYSTEM_MEMORY_SIZE_IN_MB_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
GPU_VALUE - Static variable in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: GPU = 2;
GPUInfo - Class in org.tensorflow.proto: Protobuf type tensorflow.GPUInfo
GPUInfo.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.GPUInfo
GPUInfoOrBuilder - Interface in org.tensorflow.proto
GPUOptions - Class in org.tensorflow.proto: Protobuf type tensorflow.GPUOptions
GPUOptions.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.GPUOptions
GPUOptions.Experimental - Class in org.tensorflow.proto: Protobuf type tensorflow.GPUOptions.Experimental
GPUOptions.Experimental.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.GPUOptions.Experimental
GPUOptions.Experimental.StreamMergeOptions - Class in org.tensorflow.proto: Whether to merge data transfer streams into the compute stream in the same stream group.
GPUOptions.Experimental.StreamMergeOptions.Builder - Class in org.tensorflow.proto: Whether to merge data transfer streams into the compute stream in the same stream group.
GPUOptions.Experimental.StreamMergeOptionsOrBuilder - Interface in org.tensorflow.proto
GPUOptions.Experimental.VirtualDevices - Class in org.tensorflow.proto: Configuration for breaking down a visible GPU into multiple "virtual" devices.
GPUOptions.Experimental.VirtualDevices.Builder - Class in org.tensorflow.proto: Configuration for breaking down a visible GPU into multiple "virtual" devices.
GPUOptions.Experimental.VirtualDevicesOrBuilder - Interface in org.tensorflow.proto
GPUOptions.ExperimentalOrBuilder - Interface in org.tensorflow.proto
GPUOptionsOrBuilder - Interface in org.tensorflow.proto
grad - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The grad input
grad - Variable in class org.tensorflow.op.linalg.BatchCholeskyGrad.Inputs: The grad input
grad - Variable in class org.tensorflow.op.linalg.CholeskyGrad.Inputs: df/dl where f is some scalar function.
grad - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: Output backprop of shape [batch, depth, rows, cols, channels].
grad - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: 4-D with shape [batch, height, width, channels].
grad - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: Output backprop of shape [batch, depth, rows, cols, channels].
grad - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: Output backprop of shape [batch, depth, rows, cols, channels].
grad - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: 4-D.
grad - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: 4-D.
grad - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: 4-D with shape [batch, height, width, channels].
grad - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: 4-D with shape [batch, height, width, channels].
grad - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: gradient propagated to the SparseSegmentMean op.
grad - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: gradient propagated to the SparseSegmentSqrtN op.
grad - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: gradient propagated to the SparseSegmentSum op.
grad - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: The gradient.
gradA - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The gradA attribute
gradA(Boolean) - Static method in class org.tensorflow.op.linalg.MatMul: Sets the gradA option.
gradA(Boolean) - Method in class org.tensorflow.op.linalg.MatMul.Options: Sets the gradA option.
GradAndVar(Output, Output) - Constructor for class org.tensorflow.framework.optimizers.Optimizer.GradAndVar: Creates a Gradient and Variable pair
gradB - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The gradB attribute
gradB(Boolean) - Static method in class org.tensorflow.op.linalg.MatMul: Sets the gradB option.
gradB(Boolean) - Method in class org.tensorflow.op.linalg.MatMul.Options: Sets the gradB option.
gradHandle() - Method in class org.tensorflow.op.core.TensorArrayGrad: Gets gradHandle.
gradHandle() - Method in class org.tensorflow.op.core.TensorArrayGradWithShape: Gets gradHandle.
gradient - Variable in class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs: A tensor of the gradient to be accumulated.
gradient - Variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs: A tensor of the gradient to be accumulated.
gradient - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs: The gradient input
gradient - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The gradient input
gradient - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The gradient input
gradient - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The gradient input
gradient - Variable in class org.tensorflow.op.xla.XlaSparseCoreSgd.Inputs: The gradient input
gradient() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad: Gets gradient.
gradient() - Method in class org.tensorflow.op.nn.CtcLoss: Gets gradient.
gradient() - Method in class org.tensorflow.op.nn.CTCLossV2: Gets gradient.
GRADIENT_DESCENT - Enum constant in enum org.tensorflow.framework.optimizers.Optimizers
GRADIENT_DESCENT - Enum constant in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: GRADIENT_DESCENT = 2;
GRADIENT_DESCENT_VALUE - Static variable in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: GRADIENT_DESCENT = 2;
GRADIENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FunctionDefLibrary
GRADIENT_FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GradientDef
GRADIENT_FUNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RegisteredGradient
gradientAccumulator - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Should be from a Variable().
gradientAccumulator - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Should be from a Variable().
gradientAccumulator - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Should be from a Variable().
gradientAccumulator - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Should be from a Variable().
GradientDef - Class in org.tensorflow.proto: GradientDef defines the gradient function of a function defined in a function library.
GradientDef.Builder - Class in org.tensorflow.proto: GradientDef defines the gradient function of a function defined in a function library.
GradientDefOrBuilder - Interface in org.tensorflow.proto
GradientDescent - Class in org.tensorflow.framework.optimizers: Basic Stochastic gradient descent optimizer.
GradientDescent(Graph) - Constructor for class org.tensorflow.framework.optimizers.GradientDescent: Creates a GradientDescent Optimizer
GradientDescent(Graph, float) - Constructor for class org.tensorflow.framework.optimizers.GradientDescent: Creates a GradientDescent Optimizer
GradientDescent(Graph, String, float) - Constructor for class org.tensorflow.framework.optimizers.GradientDescent: Creates a GradientDescent Optimizer
gradientIndices - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: Indices of the sparse gradient to be accumulated.
gradients - Variable in class org.tensorflow.op.data.LeakyReluGrad.Inputs: The backpropagated gradients to the corresponding LeakyRelu operation.
gradients - Variable in class org.tensorflow.op.math.SoftplusGrad.Inputs: The backpropagated gradients to the corresponding softplus operation.
gradients - Variable in class org.tensorflow.op.nn.EluGrad.Inputs: The backpropagated gradients to the corresponding Elu operation.
gradients - Variable in class org.tensorflow.op.nn.Relu6Grad.Inputs: The backpropagated gradients to the corresponding Relu6 operation.
gradients - Variable in class org.tensorflow.op.nn.ReluGrad.Inputs: The backpropagated gradients to the corresponding Relu operation.
gradients - Variable in class org.tensorflow.op.nn.SeluGrad.Inputs: The backpropagated gradients to the corresponding Selu operation.
gradients - Variable in class org.tensorflow.op.nn.SoftsignGrad.Inputs: The backpropagated gradients to the corresponding softsign operation.
gradients - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: Backpropagated gradients above the FakeQuantWithMinMaxArgs operation.
gradients - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: Backpropagated gradients above the FakeQuantWithMinMaxVars operation.
gradients - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: Backpropagated gradients above the FakeQuantWithMinMaxVars operation, shape one of: [d], [b, d], [b, h, w, d].
gradients - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The gradients input
gradients - Variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs: A TensorList of gradients with which to update embedding tables.
gradients(Iterable, Iterable, Gradients.Options...) - Method in class org.tensorflow.op.Ops: Adds gradients computation ops to the graph according to scope.
gradients(Operand, Iterable, Gradients.Options...) - Method in class org.tensorflow.op.Ops: Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...
Gradients - Class in org.tensorflow.op.core: Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...
Gradients.Options - Class in org.tensorflow.op.core: Optional attributes for Gradients
gradientShape - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: Shape of the sparse gradient to be accumulated.
gradientSquaredAccumulator - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Should be from a Variable().
gradientSquaredAccumulator - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Should be from a Variable().
gradientSquaredAccumulator - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Should be from a Variable().
gradientSquaredAccumulator - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Should be from a Variable().
gradientValues - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: Values are the non-zero slices of the gradient, and must have the same first dimension as indices, i.e., the nnz represented by indices and values must be consistent.
grads - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A 4-D tensor of shape [num_boxes, crop_height, crop_width, depth].
grads - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A 4-D tensor of shape [num_boxes, crop_height, crop_width, depth].
grads - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: 4-D with shape [batch, height, width, channels].
grads - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: 4-D with shape [batch, height, width, channels].
grads - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: 4-D with shape [batch, height, width, channels].
grads - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The grads input
gradSoftmax - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad.Inputs: The gradient of softmax.
gradTimeoutMicros - Variable in class org.tensorflow.op.core.Batch.Inputs: The gradTimeoutMicros attribute
gradValues - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad.Inputs: The gradValues input
gradValues - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad.Inputs: 1-D.
gradX - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: The gradX attribute
gradX(Boolean) - Static method in class org.tensorflow.op.train.BatchMatMul: Sets the gradX option.
gradX(Boolean) - Method in class org.tensorflow.op.train.BatchMatMul.Options: Sets the gradX option.
gradY - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: The gradY attribute
gradY(Boolean) - Static method in class org.tensorflow.op.train.BatchMatMul: Sets the gradY option.
gradY(Boolean) - Method in class org.tensorflow.op.train.BatchMatMul.Options: Sets the gradY option.
graph - Variable in class org.tensorflow.framework.optimizers.Optimizer: The Graph this optimizer is operating on.
graph - Variable in class org.tensorflow.internal.c_api.AbstractTF_Session: References to prevent deallocation.
graph() - Method in class org.tensorflow.op.data.DatasetToGraph: Gets graph.
graph() - Method in class org.tensorflow.SavedModelBundle: Returns the graph that describes the computation performed by the model.
graph() - Method in class org.tensorflow.Session
Graph - Class in org.tensorflow: A data flow graph representing a TensorFlow computation.
Graph() - Constructor for class org.tensorflow.Graph: Create an empty Graph.
GRAPH - Enum constant in enum org.tensorflow.ExecutionEnvironment.Types
GRAPH_DEF - Enum constant in enum org.tensorflow.proto.Event.WhatCase
GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Event
GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef
GRAPH_DEF_PROGRAM_HASH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FingerprintDef
GRAPH_EXECUTION_TRACE - Enum constant in enum org.tensorflow.proto.DebugEvent.WhatCase
GRAPH_EXECUTION_TRACE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugEvent
GRAPH_HASH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
GRAPH_ID - Enum constant in enum org.tensorflow.proto.DebugEvent.WhatCase
GRAPH_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugEvent
GRAPH_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedGraph
GRAPH_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Execution
GRAPH_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOpCreation
GRAPH_INPUT_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferInfo
GRAPH_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedGraph
GRAPH_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOpCreation
GRAPH_OP_CREATION - Enum constant in enum org.tensorflow.proto.DebugEvent.WhatCase
GRAPH_OP_CREATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugEvent
GRAPH_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
GRAPH_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
GRAPH_OUTPUT_NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferInfo
Graph.WhileSubgraphBuilder - Interface in org.tensorflow: Used to instantiate an abstract class which overrides the buildSubgraph method to build a conditional or body subgraph for a while loop.
GraphDebugInfo - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphDebugInfo
GraphDebugInfo.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphDebugInfo
GraphDebugInfo.FileLineCol - Class in org.tensorflow.proto: This represents a file/line location in the source code.
GraphDebugInfo.FileLineCol.Builder - Class in org.tensorflow.proto: This represents a file/line location in the source code.
GraphDebugInfo.FileLineColOrBuilder - Interface in org.tensorflow.proto
GraphDebugInfo.StackTrace - Class in org.tensorflow.proto: This represents a stack trace which is a ordered list of `FileLineCol`.
GraphDebugInfo.StackTrace.Builder - Class in org.tensorflow.proto: This represents a stack trace which is a ordered list of `FileLineCol`.
GraphDebugInfo.StackTraceOrBuilder - Interface in org.tensorflow.proto
GraphDebugInfoOrBuilder - Interface in org.tensorflow.proto
GraphDebugInfoProtos - Class in org.tensorflow.proto
graphDef - Variable in class org.tensorflow.op.data.DatasetFromGraph.Inputs: The graph representation of the dataset (as serialized GraphDef).
GraphDef - Class in org.tensorflow.proto: Represents the graph of operations
GraphDef.Builder - Class in org.tensorflow.proto: Represents the graph of operations
GraphDefOrBuilder - Interface in org.tensorflow.proto
GraphExecutionTrace - Class in org.tensorflow.proto: Data relating to an execution of a Graph (e.g., an eager execution of a FuncGraph).
GraphExecutionTrace.Builder - Class in org.tensorflow.proto: Data relating to an execution of a Graph (e.g., an eager execution of a FuncGraph).
GraphExecutionTraceOrBuilder - Interface in org.tensorflow.proto
GraphOpCreation - Class in org.tensorflow.proto: The creation of an op in a TensorFlow Graph (e.g., FuncGraph in TF2).
GraphOpCreation.Builder - Class in org.tensorflow.proto: The creation of an op in a TensorFlow Graph (e.g., FuncGraph in TF2).
GraphOpCreationOrBuilder - Interface in org.tensorflow.proto
GraphOperation - Class in org.tensorflow: Implementation for an Operation added as a node to a Graph.
GraphOperation - Static variable in class org.tensorflow.generator.op.Names
GraphOperationBuilder - Class in org.tensorflow: An OperationBuilder for adding GraphOperations to a Graph.
GraphOptions - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphOptions
GraphOptions.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphOptions
GraphOptionsOrBuilder - Interface in org.tensorflow.proto
GraphProtos - Class in org.tensorflow.proto
GraphTransferConstNodeInfo - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferConstNodeInfo
GraphTransferConstNodeInfo.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferConstNodeInfo
GraphTransferConstNodeInfoOrBuilder - Interface in org.tensorflow.proto
GraphTransferGraphInputNodeInfo - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferGraphInputNodeInfo
GraphTransferGraphInputNodeInfo.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferGraphInputNodeInfo
GraphTransferGraphInputNodeInfoOrBuilder - Interface in org.tensorflow.proto
GraphTransferGraphOutputNodeInfo - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo
GraphTransferGraphOutputNodeInfo.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferGraphOutputNodeInfo
GraphTransferGraphOutputNodeInfoOrBuilder - Interface in org.tensorflow.proto
GraphTransferInfo - Class in org.tensorflow.proto: Protocol buffer representing a handle to a tensorflow resource.
GraphTransferInfo.Builder - Class in org.tensorflow.proto: Protocol buffer representing a handle to a tensorflow resource.
GraphTransferInfo.Destination - Enum in org.tensorflow.proto: Protobuf enum tensorflow.GraphTransferInfo.Destination
GraphTransferInfoOrBuilder - Interface in org.tensorflow.proto
GraphTransferInfoProto - Class in org.tensorflow.proto
GraphTransferNodeInfo - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferNodeInfo
GraphTransferNodeInfo.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferNodeInfo
GraphTransferNodeInfoOrBuilder - Interface in org.tensorflow.proto
GraphTransferNodeInput - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferNodeInput
GraphTransferNodeInput.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferNodeInput
GraphTransferNodeInputInfo - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferNodeInputInfo
GraphTransferNodeInputInfo.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferNodeInputInfo
GraphTransferNodeInputInfoOrBuilder - Interface in org.tensorflow.proto
GraphTransferNodeInputOrBuilder - Interface in org.tensorflow.proto
GraphTransferNodeOutputInfo - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferNodeOutputInfo
GraphTransferNodeOutputInfo.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.GraphTransferNodeOutputInfo
GraphTransferNodeOutputInfoOrBuilder - Interface in org.tensorflow.proto
greater(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x > y) element-wise.
Greater - Class in org.tensorflow.op.math: Returns the truth value of (x > y) element-wise.
Greater(Operation) - Constructor for class org.tensorflow.op.math.Greater
Greater.Inputs<T> - Class in org.tensorflow.op.math
greaterEqual(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x >= y) element-wise.
GreaterEqual - Class in org.tensorflow.op.math: Returns the truth value of (x >= y) element-wise.
GreaterEqual(Operation) - Constructor for class org.tensorflow.op.math.GreaterEqual
GreaterEqual.Inputs<T> - Class in org.tensorflow.op.math
group() - Element in annotation type org.tensorflow.op.annotation.Endpoint: Specify an optional group within the Ops class.
group() - Element in annotation type org.tensorflow.op.annotation.Operator: Specify an optional group within the Ops class.
groupAssignment - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The groupAssignment input
groupAssignment - Variable in class org.tensorflow.op.collective.CollectiveAssignGroup.Inputs: The groupAssignment input
groupAssignment - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The groupAssignment input
groupAssignment - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: An int32 tensor with shape [num_groups, num_replicas_per_group].
groupAssignment - Variable in class org.tensorflow.op.tpu.CrossReplicaSum.Inputs: An int32 tensor with shape [num_groups, num_replicas_per_group].
groupByReducerDataset(Operand, Iterable, Iterable, Iterable, Iterable, ConcreteFunction, ConcreteFunction, ConcreteFunction, ConcreteFunction, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that computes a group-by on input_dataset.
groupByReducerDataset(Operand, Iterable, Iterable, Iterable, Iterable, ConcreteFunction, ConcreteFunction, ConcreteFunction, ConcreteFunction, List, List) - Method in class org.tensorflow.op.DataOps: Creates a dataset that computes a group-by on input_dataset.
GroupByReducerDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that computes a group-by on input_dataset.
GroupByReducerDataset - Class in org.tensorflow.op.data: Creates a dataset that computes a group-by on input_dataset.
GroupByReducerDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.GroupByReducerDataset
GroupByReducerDataset(Operation) - Constructor for class org.tensorflow.op.data.GroupByReducerDataset
GroupByReducerDataset.Inputs - Class in org.tensorflow.op.data.experimental
GroupByReducerDataset.Inputs - Class in org.tensorflow.op.data
groupByWindowDataset(Operand, Iterable, Iterable, Iterable, ConcreteFunction, ConcreteFunction, ConcreteFunction, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that computes a windowed group-by on input_dataset. // TODO(mrry): Support non-int64 keys.
groupByWindowDataset(Operand, Iterable, Iterable, Iterable, ConcreteFunction, ConcreteFunction, ConcreteFunction, List, List, GroupByWindowDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that computes a windowed group-by on input_dataset. // TODO(mrry): Support non-int64 keys.
GroupByWindowDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that computes a windowed group-by on input_dataset. // TODO(mrry): Support non-int64 keys.
GroupByWindowDataset - Class in org.tensorflow.op.data: Creates a dataset that computes a windowed group-by on input_dataset. // TODO(mrry): Support non-int64 keys.
GroupByWindowDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.GroupByWindowDataset
GroupByWindowDataset(Operation) - Constructor for class org.tensorflow.op.data.GroupByWindowDataset
GroupByWindowDataset.Inputs - Class in org.tensorflow.op.data.experimental
GroupByWindowDataset.Inputs - Class in org.tensorflow.op.data
GroupByWindowDataset.Options - Class in org.tensorflow.op.data: Optional attributes for GroupByWindowDataset
groupKey - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The groupKey input
groupKey - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The groupKey input
groupKey - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The groupKey input
groupKey - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The groupKey input
groupKey - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The groupKey input
groupKey() - Method in class org.tensorflow.op.collective.CollectiveAssignGroup: Gets groupKey.
groups - Variable in class org.tensorflow.op.nn.Conv.Inputs: A positive integer specifying the number of groups in which the input is split along the channel axis.
groups(Long) - Static method in class org.tensorflow.op.nn.Conv: Sets the groups option.
groups(Long) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the groups option.
groupSize - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The groupSize input
groupSize - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The groupSize input
groupSize - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The groupSize input
groupSize - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The groupSize input
groupSize - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The groupSize input
groupSize() - Method in class org.tensorflow.op.collective.CollectiveAssignGroup: Gets groupSize.
gRUBlockCell(Operand, Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.NnOps: Computes the GRU cell forward propagation for 1 time step.
GRUBlockCell<T> - Class in org.tensorflow.op.nn: Computes the GRU cell forward propagation for 1 time step.
GRUBlockCell(Operation) - Constructor for class org.tensorflow.op.nn.GRUBlockCell
GRUBlockCell.Inputs<T> - Class in org.tensorflow.op.nn
gRUBlockCellGrad(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.NnOps: Computes the GRU cell back-propagation for 1 time step.
GRUBlockCellGrad<T> - Class in org.tensorflow.op.nn: Computes the GRU cell back-propagation for 1 time step.
GRUBlockCellGrad(Operation) - Constructor for class org.tensorflow.op.nn.GRUBlockCellGrad
GRUBlockCellGrad.Inputs<T> - Class in org.tensorflow.op.nn
guaranteeConst(Operand) - Method in class org.tensorflow.op.Ops: Gives a guarantee to the TF runtime that the input tensor is a constant.
GuaranteeConst<T> - Class in org.tensorflow.op.core: Gives a guarantee to the TF runtime that the input tensor is a constant.
GuaranteeConst(Operation) - Constructor for class org.tensorflow.op.core.GuaranteeConst
GuaranteeConst.Inputs<T> - Class in org.tensorflow.op.core
guaranteedConstants - Variable in class org.tensorflow.op.tpu.Compile.Inputs: The guaranteedConstants input

H

h - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The output h vector over the whole time sequence.
h() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets h.
h() - Method in class org.tensorflow.op.nn.GRUBlockCell: Gets h.
h() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets h.
HALF_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
halfPixelCenters - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: The halfPixelCenters attribute
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: The halfPixelCenters attribute
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: The halfPixelCenters attribute
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: The halfPixelCenters attribute
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: The halfPixelCenters attribute
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: The halfPixelCenters attribute
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: The halfPixelCenters attribute
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.QuantizedResizeBilinear: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.QuantizedResizeBilinear.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubic: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubic.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubicGrad: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubicGrad.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinear: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinear.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinearGrad: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinearGrad.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighbor: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighbor.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighborGrad: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Options: Sets the halfPixelCenters option.
handle - Variable in class org.tensorflow.op.core.BarrierClose.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.BarrierIncompleteSize.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.BarrierReadySize.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.DeleteSessionTensor.Inputs: The handle for a tensor stored in the session state.
handle - Variable in class org.tensorflow.op.core.GetSessionTensor.Inputs: The handle for a tensor stored in the session state.
handle - Variable in class org.tensorflow.op.core.StackClose.Inputs: The handle to a stack.
handle - Variable in class org.tensorflow.op.core.StackPop.Inputs: The handle to a stack.
handle - Variable in class org.tensorflow.op.core.StackPush.Inputs: The handle to a stack.
handle - Variable in class org.tensorflow.op.core.TensorArrayClose.Inputs: The handle to a TensorArray (output of TensorArray or TensorArrayGrad).
handle - Variable in class org.tensorflow.op.core.TensorArrayConcat.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayGrad.Inputs: The handle to the forward TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs: The handle to the forward TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayPack.Inputs: The handle input
handle - Variable in class org.tensorflow.op.core.TensorArrayRead.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArraySize.Inputs: The handle to a TensorArray (output of TensorArray or TensorArrayGrad).
handle - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayUnpack.Inputs: The handle input
handle - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.data.DeleteIterator.Inputs: A handle to the iterator to delete.
handle - Variable in class org.tensorflow.op.data.DeleteMemoryCache.Inputs: The handle input
handle - Variable in class org.tensorflow.op.io.QueueClose.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueDequeue.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueDequeueMany.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueDequeueUpTo.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueEnqueue.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueEnqueueMany.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueIsClosed.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueSize.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.random.DeleteRandomSeedGenerator.Inputs: The handle input
handle - Variable in class org.tensorflow.op.random.DeleteSeedGenerator.Inputs: The handle input
handle - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: The handle to a accumulator.
handle - Variable in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs: The handle to a SparseConditionalAccumulator.
handle - Variable in class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs: The handle to a accumulator.
handle - Variable in class org.tensorflow.op.train.AccumulatorNumAccumulated.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.AccumulatorSetGlobalStep.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.AccumulatorTakeGradient.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs: The handle to a accumulator.
handle - Variable in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient.Inputs: The handle to an accumulator.
handle() - Method in class org.tensorflow.op.core.Barrier: Gets handle.
handle() - Method in class org.tensorflow.op.core.DummyMemoryCache: Gets handle.
handle() - Method in class org.tensorflow.op.core.EmptyTensorList: Gets handle.
handle() - Method in class org.tensorflow.op.core.EmptyTensorMap: Gets handle.
handle() - Method in class org.tensorflow.op.core.GetSessionHandle: Gets handle.
handle() - Method in class org.tensorflow.op.core.StackCreate: Gets handle.
handle() - Method in class org.tensorflow.op.core.TensorArray: Gets handle.
handle() - Method in class org.tensorflow.op.core.TensorListReserve: Gets handle.
handle() - Method in class org.tensorflow.op.data.AnonymousIterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.AnonymousMemoryCache: Gets handle.
handle() - Method in class org.tensorflow.op.data.AnonymousMultiDeviceIterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.AssertCardinalityDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.AssertNextDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.AssertPrevDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.AutoShardDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.BatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.BytesProducedStatsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.CacheDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ChooseFastestBranchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ChooseFastestDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ConcatenateDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.CSVDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.DataServiceDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.DatasetFromGraph: Gets handle.
handle() - Method in class org.tensorflow.op.data.DenseToSparseBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.DirectedInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.DummyIterationCounter: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.AssertNextDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.AutoShardDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ChooseFastestDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.CSVDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.GroupByReducerDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.GroupByWindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.LatencyStatsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.LmdbDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.MapAndBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.MapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.MatchingFilesDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.NonSerializableDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ParseExampleDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.RandomDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.RebatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ScanDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.SleepDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.SlidingWindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.SqlDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.TakeWhileDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ThreadPoolDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.UnbatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.UniqueDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.FilterDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.FinalizeDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.FixedLengthRecordDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.FlatMapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.GeneratorDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.GlobalShuffleDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.GroupByReducerDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.GroupByWindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.IgnoreErrorsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.IndexFlatMapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.InterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.Iterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.LatencyStatsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ListDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ListSnapshotChunksDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.LMDBDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.LoadDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MapAndBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MatchingFilesDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MaxIntraOpParallelismDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ModelDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MultiDeviceIterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.NonSerializableDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.OneShotIterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.OptimizeDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.OptionsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.PaddedBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParallelBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParallelFilterDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParallelInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParallelMapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParseExampleDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.PrefetchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.PrivateThreadPoolDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.RandomDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.RangeDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.RebatchDatasetV2: Gets handle.
handle() - Method in class org.tensorflow.op.data.RepeatDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.RewriteDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SamplingDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ScanDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SetStatsAggregatorDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ShardDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ShuffleDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SkipDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SleepDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SlidingWindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SnapshotChunkDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SnapshotDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SnapshotDatasetReader: Gets handle.
handle() - Method in class org.tensorflow.op.data.SnapshotNestedDatasetReader: Gets handle.
handle() - Method in class org.tensorflow.op.data.SparseTensorSliceDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SqlDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.StatsAggregatorHandle: Gets handle.
handle() - Method in class org.tensorflow.op.data.TakeDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TakeWhileDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TensorDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TensorSliceDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TextLineDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TfRecordDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ThreadPoolDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ThreadPoolHandle: Gets handle.
handle() - Method in class org.tensorflow.op.data.UnbatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.UniqueDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.WeightedFlatMapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.WindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.WindowOp: Gets handle.
handle() - Method in class org.tensorflow.op.data.ZipDataset: Gets handle.
handle() - Method in class org.tensorflow.op.io.FakeQueue: Gets handle.
handle() - Method in class org.tensorflow.op.io.FifoQueue: Gets handle.
handle() - Method in class org.tensorflow.op.io.PaddingFifoQueue: Gets handle.
handle() - Method in class org.tensorflow.op.io.PriorityQueue: Gets handle.
handle() - Method in class org.tensorflow.op.io.RandomShuffleQueue: Gets handle.
handle() - Method in class org.tensorflow.op.random.AnonymousRandomSeedGenerator: Gets handle.
handle() - Method in class org.tensorflow.op.random.AnonymousSeedGenerator: Gets handle.
handle() - Method in class org.tensorflow.op.random.DummySeedGenerator: Gets handle.
handle() - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Gets handle.
handle() - Method in class org.tensorflow.op.train.ConditionalAccumulator: Gets handle.
handle() - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Gets handle.
HANDLE_DATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
HANDLE_DATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.ArgDef
HANDLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogStep
HARD_SIGMOID - Enum constant in enum org.tensorflow.framework.activations.Activations
hardSigmoid(Ops, Operand) - Static method in class org.tensorflow.framework.activations.HardSigmoid: Computes the hard sigmoid activation function.
HardSigmoid - Class in org.tensorflow.framework.activations: Hard sigmoid activation.
HardSigmoid() - Constructor for class org.tensorflow.framework.activations.HardSigmoid: Creates Hard sigmoid activation.
HardSigmoid(Map) - Constructor for class org.tensorflow.framework.activations.HardSigmoid: Creates a new Exponential from a configuration Map
HARDWARE_TRACE - Enum constant in enum org.tensorflow.proto.RunOptions.TraceLevel: HARDWARE_TRACE = 2;
HARDWARE_TRACE_VALUE - Static variable in enum org.tensorflow.proto.RunOptions.TraceLevel: HARDWARE_TRACE = 2;
HAS_CHECKPOINT_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
HAS_MINIMUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.AttrDef
HAS_SINGLE_REFERENCE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocationDescription
hasAllocationDescription() - Method in class org.tensorflow.proto.TensorDescription.Builder: Information about the size and allocator used for the data
hasAllocationDescription() - Method in class org.tensorflow.proto.TensorDescription: Information about the size and allocator used for the data
hasAllocationDescription() - Method in interface org.tensorflow.proto.TensorDescriptionOrBuilder: Information about the size and allocator used for the data
hasAllowedValues() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
hasAllowedValues() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint: A list of values that this kernel supports for this attr.
hasAllowedValues() - Method in interface org.tensorflow.proto.KernelDef.AttrConstraintOrBuilder: A list of values that this kernel supports for this attr.
hasAllowedValues() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: The set of allowed values.
hasAllowedValues() - Method in class org.tensorflow.proto.OpDef.AttrDef: The set of allowed values.
hasAllowedValues() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: The set of allowed values.
hasAnyInfo() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
hasAnyInfo() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: A serialized protobuf.
hasAnyInfo() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: A serialized protobuf.
hasAnyList() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
hasAnyList() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.AnyList any_list = 5;
hasAnyList() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.AnyList any_list = 5;
hasApplyDefaultOptimizations() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool apply_default_optimizations = 1;
hasApplyDefaultOptimizations() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool apply_default_optimizations = 1;
hasApplyDefaultOptimizations() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool apply_default_optimizations = 1;
hasAsset() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
hasAsset() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedAsset asset = 5;
hasAsset() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedAsset asset = 5;
hasAudio() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
hasAudio() - Method in class org.tensorflow.proto.Summary.Value: .tensorflow.Summary.Audio audio = 6;
hasAudio() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: .tensorflow.Summary.Audio audio = 6;
hasAutoParallel() - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
hasAutoParallel() - Method in class org.tensorflow.proto.RewriterConfig: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
hasAutoParallel() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
hasAutotuneAlgorithm() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: .tensorflow.data.model.AutotuneAlgorithm autotune_algorithm = 4;
hasAutotuneAlgorithm() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions: .tensorflow.data.model.AutotuneAlgorithm autotune_algorithm = 4;
hasAutotuneAlgorithm() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder: .tensorflow.data.model.AutotuneAlgorithm autotune_algorithm = 4;
hasAutotuneOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The autotune options associated with the dataset.
hasAutotuneOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The autotune options associated with the dataset.
hasAutotuneOptions() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The autotune options associated with the dataset.
hasB() - Method in class org.tensorflow.proto.AttrValue.Builder: "bool"
hasB() - Method in class org.tensorflow.proto.AttrValue: "bool"
hasB() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "bool"
hasBareConcreteFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
hasBareConcreteFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
hasBareConcreteFunction() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
hasBoolValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a boolean value.
hasBoolValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a boolean value.
hasBoolValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a boolean value.
hasBoundedTensorSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
hasBoundedTensorSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for tf.BoundedTensorSpec.
hasBoundedTensorSpecValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for tf.BoundedTensorSpec.
hasBuildConfiguration() - Method in class org.tensorflow.proto.TestResults.Builder: The configuration of the build (compiled opt?
hasBuildConfiguration() - Method in class org.tensorflow.proto.TestResults: The configuration of the build (compiled opt?
hasBuildConfiguration() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The configuration of the build (compiled opt?
hasBytesList() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
hasBytesList() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.BytesList bytes_list = 2;
hasBytesList() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
hasBytesList() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
hasBytesList() - Method in class org.tensorflow.proto.Feature: .tensorflow.BytesList bytes_list = 1;
hasBytesList() - Method in interface org.tensorflow.proto.FeatureOrBuilder: .tensorflow.BytesList bytes_list = 1;
hasBytesValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: bytes bytes_value = 6;
hasBytesValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: bytes bytes_value = 6;
hasBytesValue() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: bytes bytes_value = 6;
hasCanonicalizedInputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
hasCanonicalizedInputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction: Input in canonicalized form that was received to create this concrete function.
hasCanonicalizedInputSignature() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunctionOrBuilder: Input in canonicalized form that was received to create this concrete function.
hasCapturedRef - Variable in class org.tensorflow.op.data.FinalizeDataset.Inputs: The hasCapturedRef attribute
hasCapturedRef(Boolean) - Static method in class org.tensorflow.op.data.FinalizeDataset: Sets the hasCapturedRef option.
hasCapturedRef(Boolean) - Method in class org.tensorflow.op.data.FinalizeDataset.Options: Sets the hasCapturedRef option.
hasCapturedTensor() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
hasCapturedTensor() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.CapturedTensor captured_tensor = 12;
hasCapturedTensor() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.CapturedTensor captured_tensor = 12;
hasChangelist() - Method in class org.tensorflow.proto.CommitId.Builder: Submitted changelist.
hasChangelist() - Method in class org.tensorflow.proto.CommitId: Submitted changelist.
hasChangelist() - Method in interface org.tensorflow.proto.CommitIdOrBuilder: Submitted changelist.
hasCluster() - Method in class org.tensorflow.proto.ServerDef.Builder: The cluster of which this server is a member.
hasCluster() - Method in class org.tensorflow.proto.ServerDef: The cluster of which this server is a member.
hasCluster() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: The cluster of which this server is a member.
hasClusterDef() - Method in class org.tensorflow.proto.ConfigProto.Builder: Optional list of all workers to use in this session.
hasClusterDef() - Method in class org.tensorflow.proto.ConfigProto: Optional list of all workers to use in this session.
hasClusterDef() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Optional list of all workers to use in this session.
hasClusterDeviceFilters() - Method in class org.tensorflow.proto.ServerDef.Builder: Device filters for remote tasks in the cluster.
hasClusterDeviceFilters() - Method in class org.tensorflow.proto.ServerDef: Device filters for remote tasks in the cluster.
hasClusterDeviceFilters() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: Device filters for remote tasks in the cluster.
hasCode() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Source code contained in this file line.
hasCode() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: Source code contained in this file line.
hasCode() - Method in interface org.tensorflow.proto.GraphDebugInfo.FileLineColOrBuilder: Source code contained in this file line.
hasCodeLocation() - Method in class org.tensorflow.proto.Execution.Builder: Stack trace of the eager execution.
hasCodeLocation() - Method in class org.tensorflow.proto.Execution: Stack trace of the eager execution.
hasCodeLocation() - Method in interface org.tensorflow.proto.ExecutionOrBuilder: Stack trace of the eager execution.
hasCodeLocation() - Method in class org.tensorflow.proto.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
hasCodeLocation() - Method in class org.tensorflow.proto.GraphOpCreation: The unique ID for code location (stack trace) of the op's creation.
hasCodeLocation() - Method in interface org.tensorflow.proto.GraphOpCreationOrBuilder: The unique ID for code location (stack trace) of the op's creation.
hasCol() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Col number in the file line.
hasCol() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: Col number in the file line.
hasCol() - Method in interface org.tensorflow.proto.GraphDebugInfo.FileLineColOrBuilder: Col number in the file line.
hasCommitId() - Method in class org.tensorflow.proto.TestResults.Builder: The commit id (git hash or changelist)
hasCommitId() - Method in class org.tensorflow.proto.TestResults: The commit id (git hash or changelist)
hasCommitId() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The commit id (git hash or changelist)
hasCompositeTensor() - Method in class org.tensorflow.proto.TensorInfo.Builder: Generic encoding for CompositeTensors.
hasCompositeTensor() - Method in class org.tensorflow.proto.TensorInfo: Generic encoding for CompositeTensors.
hasCompositeTensor() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: Generic encoding for CompositeTensors.
hasCondCtxt() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
hasCondCtxt() - Method in class org.tensorflow.proto.ControlFlowContextDef: .tensorflow.CondContextDef cond_ctxt = 1;
hasCondCtxt() - Method in interface org.tensorflow.proto.ControlFlowContextDefOrBuilder: .tensorflow.CondContextDef cond_ctxt = 1;
hasConstant() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
hasConstant() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedConstant constant = 9;
hasConstant() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedConstant constant = 9;
hasContext() - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.Features context = 1;
hasContext() - Method in class org.tensorflow.proto.SequenceExample: .tensorflow.Features context = 1;
hasContext() - Method in interface org.tensorflow.proto.SequenceExampleOrBuilder: .tensorflow.Features context = 1;
hasCoordinationConfig() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Distributed coordination service configurations.
hasCoordinationConfig() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Distributed coordination service configurations.
hasCoordinationConfig() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Distributed coordination service configurations.
hasCooSparse() - Method in class org.tensorflow.proto.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
hasCooSparse() - Method in class org.tensorflow.proto.TensorInfo: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
hasCooSparse() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
hasCostGraph() - Method in class org.tensorflow.proto.RunMetadata.Builder: The cost graph for the computation defined by the run call.
hasCostGraph() - Method in class org.tensorflow.proto.RunMetadata: The cost graph for the computation defined by the run call.
hasCostGraph() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: The cost graph for the computation defined by the run call.
hasCpuBudget() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: int32 cpu_budget = 2;
hasCpuBudget() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions: int32 cpu_budget = 2;
hasCpuBudget() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder: int32 cpu_budget = 2;
hasCpuInfo() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: CPU Information.
hasCpuInfo() - Method in class org.tensorflow.proto.MachineConfiguration: CPU Information.
hasCpuInfo() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: CPU Information.
hasData() - Method in class org.tensorflow.proto.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
hasData() - Method in class org.tensorflow.proto.SavedSlice: The raw data of the slice is stored as a TensorProto.
hasData() - Method in interface org.tensorflow.proto.SavedSliceOrBuilder: The raw data of the slice is stored as a TensorProto.
hasData() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
hasData() - Method in class org.tensorflow.proto.SavedTensorSlices: This exists in all but the first item of each checkpoint file.
hasData() - Method in interface org.tensorflow.proto.SavedTensorSlicesOrBuilder: This exists in all but the first item of each checkpoint file.
hasDatasetName() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: string dataset_name = 10;
hasDatasetName() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: string dataset_name = 10;
hasDatasetName() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: string dataset_name = 10;
hasDebuggedDevice() - Method in class org.tensorflow.proto.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
hasDebuggedDevice() - Method in class org.tensorflow.proto.DebugEvent: A device on which debugger-instrumented ops and/or tensors reside.
hasDebuggedDevice() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: A device on which debugger-instrumented ops and/or tensors reside.
hasDebuggedGraph() - Method in class org.tensorflow.proto.DebugEvent.Builder: Information about a debugged graph.
hasDebuggedGraph() - Method in class org.tensorflow.proto.DebugEvent: Information about a debugged graph.
hasDebuggedGraph() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: Information about a debugged graph.
hasDebugInfo() - Method in class org.tensorflow.proto.GraphDef.Builder: Stack traces for the nodes in this graph.
hasDebugInfo() - Method in class org.tensorflow.proto.GraphDef: Stack traces for the nodes in this graph.
hasDebugInfo() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: Stack traces for the nodes in this graph.
hasDebugMetadata() - Method in class org.tensorflow.proto.DebugEvent.Builder: Metadata related to this debugging data.
hasDebugMetadata() - Method in class org.tensorflow.proto.DebugEvent: Metadata related to this debugging data.
hasDebugMetadata() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: Metadata related to this debugging data.
hasDebugOptions() - Method in class org.tensorflow.proto.RunOptions.Builder: EXPERIMENTAL.
hasDebugOptions() - Method in class org.tensorflow.proto.RunOptions: EXPERIMENTAL.
hasDebugOptions() - Method in interface org.tensorflow.proto.RunOptionsOrBuilder: EXPERIMENTAL.
hasDefaultSessionConfig() - Method in class org.tensorflow.proto.ServerDef.Builder: The default configuration for sessions that run on this server.
hasDefaultSessionConfig() - Method in class org.tensorflow.proto.ServerDef: The default configuration for sessions that run on this server.
hasDefaultSessionConfig() - Method in interface org.tensorflow.proto.ServerDefOrBuilder: The default configuration for sessions that run on this server.
hasDefaultValue() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
hasDefaultValue() - Method in class org.tensorflow.proto.ApiDef.Attr: Specify a new default value to use for this attr.
hasDefaultValue() - Method in interface org.tensorflow.proto.ApiDef.AttrOrBuilder: Specify a new default value to use for this attr.
hasDefaultValue() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
hasDefaultValue() - Method in class org.tensorflow.proto.FixedLenFeatureProto: .tensorflow.TensorProto default_value = 3;
hasDefaultValue() - Method in interface org.tensorflow.proto.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorProto default_value = 3;
hasDefaultValue() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
hasDefaultValue() - Method in class org.tensorflow.proto.OpDef.AttrDef: A reasonable default for this attribute if the user does not supply a value.
hasDefaultValue() - Method in interface org.tensorflow.proto.OpDef.AttrDefOrBuilder: A reasonable default for this attribute if the user does not supply a value.
hasDeprecation() - Method in class org.tensorflow.proto.OpDef.Builder: Optional deprecation based on GraphDef versions.
hasDeprecation() - Method in class org.tensorflow.proto.OpDef: Optional deprecation based on GraphDef versions.
hasDeprecation() - Method in interface org.tensorflow.proto.OpDefOrBuilder: Optional deprecation based on GraphDef versions.
hasDeterministic() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool deterministic = 1;
hasDeterministic() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: bool deterministic = 1;
hasDeterministic() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: bool deterministic = 1;
hasDevice() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Device on which the operation is run.
hasDevice() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Device on which the operation is run.
hasDevice() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Device on which the operation is run.
hasDictValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a dict `Value`.
hasDictValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a dict `Value`.
hasDictValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a dict `Value`.
hasDistributeOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The distribution strategy options associated with the dataset.
hasDistributeOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The distribution strategy options associated with the dataset.
hasDistributeOptions() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The distribution strategy options associated with the dataset.
hasDoubleValue() - Method in class org.tensorflow.proto.EntryValue.Builder: double double_value = 1;
hasDoubleValue() - Method in class org.tensorflow.proto.EntryValue: double double_value = 1;
hasDoubleValue() - Method in interface org.tensorflow.proto.EntryValueOrBuilder: double double_value = 1;
hasDoubleValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: double double_value = 2;
hasDoubleValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: double double_value = 2;
hasDoubleValue() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: double double_value = 2;
hasElementSpec() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder: Serialized element spec.
hasElementSpec() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata: Serialized element spec.
hasElementSpec() - Method in interface org.tensorflow.proto.data.DataService.DataServiceMetadataOrBuilder: Serialized element spec.
hasEnabled() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: bool enabled = 1;
hasEnabled() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions: bool enabled = 1;
hasEnabled() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder: bool enabled = 1;
hasEntries() - Method in class org.tensorflow.proto.TestResults.Builder: The list of tests or benchmarks in this run.
hasEntries() - Method in class org.tensorflow.proto.TestResults: The list of tests or benchmarks in this run.
hasEntries() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: The list of tests or benchmarks in this run.
hasExecution() - Method in class org.tensorflow.proto.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
hasExecution() - Method in class org.tensorflow.proto.DebugEvent: Execution of an op or a Graph (e.g., a tf.function).
hasExecution() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: Execution of an op or a Graph (e.g., a tf.function).
hasExecutionTimeLogNormal() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
hasExecutionTimeLogNormal() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
hasExecutionTimeLogNormal() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
hasExecutionTimeNormal() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
hasExecutionTimeNormal() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: .tensorflow.NormalDistribution execution_time_normal = 10;
hasExecutionTimeNormal() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: .tensorflow.NormalDistribution execution_time_normal = 10;
hasExitCode() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
hasExitCode() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest: .tensorflow.RequestedExitCode exit_code = 3;
hasExitCode() - Method in interface org.tensorflow.proto.WorkerHeartbeatRequestOrBuilder: .tensorflow.RequestedExitCode exit_code = 3;
hasExperimental() - Method in class org.tensorflow.proto.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
hasExperimental() - Method in class org.tensorflow.proto.ConfigProto: .tensorflow.ConfigProto.Experimental experimental = 16;
hasExperimental() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: .tensorflow.ConfigProto.Experimental experimental = 16;
hasExperimental() - Method in class org.tensorflow.proto.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
hasExperimental() - Method in class org.tensorflow.proto.GPUOptions: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
hasExperimental() - Method in interface org.tensorflow.proto.GPUOptionsOrBuilder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
hasExperimental() - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
hasExperimental() - Method in class org.tensorflow.proto.RunOptions: .tensorflow.RunOptions.Experimental experimental = 8;
hasExperimental() - Method in interface org.tensorflow.proto.RunOptionsOrBuilder: .tensorflow.RunOptions.Experimental experimental = 8;
hasExperimentalDebugInfo() - Method in class org.tensorflow.proto.NodeDef.Builder: This stores debug information associated with the node.
hasExperimentalDebugInfo() - Method in class org.tensorflow.proto.NodeDef: This stores debug information associated with the node.
hasExperimentalDebugInfo() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: This stores debug information associated with the node.
hasExperimentalFullType() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Experimental.
hasExperimentalFullType() - Method in class org.tensorflow.proto.OpDef.ArgDef: Experimental.
hasExperimentalFullType() - Method in interface org.tensorflow.proto.OpDef.ArgDefOrBuilder: Experimental.
hasExperimentalType() - Method in class org.tensorflow.proto.NodeDef.Builder: The complete type of this node.
hasExperimentalType() - Method in class org.tensorflow.proto.NodeDef: The complete type of this node.
hasExperimentalType() - Method in interface org.tensorflow.proto.NodeDefOrBuilder: The complete type of this node.
hasExternalStatePolicy() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
hasExternalStatePolicy() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
hasExternalStatePolicy() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
hasF() - Method in class org.tensorflow.proto.AttrValue.Builder: "float"
hasF() - Method in class org.tensorflow.proto.AttrValue: "float"
hasF() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "float"
hasFeatureLists() - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
hasFeatureLists() - Method in class org.tensorflow.proto.SequenceExample: .tensorflow.FeatureLists feature_lists = 2;
hasFeatureLists() - Method in interface org.tensorflow.proto.SequenceExampleOrBuilder: .tensorflow.FeatureLists feature_lists = 2;
hasFeatures() - Method in class org.tensorflow.proto.Example.Builder: .tensorflow.Features features = 1;
hasFeatures() - Method in class org.tensorflow.proto.Example: .tensorflow.Features features = 1;
hasFeatures() - Method in interface org.tensorflow.proto.ExampleOrBuilder: .tensorflow.Features features = 1;
hasFileIndex() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: File name index, which can be used to retrieve the file name string from `files`.
hasFileIndex() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: File name index, which can be used to retrieve the file name string from `files`.
hasFileIndex() - Method in interface org.tensorflow.proto.GraphDebugInfo.FileLineColOrBuilder: File name index, which can be used to retrieve the file name string from `files`.
hasFileLineCol() - Method in class org.tensorflow.proto.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
hasFileLineCol() - Method in class org.tensorflow.proto.StackFrameWithId: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
hasFileLineCol() - Method in interface org.tensorflow.proto.StackFrameWithIdOrBuilder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
hasFileVersion() - Method in class org.tensorflow.proto.Event.Builder: An event file was started, with the specified version.
hasFileVersion() - Method in class org.tensorflow.proto.Event: An event file was started, with the specified version.
hasFileVersion() - Method in interface org.tensorflow.proto.EventOrBuilder: An event file was started, with the specified version.
hasFilterFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool filter_fusion = 6;
hasFilterFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool filter_fusion = 6;
hasFilterFusion() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool filter_fusion = 6;
hasFilterParallelization() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool filter_parallelization = 18;
hasFilterParallelization() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool filter_parallelization = 18;
hasFilterParallelization() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool filter_parallelization = 18;
hasFixedLenFeature() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
hasFixedLenFeature() - Method in class org.tensorflow.proto.FeatureConfiguration: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
hasFixedLenFeature() - Method in interface org.tensorflow.proto.FeatureConfigurationOrBuilder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
hasFloat64Value() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a double-precision floating-point value (a Python `float`).
hasFloat64Value() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a double-precision floating-point value (a Python `float`).
hasFloat64Value() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a double-precision floating-point value (a Python `float`).
hasFloatList() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
hasFloatList() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.FloatList float_list = 4;
hasFloatList() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.FloatList float_list = 4;
hasFloatList() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.FloatList float_list = 2;
hasFloatList() - Method in class org.tensorflow.proto.Feature: .tensorflow.FloatList float_list = 2;
hasFloatList() - Method in interface org.tensorflow.proto.FeatureOrBuilder: .tensorflow.FloatList float_list = 2;
hasFullargspec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
hasFullargspec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec: Full arg spec from inspect.getfullargspec().
hasFullargspec() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpecOrBuilder: Full arg spec from inspect.getfullargspec().
hasFunc() - Method in class org.tensorflow.proto.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
hasFunc() - Method in class org.tensorflow.proto.AttrValue: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
hasFunc() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
hasFunc() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Name of function contains the file line.
hasFunc() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: Name of function contains the file line.
hasFunc() - Method in interface org.tensorflow.proto.GraphDebugInfo.FileLineColOrBuilder: Name of function contains the file line.
hasFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
hasFunction() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedFunction function = 6;
hasFunction() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedFunction function = 6;
hasFunctionGraph() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Optimized function graph.
hasFunctionGraph() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Optimized function graph.
hasFunctionGraph() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Optimized function graph.
hasFunctionSpec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
hasFunctionSpec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction: The spec of the function that this ConcreteFunction is traced from.
hasFunctionSpec() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunctionOrBuilder: The spec of the function that this ConcreteFunction is traced from.
hasFunctionSpec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
hasFunctionSpec() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction: .tensorflow.FunctionSpec function_spec = 2;
hasFunctionSpec() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunctionOrBuilder: .tensorflow.FunctionSpec function_spec = 2;
hasGpuOptions() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all GPUs.
hasGpuOptions() - Method in class org.tensorflow.proto.ConfigProto: Options that apply to all GPUs.
hasGpuOptions() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Options that apply to all GPUs.
hasGraphDef() - Method in class org.tensorflow.proto.Event.Builder: An encoded version of a GraphDef.
hasGraphDef() - Method in class org.tensorflow.proto.Event: An encoded version of a GraphDef.
hasGraphDef() - Method in interface org.tensorflow.proto.EventOrBuilder: An encoded version of a GraphDef.
hasGraphDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: GraphDef.
hasGraphDef() - Method in class org.tensorflow.proto.MetaGraphDef: GraphDef.
hasGraphDef() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: GraphDef.
hasGraphExecutionTrace() - Method in class org.tensorflow.proto.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
hasGraphExecutionTrace() - Method in class org.tensorflow.proto.DebugEvent: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
hasGraphExecutionTrace() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
hasGraphId() - Method in class org.tensorflow.proto.DebugEvent.Builder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
hasGraphId() - Method in class org.tensorflow.proto.DebugEvent: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
hasGraphId() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
hasGraphOpCreation() - Method in class org.tensorflow.proto.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
hasGraphOpCreation() - Method in class org.tensorflow.proto.DebugEvent: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
hasGraphOpCreation() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
hasGraphOptions() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all graphs.
hasGraphOptions() - Method in class org.tensorflow.proto.ConfigProto: Options that apply to all graphs.
hasGraphOptions() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Options that apply to all graphs.
hash - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The hash attribute
hash(Long) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the hash option.
hash(Long) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the hash option.
HASH - Enum constant in enum org.tensorflow.proto.CommitId.KindCase
HASH_CODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ResourceHandleProto
HASH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CommitId
hasHandleData() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
hasHandleData() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
hasHandleData() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResultOrBuilder: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
hasHasCheckpointValues() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Whether this object has checkpoint values or descendants with checkpoint values.
hasHasCheckpointValues() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: Whether this object has checkpoint values or descendants with checkpoint values.
hasHasCheckpointValues() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: Whether this object has checkpoint values or descendants with checkpoint values.
hasHash() - Method in class org.tensorflow.proto.CommitId.Builder: string hash = 2;
hasHash() - Method in class org.tensorflow.proto.CommitId: string hash = 2;
hasHash() - Method in interface org.tensorflow.proto.CommitIdOrBuilder: string hash = 2;
hashCode() - Method in class org.tensorflow.DeviceSpec
hashCode() - Method in class org.tensorflow.GraphOperation
hashCode() - Method in class org.tensorflow.op.RawOp
hashCode() - Method in class org.tensorflow.op.RawOpInputs
hashCode() - Method in class org.tensorflow.Output
hashCode() - Method in class org.tensorflow.proto.AllocationDescription
hashCode() - Method in class org.tensorflow.proto.AllocationRecord
hashCode() - Method in class org.tensorflow.proto.AllocatorMemoryUsed
hashCode() - Method in class org.tensorflow.proto.ApiDef.Arg
hashCode() - Method in class org.tensorflow.proto.ApiDef.Attr
hashCode() - Method in class org.tensorflow.proto.ApiDef.Endpoint
hashCode() - Method in class org.tensorflow.proto.ApiDef
hashCode() - Method in class org.tensorflow.proto.ApiDefs
hashCode() - Method in class org.tensorflow.proto.AssetFileDef
hashCode() - Method in class org.tensorflow.proto.AttrValue
hashCode() - Method in class org.tensorflow.proto.AttrValue.ListValue
hashCode() - Method in class org.tensorflow.proto.AutoParallelOptions
hashCode() - Method in class org.tensorflow.proto.AvailableDeviceInfo
hashCode() - Method in class org.tensorflow.proto.BenchmarkEntries
hashCode() - Method in class org.tensorflow.proto.BenchmarkEntry
hashCode() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
hashCode() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
hashCode() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
hashCode() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
hashCode() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
hashCode() - Method in class org.tensorflow.proto.BuildConfiguration
hashCode() - Method in class org.tensorflow.proto.BundleEntryProto
hashCode() - Method in class org.tensorflow.proto.BundleHeaderProto
hashCode() - Method in class org.tensorflow.proto.BytesList
hashCode() - Method in class org.tensorflow.proto.CallableOptions
hashCode() - Method in class org.tensorflow.proto.ClusterDef
hashCode() - Method in class org.tensorflow.proto.ClusterDeviceFilters
hashCode() - Method in class org.tensorflow.proto.CodeLocation
hashCode() - Method in class org.tensorflow.proto.CollectionDef.AnyList
hashCode() - Method in class org.tensorflow.proto.CollectionDef.BytesList
hashCode() - Method in class org.tensorflow.proto.CollectionDef.FloatList
hashCode() - Method in class org.tensorflow.proto.CollectionDef
hashCode() - Method in class org.tensorflow.proto.CollectionDef.Int64List
hashCode() - Method in class org.tensorflow.proto.CollectionDef.NodeList
hashCode() - Method in class org.tensorflow.proto.CommitId
hashCode() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
hashCode() - Method in class org.tensorflow.proto.CondContextDef
hashCode() - Method in class org.tensorflow.proto.ConfigProto.Experimental
hashCode() - Method in class org.tensorflow.proto.ConfigProto
hashCode() - Method in class org.tensorflow.proto.ControlFlowContextDef
hashCode() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
hashCode() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
hashCode() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
hashCode() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
hashCode() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
hashCode() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
hashCode() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
hashCode() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
hashCode() - Method in class org.tensorflow.proto.CostGraphDef
hashCode() - Method in class org.tensorflow.proto.CostGraphDef.Node
hashCode() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
hashCode() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
hashCode() - Method in class org.tensorflow.proto.CPUInfo
hashCode() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
hashCode() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
hashCode() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
hashCode() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
hashCode() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
hashCode() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
hashCode() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
hashCode() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
hashCode() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
hashCode() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
hashCode() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
hashCode() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
hashCode() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
hashCode() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
hashCode() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
hashCode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
hashCode() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
hashCode() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
hashCode() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
hashCode() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
hashCode() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
hashCode() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
hashCode() - Method in class org.tensorflow.proto.data.model.Model.ModelProto
hashCode() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
hashCode() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
hashCode() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
hashCode() - Method in class org.tensorflow.proto.DebugEvent
hashCode() - Method in class org.tensorflow.proto.DebuggedDevice
hashCode() - Method in class org.tensorflow.proto.DebuggedGraph
hashCode() - Method in class org.tensorflow.proto.DebuggedSourceFile
hashCode() - Method in class org.tensorflow.proto.DebuggedSourceFiles
hashCode() - Method in class org.tensorflow.proto.DebugMetadata
hashCode() - Method in class org.tensorflow.proto.DebugOptions
hashCode() - Method in class org.tensorflow.proto.DebugTensorWatch
hashCode() - Method in class org.tensorflow.proto.DeviceAttributes
hashCode() - Method in class org.tensorflow.proto.DeviceLocality
hashCode() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
hashCode() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
hashCode() - Method in class org.tensorflow.proto.DeviceStepStats
hashCode() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
hashCode() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
hashCode() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
hashCode() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
hashCode() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
hashCode() - Method in class org.tensorflow.proto.EntryValue
hashCode() - Method in class org.tensorflow.proto.Event
hashCode() - Method in class org.tensorflow.proto.Example
hashCode() - Method in class org.tensorflow.proto.ExampleParserConfiguration
hashCode() - Method in class org.tensorflow.proto.Execution
hashCode() - Method in class org.tensorflow.proto.Feature
hashCode() - Method in class org.tensorflow.proto.FeatureConfiguration
hashCode() - Method in class org.tensorflow.proto.FeatureList
hashCode() - Method in class org.tensorflow.proto.FeatureLists
hashCode() - Method in class org.tensorflow.proto.Features
hashCode() - Method in class org.tensorflow.proto.FingerprintDef
hashCode() - Method in class org.tensorflow.proto.FixedLenFeatureProto
hashCode() - Method in class org.tensorflow.proto.FloatList
hashCode() - Method in class org.tensorflow.proto.FullTypeDef
hashCode() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
hashCode() - Method in class org.tensorflow.proto.FunctionDef
hashCode() - Method in class org.tensorflow.proto.FunctionDefLibrary
hashCode() - Method in class org.tensorflow.proto.GPUInfo
hashCode() - Method in class org.tensorflow.proto.GPUOptions.Experimental
hashCode() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
hashCode() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
hashCode() - Method in class org.tensorflow.proto.GPUOptions
hashCode() - Method in class org.tensorflow.proto.GradientDef
hashCode() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
hashCode() - Method in class org.tensorflow.proto.GraphDebugInfo
hashCode() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
hashCode() - Method in class org.tensorflow.proto.GraphDef
hashCode() - Method in class org.tensorflow.proto.GraphExecutionTrace
hashCode() - Method in class org.tensorflow.proto.GraphOpCreation
hashCode() - Method in class org.tensorflow.proto.GraphOptions
hashCode() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
hashCode() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
hashCode() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
hashCode() - Method in class org.tensorflow.proto.GraphTransferInfo
hashCode() - Method in class org.tensorflow.proto.GraphTransferNodeInfo
hashCode() - Method in class org.tensorflow.proto.GraphTransferNodeInput
hashCode() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
hashCode() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
hashCode() - Method in class org.tensorflow.proto.HistogramProto
hashCode() - Method in class org.tensorflow.proto.Int64List
hashCode() - Method in class org.tensorflow.proto.InterconnectLink
hashCode() - Method in class org.tensorflow.proto.JobDef
hashCode() - Method in class org.tensorflow.proto.JobDeviceFilters
hashCode() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
hashCode() - Method in class org.tensorflow.proto.KernelDef
hashCode() - Method in class org.tensorflow.proto.KernelList
hashCode() - Method in class org.tensorflow.proto.LocalLinks
hashCode() - Method in class org.tensorflow.proto.LogMessage: Deprecated.
hashCode() - Method in class org.tensorflow.proto.MachineConfiguration
hashCode() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
hashCode() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
hashCode() - Method in class org.tensorflow.proto.MemoryInfo
hashCode() - Method in class org.tensorflow.proto.MemoryLogRawAllocation
hashCode() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
hashCode() - Method in class org.tensorflow.proto.MemoryLogStep
hashCode() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
hashCode() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
hashCode() - Method in class org.tensorflow.proto.MemoryLogTensorOutput
hashCode() - Method in class org.tensorflow.proto.MemoryStats
hashCode() - Method in class org.tensorflow.proto.MetaGraphDef
hashCode() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
hashCode() - Method in class org.tensorflow.proto.MetricEntry
hashCode() - Method in class org.tensorflow.proto.NameAttrList
hashCode() - Method in class org.tensorflow.proto.NamedTensorProto
hashCode() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
hashCode() - Method in class org.tensorflow.proto.NodeDef
hashCode() - Method in class org.tensorflow.proto.NodeExecStats
hashCode() - Method in class org.tensorflow.proto.NodeOutput
hashCode() - Method in class org.tensorflow.proto.OpDef.ArgDef
hashCode() - Method in class org.tensorflow.proto.OpDef.AttrDef
hashCode() - Method in class org.tensorflow.proto.OpDef
hashCode() - Method in class org.tensorflow.proto.OpDeprecation
hashCode() - Method in class org.tensorflow.proto.OpList
hashCode() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
hashCode() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
hashCode() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
hashCode() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
hashCode() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
hashCode() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
hashCode() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
hashCode() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
hashCode() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
hashCode() - Method in class org.tensorflow.proto.OptimizerOptions
hashCode() - Method in class org.tensorflow.proto.PlatformInfo
hashCode() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
hashCode() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
hashCode() - Method in class org.tensorflow.proto.profiler.Xplane.XLine
hashCode() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
hashCode() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
hashCode() - Method in class org.tensorflow.proto.profiler.Xplane.XStat
hashCode() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
hashCode() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
hashCode() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
hashCode() - Method in class org.tensorflow.proto.QueueRunnerDef
hashCode() - Method in class org.tensorflow.proto.ReaderBaseState
hashCode() - Method in class org.tensorflow.proto.RegisteredGradient
hashCode() - Method in class org.tensorflow.proto.RequestedExitCode
hashCode() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
hashCode() - Method in class org.tensorflow.proto.ResourceHandleProto
hashCode() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
hashCode() - Method in class org.tensorflow.proto.RewriterConfig
hashCode() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
hashCode() - Method in class org.tensorflow.proto.RunConfiguration
hashCode() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
hashCode() - Method in class org.tensorflow.proto.RunMetadata
hashCode() - Method in class org.tensorflow.proto.RunOptions.Experimental
hashCode() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
hashCode() - Method in class org.tensorflow.proto.RunOptions
hashCode() - Method in class org.tensorflow.proto.SavedModel
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
hashCode() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
hashCode() - Method in class org.tensorflow.proto.SavedSlice
hashCode() - Method in class org.tensorflow.proto.SavedSliceMeta
hashCode() - Method in class org.tensorflow.proto.SavedTensorSliceMeta
hashCode() - Method in class org.tensorflow.proto.SavedTensorSlices
hashCode() - Method in class org.tensorflow.proto.SaverDef
hashCode() - Method in class org.tensorflow.proto.SaveSliceInfoDef
hashCode() - Method in class org.tensorflow.proto.ScopedAllocatorOptions
hashCode() - Method in class org.tensorflow.proto.SequenceExample
hashCode() - Method in class org.tensorflow.proto.SerializedDType
hashCode() - Method in class org.tensorflow.proto.ServerDef
hashCode() - Method in class org.tensorflow.proto.SessionLog
hashCode() - Method in class org.tensorflow.proto.SessionMetadata
hashCode() - Method in class org.tensorflow.proto.SignatureDef
hashCode() - Method in class org.tensorflow.proto.SourceFile
hashCode() - Method in class org.tensorflow.proto.SourceMetadata
hashCode() - Method in class org.tensorflow.proto.StackFrameWithId
hashCode() - Method in class org.tensorflow.proto.StatusProto
hashCode() - Method in class org.tensorflow.proto.StepStats
hashCode() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
hashCode() - Method in class org.tensorflow.proto.Struct.DictValue
hashCode() - Method in class org.tensorflow.proto.Struct.ListValue
hashCode() - Method in class org.tensorflow.proto.Struct.NamedTupleValue
hashCode() - Method in class org.tensorflow.proto.Struct.NoneValue
hashCode() - Method in class org.tensorflow.proto.Struct.PairValue
hashCode() - Method in class org.tensorflow.proto.Struct.StructuredValue
hashCode() - Method in class org.tensorflow.proto.Struct.TensorSpecProto
hashCode() - Method in class org.tensorflow.proto.Struct.TupleValue
hashCode() - Method in class org.tensorflow.proto.Struct.TypeSpecProto
hashCode() - Method in class org.tensorflow.proto.Summary.Audio
hashCode() - Method in class org.tensorflow.proto.Summary
hashCode() - Method in class org.tensorflow.proto.Summary.Image
hashCode() - Method in class org.tensorflow.proto.Summary.Value
hashCode() - Method in class org.tensorflow.proto.SummaryDescription
hashCode() - Method in class org.tensorflow.proto.SummaryMetadata
hashCode() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
hashCode() - Method in class org.tensorflow.proto.TaggedRunMetadata
hashCode() - Method in class org.tensorflow.proto.TaskDeviceFilters
hashCode() - Method in class org.tensorflow.proto.TensorConnection
hashCode() - Method in class org.tensorflow.proto.TensorDescription
hashCode() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
hashCode() - Method in class org.tensorflow.proto.TensorInfo.CooSparse
hashCode() - Method in class org.tensorflow.proto.TensorInfo
hashCode() - Method in class org.tensorflow.proto.TensorProto
hashCode() - Method in class org.tensorflow.proto.TensorShapeProto.Dim
hashCode() - Method in class org.tensorflow.proto.TensorShapeProto
hashCode() - Method in class org.tensorflow.proto.TensorSliceProto.Extent
hashCode() - Method in class org.tensorflow.proto.TensorSliceProto
hashCode() - Method in class org.tensorflow.proto.TestResults
hashCode() - Method in class org.tensorflow.proto.ThreadPoolOptionProto
hashCode() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
hashCode() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
hashCode() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
hashCode() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
hashCode() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
hashCode() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
hashCode() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
hashCode() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
hashCode() - Method in class org.tensorflow.proto.ValuesDef
hashCode() - Method in class org.tensorflow.proto.VariableDef
hashCode() - Method in class org.tensorflow.proto.VariantTensorDataProto
hashCode() - Method in class org.tensorflow.proto.VarLenFeatureProto
hashCode() - Method in class org.tensorflow.proto.VerifierConfig
hashCode() - Method in class org.tensorflow.proto.VersionDef
hashCode() - Method in class org.tensorflow.proto.WatchdogConfig
hashCode() - Method in class org.tensorflow.proto.WhileContextDef
hashCode() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
hashCode() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
hashedOutput - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The hashedOutput attribute
hasHisto() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
hasHisto() - Method in class org.tensorflow.proto.Summary.Value: .tensorflow.HistogramProto histo = 5;
hasHisto() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: .tensorflow.HistogramProto histo = 5;
hashKey - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The hashKey attribute
hashTable(Class, Class, HashTable.Options...) - Method in class org.tensorflow.op.Ops: Creates a non-initialized hash table.
HashTable - Class in org.tensorflow.op.core: Creates a non-initialized hash table.
HashTable(Operation) - Constructor for class org.tensorflow.op.core.HashTable
HashTable.Inputs - Class in org.tensorflow.op.core
HashTable.Options - Class in org.tensorflow.op.core: Optional attributes for HashTable
hashValid - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The hashValid attribute
hashValid(Boolean) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the hashValid option.
hashValid(Boolean) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the hashValid option.
hasI() - Method in class org.tensorflow.proto.AttrValue.Builder: "int"
hasI() - Method in class org.tensorflow.proto.AttrValue: "int"
hasI() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "int"
hasI() - Method in class org.tensorflow.proto.FullTypeDef.Builder: TODO(mdan): list/tensor, map?
hasI() - Method in class org.tensorflow.proto.FullTypeDef: TODO(mdan): list/tensor, map?
hasI() - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder: TODO(mdan): list/tensor, map?
hasImage() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
hasImage() - Method in class org.tensorflow.proto.Summary.Value: .tensorflow.Summary.Image image = 4;
hasImage() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: .tensorflow.Summary.Image image = 4;
hasInitialParallelism() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: int64 initial_parallelism = 5;
hasInitialParallelism() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions: int64 initial_parallelism = 5;
hasInitialParallelism() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder: int64 initial_parallelism = 5;
hasInjectPrefetch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool inject_prefetch = 19;
hasInjectPrefetch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool inject_prefetch = 19;
hasInjectPrefetch() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool inject_prefetch = 19;
hasInputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: The input signature, if specified.
hasInputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec: The input signature, if specified.
hasInputSignature() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpecOrBuilder: The input signature, if specified.
hasInt64List() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
hasInt64List() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.Int64List int64_list = 3;
hasInt64List() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.Int64List int64_list = 3;
hasInt64List() - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.Int64List int64_list = 3;
hasInt64List() - Method in class org.tensorflow.proto.Feature: .tensorflow.Int64List int64_list = 3;
hasInt64List() - Method in interface org.tensorflow.proto.FeatureOrBuilder: .tensorflow.Int64List int64_list = 3;
hasInt64Value() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: int64 int64_value = 4;
hasInt64Value() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: int64 int64_value = 4;
hasInt64Value() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: int64 int64_value = 4;
hasInt64Value() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a signed integer value, limited to 64 bits.
hasInt64Value() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a signed integer value, limited to 64 bits.
hasInt64Value() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a signed integer value, limited to 64 bits.
hasInterOptimizerVerifierConfig() - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
hasInterOptimizerVerifierConfig() - Method in class org.tensorflow.proto.RewriterConfig: VerifierConfig specifying the verifiers to be run after every optimizer.
hasInterOptimizerVerifierConfig() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: VerifierConfig specifying the verifiers to be run after every optimizer.
hasKey() - Method in class org.tensorflow.op.core.TensorMapHasKey: Gets hasKey.
hasKnownShape - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: Boolean indicating whether gradient_shape is unknown, in which case the input is ignored during validation.
hasLength() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder: int64 length = 2;
hasLength() - Method in class org.tensorflow.proto.TensorSliceProto.Extent: int64 length = 2;
hasLength() - Method in interface org.tensorflow.proto.TensorSliceProto.ExtentOrBuilder: int64 length = 2;
HASLENGTH_NOT_SET - Enum constant in enum org.tensorflow.proto.TensorSliceProto.Extent.HasLengthCase
hasLibrary() - Method in class org.tensorflow.proto.GraphDef.Builder: "library" provides user-defined functions.
hasLibrary() - Method in class org.tensorflow.proto.GraphDef: "library" provides user-defined functions.
hasLibrary() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: "library" provides user-defined functions.
hasLine() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Line number in the file.
hasLine() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: Line number in the file.
hasLine() - Method in interface org.tensorflow.proto.GraphDebugInfo.FileLineColOrBuilder: Line number in the file.
hasLinks() - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional local interconnect links to other devices.
hasLinks() - Method in class org.tensorflow.proto.DeviceLocality: Optional local interconnect links to other devices.
hasLinks() - Method in interface org.tensorflow.proto.DeviceLocalityOrBuilder: Optional local interconnect links to other devices.
hasList() - Method in class org.tensorflow.proto.AttrValue.Builder: any "list(...)"
hasList() - Method in class org.tensorflow.proto.AttrValue: any "list(...)"
hasList() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: any "list(...)"
hasListValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a list of `Value`.
hasListValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a list of `Value`.
hasListValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a list of `Value`.
hasLocality() - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
hasLocality() - Method in class org.tensorflow.proto.DeviceAttributes: Platform-specific data about device that may be useful for supporting efficient data transfers.
hasLocality() - Method in interface org.tensorflow.proto.DeviceAttributesOrBuilder: Platform-specific data about device that may be useful for supporting efficient data transfers.
hasLogMessage() - Method in class org.tensorflow.proto.Event.Builder: Deprecated.
tensorflow.Event.log_message is deprecated. See tensorflow/core/util/event.proto;l=34
hasLogMessage() - Method in class org.tensorflow.proto.Event: Deprecated.
tensorflow.Event.log_message is deprecated. See tensorflow/core/util/event.proto;l=34
hasLogMessage() - Method in interface org.tensorflow.proto.EventOrBuilder: Deprecated.
tensorflow.Event.log_message is deprecated. See tensorflow/core/util/event.proto;l=34
hasMachineConfiguration() - Method in class org.tensorflow.proto.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
hasMachineConfiguration() - Method in class org.tensorflow.proto.TestResults: Machine-specific parameters (Platform and CPU info)
hasMachineConfiguration() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: Machine-specific parameters (Platform and CPU info)
hasMapAndBatchFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_and_batch_fusion = 9;
hasMapAndBatchFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool map_and_batch_fusion = 9;
hasMapAndBatchFusion() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool map_and_batch_fusion = 9;
hasMapAndFilterFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_and_filter_fusion = 10;
hasMapAndFilterFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool map_and_filter_fusion = 10;
hasMapAndFilterFusion() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool map_and_filter_fusion = 10;
hasMapFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_fusion = 11;
hasMapFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool map_fusion = 11;
hasMapFusion() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool map_fusion = 11;
hasMapParallelization() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_parallelization = 12;
hasMapParallelization() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool map_parallelization = 12;
hasMapParallelization() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool map_parallelization = 12;
hasMaximum() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
hasMaximum() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: .tensorflow.TensorProto maximum = 5;
hasMaximum() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorProto maximum = 5;
hasMaxIntraOpParallelism() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder: int32 max_intra_op_parallelism = 1;
hasMaxIntraOpParallelism() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions: int32 max_intra_op_parallelism = 1;
hasMaxIntraOpParallelism() - Method in interface org.tensorflow.proto.data.DatasetOptions.ThreadingOptionsOrBuilder: int32 max_intra_op_parallelism = 1;
hasMaxValue() - Method in class org.tensorflow.proto.MetricEntry.Builder: The maximum acceptable value for the metric if specified
hasMaxValue() - Method in class org.tensorflow.proto.MetricEntry: The maximum acceptable value for the metric if specified
hasMaxValue() - Method in interface org.tensorflow.proto.MetricEntryOrBuilder: The maximum acceptable value for the metric if specified
hasMemoryInfo() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
hasMemoryInfo() - Method in class org.tensorflow.proto.MachineConfiguration: .tensorflow.MemoryInfo memory_info = 6;
hasMemoryInfo() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: .tensorflow.MemoryInfo memory_info = 6;
hasMemoryStats() - Method in class org.tensorflow.proto.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
hasMemoryStats() - Method in class org.tensorflow.proto.NodeExecStats: .tensorflow.MemoryStats memory_stats = 12;
hasMemoryStats() - Method in interface org.tensorflow.proto.NodeExecStatsOrBuilder: .tensorflow.MemoryStats memory_stats = 12;
hasMeta() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
hasMeta() - Method in class org.tensorflow.proto.SavedTensorSlices: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
hasMeta() - Method in interface org.tensorflow.proto.SavedTensorSlicesOrBuilder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
hasMetadata() - Method in class org.tensorflow.proto.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
hasMetadata() - Method in class org.tensorflow.proto.Summary.Value: Contains metadata on the summary value such as which plugins may use it.
hasMetadata() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: Contains metadata on the summary value such as which plugins may use it.
hasMetaGraphDef() - Method in class org.tensorflow.proto.Event.Builder: An encoded version of a MetaGraphDef.
hasMetaGraphDef() - Method in class org.tensorflow.proto.Event: An encoded version of a MetaGraphDef.
hasMetaGraphDef() - Method in interface org.tensorflow.proto.EventOrBuilder: An encoded version of a MetaGraphDef.
hasMetaInfoDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
hasMetaInfoDef() - Method in class org.tensorflow.proto.MetaGraphDef: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
hasMetaInfoDef() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
hasMinimum() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
hasMinimum() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: .tensorflow.TensorProto minimum = 4;
hasMinimum() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorProto minimum = 4;
hasMinValue() - Method in class org.tensorflow.proto.MetricEntry.Builder: The minimum acceptable value for the metric if specified
hasMinValue() - Method in class org.tensorflow.proto.MetricEntry: The minimum acceptable value for the metric if specified
hasMinValue() - Method in interface org.tensorflow.proto.MetricEntryOrBuilder: The minimum acceptable value for the metric if specified
hasName() - Method in class org.tensorflow.proto.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
hasName() - Method in class org.tensorflow.proto.TensorInfo: For dense `Tensor`s, the name of the tensor in the graph.
hasName() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: For dense `Tensor`s, the name of the tensor in the graph.
hasNamedTupleValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents Python's namedtuple.
hasNamedTupleValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents Python's namedtuple.
hasNamedTupleValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents Python's namedtuple.
hasNodeList() - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
hasNodeList() - Method in class org.tensorflow.proto.CollectionDef: .tensorflow.CollectionDef.NodeList node_list = 1;
hasNodeList() - Method in interface org.tensorflow.proto.CollectionDefOrBuilder: .tensorflow.CollectionDef.NodeList node_list = 1;
hasNoneValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents None.
hasNoneValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents None.
hasNoneValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents None.
hasNoopElimination() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool noop_elimination = 14;
hasNoopElimination() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool noop_elimination = 14;
hasNoopElimination() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool noop_elimination = 14;
hasNumDevices() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder: int32 num_devices = 2;
hasNumDevices() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions: int32 num_devices = 2;
hasNumDevices() - Method in interface org.tensorflow.proto.data.DatasetOptions.DistributeOptionsOrBuilder: int32 num_devices = 2;
hasNumOccurrences() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: Number of occurrences of the event, if aggregated.
hasNumOccurrences() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent: Number of occurrences of the event, if aggregated.
hasNumOccurrences() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventOrBuilder: Number of occurrences of the event, if aggregated.
hasNumpyValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for np.ndarray.
hasNumpyValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for np.ndarray.
hasNumpyValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for np.ndarray.
hasObjectGraphDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
hasObjectGraphDef() - Method in class org.tensorflow.proto.MetaGraphDef: Extra information about the structure of functions and stateful objects.
hasObjectGraphDef() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: Extra information about the structure of functions and stateful objects.
hasObsoleteOldStyleHistogram() - Method in class org.tensorflow.proto.Summary.Value.Builder: bytes obsolete_old_style_histogram = 3;
hasObsoleteOldStyleHistogram() - Method in class org.tensorflow.proto.Summary.Value: bytes obsolete_old_style_histogram = 3;
hasObsoleteOldStyleHistogram() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: bytes obsolete_old_style_histogram = 3;
hasOffsetPs() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
hasOffsetPs() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
hasOffsetPs() - Method in interface org.tensorflow.proto.profiler.Xplane.XEventOrBuilder: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
hasOp() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The op
hasOp() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: The op
hasOp() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: The op
hasOpMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
hasOpMemory() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: .tensorflow.OpPerformance.OpMemory op_memory = 9;
hasOpMemory() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
hasOptimizationOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The optimization options associated with the dataset.
hasOptimizationOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The optimization options associated with the dataset.
hasOptimizationOptions() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The optimization options associated with the dataset.
hasOptimizationParams() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
hasOptimizationParams() - Method in class org.tensorflow.proto.data.model.Model.ModelProto: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
hasOptimizationParams() - Method in interface org.tensorflow.proto.data.model.Model.ModelProtoOrBuilder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
hasOptimizationTimeUsecs() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Time (in microseconds) spent on running the graph optimization passes for this function.
hasOptimizationTimeUsecs() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Time (in microseconds) spent on running the graph optimization passes for this function.
hasOptimizationTimeUsecs() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Time (in microseconds) spent on running the graph optimization passes for this function.
hasOptimizerOptions() - Method in class org.tensorflow.proto.GraphOptions.Builder: Options controlling how graph is optimized.
hasOptimizerOptions() - Method in class org.tensorflow.proto.GraphOptions: Options controlling how graph is optimized.
hasOptimizerOptions() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: Options controlling how graph is optimized.
hasOutputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
hasOutputSignature() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
hasOutputSignature() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunctionOrBuilder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
hasParallelBatch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool parallel_batch = 15;
hasParallelBatch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool parallel_batch = 15;
hasParallelBatch() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool parallel_batch = 15;
hasPinned() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder: bool pinned = 1;
hasPinned() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions: bool pinned = 1;
hasPinned() - Method in interface org.tensorflow.proto.data.DatasetOptions.ServiceOptionsOrBuilder: bool pinned = 1;
hasPlaceholder() - Method in class org.tensorflow.proto.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
hasPlaceholder() - Method in class org.tensorflow.proto.AttrValue: This is a placeholder only used in nodes defined inside a function.
hasPlaceholder() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: This is a placeholder only used in nodes defined inside a function.
hasPlatformInfo() - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Additional platform information.
hasPlatformInfo() - Method in class org.tensorflow.proto.MachineConfiguration: Additional platform information.
hasPlatformInfo() - Method in interface org.tensorflow.proto.MachineConfigurationOrBuilder: Additional platform information.
hasPluggableDeviceOptions() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to pluggable devices.
hasPluggableDeviceOptions() - Method in class org.tensorflow.proto.ConfigProto: Options that apply to pluggable devices.
hasPluggableDeviceOptions() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Options that apply to pluggable devices.
hasPluginData() - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
hasPluginData() - Method in class org.tensorflow.proto.SummaryMetadata: Data that associates a summary with a certain plugin.
hasPluginData() - Method in interface org.tensorflow.proto.SummaryMetadataOrBuilder: Data that associates a summary with a certain plugin.
hasPostOptimizationGraph() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
hasPostOptimizationGraph() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs: .tensorflow.GraphDef post_optimization_graph = 3;
hasPostOptimizationGraph() - Method in interface org.tensorflow.proto.RunMetadata.FunctionGraphsOrBuilder: .tensorflow.GraphDef post_optimization_graph = 3;
hasPostOptimizationVerifierConfig() - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
hasPostOptimizationVerifierConfig() - Method in class org.tensorflow.proto.RewriterConfig: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
hasPostOptimizationVerifierConfig() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
hasPreOptimizationGraph() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
hasPreOptimizationGraph() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs: .tensorflow.GraphDef pre_optimization_graph = 2;
hasPreOptimizationGraph() - Method in interface org.tensorflow.proto.RunMetadata.FunctionGraphsOrBuilder: .tensorflow.GraphDef pre_optimization_graph = 2;
hasPrivateThreadpoolSize() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder: int32 private_threadpool_size = 2;
hasPrivateThreadpoolSize() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions: int32 private_threadpool_size = 2;
hasPrivateThreadpoolSize() - Method in interface org.tensorflow.proto.data.DatasetOptions.ThreadingOptionsOrBuilder: int32 private_threadpool_size = 2;
hasProfilerOptions() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
hasProfilerOptions() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions: Options for each local profiler.
hasProfilerOptions() - Method in interface org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptionsOrBuilder: Options for each local profiler.
hasProperties() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
hasProperties() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice: .tensorflow.DeviceProperties properties = 2;
hasProperties() - Method in interface org.tensorflow.proto.DevicePropertiesProtos.NamedDeviceOrBuilder: .tensorflow.DeviceProperties properties = 2;
hasRamBudget() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: int64 ram_budget = 3;
hasRamBudget() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions: int64 ram_budget = 3;
hasRamBudget() - Method in interface org.tensorflow.proto.data.DatasetOptions.AutotuneOptionsOrBuilder: int64 ram_budget = 3;
hasRefValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: A string value that stored in XStatMetadata::name.
hasRefValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: A string value that stored in XStatMetadata::name.
hasRefValue() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: A string value that stored in XStatMetadata::name.
hasRegisteredSaver() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: The registered saver used to save this object.
hasRegisteredSaver() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject: The registered saver used to save this object.
hasRegisteredSaver() - Method in interface org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder: The registered saver used to save this object.
hasResource() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
hasResource() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedResource resource = 10;
hasResource() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedResource resource = 10;
hasRewriteOptions() - Method in class org.tensorflow.proto.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
hasRewriteOptions() - Method in class org.tensorflow.proto.GraphOptions: Options that control the type and amount of graph rewriting.
hasRewriteOptions() - Method in interface org.tensorflow.proto.GraphOptionsOrBuilder: Options that control the type and amount of graph rewriting.
hasRpcOptions() - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
hasRpcOptions() - Method in class org.tensorflow.proto.ConfigProto: Options that apply when this session uses the distributed runtime.
hasRpcOptions() - Method in interface org.tensorflow.proto.ConfigProtoOrBuilder: Options that apply when this session uses the distributed runtime.
hasRunConfiguration() - Method in class org.tensorflow.proto.TestResults.Builder: Run-specific parameters (arguments, etc)
hasRunConfiguration() - Method in class org.tensorflow.proto.TestResults: Run-specific parameters (arguments, etc)
hasRunConfiguration() - Method in interface org.tensorflow.proto.TestResultsOrBuilder: Run-specific parameters (arguments, etc)
hasRunHandlerPoolOptions() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
hasRunHandlerPoolOptions() - Method in class org.tensorflow.proto.RunOptions.Experimental: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
hasRunHandlerPoolOptions() - Method in interface org.tensorflow.proto.RunOptions.ExperimentalOrBuilder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
hasRunOptions() - Method in class org.tensorflow.proto.CallableOptions.Builder: Options that will be applied to each run.
hasRunOptions() - Method in class org.tensorflow.proto.CallableOptions: Options that will be applied to each run.
hasRunOptions() - Method in interface org.tensorflow.proto.CallableOptionsOrBuilder: Options that will be applied to each run.
hasS() - Method in class org.tensorflow.proto.AttrValue.Builder: "string"
hasS() - Method in class org.tensorflow.proto.AttrValue: "string"
hasS() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "string"
hasS() - Method in class org.tensorflow.proto.FullTypeDef.Builder: string s = 3;
hasS() - Method in class org.tensorflow.proto.FullTypeDef: string s = 3;
hasS() - Method in interface org.tensorflow.proto.FullTypeDefOrBuilder: string s = 3;
hasSaverDef() - Method in class org.tensorflow.proto.MetaGraphDef.Builder: SaverDef.
hasSaverDef() - Method in class org.tensorflow.proto.MetaGraphDef: SaverDef.
hasSaverDef() - Method in interface org.tensorflow.proto.MetaGraphDefOrBuilder: SaverDef.
hasSaveSliceInfoDef() - Method in class org.tensorflow.proto.VariableDef.Builder: Support for saving variables as slices of a larger variable.
hasSaveSliceInfoDef() - Method in class org.tensorflow.proto.VariableDef: Support for saving variables as slices of a larger variable.
hasSaveSliceInfoDef() - Method in interface org.tensorflow.proto.VariableDefOrBuilder: Support for saving variables as slices of a larger variable.
hasScopedAllocatorOpts() - Method in class org.tensorflow.proto.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
hasScopedAllocatorOpts() - Method in class org.tensorflow.proto.RewriterConfig: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
hasScopedAllocatorOpts() - Method in interface org.tensorflow.proto.RewriterConfigOrBuilder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
hasSeqInterleavePrefetch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool seq_interleave_prefetch = 21;
hasSeqInterleavePrefetch() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool seq_interleave_prefetch = 21;
hasSeqInterleavePrefetch() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool seq_interleave_prefetch = 21;
hasSerializedUserProto() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
hasSerializedUserProto() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
hasSerializedUserProto() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
hasServiceOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The tf.data service options associated with the dataset.
hasServiceOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The tf.data service options associated with the dataset.
hasServiceOptions() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The tf.data service options associated with the dataset.
hasSessionInfo() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Information about the session configs.
hasSessionInfo() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo: Information about the session configs.
hasSessionInfo() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfoOrBuilder: Information about the session configs.
hasSessionInfo() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Deprecated.
tensorflow.OpPerformance.session_info is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=75
hasSessionInfo() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance: Deprecated.
tensorflow.OpPerformance.session_info is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=75
hasSessionInfo() - Method in interface org.tensorflow.proto.OpPerformanceData.OpPerformanceOrBuilder: Deprecated.
tensorflow.OpPerformance.session_info is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=75
hasSessionLog() - Method in class org.tensorflow.proto.Event.Builder: The state of the session which can be used for restarting after crashes.
hasSessionLog() - Method in class org.tensorflow.proto.Event: The state of the session which can be used for restarting after crashes.
hasSessionLog() - Method in interface org.tensorflow.proto.EventOrBuilder: The state of the session which can be used for restarting after crashes.
hasSessionMetadata() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Metadata about the session.
hasSessionMetadata() - Method in class org.tensorflow.proto.ConfigProto.Experimental: Metadata about the session.
hasSessionMetadata() - Method in interface org.tensorflow.proto.ConfigProto.ExperimentalOrBuilder: Metadata about the session.
hasSessionMetadata() - Method in class org.tensorflow.proto.RunMetadata.Builder: Metadata about the session.
hasSessionMetadata() - Method in class org.tensorflow.proto.RunMetadata: Metadata about the session.
hasSessionMetadata() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: Metadata about the session.
hasShape() - Method in class org.tensorflow.proto.AttrValue.Builder: "shape"
hasShape() - Method in class org.tensorflow.proto.AttrValue: "shape"
hasShape() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "shape"
hasShape() - Method in class org.tensorflow.proto.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.BundleEntryProto: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.BundleEntryProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.TensorShapeProto shape = 1;
hasShape() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.TensorShapeProto shape = 1;
hasShape() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType: .tensorflow.TensorShapeProto shape = 1;
hasShape() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndTypeOrBuilder: .tensorflow.TensorShapeProto shape = 1;
hasShape() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult: .tensorflow.TensorShapeProto shape = 1;
hasShape() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResultOrBuilder: .tensorflow.TensorShapeProto shape = 1;
hasShape() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
hasShape() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo: .tensorflow.TensorShapeProto shape = 3;
hasShape() - Method in interface org.tensorflow.proto.CostGraphDef.Node.OutputInfoOrBuilder: .tensorflow.TensorShapeProto shape = 3;
hasShape() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.eager.ResourceDtypeAndShapeOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.FixedLenFeatureProto: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.FixedLenFeatureProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfo.TensorPropertiesOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Shape of the tensor.
hasShape() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape: Shape of the tensor.
hasShape() - Method in interface org.tensorflow.proto.ResourceHandleProto.DtypeAndShapeOrBuilder: Shape of the tensor.
hasShape() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariableOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Shape of the tensor
hasShape() - Method in class org.tensorflow.proto.SavedSliceMeta: Shape of the tensor
hasShape() - Method in interface org.tensorflow.proto.SavedSliceMetaOrBuilder: Shape of the tensor
hasShape() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.Struct.BoundedTensorSpecProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.Struct.TensorSpecProto: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in interface org.tensorflow.proto.Struct.TensorSpecProtoOrBuilder: .tensorflow.TensorShapeProto shape = 2;
hasShape() - Method in class org.tensorflow.proto.TensorDescription.Builder: Shape of the tensor.
hasShape() - Method in class org.tensorflow.proto.TensorDescription: Shape of the tensor.
hasShape() - Method in interface org.tensorflow.proto.TensorDescriptionOrBuilder: Shape of the tensor.
hasShuffleAndRepeatFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool shuffle_and_repeat_fusion = 17;
hasShuffleAndRepeatFusion() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions: bool shuffle_and_repeat_fusion = 17;
hasShuffleAndRepeatFusion() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptimizationOptionsOrBuilder: bool shuffle_and_repeat_fusion = 17;
hasSignature() - Method in class org.tensorflow.proto.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
hasSignature() - Method in class org.tensorflow.proto.FunctionDef: The definition of the function's name, arguments, return values, attrs etc.
hasSignature() - Method in interface org.tensorflow.proto.FunctionDefOrBuilder: The definition of the function's name, arguments, return values, attrs etc.
hasSimpleValue() - Method in class org.tensorflow.proto.Summary.Value.Builder: float simple_value = 2;
hasSimpleValue() - Method in class org.tensorflow.proto.Summary.Value: float simple_value = 2;
hasSimpleValue() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: float simple_value = 2;
hasSlack() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool slack = 4;
hasSlack() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: bool slack = 4;
hasSlack() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: bool slack = 4;
hasSlice() - Method in class org.tensorflow.proto.SavedSlice.Builder: Extent of the slice.
hasSlice() - Method in class org.tensorflow.proto.SavedSlice: Extent of the slice.
hasSlice() - Method in interface org.tensorflow.proto.SavedSliceOrBuilder: Extent of the slice.
hasSource() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Indicates the source environment where this proto is generated.
hasSource() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph: Indicates the source environment where this proto is generated.
hasSource() - Method in interface org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder: Indicates the source environment where this proto is generated.
hasSourceFile() - Method in class org.tensorflow.proto.DebugEvent.Builder: The content of a source file.
hasSourceFile() - Method in class org.tensorflow.proto.DebugEvent: The content of a source file.
hasSourceFile() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: The content of a source file.
hasSourceMetadata() - Method in class org.tensorflow.proto.Event.Builder: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
hasSourceMetadata() - Method in class org.tensorflow.proto.Event: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
hasSourceMetadata() - Method in interface org.tensorflow.proto.EventOrBuilder: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
hasStackFrameWithId() - Method in class org.tensorflow.proto.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
hasStackFrameWithId() - Method in class org.tensorflow.proto.DebugEvent: A stack frame (filename, line number and column number, function name and code string) with ID.
hasStackFrameWithId() - Method in interface org.tensorflow.proto.DebugEventOrBuilder: A stack frame (filename, line number and column number, function name and code string) with ID.
hasStats() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
hasStats() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump: .tensorflow.MemAllocatorStats stats = 5;
hasStats() - Method in interface org.tensorflow.proto.BfcMemoryMap.MemoryDumpOrBuilder: .tensorflow.MemAllocatorStats stats = 5;
hasStepStats() - Method in class org.tensorflow.proto.RunMetadata.Builder: Statistics traced for this step.
hasStepStats() - Method in class org.tensorflow.proto.RunMetadata: Statistics traced for this step.
hasStepStats() - Method in interface org.tensorflow.proto.RunMetadataOrBuilder: Statistics traced for this step.
hasStreamMergeOptions() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
hasStreamMergeOptions() - Method in class org.tensorflow.proto.GPUOptions.Experimental: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
hasStreamMergeOptions() - Method in interface org.tensorflow.proto.GPUOptions.ExperimentalOrBuilder: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
hasStringValue() - Method in class org.tensorflow.proto.EntryValue.Builder: string string_value = 2;
hasStringValue() - Method in class org.tensorflow.proto.EntryValue: string string_value = 2;
hasStringValue() - Method in interface org.tensorflow.proto.EntryValueOrBuilder: string string_value = 2;
hasStringValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a string of Unicode characters stored in a Python `str`.
hasStringValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a string of Unicode characters stored in a Python `str`.
hasStringValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a string of Unicode characters stored in a Python `str`.
hasStrippedOpList() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
hasStrippedOpList() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef: A copy of the OpDefs used by the producer of this graph_def.
hasStrippedOpList() - Method in interface org.tensorflow.proto.MetaGraphDef.MetaInfoDefOrBuilder: A copy of the OpDefs used by the producer of this graph_def.
hasStrValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: string str_value = 5;
hasStrValue() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: string str_value = 5;
hasStrValue() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: string str_value = 5;
hasSummary() - Method in class org.tensorflow.proto.Event.Builder: A summary was generated.
hasSummary() - Method in class org.tensorflow.proto.Event: A summary was generated.
hasSummary() - Method in interface org.tensorflow.proto.EventOrBuilder: A summary was generated.
hasSymbolicCheckpoint() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool symbolic_checkpoint = 8;
hasSymbolicCheckpoint() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: bool symbolic_checkpoint = 8;
hasSymbolicCheckpoint() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: bool symbolic_checkpoint = 8;
hasTaggedRunMetadata() - Method in class org.tensorflow.proto.Event.Builder: The metadata returned by running a session.run() call.
hasTaggedRunMetadata() - Method in class org.tensorflow.proto.Event: The metadata returned by running a session.run() call.
hasTaggedRunMetadata() - Method in interface org.tensorflow.proto.EventOrBuilder: The metadata returned by running a session.run() call.
hasTensor() - Method in class org.tensorflow.proto.AttrValue.Builder: "tensor"
hasTensor() - Method in class org.tensorflow.proto.AttrValue: "tensor"
hasTensor() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "tensor"
hasTensor() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Allocated tensor details.
hasTensor() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation: Allocated tensor details.
hasTensor() - Method in interface org.tensorflow.proto.MemoryLogTensorAllocationOrBuilder: Allocated tensor details.
hasTensor() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Output tensor details.
hasTensor() - Method in class org.tensorflow.proto.MemoryLogTensorOutput: Output tensor details.
hasTensor() - Method in interface org.tensorflow.proto.MemoryLogTensorOutputOrBuilder: Output tensor details.
hasTensor() - Method in class org.tensorflow.proto.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
hasTensor() - Method in class org.tensorflow.proto.NamedTensorProto: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
hasTensor() - Method in interface org.tensorflow.proto.NamedTensorProtoOrBuilder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
hasTensor() - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
hasTensor() - Method in class org.tensorflow.proto.Summary.Value: .tensorflow.TensorProto tensor = 8;
hasTensor() - Method in interface org.tensorflow.proto.Summary.ValueOrBuilder: .tensorflow.TensorProto tensor = 8;
hasTensorDescription() - Method in class org.tensorflow.proto.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
hasTensorDescription() - Method in class org.tensorflow.proto.NodeOutput: .tensorflow.TensorDescription tensor_description = 3;
hasTensorDescription() - Method in interface org.tensorflow.proto.NodeOutputOrBuilder: .tensorflow.TensorDescription tensor_description = 3;
hasTensorDtypeValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents an enum value for dtype.
hasTensorDtypeValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents an enum value for dtype.
hasTensorDtypeValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents an enum value for dtype.
hasTensorInfo() - Method in class org.tensorflow.proto.AssetFileDef.Builder: The tensor to bind the asset filename to.
hasTensorInfo() - Method in class org.tensorflow.proto.AssetFileDef: The tensor to bind the asset filename to.
hasTensorInfo() - Method in interface org.tensorflow.proto.AssetFileDefOrBuilder: The tensor to bind the asset filename to.
hasTensorProto() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
hasTensorProto() - Method in class org.tensorflow.proto.GraphExecutionTrace: Tensor value in the type described by `tensor_value_type`.
hasTensorProto() - Method in interface org.tensorflow.proto.GraphExecutionTraceOrBuilder: Tensor value in the type described by `tensor_value_type`.
hasTensorShape() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The shape of the component tensor.
hasTensorShape() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata: The shape of the component tensor.
hasTensorShape() - Method in interface org.tensorflow.proto.data.Dataset.CompressedComponentMetadataOrBuilder: The shape of the component tensor.
hasTensorShape() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
hasTensorShape() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata: .tensorflow.TensorShapeProto tensor_shape = 2;
hasTensorShape() - Method in interface org.tensorflow.proto.data.experimental.Snapshot.TensorMetadataOrBuilder: .tensorflow.TensorShapeProto tensor_shape = 2;
hasTensorShape() - Method in class org.tensorflow.proto.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
hasTensorShape() - Method in class org.tensorflow.proto.TensorInfo: The static shape should be recorded here, to the extent that it can be known in advance.
hasTensorShape() - Method in interface org.tensorflow.proto.TensorInfoOrBuilder: The static shape should be recorded here, to the extent that it can be known in advance.
hasTensorShape() - Method in class org.tensorflow.proto.TensorProto.Builder: Shape of the tensor.
hasTensorShape() - Method in class org.tensorflow.proto.TensorProto: Shape of the tensor.
hasTensorShape() - Method in interface org.tensorflow.proto.TensorProtoOrBuilder: Shape of the tensor.
hasTensorShapeValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a TensorShape.
hasTensorShapeValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a TensorShape.
hasTensorShapeValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a TensorShape.
hasTensorSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TensorSpec.
hasTensorSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for tf.TensorSpec.
hasTensorSpecValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for tf.TensorSpec.
hasTensorValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.Tensor.
hasTensorValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for tf.Tensor.
hasTensorValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for tf.Tensor.
hasThreadingOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The threading options associated with the dataset.
hasThreadingOptions() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: The threading options associated with the dataset.
hasThreadingOptions() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: The threading options associated with the dataset.
hasTupleValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a tuple of `Value`.
hasTupleValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a tuple of `Value`.
hasTupleValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a tuple of `Value`.
hasType() - Method in class org.tensorflow.proto.AttrValue.Builder: "type"
hasType() - Method in class org.tensorflow.proto.AttrValue: "type"
hasType() - Method in interface org.tensorflow.proto.AttrValueOrBuilder: "type"
hasType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.FullTypeDef type = 4;
hasType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType: .tensorflow.FullTypeDef type = 4;
hasType() - Method in interface org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndTypeOrBuilder: .tensorflow.FullTypeDef type = 4;
hasTypeSpec() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
hasTypeSpec() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor: The serialized TypeSpec for the composite tensor.
hasTypeSpec() - Method in interface org.tensorflow.proto.TensorInfo.CompositeTensorOrBuilder: The serialized TypeSpec for the composite tensor.
hasTypeSpecProto() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
hasTypeSpecProto() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata: .tensorflow.TypeSpecProto type_spec_proto = 1;
hasTypeSpecProto() - Method in interface org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadataOrBuilder: .tensorflow.TypeSpecProto type_spec_proto = 1;
hasTypeSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TypeSpec.
hasTypeSpecValue() - Method in class org.tensorflow.proto.Struct.StructuredValue: Represents a value for tf.TypeSpec.
hasTypeSpecValue() - Method in interface org.tensorflow.proto.Struct.StructuredValueOrBuilder: Represents a value for tf.TypeSpec.
hasTypeState() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The value returned by TypeSpec.
hasTypeState() - Method in class org.tensorflow.proto.Struct.TypeSpecProto: The value returned by TypeSpec.
hasTypeState() - Method in interface org.tensorflow.proto.Struct.TypeSpecProtoOrBuilder: The value returned by TypeSpec.
hasUint64Value() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: uint64 uint64_value = 3;
hasUint64Value() - Method in class org.tensorflow.proto.profiler.Xplane.XStat: uint64 uint64_value = 3;
hasUint64Value() - Method in interface org.tensorflow.proto.profiler.Xplane.XStatOrBuilder: uint64 uint64_value = 3;
hasUserObject() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
hasUserObject() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedUserObject user_object = 4;
hasUserObject() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedUserObject user_object = 4;
hasValue() - Method in class org.tensorflow.framework.data.DatasetOptional: Gets the indicator of whether this optional has a value.
hasValue() - Method in class org.tensorflow.op.data.OptionalHasValue: Gets hasValue.
hasValue() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
hasValue() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties: .tensorflow.TensorProto value = 3;
hasValue() - Method in interface org.tensorflow.proto.OpPerformanceData.OpInfo.TensorPropertiesOrBuilder: .tensorflow.TensorProto value = 3;
hasValue() - Method in class org.tensorflow.proto.Struct.PairValue.Builder: .tensorflow.StructuredValue value = 2;
hasValue() - Method in class org.tensorflow.proto.Struct.PairValue: .tensorflow.StructuredValue value = 2;
hasValue() - Method in interface org.tensorflow.proto.Struct.PairValueOrBuilder: .tensorflow.StructuredValue value = 2;
hasValuesDef() - Method in class org.tensorflow.proto.CondContextDef.Builder: Values and external values in control flow context.
hasValuesDef() - Method in class org.tensorflow.proto.CondContextDef: Values and external values in control flow context.
hasValuesDef() - Method in interface org.tensorflow.proto.CondContextDefOrBuilder: Values and external values in control flow context.
hasValuesDef() - Method in class org.tensorflow.proto.WhileContextDef.Builder: Values and external values in control flow context.
hasValuesDef() - Method in class org.tensorflow.proto.WhileContextDef: Values and external values in control flow context.
hasValuesDef() - Method in interface org.tensorflow.proto.WhileContextDefOrBuilder: Values and external values in control flow context.
hasVariable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
hasVariable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject: .tensorflow.SavedVariable variable = 7;
hasVariable() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectOrBuilder: .tensorflow.SavedVariable variable = 7;
hasVarLenFeature() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
hasVarLenFeature() - Method in class org.tensorflow.proto.FeatureConfiguration: .tensorflow.VarLenFeatureProto var_len_feature = 2;
hasVarLenFeature() - Method in interface org.tensorflow.proto.FeatureConfigurationOrBuilder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
hasVersion() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
hasVersion() - Method in class org.tensorflow.proto.BundleHeaderProto: Versioning of the tensor bundle format.
hasVersion() - Method in interface org.tensorflow.proto.BundleHeaderProtoOrBuilder: Versioning of the tensor bundle format.
hasVersion() - Method in class org.tensorflow.proto.FingerprintDef.Builder: Version specification of the fingerprint.
hasVersion() - Method in class org.tensorflow.proto.FingerprintDef: Version specification of the fingerprint.
hasVersion() - Method in interface org.tensorflow.proto.FingerprintDefOrBuilder: Version specification of the fingerprint.
hasVersion() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
hasVersion() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject: Version information from the producer of this SavedUserObject.
hasVersion() - Method in interface org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObjectOrBuilder: Version information from the producer of this SavedUserObject.
hasVersions() - Method in class org.tensorflow.proto.GraphDef.Builder: Compatibility versions of the graph.
hasVersions() - Method in class org.tensorflow.proto.GraphDef: Compatibility versions of the graph.
hasVersions() - Method in interface org.tensorflow.proto.GraphDefOrBuilder: Compatibility versions of the graph.
hasVersions() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
hasVersions() - Method in class org.tensorflow.proto.SavedTensorSliceMeta: Compatibility version of this checkpoint.
hasVersions() - Method in interface org.tensorflow.proto.SavedTensorSliceMetaOrBuilder: Compatibility version of this checkpoint.
hasWarmStart() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool warm_start = 9;
hasWarmStart() - Method in class org.tensorflow.proto.data.DatasetOptions.Options: bool warm_start = 9;
hasWarmStart() - Method in interface org.tensorflow.proto.data.DatasetOptions.OptionsOrBuilder: bool warm_start = 9;
hasWatchdogConfig() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
hasWatchdogConfig() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest: .tensorflow.WatchdogConfig watchdog_config = 2;
hasWatchdogConfig() - Method in interface org.tensorflow.proto.WorkerHeartbeatRequestOrBuilder: .tensorflow.WatchdogConfig watchdog_config = 2;
hasWhileCtxt() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
hasWhileCtxt() - Method in class org.tensorflow.proto.ControlFlowContextDef: .tensorflow.WhileContextDef while_ctxt = 2;
hasWhileCtxt() - Method in interface org.tensorflow.proto.ControlFlowContextDefOrBuilder: .tensorflow.WhileContextDef while_ctxt = 2;
hbmBuffersConfig - Variable in class org.tensorflow.op.tpu.ComputeDedupDataSize.Inputs: Serialized HbmBuffersConfig proto.
hbmBuffersConfig - Variable in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask.Inputs: Serialized HbmBuffersConfig proto.
hbmBuffersConfig - Variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations.Inputs: Serialized HbmBuffersConfig proto.
hbmBuffersConfig - Variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData.Inputs: Serialized HbmBuffersConfig proto.
hbmBuffersConfig - Variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs: Serialized HbmBuffersConfig proto.
hbmBuffersConfig() - Method in class org.tensorflow.op.tpu.FinalizeTPUEmbedding: Gets hbmBuffersConfig.
He<T> - Class in org.tensorflow.framework.initializers: He initializer.
He(VarianceScaling.Distribution, long) - Constructor for class org.tensorflow.framework.initializers.He: Creates an He Initializer
head(Shape) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional Operand containing the Shape's first dimension.
head(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional Operand containing the Shape's first dimension.
head(Scope, Shape) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional Operand containing the Shape's first dimension.
head(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional Operand containing the Shape's first dimension.
header - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The header input
header - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The header input
headerBytes - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The headerBytes input
headerBytes - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: Number of bytes in the header, defaults to 0.
headerBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the headerBytes option.
headerBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the headerBytes option.
HEALTH_STATUS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WorkerHeartbeatResponse
HEARTBEAT_INTERVAL_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
HEARTBEAT_TIMEOUT_IN_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
HEIGHT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Image
Helpers - Class in org.tensorflow.op.core: Container class for core methods which add or perform several operations and return one of them.
HEURISTICS - Enum constant in enum org.tensorflow.proto.RewriterConfig.MemOptType: Use any combination of swapping and recomputation heuristics.
HEURISTICS_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.MemOptType: Use any combination of swapping and recomputation heuristics.
HEXAGON - Enum constant in enum org.tensorflow.proto.GraphTransferInfo.Destination: HEXAGON = 1;
HEXAGON_VALUE - Static variable in enum org.tensorflow.proto.GraphTransferInfo.Destination: HEXAGON = 1;
hGrad - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The gradient of h vector.
hGrad - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The gradient of h vector.
HIDDEN - Enum constant in enum org.tensorflow.proto.ApiDef.Visibility: Hide this op by putting it into an internal namespace (or whatever is appropriate in the target language).
HIDDEN_VALUE - Static variable in enum org.tensorflow.proto.ApiDef.Visibility: Hide this op by putting it into an internal namespace (or whatever is appropriate in the target language).
HILL_CLIMB - Enum constant in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: HILL_CLIMB = 1;
HILL_CLIMB_VALUE - Static variable in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: HILL_CLIMB = 1;
hinge(Ops, Operand, Operand) - Static method in class org.tensorflow.framework.losses.Losses: Computes the hinge loss between labels and predictions
Hinge - Class in org.tensorflow.framework.losses: Computes the hinge loss between labels and predictions.
Hinge<T> - Class in org.tensorflow.framework.metrics: A metric that computes the hinge loss metric between labels and predictions.
Hinge() - Constructor for class org.tensorflow.framework.losses.Hinge: Creates a Hinge AbstractLoss using Class.getSimpleName() as the loss name and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
Hinge(long, Class) - Constructor for class org.tensorflow.framework.metrics.Hinge: Creates a Hinge metric using Class.getSimpleName() for the metric name.
Hinge(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.Hinge: Creates a Hinge metric
Hinge(String, Reduction) - Constructor for class org.tensorflow.framework.losses.Hinge: Creates a Hinge
Hinge(Reduction) - Constructor for class org.tensorflow.framework.losses.Hinge: Creates a Hinge AbstractLoss using Class.getSimpleName() as the loss name
HINT - Enum constant in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Looks for the presence of `shard(SHARD_HINT, ...)` which is treated as a placeholder to replace with `shard(num_workers, worker_index)`.
HINT - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: HINT: Looks for the presence of `shard(SHARD_HINT, ...)` which is treated as a placeholder to replace with `shard(num_workers, worker_index)`.
HINT_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Looks for the presence of `shard(SHARD_HINT, ...)` which is treated as a placeholder to replace with `shard(num_workers, worker_index)`.
HINT_VALUE - Static variable in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: HINT: Looks for the presence of `shard(SHARD_HINT, ...)` which is treated as a placeholder to replace with `shard(num_workers, worker_index)`.
HISTO - Enum constant in enum org.tensorflow.proto.Summary.Value.ValueCase
HISTO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Value
Histogram - Class in org.tensorflow.proto
histogramFixedWidth(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Return histogram of values.
histogramFixedWidth(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Return histogram of values.
HistogramFixedWidth - Class in org.tensorflow.op.core: Return histogram of values.
HistogramFixedWidth(Operation) - Constructor for class org.tensorflow.op.core.HistogramFixedWidth
HistogramFixedWidth.Inputs<T> - Class in org.tensorflow.op.core
HistogramProto - Class in org.tensorflow.proto: Serialization format for histogram module in tsl/lib/histogram/histogram.h
HistogramProto.Builder - Class in org.tensorflow.proto: Serialization format for histogram module in tsl/lib/histogram/histogram.h
HistogramProtoOrBuilder - Interface in org.tensorflow.proto
histogramSummary(Operand, Operand) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with a histogram.
HistogramSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with a histogram.
HistogramSummary(Operation) - Constructor for class org.tensorflow.op.summary.HistogramSummary
HistogramSummary.Inputs - Class in org.tensorflow.op.summary
hopBytes - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: Number of bytes to hop before each read.
hopBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the hopBytes option.
hopBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the hopBytes option.
HOST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedSourceFile
HOST_MEMORY_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.KernelDef
HOST_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CodeLocation
HOST_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SourceFile
HOST_TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
HOST_TRACER_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
hostComputeCore - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The hostComputeCore attribute
hostComputeCore - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The hostComputeCore attribute
hostComputeCore(String...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the hostComputeCore option.
hostComputeCore(String...) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the hostComputeCore option.
hostComputeCore(String...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the hostComputeCore option.
hostComputeCore(String...) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the hostComputeCore option.
hostComputeCore(List) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the hostComputeCore option.
hostComputeCore(List) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the hostComputeCore option.
hostComputeCore(List) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the hostComputeCore option.
hostComputeCore(List) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the hostComputeCore option.
hostConst(Tensor, Class) - Method in class org.tensorflow.op.Ops: Returns a constant tensor on the host.
HostConst<T> - Class in org.tensorflow.op.core: Returns a constant tensor on the host.
HostConst(Operation) - Constructor for class org.tensorflow.op.core.HostConst
HostConst.Inputs - Class in org.tensorflow.op.core
HOSTNAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MachineConfiguration
HOSTNAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WorkerHeartbeatResponse
HOSTNAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XSpace
hostReserved - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The hostReserved input
hostReserved() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets hostReserved.
hPrev - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Initial output of cell (to be used for peephole).
hPrev - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: Initial output of cell (to be used for peephole).
hPrev - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The hPrev input
hPrev - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The hPrev input
hPrev - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: Output of the previous cell at previous time step.
hPrev - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The previous h state.
hPrevGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets hPrevGrad.
hsvToRgb(Operand) - Method in class org.tensorflow.op.ImageOps: Convert one or more images from HSV to RGB.
HsvToRgb<T> - Class in org.tensorflow.op.image: Convert one or more images from HSV to RGB.
HsvToRgb(Operation) - Constructor for class org.tensorflow.op.image.HsvToRgb
HsvToRgb.Inputs<T> - Class in org.tensorflow.op.image
huber(Ops, Operand, Operand, float) - Static method in class org.tensorflow.framework.losses.Losses: Computes the Huber loss between labels and predictions.
Huber - Class in org.tensorflow.framework.losses: Computes the Huber loss between labels and predictions.
Huber() - Constructor for class org.tensorflow.framework.losses.Huber: Creates a Huber AbstractLoss using Class.getSimpleName() as the loss name, Huber.DELTA_DEFAULT as the delta and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
Huber(String) - Constructor for class org.tensorflow.framework.losses.Huber: Creates a Huber AbstractLoss using Huber.DELTA_DEFAULT as the delta and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
Huber(String, float, Reduction) - Constructor for class org.tensorflow.framework.losses.Huber: Creates a Huber AbstractLoss
Huber(String, Reduction) - Constructor for class org.tensorflow.framework.losses.Huber: Creates a Huber AbstractLoss using Huber.DELTA_DEFAULT as the delta
Huber(Reduction) - Constructor for class org.tensorflow.framework.losses.Huber: Creates a Huber AbstractLoss using Class.getSimpleName() as the loss name and and Huber.DELTA_DEFAULT as the delta
hyperparameters - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput.Inputs: The hyperparameters input
hypothesisIndices - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The indices of the hypothesis list SparseTensor.
hypothesisShape - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The shape of the hypothesis list SparseTensor.
hypothesisValues - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The values of the hypothesis list SparseTensor.

I

i - Variable in class org.tensorflow.op.core.InplaceAdd.Inputs: A vector.
i - Variable in class org.tensorflow.op.core.InplaceSub.Inputs: A vector.
i - Variable in class org.tensorflow.op.core.InplaceUpdate.Inputs: A vector.
i - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The input gate over the whole time sequence.
i - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The input gate.
i() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets i.
i() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets i.
I - Enum constant in enum org.tensorflow.proto.AttrValue.ValueCase
I - Enum constant in enum org.tensorflow.proto.FullTypeDef.AttrCase
I_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue
I_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue.ListValue
I_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FullTypeDef
id - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The id input
id - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The id input
id() - Method in class org.tensorflow.op.core.Batch: Gets id.
ID_COUNTER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XLine
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XPlane
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.StackFrameWithId
idCounts - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The idCounts input
idCounts() - Method in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors: Gets idCounts.
idCounts() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets idCounts.
idCountsList - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The idCountsList input
identicalElementShapes - Variable in class org.tensorflow.op.core.TensorArray.Inputs: If true (default is false), then all elements in the TensorArray will be expected to have identical shapes.
identicalElementShapes(Boolean) - Static method in class org.tensorflow.op.core.TensorArray: Sets the identicalElementShapes option.
identicalElementShapes(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the identicalElementShapes option.
IDENTIFIER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
identity(Operand) - Method in class org.tensorflow.op.Ops: Return a tensor with the same shape and contents as the input tensor or value.
Identity<T> - Class in org.tensorflow.framework.initializers: Initializer that generates the identity matrix.
Identity<T> - Class in org.tensorflow.op.core: Return a tensor with the same shape and contents as the input tensor or value.
Identity() - Constructor for class org.tensorflow.framework.initializers.Identity: Creates an Initializer that generates the identity matrix.
Identity(double) - Constructor for class org.tensorflow.framework.initializers.Identity: Creates an Initializer that generates the identity matrix.
Identity(Operation) - Constructor for class org.tensorflow.op.core.Identity
Identity.Inputs<T> - Class in org.tensorflow.op.core
identityN(Iterable) - Method in class org.tensorflow.op.Ops: Returns a list of tensors with the same shapes and contents as the input tensors.
IdentityN - Class in org.tensorflow.op.core: Returns a list of tensors with the same shapes and contents as the input tensors.
IdentityN(Operation) - Constructor for class org.tensorflow.op.core.IdentityN
IdentityN.Inputs - Class in org.tensorflow.op.core
identityReader(IdentityReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the queued work as both the key and value.
IdentityReader - Class in org.tensorflow.op.io: A Reader that outputs the queued work as both the key and value.
IdentityReader(Operation) - Constructor for class org.tensorflow.op.io.IdentityReader
IdentityReader.Inputs - Class in org.tensorflow.op.io
IdentityReader.Options - Class in org.tensorflow.op.io: Optional attributes for IdentityReader
ids() - Method in class org.tensorflow.op.nn.ComputeAccidentalHits: Gets ids.
idsUnpaddedSize() - Method in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor: Gets idsUnpaddedSize.
idsUnpaddedSize() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets idsUnpaddedSize.
idx() - Method in class org.tensorflow.op.core.SetDiff1d: Gets idx. 1-D.
idx() - Method in class org.tensorflow.op.core.Unique: Gets idx.
idx() - Method in class org.tensorflow.op.core.UniqueWithCounts: Gets idx.
If - Interface in org.tensorflow.op.core: output = cond ?
If.Options - Class in org.tensorflow.op.core: Optional attributes for If
ifft(Operand) - Method in class org.tensorflow.op.SignalOps: Inverse fast Fourier transform.
Ifft<T> - Class in org.tensorflow.op.signal: Inverse fast Fourier transform.
Ifft(Operation) - Constructor for class org.tensorflow.op.signal.Ifft
Ifft.Inputs<T> - Class in org.tensorflow.op.signal
ifft2d(Operand) - Method in class org.tensorflow.op.SignalOps: Inverse 2D fast Fourier transform.
Ifft2d<T> - Class in org.tensorflow.op.signal: Inverse 2D fast Fourier transform.
Ifft2d(Operation) - Constructor for class org.tensorflow.op.signal.Ifft2d
Ifft2d.Inputs<T> - Class in org.tensorflow.op.signal
ifft3d(Operand) - Method in class org.tensorflow.op.SignalOps: Inverse 3D fast Fourier transform.
Ifft3d<T> - Class in org.tensorflow.op.signal: Inverse 3D fast Fourier transform.
Ifft3d(Operation) - Constructor for class org.tensorflow.op.signal.Ifft3d
Ifft3d.Inputs<T> - Class in org.tensorflow.op.signal
ifftNd(Operand, Operand, Operand) - Method in class org.tensorflow.op.SignalOps: ND inverse fast Fourier transform.
IfftNd<T> - Class in org.tensorflow.op.signal: ND inverse fast Fourier transform.
IfftNd(Operation) - Constructor for class org.tensorflow.op.signal.IfftNd
IfftNd.Inputs<T> - Class in org.tensorflow.op.signal
ifOp(Operand, Iterable, List, ConcreteFunction, ConcreteFunction, If.Options...) - Method in class org.tensorflow.op.Ops: output = cond ?
igamma(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Compute the lower regularized incomplete Gamma function P(a, x).
Igamma<T> - Class in org.tensorflow.op.math: Compute the lower regularized incomplete Gamma function P(a, x).
Igamma(Operation) - Constructor for class org.tensorflow.op.math.Igamma
Igamma.Inputs<T> - Class in org.tensorflow.op.math
igammac(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Compute the upper regularized incomplete Gamma function Q(a, x).
Igammac<T> - Class in org.tensorflow.op.math: Compute the upper regularized incomplete Gamma function Q(a, x).
Igammac(Operation) - Constructor for class org.tensorflow.op.math.Igammac
Igammac.Inputs<T> - Class in org.tensorflow.op.math
igammaGradA(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the gradient of igamma(a, x) wrt a.
IgammaGradA<T> - Class in org.tensorflow.op.math: Computes the gradient of igamma(a, x) wrt a.
IgammaGradA(Operation) - Constructor for class org.tensorflow.op.math.IgammaGradA
IgammaGradA.Inputs<T> - Class in org.tensorflow.op.math
ignoreErrorsDataset(Operand, List, List, IgnoreErrorsDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that contains the elements of input_dataset ignoring errors.
ignoreErrorsDataset(Operand, List, List, IgnoreErrorsDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that contains the elements of input_dataset ignoring errors.
IgnoreErrorsDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that contains the elements of input_dataset ignoring errors.
IgnoreErrorsDataset - Class in org.tensorflow.op.data: Creates a dataset that contains the elements of input_dataset ignoring errors.
IgnoreErrorsDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.IgnoreErrorsDataset
IgnoreErrorsDataset(Operation) - Constructor for class org.tensorflow.op.data.IgnoreErrorsDataset
IgnoreErrorsDataset.Inputs - Class in org.tensorflow.op.data.experimental
IgnoreErrorsDataset.Inputs - Class in org.tensorflow.op.data
IgnoreErrorsDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for IgnoreErrorsDataset
IgnoreErrorsDataset.Options - Class in org.tensorflow.op.data: Optional attributes for IgnoreErrorsDataset
ignoreLongerOutputsThanInputs - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: Scalar.
ignoreLongerOutputsThanInputs - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: Scalar.
ignoreLongerOutputsThanInputs(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss: Sets the ignoreLongerOutputsThanInputs option.
ignoreLongerOutputsThanInputs(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options: Sets the ignoreLongerOutputsThanInputs option.
ignoreLongerOutputsThanInputs(Boolean) - Static method in class org.tensorflow.op.nn.CTCLossV2: Sets the ignoreLongerOutputsThanInputs option.
ignoreLongerOutputsThanInputs(Boolean) - Method in class org.tensorflow.op.nn.CTCLossV2.Options: Sets the ignoreLongerOutputsThanInputs option.
ignoreLookupError - Variable in class org.tensorflow.op.core.DestroyResourceOp.Inputs: whether to ignore the error when the resource doesn't exist.
ignoreLookupError(Boolean) - Static method in class org.tensorflow.op.core.DestroyResourceOp: Sets the ignoreLookupError option.
ignoreLookupError(Boolean) - Method in class org.tensorflow.op.core.DestroyResourceOp.Options: Sets the ignoreLookupError option.
imag - Variable in class org.tensorflow.op.dtypes.Complex.Inputs: The imag input
imag(Operand) - Method in class org.tensorflow.op.MathOps: Returns the imaginary part of a complex number.
imag(Operand, Class) - Method in class org.tensorflow.op.MathOps: Returns the imaginary part of a complex number.
Imag - Class in org.tensorflow.op.math: Returns the imaginary part of a complex number.
Imag(Operation) - Constructor for class org.tensorflow.op.math.Imag
Imag.Inputs - Class in org.tensorflow.op.math
image - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A 4-D tensor of shape [batch, image_height, image_width, depth].
image - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A 4-D tensor of shape [batch, image_height, image_width, depth].
image - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: 3-D with shape [height, width, channels].
image - Variable in class org.tensorflow.op.image.EncodePng.Inputs: 3-D with shape [height, width, channels].
image - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: 3-D of shape [height, width, channels].
image - Variable in class org.tensorflow.op.Ops
image() - Method in class org.tensorflow.op.image.DecodeAndCropJpeg: Gets image. 3-D with shape [height, width, channels]..
image() - Method in class org.tensorflow.op.image.DecodeBmp: Gets image. 3-D with shape [height, width, channels].
image() - Method in class org.tensorflow.op.image.DecodeGif: Gets image. 4-D with shape [num_frames, height, width, 3].
image() - Method in class org.tensorflow.op.image.DecodeImage: Gets image. 3-D with shape [height, width, channels] or 4-D with shape [frame, height, width, channels]..
image() - Method in class org.tensorflow.op.image.DecodeJpeg: Gets image. 3-D with shape [height, width, channels]..
image() - Method in class org.tensorflow.op.image.DecodePng: Gets image. 3-D with shape [height, width, channels].
IMAGE - Enum constant in enum org.tensorflow.proto.Summary.Value.ValueCase
IMAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Value
imageInfo - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A 2-D float tensor of shape [num_images, 5] containing image information Height, Width, Scale.
ImageOps - Class in org.tensorflow.op: An API for building image operations as Ops
imageProjectiveTransformV2(Operand, Operand, Operand, String, ImageProjectiveTransformV2.Options...) - Method in class org.tensorflow.op.ImageOps: Applies the given transform to each of the images.
ImageProjectiveTransformV2<T> - Class in org.tensorflow.op.image: Applies the given transform to each of the images.
ImageProjectiveTransformV2(Operation) - Constructor for class org.tensorflow.op.image.ImageProjectiveTransformV2
ImageProjectiveTransformV2.Inputs<T> - Class in org.tensorflow.op.image
ImageProjectiveTransformV2.Options - Class in org.tensorflow.op.image: Optional attributes for ImageProjectiveTransformV2
imageProjectiveTransformV3(Operand, Operand, Operand, Operand, String, ImageProjectiveTransformV3.Options...) - Method in class org.tensorflow.op.ImageOps: Applies the given transform to each of the images.
ImageProjectiveTransformV3<T> - Class in org.tensorflow.op.image: Applies the given transform to each of the images.
ImageProjectiveTransformV3(Operation) - Constructor for class org.tensorflow.op.image.ImageProjectiveTransformV3
ImageProjectiveTransformV3.Inputs<T> - Class in org.tensorflow.op.image
ImageProjectiveTransformV3.Options - Class in org.tensorflow.op.image: Optional attributes for ImageProjectiveTransformV3
images - Variable in class org.tensorflow.op.image.AdjustContrast.Inputs: Images to adjust.
images - Variable in class org.tensorflow.op.image.AdjustHue.Inputs: Images to adjust.
images - Variable in class org.tensorflow.op.image.AdjustSaturation.Inputs: Images to adjust.
images - Variable in class org.tensorflow.op.image.DrawBoundingBoxes.Inputs: 4-D with shape [batch, height, width, depth].
images - Variable in class org.tensorflow.op.image.EncodeJpegVariableQuality.Inputs: Images to adjust.
images - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: 4-D Tensor with shape [batch, in_rows, in_cols, depth].
images - Variable in class org.tensorflow.op.image.HsvToRgb.Inputs: 1-D or higher rank.
images - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ResizeArea.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.RgbToHsv.Inputs: 1-D or higher rank.
images - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The images input
imageShape() - Method in class org.tensorflow.op.image.ExtractJpegShape: Gets imageShape. 1-D.
imageSize - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A 1-D tensor with value [batch, image_height, image_width, depth] containing the original image size.
imageSize - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: 1-D, containing [height, width, channels].
imageSize - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: 1-D, containing [height, width, channels].
imageSummary(Operand, Operand, ImageSummary.Options...) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with images.
ImageSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with images.
ImageSummary(Operation) - Constructor for class org.tensorflow.op.summary.ImageSummary
ImageSummary.Inputs - Class in org.tensorflow.op.summary
ImageSummary.Options - Class in org.tensorflow.op.summary: Optional attributes for ImageSummary
immutableConst(Class, Shape, String) - Method in class org.tensorflow.op.Ops: Returns immutable tensor from memory region.
ImmutableConst<T> - Class in org.tensorflow.op.core: Returns immutable tensor from memory region.
ImmutableConst(Operation) - Constructor for class org.tensorflow.op.core.ImmutableConst
ImmutableConst.Inputs - Class in org.tensorflow.op.core
IMPLEMENTATION_SELECTOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
importEvent(Operand, Operand) - Method in class org.tensorflow.op.SummaryOps: The ImportEvent operation
ImportEvent - Class in org.tensorflow.op.summary: The ImportEvent operation
ImportEvent(Operation) - Constructor for class org.tensorflow.op.summary.ImportEvent
ImportEvent.Inputs - Class in org.tensorflow.op.summary
importGraphDef(GraphDef) - Method in class org.tensorflow.Graph: Import a representation of a TensorFlow graph.
importGraphDef(GraphDef, String) - Method in class org.tensorflow.Graph: Import a representation of a TensorFlow graph.
IN_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemChunk
INACCURATE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
inBackprop() - Method in class org.tensorflow.op.nn.Dilation2dBackpropInput: Gets inBackprop. 4-D with shape [batch, in_height, in_width, depth].
INCARNATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceAttributes
incarnationId - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: Which incarnation of the MultiDeviceIterator is running.
incarnationId() - Method in class org.tensorflow.op.data.MultiDeviceIteratorInit: Gets incarnationId.
INCLUDE_DATASET_OPS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
includeBatchInIndex - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: Whether to include batch dimension in flattened index of argmax.
includeBatchInIndex - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: Whether to include batch dimension in flattened index of argmax.
includeBatchInIndex - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: Whether to include batch dimension in flattened index of argmax.
includeBatchInIndex(Boolean) - Static method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax: Sets the includeBatchInIndex option.
includeBatchInIndex(Boolean) - Method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Options: Sets the includeBatchInIndex option.
includeBatchInIndex(Boolean) - Static method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax: Sets the includeBatchInIndex option.
includeBatchInIndex(Boolean) - Method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Options: Sets the includeBatchInIndex option.
includeBatchInIndex(Boolean) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Sets the includeBatchInIndex option.
includeBatchInIndex(Boolean) - Method in class org.tensorflow.op.nn.MaxPoolWithArgmax.Options: Sets the includeBatchInIndex option.
incompatibleShapeError - Variable in class org.tensorflow.op.math.Equal.Inputs: The incompatibleShapeError attribute
incompatibleShapeError - Variable in class org.tensorflow.op.math.NotEqual.Inputs: The incompatibleShapeError attribute
incompatibleShapeError(Boolean) - Static method in class org.tensorflow.op.math.Equal: Sets the incompatibleShapeError option.
incompatibleShapeError(Boolean) - Method in class org.tensorflow.op.math.Equal.Options: Sets the incompatibleShapeError option.
incompatibleShapeError(Boolean) - Static method in class org.tensorflow.op.math.NotEqual: Sets the incompatibleShapeError option.
incompatibleShapeError(Boolean) - Method in class org.tensorflow.op.math.NotEqual.Options: Sets the incompatibleShapeError option.
index - Variable in class org.tensorflow.op.core.GetElementAtIndex.Inputs: The index input
index - Variable in class org.tensorflow.op.core.RandomIndexShuffle.Inputs: A scalar tensor or a vector of dtype dtype.
index - Variable in class org.tensorflow.op.core.RefSelect.Inputs: A scalar that determines the input that gets selected.
index - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The index input
index - Variable in class org.tensorflow.op.core.TensorArrayRead.Inputs: The index input
index - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: The position to write to inside the TensorArray.
index - Variable in class org.tensorflow.op.core.TensorListGetItem.Inputs: The index input
index - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The index input
index - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: A scalar representing the index of the current worker out of num_workers.
index - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: A scalar representing the index of the current worker out of num_workers.
index - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: An integer representing the current worker index.
index - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents.Inputs: The index in csr_sparse_matrix's batch.
index - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The index attribute
index - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The index attribute
index() - Method in class org.tensorflow.internal.c_api.TF_Input
index() - Method in class org.tensorflow.internal.c_api.TF_Output
index() - Method in class org.tensorflow.op.cluster.KMC2ChainInitialization: Gets index.
index() - Method in class org.tensorflow.op.core.DeviceIndex: Gets index.
index() - Method in class org.tensorflow.op.core.Where: Gets index.
index() - Method in class org.tensorflow.Output: Returns the index into the outputs of the Operation.
index(int) - Method in class org.tensorflow.internal.c_api.TF_Input
index(int) - Method in class org.tensorflow.internal.c_api.TF_Output
index(Long) - Static method in class org.tensorflow.op.tpu.ReplicatedInput: Sets the index option.
index(Long) - Method in class org.tensorflow.op.tpu.ReplicatedInput.Options: Sets the index option.
index(Long) - Static method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Sets the index option.
index(Long) - Method in class org.tensorflow.op.tpu.TPUReplicatedInput.Options: Deprecated.

Sets the index option.
Index - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.Slice.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The Index attribute
INDEX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogTensorOutput
INDEXED_SLICES_SPEC - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.IndexedSlicesSpec
INDEXED_SLICES_SPEC_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.IndexedSlicesSpec
indexFlatMapDataset(Operand, Iterable, Iterable, Operand, ConcreteFunction, ConcreteFunction, List, List, IndexFlatMapDataset.Options...) - Method in class org.tensorflow.op.DataOps: The IndexFlatMapDataset operation
IndexFlatMapDataset - Class in org.tensorflow.op.data: The IndexFlatMapDataset operation
IndexFlatMapDataset(Operation) - Constructor for class org.tensorflow.op.data.IndexFlatMapDataset
IndexFlatMapDataset.Inputs - Class in org.tensorflow.op.data
IndexFlatMapDataset.Options - Class in org.tensorflow.op.data: Optional attributes for IndexFlatMapDataset
indexMapFuncOtherArgs - Variable in class org.tensorflow.op.data.IndexFlatMapDataset.Inputs: The indexMapFuncOtherArgs input
indexType - Variable in class org.tensorflow.op.core.Fill.Inputs: The indexType attribute
indexType - Variable in class org.tensorflow.op.nn.TopK.Inputs: The indexType attribute
indices - Variable in class org.tensorflow.op.core.DynamicStitch.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.Gather.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.GatherNd.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.MapStage.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.OneHot.Inputs: A tensor of indices.
indices - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.ParallelDynamicStitch.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.ResourceGatherNd.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: Tensor of indices.
indices - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: The locations in the TensorArray from which to read tensor elements.
indices - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: The locations at which to write the tensor elements.
indices - Variable in class org.tensorflow.op.core.TensorListGather.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.UnravelIndex.Inputs: An 0-D or 1-D int Tensor whose elements are indices into the flattened version of an array of dimensions dims.
indices - Variable in class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs: The indices input
indices - Variable in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix.Inputs: Indices of nonzero elements.
indices - Variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs: SparseTensor indices.
indices - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: Indices in the outermost dimension of params of the values that should be gathered.
indices - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: 2D int64 Tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: 2-D.
indices - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Tensor containing the indices of the sparse tensor to count.
indices - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: 2-D.
indices - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: 2-D.
indices - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: 2-D. the indices of the sparse tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: indices passed to the corresponding SparseSegmentMean op.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: indices passed to the corresponding SparseSegmentSqrtN op.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: indices passed to the corresponding SparseSegmentSum op.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 2-D tensor represents the indices of the sparse tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: 2-D tensor represents the indices of the sparse tensor.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: A vector of indices into the first dimension of var, ms and mom.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: A vector of indices into the first dimension of var, ms and mom.
indices - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: A vector of indices into the first dimension of var, ms and mom.
indices - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: A vector of indices into the first dimension of var, ms and mom.
indices - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs: The indices input
indices - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The indices input
indices - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The indices input
indices - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The indices input
indices - Variable in class org.tensorflow.op.xla.XlaSparseCoreSgd.Inputs: The indices input
indices() - Method in class org.tensorflow.op.core.ApproxTopK: Gets indices.
indices() - Method in class org.tensorflow.op.core.BarrierTakeMany: Gets indices.
indices() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: Gets indices.
indices() - Method in class org.tensorflow.op.nn.ComputeAccidentalHits: Gets indices.
indices() - Method in class org.tensorflow.op.nn.TopK: Gets indices.
indices() - Method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: Gets indices.
indices() - Method in class org.tensorflow.op.strings.StringSplit: Gets indices.
indices() - Method in interface org.tensorflow.SparseTensor: Gets the indices of the sparsed values.
INDICES_OUTPUT_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VarLenFeatureProto
INDICES_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorInfo.CooSparse
indicesOrRowSplits - Variable in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors.Inputs: The indicesOrRowSplits input
indicesOrRowSplits - Variable in class org.tensorflow.op.tpu.ConvertToCooTensor.Inputs: The indicesOrRowSplits input
infeedDequeue(Class, Shape) - Method in class org.tensorflow.op.TpuOps: A placeholder op for a value that will be fed into the computation.
InfeedDequeue<T> - Class in org.tensorflow.op.tpu: A placeholder op for a value that will be fed into the computation.
InfeedDequeue(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedDequeue
InfeedDequeue.Inputs - Class in org.tensorflow.op.tpu
infeedDequeueTuple(List, List) - Method in class org.tensorflow.op.TpuOps: Fetches multiple values from infeed as an XLA tuple.
InfeedDequeueTuple - Class in org.tensorflow.op.tpu: Fetches multiple values from infeed as an XLA tuple.
InfeedDequeueTuple(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedDequeueTuple
InfeedDequeueTuple.Inputs - Class in org.tensorflow.op.tpu
infeedEnqueue(Operand, InfeedEnqueue.Options...) - Method in class org.tensorflow.op.TpuOps: An op which feeds a single Tensor value into the computation.
InfeedEnqueue - Class in org.tensorflow.op.tpu: An op which feeds a single Tensor value into the computation.
InfeedEnqueue(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueue
InfeedEnqueue.Inputs - Class in org.tensorflow.op.tpu
InfeedEnqueue.Options - Class in org.tensorflow.op.tpu: Optional attributes for InfeedEnqueue
infeedEnqueuePrelinearizedBuffer(Operand, InfeedEnqueuePrelinearizedBuffer.Options...) - Method in class org.tensorflow.op.TpuOps: An op which enqueues prelinearized buffer into TPU infeed.
InfeedEnqueuePrelinearizedBuffer - Class in org.tensorflow.op.tpu: An op which enqueues prelinearized buffer into TPU infeed.
InfeedEnqueuePrelinearizedBuffer(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer
InfeedEnqueuePrelinearizedBuffer.Inputs - Class in org.tensorflow.op.tpu
InfeedEnqueuePrelinearizedBuffer.Options - Class in org.tensorflow.op.tpu: Optional attributes for InfeedEnqueuePrelinearizedBuffer
infeedEnqueueTuple(Iterable, List, InfeedEnqueueTuple.Options...) - Method in class org.tensorflow.op.TpuOps: Feeds multiple Tensor values into the computation as an XLA tuple.
InfeedEnqueueTuple - Class in org.tensorflow.op.tpu: Feeds multiple Tensor values into the computation as an XLA tuple.
InfeedEnqueueTuple(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueueTuple
InfeedEnqueueTuple.Inputs - Class in org.tensorflow.op.tpu
InfeedEnqueueTuple.Options - Class in org.tensorflow.op.tpu: Optional attributes for InfeedEnqueueTuple
INFER_SHAPES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOptions
INFO - Enum constant in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

INFO = 20;
INFO_VALUE - Static variable in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

INFO = 20;
init - Variable in class org.tensorflow.op.core.Empty.Inputs: If True, initialize the returned tensor with the default value of dtype.
init(Boolean) - Static method in class org.tensorflow.op.core.Empty: Sets the init option.
init(Boolean) - Method in class org.tensorflow.op.core.Empty.Options: Sets the init option.
init(ProcessingEnvironment) - Method in class org.tensorflow.generator.op.processor.OperatorProcessor
init(ClassProperties) - Method in class org.tensorflow.internal.c_api.presets.tensorflow
init(Ops) - Method in class org.tensorflow.framework.metrics.AUC: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.BaseMetric: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.FalseNegatives: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.FalsePositives: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.TrueNegatives: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.TruePositives: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.Accuracy: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.BinaryAccuracy: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.BinaryCrossentropy: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.CategoricalAccuracy: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.CategoricalCrossentropy: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.CategoricalHinge: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.CosineSimilarity: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.Hinge: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.KLDivergence: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.LogCoshError: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.Mean: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.MeanAbsoluteError: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.MeanSquaredError: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.Poisson: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.RootMeanSquaredError: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.SquaredHinge: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.Sum: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.MeanIoU: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.MeanRelativeError: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.MeanTensor: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.Precision: Initialize the TensorFlow Ops
init(Ops) - Method in class org.tensorflow.framework.metrics.Recall: Initialize the TensorFlow Ops
initDefault(EagerSession.Options) - Static method in class org.tensorflow.EagerSession: Initializes the default eager session, which remains active for the lifetime of the application.
initFuncOtherArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The initFuncOtherArgs input
initFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for init_func.
initFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for init_func.
INITIAL_ACCUMULATOR_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.AdaGrad
INITIAL_ACCUMULATOR_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.AdaGradDA
INITIAL_ACCUMULATOR_VALUE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Ftrl
INITIAL_PARALLELISM - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalInitialParallelismCase
INITIAL_PARALLELISM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
INITIAL_VALUE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VariableDef
initialize() - Method in class org.tensorflow.Session: Execute any un-ran initializers.
Initializer<T> - Interface in org.tensorflow.framework.initializers: An interface for Initializers
INITIALIZER_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VariableDef
initializeTable(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Table initializer that takes two tensors for keys and values respectively.
InitializeTable - Class in org.tensorflow.op.core: Table initializer that takes two tensors for keys and values respectively.
InitializeTable(Operation) - Constructor for class org.tensorflow.op.core.InitializeTable
InitializeTable.Inputs - Class in org.tensorflow.op.core
initializeTableFromDataset(Operand, Operand) - Method in class org.tensorflow.op.DataOps: The InitializeTableFromDataset operation
InitializeTableFromDataset - Class in org.tensorflow.op.data: The InitializeTableFromDataset operation
InitializeTableFromDataset(Operation) - Constructor for class org.tensorflow.op.data.InitializeTableFromDataset
InitializeTableFromDataset.Inputs - Class in org.tensorflow.op.data
initializeTableFromTextFile(Operand, Operand, Long, Long, InitializeTableFromTextFile.Options...) - Method in class org.tensorflow.op.Ops: Initializes a table from a text file.
InitializeTableFromTextFile - Class in org.tensorflow.op.core: Initializes a table from a text file.
InitializeTableFromTextFile(Operation) - Constructor for class org.tensorflow.op.core.InitializeTableFromTextFile
InitializeTableFromTextFile.Inputs - Class in org.tensorflow.op.core
InitializeTableFromTextFile.Options - Class in org.tensorflow.op.core: Optional attributes for InitializeTableFromTextFile
initializingValues - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: A float Tensor containing values to fill in for cells in the output matrix that are not loaded from the checkpoint.
initialNumBuckets - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: The initial number of hash table buckets.
initialNumBuckets - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The initial number of hash table buckets.
initialNumBuckets(Long) - Static method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable: Sets the initialNumBuckets option.
initialNumBuckets(Long) - Method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Options: Sets the initialNumBuckets option.
initialNumBuckets(Long) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the initialNumBuckets option.
initialNumBuckets(Long) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the initialNumBuckets option.
initialState - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The initialState input
initialState - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: A nested structure of tensors, representing the initial state of the transformation.
initialState - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The initialState input
INJECT_PREFETCH - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalInjectPrefetchCase
INJECT_PREFETCH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
inplaceAdd(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Adds v into specified rows of x.
InplaceAdd<T> - Class in org.tensorflow.op.core: Adds v into specified rows of x.
InplaceAdd(Operation) - Constructor for class org.tensorflow.op.core.InplaceAdd
InplaceAdd.Inputs<T> - Class in org.tensorflow.op.core
inplaceSub(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Subtracts `v` into specified rows of `x`.
InplaceSub<T> - Class in org.tensorflow.op.core: Subtracts `v` into specified rows of `x`.
InplaceSub(Operation) - Constructor for class org.tensorflow.op.core.InplaceSub
InplaceSub.Inputs<T> - Class in org.tensorflow.op.core
inplaceUpdate(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Updates specified rows 'i' with values 'v'.
InplaceUpdate<T> - Class in org.tensorflow.op.core: Updates specified rows 'i' with values 'v'.
InplaceUpdate(Operation) - Constructor for class org.tensorflow.op.core.InplaceUpdate
InplaceUpdate.Inputs<T> - Class in org.tensorflow.op.core
input - Variable in class org.tensorflow.op.audio.AudioSpectrogram.Inputs: Float representation of audio data.
input - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The input input
input - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The input input
input - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The input input
input - Variable in class org.tensorflow.op.collective.CollectivePermute.Inputs: The local input to be permuted.
input - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The input input
input - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The input input
input - Variable in class org.tensorflow.op.core.All.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.Any.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: Array to search.
input - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: 4-D tensor with shape [batch*block_size*block_size, height_pad/block_size, width_pad/block_size, depth].
input - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: N-D with shape input_shape = [batch] + spatial_shape + remaining_shape, where spatial_shape has M dimensions.
input - Variable in class org.tensorflow.op.core.Bitcast.Inputs: The input input
input - Variable in class org.tensorflow.op.core.BroadcastTo.Inputs: A Tensor to broadcast.
input - Variable in class org.tensorflow.op.core.Bucketize.Inputs: Any shape of Tensor contains with int or float type.
input - Variable in class org.tensorflow.op.core.Copy.Inputs: Input tensor.
input - Variable in class org.tensorflow.op.core.CopyHost.Inputs: Input tensor.
input - Variable in class org.tensorflow.op.core.CopyToMesh.Inputs: The input input
input - Variable in class org.tensorflow.op.core.CopyToMeshGrad.Inputs: The input input
input - Variable in class org.tensorflow.op.core.EnsureShape.Inputs: A tensor, whose shape is to be validated.
input - Variable in class org.tensorflow.op.core.ExpandDims.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: 5-D Tensor with shape [batch, in_planes, in_rows, in_cols, depth].
input - Variable in class org.tensorflow.op.core.For.Inputs: A list of input tensors whose types are T.
input - Variable in class org.tensorflow.op.core.GuaranteeConst.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Identity.Inputs: The input input
input - Variable in class org.tensorflow.op.core.IdentityN.Inputs: The input input
input - Variable in class org.tensorflow.op.core.KthOrderStatistic.Inputs: The input input
input - Variable in class org.tensorflow.op.core.LoopCond.Inputs: A boolean scalar, representing the branch predicate of the Switch op.
input - Variable in class org.tensorflow.op.core.MakeUnique.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Max.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.Min.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: The input tensor to be padded.
input - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: The input tensor to be folded.
input - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The input input
input - Variable in class org.tensorflow.op.core.NcclBroadcast.Inputs: Deprecated.

The input input
input - Variable in class org.tensorflow.op.core.NcclReduce.Inputs: Deprecated.

The input input
input - Variable in class org.tensorflow.op.core.Pad.Inputs: The input input
input - Variable in class org.tensorflow.op.core.PlaceholderWithDefault.Inputs: The default value to produce when output is not fed.
input - Variable in class org.tensorflow.op.core.Print.Inputs: The string scalar to print.
input - Variable in class org.tensorflow.op.core.Prod.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.Rank.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ReduceAll.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceAny.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.RefIdentity.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Relayout.Inputs: The input input
input - Variable in class org.tensorflow.op.core.RelayoutLike.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The input to reverse.
input - Variable in class org.tensorflow.op.core.Roll.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: A Tensor.
input - Variable in class org.tensorflow.op.core.Shape.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ShapeN.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Size.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Slice.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Snapshot.Inputs: The input input
input - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: N-D with shape input_shape = [batch] + spatial_shape + remaining_shape, where spatial_shape has M dimensions.
input - Variable in class org.tensorflow.op.core.Squeeze.Inputs: The input to squeeze.
input - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: A list of input tensors passed to the branch function.
input - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: A list of input tensors.
input - Variable in class org.tensorflow.op.core.StatefulWhile.Inputs: A list of input tensors whose types are T.
input - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: A list of input tensors passed to the branch function.
input - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: A list of input tensors.
input - Variable in class org.tensorflow.op.core.StatelessWhile.Inputs: A list of input tensors whose types are T.
input - Variable in class org.tensorflow.op.core.StochasticCastToInt.Inputs: The operand to stochastically cast to int.
input - Variable in class org.tensorflow.op.core.StopGradient.Inputs: The input input
input - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Sum.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Tile.Inputs: Can be of any rank.
input - Variable in class org.tensorflow.op.core.TopKUnique.Inputs: The input input
input - Variable in class org.tensorflow.op.core.TopKWithUnique.Inputs: The input input
input - Variable in class org.tensorflow.op.core.VariableShape.Inputs: The input input
input - Variable in class org.tensorflow.op.debugging.DebugGradientIdentity.Inputs: The input input
input - Variable in class org.tensorflow.op.debugging.DebugGradientRefIdentity.Inputs: The input input
input - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Input tensor, non-Reference type
input - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: Input tensor, non-Reference type.
input - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: Input tensor, to be summarized by the op.
input - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The input input
input - Variable in class org.tensorflow.op.distribute.NcclBroadcast.Inputs: The input input
input - Variable in class org.tensorflow.op.distribute.NcclReduce.Inputs: The input input
input - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: The input input
input - Variable in class org.tensorflow.op.dtypes.ToBool.Inputs: The input input
input - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: A 4-D float tensor of shape [batch_size, height, width, channels].
input - Variable in class org.tensorflow.op.io.DecodeBase64.Inputs: Base64 strings to decode.
input - Variable in class org.tensorflow.op.io.EncodeBase64.Inputs: Strings to be encoded.
input - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: Rank k tensor.
input - Variable in class org.tensorflow.op.linalg.BatchCholesky.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixDeterminant.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixDiagPart.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixInverse.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixSetDiag.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchSvd.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.Cholesky.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.Det.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.Eig.Inputs: Tensor input of shape [N, N].
input - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.linalg.Inv.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.LogMatrixDeterminant.Inputs: Shape is [N, M, M].
input - Variable in class org.tensorflow.op.linalg.Lu.Inputs: A tensor of shape [..., M, M] whose inner-most 2 dimensions form matrices of size [M, M].
input - Variable in class org.tensorflow.op.linalg.MatrixDiagPart.Inputs: Rank r tensor where r >= 2.
input - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: Rank r tensor where r >= 2.
input - Variable in class org.tensorflow.op.linalg.MatrixExponential.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.MatrixLogarithm.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: Rank r+1, where r >= 1.
input - Variable in class org.tensorflow.op.linalg.Qr.Inputs: A tensor of shape [..., M, N] whose inner-most 2 dimensions form matrices of size [M, N].
input - Variable in class org.tensorflow.op.linalg.SelfAdjointEig.Inputs: Tensor input of shape [N, N].
input - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD.Inputs: A CSRSparseMatrix.
input - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky.Inputs: A CSRSparseMatrix.
input - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Inputs: A CSRSparseMatrix.
input - Variable in class org.tensorflow.op.linalg.Sqrtm.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.Svd.Inputs: A tensor of shape [..., M, N] whose inner-most 2 dimensions form matrices of size [M, N].
input - Variable in class org.tensorflow.op.linalg.TensorDiagPart.Inputs: Rank k tensor where k is even and not zero.
input - Variable in class org.tensorflow.op.math.Angle.Inputs: The input input
input - Variable in class org.tensorflow.op.math.ArgMax.Inputs: The input input
input - Variable in class org.tensorflow.op.math.ArgMin.Inputs: The input input
input - Variable in class org.tensorflow.op.math.Conj.Inputs: The input input
input - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: 1D or 2D int Tensor.
input - Variable in class org.tensorflow.op.math.Imag.Inputs: The input input
input - Variable in class org.tensorflow.op.math.Mean.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.math.Real.Inputs: The input input
input - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: Shape [batch, depth, rows, cols, channels] tensor to pool over.
input - Variable in class org.tensorflow.op.nn.Conv.Inputs: Tensor of type T and shape batch_shape + spatial_shape + [in_channels] in the case that channels_last_format = true or shape batch_shape + [in_channels] + spatial_shape if channels_last_format = false. spatial_shape is N-dimensional with N=2 or N=3.
input - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: A 4-D tensor.
input - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: Shape [batch, in_depth, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: Shape [batch, depth, rows, cols, in_channels].
input - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.DepthToSpace.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: 4-D with shape based on data_format.
input - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: 4-D with shape [batch, in_height, in_width, depth].
input - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 4-D with shape [batch, in_height, in_width, depth].
input - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 4-D with shape [batch, in_height, in_width, depth].
input - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.IsotonicRegression.Inputs: A (batch_size, dim)-tensor holding a batch of inputs.
input - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: 4-D.
input - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: 4-D input to pool over.
input - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: Shape [batch, depth, rows, cols, channels] tensor to pool over.
input - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The original input.
input - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The original input.
input - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: 4-D with shape [batch, height, width, channels].
input - Variable in class org.tensorflow.op.nn.NthElement.Inputs: 1-D or higher with last dimension at least n+1.
input - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: 4-D with shape [batch, height, width, channels].
input - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The 4D (batch x rows x cols x depth) Tensor to MaxReduce over.
input - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: 4-D with shape [batch, height, width, depth].
input - Variable in class org.tensorflow.op.nn.SpaceToDepth.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.TopK.Inputs: 1-D or higher with last dimension at least k.
input - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: Tensor to quantize and then dequantize.
input - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.RequantizationRange.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: Must be a Tensor of Tin.
input - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: Must be a Tensor of Tin.
input - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: Must be a Tensor of Tin.
input - Variable in class org.tensorflow.op.signal.BatchFft.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchFft2d.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchFft3d.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchIfft.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchIfft2d.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchIfft3d.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.Fft.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Fft2d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Fft3d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.FftNd.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Ifft.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Ifft2d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Ifft3d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.IfftNd.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Irfft.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Irfft2d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Irfft3d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.IrfftNd.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Rfft.Inputs: A float32 tensor.
input - Variable in class org.tensorflow.op.signal.Rfft2d.Inputs: A float32 tensor.
input - Variable in class org.tensorflow.op.signal.Rfft3d.Inputs: A float32 tensor.
input - Variable in class org.tensorflow.op.signal.RfftNd.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.strings.Lower.Inputs: The input to be lower-cased.
input - Variable in class org.tensorflow.op.strings.RegexFullMatch.Inputs: A string tensor of the text to be processed.
input - Variable in class org.tensorflow.op.strings.RegexReplace.Inputs: The text to be processed.
input - Variable in class org.tensorflow.op.strings.StaticRegexFullMatch.Inputs: A string tensor of the text to be processed.
input - Variable in class org.tensorflow.op.strings.StaticRegexReplace.Inputs: The text to be processed.
input - Variable in class org.tensorflow.op.strings.StringLength.Inputs: The strings for which to compute the length for each element.
input - Variable in class org.tensorflow.op.strings.StringSplit.Inputs: 1-D string Tensor, the strings to split.
input - Variable in class org.tensorflow.op.strings.Strip.Inputs: A string Tensor of any shape.
input - Variable in class org.tensorflow.op.strings.Substr.Inputs: Tensor of strings
input - Variable in class org.tensorflow.op.strings.ToHashBucketFast.Inputs: The strings to assign a hash bucket.
input - Variable in class org.tensorflow.op.strings.ToHashBucketStrong.Inputs: The strings to assign a hash bucket.
input - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: The text to be decoded.
input - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: The text to be decoded.
input - Variable in class org.tensorflow.op.strings.UnicodeScript.Inputs: A Tensor of int32 Unicode code points.
input - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: The text to be processed.
input - Variable in class org.tensorflow.op.strings.Upper.Inputs: The input to be upper-cased.
input - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The local input to the sum.
input - Variable in class org.tensorflow.op.tpu.CrossReplicaSum.Inputs: The local input to the sum.
input - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: A tensor that will be provided using the infeed mechanism.
input - Variable in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer.Inputs: A variant tensor representing linearized output.
input - Variable in class org.tensorflow.op.tpu.OutfeedEnqueue.Inputs: A tensor that will be inserted into the outfeed queue.
input - Variable in class org.tensorflow.op.tpu.Prelinearize.Inputs: A tensor that will be linearized.
input - Variable in class org.tensorflow.op.tpu.ReplicatedOutput.Inputs: The input input
input - Variable in class org.tensorflow.op.tpu.SplitDedupData.Inputs: An XLA tuple including integer and float elements as deduplication data tuple.
input - Variable in class org.tensorflow.op.tpu.TPUReplicatedOutput.Inputs: Deprecated.

The input input
input - Variable in class org.tensorflow.op.train.PreventGradient.Inputs: any tensor.
input - Variable in class org.tensorflow.op.train.SdcaFprint.Inputs: vector of strings to compute fingerprints on.
input - Variable in class org.tensorflow.op.train.SymbolicGradient.Inputs: a list of input tensors of size N + M;
input - Variable in class org.tensorflow.op.train.TileGrad.Inputs: The input input
input - Variable in class org.tensorflow.op.xla.SplitND.Inputs: Input tensor to split across all dimensions.
input - Variable in class org.tensorflow.op.xla.XlaSendToHost.Inputs: The input input
input(int) - Method in class org.tensorflow.GraphOperation: Gets the input at the given index
input(String, Operand) - Method in class org.tensorflow.Signature.Builder: Register a tensor as an input of the function.
INPUT_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
INPUT_BATCH_DIMENSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
INPUT_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeInfo
INPUT_FEATURE_DIMENSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeDef
INPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
INPUT_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOpCreation
INPUT_PROCESSING_TIME_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
INPUT_PROCESSING_TIME_SUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
INPUT_SIGNATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
INPUT_SPATIAL_DIMENSIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
INPUT_TENSOR_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Execution
INPUT_TENSORS_AS_SHAPES_NEEDED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
INPUT_TENSORS_NEEDED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
inputA - Variable in class org.tensorflow.op.core.TensorListConcatLists.Inputs: The inputA input
inputB - Variable in class org.tensorflow.op.core.TensorListConcatLists.Inputs: The inputB input
inputBackprop() - Method in class org.tensorflow.op.nn.CudnnRNNBackprop: Gets inputBackprop.
inputBackprop() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Gets inputBackprop.
inputBytes - Variable in class org.tensorflow.op.io.DecodePaddedRaw.Inputs: Tensor of string to be decoded.
inputC - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The inputC input
inputC - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The inputC input
inputCBackprop() - Method in class org.tensorflow.op.nn.CudnnRNNBackprop: Gets inputCBackprop.
inputDataset - Variable in class org.tensorflow.op.core.GetOptions.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.AssertCardinalityDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.AssertNextDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.AssertPrevDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.DatasetCardinality.Inputs: A variant tensor representing the dataset to return cardinality for.
inputDataset - Variable in class org.tensorflow.op.data.DatasetFingerprint.Inputs: A variant tensor representing the dataset to return fingerprint for.
inputDataset - Variable in class org.tensorflow.op.data.DatasetToGraph.Inputs: A variant tensor representing the dataset to return the graph representation for.
inputDataset - Variable in class org.tensorflow.op.data.DatasetToTfRecord.Inputs: A variant tensor representing the dataset to write.
inputDataset - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: A handle to an input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.DatasetCardinality.Inputs: A variant tensor representing the dataset to return cardinality for.
inputDataset - Variable in class org.tensorflow.op.data.experimental.DatasetToTFRecord.Inputs: A variant tensor representing the dataset to write.
inputDataset - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: A handle to an input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.NonSerializableDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.SleepDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.UnbatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.UniqueDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.FilterByLastComponentDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.FinalizeDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.GlobalShuffleDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.IndexFlatMapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.LatencyStatsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.NonSerializableDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Dataset that produces a stream of arguments for the function f.
inputDataset - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.RewriteDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SleepDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ThreadPoolDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.UnbatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.UniqueDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.train.ComputeBatchSize.Inputs: The inputDataset input
inputDatasets - Variable in class org.tensorflow.op.data.ChooseFastestDataset.Inputs: The inputDatasets input
inputDatasets - Variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs: The inputDatasets input
inputDatasets - Variable in class org.tensorflow.op.data.WeightedFlatMapDataset.Inputs: The inputDatasets input
inputDatasets - Variable in class org.tensorflow.op.data.ZipDataset.Inputs: List of N variant Tensors representing datasets to be zipped together.
inputEncoding - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: Text encoding of the input strings.
inputEncoding - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: Text encoding of the input strings.
inputEncoding - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: Text encoding of the input strings.
inputGrads - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: 4-D with shape [batch, height, width, channels].
inputH - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The inputH input
inputH - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The inputH input
inputHandle - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListElementShape.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListGather.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListGetItem.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListLength.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListPopBack.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListPushBack.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListResize.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListStack.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapErase.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapHasKey.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapLookup.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapSize.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapStackKeys.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.data.UnwrapDatasetVariant.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.data.WrapDatasetVariant.Inputs: The inputHandle input
inputHandles - Variable in class org.tensorflow.op.core.TensorListPushBackBatch.Inputs: The inputHandles input
inputHBackprop() - Method in class org.tensorflow.op.nn.CudnnRNNBackprop: Gets inputHBackprop.
inputImage - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: 4-D with shape [batch, height, width, channels].
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReorder.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReshape.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: 2-D.
inputLayouts - Variable in class org.tensorflow.op.tpu.DTensorRestore.Inputs: The inputLayouts attribute
inputList(int, int) - Method in class org.tensorflow.GraphOperation: Get the input list that starts at idx and has length length
inputListLength(String) - Method in class org.tensorflow.GraphOperation
inputListLength(String) - Method in interface org.tensorflow.Operation: Returns the size of the given inputs list of Tensors for this operation.
inputMax - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The maximum value of the input.
inputMax - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The maximum value of the input tensor.
inputMax - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The maximum value of the input tensor.
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The inputMax input
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The inputMax input
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: If range_given == True, this specifies the maximum input value that needs to be represented, otherwise it is determined from the max value of the input tensor.
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The inputMax input
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The float value that the maximum quantized input value represents.
inputMax - Variable in class org.tensorflow.op.quantization.RequantizationRange.Inputs: The float value that the maximum quantized input value represents.
inputMax - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The float value that the maximum quantized input value represents.
inputMaxBackprop() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Gets inputMaxBackprop.
inputMaxes - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: The maximum scalar values for each of the input tensors.
inputMin - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The minimum value of the input.
inputMin - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The minimum value of the input tensor
inputMin - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The minimum value of the input tensor
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The inputMin input
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The inputMin input
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: If range_given == True, this specifies the minimum input value that needs to be represented, otherwise it is determined from the min value of the input tensor.
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The inputMin input
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The float value that the minimum quantized input value represents.
inputMin - Variable in class org.tensorflow.op.quantization.RequantizationRange.Inputs: The float value that the minimum quantized input value represents.
inputMin - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The float value that the minimum quantized input value represents.
inputMinBackprop() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Gets inputMinBackprop.
inputMins - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: The minimum scalar values for each of the input tensors.
inputMode - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The inputMode attribute
inputMode - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The inputMode attribute
inputMode - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The inputMode attribute
inputMode - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The inputMode attribute
inputMode - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The inputMode attribute
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the inputMode option.
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the inputMode option.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the inputMode option.
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the inputMode option.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the inputMode option.
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the inputMode option.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the inputMode option.
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the inputMode option.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the inputMode option.
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the inputMode option.
inputNames() - Method in class org.tensorflow.Signature: Returns the names of the inputs in this signature
inputOrder - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: String specifying the tensor type for each input.
inputQuantizationAxis - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The quantization axis that was used when quantizing original data that input represents.
inputQuantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformRequantize: Sets the inputQuantizationAxis option.
inputQuantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformRequantize.Options: Sets the inputQuantizationAxis option.
inputQuantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The quantization max value that was used when quantizing original data that input represents.
inputQuantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The quantization min value that was used when quantizing original data that input represents.
inputQuantMode - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: Input data quantization mode.
inputQuantMode - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: Input data quantization mode.
inputQuantMode - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: Input data quantization mode.
inputQuantMode - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The inputQuantMode attribute
inputQuantMode - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The inputQuantMode attribute
inputQuantMode(String) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Sets the inputQuantMode option.
inputQuantMode(String) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Options: Sets the inputQuantMode option.
inputQuantMode(String) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Sets the inputQuantMode option.
inputQuantMode(String) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Options: Sets the inputQuantMode option.
inputQuantMode(String) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Sets the inputQuantMode option.
inputQuantMode(String) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Options: Sets the inputQuantMode option.
inputQuantMode(String) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Sets the inputQuantMode option.
inputQuantMode(String) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Options: Sets the inputQuantMode option.
inputQuantMode(String) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Sets the inputQuantMode option.
inputQuantMode(String) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Options: Sets the inputQuantMode option.
inputRaggedRank - Variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs: The ragged rank of each encoded RaggedTensor component in the input.
inputs - Variable in class org.tensorflow.op.core.Merge.Inputs: The input tensors, exactly one of which will become available.
inputs - Variable in class org.tensorflow.op.core.MlirPassthroughOp.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.core.RefMerge.Inputs: The input tensors, exactly one of which will become available.
inputs - Variable in class org.tensorflow.op.core.RefSelect.Inputs: A list of ref tensors, one of which will be forwarded to output.
inputs - Variable in class org.tensorflow.op.data.SnapshotNestedDatasetReader.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.data.WindowOp.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.linalg.Einsum.Inputs: List of 1 or 2 Tensors.
inputs - Variable in class org.tensorflow.op.math.AccumulateN.Inputs: A list of Tensor objects, each with same shape and type.
inputs - Variable in class org.tensorflow.op.math.AddN.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: 3-D, shape: (max_time x batch_size x num_classes), the logits.
inputs - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: 3-D, shape: (max_time x batch_size x num_classes), the logits.
inputs - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: 3-D, shape: (max_time x batch_size x num_classes), the logits.
inputs - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: 3-D, shape: (max_time x batch_size x num_classes), the logits.
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: Values passed as inputs to the FakeQuantWithMinMaxArgs operation.
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: Values passed as inputs to the FakeQuantWithMinMaxVars operation. min, max: Quantization interval, scalar floats.
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: Values passed as inputs to the FakeQuantWithMinMaxVars operation, shape same as gradients. min, max: Quantization interval, floats of shape [d].
inputs - Variable in class org.tensorflow.op.strings.Join.Inputs: A list of string tensors.
inputs - Variable in class org.tensorflow.op.strings.ReduceJoin.Inputs: The input to be joined.
inputs - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: The list of tensors to format into the placeholder string.
inputs - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.summary.MergeSummary.Inputs: Can be of any shape.
inputs - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: A list of tensors that will be provided using the infeed mechanism.
inputs - Variable in class org.tensorflow.op.tpu.OutfeedEnqueueTuple.Inputs: A list of tensors that will be inserted into the outfeed queue as an XLA tuple.
inputs - Variable in class org.tensorflow.op.tpu.PartitionedInput.Inputs: A list of partitioned inputs which must have the same shape.
inputs - Variable in class org.tensorflow.op.tpu.PartitionedOutput.Inputs: A tensor which represents the full shape of partitioned tensors.
inputs - Variable in class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs: A list of tensors that will be provided using the infeed mechanism.
inputs - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Inputs: A TensorList of gradients with which to update embedding tables.
inputs - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The inputs input
inputs - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: Input tensor slices in row-major order to merge across all dimensions.
inputs - Variable in class org.tensorflow.op.xla.ConcatND.Inputs: Input tensor slices in row-major order to merge across all dimensions.
inputs - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: A list of tensors that will be sent to the host.
inputs() - Method in class org.tensorflow.GraphOperation: Get the op's inputs, not including control inputs.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.audio.AudioSpectrogram.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.audio.DecodeWav.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.audio.EncodeWav.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.audio.Mfcc.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.BitwiseAnd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.BitwiseOr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.BitwiseXor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.Invert.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.LeftShift.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.RightShift.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.cluster.KMC2ChainInitialization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveAllToAll.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveAssignGroup.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveBcastSend.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectivePermute.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveReduce.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Abort.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.All.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AnonymousHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AnonymousMutableHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Any.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ApproxTopK.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssertThat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Assign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignAddVariableOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignSubVariableOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignVariableOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Barrier.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierClose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierIncompleteSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierInsertMany.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierReadySize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierTakeMany.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Batch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BatchFunction.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BatchToSpace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BatchToSpaceNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Bitcast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BroadcastDynamicShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BroadcastGradientArgs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BroadcastTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Bucketize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CheckPinned.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ClipByValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CompositeTensorVariantFromComponents.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CompositeTensorVariantToComponents.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Concat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ConcatOffset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ConsumeMutexLock.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ControlTrigger.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Copy.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CopyHost.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CopyToMesh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CopyToMeshGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CountUpTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DecodeProto.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DeepCopy.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DeleteSessionTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DestroyResourceOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DestroyTemporaryVariable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DeviceIndex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DummyMemoryCache.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DynamicPartition.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DynamicStitch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EditDistance.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Empty.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EmptyTensorList.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EmptyTensorMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EncodeProto.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EnsureShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Enter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Exit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ExpandDims.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ExtractVolumePatches.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.FakeParam.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.FileSystemSetConfiguration.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Fill.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Fingerprint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.For.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Gather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GatherNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GetElementAtIndex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GetOptions.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GetSessionHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GetSessionTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GuaranteeConst.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.HashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.HistogramFixedWidth.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.HostConst.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Identity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.IdentityN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ImmutableConst.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InitializeTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InplaceAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InplaceSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InplaceUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.IsVariableInitialized.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.KthOrderStatistic.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LinSpace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableExport.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableFind.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableImport.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableInsert.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableRemove.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LoopCond.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LowerBound.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MakeUnique.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapClear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapDefun.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapIncompleteSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapPeek.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapStage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapUnstage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapUnstageNoKey.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Max.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Merge.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Min.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MirrorPad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MirrorPadGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MlirPassthroughOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MutableDenseHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MutableHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Mutex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MutexLock.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NcclBroadcast.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NcclReduce.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NextIteration.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NoOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OneHot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OnesLike.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapClear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapPeek.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapStage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapUnstage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Pad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ParallelConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ParallelDynamicStitch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.PartitionedCall.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Placeholder.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.PlaceholderWithDefault.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Print.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Prod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.QuantizedReshape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RandomIndexShuffle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Range.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Rank.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReadVariableOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Recv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceAll.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceAny.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceProd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefEnter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefExit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefIdentity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefMerge.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefNextIteration.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefSelect.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefSwitch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Relayout.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RelayoutLike.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RemoteCall.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Reshape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceCountUpTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceGatherNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Reverse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReverseSequence.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Roll.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Select.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Send.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SetDiff1d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SetSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Shape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ShapeN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Size.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Skipgram.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Slice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Snapshot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SpaceToBatchNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Split.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SplitV.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Squeeze.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Stack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StackClose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StackCreate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StackPop.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StackPush.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Stage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StageClear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StagePeek.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StageSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatefulCase.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatefulIf.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatefulPartitionedCall.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatefulWhile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatelessCase.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatelessIf.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatelessWhile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StochasticCastToInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StopGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StridedSlice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StridedSliceAssign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StridedSliceGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Sum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SwitchCond.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SyncDevice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TemporaryVariable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArray.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayClose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayPack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayRead.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayScatter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArraySize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArraySplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayUnpack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayWrite.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListConcatLists.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListElementShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListFromTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListGetItem.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListLength.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListPopBack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListPushBack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListPushBackBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListReserve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListResize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListScatter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListSetItem.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListSplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListStack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapErase.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapHasKey.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapInsert.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapLookup.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapStackKeys.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Tile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Timestamp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TopKUnique.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TopKWithUnique.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Unbatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UnbatchGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Unique.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UniqueWithCounts.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UnravelIndex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Unstack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Unstage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UpperBound.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.VarHandleOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Variable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.VariableShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.VarIsInitializedOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Where.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ZerosLike.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AnonymousIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AnonymousMemoryCache.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AnonymousMultiDeviceIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AssertCardinalityDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AssertNextDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AssertPrevDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AutoShardDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.BatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.CacheDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ChooseFastestDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.CompressElement.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ConcatenateDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.CSVDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DataServiceDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetCardinality.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetFingerprint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetFromGraph.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetToGraph.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetToSingleElement.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetToTfRecord.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DeleteIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DeleteMemoryCache.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DeleteMultiDeviceIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DeserializeIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DummyIterationCounter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.CSVDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.DatasetCardinality.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.DatasetToTFRecord.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.IteratorGetDevice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.LmdbDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.MapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.MatchingFilesDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.NonSerializableDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.RandomDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.RebatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ScanDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.SleepDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.SqlDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.StatsAggregatorSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.UnbatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.UniqueDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FilterByLastComponentDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FilterDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FinalizeDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FlatMapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.GeneratorDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.GlobalShuffleDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.GroupByReducerDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.GroupByWindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IndexFlatMapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.InitializeTableFromDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.InterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.Iterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorFromStringHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetDevice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetModelProto.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetNext.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetNextAsOptional.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetNextSync.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorToStringHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LatencyStatsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LeakyReluGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ListDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ListSnapshotChunksDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LMDBDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LoadDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MakeIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MapAndBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MatchingFilesDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ModelDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorInit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.NonSerializableDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OneShotIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptimizeDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionalFromValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionalGetValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionalHasValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionalNone.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.PaddedBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParallelBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParallelFilterDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParallelMapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParseExampleDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.PrefetchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RandomDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RangeDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RebatchDatasetV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ReduceDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RegisterDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RepeatDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RewriteDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SamplingDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ScanDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SerializeIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ShardDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ShuffleDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SkipDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SleepDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SlidingWindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SnapshotChunkDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SnapshotDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SnapshotDatasetReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SnapshotNestedDatasetReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SqlDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.StatsAggregatorHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TakeDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TakeWhileDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TensorDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TensorSliceDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TextLineDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TfRecordDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ThreadPoolDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ThreadPoolHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.UnbatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.UncompressElement.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.UniqueDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.UnwrapDatasetVariant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.WeightedFlatMapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.WindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.WindowOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.WrapDatasetVariant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ZipDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.CheckNumerics.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugGradientIdentity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugGradientRefIdentity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugIdentity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugNanCount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.distribute.NcclAllReduce.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.distribute.NcclBroadcast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.distribute.NcclReduce.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.dtypes.AsString.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.dtypes.Cast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.dtypes.Complex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.dtypes.ToBool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.AdjustContrast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.AdjustHue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.AdjustSaturation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.CropAndResize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.CropAndResizeGradImage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeBmp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeGif.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeImage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeJpeg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodePng.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DrawBoundingBoxes.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.EncodeJpeg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.EncodeJpegVariableQuality.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.EncodePng.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ExtractGlimpse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ExtractImagePatches.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ExtractJpegShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.HsvToRgb.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.NearestNeighbors.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.NonMaxSuppression.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.RandomCrop.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeArea.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeBicubic.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeBicubicGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeBilinear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeBilinearGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.RgbToHsv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ScaleAndTranslate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeBase64.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeCompressed.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeCsv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeJsonExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodePaddedRaw.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeRaw.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DeserializeManySparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DisableCopyOnRead.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.EncodeBase64.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.FakeQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.FifoQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.FixedLengthRecordReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.IdentityReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.LmdbReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.MatchingFiles.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.PaddingFifoQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseSequenceExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseSingleExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.PriorityQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueClose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueDequeue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueDequeueMany.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueDequeueUpTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueEnqueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueEnqueueMany.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueIsClosed.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.RandomShuffleQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderNumRecordsProduced.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderRead.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderReadUpTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderReset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderRestoreState.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderSerializeState.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReadFile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.SerializeManySparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.SerializeSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.SerializeTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ShardedFilename.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ShardedFilespec.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.TextLineReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.TfRecordReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.WholeFileReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.WriteFile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BandPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchCholesky.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchCholeskyGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDeterminant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDiagPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixInverse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSetDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchSelfAdjointEig.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchSvd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Cholesky.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.CholeskyGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.ConjugateTranspose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Cross.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Det.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Eig.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Einsum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.EuclideanNorm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Inv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.LogMatrixDeterminant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Lu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagV3.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixExponential.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixLogarithm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixSetDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixSolveLs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Qr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.SelfAdjointEig.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Solve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixZeros.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Sqrtm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Svd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TensorDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TensorDiagPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Transpose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TriangularSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TridiagonalSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Abs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.AccumulateN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Acos.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Acosh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Add.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.AddN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Angle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ApproximateEqual.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ArgMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ArgMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Asin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Asinh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Atan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Atan2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Atanh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.BesselI0.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.BesselI0e.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.BesselI1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.BesselI1e.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Betainc.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Bincount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Ceil.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ComplexAbs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Conj.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Cos.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Cosh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Cumprod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Cumsum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.CumulativeLogsumexp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.DenseBincount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Digamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Div.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.DivNoNan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Equal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Erf.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Erfc.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.erfinv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Exp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Expm1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Fact.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Floor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.FloorDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.FloorMod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Greater.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.GreaterEqual.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Igamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Igammac.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.IgammaGradA.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Imag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.InvertPermutation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.IsFinite.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.IsInf.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.IsNan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Less.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.LessEqual.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Lgamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Log.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Log1p.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.LogicalAnd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.LogicalNot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.LogicalOr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Maximum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Mean.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Minimum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Mod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Mul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.MulNoNan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Ndtri.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Neg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.NextAfter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.NotEqual.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Polygamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.PopulationCount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Pow.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.QuantizedAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.QuantizedMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Real.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.RealDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Reciprocal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ReciprocalGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.RequantizePerChannel.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Rint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Round.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Rsqrt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.RsqrtGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentMean.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentProd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sigmoid.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SigmoidGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sinh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SobolSample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Softplus.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SoftplusGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselJ0.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselJ1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselK0.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselK0e.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselK1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselK1e.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselY0.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselY1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.Dawsn.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.Expint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.FresnelCos.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.FresnelSin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.Spence.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sqrt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SqrtGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Square.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SquaredDifference.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Tan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Tanh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.TanhGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.TruncateDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.TruncateMod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UniformQuantizedAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentProd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Xdivy.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Xlog1py.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Xlogy.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Zeta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.AvgPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.AvgPool3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.AvgPool3dGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.AvgPoolGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BiasAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BiasAddGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BlockLSTM.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BlockLSTMGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CtcLoss.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CTCLossV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRNN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DataFormatDimMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DataFormatVecPermute.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DepthToSpace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Dilation2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Elu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.EluGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FractionalAvgPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FractionalMaxPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FusedBatchNorm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FusedPadConv2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.GRUBlockCell.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.InTopK.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.InvGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.IsotonicRegression.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.L2Loss.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LeakyRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LocalResponseNormalization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LogSoftmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LSTMBlockCell.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPool3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPool3dGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.NthElement.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedAvgPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedMaxPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedRelu6.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedReluX.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Relu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Relu6.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Relu6Grad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.ReluGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Selu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SeluGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Softmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Softsign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SoftsignGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SpaceToBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SpaceToDepth.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.TopK.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.Dequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.Quantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizedConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.RequantizationRange.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.Requantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.UniformDequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.UniformQuantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.UniformRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedBincount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedCross.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedFillEmptyRows.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedRange.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.AllCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.AnonymousRandomSeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.AnonymousSeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.DeleteRandomSeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.DeleteSeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.DummySeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.experimental.StatelessShuffle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.Multinomial.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.NonDeterministicInts.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomGamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomGammaGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomPoisson.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomShuffle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomStandardNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomUniform.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomUniformInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RecordInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RngReadAndSkip.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RngSkip.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulRandomBinomial.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulStandardNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulUniform.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulUniformFullInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulUniformInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessMultinomial.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomBinomial.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomGamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetAlg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetKeyCounter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomPoisson.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniform.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.TruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.UniformCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchFft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchFft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchFft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchIfft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchIfft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchIfft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Fft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Fft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Fft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.FftNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Ifft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Ifft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Ifft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.IfftNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Irfft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Irfft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Irfft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.IrfftNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Rfft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Rfft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Rfft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.RfftNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.DeserializeSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseAddGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseBincount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseCross.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseCrossHashed.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReduceMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReduceSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReorder.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReshape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMean.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSlice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSliceGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSoftmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseToDense.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Join.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Lower.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ReduceJoin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.RegexFullMatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.RegexReplace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StaticRegexFullMatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StaticRegexReplace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StringFormat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StringLength.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StringNGrams.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StringSplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Strip.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Substr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ToHashBucket.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ToHashBucketFast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ToHashBucketStrong.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ToNumber.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeDecode.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeEncode.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeScript.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeTranscode.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Upper.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.AudioSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.CloseSummaryWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.FlushSummaryWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.HistogramSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.ImageSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.ImportEvent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.MergeSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.ScalarSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.StatsAggregatorSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.SummaryWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.TensorSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteAudioSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteGraphSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteHistogramSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteImageSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteRawProtoSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteScalarSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.AllToAll.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.CompilationResult.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.Compile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.CompileSucceededAssert.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ComputeDedupDataSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ComputeDedupDataTupleMask.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbedding.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConnectTPUEmbeddingHosts.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConvertToCooTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.CrossReplicaSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.DTensorRestore.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EmbeddingActivations.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.Execute.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.FinalizeTPUEmbedding.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.GetTpuTaskId.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.GlobalIterId.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedDequeue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedDequeueTuple.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.MergeDedupData.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OrdinalSelector.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueTuple.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueTupleV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedEnqueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedEnqueueTuple.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.PartitionedCall.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.PartitionedInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.PartitionedOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.Prelinearize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ReplicatedInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ReplicatedOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ReplicateMetadata.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ShutdownDistributedTPU.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ShutdownTPUSystem.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.SplitDedupData.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUCompilationResult.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUCopyWithDynamicShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TpuHandleToProtoKey.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUReplicatedOutput.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUReshardVariables.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPURoundRobin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.UpdateTaskIdAndGlobalCoreArray.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.WorkerHeartbeat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.AccumulatorNumAccumulated.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.AccumulatorSetGlobalStep.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.AccumulatorTakeGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdadelta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdagradDa.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdagradV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdam.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdaMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAddSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyPowerSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.BatchMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ComputeBatchSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ConditionalAccumulator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.DistributedSave.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.GenerateVocabRemapping.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.MergeV2Checkpoints.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.NegTrain.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.PreventGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorTakeGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdam.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAddSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.Restore.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.RestoreSlice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.Save.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SaveSlices.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SdcaFprint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SdcaOptimizer.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SdcaShrinkL1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyAdadelta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SymbolicGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.TileGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.AssignVariableConcatND.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.ConcatND.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.ReadVariableSplitND.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.SplitND.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaHostCompute.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaRecvFromHost.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSendToHost.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreSgd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs
INPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
INPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpInfo
INPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SignatureDef
inputScales - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The float value(s) used as scale(s) when quantizing original data that input represents.
inputsClass() - Element in annotation type org.tensorflow.op.annotation.OpMetadata: The typesafe inputs class (which should be annotated with OpInputsMetadata).
inputShape - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReorder.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReshape.Inputs: 1-D.
inputShapes - Variable in class org.tensorflow.op.tpu.DTensorRestore.Inputs: The inputShapes attribute
inputSize - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The inputSize input
inputSize - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The inputSize input
inputSize - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The inputSize input
inputSize - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The inputSize attribute
inputSize - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The inputSize attribute
inputSize - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The inputSize attribute
inputSizes - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: An integer vector representing the shape of input, where input is a 4-D [batch, height, width, channels] tensor.
inputSizes - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: An integer vector representing the tensor shape of input, where input is a 5-D [batch, depth, rows, cols, in_channels] tensor.
inputSizes - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: An integer vector representing the shape of input, based on data_format.
inputSplits - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: A 1D tensor specifying how the unicode codepoints should be split into strings.
inputStart - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: 1-D. tensor represents the start of the slice.
inputTypes - Variable in class org.tensorflow.op.data.CompressElement.Inputs: The inputTypes attribute
inputValues - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.sparse.SparseReorder.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: A 1D tensor containing the unicode codepoints that should be encoded.
inputZeroPoints - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The int32 value(s) used as zero_point(s) when quantizing original data that input represents.
instanceKey - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The instanceKey input
instanceKey - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The instanceKey input
instanceKey - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The instanceKey input
instanceKey - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The instanceKey input
INSTRUMENTED_GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedGraph
INSTRUMENTED_OPS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedGraph
INT_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
INT64_LIST - Enum constant in enum org.tensorflow.proto.CollectionDef.KindCase
INT64_LIST - Enum constant in enum org.tensorflow.proto.Feature.KindCase
INT64_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CollectionDef
INT64_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Feature
INT64_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
INT64_VALUE - Enum constant in enum org.tensorflow.proto.profiler.Xplane.XStat.ValueCase
INT64_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
INT64_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XStat
INT64_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
Int64List - Class in org.tensorflow.proto: Protobuf type tensorflow.Int64List
Int64List.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.Int64List
Int64ListOrBuilder - Interface in org.tensorflow.proto
integerTensor - Variable in class org.tensorflow.op.tpu.MergeDedupData.Inputs: A 1-D integer tensor, includes integer elements of deduplication data tuple.
integerTensor() - Method in class org.tensorflow.op.tpu.SplitDedupData: Gets integerTensor.
integerType - Variable in class org.tensorflow.op.tpu.MergeDedupData.Inputs: integer_tensor type.
integerType - Variable in class org.tensorflow.op.tpu.SplitDedupData.Inputs: integer_tensor type.
inTensors - Variable in class org.tensorflow.op.core.Batch.Inputs: The inTensors input
inTensors - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The tensors to be batched.
INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
INTER_OP_THREAD_POOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunOptions
INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
InterconnectLink - Class in org.tensorflow.proto: Protobuf type tensorflow.InterconnectLink
InterconnectLink.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.InterconnectLink
InterconnectLinkOrBuilder - Interface in org.tensorflow.proto
INTERLEAVE_MANY - Enum constant in enum org.tensorflow.proto.data.model.Model.NodeClass: INTERLEAVE_MANY = 1;
INTERLEAVE_MANY_VALUE - Static variable in enum org.tensorflow.proto.data.model.Model.NodeClass: INTERLEAVE_MANY = 1;
interleaveDataset(Operand, Iterable, Operand, Operand, ConcreteFunction, List, List, InterleaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
InterleaveDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
InterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.InterleaveDataset
InterleaveDataset.Inputs - Class in org.tensorflow.op.data
InterleaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for InterleaveDataset
INTERNAL - Enum constant in enum org.tensorflow.proto.error.Code: Internal errors.
INTERNAL_ERROR - Enum constant in enum org.tensorflow.proto.WorkerHealth: INTERNAL_ERROR = 2;
INTERNAL_ERROR_VALUE - Static variable in enum org.tensorflow.proto.WorkerHealth: INTERNAL_ERROR = 2;
INTERNAL_FRAGMENTATION_FRACTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
INTERNAL_VALUE - Static variable in enum org.tensorflow.proto.error.Code: Internal errors.
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AllocationDescription.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AllocationDescription
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AllocationRecord.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AllocationRecord
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AllocatorMemoryUsed
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ApiDef.Arg
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ApiDef.Attr
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ApiDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ApiDef.Endpoint
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ApiDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ApiDefs.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ApiDefs
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AssetFileDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AssetFileDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AttrValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AttrValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AttrValue.ListValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AutoParallelOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.AvailableDeviceInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BenchmarkEntries
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BenchmarkEntry
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BuildConfiguration.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BuildConfiguration
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BundleEntryProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BundleEntryProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BundleHeaderProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BytesList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.BytesList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CallableOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CallableOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ClusterDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ClusterDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ClusterDeviceFilters
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CodeLocation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CodeLocation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CollectionDef.AnyList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CollectionDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CollectionDef.BytesList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CollectionDef.FloatList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CollectionDef.Int64List
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CollectionDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CollectionDef.NodeList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CommitId.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CommitId
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CondContextDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CondContextDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ConfigProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ConfigProto.Experimental
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ConfigProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ControlFlowContextDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CostGraphDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CostGraphDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CostGraphDef.Node
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CPUInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.CPUInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.Model.ModelProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebugEvent.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebugEvent
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebuggedDevice.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebuggedDevice
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebuggedGraph.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebuggedGraph
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebuggedSourceFile
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebuggedSourceFiles
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebugMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebugMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebugOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebugOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DebugTensorWatch
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DeviceAttributes.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DeviceAttributes
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DeviceLocality.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DeviceLocality
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DeviceStepStats.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.DeviceStepStats
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.EntryValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.EntryValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Event.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Event
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Example.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Example
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ExampleParserConfiguration
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Execution.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Execution
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Feature.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Feature
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FeatureConfiguration
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FeatureList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FeatureList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FeatureLists.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FeatureLists
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Features.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Features
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FingerprintDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FingerprintDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FixedLenFeatureProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FloatList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FloatList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FullTypeDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FullTypeDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FunctionDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FunctionDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.FunctionDefLibrary
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GPUInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GPUInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GPUOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GPUOptions.Experimental
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GPUOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GradientDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GradientDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphDebugInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphExecutionTrace
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphOpCreation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphOpCreation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferNodeInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferNodeInput
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.HistogramProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.HistogramProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Int64List.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Int64List
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.InterconnectLink.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.InterconnectLink
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.JobDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.JobDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.JobDeviceFilters
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.KernelDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.KernelDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.KernelList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.KernelList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.LocalLinks.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.LocalLinks
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.LogMessage: Deprecated.
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MachineConfiguration.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MachineConfiguration
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryLogRawAllocation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryLogStep.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryLogStep
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryLogTensorOutput
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryStats.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MemoryStats
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MetaGraphDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MetaGraphDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MetricEntry.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.MetricEntry
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.NameAttrList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.NameAttrList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.NamedTensorProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.NamedTensorProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.NodeDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.NodeDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.NodeExecStats.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.NodeExecStats
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.NodeOutput.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.NodeOutput
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpDef.ArgDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpDef.AttrDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpDeprecation.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpDeprecation
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OptimizerOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.OptimizerOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.PlatformInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.PlatformInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XLine
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XStat
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.QueueRunnerDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ReaderBaseState.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ReaderBaseState
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RegisteredGradient.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RegisteredGradient
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RequestedExitCode.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RequestedExitCode
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ResourceHandleProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RewriterConfig.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RewriterConfig
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RunConfiguration.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RunConfiguration
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RunMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RunMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RunOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RunOptions.Experimental
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.RunOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedModel.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedModel
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedSlice.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedSlice
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedSliceMeta
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedTensorSliceMeta
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SavedTensorSlices
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SaverDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SaverDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SaveSliceInfoDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ScopedAllocatorOptions
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SequenceExample.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SequenceExample
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SerializedDType.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SerializedDType
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ServerDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ServerDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SessionLog.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SessionLog
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SessionMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SessionMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SignatureDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SignatureDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SourceFile.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SourceFile
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SourceMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SourceMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.StackFrameWithId.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.StackFrameWithId
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.StatusProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.StatusProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.StepStats.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.StepStats
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.DictValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.DictValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.ListValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.ListValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.NamedTupleValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.NoneValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.PairValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.PairValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.StructuredValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.TensorSpecProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.TupleValue
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Struct.TypeSpecProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Summary.Audio.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Summary.Audio
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Summary.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Summary.Image.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Summary.Image
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Summary
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Summary.Value.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.Summary.Value
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SummaryDescription.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SummaryDescription
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SummaryMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SummaryMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TaggedRunMetadata
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TaskDeviceFilters
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorConnection.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorConnection
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorDescription.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorDescription
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorInfo.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorInfo.CooSparse
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorInfo
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorShapeProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorShapeProto.Dim
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorShapeProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorSliceProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorSliceProto.Extent
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TensorSliceProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TestResults.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TestResults
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ThreadPoolOptionProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ValuesDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.ValuesDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.VariableDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.VariableDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.VariantTensorDataProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.VarLenFeatureProto
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.VerifierConfig.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.VerifierConfig
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.VersionDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.VersionDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.WatchdogConfig.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.WatchdogConfig
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.WhileContextDef.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.WhileContextDef
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
internalGetFieldAccessorTable() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
internalGetMapField(int) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.BenchmarkEntry
internalGetMapField(int) - Method in class org.tensorflow.proto.CallableOptions.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.CallableOptions
internalGetMapField(int) - Method in class org.tensorflow.proto.ConfigProto.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.ConfigProto
internalGetMapField(int) - Method in class org.tensorflow.proto.CPUInfo.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.CPUInfo
internalGetMapField(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto
internalGetMapField(int) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
internalGetMapField(int) - Method in class org.tensorflow.proto.DeviceStepStats.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.DeviceStepStats
internalGetMapField(int) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
internalGetMapField(int) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.ExampleParserConfiguration
internalGetMapField(int) - Method in class org.tensorflow.proto.FeatureLists.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.FeatureLists
internalGetMapField(int) - Method in class org.tensorflow.proto.Features.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.Features
internalGetMapField(int) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
internalGetMapField(int) - Method in class org.tensorflow.proto.FunctionDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.FunctionDef
internalGetMapField(int) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.GraphDebugInfo
internalGetMapField(int) - Method in class org.tensorflow.proto.JobDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.JobDef
internalGetMapField(int) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.JobDeviceFilters
internalGetMapField(int) - Method in class org.tensorflow.proto.MetaGraphDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.MetaGraphDef
internalGetMapField(int) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
internalGetMapField(int) - Method in class org.tensorflow.proto.NameAttrList.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.NameAttrList
internalGetMapField(int) - Method in class org.tensorflow.proto.NodeDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.NodeDef
internalGetMapField(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
internalGetMapField(int) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
internalGetMapField(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
internalGetMapField(int) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
internalGetMapField(int) - Method in class org.tensorflow.proto.RunConfiguration.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.RunConfiguration
internalGetMapField(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
internalGetMapField(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
internalGetMapField(int) - Method in class org.tensorflow.proto.SignatureDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.SignatureDef
internalGetMapField(int) - Method in class org.tensorflow.proto.Struct.DictValue.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.Struct.DictValue
internalGetMapField(int) - Method in class org.tensorflow.proto.ValuesDef.Builder
internalGetMapField(int) - Method in class org.tensorflow.proto.ValuesDef
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.CallableOptions.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.ConfigProto.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.CPUInfo.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.DeviceStepStats.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.FeatureLists.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.Features.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.FunctionDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.JobDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.MetaGraphDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.NameAttrList.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.NodeDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.RunConfiguration.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.SignatureDef.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.Struct.DictValue.Builder
internalGetMutableMapField(int) - Method in class org.tensorflow.proto.ValuesDef.Builder
internalGetValueMap() - Static method in enum org.tensorflow.proto.ApiDef.Visibility
internalGetValueMap() - Static method in enum org.tensorflow.proto.BundleHeaderProto.Endianness
internalGetValueMap() - Static method in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout
internalGetValueMap() - Static method in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.DataService.DeploymentMode
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm
internalGetValueMap() - Static method in enum org.tensorflow.proto.data.model.Model.NodeClass
internalGetValueMap() - Static method in enum org.tensorflow.proto.DataClass
internalGetValueMap() - Static method in enum org.tensorflow.proto.DataType
internalGetValueMap() - Static method in enum org.tensorflow.proto.error.Code
internalGetValueMap() - Static method in enum org.tensorflow.proto.FullTypeId
internalGetValueMap() - Static method in enum org.tensorflow.proto.GraphTransferInfo.Destination
internalGetValueMap() - Static method in enum org.tensorflow.proto.LogMessage.Level: Deprecated.
internalGetValueMap() - Static method in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource
internalGetValueMap() - Static method in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel
internalGetValueMap() - Static method in enum org.tensorflow.proto.OptimizerOptions.Level
internalGetValueMap() - Static method in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType
internalGetValueMap() - Static method in enum org.tensorflow.proto.RewriterConfig.CpuLayout
internalGetValueMap() - Static method in enum org.tensorflow.proto.RewriterConfig.MemOptType
internalGetValueMap() - Static method in enum org.tensorflow.proto.RewriterConfig.NumIterationsType
internalGetValueMap() - Static method in enum org.tensorflow.proto.RewriterConfig.Toggle
internalGetValueMap() - Static method in enum org.tensorflow.proto.RunOptions.TraceLevel
internalGetValueMap() - Static method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile
internalGetValueMap() - Static method in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion
internalGetValueMap() - Static method in enum org.tensorflow.proto.SessionLog.SessionStatus
internalGetValueMap() - Static method in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass
internalGetValueMap() - Static method in enum org.tensorflow.proto.TensorDebugMode
internalGetValueMap() - Static method in enum org.tensorflow.proto.TestResults.BenchmarkType
internalGetValueMap() - Static method in enum org.tensorflow.proto.VariableAggregation
internalGetValueMap() - Static method in enum org.tensorflow.proto.VariableSynchronization
internalGetValueMap() - Static method in enum org.tensorflow.proto.VerifierConfig.Toggle
internalGetValueMap() - Static method in enum org.tensorflow.proto.WorkerHealth
internalGetValueMap() - Static method in enum org.tensorflow.proto.WorkerShutdownMode
interpolation - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: Interpolation method, "NEAREST" or "BILINEAR".
interpolation - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: Interpolation method, "NEAREST" or "BILINEAR".
INTERPOLATION - Enum constant in enum org.tensorflow.framework.metrics.AUCSummationMethod: Apply mid-point summation scheme for AUCCurve.ROC.
intersection(Scope, Operand, Operand) - Static method in class org.tensorflow.framework.op.sets.Sets: Computes set intersection of elements in last dimension of a and b.
intersection(Operand, Operand) - Method in class org.tensorflow.framework.op.SetOps: Computes set intersection of elements in last dimension of a and b.
INTERSECTION - Enum constant in enum org.tensorflow.framework.op.sets.Sets.Operation
inTopK(Operand, Operand, Operand) - Method in class org.tensorflow.op.NnOps: Says whether the targets are in the top K predictions.
InTopK - Class in org.tensorflow.op.nn: Says whether the targets are in the top K predictions.
InTopK(Operation) - Constructor for class org.tensorflow.op.nn.InTopK
InTopK.Inputs<T> - Class in org.tensorflow.op.nn
INTRA_OP_PARALLELISM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.SessionInfo
INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
inv(Operand, Inv.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).
Inv<T> - Class in org.tensorflow.op.linalg: Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).
Inv(Operation) - Constructor for class org.tensorflow.op.linalg.Inv
Inv.Inputs<T> - Class in org.tensorflow.op.linalg
Inv.Options - Class in org.tensorflow.op.linalg: Optional attributes for Inv
INVALID_ARGUMENT - Enum constant in enum org.tensorflow.proto.error.Code: Client specified an invalid argument.
INVALID_ARGUMENT_VALUE - Static variable in enum org.tensorflow.proto.error.Code: Client specified an invalid argument.
invert(Operand) - Method in class org.tensorflow.op.BitwiseOps: Invert (flip) each bit of supported types; for example, type uint8 value 01010101 becomes 10101010.
Invert<T> - Class in org.tensorflow.op.bitwise: Invert (flip) each bit of supported types; for example, type uint8 value 01010101 becomes 10101010.
Invert(Operation) - Constructor for class org.tensorflow.op.bitwise.Invert
Invert.Inputs<T> - Class in org.tensorflow.op.bitwise
invertPermutation(Operand) - Method in class org.tensorflow.op.MathOps: Computes the inverse permutation of a tensor.
InvertPermutation<T> - Class in org.tensorflow.op.math: Computes the inverse permutation of a tensor.
InvertPermutation(Operation) - Constructor for class org.tensorflow.op.math.InvertPermutation
InvertPermutation.Inputs<T> - Class in org.tensorflow.op.math
invGrad(Operand, Operand) - Method in class org.tensorflow.op.NnOps: Computes the gradient for the inverse of x wrt its input.
InvGrad<T> - Class in org.tensorflow.op.nn: Computes the gradient for the inverse of x wrt its input.
InvGrad(Operation) - Constructor for class org.tensorflow.op.nn.InvGrad
InvGrad.Inputs<T> - Class in org.tensorflow.op.nn
io - Variable in class org.tensorflow.op.Ops
ioIndex - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: The index of which the tensor is an input or output of the node.
ioIndex(Long) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the ioIndex option.
ioIndex(Long) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the ioIndex option.
ioOfNode - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Name of the node of which the tensor is an input or output.
ioOfNode(String) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the ioOfNode option.
ioOfNode(String) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the ioOfNode option.
IoOps - Class in org.tensorflow.op: An API for building io operations as Ops
IOS_BENCHMARK - Enum constant in enum org.tensorflow.proto.TestResults.BenchmarkType: IOS_BENCHMARK = 5;
IOS_BENCHMARK_VALUE - Static variable in enum org.tensorflow.proto.TestResults.BenchmarkType: IOS_BENCHMARK = 5;
iouThreshold - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A 0-D float tensor representing the threshold for deciding whether boxes overlap too much with respect to IOU.
iouThreshold - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 0-D float tensor representing the threshold for deciding whether boxes overlap too much with respect to IOU.
irfft(Operand, Operand) - Method in class org.tensorflow.op.SignalOps: Inverse real-valued fast Fourier transform.
irfft(Operand, Operand, Class) - Method in class org.tensorflow.op.SignalOps: Inverse real-valued fast Fourier transform.
Irfft - Class in org.tensorflow.op.signal: Inverse real-valued fast Fourier transform.
Irfft(Operation) - Constructor for class org.tensorflow.op.signal.Irfft
Irfft.Inputs - Class in org.tensorflow.op.signal
irfft2d(Operand, Operand) - Method in class org.tensorflow.op.SignalOps: Inverse 2D real-valued fast Fourier transform.
irfft2d(Operand, Operand, Class) - Method in class org.tensorflow.op.SignalOps: Inverse 2D real-valued fast Fourier transform.
Irfft2d - Class in org.tensorflow.op.signal: Inverse 2D real-valued fast Fourier transform.
Irfft2d(Operation) - Constructor for class org.tensorflow.op.signal.Irfft2d
Irfft2d.Inputs - Class in org.tensorflow.op.signal
irfft3d(Operand, Operand) - Method in class org.tensorflow.op.SignalOps: Inverse 3D real-valued fast Fourier transform.
irfft3d(Operand, Operand, Class) - Method in class org.tensorflow.op.SignalOps: Inverse 3D real-valued fast Fourier transform.
Irfft3d - Class in org.tensorflow.op.signal: Inverse 3D real-valued fast Fourier transform.
Irfft3d(Operation) - Constructor for class org.tensorflow.op.signal.Irfft3d
Irfft3d.Inputs - Class in org.tensorflow.op.signal
irfftNd(Operand, Operand, Operand) - Method in class org.tensorflow.op.SignalOps: ND inverse real fast Fourier transform.
irfftNd(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.SignalOps: ND inverse real fast Fourier transform.
IrfftNd - Class in org.tensorflow.op.signal: ND inverse real fast Fourier transform.
IrfftNd(Operation) - Constructor for class org.tensorflow.op.signal.IrfftNd
IrfftNd.Inputs - Class in org.tensorflow.op.signal
IS_AGGREGATE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
IS_COMMUTATIVE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
IS_DISTRIBUTED_COMMUNICATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
IS_FINAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
is_list() - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
is_list(byte) - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
IS_METHOD_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
IS_REF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.ArgDef
IS_RESOURCE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VariableDef
IS_SET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
IS_STATEFUL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
isApproximate() - Method in class org.tensorflow.framework.activations.GELU: Gets the flag whether to enable approximation.
isClosed() - Method in class org.tensorflow.op.io.QueueIsClosed: Gets isClosed.
isClosed() - Method in class org.tensorflow.Output: Returns whether the underlying operation has no valid handle.
isConstant - Variable in class org.tensorflow.op.core.Enter.Inputs: If true, the output is constant within the child frame.
isConstant - Variable in class org.tensorflow.op.core.RefEnter.Inputs: If true, the output is constant within the child frame.
isConstant(Boolean) - Static method in class org.tensorflow.op.core.Enter: Sets the isConstant option.
isConstant(Boolean) - Method in class org.tensorflow.op.core.Enter.Options: Sets the isConstant option.
isConstant(Boolean) - Static method in class org.tensorflow.op.core.RefEnter: Sets the isConstant option.
isConstant(Boolean) - Method in class org.tensorflow.op.core.RefEnter.Options: Sets the isConstant option.
isEager() - Method in interface org.tensorflow.ExecutionEnvironment
isEmpty() - Method in class org.tensorflow.Session.Runner: True if there are no targets or fetches.
isFiles - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The isFiles attribute
isFiles(Boolean) - Static method in class org.tensorflow.op.data.TensorSliceDataset: Sets the isFiles option.
isFiles(Boolean) - Method in class org.tensorflow.op.data.TensorSliceDataset.Options: Sets the isFiles option.
isFinite(Operand) - Method in class org.tensorflow.op.MathOps: Returns which elements of x are finite.
IsFinite - Class in org.tensorflow.op.math: Returns which elements of x are finite.
IsFinite(Operation) - Constructor for class org.tensorflow.op.math.IsFinite
IsFinite.Inputs - Class in org.tensorflow.op.math
isGlobalInit - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: Reserved.
isGlobalInit(Boolean) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the isGlobalInit option.
isGlobalInit(Boolean) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the isGlobalInit option.
isGraph() - Method in interface org.tensorflow.ExecutionEnvironment
isInf(Operand) - Method in class org.tensorflow.op.MathOps: Returns which elements of x are Inf.
IsInf - Class in org.tensorflow.op.math: Returns which elements of x are Inf.
IsInf(Operation) - Constructor for class org.tensorflow.op.math.IsInf
IsInf.Inputs - Class in org.tensorflow.op.math
isInit() - Method in class org.tensorflow.op.NativeScope
isInit() - Method in class org.tensorflow.op.OpScope
isInit() - Method in interface org.tensorflow.op.Scope: Get whether this scope is building init ops.
isInitialized() - Method in class org.tensorflow.framework.metrics.BaseMetric: Checks whether the Metric is initialized or not.
isInitialized() - Method in class org.tensorflow.op.core.IsVariableInitialized: Gets isInitialized.
isInitialized() - Method in class org.tensorflow.op.core.VarIsInitializedOp: Gets isInitialized. a scalar boolean which is true if the variable has been initialized.
isInitialized() - Method in class org.tensorflow.proto.AllocationDescription.Builder
isInitialized() - Method in class org.tensorflow.proto.AllocationDescription
isInitialized() - Method in class org.tensorflow.proto.AllocationRecord.Builder
isInitialized() - Method in class org.tensorflow.proto.AllocationRecord
isInitialized() - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
isInitialized() - Method in class org.tensorflow.proto.AllocatorMemoryUsed
isInitialized() - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
isInitialized() - Method in class org.tensorflow.proto.ApiDef.Arg
isInitialized() - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
isInitialized() - Method in class org.tensorflow.proto.ApiDef.Attr
isInitialized() - Method in class org.tensorflow.proto.ApiDef.Builder
isInitialized() - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
isInitialized() - Method in class org.tensorflow.proto.ApiDef.Endpoint
isInitialized() - Method in class org.tensorflow.proto.ApiDef
isInitialized() - Method in class org.tensorflow.proto.ApiDefs.Builder
isInitialized() - Method in class org.tensorflow.proto.ApiDefs
isInitialized() - Method in class org.tensorflow.proto.AssetFileDef.Builder
isInitialized() - Method in class org.tensorflow.proto.AssetFileDef
isInitialized() - Method in class org.tensorflow.proto.AttrValue.Builder
isInitialized() - Method in class org.tensorflow.proto.AttrValue
isInitialized() - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
isInitialized() - Method in class org.tensorflow.proto.AttrValue.ListValue
isInitialized() - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.AutoParallelOptions
isInitialized() - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.AvailableDeviceInfo
isInitialized() - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
isInitialized() - Method in class org.tensorflow.proto.BenchmarkEntries
isInitialized() - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
isInitialized() - Method in class org.tensorflow.proto.BenchmarkEntry
isInitialized() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
isInitialized() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
isInitialized() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
isInitialized() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
isInitialized() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
isInitialized() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
isInitialized() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
isInitialized() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
isInitialized() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
isInitialized() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
isInitialized() - Method in class org.tensorflow.proto.BuildConfiguration.Builder
isInitialized() - Method in class org.tensorflow.proto.BuildConfiguration
isInitialized() - Method in class org.tensorflow.proto.BundleEntryProto.Builder
isInitialized() - Method in class org.tensorflow.proto.BundleEntryProto
isInitialized() - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
isInitialized() - Method in class org.tensorflow.proto.BundleHeaderProto
isInitialized() - Method in class org.tensorflow.proto.BytesList.Builder
isInitialized() - Method in class org.tensorflow.proto.BytesList
isInitialized() - Method in class org.tensorflow.proto.CallableOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.CallableOptions
isInitialized() - Method in class org.tensorflow.proto.ClusterDef.Builder
isInitialized() - Method in class org.tensorflow.proto.ClusterDef
isInitialized() - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
isInitialized() - Method in class org.tensorflow.proto.ClusterDeviceFilters
isInitialized() - Method in class org.tensorflow.proto.CodeLocation.Builder
isInitialized() - Method in class org.tensorflow.proto.CodeLocation
isInitialized() - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
isInitialized() - Method in class org.tensorflow.proto.CollectionDef.AnyList
isInitialized() - Method in class org.tensorflow.proto.CollectionDef.Builder
isInitialized() - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
isInitialized() - Method in class org.tensorflow.proto.CollectionDef.BytesList
isInitialized() - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
isInitialized() - Method in class org.tensorflow.proto.CollectionDef.FloatList
isInitialized() - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
isInitialized() - Method in class org.tensorflow.proto.CollectionDef.Int64List
isInitialized() - Method in class org.tensorflow.proto.CollectionDef
isInitialized() - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
isInitialized() - Method in class org.tensorflow.proto.CollectionDef.NodeList
isInitialized() - Method in class org.tensorflow.proto.CommitId.Builder
isInitialized() - Method in class org.tensorflow.proto.CommitId
isInitialized() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
isInitialized() - Method in class org.tensorflow.proto.CondContextDef.Builder
isInitialized() - Method in class org.tensorflow.proto.CondContextDef
isInitialized() - Method in class org.tensorflow.proto.ConfigProto.Builder
isInitialized() - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
isInitialized() - Method in class org.tensorflow.proto.ConfigProto.Experimental
isInitialized() - Method in class org.tensorflow.proto.ConfigProto
isInitialized() - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
isInitialized() - Method in class org.tensorflow.proto.ControlFlowContextDef
isInitialized() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
isInitialized() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
isInitialized() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
isInitialized() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
isInitialized() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
isInitialized() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
isInitialized() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
isInitialized() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
isInitialized() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
isInitialized() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
isInitialized() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
isInitialized() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
isInitialized() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
isInitialized() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
isInitialized() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
isInitialized() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
isInitialized() - Method in class org.tensorflow.proto.CostGraphDef.Builder
isInitialized() - Method in class org.tensorflow.proto.CostGraphDef
isInitialized() - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
isInitialized() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
isInitialized() - Method in class org.tensorflow.proto.CostGraphDef.Node
isInitialized() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
isInitialized() - Method in class org.tensorflow.proto.CPUInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.CPUInfo
isInitialized() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
isInitialized() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
isInitialized() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
isInitialized() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
isInitialized() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
isInitialized() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
isInitialized() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
isInitialized() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
isInitialized() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
isInitialized() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
isInitialized() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
isInitialized() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
isInitialized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
isInitialized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
isInitialized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
isInitialized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
isInitialized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
isInitialized() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
isInitialized() - Method in class org.tensorflow.proto.data.model.Model.ModelProto
isInitialized() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
isInitialized() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
isInitialized() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
isInitialized() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
isInitialized() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
isInitialized() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
isInitialized() - Method in class org.tensorflow.proto.DebugEvent.Builder
isInitialized() - Method in class org.tensorflow.proto.DebugEvent
isInitialized() - Method in class org.tensorflow.proto.DebuggedDevice.Builder
isInitialized() - Method in class org.tensorflow.proto.DebuggedDevice
isInitialized() - Method in class org.tensorflow.proto.DebuggedGraph.Builder
isInitialized() - Method in class org.tensorflow.proto.DebuggedGraph
isInitialized() - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
isInitialized() - Method in class org.tensorflow.proto.DebuggedSourceFile
isInitialized() - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
isInitialized() - Method in class org.tensorflow.proto.DebuggedSourceFiles
isInitialized() - Method in class org.tensorflow.proto.DebugMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.DebugMetadata
isInitialized() - Method in class org.tensorflow.proto.DebugOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.DebugOptions
isInitialized() - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
isInitialized() - Method in class org.tensorflow.proto.DebugTensorWatch
isInitialized() - Method in class org.tensorflow.proto.DeviceAttributes.Builder
isInitialized() - Method in class org.tensorflow.proto.DeviceAttributes
isInitialized() - Method in class org.tensorflow.proto.DeviceLocality.Builder
isInitialized() - Method in class org.tensorflow.proto.DeviceLocality
isInitialized() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
isInitialized() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
isInitialized() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
isInitialized() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
isInitialized() - Method in class org.tensorflow.proto.DeviceStepStats.Builder
isInitialized() - Method in class org.tensorflow.proto.DeviceStepStats
isInitialized() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
isInitialized() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
isInitialized() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
isInitialized() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
isInitialized() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
isInitialized() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
isInitialized() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
isInitialized() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
isInitialized() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
isInitialized() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
isInitialized() - Method in class org.tensorflow.proto.EntryValue.Builder
isInitialized() - Method in class org.tensorflow.proto.EntryValue
isInitialized() - Method in class org.tensorflow.proto.Event.Builder
isInitialized() - Method in class org.tensorflow.proto.Event
isInitialized() - Method in class org.tensorflow.proto.Example.Builder
isInitialized() - Method in class org.tensorflow.proto.Example
isInitialized() - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
isInitialized() - Method in class org.tensorflow.proto.ExampleParserConfiguration
isInitialized() - Method in class org.tensorflow.proto.Execution.Builder
isInitialized() - Method in class org.tensorflow.proto.Execution
isInitialized() - Method in class org.tensorflow.proto.Feature.Builder
isInitialized() - Method in class org.tensorflow.proto.Feature
isInitialized() - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
isInitialized() - Method in class org.tensorflow.proto.FeatureConfiguration
isInitialized() - Method in class org.tensorflow.proto.FeatureList.Builder
isInitialized() - Method in class org.tensorflow.proto.FeatureList
isInitialized() - Method in class org.tensorflow.proto.FeatureLists.Builder
isInitialized() - Method in class org.tensorflow.proto.FeatureLists
isInitialized() - Method in class org.tensorflow.proto.Features.Builder
isInitialized() - Method in class org.tensorflow.proto.Features
isInitialized() - Method in class org.tensorflow.proto.FingerprintDef.Builder
isInitialized() - Method in class org.tensorflow.proto.FingerprintDef
isInitialized() - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
isInitialized() - Method in class org.tensorflow.proto.FixedLenFeatureProto
isInitialized() - Method in class org.tensorflow.proto.FloatList.Builder
isInitialized() - Method in class org.tensorflow.proto.FloatList
isInitialized() - Method in class org.tensorflow.proto.FullTypeDef.Builder
isInitialized() - Method in class org.tensorflow.proto.FullTypeDef
isInitialized() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
isInitialized() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
isInitialized() - Method in class org.tensorflow.proto.FunctionDef.Builder
isInitialized() - Method in class org.tensorflow.proto.FunctionDef
isInitialized() - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
isInitialized() - Method in class org.tensorflow.proto.FunctionDefLibrary
isInitialized() - Method in class org.tensorflow.proto.GPUInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.GPUInfo
isInitialized() - Method in class org.tensorflow.proto.GPUOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
isInitialized() - Method in class org.tensorflow.proto.GPUOptions.Experimental
isInitialized() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
isInitialized() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
isInitialized() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
isInitialized() - Method in class org.tensorflow.proto.GPUOptions
isInitialized() - Method in class org.tensorflow.proto.GradientDef.Builder
isInitialized() - Method in class org.tensorflow.proto.GradientDef
isInitialized() - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
isInitialized() - Method in class org.tensorflow.proto.GraphDebugInfo
isInitialized() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
isInitialized() - Method in class org.tensorflow.proto.GraphDef.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphDef
isInitialized() - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphExecutionTrace
isInitialized() - Method in class org.tensorflow.proto.GraphOpCreation.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphOpCreation
isInitialized() - Method in class org.tensorflow.proto.GraphOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphOptions
isInitialized() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
isInitialized() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
isInitialized() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
isInitialized() - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphTransferInfo
isInitialized() - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphTransferNodeInfo
isInitialized() - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphTransferNodeInput
isInitialized() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
isInitialized() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
isInitialized() - Method in class org.tensorflow.proto.HistogramProto.Builder
isInitialized() - Method in class org.tensorflow.proto.HistogramProto
isInitialized() - Method in class org.tensorflow.proto.Int64List.Builder
isInitialized() - Method in class org.tensorflow.proto.Int64List
isInitialized() - Method in class org.tensorflow.proto.InterconnectLink.Builder
isInitialized() - Method in class org.tensorflow.proto.InterconnectLink
isInitialized() - Method in class org.tensorflow.proto.JobDef.Builder
isInitialized() - Method in class org.tensorflow.proto.JobDef
isInitialized() - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
isInitialized() - Method in class org.tensorflow.proto.JobDeviceFilters
isInitialized() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
isInitialized() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
isInitialized() - Method in class org.tensorflow.proto.KernelDef.Builder
isInitialized() - Method in class org.tensorflow.proto.KernelDef
isInitialized() - Method in class org.tensorflow.proto.KernelList.Builder
isInitialized() - Method in class org.tensorflow.proto.KernelList
isInitialized() - Method in class org.tensorflow.proto.LocalLinks.Builder
isInitialized() - Method in class org.tensorflow.proto.LocalLinks
isInitialized() - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
isInitialized() - Method in class org.tensorflow.proto.LogMessage: Deprecated.
isInitialized() - Method in class org.tensorflow.proto.MachineConfiguration.Builder
isInitialized() - Method in class org.tensorflow.proto.MachineConfiguration
isInitialized() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
isInitialized() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
isInitialized() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
isInitialized() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
isInitialized() - Method in class org.tensorflow.proto.MemoryInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.MemoryInfo
isInitialized() - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
isInitialized() - Method in class org.tensorflow.proto.MemoryLogRawAllocation
isInitialized() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
isInitialized() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
isInitialized() - Method in class org.tensorflow.proto.MemoryLogStep.Builder
isInitialized() - Method in class org.tensorflow.proto.MemoryLogStep
isInitialized() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
isInitialized() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
isInitialized() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
isInitialized() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
isInitialized() - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
isInitialized() - Method in class org.tensorflow.proto.MemoryLogTensorOutput
isInitialized() - Method in class org.tensorflow.proto.MemoryStats.Builder
isInitialized() - Method in class org.tensorflow.proto.MemoryStats
isInitialized() - Method in class org.tensorflow.proto.MetaGraphDef.Builder
isInitialized() - Method in class org.tensorflow.proto.MetaGraphDef
isInitialized() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
isInitialized() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
isInitialized() - Method in class org.tensorflow.proto.MetricEntry.Builder
isInitialized() - Method in class org.tensorflow.proto.MetricEntry
isInitialized() - Method in class org.tensorflow.proto.NameAttrList.Builder
isInitialized() - Method in class org.tensorflow.proto.NameAttrList
isInitialized() - Method in class org.tensorflow.proto.NamedTensorProto.Builder
isInitialized() - Method in class org.tensorflow.proto.NamedTensorProto
isInitialized() - Method in class org.tensorflow.proto.NodeDef.Builder
isInitialized() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
isInitialized() - Method in class org.tensorflow.proto.NodeDef
isInitialized() - Method in class org.tensorflow.proto.NodeExecStats.Builder
isInitialized() - Method in class org.tensorflow.proto.NodeExecStats
isInitialized() - Method in class org.tensorflow.proto.NodeOutput.Builder
isInitialized() - Method in class org.tensorflow.proto.NodeOutput
isInitialized() - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
isInitialized() - Method in class org.tensorflow.proto.OpDef.ArgDef
isInitialized() - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
isInitialized() - Method in class org.tensorflow.proto.OpDef.AttrDef
isInitialized() - Method in class org.tensorflow.proto.OpDef.Builder
isInitialized() - Method in class org.tensorflow.proto.OpDef
isInitialized() - Method in class org.tensorflow.proto.OpDeprecation.Builder
isInitialized() - Method in class org.tensorflow.proto.OpDeprecation
isInitialized() - Method in class org.tensorflow.proto.OpList.Builder
isInitialized() - Method in class org.tensorflow.proto.OpList
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
isInitialized() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
isInitialized() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
isInitialized() - Method in class org.tensorflow.proto.OptimizerOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.OptimizerOptions
isInitialized() - Method in class org.tensorflow.proto.PlatformInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.PlatformInfo
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XLine
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XStat
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
isInitialized() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
isInitialized() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
isInitialized() - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
isInitialized() - Method in class org.tensorflow.proto.QueueRunnerDef
isInitialized() - Method in class org.tensorflow.proto.ReaderBaseState.Builder
isInitialized() - Method in class org.tensorflow.proto.ReaderBaseState
isInitialized() - Method in class org.tensorflow.proto.RegisteredGradient.Builder
isInitialized() - Method in class org.tensorflow.proto.RegisteredGradient
isInitialized() - Method in class org.tensorflow.proto.RequestedExitCode.Builder
isInitialized() - Method in class org.tensorflow.proto.RequestedExitCode
isInitialized() - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
isInitialized() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
isInitialized() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
isInitialized() - Method in class org.tensorflow.proto.ResourceHandleProto
isInitialized() - Method in class org.tensorflow.proto.RewriterConfig.Builder
isInitialized() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
isInitialized() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
isInitialized() - Method in class org.tensorflow.proto.RewriterConfig
isInitialized() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
isInitialized() - Method in class org.tensorflow.proto.RunConfiguration.Builder
isInitialized() - Method in class org.tensorflow.proto.RunConfiguration
isInitialized() - Method in class org.tensorflow.proto.RunMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
isInitialized() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
isInitialized() - Method in class org.tensorflow.proto.RunMetadata
isInitialized() - Method in class org.tensorflow.proto.RunOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
isInitialized() - Method in class org.tensorflow.proto.RunOptions.Experimental
isInitialized() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
isInitialized() - Method in class org.tensorflow.proto.RunOptions
isInitialized() - Method in class org.tensorflow.proto.SavedModel.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedModel
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
isInitialized() - Method in class org.tensorflow.proto.SavedSlice.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedSlice
isInitialized() - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedSliceMeta
isInitialized() - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedTensorSliceMeta
isInitialized() - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
isInitialized() - Method in class org.tensorflow.proto.SavedTensorSlices
isInitialized() - Method in class org.tensorflow.proto.SaverDef.Builder
isInitialized() - Method in class org.tensorflow.proto.SaverDef
isInitialized() - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
isInitialized() - Method in class org.tensorflow.proto.SaveSliceInfoDef
isInitialized() - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
isInitialized() - Method in class org.tensorflow.proto.ScopedAllocatorOptions
isInitialized() - Method in class org.tensorflow.proto.SequenceExample.Builder
isInitialized() - Method in class org.tensorflow.proto.SequenceExample
isInitialized() - Method in class org.tensorflow.proto.SerializedDType.Builder
isInitialized() - Method in class org.tensorflow.proto.SerializedDType
isInitialized() - Method in class org.tensorflow.proto.ServerDef.Builder
isInitialized() - Method in class org.tensorflow.proto.ServerDef
isInitialized() - Method in class org.tensorflow.proto.SessionLog.Builder
isInitialized() - Method in class org.tensorflow.proto.SessionLog
isInitialized() - Method in class org.tensorflow.proto.SessionMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.SessionMetadata
isInitialized() - Method in class org.tensorflow.proto.SignatureDef.Builder
isInitialized() - Method in class org.tensorflow.proto.SignatureDef
isInitialized() - Method in class org.tensorflow.proto.SourceFile.Builder
isInitialized() - Method in class org.tensorflow.proto.SourceFile
isInitialized() - Method in class org.tensorflow.proto.SourceMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.SourceMetadata
isInitialized() - Method in class org.tensorflow.proto.StackFrameWithId.Builder
isInitialized() - Method in class org.tensorflow.proto.StackFrameWithId
isInitialized() - Method in class org.tensorflow.proto.StatusProto.Builder
isInitialized() - Method in class org.tensorflow.proto.StatusProto
isInitialized() - Method in class org.tensorflow.proto.StepStats.Builder
isInitialized() - Method in class org.tensorflow.proto.StepStats
isInitialized() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
isInitialized() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
isInitialized() - Method in class org.tensorflow.proto.Struct.DictValue.Builder
isInitialized() - Method in class org.tensorflow.proto.Struct.DictValue
isInitialized() - Method in class org.tensorflow.proto.Struct.ListValue.Builder
isInitialized() - Method in class org.tensorflow.proto.Struct.ListValue
isInitialized() - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
isInitialized() - Method in class org.tensorflow.proto.Struct.NamedTupleValue
isInitialized() - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
isInitialized() - Method in class org.tensorflow.proto.Struct.NoneValue
isInitialized() - Method in class org.tensorflow.proto.Struct.PairValue.Builder
isInitialized() - Method in class org.tensorflow.proto.Struct.PairValue
isInitialized() - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
isInitialized() - Method in class org.tensorflow.proto.Struct.StructuredValue
isInitialized() - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
isInitialized() - Method in class org.tensorflow.proto.Struct.TensorSpecProto
isInitialized() - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
isInitialized() - Method in class org.tensorflow.proto.Struct.TupleValue
isInitialized() - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
isInitialized() - Method in class org.tensorflow.proto.Struct.TypeSpecProto
isInitialized() - Method in class org.tensorflow.proto.Summary.Audio.Builder
isInitialized() - Method in class org.tensorflow.proto.Summary.Audio
isInitialized() - Method in class org.tensorflow.proto.Summary.Builder
isInitialized() - Method in class org.tensorflow.proto.Summary.Image.Builder
isInitialized() - Method in class org.tensorflow.proto.Summary.Image
isInitialized() - Method in class org.tensorflow.proto.Summary
isInitialized() - Method in class org.tensorflow.proto.Summary.Value.Builder
isInitialized() - Method in class org.tensorflow.proto.Summary.Value
isInitialized() - Method in class org.tensorflow.proto.SummaryDescription.Builder
isInitialized() - Method in class org.tensorflow.proto.SummaryDescription
isInitialized() - Method in class org.tensorflow.proto.SummaryMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.SummaryMetadata
isInitialized() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
isInitialized() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
isInitialized() - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
isInitialized() - Method in class org.tensorflow.proto.TaggedRunMetadata
isInitialized() - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
isInitialized() - Method in class org.tensorflow.proto.TaskDeviceFilters
isInitialized() - Method in class org.tensorflow.proto.TensorConnection.Builder
isInitialized() - Method in class org.tensorflow.proto.TensorConnection
isInitialized() - Method in class org.tensorflow.proto.TensorDescription.Builder
isInitialized() - Method in class org.tensorflow.proto.TensorDescription
isInitialized() - Method in class org.tensorflow.proto.TensorInfo.Builder
isInitialized() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
isInitialized() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
isInitialized() - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
isInitialized() - Method in class org.tensorflow.proto.TensorInfo.CooSparse
isInitialized() - Method in class org.tensorflow.proto.TensorInfo
isInitialized() - Method in class org.tensorflow.proto.TensorProto.Builder
isInitialized() - Method in class org.tensorflow.proto.TensorProto
isInitialized() - Method in class org.tensorflow.proto.TensorShapeProto.Builder
isInitialized() - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
isInitialized() - Method in class org.tensorflow.proto.TensorShapeProto.Dim
isInitialized() - Method in class org.tensorflow.proto.TensorShapeProto
isInitialized() - Method in class org.tensorflow.proto.TensorSliceProto.Builder
isInitialized() - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
isInitialized() - Method in class org.tensorflow.proto.TensorSliceProto.Extent
isInitialized() - Method in class org.tensorflow.proto.TensorSliceProto
isInitialized() - Method in class org.tensorflow.proto.TestResults.Builder
isInitialized() - Method in class org.tensorflow.proto.TestResults
isInitialized() - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
isInitialized() - Method in class org.tensorflow.proto.ThreadPoolOptionProto
isInitialized() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
isInitialized() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
isInitialized() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
isInitialized() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
isInitialized() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
isInitialized() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
isInitialized() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
isInitialized() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
isInitialized() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
isInitialized() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
isInitialized() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
isInitialized() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
isInitialized() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
isInitialized() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
isInitialized() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
isInitialized() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
isInitialized() - Method in class org.tensorflow.proto.ValuesDef.Builder
isInitialized() - Method in class org.tensorflow.proto.ValuesDef
isInitialized() - Method in class org.tensorflow.proto.VariableDef.Builder
isInitialized() - Method in class org.tensorflow.proto.VariableDef
isInitialized() - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
isInitialized() - Method in class org.tensorflow.proto.VariantTensorDataProto
isInitialized() - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
isInitialized() - Method in class org.tensorflow.proto.VarLenFeatureProto
isInitialized() - Method in class org.tensorflow.proto.VerifierConfig.Builder
isInitialized() - Method in class org.tensorflow.proto.VerifierConfig
isInitialized() - Method in class org.tensorflow.proto.VersionDef.Builder
isInitialized() - Method in class org.tensorflow.proto.VersionDef
isInitialized() - Method in class org.tensorflow.proto.WatchdogConfig.Builder
isInitialized() - Method in class org.tensorflow.proto.WatchdogConfig
isInitialized() - Method in class org.tensorflow.proto.WhileContextDef.Builder
isInitialized() - Method in class org.tensorflow.proto.WhileContextDef
isInitialized() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
isInitialized() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
isInitialized() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
isInitialized() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
isInitializer(Operation) - Method in class org.tensorflow.EagerSession: Noop, initialization is meaningless for eager sessions
isInitializer(Operation) - Method in interface org.tensorflow.ExecutionEnvironment: Get whether an op is an initialization op.
isInitializer(Operation) - Method in class org.tensorflow.Graph
isInput - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: If true, the tensor is an input of the node; otherwise the output.
isInput(Boolean) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the isInput option.
isInput(Boolean) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the isInput option.
isList - Variable in class org.tensorflow.op.AttributeMetadata: Whether this attribute is a list.
isMaxK - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: When true, computes max-k; otherwise computes min-k.
isMaxK(Boolean) - Static method in class org.tensorflow.op.core.ApproxTopK: Sets the isMaxK option.
isMaxK(Boolean) - Method in class org.tensorflow.op.core.ApproxTopK.Options: Sets the isMaxK option.
isMirroredVariable - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The isMirroredVariable attribute
isMirroredVariable - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The isMirroredVariable attribute
isMirroredVariable(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicatedInput: Sets the isMirroredVariable option.
isMirroredVariable(Boolean) - Method in class org.tensorflow.op.tpu.ReplicatedInput.Options: Sets the isMirroredVariable option.
isMirroredVariable(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Sets the isMirroredVariable option.
isMirroredVariable(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicatedInput.Options: Deprecated.

Sets the isMirroredVariable option.
isMultiLabel() - Method in class org.tensorflow.framework.metrics.AUC
isNan(Operand) - Method in class org.tensorflow.op.MathOps: Returns which elements of x are NaN.
IsNan - Class in org.tensorflow.op.math: Returns which elements of x are NaN.
IsNan(Operation) - Constructor for class org.tensorflow.op.math.IsNan
IsNan.Inputs - Class in org.tensorflow.op.math
ISOLATE_SESSION_STATE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
isOpEnabled(String) - Method in class org.tensorflow.EagerSession
isOpEnabled(String) - Method in interface org.tensorflow.ExecutionEnvironment: Returns true if the given operation is valid in this execution environment.
isOpStateful(String) - Static method in class org.tensorflow.TensorFlow
isotonicRegression(Operand) - Method in class org.tensorflow.op.NnOps: Solves a batch of isotonic regression problems.
isotonicRegression(Operand, Class) - Method in class org.tensorflow.op.NnOps: Solves a batch of isotonic regression problems.
IsotonicRegression - Class in org.tensorflow.op.nn: Solves a batch of isotonic regression problems.
IsotonicRegression(Operation) - Constructor for class org.tensorflow.op.nn.IsotonicRegression
IsotonicRegression.Inputs - Class in org.tensorflow.op.nn
isPacked - Variable in class org.tensorflow.op.tpu.PartitionedInput.Inputs: Indicates whether the input is a packed resource.
isPacked - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The isPacked attribute
isPacked - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The isPacked attribute
isPacked(Boolean) - Static method in class org.tensorflow.op.tpu.PartitionedInput: Sets the isPacked option.
isPacked(Boolean) - Method in class org.tensorflow.op.tpu.PartitionedInput.Options: Sets the isPacked option.
isPacked(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicatedInput: Sets the isPacked option.
isPacked(Boolean) - Method in class org.tensorflow.op.tpu.ReplicatedInput.Options: Sets the isPacked option.
isPacked(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Sets the isPacked option.
isPacked(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicatedInput.Options: Deprecated.

Sets the isPacked option.
isSparse() - Method in interface org.tensorflow.Tensor: Check if this tensor is sparse or not.
isStateful() - Method in class org.tensorflow.ConcreteFunction: Get whether the function is stateful.
isStateless - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The isStateless attribute
isStateless - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The isStateless attribute
isStateless(Boolean) - Static method in class org.tensorflow.op.collective.CollectiveGather: Sets the isStateless option.
isStateless(Boolean) - Method in class org.tensorflow.op.collective.CollectiveGather.Options: Sets the isStateless option.
isStateless(Boolean) - Static method in class org.tensorflow.op.collective.CollectiveReduceScatter: Sets the isStateless option.
isStateless(Boolean) - Method in class org.tensorflow.op.collective.CollectiveReduceScatter.Options: Sets the isStateless option.
isTpuEmbeddingInitialized() - Method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized: Gets isTpuEmbeddingInitialized.
isTPUEmbeddingInitialized(IsTPUEmbeddingInitialized.Options...) - Method in class org.tensorflow.op.TpuOps: Whether TPU Embedding is initialized in a distributed TPU system.
IsTPUEmbeddingInitialized - Class in org.tensorflow.op.tpu: Whether TPU Embedding is initialized in a distributed TPU system.
IsTPUEmbeddingInitialized(Operation) - Constructor for class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized
IsTPUEmbeddingInitialized.Inputs - Class in org.tensorflow.op.tpu
IsTPUEmbeddingInitialized.Options - Class in org.tensorflow.op.tpu: Optional attributes for IsTPUEmbeddingInitialized
isTraining - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The isTraining attribute
isTraining - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A bool value to indicate the operation is for training (default) or inference.
isTraining - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A bool value to indicate the operation is for training (default) or inference.
isTraining(Boolean) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the isTraining option.
isTraining(Boolean) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the isTraining option.
isTraining(Boolean) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Sets the isTraining option.
isTraining(Boolean) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options: Sets the isTraining option.
isTraining(Boolean) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad: Sets the isTraining option.
isTraining(Boolean) - Method in class org.tensorflow.op.nn.FusedBatchNormGrad.Options: Sets the isTraining option.
isValidOpName(String) - Static method in interface org.tensorflow.op.Scope: Check whether name is a valid name for an operation.
isVariableInitialized(Operand) - Method in class org.tensorflow.op.Ops: Checks whether a tensor has been initialized.
IsVariableInitialized - Class in org.tensorflow.op.core: Checks whether a tensor has been initialized.
IsVariableInitialized(Operation) - Constructor for class org.tensorflow.op.core.IsVariableInitialized
IsVariableInitialized.Inputs - Class in org.tensorflow.op.core
item - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The item input
item() - Method in class org.tensorflow.op.core.TensorListGetItem: Gets item.
items() - Method in class org.tensorflow.internal.c_api.TF_ShapeAndTypeList
items(TF_ShapeAndType) - Method in class org.tensorflow.internal.c_api.TF_ShapeAndTypeList
IterableOp - Static variable in class org.tensorflow.generator.op.Names
IterableOperation - Static variable in class org.tensorflow.generator.op.Names
iterationCounter - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The iterationCounter input
iterator - Variable in class org.tensorflow.op.data.experimental.StatsAggregatorSummary.Inputs: The iterator input
iterator - Variable in class org.tensorflow.op.data.IteratorGetModelProto.Inputs: An resource from an dataset iterator.
iterator - Variable in class org.tensorflow.op.data.IteratorGetNext.Inputs: The iterator input
iterator - Variable in class org.tensorflow.op.data.IteratorGetNextAsOptional.Inputs: The iterator input
iterator - Variable in class org.tensorflow.op.data.IteratorGetNextSync.Inputs: The iterator input
iterator - Variable in class org.tensorflow.op.data.MakeIterator.Inputs: The iterator input
iterator - Variable in class org.tensorflow.op.summary.StatsAggregatorSummary.Inputs: The iterator input
iterator() - Method in class org.tensorflow.framework.data.Dataset: Creates an iterator which iterates through all batches of this Dataset in an eager fashion.
iterator() - Method in class org.tensorflow.framework.data.DatasetIterator
iterator() - Method in class org.tensorflow.op.core.BatchFunction
iterator() - Method in interface org.tensorflow.op.core.Case
iterator() - Method in class org.tensorflow.op.core.CompositeTensorVariantToComponents
iterator() - Method in class org.tensorflow.op.core.ConcatOffset
iterator() - Method in class org.tensorflow.op.core.DynamicPartition
iterator() - Method in class org.tensorflow.op.core.For
iterator() - Method in class org.tensorflow.op.core.GetElementAtIndex
iterator() - Method in class org.tensorflow.op.core.Gradients
iterator() - Method in class org.tensorflow.op.core.IdentityN
iterator() - Method in interface org.tensorflow.op.core.If
iterator() - Method in class org.tensorflow.op.core.MapDefun
iterator() - Method in class org.tensorflow.op.core.MapPeek
iterator() - Method in class org.tensorflow.op.core.MapUnstage
iterator() - Method in class org.tensorflow.op.core.MlirPassthroughOp
iterator() - Method in class org.tensorflow.op.core.OrderedMapPeek
iterator() - Method in class org.tensorflow.op.core.OrderedMapUnstage
iterator() - Method in class org.tensorflow.op.core.PartitionedCall
iterator() - Method in class org.tensorflow.op.core.RemoteCall
iterator() - Method in class org.tensorflow.op.core.ShapeN
iterator() - Method in class org.tensorflow.op.core.Split
iterator() - Method in class org.tensorflow.op.core.SplitV
iterator() - Method in class org.tensorflow.op.core.StagePeek
iterator() - Method in class org.tensorflow.op.core.StatefulCase
iterator() - Method in class org.tensorflow.op.core.StatefulIf
iterator() - Method in class org.tensorflow.op.core.StatefulPartitionedCall
iterator() - Method in class org.tensorflow.op.core.StatefulWhile
iterator() - Method in class org.tensorflow.op.core.StatelessCase
iterator() - Method in class org.tensorflow.op.core.StatelessIf
iterator() - Method in class org.tensorflow.op.core.StatelessWhile
iterator() - Method in class org.tensorflow.op.core.Unstack
iterator() - Method in class org.tensorflow.op.core.Unstage
iterator() - Method in interface org.tensorflow.op.core.While
iterator() - Method in class org.tensorflow.op.data.DatasetToSingleElement
iterator() - Method in class org.tensorflow.op.data.IteratorGetNext
iterator() - Method in class org.tensorflow.op.data.IteratorGetNextSync
iterator() - Method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard
iterator() - Method in class org.tensorflow.op.data.OptionalGetValue
iterator() - Method in class org.tensorflow.op.data.ReduceDataset
iterator() - Method in class org.tensorflow.op.data.UncompressElement
iterator() - Method in class org.tensorflow.op.io.DecodeCsv
iterator() - Method in class org.tensorflow.op.io.QueueDequeue
iterator() - Method in class org.tensorflow.op.io.QueueDequeueMany
iterator() - Method in class org.tensorflow.op.io.QueueDequeueUpTo
iterator() - Method in class org.tensorflow.op.tpu.DTensorRestore
iterator() - Method in class org.tensorflow.op.tpu.Execute
iterator() - Method in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables
iterator() - Method in class org.tensorflow.op.tpu.InfeedDequeueTuple
iterator() - Method in class org.tensorflow.op.tpu.OutfeedDequeueTuple
iterator() - Method in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2
iterator() - Method in class org.tensorflow.op.tpu.PartitionedCall
iterator() - Method in class org.tensorflow.op.tpu.PartitionedOutput
iterator() - Method in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations
iterator() - Method in class org.tensorflow.op.tpu.ReplicatedOutput
iterator() - Method in class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape
iterator() - Method in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape
iterator() - Method in class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.
iterator() - Method in class org.tensorflow.op.train.Restore
iterator() - Method in class org.tensorflow.op.train.SymbolicGradient
iterator() - Method in class org.tensorflow.op.xla.ReadVariableSplitND
iterator() - Method in class org.tensorflow.op.xla.SplitND
iterator() - Method in class org.tensorflow.op.xla.XlaHostCompute
iterator() - Method in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations
iterator() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput
iterator() - Method in class org.tensorflow.Result
iterator(String, String, List, List) - Method in class org.tensorflow.op.DataOps: The IteratorV2 operation
Iterator - Class in org.tensorflow.op.data: The IteratorV2 operation
Iterator(Operation) - Constructor for class org.tensorflow.op.data.Iterator
Iterator.Inputs - Class in org.tensorflow.op.data
iteratorFromStringHandle(Operand, List, IteratorFromStringHandle.Options...) - Method in class org.tensorflow.op.DataOps: The IteratorFromStringHandleV2 operation
IteratorFromStringHandle - Class in org.tensorflow.op.data: The IteratorFromStringHandleV2 operation
IteratorFromStringHandle(Operation) - Constructor for class org.tensorflow.op.data.IteratorFromStringHandle
IteratorFromStringHandle.Inputs - Class in org.tensorflow.op.data
IteratorFromStringHandle.Options - Class in org.tensorflow.op.data: Optional attributes for IteratorFromStringHandle
iteratorGetDevice(Operand) - Method in class org.tensorflow.op.DataExperimentalOps: Returns the name of the device on which resource has been placed.
iteratorGetDevice(Operand) - Method in class org.tensorflow.op.DataOps: Returns the name of the device on which resource has been placed.
IteratorGetDevice - Class in org.tensorflow.op.data.experimental: Returns the name of the device on which resource has been placed.
IteratorGetDevice - Class in org.tensorflow.op.data: Returns the name of the device on which resource has been placed.
IteratorGetDevice(Operation) - Constructor for class org.tensorflow.op.data.experimental.IteratorGetDevice
IteratorGetDevice(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetDevice
IteratorGetDevice.Inputs - Class in org.tensorflow.op.data.experimental
IteratorGetDevice.Inputs - Class in org.tensorflow.op.data
IteratorGetModelProto - Class in org.tensorflow.op.data: Returns the serialized model proto of an iterator resource.
IteratorGetModelProto(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetModelProto
IteratorGetModelProto.Inputs - Class in org.tensorflow.op.data
iteratorGetNext(Operand, List, List) - Method in class org.tensorflow.op.DataOps: Gets the next output from the given iterator .
IteratorGetNext - Class in org.tensorflow.op.data: Gets the next output from the given iterator .
IteratorGetNext(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetNext
IteratorGetNext.Inputs - Class in org.tensorflow.op.data
iteratorGetNextAsOptional(Operand, List, List) - Method in class org.tensorflow.op.DataOps: Gets the next output from the given iterator as an Optional variant.
IteratorGetNextAsOptional - Class in org.tensorflow.op.data: Gets the next output from the given iterator as an Optional variant.
IteratorGetNextAsOptional(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetNextAsOptional
IteratorGetNextAsOptional.Inputs - Class in org.tensorflow.op.data
iteratorGetNextSync(Operand, List, List) - Method in class org.tensorflow.op.DataOps: Gets the next output from the given iterator.
IteratorGetNextSync - Class in org.tensorflow.op.data: Gets the next output from the given iterator.
IteratorGetNextSync(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetNextSync
IteratorGetNextSync.Inputs - Class in org.tensorflow.op.data
iterators - Variable in class org.tensorflow.op.data.DeleteMultiDeviceIterator.Inputs: A list of iterator handles (unused).
iteratorToStringHandle(Operand) - Method in class org.tensorflow.op.DataOps: Converts the given resource_handle representing an iterator to a string.
IteratorToStringHandle - Class in org.tensorflow.op.data: Converts the given resource_handle representing an iterator to a string.
IteratorToStringHandle(Operation) - Constructor for class org.tensorflow.op.data.IteratorToStringHandle
IteratorToStringHandle.Inputs - Class in org.tensorflow.op.data
iterId() - Method in class org.tensorflow.op.tpu.GlobalIterId: Gets iterId.
ITERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BenchmarkEntry

J

JIT - Enum constant in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource: JIT = 2;
JIT_COMPILE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
JIT_VALUE - Static variable in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource: JIT = 2;
job() - Method in class org.tensorflow.DeviceSpec
job(String) - Method in class org.tensorflow.DeviceSpec.Builder
JOB_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ClusterDef
JOB_GC_CHECK_INTERVAL_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
JOB_GC_TIMEOUT_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
JOB_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ServerDef
JobDef - Class in org.tensorflow.proto: Defines a single job in a TensorFlow cluster.
JobDef.Builder - Class in org.tensorflow.proto: Defines a single job in a TensorFlow cluster.
JobDefOrBuilder - Interface in org.tensorflow.proto
JobDeviceFilters - Class in org.tensorflow.proto: Defines the device filters for tasks in a job.
JobDeviceFilters.Builder - Class in org.tensorflow.proto: Defines the device filters for tasks in a job.
JobDeviceFiltersOrBuilder - Interface in org.tensorflow.proto
jobName - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The jobName input
JOBS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ClusterDeviceFilters
join() - Method in class org.tensorflow.Server: Blocks until the server has been successfully stopped.
join(Iterable, Join.Options...) - Method in class org.tensorflow.op.StringsOps: Joins the strings in the given list of string tensors into one tensor; with the given separator (default is an empty separator).
Join - Class in org.tensorflow.op.strings: Joins the strings in the given list of string tensors into one tensor; with the given separator (default is an empty separator).
Join(Operation) - Constructor for class org.tensorflow.op.strings.Join
Join.Inputs - Class in org.tensorflow.op.strings
Join.Options - Class in org.tensorflow.op.strings: Optional attributes for Join
jsonExamples - Variable in class org.tensorflow.op.io.DecodeJsonExample.Inputs: Each string is a JSON object serialized according to the JSON mapping of the Example proto.

K

k - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: Specifies the number of min/max-k.
k - Variable in class org.tensorflow.op.core.KthOrderStatistic.Inputs: The k attribute
k - Variable in class org.tensorflow.op.core.TopKUnique.Inputs: The k attribute
k - Variable in class org.tensorflow.op.core.TopKWithUnique.Inputs: The k attribute
k - Variable in class org.tensorflow.op.image.NearestNeighbors.Inputs: Number of nearest centers to return for each point.
k - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.linalg.MatrixDiagPart.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.nn.InTopK.Inputs: Number of top elements to look at for computing precision.
k - Variable in class org.tensorflow.op.nn.TopK.Inputs: 0-D.
KEEP_CHECKPOINT_EVERY_N_HOURS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SaverDef
keepDims - Variable in class org.tensorflow.op.core.All.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.Any.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.Max.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.Min.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.Prod.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.ReduceAll.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.ReduceAny.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.Sum.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.math.Mean.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.strings.ReduceJoin.Inputs: If True, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.All: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.All.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Any: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Any.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Max: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Max.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Min: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Min.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Prod: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Prod.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceAll: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceAll.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceAny: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceAny.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceMax: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceMax.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceMin: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceMin.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceProd: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceProd.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceSum: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceSum.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Sum: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Sum.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.linalg.EuclideanNorm: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.linalg.EuclideanNorm.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.math.Mean: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.math.Mean.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceMax: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceMax.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceSum: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceSum.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.strings.ReduceJoin: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.strings.ReduceJoin.Options: Sets the keepDims option.
KERNEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.KernelList
KERNEL_INPUT_FEATURE_DIMENSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
KERNEL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogTensorAllocation
KERNEL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogTensorOutput
KERNEL_OUTPUT_FEATURE_DIMENSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
KERNEL_SPATIAL_DIMENSIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
KERNEL_TRACKER_MAX_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
KERNEL_TRACKER_MAX_INTERVAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
KERNEL_TRACKER_MAX_PENDING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
KernelDef - Class in org.tensorflow.proto: Protobuf type tensorflow.KernelDef
KernelDef.AttrConstraint - Class in org.tensorflow.proto: Protobuf type tensorflow.KernelDef.AttrConstraint
KernelDef.AttrConstraint.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.KernelDef.AttrConstraint
KernelDef.AttrConstraintOrBuilder - Interface in org.tensorflow.proto
KernelDef.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.KernelDef
KernelDefOrBuilder - Interface in org.tensorflow.proto
KernelDefProtos - Class in org.tensorflow.proto
KernelList - Class in org.tensorflow.proto: A collection of KernelDefs
KernelList.Builder - Class in org.tensorflow.proto: A collection of KernelDefs
KernelListOrBuilder - Interface in org.tensorflow.proto
kernelType - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The kernelType attribute
kernelType - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The kernelType attribute
kernelType(String) - Static method in class org.tensorflow.op.image.ScaleAndTranslate: Sets the kernelType option.
kernelType(String) - Method in class org.tensorflow.op.image.ScaleAndTranslate.Options: Sets the kernelType option.
kernelType(String) - Static method in class org.tensorflow.op.image.ScaleAndTranslateGrad: Sets the kernelType option.
kernelType(String) - Method in class org.tensorflow.op.image.ScaleAndTranslateGrad.Options: Sets the kernelType option.
key - Variable in class org.tensorflow.op.core.FileSystemSetConfiguration.Inputs: The name of the configuration option.
key - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The key input
key - Variable in class org.tensorflow.op.core.MapStage.Inputs: int64
key - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The key input
key - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The key input
key - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: int64
key - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The key input
key - Variable in class org.tensorflow.op.core.StochasticCastToInt.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.core.TensorMapErase.Inputs: The key input
key - Variable in class org.tensorflow.op.core.TensorMapHasKey.Inputs: The key input
key - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The key input
key - Variable in class org.tensorflow.op.core.TensorMapLookup.Inputs: The key input
key - Variable in class org.tensorflow.op.random.experimental.StatelessShuffle.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.strings.ToHashBucketStrong.Inputs: The key used to seed the hash function, passed as a list of two uint64 elements.
key - Variable in class org.tensorflow.op.tpu.Execute.Inputs: The key input
key - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The key input
key - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: A unique identifier for this region used to match up host transfers.
key - Variable in class org.tensorflow.op.xla.XlaRecvFromHost.Inputs: The key attribute
key - Variable in class org.tensorflow.op.xla.XlaSendToHost.Inputs: The key attribute
key() - Method in class org.tensorflow.op.core.MapUnstageNoKey: Gets key.
key() - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Gets key.
key() - Method in class org.tensorflow.op.io.ReaderRead: Gets key.
key() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounter: Gets key.
key() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: Gets key.
key() - Method in class org.tensorflow.Signature: Return the key of this signature
key(String) - Method in class org.tensorflow.Signature.Builder: Sets the unique key of this signature.
KEY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.PairValue
keyDtype - Variable in class org.tensorflow.op.core.AnonymousHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.AnonymousMutableHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.HashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.TensorMapErase.Inputs: The keyDtype attribute
keyDtype - Variable in class org.tensorflow.op.core.TensorMapHasKey.Inputs: The keyDtype attribute
keyDtype - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The keyDtype attribute
keyDtype - Variable in class org.tensorflow.op.core.TensorMapLookup.Inputs: The keyDtype attribute
keyDtype - Variable in class org.tensorflow.op.core.TensorMapStackKeys.Inputs: The keyDtype attribute
keyFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for key_func.
keyFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The keyFuncOtherArguments input
keyFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for key_func.
keyFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The keyFuncOtherArguments input
keyIndex - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Column index in a line to get the table key values from.
keys - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: A one-dimensional tensor of keys, with length n.
keys - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: Keys of type Tkey.
keys - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: Any shape.
keys - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: Any shape.
keys - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: Any shape.
keys - Variable in class org.tensorflow.op.core.LookupTableRemove.Inputs: Any shape.
keys() - Method in class org.tensorflow.op.core.BarrierTakeMany: Gets keys.
keys() - Method in class org.tensorflow.op.core.LookupTableExport: Gets keys.
keys() - Method in class org.tensorflow.op.core.TensorMapStackKeys: Gets keys.
keys() - Method in class org.tensorflow.op.io.ReaderReadUpTo: Gets keys.
keySet() - Method in class org.tensorflow.Result: Gets the set containing all the tensor names.
KIND_NOT_SET - Enum constant in enum org.tensorflow.proto.CollectionDef.KindCase
KIND_NOT_SET - Enum constant in enum org.tensorflow.proto.CommitId.KindCase
KIND_NOT_SET - Enum constant in enum org.tensorflow.proto.EntryValue.KindCase
KIND_NOT_SET - Enum constant in enum org.tensorflow.proto.Feature.KindCase
KIND_NOT_SET - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase
KIND_NOT_SET - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
KLDivergence - Class in org.tensorflow.framework.losses: Computes Kullback-Leibler divergence loss between labels and predictions.
KLDivergence<T> - Class in org.tensorflow.framework.metrics: A metric that computes the Kullback-Leibler divergence loss metric between labels and predictions.
KLDivergence() - Constructor for class org.tensorflow.framework.losses.KLDivergence: Creates a Kullback Leibler Divergence AbstractLoss using Class.getSimpleName() as the loss name and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
KLDivergence(long, Class) - Constructor for class org.tensorflow.framework.metrics.KLDivergence: Creates a KLDivergence metric using Class.getSimpleName() for the metric name.
KLDivergence(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.KLDivergence: Creates a KLDivergence metric
KLDivergence(String, Reduction) - Constructor for class org.tensorflow.framework.losses.KLDivergence: Creates a Kullback Leibler Divergence AbstractLoss
KLDivergence(Reduction) - Constructor for class org.tensorflow.framework.losses.KLDivergence: Creates a Kullback Leibler Divergence AbstractLoss AbstractLoss using Class.getSimpleName() as the loss name
kMC2ChainInitialization(Operand, Operand) - Method in class org.tensorflow.op.ClusterOps: Returns the index of a data point that should be added to the seed set.
KMC2ChainInitialization - Class in org.tensorflow.op.cluster: Returns the index of a data point that should be added to the seed set.
KMC2ChainInitialization(Operation) - Constructor for class org.tensorflow.op.cluster.KMC2ChainInitialization
KMC2ChainInitialization.Inputs - Class in org.tensorflow.op.cluster
kmeansPlusPlusInitialization(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.ClusterOps: Selects num_to_sample rows of input using the KMeans++ criterion.
KmeansPlusPlusInitialization - Class in org.tensorflow.op.cluster: Selects num_to_sample rows of input using the KMeans++ criterion.
KmeansPlusPlusInitialization(Operation) - Constructor for class org.tensorflow.op.cluster.KmeansPlusPlusInitialization
KmeansPlusPlusInitialization.Inputs - Class in org.tensorflow.op.cluster
KNOWN_RATIO - Enum constant in enum org.tensorflow.proto.data.model.Model.NodeClass: KNOWN_RATIO = 3;
KNOWN_RATIO_VALUE - Static variable in enum org.tensorflow.proto.data.model.Model.NodeClass: KNOWN_RATIO = 3;
ksize - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: The size of the sliding window for each dimension of value.
ksize - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: The size of the sliding window for each dimension of the input.
ksize - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The size of the window for each dimension of the input tensor.
ksizes - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: The size of the sliding window for each dimension of input.
ksizes - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: The size of the sliding window for each dimension of images.
kthOrderStatistic(Operand, Long) - Method in class org.tensorflow.op.Ops: Computes the Kth order statistic of a data set.
KthOrderStatistic - Class in org.tensorflow.op.core: Computes the Kth order statistic of a data set.
KthOrderStatistic(Operation) - Constructor for class org.tensorflow.op.core.KthOrderStatistic
KthOrderStatistic.Inputs - Class in org.tensorflow.op.core
kullbackLeiblerDivergence(Ops, Operand, Operand) - Static method in class org.tensorflow.framework.losses.Losses: Computes the Kullback-Leibler divergence loss between labels and predictions.

L

l - Variable in class org.tensorflow.op.linalg.BatchCholeskyGrad.Inputs: The l input
l - Variable in class org.tensorflow.op.linalg.CholeskyGrad.Inputs: Output of batch Cholesky algorithm l = cholesky(A).
L0 - Enum constant in enum org.tensorflow.proto.OptimizerOptions.Level: No optimizations
L0_VALUE - Static variable in enum org.tensorflow.proto.OptimizerOptions.Level: No optimizations
l1 - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Symmetric l1 regularization strength.
l1 - Variable in class org.tensorflow.op.train.SdcaShrinkL1.Inputs: Symmetric l1 regularization strength.
l1 - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: L1 regularization.
L1 - Class in org.tensorflow.framework.regularizers: A regularizer that applies an L1 or Lasso(least absolute shrinkage and selection operator) Regression, regularization penalty.
L1 - Enum constant in enum org.tensorflow.proto.OptimizerOptions.Level: L1 is the default level.
L1() - Constructor for class org.tensorflow.framework.regularizers.L1: Create a regularizer that applies an L1 regularization penalty of AbstractRegularizer.DEFAULT_REGULARIZATION_PENALTY and a name based on the class name.
L1(float) - Constructor for class org.tensorflow.framework.regularizers.L1: Create a regularizer that applies an L1 regularization penalty and a name based on the class name.
L1(String) - Constructor for class org.tensorflow.framework.regularizers.L1: Create a regularizer that applies an L1 regularization penalty of AbstractRegularizer.DEFAULT_REGULARIZATION_PENALTY
L1(String, float) - Constructor for class org.tensorflow.framework.regularizers.L1: Create a regularizer that applies an L1 regularization penalty
L1_CACHE_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
L1_STRENGTH_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.AdaGradDA
L1_VALUE - Static variable in enum org.tensorflow.proto.OptimizerOptions.Level: L1 is the default level.
L1L2 - Class in org.tensorflow.framework.regularizers: A regularizer that applies both L1 and L2 regularization penalties.
L1L2() - Constructor for class org.tensorflow.framework.regularizers.L1L2: Creates an L1L2 regularizer with no l1 or l2 penalty with zero penalty
L1L2(float, float) - Constructor for class org.tensorflow.framework.regularizers.L1L2: Creates an L1L2 regularizer
L1L2(String, float, float) - Constructor for class org.tensorflow.framework.regularizers.L1L2: Creates an L1L2 regularizer
l1RegularizationStrength - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The l1RegularizationStrength attribute
l1RegularizationStrength - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The l1RegularizationStrength attribute
l1RegularizationStrength - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The l1RegularizationStrength attribute
L1STRENGTH_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Ftrl
l2 - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: L2 shrinkage regularization.
l2 - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: L2 shrinkage regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: L2 shrinkage regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Symmetric l2 regularization strength.
l2 - Variable in class org.tensorflow.op.train.SdcaShrinkL1.Inputs: Symmetric l2 regularization strength.
l2 - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: L2 shrinkage regularization.
l2 - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: L2 regularization.
L2 - Class in org.tensorflow.framework.regularizers: A regularizer that applies a L2 (Ridge Regression) regularization penalty.
L2() - Constructor for class org.tensorflow.framework.regularizers.L2: Create a regularizer that applies an L2 regularization penalty of AbstractRegularizer.DEFAULT_REGULARIZATION_PENALTY and a name based on the class name.
L2(float) - Constructor for class org.tensorflow.framework.regularizers.L2: Create a regularizer that applies an L1 regularization penalty and a name based on the class name.
L2(String) - Constructor for class org.tensorflow.framework.regularizers.L2: Create a regularizer that applies an L2 regularization penalty of AbstractRegularizer.DEFAULT_REGULARIZATION_PENALTY
L2(String, float) - Constructor for class org.tensorflow.framework.regularizers.L2: Create a regularizer that applies an L1 regularization penalty
L2_CACHE_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
L2_SHRINKAGE_REGULARIZATION_STRENGTH_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Ftrl
L2_STRENGTH_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.AdaGradDA
l2Loss(Operand) - Method in class org.tensorflow.op.NnOps: L2 Loss.
L2Loss<T> - Class in org.tensorflow.op.nn: L2 Loss.
L2Loss(Operation) - Constructor for class org.tensorflow.op.nn.L2Loss
L2Loss.Inputs<T> - Class in org.tensorflow.op.nn
l2Normalize(Ops, Operand, int[]) - Static method in class org.tensorflow.framework.losses.Losses: Normalizes along dimension axis using an L2 norm.
l2Normalize(Scope, Operand, int[]) - Static method in class org.tensorflow.framework.op.math.L2Normalize: Normalizes along dimension axis using an L2 norm.
l2Normalize(Operand, int[]) - Method in class org.tensorflow.framework.op.MathOps: Normalizes along dimension axis using an L2 norm.
L2Normalize - Class in org.tensorflow.framework.op.math: L2 Normalization Operations
L2Normalize() - Constructor for class org.tensorflow.framework.op.math.L2Normalize
l2RegularizationStrength - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The l2RegularizationStrength input
l2RegularizationStrength - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The l2RegularizationStrength attribute
l2RegularizationStrength - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The l2RegularizationStrength attribute
l2Regularizer - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The l2Regularizer input
l2Regularizer - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: Scalar tensor.
l2Shrinkage - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: The l2Shrinkage input
l2Shrinkage - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: The l2Shrinkage input
l2Shrinkage - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The l2Shrinkage input
l2Shrinkage - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The l2Shrinkage input
L2STRENGTH_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Ftrl
L3_CACHE_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
LABEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.KernelDef
LABEL_SMOOTHING_DEFAULT - Static variable in class org.tensorflow.framework.losses.BinaryCrossentropy
LABEL_SMOOTHING_DEFAULT - Static variable in class org.tensorflow.framework.losses.CategoricalCrossentropy
labels - Variable in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits.Inputs: batch_size x num_classes matrix The caller must ensure that each batch of labels represents a valid probability distribution.
labels - Variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs: batch_size vector with values in [0, num_classes).
labels - Variable in class org.tensorflow.op.train.NegTrain.Inputs: A vector of word ids.
labels() - Method in class org.tensorflow.op.core.Skipgram: Gets labels.
labelsIndices - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: The indices of a SparseTensor<int32, 2>.
labelsIndices - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: The indices of a SparseTensor<int32, 2>.
labelsValues - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: The values (labels) associated with the given batch and time.
labelsValues - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: The values (labels) associated with the given batch and time.
lam - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The rate of the Poisson distribution.
large() - Method in class org.tensorflow.internal.c_api.TF_TString_Union
large(TF_TString_Large) - Method in class org.tensorflow.internal.c_api.TF_TString_Union
LARGEST_ALLOC_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
LAST_MODIFIED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedSourceFile
lastHitStep - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: Value of last_hit_step used in the frequency estimator optimization algorithm.
lastHitStep() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Gets lastHitStep.
latencyStatsDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Records the latency of producing input_dataset elements in a StatsAggregator.
latencyStatsDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: Records the latency of producing input_dataset elements in a StatsAggregator.
LatencyStatsDataset - Class in org.tensorflow.op.data.experimental: Records the latency of producing input_dataset elements in a StatsAggregator.
LatencyStatsDataset - Class in org.tensorflow.op.data: Records the latency of producing input_dataset elements in a StatsAggregator.
LatencyStatsDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.LatencyStatsDataset
LatencyStatsDataset(Operation) - Constructor for class org.tensorflow.op.data.LatencyStatsDataset
LatencyStatsDataset.Inputs - Class in org.tensorflow.op.data.experimental
LatencyStatsDataset.Inputs - Class in org.tensorflow.op.data
layout - Variable in class org.tensorflow.op.core.Relayout.Inputs: The layout attribute
layout - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: A vector holding the requested layout in minor-to-major sequence.
layout - Variable in class org.tensorflow.op.tpu.Prelinearize.Inputs: A vector holding the requested layout in minor-to-major sequence.
layout(Long...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Sets the layout option.
layout(Long...) - Method in class org.tensorflow.op.tpu.InfeedEnqueue.Options: Sets the layout option.
layout(Long...) - Static method in class org.tensorflow.op.tpu.Prelinearize: Sets the layout option.
layout(Long...) - Method in class org.tensorflow.op.tpu.Prelinearize.Options: Sets the layout option.
layout(List) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Sets the layout option.
layout(List) - Method in class org.tensorflow.op.tpu.InfeedEnqueue.Options: Sets the layout option.
layout(List) - Static method in class org.tensorflow.op.tpu.Prelinearize: Sets the layout option.
layout(List) - Method in class org.tensorflow.op.tpu.Prelinearize.Options: Sets the layout option.
LAYOUT_OPTIMIZER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
layoutInput - Variable in class org.tensorflow.op.core.RelayoutLike.Inputs: The layoutInput input
layouts - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: A vector holding the requested layout in minor-to-major sequence for all the tuple shapes, in the order the shapes appear in the "shapes" input.
layouts - Variable in class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs: A vector holding the requested layout in minor-to-major sequence for all the tuple shapes in the order the shapes appear in the "shapes" input.
layouts(Long...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueueTuple: Sets the layouts option.
layouts(Long...) - Method in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Options: Sets the layouts option.
layouts(Long...) - Static method in class org.tensorflow.op.tpu.PrelinearizeTuple: Sets the layouts option.
layouts(Long...) - Method in class org.tensorflow.op.tpu.PrelinearizeTuple.Options: Sets the layouts option.
layouts(List) - Static method in class org.tensorflow.op.tpu.InfeedEnqueueTuple: Sets the layouts option.
layouts(List) - Method in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Options: Sets the layouts option.
layouts(List) - Static method in class org.tensorflow.op.tpu.PrelinearizeTuple: Sets the layouts option.
layouts(List) - Method in class org.tensorflow.op.tpu.PrelinearizeTuple.Options: Sets the layouts option.
leadingDims - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The leadingDims input
leakyRelu(Operand, LeakyRelu.Options...) - Method in class org.tensorflow.op.NnOps: Computes rectified linear: max(features, features * alpha).
LeakyRelu<T> - Class in org.tensorflow.op.nn: Computes rectified linear: max(features, features * alpha).
LeakyRelu(Operation) - Constructor for class org.tensorflow.op.nn.LeakyRelu
LeakyRelu.Inputs<T> - Class in org.tensorflow.op.nn
LeakyRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for LeakyRelu
leakyReluGrad(Operand, Operand, LeakyReluGrad.Options...) - Method in class org.tensorflow.op.DataOps: Computes rectified linear gradients for a LeakyRelu operation.
LeakyReluGrad<T> - Class in org.tensorflow.op.data: Computes rectified linear gradients for a LeakyRelu operation.
LeakyReluGrad(Operation) - Constructor for class org.tensorflow.op.data.LeakyReluGrad
LeakyReluGrad.Inputs<T> - Class in org.tensorflow.op.data
LeakyReluGrad.Options - Class in org.tensorflow.op.data: Optional attributes for LeakyReluGrad
learnedUnigramCandidateSampler(Operand, Long, Long, Boolean, Long, LearnedUnigramCandidateSampler.Options...) - Method in class org.tensorflow.op.NnOps: Generates labels for candidate sampling with a learned unigram distribution.
LearnedUnigramCandidateSampler - Class in org.tensorflow.op.nn: Generates labels for candidate sampling with a learned unigram distribution.
LearnedUnigramCandidateSampler(Operation) - Constructor for class org.tensorflow.op.nn.LearnedUnigramCandidateSampler
LearnedUnigramCandidateSampler.Inputs - Class in org.tensorflow.op.nn
LearnedUnigramCandidateSampler.Options - Class in org.tensorflow.op.nn: Optional attributes for LearnedUnigramCandidateSampler
LEARNING_RATE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.AdaDelta
LEARNING_RATE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.AdaGrad
LEARNING_RATE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.AdaGradDA
LEARNING_RATE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Adam
LEARNING_RATE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Adamax
LEARNING_RATE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Ftrl
LEARNING_RATE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.GradientDescent
LEARNING_RATE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Momentum
LEARNING_RATE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Nadam
LEARNING_RATE_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.RMSProp
LEARNING_RATE_POWER_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Ftrl
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseCoreSgd.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The learningRate input
learningRatePower - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The learningRatePower input
learningRatePower - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The learningRatePower attribute
learningRatePower - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The learningRatePower attribute
learningRates - Variable in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Inputs: A TensorList of float32 scalars, one for each dynamic learning rate tag: see the comments in //third_party/tensorflow/core/protobuf/tpu/optimization_parameters.proto.
learningRates - Variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs: A TensorList of learning rates used for updating the embedding tables via the optimizer.
LeCun<T> - Class in org.tensorflow.framework.initializers: LeCun normal initializer.
LeCun(VarianceScaling.Distribution, long) - Constructor for class org.tensorflow.framework.initializers.LeCun: Creates a LeCunNormal Initializer
leftPad - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The string to use to pad the left side of the ngram sequence.
leftShift(Operand, Operand) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise left-shift of x and y.
LeftShift<T> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise left-shift of x and y.
LeftShift(Operation) - Constructor for class org.tensorflow.op.bitwise.LeftShift
LeftShift.Inputs<T> - Class in org.tensorflow.op.bitwise
LEGACY - Enum constant in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion: Internal legacy format.
LEGACY_VALUE - Static variable in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion: Internal legacy format.
legacyAutotune - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The legacyAutotune attribute
legacyAutotune(Boolean) - Static method in class org.tensorflow.op.data.PrefetchDataset: Sets the legacyAutotune option.
legacyAutotune(Boolean) - Method in class org.tensorflow.op.data.PrefetchDataset.Options: Sets the legacyAutotune option.
legacyParallelInterleaveDataset(Operand, Iterable, Operand, Operand, Operand, Operand, ConcreteFunction, List, List, LegacyParallelInterleaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
LegacyParallelInterleaveDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
LegacyParallelInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.LegacyParallelInterleaveDataset
LegacyParallelInterleaveDataset.Inputs - Class in org.tensorflow.op.data
LegacyParallelInterleaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for LegacyParallelInterleaveDataset
len - Variable in class org.tensorflow.op.strings.Substr.Inputs: Scalar defining the number of characters to include in each substring
len() - Method in class org.tensorflow.internal.c_api.TF_StringView
len(long) - Method in class org.tensorflow.internal.c_api.TF_StringView
length() - Method in class org.tensorflow.internal.c_api.TF_Buffer
length() - Method in class org.tensorflow.op.core.TensorListLength: Gets length.
length(long) - Method in class org.tensorflow.internal.c_api.TF_Buffer
LENGTH - Enum constant in enum org.tensorflow.proto.TensorSliceProto.Extent.HasLengthCase
LENGTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
LENGTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorSliceProto.Extent
LENGTH_FRAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Audio
lengths - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: The vector of lengths, how to split the rows of value into the TensorArray.
lengths - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The lengths input
lengths() - Method in class org.tensorflow.op.core.TensorArrayConcat: Gets lengths.
lengths() - Method in class org.tensorflow.op.core.TensorListConcat: Gets lengths.
less(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x < y) element-wise.
Less - Class in org.tensorflow.op.math: Returns the truth value of (x < y) element-wise.
Less(Operation) - Constructor for class org.tensorflow.op.math.Less
Less.Inputs<T> - Class in org.tensorflow.op.math
lessEqual(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x <= y) element-wise.
LessEqual - Class in org.tensorflow.op.math: Returns the truth value of (x <= y) element-wise.
LessEqual(Operation) - Constructor for class org.tensorflow.op.math.LessEqual
LessEqual.Inputs<T> - Class in org.tensorflow.op.math
LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.LogMessage: Deprecated.
lgamma(Operand) - Method in class org.tensorflow.op.MathOps: Computes the log of the absolute value of Gamma(x) element-wise.
Lgamma<T> - Class in org.tensorflow.op.math: Computes the log of the absolute value of Gamma(x) element-wise.
Lgamma(Operation) - Constructor for class org.tensorflow.op.math.Lgamma
Lgamma.Inputs<T> - Class in org.tensorflow.op.math
lhs - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: Must be a quantized tensor.
lhs - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: Must be a quantized tensor, rank >= 3.
lhs - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: Must be a non-quantized Tensor of Tlhs, rank >= 3.
lhs - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: Must be a 2D Tensor of Tin.
lhs - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: Must be a 2D Tensor of Tlhs.
lhsDilation - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The dilation factor to apply in each spatial dimension of lhs.
lhsDilation - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The dilation factor to apply in each spatial dimension of lhs.
lhsDilation(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the lhsDilation option.
lhsDilation(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the lhsDilation option.
lhsDilation(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the lhsDilation option.
lhsDilation(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the lhsDilation option.
lhsDilation(List) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the lhsDilation option.
lhsDilation(List) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the lhsDilation option.
lhsDilation(List) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the lhsDilation option.
lhsDilation(List) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the lhsDilation option.
lhsQuantizationAxis - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
lhsQuantizationAxis - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
lhsQuantizationAxis - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
lhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.math.UniformQuantizedAdd: Sets the lhsQuantizationAxis option.
lhsQuantizationAxis(Long) - Method in class org.tensorflow.op.math.UniformQuantizedAdd.Options: Sets the lhsQuantizationAxis option.
lhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the lhsQuantizationAxis option.
lhsQuantizationAxis(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the lhsQuantizationAxis option.
lhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformQuantizedDot: Sets the lhsQuantizationAxis option.
lhsQuantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformQuantizedDot.Options: Sets the lhsQuantizationAxis option.
lhsQuantizationMaxVal - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The max value of the quantized data stored in lhs.
lhsQuantizationMaxVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The max value of the quantized data stored in lhs.
lhsQuantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The max value of the quantized data stored in rhs.
lhsQuantizationMinVal - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The min value of the quantized data stored in lhs.
lhsQuantizationMinVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The min value of the quantized data stored in lhs.
lhsQuantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The min value of the quantized data stored in lhs.
lhsScales - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The float value(s) used as scale factors when quantizing the original data that lhs represents.
lhsScales - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The float value(s) used as scale factors when quantizing the original data that lhs represents.
lhsScales - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The float value(s) used as scale when quantizing original data that lhs represents.
lhsZeroPoints - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The int32 value(s) used as zero points when quantizing original data that lhs represents.
lhsZeroPoints - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The int32 value(s) used as zero points when quantizing original data that lhs represents.
lhsZeroPoints - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The int32 value(s) used as zero_point when quantizing original data that lhs represents.
LIBRARY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDef
limit - Variable in class org.tensorflow.op.core.CountUpTo.Inputs: If incrementing ref would bring it above limit, instead generates an 'OutOfRange' error.
limit - Variable in class org.tensorflow.op.core.For.Inputs: The upper bound.
limit - Variable in class org.tensorflow.op.core.Range.Inputs: 0-D (scalar).
limit - Variable in class org.tensorflow.op.core.ResourceCountUpTo.Inputs: If incrementing ref would bring it above limit, instead generates an 'OutOfRange' error.
limits - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The limits of each range.
linalg - Variable in class org.tensorflow.framework.op.FrameworkOps
linalg - Variable in class org.tensorflow.op.Ops
LinalgOps - Class in org.tensorflow.framework.op
LinalgOps - Class in org.tensorflow.op: An API for building linalg operations as Ops
LinalgSparseOps - Class in org.tensorflow.op: An API for building linalg.sparse operations as Ops
LINE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
linear - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Should be from a Variable().
linear - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Should be from a Variable().
linear - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Should be from a Variable().
linear - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Should be from a Variable().
linear - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The linear input
linear - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The linear input
linear - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The linear input
linear(Ops, Operand) - Static method in class org.tensorflow.framework.activations.Linear: Computes the linear activation function (pass-through).
Linear - Class in org.tensorflow.framework.activations: Linear activation function (pass-through).
Linear() - Constructor for class org.tensorflow.framework.activations.Linear: Creates a linear activation.
Linear(Map) - Constructor for class org.tensorflow.framework.activations.Linear: Creates a new Exponential from a configuration Map
LINEAR - Enum constant in enum org.tensorflow.framework.activations.Activations
LINEAR_ACCUMULATOR - Static variable in class org.tensorflow.framework.optimizers.Ftrl
linears - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: Value of linears used in the FTRL optimization algorithm.
linears() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Gets linears.
LINES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedSourceFile
LINES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XPlane
LINES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SourceFile
LINK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.LocalLinks
LINKAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.PlatformInfo
LINKS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceLocality
linSpace(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Generates values in an interval.
LinSpace<T> - Class in org.tensorflow.op.core: Generates values in an interval.
LinSpace(Operation) - Constructor for class org.tensorflow.op.core.LinSpace
LinSpace.Inputs<T> - Class in org.tensorflow.op.core
LIST - Enum constant in enum org.tensorflow.proto.AttrValue.ValueCase
LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue
list_size() - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
list_size(long) - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
LIST_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
LIST_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
listDataset(Iterable, List, List, ListDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits each of tensors once.
ListDataset - Class in org.tensorflow.op.data: Creates a dataset that emits each of tensors once.
ListDataset(Operation) - Constructor for class org.tensorflow.op.data.ListDataset
ListDataset.Inputs - Class in org.tensorflow.op.data
ListDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ListDataset
Listener_BytePointer - Class in org.tensorflow.internal.c_api
Listener_BytePointer() - Constructor for class org.tensorflow.internal.c_api.Listener_BytePointer
Listener_BytePointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.Listener_BytePointer: Pointer cast constructor.
Listener_String - Class in org.tensorflow.internal.c_api
Listener_String() - Constructor for class org.tensorflow.internal.c_api.Listener_String
Listener_String(Pointer) - Constructor for class org.tensorflow.internal.c_api.Listener_String: Pointer cast constructor.
listSize - Variable in class org.tensorflow.op.AttributeMetadata: The size of the list if this attribute is a list, undefined otherwise.
listSnapshotChunksDataset(Operand, List, List) - Method in class org.tensorflow.op.DataOps: The ListSnapshotChunksDataset operation
ListSnapshotChunksDataset - Class in org.tensorflow.op.data: The ListSnapshotChunksDataset operation
ListSnapshotChunksDataset(Operation) - Constructor for class org.tensorflow.op.data.ListSnapshotChunksDataset
ListSnapshotChunksDataset.Inputs - Class in org.tensorflow.op.data
LITTLE - Enum constant in enum org.tensorflow.proto.BundleHeaderProto.Endianness: LITTLE = 0;
LITTLE_VALUE - Static variable in enum org.tensorflow.proto.BundleHeaderProto.Endianness: LITTLE = 0;
littleEndian - Variable in class org.tensorflow.op.io.DecodePaddedRaw.Inputs: Whether the input input_bytes is in little-endian order.
littleEndian - Variable in class org.tensorflow.op.io.DecodeRaw.Inputs: Whether the input bytes are in little-endian order.
littleEndian(Boolean) - Static method in class org.tensorflow.op.io.DecodePaddedRaw: Sets the littleEndian option.
littleEndian(Boolean) - Method in class org.tensorflow.op.io.DecodePaddedRaw.Options: Sets the littleEndian option.
littleEndian(Boolean) - Static method in class org.tensorflow.op.io.DecodeRaw: Sets the littleEndian option.
littleEndian(Boolean) - Method in class org.tensorflow.op.io.DecodeRaw.Options: Sets the littleEndian option.
LIVE_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocatorMemoryUsed
lmdbDataset(Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalLMDBDataset operation
lMDBDataset(Operand, List, List) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits the key-value pairs in one or more LMDB files.
LmdbDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalLMDBDataset operation
LmdbDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.LmdbDataset
LMDBDataset - Class in org.tensorflow.op.data: Creates a dataset that emits the key-value pairs in one or more LMDB files.
LMDBDataset(Operation) - Constructor for class org.tensorflow.op.data.LMDBDataset
LmdbDataset.Inputs - Class in org.tensorflow.op.data.experimental
LMDBDataset.Inputs - Class in org.tensorflow.op.data
lmdbReader(LmdbReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the records from a LMDB file.
LmdbReader - Class in org.tensorflow.op.io: A Reader that outputs the records from a LMDB file.
LmdbReader(Operation) - Constructor for class org.tensorflow.op.io.LmdbReader
LmdbReader.Inputs - Class in org.tensorflow.op.io
LmdbReader.Options - Class in org.tensorflow.op.io: Optional attributes for LmdbReader
load() - Static method in class org.tensorflow.internal.c_api.TFJ_RuntimeLibrary
load() - Method in class org.tensorflow.SavedModelBundle.Loader: Load a SavedModelBundle with the configured options.
load(String) - Static method in class org.tensorflow.SavedModelBundle: Load a saved model from an export directory.
load(String, String...) - Static method in class org.tensorflow.SavedModelBundle: Load a saved model from an export directory.
loadAllTPUEmbeddingParameters(Iterable, Iterable, Iterable, Iterable, Iterable, Iterable, Iterable, Iterable, String, Long, Long) - Method in class org.tensorflow.op.TpuOps: An op that loads optimization parameters into embedding memory.
LoadAllTPUEmbeddingParameters - Class in org.tensorflow.op.tpu: An op that loads optimization parameters into embedding memory.
LoadAllTPUEmbeddingParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters
LoadAllTPUEmbeddingParameters.Inputs - Class in org.tensorflow.op.tpu
loadAndRemapMatrix(Operand, Operand, Operand, Operand, Operand, Long, Long, LoadAndRemapMatrix.Options...) - Method in class org.tensorflow.op.LinalgOps: Loads a 2-D (matrix) Tensor with name old_tensor_name from the checkpoint at ckpt_path and potentially reorders its rows and columns using the specified remappings.
LoadAndRemapMatrix - Class in org.tensorflow.op.linalg: Loads a 2-D (matrix) Tensor with name old_tensor_name from the checkpoint at ckpt_path and potentially reorders its rows and columns using the specified remappings.
LoadAndRemapMatrix(Operation) - Constructor for class org.tensorflow.op.linalg.LoadAndRemapMatrix
LoadAndRemapMatrix.Inputs - Class in org.tensorflow.op.linalg
LoadAndRemapMatrix.Options - Class in org.tensorflow.op.linalg: Optional attributes for LoadAndRemapMatrix
loadDataset(Operand, Iterable, List, List, ConcreteFunction, LoadDataset.Options...) - Method in class org.tensorflow.op.DataOps: The LoadDataset operation
LoadDataset - Class in org.tensorflow.op.data: The LoadDataset operation
LoadDataset(Operation) - Constructor for class org.tensorflow.op.data.LoadDataset
LoadDataset.Inputs - Class in org.tensorflow.op.data
LoadDataset.Options - Class in org.tensorflow.op.data: Optional attributes for LoadDataset
loader(String) - Static method in class org.tensorflow.SavedModelBundle: Load a saved model.
loadLibrary(String) - Static method in class org.tensorflow.TensorFlow: Load the dynamic library in filename and register the operations and kernels present in that library.
loadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, String, String[], TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.AbstractTF_Session: Calls TF_LoadSessionFromSavedModel(), and registers a deallocator.
loadTPUEmbeddingAdadeltaParameters(Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingAdadeltaParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load Adadelta embedding parameters.
LoadTPUEmbeddingAdadeltaParameters - Class in org.tensorflow.op.tpu: Load Adadelta embedding parameters.
LoadTPUEmbeddingAdadeltaParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters
LoadTPUEmbeddingAdadeltaParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingAdadeltaParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingAdadeltaParameters
loadTPUEmbeddingAdagradMomentumParameters(Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingAdagradMomentumParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load Adagrad Momentum embedding parameters.
LoadTPUEmbeddingAdagradMomentumParameters - Class in org.tensorflow.op.tpu: Load Adagrad Momentum embedding parameters.
LoadTPUEmbeddingAdagradMomentumParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters
LoadTPUEmbeddingAdagradMomentumParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingAdagradMomentumParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingAdagradMomentumParameters
loadTPUEmbeddingAdagradParameters(Operand, Operand, Long, Long, LoadTPUEmbeddingAdagradParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load Adagrad embedding parameters.
LoadTPUEmbeddingAdagradParameters - Class in org.tensorflow.op.tpu: Load Adagrad embedding parameters.
LoadTPUEmbeddingAdagradParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters
LoadTPUEmbeddingAdagradParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingAdagradParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingAdagradParameters
loadTPUEmbeddingADAMParameters(Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingADAMParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load ADAM embedding parameters.
LoadTPUEmbeddingADAMParameters - Class in org.tensorflow.op.tpu: Load ADAM embedding parameters.
LoadTPUEmbeddingADAMParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters
LoadTPUEmbeddingADAMParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingADAMParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingADAMParameters
loadTPUEmbeddingCenteredRMSPropParameters(Operand, Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingCenteredRMSPropParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load centered RMSProp embedding parameters.
LoadTPUEmbeddingCenteredRMSPropParameters - Class in org.tensorflow.op.tpu: Load centered RMSProp embedding parameters.
LoadTPUEmbeddingCenteredRMSPropParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters
LoadTPUEmbeddingCenteredRMSPropParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingCenteredRMSPropParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingCenteredRMSPropParameters
loadTPUEmbeddingFrequencyEstimatorParameters(Operand, Operand, Long, Long, LoadTPUEmbeddingFrequencyEstimatorParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load frequency estimator embedding parameters.
LoadTPUEmbeddingFrequencyEstimatorParameters - Class in org.tensorflow.op.tpu: Load frequency estimator embedding parameters.
LoadTPUEmbeddingFrequencyEstimatorParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters
LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingFrequencyEstimatorParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingFrequencyEstimatorParameters
loadTPUEmbeddingFTRLParameters(Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingFTRLParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load FTRL embedding parameters.
LoadTPUEmbeddingFTRLParameters - Class in org.tensorflow.op.tpu: Load FTRL embedding parameters.
LoadTPUEmbeddingFTRLParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters
LoadTPUEmbeddingFTRLParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingFTRLParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingFTRLParameters
loadTPUEmbeddingMDLAdagradLightParameters(Operand, Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingMDLAdagradLightParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load MDL Adagrad Light embedding parameters.
LoadTPUEmbeddingMDLAdagradLightParameters - Class in org.tensorflow.op.tpu: Load MDL Adagrad Light embedding parameters.
LoadTPUEmbeddingMDLAdagradLightParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters
LoadTPUEmbeddingMDLAdagradLightParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingMDLAdagradLightParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingMDLAdagradLightParameters
loadTPUEmbeddingMomentumParameters(Operand, Operand, Long, Long, LoadTPUEmbeddingMomentumParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load Momentum embedding parameters.
LoadTPUEmbeddingMomentumParameters - Class in org.tensorflow.op.tpu: Load Momentum embedding parameters.
LoadTPUEmbeddingMomentumParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters
LoadTPUEmbeddingMomentumParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingMomentumParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingMomentumParameters
loadTPUEmbeddingProximalAdagradParameters(Operand, Operand, Long, Long, LoadTPUEmbeddingProximalAdagradParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load proximal Adagrad embedding parameters.
LoadTPUEmbeddingProximalAdagradParameters - Class in org.tensorflow.op.tpu: Load proximal Adagrad embedding parameters.
LoadTPUEmbeddingProximalAdagradParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters
LoadTPUEmbeddingProximalAdagradParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingProximalAdagradParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingProximalAdagradParameters
loadTPUEmbeddingProximalYogiParameters(Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingProximalYogiParameters.Options...) - Method in class org.tensorflow.op.TpuOps: The LoadTPUEmbeddingProximalYogiParameters operation
LoadTPUEmbeddingProximalYogiParameters - Class in org.tensorflow.op.tpu: The LoadTPUEmbeddingProximalYogiParameters operation
LoadTPUEmbeddingProximalYogiParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters
LoadTPUEmbeddingProximalYogiParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingProximalYogiParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingProximalYogiParameters
loadTPUEmbeddingRMSPropParameters(Operand, Operand, Operand, Long, Long, LoadTPUEmbeddingRMSPropParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load RMSProp embedding parameters.
LoadTPUEmbeddingRMSPropParameters - Class in org.tensorflow.op.tpu: Load RMSProp embedding parameters.
LoadTPUEmbeddingRMSPropParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters
LoadTPUEmbeddingRMSPropParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingRMSPropParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingRMSPropParameters
loadTPUEmbeddingStochasticGradientDescentParameters(Operand, Long, Long, LoadTPUEmbeddingStochasticGradientDescentParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load SGD embedding parameters.
LoadTPUEmbeddingStochasticGradientDescentParameters - Class in org.tensorflow.op.tpu: Load SGD embedding parameters.
LoadTPUEmbeddingStochasticGradientDescentParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters
LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingStochasticGradientDescentParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingStochasticGradientDescentParameters
LOCAL_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
LOCALITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceAttributes
LocalLinks - Class in org.tensorflow.proto: Protobuf type tensorflow.LocalLinks
LocalLinks.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.LocalLinks
LocalLinksOrBuilder - Interface in org.tensorflow.proto
localResponseNormalization(Operand, LocalResponseNormalization.Options...) - Method in class org.tensorflow.op.NnOps: Local Response Normalization.
LocalResponseNormalization<T> - Class in org.tensorflow.op.nn: Local Response Normalization.
LocalResponseNormalization(Operation) - Constructor for class org.tensorflow.op.nn.LocalResponseNormalization
LocalResponseNormalization.Inputs<T> - Class in org.tensorflow.op.nn
LocalResponseNormalization.Options - Class in org.tensorflow.op.nn: Optional attributes for LocalResponseNormalization
localResponseNormalizationGrad(Operand, Operand, Operand, LocalResponseNormalizationGrad.Options...) - Method in class org.tensorflow.op.NnOps: Gradients for Local Response Normalization.
LocalResponseNormalizationGrad<T> - Class in org.tensorflow.op.nn: Gradients for Local Response Normalization.
LocalResponseNormalizationGrad(Operation) - Constructor for class org.tensorflow.op.nn.LocalResponseNormalizationGrad
LocalResponseNormalizationGrad.Inputs<T> - Class in org.tensorflow.op.nn
LocalResponseNormalizationGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for LocalResponseNormalizationGrad
localStep - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: The local_step value at which the sparse gradient was computed.
localStep - Variable in class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs: The local_step value at which the gradient was computed.
localStep - Variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs: The local_step value at which the gradient was computed.
log(Operand) - Method in class org.tensorflow.op.MathOps: Computes natural logarithm of x element-wise.
Log<T> - Class in org.tensorflow.op.math: Computes natural logarithm of x element-wise.
Log(Operation) - Constructor for class org.tensorflow.op.math.Log
LOG_DEVICE_PLACEMENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
LOG_MESSAGE - Enum constant in enum org.tensorflow.proto.Event.WhatCase: Deprecated.
LOG_MESSAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Event
Log.Inputs<T> - Class in org.tensorflow.op.math
log1p(Operand) - Method in class org.tensorflow.op.MathOps: Computes natural logarithm of (1 + x) element-wise.
Log1p<T> - Class in org.tensorflow.op.math: Computes natural logarithm of (1 + x) element-wise.
Log1p(Operation) - Constructor for class org.tensorflow.op.math.Log1p
Log1p.Inputs<T> - Class in org.tensorflow.op.math
logAbsDeterminant() - Method in class org.tensorflow.op.linalg.LogMatrixDeterminant: Gets logAbsDeterminant.
logbase - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Must be a scalar.
logbase - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Must be a scalar.
logCosh(Ops, Operand, Operand) - Static method in class org.tensorflow.framework.losses.Losses: Computes the hyperbolic cosine loss between labels and predictions.
LogCosh - Class in org.tensorflow.framework.losses: Computes Computes the logarithm of the hyperbolic cosine of the prediction error.
LogCosh() - Constructor for class org.tensorflow.framework.losses.LogCosh: Creates a LogCosh AbstractLoss using Class.getSimpleName() as the loss name and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
LogCosh(String) - Constructor for class org.tensorflow.framework.losses.LogCosh: Creates a LogCosh AbstractLoss using a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
LogCosh(String, Reduction) - Constructor for class org.tensorflow.framework.losses.LogCosh: Creates a LogCosh AbstractLoss
LogCosh(Reduction) - Constructor for class org.tensorflow.framework.losses.LogCosh: Creates a LogCosh AbstractLoss using Class.getSimpleName() as the loss name
LogCoshError<T> - Class in org.tensorflow.framework.metrics: A metric that computes the logarithm of the hyperbolic cosine of the prediction error metric between labels and predictions.
LogCoshError(long, Class) - Constructor for class org.tensorflow.framework.metrics.LogCoshError: Creates a LogCoshError metric using Class.getSimpleName() for the metric name.
LogCoshError(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.LogCoshError: Creates a LogCoshError metric
logdir - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The logdir input
logicalAnd(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns the truth value of x AND y element-wise.
LogicalAnd - Class in org.tensorflow.op.math: Returns the truth value of x AND y element-wise.
LogicalAnd(Operation) - Constructor for class org.tensorflow.op.math.LogicalAnd
LogicalAnd.Inputs - Class in org.tensorflow.op.math
logicalNot(Operand) - Method in class org.tensorflow.op.MathOps: Returns the truth value of NOT x element-wise.
LogicalNot - Class in org.tensorflow.op.math: Returns the truth value of NOT x element-wise.
LogicalNot(Operation) - Constructor for class org.tensorflow.op.math.LogicalNot
LogicalNot.Inputs - Class in org.tensorflow.op.math
logicalOr(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns the truth value of x OR y element-wise.
LogicalOr - Class in org.tensorflow.op.math: Returns the truth value of x OR y element-wise.
LogicalOr(Operation) - Constructor for class org.tensorflow.op.math.LogicalOr
LogicalOr.Inputs - Class in org.tensorflow.op.math
logits - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax.Inputs: A CSRSparseMatrix.
logits - Variable in class org.tensorflow.op.nn.LogSoftmax.Inputs: 2-D with shape [batch_size, num_classes].
logits - Variable in class org.tensorflow.op.nn.Softmax.Inputs: 2-D with shape [batch_size, num_classes].
logits - Variable in class org.tensorflow.op.random.Multinomial.Inputs: 2-D Tensor with shape [batch_size, num_classes].
logits - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: 2-D Tensor with shape [batch_size, num_classes].
logMatrixDeterminant(Operand) - Method in class org.tensorflow.op.LinalgOps: Computes the sign and the log of the absolute value of the determinant of one or more square matrices.
LogMatrixDeterminant<T> - Class in org.tensorflow.op.linalg: Computes the sign and the log of the absolute value of the determinant of one or more square matrices.
LogMatrixDeterminant(Operation) - Constructor for class org.tensorflow.op.linalg.LogMatrixDeterminant
LogMatrixDeterminant.Inputs<T> - Class in org.tensorflow.op.linalg
LogMemoryProtos - Class in org.tensorflow.proto
LogMessage - Class in org.tensorflow.proto: Deprecated.
LogMessage.Builder - Class in org.tensorflow.proto: Deprecated.

Protocol buffer used for logging messages to the events file.
LogMessage.Level - Enum in org.tensorflow.proto: Deprecated.
LogMessageOrBuilder - Interface in org.tensorflow.proto: Deprecated.
logProbability() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Gets logProbability.
logProbability() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder: Gets logProbability.
logsoftmax() - Method in class org.tensorflow.op.nn.LogSoftmax: Gets logsoftmax.
logSoftmax(Operand) - Method in class org.tensorflow.op.NnOps: Computes log softmax activations.
LogSoftmax<T> - Class in org.tensorflow.op.nn: Computes log softmax activations.
LogSoftmax(Operation) - Constructor for class org.tensorflow.op.nn.LogSoftmax
LogSoftmax.Inputs<T> - Class in org.tensorflow.op.nn
logUniformCandidateSampler(Operand, Long, Long, Boolean, Long, LogUniformCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps: Generates labels for candidate sampling with a log-uniform distribution.
LogUniformCandidateSampler - Class in org.tensorflow.op.random: Generates labels for candidate sampling with a log-uniform distribution.
LogUniformCandidateSampler(Operation) - Constructor for class org.tensorflow.op.random.LogUniformCandidateSampler
LogUniformCandidateSampler.Inputs - Class in org.tensorflow.op.random
LogUniformCandidateSampler.Options - Class in org.tensorflow.op.random: Optional attributes for LogUniformCandidateSampler
logWarning - Variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs: The logWarning attribute
logWarning - Variable in class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs: The logWarning attribute
logWarning(Boolean) - Static method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset: Sets the logWarning option.
logWarning(Boolean) - Method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Options: Sets the logWarning option.
logWarning(Boolean) - Static method in class org.tensorflow.op.data.IgnoreErrorsDataset: Sets the logWarning option.
logWarning(Boolean) - Method in class org.tensorflow.op.data.IgnoreErrorsDataset.Options: Sets the logWarning option.
lookupId - Variable in class org.tensorflow.op.tpu.EmbeddingActivations.Inputs: Identifier of the set of embedding indices which produced these activations.
lookupId - Variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.

Identifier of the set of embedding indices which produced these activations.
lookupTableExport(Operand, Class, Class) - Method in class org.tensorflow.op.Ops: Outputs all keys and values in the table.
LookupTableExport<T,U> - Class in org.tensorflow.op.core: Outputs all keys and values in the table.
LookupTableExport(Operation) - Constructor for class org.tensorflow.op.core.LookupTableExport
LookupTableExport.Inputs - Class in org.tensorflow.op.core
lookupTableFind(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Looks up keys in a table, outputs the corresponding values.
LookupTableFind - Class in org.tensorflow.op.core: Looks up keys in a table, outputs the corresponding values.
LookupTableFind(Operation) - Constructor for class org.tensorflow.op.core.LookupTableFind
LookupTableFind.Inputs - Class in org.tensorflow.op.core
lookupTableImport(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Replaces the contents of the table with the specified keys and values.
LookupTableImport - Class in org.tensorflow.op.core: Replaces the contents of the table with the specified keys and values.
LookupTableImport(Operation) - Constructor for class org.tensorflow.op.core.LookupTableImport
LookupTableImport.Inputs - Class in org.tensorflow.op.core
lookupTableInsert(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Updates the table to associates keys with values.
LookupTableInsert - Class in org.tensorflow.op.core: Updates the table to associates keys with values.
LookupTableInsert(Operation) - Constructor for class org.tensorflow.op.core.LookupTableInsert
LookupTableInsert.Inputs - Class in org.tensorflow.op.core
lookupTableRemove(Operand, Operand) - Method in class org.tensorflow.op.Ops: Removes keys and its associated values from a table.
LookupTableRemove - Class in org.tensorflow.op.core: Removes keys and its associated values from a table.
LookupTableRemove(Operation) - Constructor for class org.tensorflow.op.core.LookupTableRemove
LookupTableRemove.Inputs - Class in org.tensorflow.op.core
lookupTableSize(Operand) - Method in class org.tensorflow.op.Ops: Computes the number of elements in the given table.
LookupTableSize - Class in org.tensorflow.op.core: Computes the number of elements in the given table.
LookupTableSize(Operation) - Constructor for class org.tensorflow.op.core.LookupTableSize
LookupTableSize.Inputs - Class in org.tensorflow.op.core
LOOP_ENTER_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WhileContextDef
LOOP_EXIT_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WhileContextDef
LOOP_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
loopCond(Operand) - Method in class org.tensorflow.op.Ops: Forwards the input to the output.
LoopCond - Class in org.tensorflow.op.core: Forwards the input to the output.
LoopCond(Operation) - Constructor for class org.tensorflow.op.core.LoopCond
LoopCond.Inputs - Class in org.tensorflow.op.core
loss - Variable in class org.tensorflow.framework.metrics.Accuracy: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.BinaryAccuracy: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.BinaryCrossentropy: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.CategoricalAccuracy: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.CategoricalCrossentropy: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.CategoricalHinge: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.CosineSimilarity: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.Hinge: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.KLDivergence: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.LogCoshError: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.MeanAbsoluteError: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.MeanSquaredError: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.Poisson: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.SquaredHinge: The loss function interface
loss - Variable in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: The loss function interface
loss() - Method in class org.tensorflow.op.nn.CtcLoss: Gets loss.
loss() - Method in class org.tensorflow.op.nn.CTCLossV2: Gets loss.
loss() - Method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits: Gets loss.
loss() - Method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits: Gets loss.
Loss - Interface in org.tensorflow.framework.losses: Interface for loss calc ulation
Losses - Class in org.tensorflow.framework.losses: Built-in loss functions.
Losses() - Constructor for class org.tensorflow.framework.losses.Losses
lossType - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Type of the primal loss.
lower - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The lower attribute
lower - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The lower attribute
lower - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: Boolean indicating whether the innermost matrices in matrix are lower or upper triangular.
lower(Boolean) - Static method in class org.tensorflow.op.linalg.BandedTriangularSolve: Sets the lower option.
lower(Boolean) - Method in class org.tensorflow.op.linalg.BandedTriangularSolve.Options: Sets the lower option.
lower(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: Sets the lower option.
lower(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Options: Sets the lower option.
lower(Boolean) - Static method in class org.tensorflow.op.linalg.TriangularSolve: Sets the lower option.
lower(Boolean) - Method in class org.tensorflow.op.linalg.TriangularSolve.Options: Sets the lower option.
lower(Operand, Lower.Options...) - Method in class org.tensorflow.op.StringsOps: Converts all uppercase characters into their respective lowercase replacements.
Lower - Class in org.tensorflow.op.strings: Converts all uppercase characters into their respective lowercase replacements.
Lower(Operation) - Constructor for class org.tensorflow.op.strings.Lower
Lower.Inputs - Class in org.tensorflow.op.strings
Lower.Options - Class in org.tensorflow.op.strings: Optional attributes for Lower
lowerBound(Operand, Operand) - Method in class org.tensorflow.op.Ops: Applies lower_bound(sorted_search_values, values) along each row.
lowerBound(Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Applies lower_bound(sorted_search_values, values) along each row.
LowerBound - Class in org.tensorflow.op.core: Applies lower_bound(sorted_search_values, values) along each row.
LowerBound(Operation) - Constructor for class org.tensorflow.op.core.LowerBound
LowerBound.Inputs<T> - Class in org.tensorflow.op.core
lowerFrequencyLimit - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: The lowest frequency to use when calculating the ceptstrum.
lowerFrequencyLimit(Float) - Static method in class org.tensorflow.op.audio.Mfcc: Sets the lowerFrequencyLimit option.
lowerFrequencyLimit(Float) - Method in class org.tensorflow.op.audio.Mfcc.Options: Sets the lowerFrequencyLimit option.
lowPriorityAllowedBatchSizes - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The lowPriorityAllowedBatchSizes attribute
lowPriorityAllowedBatchSizes(Long...) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the lowPriorityAllowedBatchSizes option.
lowPriorityAllowedBatchSizes(Long...) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the lowPriorityAllowedBatchSizes option.
lowPriorityAllowedBatchSizes(List) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the lowPriorityAllowedBatchSizes option.
lowPriorityAllowedBatchSizes(List) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the lowPriorityAllowedBatchSizes option.
lowPriorityBatchTimeoutMicros - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The lowPriorityBatchTimeoutMicros attribute
lowPriorityBatchTimeoutMicros(Long) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the lowPriorityBatchTimeoutMicros option.
lowPriorityBatchTimeoutMicros(Long) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the lowPriorityBatchTimeoutMicros option.
lowPriorityMaxBatchSize - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The lowPriorityMaxBatchSize attribute
lowPriorityMaxBatchSize(Long) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the lowPriorityMaxBatchSize option.
lowPriorityMaxBatchSize(Long) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the lowPriorityMaxBatchSize option.
lowPriorityMaxEnqueuedBatches - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The lowPriorityMaxEnqueuedBatches attribute
lowPriorityMaxEnqueuedBatches(Long) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the lowPriorityMaxEnqueuedBatches option.
lowPriorityMaxEnqueuedBatches(Long) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the lowPriorityMaxEnqueuedBatches option.
lr - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.NegTrain.Inputs: The lr input
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Scaling factor.
lrPower - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Scaling factor.
lrPower - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Scaling factor.
lrPower - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Scaling factor.
lrPower - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Scaling factor.
lSTMBlockCell(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, LSTMBlockCell.Options...) - Method in class org.tensorflow.op.NnOps: Computes the LSTM cell forward propagation for 1 time step.
LSTMBlockCell<T> - Class in org.tensorflow.op.nn: Computes the LSTM cell forward propagation for 1 time step.
LSTMBlockCell(Operation) - Constructor for class org.tensorflow.op.nn.LSTMBlockCell
LSTMBlockCell.Inputs<T> - Class in org.tensorflow.op.nn
LSTMBlockCell.Options - Class in org.tensorflow.op.nn: Optional attributes for LSTMBlockCell
lSTMBlockCellGrad(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean) - Method in class org.tensorflow.op.NnOps: Computes the LSTM cell backward propagation for 1 timestep.
LSTMBlockCellGrad<T> - Class in org.tensorflow.op.nn: Computes the LSTM cell backward propagation for 1 timestep.
LSTMBlockCellGrad(Operation) - Constructor for class org.tensorflow.op.nn.LSTMBlockCellGrad
LSTMBlockCellGrad.Inputs<T> - Class in org.tensorflow.op.nn
lu() - Method in class org.tensorflow.op.linalg.Lu: Gets lu.
lu(Operand) - Method in class org.tensorflow.op.LinalgOps: Computes the LU decomposition of one or more square matrices.
lu(Operand, Class) - Method in class org.tensorflow.op.LinalgOps: Computes the LU decomposition of one or more square matrices.
Lu<T,U> - Class in org.tensorflow.op.linalg: Computes the LU decomposition of one or more square matrices.
Lu(Operation) - Constructor for class org.tensorflow.op.linalg.Lu
Lu.Inputs<T> - Class in org.tensorflow.op.linalg

M

m - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 1D mean Tensor with size matching the last dimension of t.
m - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A 1D mean Tensor with size matching the last dimension of t.
m - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 1D mean Tensor with size matching the last dimension of t.
m - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The m input
m - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Should be from a Variable().
m() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Gets m.
MACHINE_CONFIGURATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TestResults
MACHINE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.PlatformInfo
MachineConfiguration - Class in org.tensorflow.proto: Protobuf type tensorflow.MachineConfiguration
MachineConfiguration.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.MachineConfiguration
MachineConfigurationOrBuilder - Interface in org.tensorflow.proto
magnitudeSquared - Variable in class org.tensorflow.op.audio.AudioSpectrogram.Inputs: Whether to return the squared magnitude or just the magnitude.
magnitudeSquared(Boolean) - Static method in class org.tensorflow.op.audio.AudioSpectrogram: Sets the magnitudeSquared option.
magnitudeSquared(Boolean) - Method in class org.tensorflow.op.audio.AudioSpectrogram.Options: Sets the magnitudeSquared option.
main(String[]) - Static method in class org.tensorflow.generator.op.OpGenerator: Args should be <outputDir> <opDefFile> [base_package].
maindiag - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: Tensor of shape [..., 1, M], representing main diagonals of tri-diagonal matrices to the left of multiplication.
MAJORING - Enum constant in enum org.tensorflow.framework.metrics.AUCSummationMethod: Apply right summation for increasing intervals and left summation for decreasing intervals
makeInitializeableIterator() - Method in class org.tensorflow.framework.data.Dataset: Creates a `DatasetIterator` that can be used to iterate over elements of this dataset.
makeInitializer(Dataset) - Method in class org.tensorflow.framework.data.DatasetIterator: Creates and returns a TF `Op` that can be run to initialize this iterator on a dataset.
makeIterator(Operand, Operand) - Method in class org.tensorflow.op.DataOps: Makes a new iterator from the given dataset and stores it in iterator.
MakeIterator - Class in org.tensorflow.op.data: Makes a new iterator from the given dataset and stores it in iterator.
MakeIterator(Operation) - Constructor for class org.tensorflow.op.data.MakeIterator
MakeIterator.Inputs - Class in org.tensorflow.op.data
makeOneShotIterator() - Method in class org.tensorflow.framework.data.Dataset: Creates a `DatasetIterator` that can be used to iterate over elements of this dataset.
makeOpName(String) - Method in class org.tensorflow.op.NativeScope
makeOpName(String) - Method in class org.tensorflow.op.OpScope
makeOpName(String) - Method in interface org.tensorflow.op.Scope: Create a unique name for an operator and reserves it, using a provided default if necessary.
makeUnique(String) - Method in class org.tensorflow.op.NativeScope
makeUnique(String) - Method in class org.tensorflow.op.OpScope
makeUnique(String) - Method in interface org.tensorflow.op.Scope: Makes a unique name from id and reserves it.
makeUnique(Operand) - Method in class org.tensorflow.op.Ops: Make all elements in the non-Batch dimension unique, but "close" to their initial value.
MakeUnique - Class in org.tensorflow.op.core: Make all elements in the non-Batch dimension unique, but "close" to their initial value.
MakeUnique(Operation) - Constructor for class org.tensorflow.op.core.MakeUnique
MakeUnique.Inputs - Class in org.tensorflow.op.core
MANUAL - Enum constant in enum org.tensorflow.proto.RewriterConfig.MemOptType: Driven by manual op-level annotations.
MANUAL_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.MemOptType: Driven by manual op-level annotations.
map(Function) - Method in class org.tensorflow.framework.data.Dataset: Returns a new Dataset which maps a function over all elements returned by this dataset.
map(InfoMap) - Method in class org.tensorflow.internal.c_api.presets.tensorflow
MAP_AND_BATCH_FUSION - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndBatchFusionCase
MAP_AND_BATCH_FUSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
MAP_AND_FILTER_FUSION - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndFilterFusionCase
MAP_AND_FILTER_FUSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
MAP_FUSION - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapFusionCase
MAP_FUSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
MAP_PARALLELIZATION - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapParallelizationCase
MAP_PARALLELIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
mapAllComponents(Function) - Method in class org.tensorflow.framework.data.Dataset: Returns a new Dataset which maps a function across all elements from this dataset, on all components of each element.
mapAndBatchDataset(Operand, Iterable, Operand, Operand, Operand, ConcreteFunction, List, List, MapAndBatchDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that fuses mapping with batching.
mapAndBatchDataset(Operand, Iterable, Operand, Operand, Operand, ConcreteFunction, List, List, MapAndBatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that fuses mapping with batching.
MapAndBatchDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that fuses mapping with batching.
MapAndBatchDataset - Class in org.tensorflow.op.data: Creates a dataset that fuses mapping with batching.
MapAndBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.MapAndBatchDataset
MapAndBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.MapAndBatchDataset
MapAndBatchDataset.Inputs - Class in org.tensorflow.op.data.experimental
MapAndBatchDataset.Inputs - Class in org.tensorflow.op.data
MapAndBatchDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for MapAndBatchDataset
MapAndBatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for MapAndBatchDataset
mapClear(List, MapClear.Options...) - Method in class org.tensorflow.op.Ops: Op removes all elements in the underlying container.
MapClear - Class in org.tensorflow.op.core: Op removes all elements in the underlying container.
MapClear(Operation) - Constructor for class org.tensorflow.op.core.MapClear
MapClear.Inputs - Class in org.tensorflow.op.core
MapClear.Options - Class in org.tensorflow.op.core: Optional attributes for MapClear
mapDataset(Operand, Iterable, ConcreteFunction, List, List, MapDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that applies f to the outputs of input_dataset.
mapDataset(Operand, Iterable, ConcreteFunction, List, List, MapDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
MapDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that applies f to the outputs of input_dataset.
MapDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
MapDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.MapDataset
MapDataset(Operation) - Constructor for class org.tensorflow.op.data.MapDataset
MapDataset.Inputs - Class in org.tensorflow.op.data.experimental
MapDataset.Inputs - Class in org.tensorflow.op.data
MapDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for MapDataset
MapDataset.Options - Class in org.tensorflow.op.data: Optional attributes for MapDataset
mapDefun(Iterable, Iterable, List, List, ConcreteFunction, MapDefun.Options...) - Method in class org.tensorflow.op.Ops: Maps a function on the list of tensors unpacked from arguments on dimension 0.
MapDefun - Class in org.tensorflow.op.core: Maps a function on the list of tensors unpacked from arguments on dimension 0.
MapDefun(Operation) - Constructor for class org.tensorflow.op.core.MapDefun
MapDefun.Inputs - Class in org.tensorflow.op.core
MapDefun.Options - Class in org.tensorflow.op.core: Optional attributes for MapDefun
mapDense(RawTensor) - Method in class org.tensorflow.TensorMapper: Maps the provided dense raw tensor as a tensor of type T.
mapFuncOtherArgs - Variable in class org.tensorflow.op.data.IndexFlatMapDataset.Inputs: The mapFuncOtherArgs input
mapIncompleteSize(List, MapIncompleteSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of incomplete elements in the underlying container.
MapIncompleteSize - Class in org.tensorflow.op.core: Op returns the number of incomplete elements in the underlying container.
MapIncompleteSize(Operation) - Constructor for class org.tensorflow.op.core.MapIncompleteSize
MapIncompleteSize.Inputs - Class in org.tensorflow.op.core
MapIncompleteSize.Options - Class in org.tensorflow.op.core: Optional attributes for MapIncompleteSize
mapOneComponent(int, Function) - Method in class org.tensorflow.framework.data.Dataset: Returns a new Dataset which maps a function across all elements from this dataset, on a single component of each element.
mapPeek(Operand, Operand, List, MapPeek.Options...) - Method in class org.tensorflow.op.Ops: Op peeks at the values at the specified key.
MapPeek - Class in org.tensorflow.op.core: Op peeks at the values at the specified key.
MapPeek(Operation) - Constructor for class org.tensorflow.op.core.MapPeek
MapPeek.Inputs - Class in org.tensorflow.op.core
MapPeek.Options - Class in org.tensorflow.op.core: Optional attributes for MapPeek
mapperClass() - Element in annotation type org.tensorflow.types.annotation.TensorType: The class of the TensorMapper to allocate and use for mapping tensors of this type
mapSize(List, MapSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of elements in the underlying container.
MapSize - Class in org.tensorflow.op.core: Op returns the number of elements in the underlying container.
MapSize(Operation) - Constructor for class org.tensorflow.op.core.MapSize
MapSize.Inputs - Class in org.tensorflow.op.core
MapSize.Options - Class in org.tensorflow.op.core: Optional attributes for MapSize
mapSparse(TInt64, T, TInt64, PointerScope) - Method in class org.tensorflow.TensorMapper: Maps the provided dense tensors as a sparse tensor of type T.
mapStage(Operand, Operand, Iterable, List, MapStage.Options...) - Method in class org.tensorflow.op.Ops: Stage (key, values) in the underlying container which behaves like a hashtable.
MapStage - Class in org.tensorflow.op.core: Stage (key, values) in the underlying container which behaves like a hashtable.
MapStage(Operation) - Constructor for class org.tensorflow.op.core.MapStage
MapStage.Inputs - Class in org.tensorflow.op.core
MapStage.Options - Class in org.tensorflow.op.core: Optional attributes for MapStage
mapUnstage(Operand, Operand, List, MapUnstage.Options...) - Method in class org.tensorflow.op.Ops: Op removes and returns the values associated with the key from the underlying container.
MapUnstage - Class in org.tensorflow.op.core: Op removes and returns the values associated with the key from the underlying container.
MapUnstage(Operation) - Constructor for class org.tensorflow.op.core.MapUnstage
MapUnstage.Inputs - Class in org.tensorflow.op.core
MapUnstage.Options - Class in org.tensorflow.op.core: Optional attributes for MapUnstage
mapUnstageNoKey(Operand, List, MapUnstageNoKey.Options...) - Method in class org.tensorflow.op.Ops: Op removes and returns a random (key, value) from the underlying container.
MapUnstageNoKey - Class in org.tensorflow.op.core: Op removes and returns a random (key, value) from the underlying container.
MapUnstageNoKey(Operation) - Constructor for class org.tensorflow.op.core.MapUnstageNoKey
MapUnstageNoKey.Inputs - Class in org.tensorflow.op.core
MapUnstageNoKey.Options - Class in org.tensorflow.op.core: Optional attributes for MapUnstageNoKey
matchingFiles(Operand) - Method in class org.tensorflow.op.IoOps: Returns the set of files matching one or more glob patterns.
MatchingFiles - Class in org.tensorflow.op.io: Returns the set of files matching one or more glob patterns.
MatchingFiles(Operation) - Constructor for class org.tensorflow.op.io.MatchingFiles
MatchingFiles.Inputs - Class in org.tensorflow.op.io
matchingFilesDataset(Operand) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalMatchingFilesDataset operation
matchingFilesDataset(Operand) - Method in class org.tensorflow.op.DataOps: The MatchingFilesDataset operation
MatchingFilesDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalMatchingFilesDataset operation
MatchingFilesDataset - Class in org.tensorflow.op.data: The MatchingFilesDataset operation
MatchingFilesDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.MatchingFilesDataset
MatchingFilesDataset(Operation) - Constructor for class org.tensorflow.op.data.MatchingFilesDataset
MatchingFilesDataset.Inputs - Class in org.tensorflow.op.data.experimental
MatchingFilesDataset.Inputs - Class in org.tensorflow.op.data
math - Variable in class org.tensorflow.framework.op.FrameworkOps
math - Variable in class org.tensorflow.op.Ops
MathOps - Class in org.tensorflow.framework.op
MathOps - Class in org.tensorflow.op: An API for building math operations as Ops
MathSpecialOps - Class in org.tensorflow.op: An API for building math.special operations as Ops
matmul(Scope, Operand, Operand) - Static method in class org.tensorflow.framework.op.linalg.MatMul: Multiplies matrix a by matrix b, producing a * b .
matmul(Scope, Operand, Operand, boolean, boolean) - Static method in class org.tensorflow.framework.op.linalg.MatMul: Multiplies matrix a by matrix b, producing a * b .
matmul(Scope, Operand, Operand, boolean, boolean, boolean, boolean, boolean, boolean) - Static method in class org.tensorflow.framework.op.linalg.MatMul: Multiplies matrix a by matrix b, producing a * b .
matmul(Operand, Operand) - Method in class org.tensorflow.framework.op.LinalgOps: Multiplies matrix a by matrix b, producing a * b .
matmul(Operand, Operand, boolean, boolean) - Method in class org.tensorflow.framework.op.LinalgOps: Multiplies matrix a by matrix b, producing a * b .
matmul(Operand, Operand, boolean, boolean, boolean, boolean, boolean, boolean) - Method in class org.tensorflow.framework.op.LinalgOps: Multiplies matrix a by matrix b, producing a * b .
matMul(Operand, Operand, MatMul.Options...) - Method in class org.tensorflow.op.LinalgOps: Multiply the matrix "a" by the matrix "b".
MatMul - Class in org.tensorflow.framework.op.linalg: Multiplication matrix operations
MatMul<T> - Class in org.tensorflow.op.linalg: Multiply the matrix "a" by the matrix "b".
MatMul() - Constructor for class org.tensorflow.framework.op.linalg.MatMul
MatMul(Operation) - Constructor for class org.tensorflow.op.linalg.MatMul
MatMul.Inputs<T> - Class in org.tensorflow.op.linalg
MatMul.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatMul
matrix - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The matrix input
matrix - Variable in class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs: The matrix input
matrix - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The matrix input
matrix - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The matrix input
matrix - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: Shape is [..., M, N].
matrix - Variable in class org.tensorflow.op.linalg.Solve.Inputs: Shape is [..., M, M].
matrix - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: Shape is [..., M, M].
matrixDiag(Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: Returns a batched diagonal tensor with given batched diagonal values.
MatrixDiag<T> - Class in org.tensorflow.op.linalg: Returns a batched diagonal tensor with given batched diagonal values.
MatrixDiag(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixDiag
MatrixDiag.Inputs<T> - Class in org.tensorflow.op.linalg
matrixDiagPart(Operand, Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: Returns the batched diagonal part of a batched tensor.
MatrixDiagPart<T> - Class in org.tensorflow.op.linalg: Returns the batched diagonal part of a batched tensor.
MatrixDiagPart(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagPart
MatrixDiagPart.Inputs<T> - Class in org.tensorflow.op.linalg
matrixDiagPartV3(Operand, Operand, Operand, MatrixDiagPartV3.Options...) - Method in class org.tensorflow.op.LinalgOps: Returns the batched diagonal part of a batched tensor.
MatrixDiagPartV3<T> - Class in org.tensorflow.op.linalg: Returns the batched diagonal part of a batched tensor.
MatrixDiagPartV3(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagPartV3
MatrixDiagPartV3.Inputs<T> - Class in org.tensorflow.op.linalg
MatrixDiagPartV3.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatrixDiagPartV3
matrixDiagV3(Operand, Operand, Operand, Operand, Operand, MatrixDiagV3.Options...) - Method in class org.tensorflow.op.LinalgOps: Returns a batched diagonal tensor with given batched diagonal values.
MatrixDiagV3<T> - Class in org.tensorflow.op.linalg: Returns a batched diagonal tensor with given batched diagonal values.
MatrixDiagV3(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagV3
MatrixDiagV3.Inputs<T> - Class in org.tensorflow.op.linalg
MatrixDiagV3.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatrixDiagV3
matrixExponential(Operand) - Method in class org.tensorflow.op.LinalgOps: Deprecated, use python implementation tf.linalg.matrix_exponential.
MatrixExponential<T> - Class in org.tensorflow.op.linalg: Deprecated, use python implementation tf.linalg.matrix_exponential.
MatrixExponential(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixExponential
MatrixExponential.Inputs<T> - Class in org.tensorflow.op.linalg
matrixLogarithm(Operand) - Method in class org.tensorflow.op.LinalgOps: Computes the matrix logarithm of one or more square matrices: \(log(exp(A)) = A\)
MatrixLogarithm<T> - Class in org.tensorflow.op.linalg: Computes the matrix logarithm of one or more square matrices: \(log(exp(A)) = A\)
MatrixLogarithm(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixLogarithm
MatrixLogarithm.Inputs<T> - Class in org.tensorflow.op.linalg
matrixSetDiag(Operand, Operand, Operand, MatrixSetDiag.Options...) - Method in class org.tensorflow.op.LinalgOps: Returns a batched matrix tensor with new batched diagonal values.
MatrixSetDiag<T> - Class in org.tensorflow.op.linalg: Returns a batched matrix tensor with new batched diagonal values.
MatrixSetDiag(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixSetDiag
MatrixSetDiag.Inputs<T> - Class in org.tensorflow.op.linalg
MatrixSetDiag.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatrixSetDiag
matrixSolveLs(Operand, Operand, Operand, MatrixSolveLs.Options...) - Method in class org.tensorflow.op.LinalgOps: Solves one or more linear least-squares problems.
MatrixSolveLs<T> - Class in org.tensorflow.op.linalg: Solves one or more linear least-squares problems.
MatrixSolveLs(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixSolveLs
MatrixSolveLs.Inputs<T> - Class in org.tensorflow.op.linalg
MatrixSolveLs.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatrixSolveLs
max - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The min value(s) to clip operand.
max - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: The max input
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The max attribute
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: The max attribute
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The max input
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: The max input
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The max input
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: The max input
max(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Sets the max option.
max(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options: Sets the max option.
max(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Sets the max option.
max(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options: Sets the max option.
max(Operand, Operand, Max.Options...) - Method in class org.tensorflow.op.Ops: Computes the maximum of elements across dimensions of a tensor.
Max<T> - Class in org.tensorflow.op.core: Computes the maximum of elements across dimensions of a tensor.
Max(Operation) - Constructor for class org.tensorflow.op.core.Max
MAX_BYTE_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeOutputInfo
MAX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
MAX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.HistogramProto
MAX_FOLDED_CONSTANT_IN_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizerOptions
MAX_INTRA_OP_PARALLELISM - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalMaxIntraOpParallelismCase
MAX_INTRA_OP_PARALLELISM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
MAX_PARALLELISM - Enum constant in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: MAX_PARALLELISM = 3;
MAX_PARALLELISM_VALUE - Static variable in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: MAX_PARALLELISM = 3;
MAX_SESSION_DURATION_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
MAX_TO_KEEP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SaverDef
MAX_VALUE_DEFAULT - Static variable in class org.tensorflow.framework.activations.ReLU
MAX_VALUE_DEFAULT - Static variable in class org.tensorflow.framework.constraints.MaxNorm
MAX_VALUE_DEFAULT - Static variable in class org.tensorflow.framework.constraints.MinMaxNorm
MAX_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetricEntry
Max.Inputs<T> - Class in org.tensorflow.op.core
Max.Options - Class in org.tensorflow.op.core: Optional attributes for Max
maxA - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The float value that the highest quantized a value represents.
maxA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The float value that the highest quantized a value represents.
maxA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The float value that the highest quantized a value represents.
maxA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the highest quantized a value represents.
maxA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The maxA input
maxA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The maxA input
maxActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu: Gets maxActivations.
maxActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu6: Gets maxActivations.
maxActivations() - Method in class org.tensorflow.op.nn.QuantizedReluX: Gets maxActivations.
maxAttempts - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: Number of attempts at generating a cropped region of the image of the specified constraints.
maxAttempts - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: Number of attempts at generating a cropped region of the image of the specified constraints.
maxAttempts(Long) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the maxAttempts option.
maxAttempts(Long) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the maxAttempts option.
maxAttempts(Long) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the maxAttempts option.
maxAttempts(Long) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the maxAttempts option.
maxB - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The float value that the highest quantized b value represents.
maxB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The float value that the highest quantized b value represents.
maxB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The float value that the highest quantized b value represents.
maxB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the highest quantized b value represents.
maxB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The maxB input
maxB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The maxB input
maxBatchSize - Variable in class org.tensorflow.op.core.Batch.Inputs: The maxBatchSize attribute
maxBatchSize - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Batch sizes will never be bigger than this.
maxBias - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The float value that the highest quantized bias value represents.
maxBufferSize - Variable in class org.tensorflow.op.data.MultiDeviceIteratorInit.Inputs: The maximum size of the host side per device buffer to keep.
maxEnqueuedBatches - Variable in class org.tensorflow.op.core.Batch.Inputs: The maxEnqueuedBatches attribute
maxEnqueuedBatches - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Maximum number of batches enqueued.
maxEnqueuedBatches(Long) - Static method in class org.tensorflow.op.core.Batch: Sets the maxEnqueuedBatches option.
maxEnqueuedBatches(Long) - Method in class org.tensorflow.op.core.Batch.Options: Sets the maxEnqueuedBatches option.
maxEnqueuedBatches(Long) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the maxEnqueuedBatches option.
maxEnqueuedBatches(Long) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the maxEnqueuedBatches option.
maxFeatures - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The float value that the highest quantized value represents.
maxFeatures - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The float value that the highest quantized value represents.
maxFeatures - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The float value that the highest quantized value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The float value that the highest quantized filter value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The maximum value of the filter tensor.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The float value that the maximum quantized filter value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The float value that the maximum quantized filter value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The float value that the maximum quantized filter value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The float value that the maximum quantized filter value represents.
maxFreezedOutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The maximum float value of the output tensor.
maxFreezedOutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The maxFreezedOutput input
maxIds - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The maxIds input
maxIds() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets maxIds.
maxIdsPerChipPerSample - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The maxIdsPerChipPerSample attribute
maxIdsPerChipPerSample - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The maxIdsPerChipPerSample attribute
maxIdsPerPartition - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The maxIdsPerPartition attribute
maxIdsPerSparseCore - Variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs: The maxIdsPerSparseCore attribute
maxIdsPerSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The maxIdsPerSparseCore attribute
maxIdsPerSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The maxIdsPerSparseCore attribute
maxIdsPerSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The maxIdsPerSparseCore attribute
maxIdsPerSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The maxIdsPerSparseCore attribute
maxIdsPerSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The maxIdsPerSparseCore attribute
maxIdsPerSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The maxIdsPerSparseCore attribute
maxIdsPerSparseCore() - Method in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors: Gets maxIdsPerSparseCore.
maxImages - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: Max number of batch elements to generate images for.
maxImages - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The maxImages attribute
maxImages(Long) - Static method in class org.tensorflow.op.summary.ImageSummary: Sets the maxImages option.
maxImages(Long) - Method in class org.tensorflow.op.summary.ImageSummary.Options: Sets the maxImages option.
maxImages(Long) - Static method in class org.tensorflow.op.summary.WriteImageSummary: Sets the maxImages option.
maxImages(Long) - Method in class org.tensorflow.op.summary.WriteImageSummary.Options: Sets the maxImages option.
maximum(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns the max of x and y (i.e. x > y ?
Maximum<T> - Class in org.tensorflow.op.math: Returns the max of x and y (i.e. x > y ?
Maximum(Operation) - Constructor for class org.tensorflow.op.math.Maximum
MAXIMUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
MAXIMUM_ITERATIONS_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WhileContextDef
Maximum.Inputs<T> - Class in org.tensorflow.op.math
maxIndex - Variable in class org.tensorflow.op.core.RandomIndexShuffle.Inputs: A scalar tensor or vector of dtype dtype.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The float value that the highest quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The float value that the highest quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The float value that the highest quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The maximum value of the input tensor.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The float value that the maximum quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The float value that the maximum quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The float value that the maximum quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The float value that the maximum quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The float value that the highest quantized input value represents.
maxIntraOpParallelism - Variable in class org.tensorflow.op.core.MapDefun.Inputs: The maxIntraOpParallelism attribute
maxIntraOpParallelism - Variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs: Identifies the maximum intra-op parallelism to use.
maxIntraOpParallelism - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: The maximum degree of parallelism to use within operations that execute on this threadpool.
maxIntraOpParallelism - Variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs: Identifies the maximum intra-op parallelism to use.
maxIntraOpParallelism - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: The maximum degree of parallelism to use within operations that execute on this threadpool.
maxIntraOpParallelism(Long) - Static method in class org.tensorflow.op.core.MapDefun: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Method in class org.tensorflow.op.core.MapDefun.Options: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Options: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Static method in class org.tensorflow.op.data.ThreadPoolHandle: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Method in class org.tensorflow.op.data.ThreadPoolHandle.Options: Sets the maxIntraOpParallelism option.
maxIntraOpParallelismDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that overrides the maximum intra-op parallelism.
maxIntraOpParallelismDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: Creates a dataset that overrides the maximum intra-op parallelism.
MaxIntraOpParallelismDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that overrides the maximum intra-op parallelism.
MaxIntraOpParallelismDataset - Class in org.tensorflow.op.data: Creates a dataset that overrides the maximum intra-op parallelism.
MaxIntraOpParallelismDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset
MaxIntraOpParallelismDataset(Operation) - Constructor for class org.tensorflow.op.data.MaxIntraOpParallelismDataset
MaxIntraOpParallelismDataset.Inputs - Class in org.tensorflow.op.data.experimental
MaxIntraOpParallelismDataset.Inputs - Class in org.tensorflow.op.data
maxlength - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Maximum value to count.
maxlength - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Maximum value to count.
maxlength - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Maximum value to count.
maxlength(Long) - Static method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Sets the maxlength option.
maxlength(Long) - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Options: Sets the maxlength option.
maxlength(Long) - Static method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Sets the maxlength option.
maxlength(Long) - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput.Options: Sets the maxlength option.
maxlength(Long) - Static method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Sets the maxlength option.
maxlength(Long) - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput.Options: Sets the maxlength option.
maxLoadFactor - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: The maximum ratio between number of entries and number of buckets before growing the table.
maxLoadFactor - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The maximum ratio between number of entries and number of buckets before growing the table.
maxLoadFactor(Float) - Static method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable: Sets the maxLoadFactor option.
maxLoadFactor(Float) - Method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Options: Sets the maxLoadFactor option.
maxLoadFactor(Float) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the maxLoadFactor option.
maxLoadFactor(Float) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the maxLoadFactor option.
maxMinibatchesPerSc - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The maxMinibatchesPerSc attribute
maxMinibatchesPerSc - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The maxMinibatchesPerSc attribute
MaxNorm - Class in org.tensorflow.framework.constraints: Constrains the weights incident to each hidden unit to have a norm less than or equal to a desired value.
MaxNorm() - Constructor for class org.tensorflow.framework.constraints.MaxNorm: Create a MaxNorm constraint using MaxNorm.MAX_VALUE_DEFAULT for the max value and MaxNorm.AXIS_DEFAULT for the axis.
MaxNorm(double) - Constructor for class org.tensorflow.framework.constraints.MaxNorm: Create a MaxNorm constraint using MaxNorm.AXIS_DEFAULT for the axis.
MaxNorm(double, int) - Constructor for class org.tensorflow.framework.constraints.MaxNorm: Create a MaxNorm constraint
MaxNorm(double, int[]) - Constructor for class org.tensorflow.framework.constraints.MaxNorm: Create a MaxNorm constraint
maxNumElements - Variable in class org.tensorflow.op.core.EmptyTensorList.Inputs: The maxNumElements input
maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMul: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.nn.QuantizedBiasAdd: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Gets maxOut.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedAvgPool: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2d: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedMaxPool: Gets maxOutput.
maxOutputs - Variable in class org.tensorflow.op.summary.AudioSummary.Inputs: Max number of batch elements to generate audio for.
maxOutputs - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The maxOutputs attribute
maxOutputs(Long) - Static method in class org.tensorflow.op.summary.AudioSummary: Sets the maxOutputs option.
maxOutputs(Long) - Method in class org.tensorflow.op.summary.AudioSummary.Options: Sets the maxOutputs option.
maxOutputs(Long) - Static method in class org.tensorflow.op.summary.WriteAudioSummary: Sets the maxOutputs option.
maxOutputs(Long) - Method in class org.tensorflow.op.summary.WriteAudioSummary.Options: Sets the maxOutputs option.
maxOutputSize - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A scalar integer tensor representing the maximum number of boxes to be selected by non max suppression.
maxOutputSize - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A scalar integer tensor representing the maximum number of boxes to be selected by non max suppression.
maxOutputSizePerClass - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A scalar integer tensor representing the maximum number of boxes to be selected by non max suppression per class
maxOutstandingRequests - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The maxOutstandingRequests input
maxPool(Operand, Operand, Operand, String, MaxPool.Options...) - Method in class org.tensorflow.op.NnOps: Performs max pooling on the input.
MaxPool<T> - Class in org.tensorflow.op.nn: Performs max pooling on the input.
MaxPool(Operation) - Constructor for class org.tensorflow.op.nn.MaxPool
MaxPool.Inputs<T> - Class in org.tensorflow.op.nn
MaxPool.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPool
maxPool3d(Operand, List, List, String, MaxPool3d.Options...) - Method in class org.tensorflow.op.NnOps: Performs 3D max pooling on the input.
MaxPool3d<T> - Class in org.tensorflow.op.nn: Performs 3D max pooling on the input.
MaxPool3d(Operation) - Constructor for class org.tensorflow.op.nn.MaxPool3d
MaxPool3d.Inputs<T> - Class in org.tensorflow.op.nn
MaxPool3d.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPool3d
maxPool3dGrad(Operand, Operand, Operand, List, List, String, MaxPool3dGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of 3D max pooling function.
MaxPool3dGrad - Class in org.tensorflow.op.nn: Computes gradients of 3D max pooling function.
MaxPool3dGrad(Operation) - Constructor for class org.tensorflow.op.nn.MaxPool3dGrad
MaxPool3dGrad.Inputs<T,U> - Class in org.tensorflow.op.nn
MaxPool3dGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPool3dGrad
maxPool3dGradGrad(Operand, Operand, Operand, List, List, String, MaxPool3dGradGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes second-order gradients of the maxpooling function.
MaxPool3dGradGrad<T> - Class in org.tensorflow.op.nn: Computes second-order gradients of the maxpooling function.
MaxPool3dGradGrad(Operation) - Constructor for class org.tensorflow.op.nn.MaxPool3dGradGrad
MaxPool3dGradGrad.Inputs<T> - Class in org.tensorflow.op.nn
MaxPool3dGradGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPool3dGradGrad
maxPoolGrad(Operand, Operand, Operand, Operand, Operand, String, MaxPoolGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of the maxpooling function.
MaxPoolGrad<T> - Class in org.tensorflow.op.nn: Computes gradients of the maxpooling function.
MaxPoolGrad(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolGrad
MaxPoolGrad.Inputs<T> - Class in org.tensorflow.op.nn
MaxPoolGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolGrad
maxPoolGradGrad(Operand, Operand, Operand, Operand, Operand, String, MaxPoolGradGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes second-order gradients of the maxpooling function.
MaxPoolGradGrad<T> - Class in org.tensorflow.op.nn: Computes second-order gradients of the maxpooling function.
MaxPoolGradGrad(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradGrad
MaxPoolGradGrad.Inputs<T> - Class in org.tensorflow.op.nn
MaxPoolGradGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolGradGrad
maxPoolGradGradWithArgmax(Operand, Operand, Operand, List, List, String, MaxPoolGradGradWithArgmax.Options...) - Method in class org.tensorflow.op.NnOps: Computes second-order gradients of the maxpooling function.
MaxPoolGradGradWithArgmax<T> - Class in org.tensorflow.op.nn: Computes second-order gradients of the maxpooling function.
MaxPoolGradGradWithArgmax(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax
MaxPoolGradGradWithArgmax.Inputs<T> - Class in org.tensorflow.op.nn
MaxPoolGradGradWithArgmax.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolGradGradWithArgmax
maxPoolGradWithArgmax(Operand, Operand, Operand, List, List, String, MaxPoolGradWithArgmax.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of the maxpooling function.
MaxPoolGradWithArgmax<T> - Class in org.tensorflow.op.nn: Computes gradients of the maxpooling function.
MaxPoolGradWithArgmax(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradWithArgmax
MaxPoolGradWithArgmax.Inputs<T> - Class in org.tensorflow.op.nn
MaxPoolGradWithArgmax.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolGradWithArgmax
maxPoolWithArgmax(Operand, List, List, Class, String, MaxPoolWithArgmax.Options...) - Method in class org.tensorflow.op.NnOps: Performs max pooling on the input and outputs both max values and indices.
maxPoolWithArgmax(Operand, List, List, String, MaxPoolWithArgmax.Options[]) - Method in class org.tensorflow.op.NnOps: Performs max pooling on the input and outputs both max values and indices.
MaxPoolWithArgmax<T,U> - Class in org.tensorflow.op.nn: Performs max pooling on the input and outputs both max values and indices.
MaxPoolWithArgmax(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolWithArgmax
MaxPoolWithArgmax.Inputs<T> - Class in org.tensorflow.op.nn
MaxPoolWithArgmax.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolWithArgmax
maxQueue - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The maxQueue input
maxRange - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The maximum scalar value possibly produced for the input.
maxRange - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The maximum value of the quantization range.
maxRowsInMemory - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: The maximum number of rows to load from the checkpoint at once.
maxRowsInMemory(Long) - Static method in class org.tensorflow.op.linalg.LoadAndRemapMatrix: Sets the maxRowsInMemory option.
maxRowsInMemory(Long) - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Options: Sets the maxRowsInMemory option.
maxSequenceLengths - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The maxSequenceLengths attribute
maxSequenceLengths - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The maxSequenceLengths attribute
maxSequenceLengths - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The maxSequenceLengths attribute
maxSequenceLengths(Long...) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths(List) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(List) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths(List) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(List) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths(List) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(List) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the maxSequenceLengths option.
maxSize - Variable in class org.tensorflow.op.core.StackCreate.Inputs: The maximum size of the stack if non-negative.
maxsplit - Variable in class org.tensorflow.op.strings.StringSplit.Inputs: An int.
maxsplit(Long) - Static method in class org.tensorflow.op.strings.StringSplit: Sets the maxsplit option.
maxsplit(Long) - Method in class org.tensorflow.op.strings.StringSplit.Options: Sets the maxsplit option.
maxSubdivsPerDevice - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The maxSubdivsPerDevice attribute
maxSubdivsPerDevice(Long) - Static method in class org.tensorflow.op.collective.CollectiveReduceScatter: Sets the maxSubdivsPerDevice option.
maxSubdivsPerDevice(Long) - Method in class org.tensorflow.op.collective.CollectiveReduceScatter.Options: Sets the maxSubdivsPerDevice option.
maxSummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The maxSummand input
maxSummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The maxSummand input
maxTotalSize - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: An int32 scalar representing the maximum number of boxes retained over all classes.
maxUniqueIdsPerPartition - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The maxUniqueIdsPerPartition attribute
maxUniqueIdsPerSparseCore - Variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs: The maxUniqueIdsPerSparseCore attribute
maxUniqueIdsPerSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The maxUniqueIdsPerSparseCore attribute
maxUniqueIdsPerSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The maxUniqueIdsPerSparseCore attribute
maxUniqueIdsPerSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The maxUniqueIdsPerSparseCore attribute
maxUniqueIdsPerSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The maxUniqueIdsPerSparseCore attribute
maxUniqueIdsPerSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The maxUniqueIdsPerSparseCore attribute
maxUniqueIdsPerSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The maxUniqueIdsPerSparseCore attribute
maxUniqueIdsPerSparseCore() - Method in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors: Gets maxUniqueIdsPerSparseCore.
maxUniques - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The maxUniques input
maxUniques() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets maxUniques.
maxval - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: 0-D.
maxval - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: Maximum value (exclusive, scalar).
maxval - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: Maximum value (exclusive, scalar).
maxval - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: Maximum value (exclusive, scalar).
MAXVAL_DEFAULT - Static variable in class org.tensorflow.framework.initializers.RandomUniform
maxvals - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The maximum cutoff.
maxvals - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The maximum cutoff.
maxValue - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The maxValue input
maxX - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The float value that the highest quantized x value represents.
maxX - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The float value that the highest quantized x value represents.
maxY - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The float value that the highest quantized y value represents.
maxY - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The float value that the highest quantized y value represents.
maxZ() - Method in class org.tensorflow.op.math.QuantizedAdd: Gets maxZ.
maxZ() - Method in class org.tensorflow.op.math.QuantizedMul: Gets maxZ.
MAYBE_TYPE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ResourceHandleProto
mayModifyVariables() - Method in class org.tensorflow.op.tpu.Compile: Gets mayModifyVariables.
mean - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 1D Tensor for population mean.
mean(Operand, Operand, Mean.Options...) - Method in class org.tensorflow.op.MathOps: Computes the mean of elements across dimensions of a tensor.
Mean<T> - Class in org.tensorflow.framework.metrics: A metric that that implements a weighted mean MetricReduction.WEIGHTED_MEAN
Mean<T> - Class in org.tensorflow.op.math: Computes the mean of elements across dimensions of a tensor.
Mean(long, Class) - Constructor for class org.tensorflow.framework.metrics.Mean: Creates a Reducible Metric with a metric reductions of MetricReduction.SUM and using Class.getSimpleName() for the metric name.
Mean(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.Mean: Creates a Reducible Metric with a metric reductions of MetricReduction.SUM
Mean(Operation) - Constructor for class org.tensorflow.op.math.Mean
MEAN_DEFAULT - Static variable in class org.tensorflow.framework.initializers.RandomNormal
MEAN_DEFAULT - Static variable in class org.tensorflow.framework.initializers.TruncatedNormal
Mean.Inputs<T> - Class in org.tensorflow.op.math
Mean.Options - Class in org.tensorflow.op.math: Optional attributes for Mean
meanAbsoluteError(Ops, Operand, Operand) - Static method in class org.tensorflow.framework.losses.Losses: Calculates the mean absolute error between labels and predictions.
MeanAbsoluteError - Class in org.tensorflow.framework.losses: Computes the mean of absolute difference between labels and predictions.
MeanAbsoluteError<T> - Class in org.tensorflow.framework.metrics: A metric that computes the mean of absolute difference between labels and predictions.
MeanAbsoluteError() - Constructor for class org.tensorflow.framework.losses.MeanAbsoluteError: Creates a MeanAbsoluteError AbstractLoss using Class.getSimpleName() as the loss name and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
MeanAbsoluteError(long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanAbsoluteError: Creates a Mean Absolute Error metric using Class.getSimpleName() for the metric name.
MeanAbsoluteError(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanAbsoluteError: Creates a Mean Absolute Error metric
MeanAbsoluteError(String, Reduction) - Constructor for class org.tensorflow.framework.losses.MeanAbsoluteError: Creates a MeanAbsoluteError
MeanAbsoluteError(Reduction) - Constructor for class org.tensorflow.framework.losses.MeanAbsoluteError: Creates a MeanAbsoluteError AbstractLoss using Class.getSimpleName() as the loss name
meanAbsolutePercentageError(Ops, Operand, Operand) - Static method in class org.tensorflow.framework.losses.Losses: Calculates the mean absolute percentage error between labels and predictions.
MeanAbsolutePercentageError - Class in org.tensorflow.framework.losses: Computes the mean absolute percentage error between labels and predictions.
MeanAbsolutePercentageError<T> - Class in org.tensorflow.framework.metrics: A metric that computes the mean of absolute difference between labels and predictions.
MeanAbsolutePercentageError() - Constructor for class org.tensorflow.framework.losses.MeanAbsolutePercentageError: Creates a MeanAbsolutePercentageError AbstractLoss using Class.getSimpleName() as the loss name and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
MeanAbsolutePercentageError(long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Creates a Mean Absolute Error metric using Class.getSimpleName() for the metric name.
MeanAbsolutePercentageError(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Creates a Mean Absolute Error metric
MeanAbsolutePercentageError(String, Reduction) - Constructor for class org.tensorflow.framework.losses.MeanAbsolutePercentageError: Creates a MeanAbsolutePercentageError
MeanAbsolutePercentageError(Reduction) - Constructor for class org.tensorflow.framework.losses.MeanAbsolutePercentageError: Creates a MeanAbsolutePercentageError AbstractLoss using Class.getSimpleName() as the loss name
MeanIoU<T> - Class in org.tensorflow.framework.metrics: Computes the mean Intersection-Over-Union metric.
MeanIoU(long, long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanIoU: Creates a metric MeanIoU, using name as Class.getSimpleName()
MeanIoU(String, long, long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanIoU: Creates a MeanIoU metric
MeanRelativeError<T> - Class in org.tensorflow.framework.metrics: Computes the mean relative error by normalizing with the given values.
MeanRelativeError(double[], long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanRelativeError: Creates a MeanRelativeError metric using Class.getSimpleName() as the name
MeanRelativeError(float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanRelativeError: Creates a MeanRelativeError metric using Class.getSimpleName() as the name
MeanRelativeError(String, double[], long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanRelativeError: Creates a MeanRelativeError metric
MeanRelativeError(String, float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanRelativeError: Creates a MeanRelativeError metric
MeanRelativeError(String, Operand, long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanRelativeError: Creates a MeanRelativeError metric
MeanRelativeError(Operand, long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanRelativeError: Creates a MeanRelativeError metric using Class.getSimpleName() as the name
means - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The mean parameter of each batch.
means - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The mean parameter of each batch.
meanSquaredError(Ops, Operand, Operand) - Static method in class org.tensorflow.framework.losses.Losses: Computes the mean squared error between labels and predictions.
MeanSquaredError - Class in org.tensorflow.framework.losses: Computes the mean of squares of errors between labels and predictions.
MeanSquaredError<T> - Class in org.tensorflow.framework.metrics: A metric that computes the mean of absolute difference between labels and predictions.
MeanSquaredError() - Constructor for class org.tensorflow.framework.losses.MeanSquaredError: Creates a MeanSquaredError AbstractLoss using Class.getSimpleName() as the loss name and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
MeanSquaredError(long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanSquaredError: Creates a Mean Absolute Error metric using Class.getSimpleName() for the metric name.
MeanSquaredError(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanSquaredError: Creates a Mean Absolute Error metric
MeanSquaredError(String, Reduction) - Constructor for class org.tensorflow.framework.losses.MeanSquaredError: Creates a MeanSquaredError
MeanSquaredError(Reduction) - Constructor for class org.tensorflow.framework.losses.MeanSquaredError: Creates a MeanSquaredError AbstractLoss using Class.getSimpleName() as the loss name
meanSquaredLogarithmicError(Ops, Operand, Operand) - Static method in class org.tensorflow.framework.losses.Losses: Calculates the mean squared logarithmic error between labels and predictions.
MeanSquaredLogarithmicError - Class in org.tensorflow.framework.losses: Computes the mean squared logarithmic errors between labels and predictions.
MeanSquaredLogarithmicError<T> - Class in org.tensorflow.framework.metrics: A metric that computes the mean of absolute difference between labels and predictions.
MeanSquaredLogarithmicError() - Constructor for class org.tensorflow.framework.losses.MeanSquaredLogarithmicError: Creates a MeanSquaredError AbstractLoss using Class.getSimpleName() as the loss name and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
MeanSquaredLogarithmicError(long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Creates a Mean Absolute Error metric using Class.getSimpleName() for the metric name.
MeanSquaredLogarithmicError(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Creates a Mean Absolute Error metric
MeanSquaredLogarithmicError(String, Reduction) - Constructor for class org.tensorflow.framework.losses.MeanSquaredLogarithmicError: Creates a MeanSquaredError
MeanSquaredLogarithmicError(Reduction) - Constructor for class org.tensorflow.framework.losses.MeanSquaredLogarithmicError: Creates a MeanSquaredError AbstractLoss using Class.getSimpleName() as the loss name
MeanTensor<T> - Class in org.tensorflow.framework.metrics: Metric that computes the element-wise (weighted) mean of the given tensors.
MeanTensor(long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanTensor: Creates a MeanTensor metric, using Class.getSimpleName() as the name
MeanTensor(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.MeanTensor: Creates a MeanTensor metric
MemmappedFileSystem - Class in org.tensorflow.proto
MemmappedFileSystem.MemmappedFileSystemDirectory - Class in org.tensorflow.proto: A directory of regions in a memmapped file.
MemmappedFileSystem.MemmappedFileSystemDirectory.Builder - Class in org.tensorflow.proto: A directory of regions in a memmapped file.
MemmappedFileSystem.MemmappedFileSystemDirectoryElement - Class in org.tensorflow.proto: A message that describes one region of memmapped file.
MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder - Class in org.tensorflow.proto: A message that describes one region of memmapped file.
MemmappedFileSystem.MemmappedFileSystemDirectoryElementOrBuilder - Interface in org.tensorflow.proto
MemmappedFileSystem.MemmappedFileSystemDirectoryOrBuilder - Interface in org.tensorflow.proto
MEMORY_EFFICIENCY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance
MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
MEMORY_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MachineConfiguration
MEMORY_LIMIT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AvailableDeviceInfo
MEMORY_LIMIT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceAttributes
MEMORY_LIMIT_MB_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
MEMORY_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
MEMORY_RATIO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
MEMORY_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
MEMORY_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
MEMORY_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance
memoryConfig - Variable in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost.Inputs: A string-encoded memory config proto containing metadata about the memory allocations reserved for TPUEmbedding.
memoryConfig - Variable in class org.tensorflow.op.tpu.FinalizeTPUEmbedding.Inputs: A string-encoded memory config proto containing metadata about the memory allocations reserved for TPUEmbedding.
memoryConfig() - Method in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory: Gets memoryConfig.
memoryConfigs - Variable in class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory.Inputs: String-encoded memory config protos containing metadata about the memory allocations reserved for TPUEmbedding across all hosts.
MemoryInfo - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryInfo
MemoryInfo.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryInfo
MemoryInfoOrBuilder - Interface in org.tensorflow.proto
memoryLimit - Variable in class org.tensorflow.op.core.MapClear.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.MapSize.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.MapStage.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.Stage.Inputs: The maximum number of bytes allowed for Tensors in the Staging Area.
memoryLimit - Variable in class org.tensorflow.op.core.StageClear.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.StageSize.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.Unstage.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapClear: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapClear.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapPeek: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapPeek.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapSize.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapStage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapStage.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapUnstage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapUnstage.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapClear: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapClear.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapSize.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapStage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapStage.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.Stage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.Stage.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.StageClear: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.StageClear.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.StagePeek: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.StagePeek.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.StageSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.StageSize.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.Unstage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.Unstage.Options: Sets the memoryLimit option.
MemoryLogRawAllocation - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryLogRawAllocation
MemoryLogRawAllocation.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryLogRawAllocation
MemoryLogRawAllocationOrBuilder - Interface in org.tensorflow.proto
MemoryLogRawDeallocation - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryLogRawDeallocation
MemoryLogRawDeallocation.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryLogRawDeallocation
MemoryLogRawDeallocationOrBuilder - Interface in org.tensorflow.proto
MemoryLogStep - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryLogStep
MemoryLogStep.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryLogStep
MemoryLogStepOrBuilder - Interface in org.tensorflow.proto
MemoryLogTensorAllocation - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryLogTensorAllocation
MemoryLogTensorAllocation.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryLogTensorAllocation
MemoryLogTensorAllocationOrBuilder - Interface in org.tensorflow.proto
MemoryLogTensorDeallocation - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryLogTensorDeallocation
MemoryLogTensorDeallocation.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryLogTensorDeallocation
MemoryLogTensorDeallocationOrBuilder - Interface in org.tensorflow.proto
MemoryLogTensorOutput - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryLogTensorOutput
MemoryLogTensorOutput.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.MemoryLogTensorOutput
MemoryLogTensorOutputOrBuilder - Interface in org.tensorflow.proto
memoryRegionName - Variable in class org.tensorflow.op.core.ImmutableConst.Inputs: Name of readonly memory region used by the tensor, see NewReadOnlyMemoryRegionFromFile in tensorflow::Env.
MemoryStats - Class in org.tensorflow.proto: For memory tracking.
MemoryStats.Builder - Class in org.tensorflow.proto: For memory tracking.
MemoryStatsOrBuilder - Interface in org.tensorflow.proto
merge(Iterable) - Method in class org.tensorflow.op.Ops: Forwards the value of an available tensor from inputs to output.
Merge<T> - Class in org.tensorflow.op.core: Forwards the value of an available tensor from inputs to output.
Merge(Operation) - Constructor for class org.tensorflow.op.core.Merge
MERGE_DEVICE_TO_DEVICE_STREAM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
MERGE_DEVICE_TO_HOST_STREAM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
MERGE_HOST_TO_DEVICE_STREAM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
Merge.Inputs<T> - Class in org.tensorflow.op.core
mergeAllocationDescription(AllocationDescription) - Method in class org.tensorflow.proto.TensorDescription.Builder: Information about the size and allocator used for the data
mergeAllowedValues(AttrValue) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
mergeAllowedValues(AttrValue) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: The set of allowed values.
mergeAnyInfo(Any) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
mergeAnyList(CollectionDef.AnyList) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
mergeAsset(SavedObjectGraphOuterClass.SavedAsset) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
mergeAudio(Summary.Audio) - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
mergeAutoParallel(AutoParallelOptions) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
mergeAutotuneOptions(DatasetOptions.AutotuneOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The autotune options associated with the dataset.
mergeBareConcreteFunction(SavedObjectGraphOuterClass.SavedBareConcreteFunction) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
mergeBoundedTensorSpecValue(Struct.BoundedTensorSpecProto) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
mergeBuildConfiguration(BuildConfiguration) - Method in class org.tensorflow.proto.TestResults.Builder: The configuration of the build (compiled opt?
mergeBytesList(BytesList) - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
mergeBytesList(CollectionDef.BytesList) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
mergeCanonicalizedInputSignature(Struct.StructuredValue) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
mergeCapturedTensor(SavedObjectGraphOuterClass.CapturedTensor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
mergeCluster(ClusterDef) - Method in class org.tensorflow.proto.ServerDef.Builder: The cluster of which this server is a member.
mergeClusterDef(ClusterDef) - Method in class org.tensorflow.proto.ConfigProto.Builder: Optional list of all workers to use in this session.
mergeClusterDeviceFilters(ClusterDeviceFilters) - Method in class org.tensorflow.proto.ServerDef.Builder: Device filters for remote tasks in the cluster.
mergeCodeLocation(CodeLocation) - Method in class org.tensorflow.proto.Execution.Builder: Stack trace of the eager execution.
mergeCodeLocation(CodeLocation) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
mergeCommitId(CommitId) - Method in class org.tensorflow.proto.TestResults.Builder: The commit id (git hash or changelist)
mergeCompositeTensor(TensorInfo.CompositeTensor) - Method in class org.tensorflow.proto.TensorInfo.Builder: Generic encoding for CompositeTensors.
mergeCondCtxt(CondContextDef) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
mergeConstant(SavedObjectGraphOuterClass.SavedConstant) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
mergeContext(Features) - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.Features context = 1;
mergeCoordinationConfig(CoordinationConfig.CoordinationServiceConfig) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Distributed coordination service configurations.
mergeCooSparse(TensorInfo.CooSparse) - Method in class org.tensorflow.proto.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
mergeCostGraph(CostGraphDef) - Method in class org.tensorflow.proto.RunMetadata.Builder: The cost graph for the computation defined by the run call.
mergeCpuInfo(CPUInfo) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: CPU Information.
merged() - Method in class org.tensorflow.op.core.DynamicStitch: Gets merged.
merged() - Method in class org.tensorflow.op.core.ParallelDynamicStitch: Gets merged.
mergeData(SavedSlice) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
mergeData(TensorProto) - Method in class org.tensorflow.proto.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
mergeDebuggedDevice(DebuggedDevice) - Method in class org.tensorflow.proto.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
mergeDebuggedGraph(DebuggedGraph) - Method in class org.tensorflow.proto.DebugEvent.Builder: Information about a debugged graph.
mergeDebugInfo(GraphDebugInfo) - Method in class org.tensorflow.proto.GraphDef.Builder: Stack traces for the nodes in this graph.
mergeDebugMetadata(DebugMetadata) - Method in class org.tensorflow.proto.DebugEvent.Builder: Metadata related to this debugging data.
mergeDebugOptions(DebugOptions) - Method in class org.tensorflow.proto.RunOptions.Builder: EXPERIMENTAL.
mergeDedupData(Operand, Operand, String, MergeDedupData.Options...) - Method in class org.tensorflow.op.TpuOps: An op merges elements of integer and float tensors into deduplication data as XLA tuple.
MergeDedupData - Class in org.tensorflow.op.tpu: An op merges elements of integer and float tensors into deduplication data as XLA tuple.
MergeDedupData(Operation) - Constructor for class org.tensorflow.op.tpu.MergeDedupData
MergeDedupData.Inputs - Class in org.tensorflow.op.tpu
MergeDedupData.Options - Class in org.tensorflow.op.tpu: Optional attributes for MergeDedupData
mergeDefaultSessionConfig(ConfigProto) - Method in class org.tensorflow.proto.ServerDef.Builder: The default configuration for sessions that run on this server.
mergeDefaultValue(AttrValue) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
mergeDefaultValue(AttrValue) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
mergeDefaultValue(TensorProto) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
mergeDeprecation(OpDeprecation) - Method in class org.tensorflow.proto.OpDef.Builder: Optional deprecation based on GraphDef versions.
mergeDevice(DevicePropertiesProtos.DeviceProperties) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Device on which the operation is run.
mergeDictValue(Struct.DictValue) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a dict `Value`.
mergeDistributeOptions(DatasetOptions.DistributeOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The distribution strategy options associated with the dataset.
mergedMemoryConfig() - Method in class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory: Gets mergedMemoryConfig.
mergeEntries(BenchmarkEntries) - Method in class org.tensorflow.proto.TestResults.Builder: The list of tests or benchmarks in this run.
mergeExecution(Execution) - Method in class org.tensorflow.proto.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
mergeExecutionTimeLogNormal(OpPerformanceData.LogNormalDistribution) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
mergeExecutionTimeNormal(OpPerformanceData.NormalDistribution) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
mergeExitCode(RequestedExitCode) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
mergeExperimental(ConfigProto.Experimental) - Method in class org.tensorflow.proto.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
mergeExperimental(GPUOptions.Experimental) - Method in class org.tensorflow.proto.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
mergeExperimental(RunOptions.Experimental) - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
mergeExperimentalDebugInfo(NodeDef.ExperimentalDebugInfo) - Method in class org.tensorflow.proto.NodeDef.Builder: This stores debug information associated with the node.
mergeExperimentalFullType(FullTypeDef) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Experimental.
mergeExperimentalType(FullTypeDef) - Method in class org.tensorflow.proto.NodeDef.Builder: The complete type of this node.
mergeFeatureLists(FeatureLists) - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
mergeFeatures(Features) - Method in class org.tensorflow.proto.Example.Builder: .tensorflow.Features features = 1;
mergeFileLineCol(GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
mergeFixedLenFeature(FixedLenFeatureProto) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
mergeFloatList(CollectionDef.FloatList) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
mergeFloatList(FloatList) - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.FloatList float_list = 2;
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.AllocationDescription.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.AllocationRecord.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ApiDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ApiDefs.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.AssetFileDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.AttrValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.BuildConfiguration.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.BundleEntryProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.BytesList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CallableOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ClusterDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CodeLocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CollectionDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CommitId.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CondContextDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ConfigProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CostGraphDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.CPUInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DebugEvent.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DebuggedDevice.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DebuggedGraph.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DebugMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DebugOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DeviceAttributes.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DeviceLocality.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.DeviceStepStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.EntryValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Event.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Example.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Execution.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Feature.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.FeatureList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.FeatureLists.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Features.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.FingerprintDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.FloatList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.FullTypeDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.FunctionDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GPUInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GPUOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GradientDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphOpCreation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.HistogramProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Int64List.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.InterconnectLink.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.JobDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.KernelDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.KernelList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.LocalLinks.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MachineConfiguration.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MemoryInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MemoryLogStep.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MemoryStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MetaGraphDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.MetricEntry.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.NameAttrList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.NamedTensorProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.NodeDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.NodeExecStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.NodeOutput.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpDeprecation.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.OptimizerOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.PlatformInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ReaderBaseState.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.RegisteredGradient.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.RequestedExitCode.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.RewriterConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.RunConfiguration.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.RunMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.RunOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedModel.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedSlice.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SaverDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SequenceExample.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SerializedDType.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ServerDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SessionLog.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SessionMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SignatureDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SourceFile.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SourceMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.StackFrameWithId.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.StatusProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.StepStats.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Struct.DictValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Struct.ListValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Struct.PairValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Summary.Audio.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Summary.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Summary.Image.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.Summary.Value.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SummaryDescription.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SummaryMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TensorConnection.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TensorDescription.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TensorInfo.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TensorProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TensorShapeProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TensorSliceProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TestResults.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.ValuesDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.VariableDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.VerifierConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.VersionDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.WatchdogConfig.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.WhileContextDef.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
mergeFrom(CodedInputStream, ExtensionRegistryLite) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.AllocationDescription.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.AllocationRecord.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ApiDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ApiDefs.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.AssetFileDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.AttrValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.BuildConfiguration.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.BundleEntryProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.BytesList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CallableOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ClusterDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CodeLocation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CollectionDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CommitId.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CondContextDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ConfigProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CostGraphDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.CPUInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DebugEvent.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DebuggedDevice.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DebuggedGraph.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DebugMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DebugOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DeviceAttributes.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DeviceLocality.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.DeviceStepStats.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.EntryValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Event.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Example.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Execution.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Feature.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.FeatureList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.FeatureLists.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Features.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.FingerprintDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.FloatList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.FullTypeDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.FunctionDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GPUInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GPUOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GradientDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphOpCreation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.HistogramProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Int64List.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.InterconnectLink.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.JobDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.KernelDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.KernelList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.LocalLinks.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
mergeFrom(Message) - Method in class org.tensorflow.proto.MachineConfiguration.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MemoryInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MemoryLogStep.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MemoryStats.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MetaGraphDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.MetricEntry.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.NameAttrList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.NamedTensorProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.NodeDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.NodeExecStats.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.NodeOutput.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpDeprecation.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.OptimizerOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.PlatformInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ReaderBaseState.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.RegisteredGradient.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.RequestedExitCode.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.RewriterConfig.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.RunConfiguration.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.RunMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.RunOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedModel.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedSlice.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SaverDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SequenceExample.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SerializedDType.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ServerDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SessionLog.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SessionMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SignatureDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SourceFile.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SourceMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.StackFrameWithId.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.StatusProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.StepStats.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Struct.DictValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Struct.ListValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Struct.PairValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Summary.Audio.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Summary.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Summary.Image.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.Summary.Value.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SummaryDescription.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SummaryMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TensorConnection.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TensorDescription.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TensorInfo.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TensorProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TensorShapeProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TensorSliceProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TestResults.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.ValuesDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.VariableDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.VerifierConfig.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.VersionDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.WatchdogConfig.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.WhileContextDef.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
mergeFrom(Message) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
mergeFrom(AllocationDescription) - Method in class org.tensorflow.proto.AllocationDescription.Builder
mergeFrom(AllocationRecord) - Method in class org.tensorflow.proto.AllocationRecord.Builder
mergeFrom(AllocatorMemoryUsed) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
mergeFrom(ApiDef) - Method in class org.tensorflow.proto.ApiDef.Builder
mergeFrom(ApiDef.Arg) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
mergeFrom(ApiDef.Attr) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
mergeFrom(ApiDef.Endpoint) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
mergeFrom(ApiDefs) - Method in class org.tensorflow.proto.ApiDefs.Builder
mergeFrom(AssetFileDef) - Method in class org.tensorflow.proto.AssetFileDef.Builder
mergeFrom(AttrValue) - Method in class org.tensorflow.proto.AttrValue.Builder
mergeFrom(AttrValue.ListValue) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
mergeFrom(AutoParallelOptions) - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
mergeFrom(AvailableDeviceInfo) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
mergeFrom(BenchmarkEntries) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
mergeFrom(BenchmarkEntry) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
mergeFrom(BfcMemoryMap.BinSummary) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
mergeFrom(BfcMemoryMap.MemAllocatorStats) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
mergeFrom(BfcMemoryMap.MemChunk) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
mergeFrom(BfcMemoryMap.MemoryDump) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
mergeFrom(BfcMemoryMap.SnapShot) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
mergeFrom(BuildConfiguration) - Method in class org.tensorflow.proto.BuildConfiguration.Builder
mergeFrom(BundleEntryProto) - Method in class org.tensorflow.proto.BundleEntryProto.Builder
mergeFrom(BundleHeaderProto) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
mergeFrom(BytesList) - Method in class org.tensorflow.proto.BytesList.Builder
mergeFrom(CallableOptions) - Method in class org.tensorflow.proto.CallableOptions.Builder
mergeFrom(ClusterDef) - Method in class org.tensorflow.proto.ClusterDef.Builder
mergeFrom(ClusterDeviceFilters) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
mergeFrom(CodeLocation) - Method in class org.tensorflow.proto.CodeLocation.Builder
mergeFrom(CollectionDef) - Method in class org.tensorflow.proto.CollectionDef.Builder
mergeFrom(CollectionDef.AnyList) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
mergeFrom(CollectionDef.BytesList) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
mergeFrom(CollectionDef.FloatList) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
mergeFrom(CollectionDef.Int64List) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
mergeFrom(CollectionDef.NodeList) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
mergeFrom(CommitId) - Method in class org.tensorflow.proto.CommitId.Builder
mergeFrom(CompositeTensorVariant.CompositeTensorVariantMetadata) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
mergeFrom(CondContextDef) - Method in class org.tensorflow.proto.CondContextDef.Builder
mergeFrom(ConfigProto) - Method in class org.tensorflow.proto.ConfigProto.Builder
mergeFrom(ConfigProto.Experimental) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
mergeFrom(ControlFlowContextDef) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
mergeFrom(CoordinationConfig.CoordinatedJob) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
mergeFrom(CoordinationConfig.CoordinationServiceConfig) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
mergeFrom(CppShapeInference.CppShapeInferenceInputsNeeded) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
mergeFrom(CppShapeInference.CppShapeInferenceResult) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
mergeFrom(CppShapeInference.CppShapeInferenceResult.HandleData) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
mergeFrom(CppShapeInference.CppShapeInferenceResult.HandleShapeAndType) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
mergeFrom(CorePlatformPayloads.ErrorSourceProto) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
mergeFrom(CostGraphDef) - Method in class org.tensorflow.proto.CostGraphDef.Builder
mergeFrom(CostGraphDef.AggregatedCost) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
mergeFrom(CostGraphDef.Node) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
mergeFrom(CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
mergeFrom(CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
mergeFrom(CPUInfo) - Method in class org.tensorflow.proto.CPUInfo.Builder
mergeFrom(DataService.CrossTrainerCacheOptions) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
mergeFrom(DataService.DataServiceConfig) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
mergeFrom(DataService.DataServiceMetadata) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
mergeFrom(DataService.ProcessingModeDef) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
mergeFrom(Dataset.CompressedComponentMetadata) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
mergeFrom(Dataset.CompressedElement) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
mergeFrom(Dataset.UncompressedElement) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
mergeFrom(DatasetMetadata.Metadata) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
mergeFrom(DatasetOptions.AutotuneOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
mergeFrom(DatasetOptions.CardinalityOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
mergeFrom(DatasetOptions.DistributeOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
mergeFrom(DatasetOptions.OptimizationOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
mergeFrom(DatasetOptions.Options) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
mergeFrom(DatasetOptions.ServiceOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
mergeFrom(DatasetOptions.ThreadingOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
mergeFrom(ServiceConfig.DispatcherConfig) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
mergeFrom(ServiceConfig.WorkerConfig) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
mergeFrom(Snapshot.DistributedSnapshotMetadata) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
mergeFrom(Snapshot.SnapshotMetadataRecord) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
mergeFrom(Snapshot.SnapshotRecord) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
mergeFrom(Snapshot.SnapshotTensorMetadata) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
mergeFrom(Snapshot.TensorMetadata) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
mergeFrom(Model.ModelProto) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
mergeFrom(Model.ModelProto.Node) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
mergeFrom(Model.ModelProto.Node.Parameter) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
mergeFrom(Model.ModelProto.OptimizationParams) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
mergeFrom(DebugEvent) - Method in class org.tensorflow.proto.DebugEvent.Builder
mergeFrom(DebuggedDevice) - Method in class org.tensorflow.proto.DebuggedDevice.Builder
mergeFrom(DebuggedGraph) - Method in class org.tensorflow.proto.DebuggedGraph.Builder
mergeFrom(DebuggedSourceFile) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
mergeFrom(DebuggedSourceFiles) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
mergeFrom(DebugMetadata) - Method in class org.tensorflow.proto.DebugMetadata.Builder
mergeFrom(DebugOptions) - Method in class org.tensorflow.proto.DebugOptions.Builder
mergeFrom(DebugTensorWatch) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
mergeFrom(DeviceAttributes) - Method in class org.tensorflow.proto.DeviceAttributes.Builder
mergeFrom(DeviceLocality) - Method in class org.tensorflow.proto.DeviceLocality.Builder
mergeFrom(DevicePropertiesProtos.DeviceProperties) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
mergeFrom(DevicePropertiesProtos.NamedDevice) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
mergeFrom(DeviceStepStats) - Method in class org.tensorflow.proto.DeviceStepStats.Builder
mergeFrom(DistributedRuntimePayloads.GrpcPayloadContainer) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
mergeFrom(DistributedRuntimePayloads.GrpcPayloadsLost) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
mergeFrom(DistributedRuntimePayloads.WorkerPossiblyRestarted) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
mergeFrom(RemoteTensorHandle) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
mergeFrom(ResourceDtypeAndShape) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
mergeFrom(EntryValue) - Method in class org.tensorflow.proto.EntryValue.Builder
mergeFrom(Event) - Method in class org.tensorflow.proto.Event.Builder
mergeFrom(Example) - Method in class org.tensorflow.proto.Example.Builder
mergeFrom(ExampleParserConfiguration) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
mergeFrom(Execution) - Method in class org.tensorflow.proto.Execution.Builder
mergeFrom(Feature) - Method in class org.tensorflow.proto.Feature.Builder
mergeFrom(FeatureConfiguration) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
mergeFrom(FeatureList) - Method in class org.tensorflow.proto.FeatureList.Builder
mergeFrom(FeatureLists) - Method in class org.tensorflow.proto.FeatureLists.Builder
mergeFrom(Features) - Method in class org.tensorflow.proto.Features.Builder
mergeFrom(FingerprintDef) - Method in class org.tensorflow.proto.FingerprintDef.Builder
mergeFrom(FixedLenFeatureProto) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
mergeFrom(FloatList) - Method in class org.tensorflow.proto.FloatList.Builder
mergeFrom(FullTypeDef) - Method in class org.tensorflow.proto.FullTypeDef.Builder
mergeFrom(FunctionDef) - Method in class org.tensorflow.proto.FunctionDef.Builder
mergeFrom(FunctionDef.ArgAttrs) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
mergeFrom(FunctionDefLibrary) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
mergeFrom(GPUInfo) - Method in class org.tensorflow.proto.GPUInfo.Builder
mergeFrom(GPUOptions) - Method in class org.tensorflow.proto.GPUOptions.Builder
mergeFrom(GPUOptions.Experimental) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
mergeFrom(GPUOptions.Experimental.StreamMergeOptions) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
mergeFrom(GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
mergeFrom(GradientDef) - Method in class org.tensorflow.proto.GradientDef.Builder
mergeFrom(GraphDebugInfo) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
mergeFrom(GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
mergeFrom(GraphDebugInfo.StackTrace) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
mergeFrom(GraphDef) - Method in class org.tensorflow.proto.GraphDef.Builder
mergeFrom(GraphExecutionTrace) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
mergeFrom(GraphOpCreation) - Method in class org.tensorflow.proto.GraphOpCreation.Builder
mergeFrom(GraphOptions) - Method in class org.tensorflow.proto.GraphOptions.Builder
mergeFrom(GraphTransferConstNodeInfo) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
mergeFrom(GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
mergeFrom(GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
mergeFrom(GraphTransferInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
mergeFrom(GraphTransferNodeInfo) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
mergeFrom(GraphTransferNodeInput) - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
mergeFrom(GraphTransferNodeInputInfo) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
mergeFrom(GraphTransferNodeOutputInfo) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
mergeFrom(HistogramProto) - Method in class org.tensorflow.proto.HistogramProto.Builder
mergeFrom(Int64List) - Method in class org.tensorflow.proto.Int64List.Builder
mergeFrom(InterconnectLink) - Method in class org.tensorflow.proto.InterconnectLink.Builder
mergeFrom(JobDef) - Method in class org.tensorflow.proto.JobDef.Builder
mergeFrom(JobDeviceFilters) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
mergeFrom(KernelDef) - Method in class org.tensorflow.proto.KernelDef.Builder
mergeFrom(KernelDef.AttrConstraint) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
mergeFrom(KernelList) - Method in class org.tensorflow.proto.KernelList.Builder
mergeFrom(LocalLinks) - Method in class org.tensorflow.proto.LocalLinks.Builder
mergeFrom(LogMessage) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
mergeFrom(MachineConfiguration) - Method in class org.tensorflow.proto.MachineConfiguration.Builder
mergeFrom(MemmappedFileSystem.MemmappedFileSystemDirectory) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
mergeFrom(MemmappedFileSystem.MemmappedFileSystemDirectoryElement) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
mergeFrom(MemoryInfo) - Method in class org.tensorflow.proto.MemoryInfo.Builder
mergeFrom(MemoryLogRawAllocation) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
mergeFrom(MemoryLogRawDeallocation) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
mergeFrom(MemoryLogStep) - Method in class org.tensorflow.proto.MemoryLogStep.Builder
mergeFrom(MemoryLogTensorAllocation) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
mergeFrom(MemoryLogTensorDeallocation) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
mergeFrom(MemoryLogTensorOutput) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
mergeFrom(MemoryStats) - Method in class org.tensorflow.proto.MemoryStats.Builder
mergeFrom(MetaGraphDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder
mergeFrom(MetaGraphDef.MetaInfoDef) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
mergeFrom(MetricEntry) - Method in class org.tensorflow.proto.MetricEntry.Builder
mergeFrom(NameAttrList) - Method in class org.tensorflow.proto.NameAttrList.Builder
mergeFrom(NamedTensorProto) - Method in class org.tensorflow.proto.NamedTensorProto.Builder
mergeFrom(NodeDef) - Method in class org.tensorflow.proto.NodeDef.Builder
mergeFrom(NodeDef.ExperimentalDebugInfo) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
mergeFrom(NodeExecStats) - Method in class org.tensorflow.proto.NodeExecStats.Builder
mergeFrom(NodeOutput) - Method in class org.tensorflow.proto.NodeOutput.Builder
mergeFrom(OpDef) - Method in class org.tensorflow.proto.OpDef.Builder
mergeFrom(OpDef.ArgDef) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
mergeFrom(OpDef.AttrDef) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
mergeFrom(OpDeprecation) - Method in class org.tensorflow.proto.OpDeprecation.Builder
mergeFrom(OpList) - Method in class org.tensorflow.proto.OpList.Builder
mergeFrom(OpPerformanceData.LogNormalDistribution) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
mergeFrom(OpPerformanceData.NormalDistribution) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
mergeFrom(OpPerformanceData.OpInfo) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
mergeFrom(OpPerformanceData.OpInfo.TensorProperties) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
mergeFrom(OpPerformanceData.OpPerformance) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
mergeFrom(OpPerformanceData.OpPerformance.OpMemory) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
mergeFrom(OpPerformanceData.OpPerformanceList) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
mergeFrom(OpPerformanceData.SessionInfo) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
mergeFrom(OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
mergeFrom(OptimizerOptions) - Method in class org.tensorflow.proto.OptimizerOptions.Builder
mergeFrom(PlatformInfo) - Method in class org.tensorflow.proto.PlatformInfo.Builder
mergeFrom(Xplane.XEvent) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
mergeFrom(Xplane.XEventMetadata) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
mergeFrom(Xplane.XLine) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
mergeFrom(Xplane.XPlane) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
mergeFrom(Xplane.XSpace) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
mergeFrom(Xplane.XStat) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
mergeFrom(Xplane.XStatMetadata) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
mergeFrom(ProfilerOptions.ProfileOptions) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
mergeFrom(ProfilerOptions.RemoteProfilerSessionManagerOptions) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
mergeFrom(QueueRunnerDef) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
mergeFrom(ReaderBaseState) - Method in class org.tensorflow.proto.ReaderBaseState.Builder
mergeFrom(RegisteredGradient) - Method in class org.tensorflow.proto.RegisteredGradient.Builder
mergeFrom(RequestedExitCode) - Method in class org.tensorflow.proto.RequestedExitCode.Builder
mergeFrom(ResourceHandleProto) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
mergeFrom(ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
mergeFrom(RewriterConfig) - Method in class org.tensorflow.proto.RewriterConfig.Builder
mergeFrom(RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
mergeFrom(RpcOptions.RPCOptions) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
mergeFrom(RunConfiguration) - Method in class org.tensorflow.proto.RunConfiguration.Builder
mergeFrom(RunMetadata) - Method in class org.tensorflow.proto.RunMetadata.Builder
mergeFrom(RunMetadata.FunctionGraphs) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
mergeFrom(RunOptions) - Method in class org.tensorflow.proto.RunOptions.Builder
mergeFrom(RunOptions.Experimental) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
mergeFrom(RunOptions.Experimental.RunHandlerPoolOptions) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
mergeFrom(SavedModel) - Method in class org.tensorflow.proto.SavedModel.Builder
mergeFrom(SavedObjectGraphOuterClass.CapturedTensor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
mergeFrom(SavedObjectGraphOuterClass.FunctionSpec) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
mergeFrom(SavedObjectGraphOuterClass.SaveableObject) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
mergeFrom(SavedObjectGraphOuterClass.SavedAsset) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
mergeFrom(SavedObjectGraphOuterClass.SavedBareConcreteFunction) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
mergeFrom(SavedObjectGraphOuterClass.SavedConcreteFunction) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
mergeFrom(SavedObjectGraphOuterClass.SavedConstant) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
mergeFrom(SavedObjectGraphOuterClass.SavedFunction) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
mergeFrom(SavedObjectGraphOuterClass.SavedObject) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
mergeFrom(SavedObjectGraphOuterClass.SavedObjectGraph) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
mergeFrom(SavedObjectGraphOuterClass.SavedResource) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
mergeFrom(SavedObjectGraphOuterClass.SavedUserObject) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
mergeFrom(SavedObjectGraphOuterClass.SavedVariable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
mergeFrom(SavedSlice) - Method in class org.tensorflow.proto.SavedSlice.Builder
mergeFrom(SavedSliceMeta) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
mergeFrom(SavedTensorSliceMeta) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
mergeFrom(SavedTensorSlices) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
mergeFrom(SaverDef) - Method in class org.tensorflow.proto.SaverDef.Builder
mergeFrom(SaveSliceInfoDef) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
mergeFrom(ScopedAllocatorOptions) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
mergeFrom(SequenceExample) - Method in class org.tensorflow.proto.SequenceExample.Builder
mergeFrom(SerializedDType) - Method in class org.tensorflow.proto.SerializedDType.Builder
mergeFrom(ServerDef) - Method in class org.tensorflow.proto.ServerDef.Builder
mergeFrom(SessionLog) - Method in class org.tensorflow.proto.SessionLog.Builder
mergeFrom(SessionMetadata) - Method in class org.tensorflow.proto.SessionMetadata.Builder
mergeFrom(SignatureDef) - Method in class org.tensorflow.proto.SignatureDef.Builder
mergeFrom(SourceFile) - Method in class org.tensorflow.proto.SourceFile.Builder
mergeFrom(SourceMetadata) - Method in class org.tensorflow.proto.SourceMetadata.Builder
mergeFrom(StackFrameWithId) - Method in class org.tensorflow.proto.StackFrameWithId.Builder
mergeFrom(StatusProto) - Method in class org.tensorflow.proto.StatusProto.Builder
mergeFrom(StepStats) - Method in class org.tensorflow.proto.StepStats.Builder
mergeFrom(Struct.BoundedTensorSpecProto) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
mergeFrom(Struct.DictValue) - Method in class org.tensorflow.proto.Struct.DictValue.Builder
mergeFrom(Struct.ListValue) - Method in class org.tensorflow.proto.Struct.ListValue.Builder
mergeFrom(Struct.NamedTupleValue) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
mergeFrom(Struct.NoneValue) - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
mergeFrom(Struct.PairValue) - Method in class org.tensorflow.proto.Struct.PairValue.Builder
mergeFrom(Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
mergeFrom(Struct.TensorSpecProto) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
mergeFrom(Struct.TupleValue) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
mergeFrom(Struct.TypeSpecProto) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
mergeFrom(Summary) - Method in class org.tensorflow.proto.Summary.Builder
mergeFrom(Summary.Audio) - Method in class org.tensorflow.proto.Summary.Audio.Builder
mergeFrom(Summary.Image) - Method in class org.tensorflow.proto.Summary.Image.Builder
mergeFrom(Summary.Value) - Method in class org.tensorflow.proto.Summary.Value.Builder
mergeFrom(SummaryDescription) - Method in class org.tensorflow.proto.SummaryDescription.Builder
mergeFrom(SummaryMetadata) - Method in class org.tensorflow.proto.SummaryMetadata.Builder
mergeFrom(SummaryMetadata.PluginData) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
mergeFrom(TaggedRunMetadata) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
mergeFrom(TaskDeviceFilters) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
mergeFrom(TensorConnection) - Method in class org.tensorflow.proto.TensorConnection.Builder
mergeFrom(TensorDescription) - Method in class org.tensorflow.proto.TensorDescription.Builder
mergeFrom(TensorInfo) - Method in class org.tensorflow.proto.TensorInfo.Builder
mergeFrom(TensorInfo.CompositeTensor) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
mergeFrom(TensorInfo.CooSparse) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
mergeFrom(TensorProto) - Method in class org.tensorflow.proto.TensorProto.Builder
mergeFrom(TensorShapeProto) - Method in class org.tensorflow.proto.TensorShapeProto.Builder
mergeFrom(TensorShapeProto.Dim) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
mergeFrom(TensorSliceProto) - Method in class org.tensorflow.proto.TensorSliceProto.Builder
mergeFrom(TensorSliceProto.Extent) - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
mergeFrom(TestResults) - Method in class org.tensorflow.proto.TestResults.Builder
mergeFrom(ThreadPoolOptionProto) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
mergeFrom(TrackableObjectGraphOuterClass.RegisteredSaver) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
mergeFrom(TrackableObjectGraphOuterClass.TrackableObjectGraph) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
mergeFrom(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
mergeFrom(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
mergeFrom(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
mergeFrom(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
mergeFrom(TransportOptions.RecvBufRespExtra) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
mergeFrom(UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
mergeFrom(ValuesDef) - Method in class org.tensorflow.proto.ValuesDef.Builder
mergeFrom(VariableDef) - Method in class org.tensorflow.proto.VariableDef.Builder
mergeFrom(VariantTensorDataProto) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
mergeFrom(VarLenFeatureProto) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
mergeFrom(VerifierConfig) - Method in class org.tensorflow.proto.VerifierConfig.Builder
mergeFrom(VersionDef) - Method in class org.tensorflow.proto.VersionDef.Builder
mergeFrom(WatchdogConfig) - Method in class org.tensorflow.proto.WatchdogConfig.Builder
mergeFrom(WhileContextDef) - Method in class org.tensorflow.proto.WhileContextDef.Builder
mergeFrom(WorkerHeartbeatRequest) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
mergeFrom(WorkerHeartbeatResponse) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
mergeFullargspec(Struct.StructuredValue) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
mergeFunc(NameAttrList) - Method in class org.tensorflow.proto.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
mergeFunction(SavedObjectGraphOuterClass.SavedFunction) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
mergeFunctionGraph(GraphDef) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Optimized function graph.
mergeFunctionSpec(SavedObjectGraphOuterClass.FunctionSpec) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
mergeFunctionSpec(SavedObjectGraphOuterClass.FunctionSpec) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
mergeGpuOptions(GPUOptions) - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all GPUs.
mergeGraphDef(GraphDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: GraphDef.
mergeGraphExecutionTrace(GraphExecutionTrace) - Method in class org.tensorflow.proto.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
mergeGraphOpCreation(GraphOpCreation) - Method in class org.tensorflow.proto.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
mergeGraphOptions(GraphOptions) - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all graphs.
mergeHandleData(CppShapeInference.CppShapeInferenceResult.HandleData) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
mergeHasCheckpointValues(BoolValue) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Whether this object has checkpoint values or descendants with checkpoint values.
mergeHisto(HistogramProto) - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
mergeImage(Summary.Image) - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
mergeInputSignature(Struct.StructuredValue) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: The input signature, if specified.
mergeInt64List(CollectionDef.Int64List) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
mergeInt64List(Int64List) - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.Int64List int64_list = 3;
mergeInterOptimizerVerifierConfig(VerifierConfig) - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
mergeLibrary(FunctionDefLibrary) - Method in class org.tensorflow.proto.GraphDef.Builder: "library" provides user-defined functions.
mergeLinks(LocalLinks) - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional local interconnect links to other devices.
mergeList(AttrValue.ListValue) - Method in class org.tensorflow.proto.AttrValue.Builder: any "list(...)"
mergeListValue(Struct.ListValue) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a list of `Value`.
mergeLocality(DeviceLocality) - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
mergeLogMessage(LogMessage) - Method in class org.tensorflow.proto.Event.Builder: Deprecated.
mergeMachineConfiguration(MachineConfiguration) - Method in class org.tensorflow.proto.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
mergeMaximum(TensorProto) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
mergeMaxValue(DoubleValue) - Method in class org.tensorflow.proto.MetricEntry.Builder: The maximum acceptable value for the metric if specified
mergeMemoryInfo(MemoryInfo) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
mergeMemoryStats(MemoryStats) - Method in class org.tensorflow.proto.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
mergeMeta(SavedTensorSliceMeta) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
mergeMetadata(SummaryMetadata) - Method in class org.tensorflow.proto.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
mergeMetaInfoDef(MetaGraphDef.MetaInfoDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
mergeMinimum(TensorProto) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
mergeMinValue(DoubleValue) - Method in class org.tensorflow.proto.MetricEntry.Builder: The minimum acceptable value for the metric if specified
mergeNamedTupleValue(Struct.NamedTupleValue) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents Python's namedtuple.
mergeNodeList(CollectionDef.NodeList) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
mergeNoneValue(Struct.NoneValue) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents None.
mergeNumpyValue(TensorProto) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for np.ndarray.
mergeObjectGraphDef(SavedObjectGraphOuterClass.SavedObjectGraph) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
mergeOp - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The mergeOp attribute
mergeOp(OpPerformanceData.OpInfo) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The op
mergeOpMemory(OpPerformanceData.OpPerformance.OpMemory) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
mergeOptimizationOptions(DatasetOptions.OptimizationOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The optimization options associated with the dataset.
mergeOptimizationParams(Model.ModelProto.OptimizationParams) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
mergeOptimizerOptions(OptimizerOptions) - Method in class org.tensorflow.proto.GraphOptions.Builder: Options controlling how graph is optimized.
mergeOutputSignature(Struct.StructuredValue) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
mergePlatformInfo(PlatformInfo) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Additional platform information.
mergePluggableDeviceOptions(GPUOptions) - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to pluggable devices.
mergePluginData(SummaryMetadata.PluginData) - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
mergePostOptimizationGraph(GraphDef) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
mergePostOptimizationVerifierConfig(VerifierConfig) - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
mergePreOptimizationGraph(GraphDef) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
mergeProfilerOptions(ProfilerOptions.ProfileOptions) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
mergeProperties(DevicePropertiesProtos.DeviceProperties) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
mergeRegisteredSaver(TrackableObjectGraphOuterClass.RegisteredSaver) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: The registered saver used to save this object.
mergeRepeated - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: If true, merge repeated classes in output.
mergeRepeated - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: If True, merge repeated classes in output.
mergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Sets the mergeRepeated option.
mergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Options: Sets the mergeRepeated option.
mergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcGreedyDecoder: Sets the mergeRepeated option.
mergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcGreedyDecoder.Options: Sets the mergeRepeated option.
mergeResource(SavedObjectGraphOuterClass.SavedResource) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
mergeRewriteOptions(RewriterConfig) - Method in class org.tensorflow.proto.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
mergeRpcOptions(RpcOptions.RPCOptions) - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
mergeRunConfiguration(RunConfiguration) - Method in class org.tensorflow.proto.TestResults.Builder: Run-specific parameters (arguments, etc)
mergeRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
mergeRunOptions(RunOptions) - Method in class org.tensorflow.proto.CallableOptions.Builder: Options that will be applied to each run.
mergeSaverDef(SaverDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: SaverDef.
mergeSaveSliceInfoDef(SaveSliceInfoDef) - Method in class org.tensorflow.proto.VariableDef.Builder: Support for saving variables as slices of a larger variable.
mergeScopedAllocatorOpts(ScopedAllocatorOptions) - Method in class org.tensorflow.proto.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
mergeSerializedUserProto(Any) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
mergeServiceOptions(DatasetOptions.ServiceOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The tf.data service options associated with the dataset.
mergeSessionInfo(OpPerformanceData.SessionInfo) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Information about the session configs.
mergeSessionInfo(OpPerformanceData.SessionInfo) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Deprecated.
mergeSessionLog(SessionLog) - Method in class org.tensorflow.proto.Event.Builder: The state of the session which can be used for restarting after crashes.
mergeSessionMetadata(SessionMetadata) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Metadata about the session.
mergeSessionMetadata(SessionMetadata) - Method in class org.tensorflow.proto.RunMetadata.Builder: Metadata about the session.
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.AttrValue.Builder: "shape"
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.TensorShapeProto shape = 1;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.TensorShapeProto shape = 1;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Shape of the tensor.
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Shape of the tensor
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
mergeShape(TensorShapeProto) - Method in class org.tensorflow.proto.TensorDescription.Builder: Shape of the tensor.
mergeSignature(OpDef) - Method in class org.tensorflow.proto.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
mergeSlice(TensorSliceProto) - Method in class org.tensorflow.proto.SavedSlice.Builder: Extent of the slice.
mergeSourceFile(SourceFile) - Method in class org.tensorflow.proto.DebugEvent.Builder: The content of a source file.
mergeSourceMetadata(SourceMetadata) - Method in class org.tensorflow.proto.Event.Builder: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
mergeStackFrameWithId(StackFrameWithId) - Method in class org.tensorflow.proto.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
mergeStats(BfcMemoryMap.MemAllocatorStats) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
mergeStepStats(StepStats) - Method in class org.tensorflow.proto.RunMetadata.Builder: Statistics traced for this step.
mergeStreamMergeOptions(GPUOptions.Experimental.StreamMergeOptions) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
mergeStrippedOpList(OpList) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
mergeSummary(Iterable) - Method in class org.tensorflow.op.SummaryOps: Merges summaries.
mergeSummary(Summary) - Method in class org.tensorflow.proto.Event.Builder: A summary was generated.
MergeSummary - Class in org.tensorflow.op.summary: Merges summaries.
MergeSummary(Operation) - Constructor for class org.tensorflow.op.summary.MergeSummary
MergeSummary.Inputs - Class in org.tensorflow.op.summary
mergeTaggedRunMetadata(TaggedRunMetadata) - Method in class org.tensorflow.proto.Event.Builder: The metadata returned by running a session.run() call.
mergeTensor(TensorDescription) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Allocated tensor details.
mergeTensor(TensorDescription) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Output tensor details.
mergeTensor(TensorProto) - Method in class org.tensorflow.proto.AttrValue.Builder: "tensor"
mergeTensor(TensorProto) - Method in class org.tensorflow.proto.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
mergeTensor(TensorProto) - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
mergeTensorDescription(TensorDescription) - Method in class org.tensorflow.proto.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
mergeTensorInfo(TensorInfo) - Method in class org.tensorflow.proto.AssetFileDef.Builder: The tensor to bind the asset filename to.
mergeTensorProto(TensorProto) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
mergeTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The shape of the component tensor.
mergeTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
mergeTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
mergeTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.TensorProto.Builder: Shape of the tensor.
mergeTensorShapeValue(TensorShapeProto) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a TensorShape.
mergeTensorSpecValue(Struct.TensorSpecProto) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TensorSpec.
mergeTensorValue(TensorProto) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.Tensor.
mergeThreadingOptions(DatasetOptions.ThreadingOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The threading options associated with the dataset.
mergeTupleValue(Struct.TupleValue) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a tuple of `Value`.
mergeType(FullTypeDef) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.FullTypeDef type = 4;
mergeTypeSpec(Struct.TypeSpecProto) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
mergeTypeSpecProto(Struct.TypeSpecProto) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
mergeTypeSpecValue(Struct.TypeSpecProto) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TypeSpec.
mergeTypeState(Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The value returned by TypeSpec.
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AllocationDescription.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AllocationRecord.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ApiDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ApiDefs.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AssetFileDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AttrValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BuildConfiguration.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BundleEntryProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BytesList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CallableOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ClusterDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CodeLocation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CollectionDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CommitId.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CondContextDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ConfigProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CostGraphDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CPUInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebugEvent.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebuggedDevice.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebuggedGraph.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebugMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebugOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DeviceAttributes.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DeviceLocality.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DeviceStepStats.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.EntryValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Event.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Example.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Execution.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Feature.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FeatureList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FeatureLists.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Features.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FingerprintDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FloatList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FullTypeDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FunctionDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GPUInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GPUOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GradientDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphOpCreation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.HistogramProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Int64List.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.InterconnectLink.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.JobDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.KernelDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.KernelList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.LocalLinks.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MachineConfiguration.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryLogStep.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryStats.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MetaGraphDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MetricEntry.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.NameAttrList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.NamedTensorProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.NodeDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.NodeExecStats.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.NodeOutput.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpDeprecation.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OptimizerOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.PlatformInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ReaderBaseState.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RegisteredGradient.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RequestedExitCode.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RewriterConfig.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RunConfiguration.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RunMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RunOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedModel.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedSlice.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SaverDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SequenceExample.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SerializedDType.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ServerDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SessionLog.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SessionMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SignatureDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SourceFile.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SourceMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.StackFrameWithId.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.StatusProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.StepStats.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.DictValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.ListValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.PairValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Summary.Audio.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Summary.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Summary.Image.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Summary.Value.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SummaryDescription.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SummaryMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorConnection.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorDescription.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorInfo.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorShapeProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorSliceProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TestResults.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ValuesDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.VariableDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.VerifierConfig.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.VersionDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.WatchdogConfig.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.WhileContextDef.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
mergeUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
mergeUserObject(SavedObjectGraphOuterClass.SavedUserObject) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
mergeV2Checkpoints(Operand, Operand, MergeV2Checkpoints.Options...) - Method in class org.tensorflow.op.TrainOps: V2 format specific: merges the metadata files of sharded checkpoints.
MergeV2Checkpoints - Class in org.tensorflow.op.train: V2 format specific: merges the metadata files of sharded checkpoints.
MergeV2Checkpoints(Operation) - Constructor for class org.tensorflow.op.train.MergeV2Checkpoints
MergeV2Checkpoints.Inputs - Class in org.tensorflow.op.train
MergeV2Checkpoints.Options - Class in org.tensorflow.op.train: Optional attributes for MergeV2Checkpoints
mergeValue(Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.PairValue.Builder: .tensorflow.StructuredValue value = 2;
mergeValue(TensorProto) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
mergeValuesDef(ValuesDef) - Method in class org.tensorflow.proto.CondContextDef.Builder: Values and external values in control flow context.
mergeValuesDef(ValuesDef) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Values and external values in control flow context.
mergeVariable(SavedObjectGraphOuterClass.SavedVariable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
mergeVarLenFeature(VarLenFeatureProto) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
mergeVersion(VersionDef) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
mergeVersion(VersionDef) - Method in class org.tensorflow.proto.FingerprintDef.Builder: Version specification of the fingerprint.
mergeVersion(VersionDef) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
mergeVersions(VersionDef) - Method in class org.tensorflow.proto.GraphDef.Builder: Compatibility versions of the graph.
mergeVersions(VersionDef) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
mergeWatchdogConfig(WatchdogConfig) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
mergeWhileCtxt(WhileContextDef) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
mesh - Variable in class org.tensorflow.op.core.CopyToMesh.Inputs: The mesh attribute
message - Variable in class org.tensorflow.op.debugging.CheckNumerics.Inputs: Prefix of the error message.
message - Variable in class org.tensorflow.op.train.PreventGradient.Inputs: Will be printed in the error when anyone tries to differentiate this operation.
message(String) - Static method in class org.tensorflow.op.train.PreventGradient: Sets the message option.
message(String) - Method in class org.tensorflow.op.train.PreventGradient.Options: Sets the message option.
MESSAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.LogMessage: Deprecated.
MESSAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.StatusProto
messageFormat - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Either binary or text.
messageFormat(String) - Static method in class org.tensorflow.op.core.DecodeProto: Sets the messageFormat option.
messageFormat(String) - Method in class org.tensorflow.op.core.DecodeProto.Options: Sets the messageFormat option.
messageType - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Name of the proto message type to decode.
messageType - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: Name of the proto message type to decode.
META_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedTensorSlices
meta_graph_def - Variable in class org.tensorflow.internal.c_api.AbstractTF_Session
META_GRAPH_DEF - Enum constant in enum org.tensorflow.proto.Event.WhatCase
META_GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Event
META_GRAPH_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
META_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedModel
META_INFO_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef
META_OPTIMIZER_ITERATIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
metadata - Variable in class org.tensorflow.op.core.CompositeTensorVariantFromComponents.Inputs: String serialization for the TypeSpec.
metadata - Variable in class org.tensorflow.op.core.CompositeTensorVariantToComponents.Inputs: String serialization for the TypeSpec.
metadata - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.DatasetToSingleElement.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.GlobalShuffleDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.IndexFlatMapDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ListDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.TensorDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.TextLineDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.UnbatchDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.UniqueDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.WeightedFlatMapDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ZipDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.tpu.Compile.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.train.DistributedSave.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.BatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.BatchDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.CacheDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.CacheDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ConcatenateDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ConcatenateDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.DatasetToSingleElement: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.DatasetToSingleElement.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.FilterDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.FilterDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.FixedLengthRecordDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.FixedLengthRecordDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.FlatMapDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.FlatMapDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.GeneratorDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.GeneratorDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.GlobalShuffleDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.GlobalShuffleDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.GroupByWindowDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.GroupByWindowDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.IndexFlatMapDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.IndexFlatMapDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.InterleaveDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.InterleaveDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ListDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ListDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.MapAndBatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.MapAndBatchDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.MapDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.MapDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.OptionsDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.OptionsDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.PaddedBatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.PaddedBatchDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ParallelBatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ParallelBatchDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ParallelFilterDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ParallelFilterDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ParallelInterleaveDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ParallelInterleaveDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.PrefetchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.PrefetchDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.RandomDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.RandomDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.RangeDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.RangeDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ReduceDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ReduceDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.RegisterDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.RegisterDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.RepeatDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.RepeatDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ScanDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ScanDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ShardDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ShardDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ShuffleAndRepeatDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ShuffleDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ShuffleDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.SkipDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.SkipDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.TakeDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TakeDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.TakeWhileDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TakeWhileDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.TensorDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TensorDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.TensorSliceDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TensorSliceDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.TextLineDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TextLineDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.TfRecordDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TfRecordDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.UnbatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.UnbatchDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.UniqueDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.UniqueDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.WeightedFlatMapDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.WeightedFlatMapDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.WindowDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.WindowDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ZipDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ZipDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.train.DistributedSave: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.train.DistributedSave.Options: Sets the metadata option.
METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Value
METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VariantTensorDataProto
METADATA_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XEvent
METADATA_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XStat
metaGraphDef() - Method in class org.tensorflow.SavedModelBundle: Returns the MetaGraphDef protocol buffer associated with the saved model.
MetaGraphDef - Class in org.tensorflow.proto: Protocol buffer containing the following which are necessary to restart training, run inference.
MetaGraphDef.Builder - Class in org.tensorflow.proto: Protocol buffer containing the following which are necessary to restart training, run inference.
MetaGraphDef.MetaInfoDef - Class in org.tensorflow.proto: Meta information regarding the graph to be exported.
MetaGraphDef.MetaInfoDef.Builder - Class in org.tensorflow.proto: Meta information regarding the graph to be exported.
MetaGraphDef.MetaInfoDefOrBuilder - Interface in org.tensorflow.proto
MetaGraphDefOrBuilder - Interface in org.tensorflow.proto
MetaGraphProtos - Class in org.tensorflow.proto
method - Variable in class org.tensorflow.op.core.Fingerprint.Inputs: Fingerprint method used by this op.
method - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A string specifying the sampling method for resizing.
method - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A string specifying the interpolation method.
method - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A string specifying the interpolation method.
method(String) - Static method in class org.tensorflow.op.image.CropAndResize: Sets the method option.
method(String) - Method in class org.tensorflow.op.image.CropAndResize.Options: Sets the method option.
method(String) - Static method in class org.tensorflow.op.image.CropAndResizeGradBoxes: Sets the method option.
method(String) - Method in class org.tensorflow.op.image.CropAndResizeGradBoxes.Options: Sets the method option.
method(String) - Static method in class org.tensorflow.op.image.CropAndResizeGradImage: Sets the method option.
method(String) - Method in class org.tensorflow.op.image.CropAndResizeGradImage.Options: Sets the method option.
METHOD_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SignatureDef
methodName() - Method in class org.tensorflow.Signature: Returns the method name of this signature (e.g. as exposed by TF serving) or null if none
methodName(String) - Method in class org.tensorflow.Signature.Builder: Provide extensible name information enabling third-party users to mark a signature as supporting a particular method
Metric - Interface in org.tensorflow.framework.metrics: Interface for metrics
MetricEntry - Class in org.tensorflow.proto: Protobuf type tensorflow.MetricEntry
MetricEntry.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.MetricEntry
MetricEntryOrBuilder - Interface in org.tensorflow.proto
MetricReduction - Enum in org.tensorflow.framework.metrics: Defines the different types of metric reductions
Metrics - Class in org.tensorflow.framework.metrics: Static methods for computing metrics.
Metrics() - Constructor for class org.tensorflow.framework.metrics.Metrics
METRICS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BenchmarkEntry
mfcc(Operand, Operand, Mfcc.Options...) - Method in class org.tensorflow.op.AudioOps: Transforms a spectrogram into a form that's useful for speech recognition.
Mfcc - Class in org.tensorflow.op.audio: Transforms a spectrogram into a form that's useful for speech recognition.
Mfcc(Operation) - Constructor for class org.tensorflow.op.audio.Mfcc
Mfcc.Inputs - Class in org.tensorflow.op.audio
Mfcc.Options - Class in org.tensorflow.op.audio: Optional attributes for Mfcc
mg - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: Value of mg used in the centered RMSProp optimization algorithm.
mg - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Should be from a Variable().
mg - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Should be from a Variable().
mg - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
mg - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
mg() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Gets mg.
MG - Static variable in class org.tensorflow.framework.optimizers.RMSProp
MHZ_PER_CPU_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CPUInfo
min - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The min value(s) to clip operand.
min - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: The min input
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The min attribute
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: The min attribute
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The min input
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: The min input
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The min input
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: The min input
min(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Sets the min option.
min(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options: Sets the min option.
min(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Sets the min option.
min(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options: Sets the min option.
min(Operand, Operand, Min.Options...) - Method in class org.tensorflow.op.Ops: Computes the minimum of elements across dimensions of a tensor.
Min<T> - Class in org.tensorflow.op.core: Computes the minimum of elements across dimensions of a tensor.
Min(Operation) - Constructor for class org.tensorflow.op.core.Min
MIN_CONSUMER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VersionDef
MIN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
MIN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.HistogramProto
MIN_GRAPH_NODES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
MIN_VALUE_DEFAULT - Static variable in class org.tensorflow.framework.constraints.MinMaxNorm
MIN_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetricEntry
Min.Inputs<T> - Class in org.tensorflow.op.core
Min.Options - Class in org.tensorflow.op.core: Optional attributes for Min
minA - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The float value that the lowest quantized a value represents.
minA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The float value that the lowest quantized a value represents.
minA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The float value that the lowest quantized a value represents.
minA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the lowest quantized a value represents.
minA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The minA input
minA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The minA input
minActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu: Gets minActivations.
minActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu6: Gets minActivations.
minActivations() - Method in class org.tensorflow.op.nn.QuantizedReluX: Gets minActivations.
minAfterDequeue - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: Dequeue will block unless there would be this many elements after the dequeue or the queue is closed.
minAfterDequeue(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the minAfterDequeue option.
minAfterDequeue(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the minAfterDequeue option.
minB - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The float value that the lowest quantized b value represents.
minB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The float value that the lowest quantized b value represents.
minB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The float value that the lowest quantized b value represents.
minB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the lowest quantized b value represents.
minB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The minB input
minB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The minB input
minBias - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The float value that the lowest quantized bias value represents.
minCount - Variable in class org.tensorflow.op.core.Skipgram.Inputs: The minimum number of word occurrences for it to be included in the vocabulary.
minCount(Long) - Static method in class org.tensorflow.op.core.Skipgram: Sets the minCount option.
minCount(Long) - Method in class org.tensorflow.op.core.Skipgram.Options: Sets the minCount option.
minFeatures - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The float value that the lowest quantized value represents.
minFeatures - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The float value that the lowest quantized value represents.
minFeatures - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The float value that the lowest quantized value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The float value that the lowest quantized filter value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The minimum value of the filter tensor.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The float value that the minimum quantized filter value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The float value that the minimum quantized filter value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The float value that the minimum quantized filter value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The float value that the minimum quantized filter value represents.
minFreezedOutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the highest quantized output value after requantize.
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The minimum float value of the output tensor.
minFreezedOutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The minFreezedOutput input
miniBatchInCsr - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The miniBatchInCsr attribute
miniBatchSplits - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The miniBatchSplits attribute
miniBatchSplits - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The miniBatchSplits attribute
minimize(Operand) - Method in class org.tensorflow.framework.optimizers.Optimizer: Minimizes the loss by updating the variables
minimize(Operand, String) - Method in class org.tensorflow.framework.optimizers.Optimizer: Minimizes the loss by updating the variables
minimum(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns the min of x and y (i.e. x < y ?
Minimum<T> - Class in org.tensorflow.op.math: Returns the min of x and y (i.e. x < y ?
Minimum(Operation) - Constructor for class org.tensorflow.op.math.Minimum
MINIMUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.AttrDef
MINIMUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
Minimum.Inputs<T> - Class in org.tensorflow.op.math
minInput - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The float value that the lowest quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The float value that the lowest quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The float value that the lowest quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The minimum value of the input tensor
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The float value that the minimum quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The float value that the minimum quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The float value that the minimum quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The float value that the minimum quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The float value that the lowest quantized input value represents.
minlength - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Minimum value to count.
minlength - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Minimum value to count.
minlength - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Minimum value to count.
minlength(Long) - Static method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Sets the minlength option.
minlength(Long) - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Options: Sets the minlength option.
minlength(Long) - Static method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Sets the minlength option.
minlength(Long) - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput.Options: Sets the minlength option.
minlength(Long) - Static method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Sets the minlength option.
minlength(Long) - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput.Options: Sets the minlength option.
MinMaxNorm - Class in org.tensorflow.framework.constraints: Constrains the weights to have the norm between a lower bound and an upper bound.
MinMaxNorm() - Constructor for class org.tensorflow.framework.constraints.MinMaxNorm: Create a MinMaxNorm constraint using MinMaxNorm.MIN_VALUE_DEFAULT for the min value, MinMaxNorm.MAX_VALUE_DEFAULT for the max value, MinMaxNorm.RATE_DEFAULT for the rate and MinMaxNorm.AXIS_DEFAULT for the axis
MinMaxNorm(double, double) - Constructor for class org.tensorflow.framework.constraints.MinMaxNorm: Create a MinMaxNorm constraint using MinMaxNorm.RATE_DEFAULT for the rate and MinMaxNorm.AXIS_DEFAULT for the axis
MinMaxNorm(double, double, double, int) - Constructor for class org.tensorflow.framework.constraints.MinMaxNorm: Create a MinMaxNorm constraint
MinMaxNorm(double, double, double, int[]) - Constructor for class org.tensorflow.framework.constraints.MinMaxNorm: Create a MinMaxNorm constraint
minObjectCovered - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: The cropped area of the image must contain at least this fraction of any bounding box supplied.
minObjectCovered - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The cropped area of the image must contain at least this fraction of any bounding box supplied.
MINORING - Enum constant in enum org.tensorflow.framework.metrics.AUCSummationMethod: Apply left summation for increasing intervals and right summation for decreasing intervals
minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMul: Gets minOut.
minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Gets minOut.
minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Gets minOut.
minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Gets minOut.
minOut() - Method in class org.tensorflow.op.nn.QuantizedBiasAdd: Gets minOut.
minOut() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Gets minOut.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedAvgPool: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2d: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedMaxPool: Gets minOutput.
minRange - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The minimum scalar value possibly produced for the input.
minRange - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The minimum value of the quantization range.
minSeparation - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: Minimum value of y_max - y_min
minSeparation(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the minSeparation option.
minSeparation(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the minSeparation option.
minSize - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A scalar float tensor.
minSummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The minSummand input
minSummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The minSummand input
minval - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: 0-D.
minval - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: Minimum value (inclusive, scalar).
minval - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: Minimum value (inclusive, scalar).
minval - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: Minimum value (inclusive, scalar).
MINVAL_DEFAULT - Static variable in class org.tensorflow.framework.initializers.RandomUniform
minvals - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The minimum cutoff.
minvals - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The minimum cutoff.
minX - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The float value that the lowest quantized x value represents.
minX - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The float value that the lowest quantized x value represents.
minY - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The float value that the lowest quantized y value represents.
minY - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The float value that the lowest quantized y value represents.
minZ() - Method in class org.tensorflow.op.math.QuantizedAdd: Gets minZ.
minZ() - Method in class org.tensorflow.op.math.QuantizedMul: Gets minZ.
mirrorPad(Operand, Operand, String) - Method in class org.tensorflow.op.Ops: Pads a tensor with mirrored values.
MirrorPad<T> - Class in org.tensorflow.op.core: Pads a tensor with mirrored values.
MirrorPad(Operation) - Constructor for class org.tensorflow.op.core.MirrorPad
MirrorPad.Inputs<T> - Class in org.tensorflow.op.core
mirrorPadGrad(Operand, Operand, String) - Method in class org.tensorflow.op.Ops: Gradient op for MirrorPad op.
MirrorPadGrad<T> - Class in org.tensorflow.op.core: Gradient op for MirrorPad op.
MirrorPadGrad(Operation) - Constructor for class org.tensorflow.op.core.MirrorPadGrad
MirrorPadGrad.Inputs<T> - Class in org.tensorflow.op.core
mixedPriorityPolicy - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The mixedPriorityPolicy attribute
mixedPriorityPolicy(String) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the mixedPriorityPolicy option.
mixedPriorityPolicy(String) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the mixedPriorityPolicy option.
MLIR_BRIDGE_PHASE_1 - Enum constant in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: TPUBridge.
MLIR_BRIDGE_PHASE_1_VALUE - Static variable in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: TPUBridge.
MLIR_BRIDGE_PHASE_2 - Enum constant in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: LegalizeToHlo.
MLIR_BRIDGE_PHASE_2_VALUE - Static variable in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: LegalizeToHlo.
MLIR_BRIDGE_ROLLOUT_DISABLED - Enum constant in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout: Disabling the MLIR bridge disables it for all graphs in this session.
MLIR_BRIDGE_ROLLOUT_DISABLED_VALUE - Static variable in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout: Disabling the MLIR bridge disables it for all graphs in this session.
MLIR_BRIDGE_ROLLOUT_ENABLED - Enum constant in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout: Enabling the MLIR bridge enables it for all graphs in this session.
MLIR_BRIDGE_ROLLOUT_ENABLED_VALUE - Static variable in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout: Enabling the MLIR bridge enables it for all graphs in this session.
MLIR_BRIDGE_ROLLOUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
MLIR_BRIDGE_ROLLOUT_UNSPECIFIED - Enum constant in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout: If this field is left unspecified, the MLIR bridge may be selectively enabled on a per graph basis.
MLIR_BRIDGE_ROLLOUT_UNSPECIFIED_VALUE - Static variable in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout: If this field is left unspecified, the MLIR bridge may be selectively enabled on a per graph basis.
mlirModule - Variable in class org.tensorflow.op.core.MlirPassthroughOp.Inputs: The mlirModule attribute
mlirPassthroughOp(Iterable, String, List) - Method in class org.tensorflow.op.Ops: Wraps an arbitrary MLIR computation expressed as a module with a main() function.
MlirPassthroughOp - Class in org.tensorflow.op.core: Wraps an arbitrary MLIR computation expressed as a module with a main() function.
MlirPassthroughOp(Operation) - Constructor for class org.tensorflow.op.core.MlirPassthroughOp
MlirPassthroughOp.Inputs - Class in org.tensorflow.op.core
mMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized mean.
mMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized mean.
mod(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns element-wise remainder of division.
Mod<T> - Class in org.tensorflow.op.math: Returns element-wise remainder of division.
Mod(Operation) - Constructor for class org.tensorflow.op.math.Mod
Mod.Inputs<T> - Class in org.tensorflow.op.math
mode - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: Either REFLECT or SYMMETRIC.
mode - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: The mode used in the MirrorPad op.
mode - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: The mode attribute
mode - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: The mode attribute
mode - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The mode attribute
mode - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The mode attribute
mode(String) - Static method in class org.tensorflow.op.quantization.Dequantize: Sets the mode option.
mode(String) - Method in class org.tensorflow.op.quantization.Dequantize.Options: Sets the mode option.
mode(String) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the mode option.
mode(String) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the mode option.
MODE_DEFAULT - Static variable in class org.tensorflow.framework.initializers.VarianceScaling
MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BuildConfiguration
Model - Class in org.tensorflow.proto.data.model
MODEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
MODEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUInfo
MODEL_INPUT_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
Model.AutotuneAlgorithm - Enum in org.tensorflow.proto.data.model: Algorithm used for model autotuning optimization.
Model.ModelProto - Class in org.tensorflow.proto.data.model: Protocol buffer representing the data used by the autotuning modeling framework.
Model.ModelProto.Builder - Class in org.tensorflow.proto.data.model: Protocol buffer representing the data used by the autotuning modeling framework.
Model.ModelProto.Node - Class in org.tensorflow.proto.data.model: General representation of a node in the model.
Model.ModelProto.Node.Builder - Class in org.tensorflow.proto.data.model: General representation of a node in the model.
Model.ModelProto.Node.Parameter - Class in org.tensorflow.proto.data.model: Represents a node parameter.
Model.ModelProto.Node.Parameter.Builder - Class in org.tensorflow.proto.data.model: Represents a node parameter.
Model.ModelProto.Node.ParameterOrBuilder - Interface in org.tensorflow.proto.data.model
Model.ModelProto.NodeOrBuilder - Interface in org.tensorflow.proto.data.model
Model.ModelProto.OptimizationParams - Class in org.tensorflow.proto.data.model: Contains parameters of the model autotuning optimization.
Model.ModelProto.OptimizationParams.Builder - Class in org.tensorflow.proto.data.model: Contains parameters of the model autotuning optimization.
Model.ModelProto.OptimizationParamsOrBuilder - Interface in org.tensorflow.proto.data.model
Model.ModelProtoOrBuilder - Interface in org.tensorflow.proto.data.model
Model.NodeClass - Enum in org.tensorflow.proto.data.model: Class of a node in the performance model.
modelDataset(Operand, List, List, ModelDataset.Options...) - Method in class org.tensorflow.op.DataOps: Identity transformation that models performance.
ModelDataset - Class in org.tensorflow.op.data: Identity transformation that models performance.
ModelDataset(Operation) - Constructor for class org.tensorflow.op.data.ModelDataset
ModelDataset.Inputs - Class in org.tensorflow.op.data
ModelDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ModelDataset
modelProto() - Method in class org.tensorflow.op.data.IteratorGetModelProto: Gets modelProto.
modeOverride - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The modeOverride input
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
mom - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: Value of mom used in the centered RMSProp optimization algorithm.
mom - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: Value of mom used in the RMSProp optimization algorithm.
mom - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Should be from a Variable().
mom() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Gets mom.
mom() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Gets mom.
momenta - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: Value of momenta used in the Adagrad Momentum optimization algorithm.
momenta - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: Value of momenta used in the ADAM optimization algorithm.
momenta - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: Value of momenta used in the Momentum optimization algorithm.
momenta - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The momenta input
momenta - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The momenta input
momenta - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The momenta input
momenta - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The momenta input
momenta() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Gets momenta.
momenta() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Gets momenta.
momenta() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Gets momenta.
momentum - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Momentum Scale.
momentum - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Momentum Scale.
momentum - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The momentum input
Momentum - Class in org.tensorflow.framework.optimizers: Stochastic gradient descent plus momentum, either nesterov or traditional.
Momentum(Graph) - Constructor for class org.tensorflow.framework.optimizers.Momentum: Creates a Momentum Optimizer
Momentum(Graph, float) - Constructor for class org.tensorflow.framework.optimizers.Momentum: Creates a Momentum Optimizer
Momentum(Graph, float, float) - Constructor for class org.tensorflow.framework.optimizers.Momentum: Creates a Momentum Optimizer
Momentum(Graph, float, float, boolean) - Constructor for class org.tensorflow.framework.optimizers.Momentum: Creates a Momentum Optimizer
Momentum(Graph, String, float, float, boolean) - Constructor for class org.tensorflow.framework.optimizers.Momentum: Creates a Momentum Optimizer
MOMENTUM - Enum constant in enum org.tensorflow.framework.optimizers.Optimizers
MOMENTUM - Static variable in class org.tensorflow.framework.optimizers.Momentum
MOMENTUM - Static variable in class org.tensorflow.framework.optimizers.Nadam
MOMENTUM - Static variable in class org.tensorflow.framework.optimizers.RMSProp
MOMENTUM_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Momentum
MOMENTUM_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.RMSProp
ms - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: Value of ms used in the centered RMSProp optimization algorithm.
ms - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: Value of ms used in the RMSProp optimization algorithm.
ms - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Should be from a Variable().
ms() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Gets ms.
ms() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Gets ms.
MSG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SessionLog
MU_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
MU_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
mul(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns x * y element-wise.
Mul<T> - Class in org.tensorflow.op.math: Returns x * y element-wise.
Mul(Operation) - Constructor for class org.tensorflow.op.math.Mul
Mul.Inputs<T> - Class in org.tensorflow.op.math
mulNoNan(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns x * y element-wise.
MulNoNan<T> - Class in org.tensorflow.op.math: Returns x * y element-wise.
MulNoNan(Operation) - Constructor for class org.tensorflow.op.math.MulNoNan
MulNoNan.Inputs<T> - Class in org.tensorflow.op.math
multiDeviceIterator - Variable in class org.tensorflow.op.data.DeleteMultiDeviceIterator.Inputs: A handle to the multi device iterator to delete.
multiDeviceIterator - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: A MultiDeviceIterator resource.
multiDeviceIterator - Variable in class org.tensorflow.op.data.MultiDeviceIteratorInit.Inputs: A MultiDeviceIteratorResource.
multiDeviceIterator - Variable in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle.Inputs: A MultiDeviceIterator resource.
multiDeviceIterator() - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: Gets multiDeviceIterator.
multiDeviceIterator(List, String, String, List, List) - Method in class org.tensorflow.op.DataOps: Creates a MultiDeviceIterator resource.
MultiDeviceIterator - Class in org.tensorflow.op.data: Creates a MultiDeviceIterator resource.
MultiDeviceIterator(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIterator
MultiDeviceIterator.Inputs - Class in org.tensorflow.op.data
multiDeviceIteratorFromStringHandle(Operand, List, MultiDeviceIteratorFromStringHandle.Options...) - Method in class org.tensorflow.op.DataOps: Generates a MultiDeviceIterator resource from its provided string handle.
MultiDeviceIteratorFromStringHandle - Class in org.tensorflow.op.data: Generates a MultiDeviceIterator resource from its provided string handle.
MultiDeviceIteratorFromStringHandle(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle
MultiDeviceIteratorFromStringHandle.Inputs - Class in org.tensorflow.op.data
MultiDeviceIteratorFromStringHandle.Options - Class in org.tensorflow.op.data: Optional attributes for MultiDeviceIteratorFromStringHandle
multiDeviceIteratorGetNextFromShard(Operand, Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: Gets next element for the provided shard number.
MultiDeviceIteratorGetNextFromShard - Class in org.tensorflow.op.data: Gets next element for the provided shard number.
MultiDeviceIteratorGetNextFromShard(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard
MultiDeviceIteratorGetNextFromShard.Inputs - Class in org.tensorflow.op.data
multiDeviceIteratorInit(Operand, Operand, Operand) - Method in class org.tensorflow.op.DataOps: Initializes the multi device iterator with the given dataset.
MultiDeviceIteratorInit - Class in org.tensorflow.op.data: Initializes the multi device iterator with the given dataset.
MultiDeviceIteratorInit(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorInit
MultiDeviceIteratorInit.Inputs - Class in org.tensorflow.op.data
multiDeviceIteratorToStringHandle(Operand) - Method in class org.tensorflow.op.DataOps: Produces a string handle for the given MultiDeviceIterator.
MultiDeviceIteratorToStringHandle - Class in org.tensorflow.op.data: Produces a string handle for the given MultiDeviceIterator.
MultiDeviceIteratorToStringHandle(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle
MultiDeviceIteratorToStringHandle.Inputs - Class in org.tensorflow.op.data
multinomial(Operand, Operand, Class, Multinomial.Options...) - Method in class org.tensorflow.op.RandomOps: Draws samples from a multinomial distribution.
multinomial(Operand, Operand, Multinomial.Options[]) - Method in class org.tensorflow.op.RandomOps: Draws samples from a multinomial distribution.
Multinomial - Class in org.tensorflow.op.random: Draws samples from a multinomial distribution.
Multinomial(Operation) - Constructor for class org.tensorflow.op.random.Multinomial
Multinomial.Inputs - Class in org.tensorflow.op.random
Multinomial.Options - Class in org.tensorflow.op.random: Optional attributes for Multinomial
multiples - Variable in class org.tensorflow.op.core.Tile.Inputs: 1-D.
multiples - Variable in class org.tensorflow.op.train.TileGrad.Inputs: The multiples input
multiplyLinearByLearningRate - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The multiplyLinearByLearningRate attribute
multiplyLinearByLearningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The multiplyLinearByLearningRate attribute
multiplyLinearByLearningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The multiplyLinearByLearningRate attribute
multiplyLinearByLr - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: The multiplyLinearByLr attribute
multiplyLinearByLr - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: The multiplyLinearByLr attribute
multiplyLinearByLr - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The multiplyLinearByLr attribute
multiplyLinearByLr - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The multiplyLinearByLr attribute
multiplyLinearByLr(Boolean) - Static method in class org.tensorflow.op.train.ApplyFtrl: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Method in class org.tensorflow.op.train.ApplyFtrl.Options: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyFtrl: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyFtrl.Options: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyFtrl: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Options: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyFtrl: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Method in class org.tensorflow.op.train.SparseApplyFtrl.Options: Sets the multiplyLinearByLr option.
mutableDenseHashTable(Operand, Operand, Class, MutableDenseHashTable.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty hash table that uses tensors as the backing store.
MutableDenseHashTable - Class in org.tensorflow.op.core: Creates an empty hash table that uses tensors as the backing store.
MutableDenseHashTable(Operation) - Constructor for class org.tensorflow.op.core.MutableDenseHashTable
MutableDenseHashTable.Inputs<T> - Class in org.tensorflow.op.core
MutableDenseHashTable.Options - Class in org.tensorflow.op.core: Optional attributes for MutableDenseHashTable
mutableHashTable(Class, Class, MutableHashTable.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty hash table.
MutableHashTable - Class in org.tensorflow.op.core: Creates an empty hash table.
MutableHashTable(Operation) - Constructor for class org.tensorflow.op.core.MutableHashTable
MutableHashTable.Inputs - Class in org.tensorflow.op.core
MutableHashTable.Options - Class in org.tensorflow.op.core: Optional attributes for MutableHashTable
mutableHashTableOfTensors(Class, Class, MutableHashTableOfTensors.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty hash table.
MutableHashTableOfTensors - Class in org.tensorflow.op.core: Creates an empty hash table.
MutableHashTableOfTensors(Operation) - Constructor for class org.tensorflow.op.core.MutableHashTableOfTensors
MutableHashTableOfTensors.Inputs - Class in org.tensorflow.op.core
MutableHashTableOfTensors.Options - Class in org.tensorflow.op.core: Optional attributes for MutableHashTableOfTensors
mutex - Variable in class org.tensorflow.op.core.MutexLock.Inputs: The mutex resource to lock.
mutex(Mutex.Options...) - Method in class org.tensorflow.op.Ops: Creates a Mutex resource that can be locked by MutexLock.
Mutex - Class in org.tensorflow.op.core: Creates a Mutex resource that can be locked by MutexLock.
Mutex(Operation) - Constructor for class org.tensorflow.op.core.Mutex
Mutex.Inputs - Class in org.tensorflow.op.core
Mutex.Options - Class in org.tensorflow.op.core: Optional attributes for Mutex
mutexLock - Variable in class org.tensorflow.op.core.ConsumeMutexLock.Inputs: A tensor returned by MutexLock.
mutexLock() - Method in class org.tensorflow.op.core.MutexLock: Gets mutexLock.
mutexLock(Operand) - Method in class org.tensorflow.op.Ops: Locks a mutex resource.
MutexLock - Class in org.tensorflow.op.core: Locks a mutex resource.
MutexLock(Operation) - Constructor for class org.tensorflow.op.core.MutexLock
MutexLock.Inputs - Class in org.tensorflow.op.core

N

n - Variable in class org.tensorflow.op.io.QueueDequeueMany.Inputs: The number of tuples to dequeue.
n - Variable in class org.tensorflow.op.io.QueueDequeueUpTo.Inputs: The number of tuples to dequeue.
n - Variable in class org.tensorflow.op.nn.NthElement.Inputs: 0-D.
Nadam - Class in org.tensorflow.framework.optimizers: Nadam Optimizer that implements the NAdam algorithm.
Nadam(Graph) - Constructor for class org.tensorflow.framework.optimizers.Nadam: Creates a Nadam Optimizer
Nadam(Graph, float) - Constructor for class org.tensorflow.framework.optimizers.Nadam: Creates a Nadam Optimizer
Nadam(Graph, float, float, float, float) - Constructor for class org.tensorflow.framework.optimizers.Nadam: Creates a Nadam Optimizer
Nadam(Graph, String, float) - Constructor for class org.tensorflow.framework.optimizers.Nadam: Creates a Nadam Optimizer
Nadam(Graph, String, float, float, float, float) - Constructor for class org.tensorflow.framework.optimizers.Nadam: Creates a Nadam Optimizer
NADAM - Enum constant in enum org.tensorflow.framework.optimizers.Optimizers
name - Variable in class org.tensorflow.Signature.TensorDescription: The name of the tensor's operand in the graph
name() - Method in class org.tensorflow.GraphOperation
name() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
name() - Element in annotation type org.tensorflow.op.annotation.Endpoint: Name for the wrapper method used in the Ops class.
name() - Element in annotation type org.tensorflow.op.annotation.Operator: Name for the wrapper method used in the Ops class.
name() - Method in interface org.tensorflow.Operation: Returns the full name of the Operation.
name() - Method in class org.tensorflow.Output: Returns the full name of this Output (a.k.a. tensor name)
name(BytePointer) - Method in class org.tensorflow.internal.c_api.TF_WhileParams
NAME - Enum constant in enum org.tensorflow.proto.TensorInfo.EncodingCase
NAME - Static variable in class org.tensorflow.framework.activations.ELU: The activation name as known by TensorFlow
NAME - Static variable in class org.tensorflow.framework.activations.Exponential: The activation name as known by TensorFlow
NAME - Static variable in class org.tensorflow.framework.activations.GELU: The activation name as known by TensorFlow
NAME - Static variable in class org.tensorflow.framework.activations.HardSigmoid: The activation name as known by TensorFlow
NAME - Static variable in class org.tensorflow.framework.activations.Linear: The activation name as known by TensorFlow
NAME - Static variable in class org.tensorflow.framework.activations.ReLU: The activation name as known by TensorFlow
NAME - Static variable in class org.tensorflow.framework.activations.SELU: The activation name as known by TensorFlow
NAME - Static variable in class org.tensorflow.framework.activations.Sigmoid: The activation name as known by TensorFlow
NAME - Static variable in class org.tensorflow.framework.activations.Softmax: The activation name as known by TensorFlow
NAME - Static variable in class org.tensorflow.framework.activations.Softplus: The activation name as known by TensorFlow
NAME - Static variable in class org.tensorflow.framework.activations.Softsign: The activation name as known by TensorFlow
NAME - Static variable in class org.tensorflow.framework.activations.Swish: The activation name as known by TensorFlow
NAME - Static variable in class org.tensorflow.framework.activations.Tanh: The activation name as known by TensorFlow
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef.Arg
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef.Attr
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef.Endpoint
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AvailableDeviceInfo
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BenchmarkEntry
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetMetadata.Metadata
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceAttributes
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferConstNodeInfo
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeInfo
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.JobDef
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.JobDeviceFilters
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.KernelDef.AttrConstraint
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetricEntry
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NameAttrList
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NamedTensorProto
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeDef
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.ArgDef
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.AttrDef
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XLine
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XPlane
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ResourceHandleProto
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedSlice
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedSliceMeta
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SessionMetadata
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.NamedTupleValue
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.TensorSpecProto
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorInfo
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorShapeProto.Dim
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TestResults
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
NAME_KEY - Static variable in class org.tensorflow.framework.activations.AbstractActivation
NAME_TO_TRACE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDebugInfo
NameAttrList - Class in org.tensorflow.proto: A list of attr names and their values.
NameAttrList.Builder - Class in org.tensorflow.proto: A list of attr names and their values.
NameAttrListOrBuilder - Interface in org.tensorflow.proto
NAMED_TUPLE_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
NAMED_TUPLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
NamedTensorProto - Class in org.tensorflow.proto: A pair of tensor name and tensor values.
NamedTensorProto.Builder - Class in org.tensorflow.proto: A pair of tensor name and tensor values.
NamedTensorProtoOrBuilder - Interface in org.tensorflow.proto
NamedTensorProtos - Class in org.tensorflow.proto
names - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A tensor containing the names of the serialized protos.
Names - Class in org.tensorflow.generator.op
Names() - Constructor for class org.tensorflow.generator.op.Names
narrowRange - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: Whether to quantize into 2^num_bits - 1 distinct values.
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: Whether to quantize into 2^num_bits - 1 distinct values.
narrowRange - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: If True, then the absolute value of the quantized minimum value is the same as the quantized maximum value, instead of 1 greater. i.e. for 8 bit quantization, the minimum value is -127 instead of -128.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.Dequantize: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.Dequantize.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the narrowRange option.
nativeHandle(RawTensor) - Static method in class org.tensorflow.TensorMapper: Helper for retrieving the native handle of a raw tensor
NativeScope - Class in org.tensorflow.op: A Scope implementation backed by a native scope.
naValue - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The naValue input
naValue - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The naValue input
naValue - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: Additional string to recognize as NA/NaN.
naValue(String) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the naValue option.
naValue(String) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the naValue option.
nbins - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: Scalar int32 Tensor.
ncclAllReduce(Operand, String, Long, String) - Method in class org.tensorflow.op.DistributeOps: Outputs a tensor containing the reduction across all input tensors.
ncclAllReduce(Operand, String, Long, String) - Method in class org.tensorflow.op.Ops: Deprecated.
use NcclAllReduce instead
NcclAllReduce<T> - Class in org.tensorflow.op.core: Deprecated.
use NcclAllReduce instead
NcclAllReduce<T> - Class in org.tensorflow.op.distribute: Outputs a tensor containing the reduction across all input tensors.
NcclAllReduce(Operation) - Constructor for class org.tensorflow.op.core.NcclAllReduce: Deprecated.
NcclAllReduce(Operation) - Constructor for class org.tensorflow.op.distribute.NcclAllReduce
NcclAllReduce.Inputs<T> - Class in org.tensorflow.op.core: Deprecated.
NcclAllReduce.Inputs<T> - Class in org.tensorflow.op.distribute
ncclBroadcast(Operand, Shape) - Method in class org.tensorflow.op.DistributeOps: Sends input to all devices that are connected to the output.
ncclBroadcast(Operand, Shape) - Method in class org.tensorflow.op.Ops: Deprecated.
use NcclBroadcast instead
NcclBroadcast<T> - Class in org.tensorflow.op.core: Deprecated.
use NcclBroadcast instead
NcclBroadcast<T> - Class in org.tensorflow.op.distribute: Sends input to all devices that are connected to the output.
NcclBroadcast(Operation) - Constructor for class org.tensorflow.op.core.NcclBroadcast: Deprecated.
NcclBroadcast(Operation) - Constructor for class org.tensorflow.op.distribute.NcclBroadcast
NcclBroadcast.Inputs<T> - Class in org.tensorflow.op.core: Deprecated.
NcclBroadcast.Inputs<T> - Class in org.tensorflow.op.distribute
ncclReduce(Iterable, String) - Method in class org.tensorflow.op.DistributeOps: Reduces input from num_devices using reduction to a single device.
ncclReduce(Iterable, String) - Method in class org.tensorflow.op.Ops: Deprecated.
use NcclReduce instead
NcclReduce<T> - Class in org.tensorflow.op.core: Deprecated.
use NcclReduce instead
NcclReduce<T> - Class in org.tensorflow.op.distribute: Reduces input from num_devices using reduction to a single device.
NcclReduce(Operation) - Constructor for class org.tensorflow.op.core.NcclReduce: Deprecated.
NcclReduce(Operation) - Constructor for class org.tensorflow.op.distribute.NcclReduce
NcclReduce.Inputs<T> - Class in org.tensorflow.op.core: Deprecated.
NcclReduce.Inputs<T> - Class in org.tensorflow.op.distribute
NCHW_TO_NHWC - Enum constant in enum org.tensorflow.proto.RewriterConfig.CpuLayout: NCHW_TO_NHWC = 1;
NCHW_TO_NHWC_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.CpuLayout: NCHW_TO_NHWC = 1;
NcontextDense(Long) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the NcontextDense option.
NcontextDense(Long) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the NcontextDense option.
NcontextSparse(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the NcontextSparse option.
NcontextSparse(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the NcontextSparse option.
NcontextSparse(Long) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the NcontextSparse option.
NcontextSparse(Long) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the NcontextSparse option.
ndtri(Operand) - Method in class org.tensorflow.op.MathOps: The Ndtri operation
Ndtri<T> - Class in org.tensorflow.op.math: The Ndtri operation
Ndtri(Operation) - Constructor for class org.tensorflow.op.math.Ndtri
Ndtri.Inputs<T> - Class in org.tensorflow.op.math
nearestCenterDistances() - Method in class org.tensorflow.op.image.NearestNeighbors: Gets nearestCenterDistances.
nearestCenterIndices() - Method in class org.tensorflow.op.image.NearestNeighbors: Gets nearestCenterIndices.
nearestNeighbors(Operand, Operand, Operand) - Method in class org.tensorflow.op.ImageOps: Selects the k nearest centers for each point.
NearestNeighbors - Class in org.tensorflow.op.image: Selects the k nearest centers for each point.
NearestNeighbors(Operation) - Constructor for class org.tensorflow.op.image.NearestNeighbors
NearestNeighbors.Inputs - Class in org.tensorflow.op.image
neg(Operand) - Method in class org.tensorflow.op.MathOps: Computes numerical negative value element-wise.
Neg<T> - Class in org.tensorflow.op.math: Computes numerical negative value element-wise.
Neg(Operation) - Constructor for class org.tensorflow.op.math.Neg
Neg.Inputs<T> - Class in org.tensorflow.op.math
negTrain(Operand, Operand, Operand, Operand, Operand, List, Long) - Method in class org.tensorflow.op.TrainOps: Training via negative sampling.
NegTrain - Class in org.tensorflow.op.train: Training via negative sampling.
NegTrain(Operation) - Constructor for class org.tensorflow.op.train.NegTrain
NegTrain.Inputs - Class in org.tensorflow.op.train
NESTED_CONTEXTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CondContextDef
NESTED_CONTEXTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WhileContextDef
NESTEROV_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.Momentum
networkConfig() - Method in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost: Gets networkConfig.
networkConfigs - Variable in class org.tensorflow.op.tpu.ConnectTPUEmbeddingHosts.Inputs: Strings containing metadata about the hostname and RPC port used for communication with all hosts.
newAxisMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The newAxisMask attribute
newAxisMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: a bitmask where bit i being 1 means the ith specification creates a new shape 1 dimension.
newAxisMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The newAxisMask attribute
newAxisMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The newAxisMask attribute
newAxisMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The newAxisMask attribute
newAxisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the newAxisMask option.
newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the newAxisMask option.
newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the newAxisMask option.
newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the newAxisMask option.
newAxisMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the newAxisMask option.
newBuffer() - Static method in class org.tensorflow.internal.c_api.AbstractTF_Buffer: Calls TF_NewBuffer(), and registers a deallocator.
newBufferFromString(Message) - Static method in class org.tensorflow.internal.c_api.AbstractTF_Buffer: Returns newBufferFromString(new BytePointer(proto.toByteArray())), or null if proto is null or empty.
newBufferFromString(Pointer) - Static method in class org.tensorflow.internal.c_api.AbstractTF_Buffer: Calls TF_NewBufferFromString(), and registers a deallocator.
newBuilder() - Static method in class org.tensorflow.DeviceSpec
newBuilder() - Static method in class org.tensorflow.proto.AllocationDescription
newBuilder() - Static method in class org.tensorflow.proto.AllocationRecord
newBuilder() - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
newBuilder() - Static method in class org.tensorflow.proto.ApiDef.Arg
newBuilder() - Static method in class org.tensorflow.proto.ApiDef.Attr
newBuilder() - Static method in class org.tensorflow.proto.ApiDef.Endpoint
newBuilder() - Static method in class org.tensorflow.proto.ApiDef
newBuilder() - Static method in class org.tensorflow.proto.ApiDefs
newBuilder() - Static method in class org.tensorflow.proto.AssetFileDef
newBuilder() - Static method in class org.tensorflow.proto.AttrValue.ListValue
newBuilder() - Static method in class org.tensorflow.proto.AttrValue
newBuilder() - Static method in class org.tensorflow.proto.AutoParallelOptions
newBuilder() - Static method in class org.tensorflow.proto.AvailableDeviceInfo
newBuilder() - Static method in class org.tensorflow.proto.BenchmarkEntries
newBuilder() - Static method in class org.tensorflow.proto.BenchmarkEntry
newBuilder() - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
newBuilder() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
newBuilder() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
newBuilder() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
newBuilder() - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
newBuilder() - Static method in class org.tensorflow.proto.BuildConfiguration
newBuilder() - Static method in class org.tensorflow.proto.BundleEntryProto
newBuilder() - Static method in class org.tensorflow.proto.BundleHeaderProto
newBuilder() - Static method in class org.tensorflow.proto.BytesList
newBuilder() - Static method in class org.tensorflow.proto.CallableOptions
newBuilder() - Static method in class org.tensorflow.proto.ClusterDef
newBuilder() - Static method in class org.tensorflow.proto.ClusterDeviceFilters
newBuilder() - Static method in class org.tensorflow.proto.CodeLocation
newBuilder() - Static method in class org.tensorflow.proto.CollectionDef.AnyList
newBuilder() - Static method in class org.tensorflow.proto.CollectionDef.BytesList
newBuilder() - Static method in class org.tensorflow.proto.CollectionDef.FloatList
newBuilder() - Static method in class org.tensorflow.proto.CollectionDef.Int64List
newBuilder() - Static method in class org.tensorflow.proto.CollectionDef
newBuilder() - Static method in class org.tensorflow.proto.CollectionDef.NodeList
newBuilder() - Static method in class org.tensorflow.proto.CommitId
newBuilder() - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
newBuilder() - Static method in class org.tensorflow.proto.CondContextDef
newBuilder() - Static method in class org.tensorflow.proto.ConfigProto.Experimental
newBuilder() - Static method in class org.tensorflow.proto.ConfigProto
newBuilder() - Static method in class org.tensorflow.proto.ControlFlowContextDef
newBuilder() - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
newBuilder() - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
newBuilder() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
newBuilder() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
newBuilder() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
newBuilder() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
newBuilder() - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
newBuilder() - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
newBuilder() - Static method in class org.tensorflow.proto.CostGraphDef
newBuilder() - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
newBuilder() - Static method in class org.tensorflow.proto.CostGraphDef.Node
newBuilder() - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
newBuilder() - Static method in class org.tensorflow.proto.CPUInfo
newBuilder() - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
newBuilder() - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
newBuilder() - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
newBuilder() - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
newBuilder() - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
newBuilder() - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
newBuilder() - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
newBuilder() - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
newBuilder() - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
newBuilder() - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
newBuilder() - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
newBuilder() - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
newBuilder() - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
newBuilder() - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
newBuilder() - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
newBuilder() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
newBuilder() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
newBuilder() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
newBuilder() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
newBuilder() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
newBuilder() - Static method in class org.tensorflow.proto.DebugEvent
newBuilder() - Static method in class org.tensorflow.proto.DebuggedDevice
newBuilder() - Static method in class org.tensorflow.proto.DebuggedGraph
newBuilder() - Static method in class org.tensorflow.proto.DebuggedSourceFile
newBuilder() - Static method in class org.tensorflow.proto.DebuggedSourceFiles
newBuilder() - Static method in class org.tensorflow.proto.DebugMetadata
newBuilder() - Static method in class org.tensorflow.proto.DebugOptions
newBuilder() - Static method in class org.tensorflow.proto.DebugTensorWatch
newBuilder() - Static method in class org.tensorflow.proto.DeviceAttributes
newBuilder() - Static method in class org.tensorflow.proto.DeviceLocality
newBuilder() - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
newBuilder() - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
newBuilder() - Static method in class org.tensorflow.proto.DeviceStepStats
newBuilder() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
newBuilder() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
newBuilder() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
newBuilder() - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
newBuilder() - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
newBuilder() - Static method in class org.tensorflow.proto.EntryValue
newBuilder() - Static method in class org.tensorflow.proto.Event
newBuilder() - Static method in class org.tensorflow.proto.Example
newBuilder() - Static method in class org.tensorflow.proto.ExampleParserConfiguration
newBuilder() - Static method in class org.tensorflow.proto.Execution
newBuilder() - Static method in class org.tensorflow.proto.Feature
newBuilder() - Static method in class org.tensorflow.proto.FeatureConfiguration
newBuilder() - Static method in class org.tensorflow.proto.FeatureList
newBuilder() - Static method in class org.tensorflow.proto.FeatureLists
newBuilder() - Static method in class org.tensorflow.proto.Features
newBuilder() - Static method in class org.tensorflow.proto.FingerprintDef
newBuilder() - Static method in class org.tensorflow.proto.FixedLenFeatureProto
newBuilder() - Static method in class org.tensorflow.proto.FloatList
newBuilder() - Static method in class org.tensorflow.proto.FullTypeDef
newBuilder() - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
newBuilder() - Static method in class org.tensorflow.proto.FunctionDef
newBuilder() - Static method in class org.tensorflow.proto.FunctionDefLibrary
newBuilder() - Static method in class org.tensorflow.proto.GPUInfo
newBuilder() - Static method in class org.tensorflow.proto.GPUOptions.Experimental
newBuilder() - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
newBuilder() - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
newBuilder() - Static method in class org.tensorflow.proto.GPUOptions
newBuilder() - Static method in class org.tensorflow.proto.GradientDef
newBuilder() - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
newBuilder() - Static method in class org.tensorflow.proto.GraphDebugInfo
newBuilder() - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
newBuilder() - Static method in class org.tensorflow.proto.GraphDef
newBuilder() - Static method in class org.tensorflow.proto.GraphExecutionTrace
newBuilder() - Static method in class org.tensorflow.proto.GraphOpCreation
newBuilder() - Static method in class org.tensorflow.proto.GraphOptions
newBuilder() - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
newBuilder() - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
newBuilder() - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
newBuilder() - Static method in class org.tensorflow.proto.GraphTransferInfo
newBuilder() - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
newBuilder() - Static method in class org.tensorflow.proto.GraphTransferNodeInput
newBuilder() - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
newBuilder() - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
newBuilder() - Static method in class org.tensorflow.proto.HistogramProto
newBuilder() - Static method in class org.tensorflow.proto.Int64List
newBuilder() - Static method in class org.tensorflow.proto.InterconnectLink
newBuilder() - Static method in class org.tensorflow.proto.JobDef
newBuilder() - Static method in class org.tensorflow.proto.JobDeviceFilters
newBuilder() - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
newBuilder() - Static method in class org.tensorflow.proto.KernelDef
newBuilder() - Static method in class org.tensorflow.proto.KernelList
newBuilder() - Static method in class org.tensorflow.proto.LocalLinks
newBuilder() - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
newBuilder() - Static method in class org.tensorflow.proto.MachineConfiguration
newBuilder() - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
newBuilder() - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
newBuilder() - Static method in class org.tensorflow.proto.MemoryInfo
newBuilder() - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
newBuilder() - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
newBuilder() - Static method in class org.tensorflow.proto.MemoryLogStep
newBuilder() - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
newBuilder() - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
newBuilder() - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
newBuilder() - Static method in class org.tensorflow.proto.MemoryStats
newBuilder() - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
newBuilder() - Static method in class org.tensorflow.proto.MetaGraphDef
newBuilder() - Static method in class org.tensorflow.proto.MetricEntry
newBuilder() - Static method in class org.tensorflow.proto.NameAttrList
newBuilder() - Static method in class org.tensorflow.proto.NamedTensorProto
newBuilder() - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
newBuilder() - Static method in class org.tensorflow.proto.NodeDef
newBuilder() - Static method in class org.tensorflow.proto.NodeExecStats
newBuilder() - Static method in class org.tensorflow.proto.NodeOutput
newBuilder() - Static method in class org.tensorflow.proto.OpDef.ArgDef
newBuilder() - Static method in class org.tensorflow.proto.OpDef.AttrDef
newBuilder() - Static method in class org.tensorflow.proto.OpDef
newBuilder() - Static method in class org.tensorflow.proto.OpDeprecation
newBuilder() - Static method in class org.tensorflow.proto.OpList
newBuilder() - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
newBuilder() - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
newBuilder() - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
newBuilder() - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
newBuilder() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
newBuilder() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
newBuilder() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
newBuilder() - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
newBuilder() - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
newBuilder() - Static method in class org.tensorflow.proto.OptimizerOptions
newBuilder() - Static method in class org.tensorflow.proto.PlatformInfo
newBuilder() - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
newBuilder() - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
newBuilder() - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
newBuilder() - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
newBuilder() - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
newBuilder() - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
newBuilder() - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
newBuilder() - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
newBuilder() - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
newBuilder() - Static method in class org.tensorflow.proto.QueueRunnerDef
newBuilder() - Static method in class org.tensorflow.proto.ReaderBaseState
newBuilder() - Static method in class org.tensorflow.proto.RegisteredGradient
newBuilder() - Static method in class org.tensorflow.proto.RequestedExitCode
newBuilder() - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
newBuilder() - Static method in class org.tensorflow.proto.ResourceHandleProto
newBuilder() - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
newBuilder() - Static method in class org.tensorflow.proto.RewriterConfig
newBuilder() - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
newBuilder() - Static method in class org.tensorflow.proto.RunConfiguration
newBuilder() - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
newBuilder() - Static method in class org.tensorflow.proto.RunMetadata
newBuilder() - Static method in class org.tensorflow.proto.RunOptions.Experimental
newBuilder() - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
newBuilder() - Static method in class org.tensorflow.proto.RunOptions
newBuilder() - Static method in class org.tensorflow.proto.SavedModel
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
newBuilder() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
newBuilder() - Static method in class org.tensorflow.proto.SavedSlice
newBuilder() - Static method in class org.tensorflow.proto.SavedSliceMeta
newBuilder() - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
newBuilder() - Static method in class org.tensorflow.proto.SavedTensorSlices
newBuilder() - Static method in class org.tensorflow.proto.SaverDef
newBuilder() - Static method in class org.tensorflow.proto.SaveSliceInfoDef
newBuilder() - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
newBuilder() - Static method in class org.tensorflow.proto.SequenceExample
newBuilder() - Static method in class org.tensorflow.proto.SerializedDType
newBuilder() - Static method in class org.tensorflow.proto.ServerDef
newBuilder() - Static method in class org.tensorflow.proto.SessionLog
newBuilder() - Static method in class org.tensorflow.proto.SessionMetadata
newBuilder() - Static method in class org.tensorflow.proto.SignatureDef
newBuilder() - Static method in class org.tensorflow.proto.SourceFile
newBuilder() - Static method in class org.tensorflow.proto.SourceMetadata
newBuilder() - Static method in class org.tensorflow.proto.StackFrameWithId
newBuilder() - Static method in class org.tensorflow.proto.StatusProto
newBuilder() - Static method in class org.tensorflow.proto.StepStats
newBuilder() - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
newBuilder() - Static method in class org.tensorflow.proto.Struct.DictValue
newBuilder() - Static method in class org.tensorflow.proto.Struct.ListValue
newBuilder() - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
newBuilder() - Static method in class org.tensorflow.proto.Struct.NoneValue
newBuilder() - Static method in class org.tensorflow.proto.Struct.PairValue
newBuilder() - Static method in class org.tensorflow.proto.Struct.StructuredValue
newBuilder() - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
newBuilder() - Static method in class org.tensorflow.proto.Struct.TupleValue
newBuilder() - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
newBuilder() - Static method in class org.tensorflow.proto.Summary.Audio
newBuilder() - Static method in class org.tensorflow.proto.Summary.Image
newBuilder() - Static method in class org.tensorflow.proto.Summary
newBuilder() - Static method in class org.tensorflow.proto.Summary.Value
newBuilder() - Static method in class org.tensorflow.proto.SummaryDescription
newBuilder() - Static method in class org.tensorflow.proto.SummaryMetadata
newBuilder() - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
newBuilder() - Static method in class org.tensorflow.proto.TaggedRunMetadata
newBuilder() - Static method in class org.tensorflow.proto.TaskDeviceFilters
newBuilder() - Static method in class org.tensorflow.proto.TensorConnection
newBuilder() - Static method in class org.tensorflow.proto.TensorDescription
newBuilder() - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
newBuilder() - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
newBuilder() - Static method in class org.tensorflow.proto.TensorInfo
newBuilder() - Static method in class org.tensorflow.proto.TensorProto
newBuilder() - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
newBuilder() - Static method in class org.tensorflow.proto.TensorShapeProto
newBuilder() - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
newBuilder() - Static method in class org.tensorflow.proto.TensorSliceProto
newBuilder() - Static method in class org.tensorflow.proto.TestResults
newBuilder() - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
newBuilder() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
newBuilder() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
newBuilder() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
newBuilder() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
newBuilder() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
newBuilder() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
newBuilder() - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
newBuilder() - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
newBuilder() - Static method in class org.tensorflow.proto.ValuesDef
newBuilder() - Static method in class org.tensorflow.proto.VariableDef
newBuilder() - Static method in class org.tensorflow.proto.VariantTensorDataProto
newBuilder() - Static method in class org.tensorflow.proto.VarLenFeatureProto
newBuilder() - Static method in class org.tensorflow.proto.VerifierConfig
newBuilder() - Static method in class org.tensorflow.proto.VersionDef
newBuilder() - Static method in class org.tensorflow.proto.WatchdogConfig
newBuilder() - Static method in class org.tensorflow.proto.WhileContextDef
newBuilder() - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
newBuilder() - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
newBuilder(AllocationDescription) - Static method in class org.tensorflow.proto.AllocationDescription
newBuilder(AllocationRecord) - Static method in class org.tensorflow.proto.AllocationRecord
newBuilder(AllocatorMemoryUsed) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
newBuilder(ApiDef) - Static method in class org.tensorflow.proto.ApiDef
newBuilder(ApiDef.Arg) - Static method in class org.tensorflow.proto.ApiDef.Arg
newBuilder(ApiDef.Attr) - Static method in class org.tensorflow.proto.ApiDef.Attr
newBuilder(ApiDef.Endpoint) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
newBuilder(ApiDefs) - Static method in class org.tensorflow.proto.ApiDefs
newBuilder(AssetFileDef) - Static method in class org.tensorflow.proto.AssetFileDef
newBuilder(AttrValue) - Static method in class org.tensorflow.proto.AttrValue
newBuilder(AttrValue.ListValue) - Static method in class org.tensorflow.proto.AttrValue.ListValue
newBuilder(AutoParallelOptions) - Static method in class org.tensorflow.proto.AutoParallelOptions
newBuilder(AvailableDeviceInfo) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
newBuilder(BenchmarkEntries) - Static method in class org.tensorflow.proto.BenchmarkEntries
newBuilder(BenchmarkEntry) - Static method in class org.tensorflow.proto.BenchmarkEntry
newBuilder(BfcMemoryMap.BinSummary) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
newBuilder(BfcMemoryMap.MemAllocatorStats) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
newBuilder(BfcMemoryMap.MemChunk) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
newBuilder(BfcMemoryMap.MemoryDump) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
newBuilder(BfcMemoryMap.SnapShot) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
newBuilder(BuildConfiguration) - Static method in class org.tensorflow.proto.BuildConfiguration
newBuilder(BundleEntryProto) - Static method in class org.tensorflow.proto.BundleEntryProto
newBuilder(BundleHeaderProto) - Static method in class org.tensorflow.proto.BundleHeaderProto
newBuilder(BytesList) - Static method in class org.tensorflow.proto.BytesList
newBuilder(CallableOptions) - Static method in class org.tensorflow.proto.CallableOptions
newBuilder(ClusterDef) - Static method in class org.tensorflow.proto.ClusterDef
newBuilder(ClusterDeviceFilters) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
newBuilder(CodeLocation) - Static method in class org.tensorflow.proto.CodeLocation
newBuilder(CollectionDef) - Static method in class org.tensorflow.proto.CollectionDef
newBuilder(CollectionDef.AnyList) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
newBuilder(CollectionDef.BytesList) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
newBuilder(CollectionDef.FloatList) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
newBuilder(CollectionDef.Int64List) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
newBuilder(CollectionDef.NodeList) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
newBuilder(CommitId) - Static method in class org.tensorflow.proto.CommitId
newBuilder(CompositeTensorVariant.CompositeTensorVariantMetadata) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
newBuilder(CondContextDef) - Static method in class org.tensorflow.proto.CondContextDef
newBuilder(ConfigProto) - Static method in class org.tensorflow.proto.ConfigProto
newBuilder(ConfigProto.Experimental) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
newBuilder(ControlFlowContextDef) - Static method in class org.tensorflow.proto.ControlFlowContextDef
newBuilder(CoordinationConfig.CoordinatedJob) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
newBuilder(CoordinationConfig.CoordinationServiceConfig) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
newBuilder(CppShapeInference.CppShapeInferenceInputsNeeded) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
newBuilder(CppShapeInference.CppShapeInferenceResult) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
newBuilder(CppShapeInference.CppShapeInferenceResult.HandleData) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
newBuilder(CppShapeInference.CppShapeInferenceResult.HandleShapeAndType) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
newBuilder(CorePlatformPayloads.ErrorSourceProto) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
newBuilder(CostGraphDef) - Static method in class org.tensorflow.proto.CostGraphDef
newBuilder(CostGraphDef.AggregatedCost) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
newBuilder(CostGraphDef.Node) - Static method in class org.tensorflow.proto.CostGraphDef.Node
newBuilder(CostGraphDef.Node.InputInfo) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
newBuilder(CostGraphDef.Node.OutputInfo) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
newBuilder(CPUInfo) - Static method in class org.tensorflow.proto.CPUInfo
newBuilder(DataService.CrossTrainerCacheOptions) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
newBuilder(DataService.DataServiceConfig) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
newBuilder(DataService.DataServiceMetadata) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
newBuilder(DataService.ProcessingModeDef) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
newBuilder(Dataset.CompressedComponentMetadata) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
newBuilder(Dataset.CompressedElement) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
newBuilder(Dataset.UncompressedElement) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
newBuilder(DatasetMetadata.Metadata) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
newBuilder(DatasetOptions.AutotuneOptions) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
newBuilder(DatasetOptions.CardinalityOptions) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
newBuilder(DatasetOptions.DistributeOptions) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
newBuilder(DatasetOptions.OptimizationOptions) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
newBuilder(DatasetOptions.Options) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
newBuilder(DatasetOptions.ServiceOptions) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
newBuilder(DatasetOptions.ThreadingOptions) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
newBuilder(ServiceConfig.DispatcherConfig) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
newBuilder(ServiceConfig.WorkerConfig) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
newBuilder(Snapshot.DistributedSnapshotMetadata) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
newBuilder(Snapshot.SnapshotMetadataRecord) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
newBuilder(Snapshot.SnapshotRecord) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
newBuilder(Snapshot.SnapshotTensorMetadata) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
newBuilder(Snapshot.TensorMetadata) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
newBuilder(Model.ModelProto) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
newBuilder(Model.ModelProto.Node) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
newBuilder(Model.ModelProto.Node.Parameter) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
newBuilder(Model.ModelProto.OptimizationParams) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
newBuilder(DebugEvent) - Static method in class org.tensorflow.proto.DebugEvent
newBuilder(DebuggedDevice) - Static method in class org.tensorflow.proto.DebuggedDevice
newBuilder(DebuggedGraph) - Static method in class org.tensorflow.proto.DebuggedGraph
newBuilder(DebuggedSourceFile) - Static method in class org.tensorflow.proto.DebuggedSourceFile
newBuilder(DebuggedSourceFiles) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
newBuilder(DebugMetadata) - Static method in class org.tensorflow.proto.DebugMetadata
newBuilder(DebugOptions) - Static method in class org.tensorflow.proto.DebugOptions
newBuilder(DebugTensorWatch) - Static method in class org.tensorflow.proto.DebugTensorWatch
newBuilder(DeviceAttributes) - Static method in class org.tensorflow.proto.DeviceAttributes
newBuilder(DeviceLocality) - Static method in class org.tensorflow.proto.DeviceLocality
newBuilder(DevicePropertiesProtos.DeviceProperties) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
newBuilder(DevicePropertiesProtos.NamedDevice) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
newBuilder(DeviceStepStats) - Static method in class org.tensorflow.proto.DeviceStepStats
newBuilder(DistributedRuntimePayloads.GrpcPayloadContainer) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
newBuilder(DistributedRuntimePayloads.GrpcPayloadsLost) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
newBuilder(DistributedRuntimePayloads.WorkerPossiblyRestarted) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
newBuilder(RemoteTensorHandle) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
newBuilder(ResourceDtypeAndShape) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
newBuilder(EntryValue) - Static method in class org.tensorflow.proto.EntryValue
newBuilder(Event) - Static method in class org.tensorflow.proto.Event
newBuilder(Example) - Static method in class org.tensorflow.proto.Example
newBuilder(ExampleParserConfiguration) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
newBuilder(Execution) - Static method in class org.tensorflow.proto.Execution
newBuilder(Feature) - Static method in class org.tensorflow.proto.Feature
newBuilder(FeatureConfiguration) - Static method in class org.tensorflow.proto.FeatureConfiguration
newBuilder(FeatureList) - Static method in class org.tensorflow.proto.FeatureList
newBuilder(FeatureLists) - Static method in class org.tensorflow.proto.FeatureLists
newBuilder(Features) - Static method in class org.tensorflow.proto.Features
newBuilder(FingerprintDef) - Static method in class org.tensorflow.proto.FingerprintDef
newBuilder(FixedLenFeatureProto) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
newBuilder(FloatList) - Static method in class org.tensorflow.proto.FloatList
newBuilder(FullTypeDef) - Static method in class org.tensorflow.proto.FullTypeDef
newBuilder(FunctionDef) - Static method in class org.tensorflow.proto.FunctionDef
newBuilder(FunctionDef.ArgAttrs) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
newBuilder(FunctionDefLibrary) - Static method in class org.tensorflow.proto.FunctionDefLibrary
newBuilder(GPUInfo) - Static method in class org.tensorflow.proto.GPUInfo
newBuilder(GPUOptions) - Static method in class org.tensorflow.proto.GPUOptions
newBuilder(GPUOptions.Experimental) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
newBuilder(GPUOptions.Experimental.StreamMergeOptions) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
newBuilder(GPUOptions.Experimental.VirtualDevices) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
newBuilder(GradientDef) - Static method in class org.tensorflow.proto.GradientDef
newBuilder(GraphDebugInfo) - Static method in class org.tensorflow.proto.GraphDebugInfo
newBuilder(GraphDebugInfo.FileLineCol) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
newBuilder(GraphDebugInfo.StackTrace) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
newBuilder(GraphDef) - Static method in class org.tensorflow.proto.GraphDef
newBuilder(GraphExecutionTrace) - Static method in class org.tensorflow.proto.GraphExecutionTrace
newBuilder(GraphOpCreation) - Static method in class org.tensorflow.proto.GraphOpCreation
newBuilder(GraphOptions) - Static method in class org.tensorflow.proto.GraphOptions
newBuilder(GraphTransferConstNodeInfo) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
newBuilder(GraphTransferGraphInputNodeInfo) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
newBuilder(GraphTransferGraphOutputNodeInfo) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
newBuilder(GraphTransferInfo) - Static method in class org.tensorflow.proto.GraphTransferInfo
newBuilder(GraphTransferNodeInfo) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
newBuilder(GraphTransferNodeInput) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
newBuilder(GraphTransferNodeInputInfo) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
newBuilder(GraphTransferNodeOutputInfo) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
newBuilder(HistogramProto) - Static method in class org.tensorflow.proto.HistogramProto
newBuilder(Int64List) - Static method in class org.tensorflow.proto.Int64List
newBuilder(InterconnectLink) - Static method in class org.tensorflow.proto.InterconnectLink
newBuilder(JobDef) - Static method in class org.tensorflow.proto.JobDef
newBuilder(JobDeviceFilters) - Static method in class org.tensorflow.proto.JobDeviceFilters
newBuilder(KernelDef) - Static method in class org.tensorflow.proto.KernelDef
newBuilder(KernelDef.AttrConstraint) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
newBuilder(KernelList) - Static method in class org.tensorflow.proto.KernelList
newBuilder(LocalLinks) - Static method in class org.tensorflow.proto.LocalLinks
newBuilder(LogMessage) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
newBuilder(MachineConfiguration) - Static method in class org.tensorflow.proto.MachineConfiguration
newBuilder(MemmappedFileSystem.MemmappedFileSystemDirectory) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
newBuilder(MemmappedFileSystem.MemmappedFileSystemDirectoryElement) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
newBuilder(MemoryInfo) - Static method in class org.tensorflow.proto.MemoryInfo
newBuilder(MemoryLogRawAllocation) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
newBuilder(MemoryLogRawDeallocation) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
newBuilder(MemoryLogStep) - Static method in class org.tensorflow.proto.MemoryLogStep
newBuilder(MemoryLogTensorAllocation) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
newBuilder(MemoryLogTensorDeallocation) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
newBuilder(MemoryLogTensorOutput) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
newBuilder(MemoryStats) - Static method in class org.tensorflow.proto.MemoryStats
newBuilder(MetaGraphDef) - Static method in class org.tensorflow.proto.MetaGraphDef
newBuilder(MetaGraphDef.MetaInfoDef) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
newBuilder(MetricEntry) - Static method in class org.tensorflow.proto.MetricEntry
newBuilder(NameAttrList) - Static method in class org.tensorflow.proto.NameAttrList
newBuilder(NamedTensorProto) - Static method in class org.tensorflow.proto.NamedTensorProto
newBuilder(NodeDef) - Static method in class org.tensorflow.proto.NodeDef
newBuilder(NodeDef.ExperimentalDebugInfo) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
newBuilder(NodeExecStats) - Static method in class org.tensorflow.proto.NodeExecStats
newBuilder(NodeOutput) - Static method in class org.tensorflow.proto.NodeOutput
newBuilder(OpDef) - Static method in class org.tensorflow.proto.OpDef
newBuilder(OpDef.ArgDef) - Static method in class org.tensorflow.proto.OpDef.ArgDef
newBuilder(OpDef.AttrDef) - Static method in class org.tensorflow.proto.OpDef.AttrDef
newBuilder(OpDeprecation) - Static method in class org.tensorflow.proto.OpDeprecation
newBuilder(OpList) - Static method in class org.tensorflow.proto.OpList
newBuilder(OpPerformanceData.LogNormalDistribution) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
newBuilder(OpPerformanceData.NormalDistribution) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
newBuilder(OpPerformanceData.OpInfo) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
newBuilder(OpPerformanceData.OpInfo.TensorProperties) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
newBuilder(OpPerformanceData.OpPerformance) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
newBuilder(OpPerformanceData.OpPerformance.OpMemory) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
newBuilder(OpPerformanceData.OpPerformanceList) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
newBuilder(OpPerformanceData.SessionInfo) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
newBuilder(OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
newBuilder(OptimizerOptions) - Static method in class org.tensorflow.proto.OptimizerOptions
newBuilder(PlatformInfo) - Static method in class org.tensorflow.proto.PlatformInfo
newBuilder(Xplane.XEvent) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
newBuilder(Xplane.XEventMetadata) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
newBuilder(Xplane.XLine) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
newBuilder(Xplane.XPlane) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
newBuilder(Xplane.XSpace) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
newBuilder(Xplane.XStat) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
newBuilder(Xplane.XStatMetadata) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
newBuilder(ProfilerOptions.ProfileOptions) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
newBuilder(ProfilerOptions.RemoteProfilerSessionManagerOptions) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
newBuilder(QueueRunnerDef) - Static method in class org.tensorflow.proto.QueueRunnerDef
newBuilder(ReaderBaseState) - Static method in class org.tensorflow.proto.ReaderBaseState
newBuilder(RegisteredGradient) - Static method in class org.tensorflow.proto.RegisteredGradient
newBuilder(RequestedExitCode) - Static method in class org.tensorflow.proto.RequestedExitCode
newBuilder(ResourceHandleProto) - Static method in class org.tensorflow.proto.ResourceHandleProto
newBuilder(ResourceHandleProto.DtypeAndShape) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
newBuilder(RewriterConfig) - Static method in class org.tensorflow.proto.RewriterConfig
newBuilder(RewriterConfig.CustomGraphOptimizer) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
newBuilder(RpcOptions.RPCOptions) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
newBuilder(RunConfiguration) - Static method in class org.tensorflow.proto.RunConfiguration
newBuilder(RunMetadata) - Static method in class org.tensorflow.proto.RunMetadata
newBuilder(RunMetadata.FunctionGraphs) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
newBuilder(RunOptions) - Static method in class org.tensorflow.proto.RunOptions
newBuilder(RunOptions.Experimental) - Static method in class org.tensorflow.proto.RunOptions.Experimental
newBuilder(RunOptions.Experimental.RunHandlerPoolOptions) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
newBuilder(SavedModel) - Static method in class org.tensorflow.proto.SavedModel
newBuilder(SavedObjectGraphOuterClass.CapturedTensor) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
newBuilder(SavedObjectGraphOuterClass.FunctionSpec) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
newBuilder(SavedObjectGraphOuterClass.SaveableObject) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
newBuilder(SavedObjectGraphOuterClass.SavedAsset) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
newBuilder(SavedObjectGraphOuterClass.SavedBareConcreteFunction) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
newBuilder(SavedObjectGraphOuterClass.SavedConcreteFunction) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
newBuilder(SavedObjectGraphOuterClass.SavedConstant) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
newBuilder(SavedObjectGraphOuterClass.SavedFunction) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
newBuilder(SavedObjectGraphOuterClass.SavedObject) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
newBuilder(SavedObjectGraphOuterClass.SavedObjectGraph) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
newBuilder(SavedObjectGraphOuterClass.SavedResource) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
newBuilder(SavedObjectGraphOuterClass.SavedUserObject) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
newBuilder(SavedObjectGraphOuterClass.SavedVariable) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
newBuilder(SavedSlice) - Static method in class org.tensorflow.proto.SavedSlice
newBuilder(SavedSliceMeta) - Static method in class org.tensorflow.proto.SavedSliceMeta
newBuilder(SavedTensorSliceMeta) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
newBuilder(SavedTensorSlices) - Static method in class org.tensorflow.proto.SavedTensorSlices
newBuilder(SaverDef) - Static method in class org.tensorflow.proto.SaverDef
newBuilder(SaveSliceInfoDef) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
newBuilder(ScopedAllocatorOptions) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
newBuilder(SequenceExample) - Static method in class org.tensorflow.proto.SequenceExample
newBuilder(SerializedDType) - Static method in class org.tensorflow.proto.SerializedDType
newBuilder(ServerDef) - Static method in class org.tensorflow.proto.ServerDef
newBuilder(SessionLog) - Static method in class org.tensorflow.proto.SessionLog
newBuilder(SessionMetadata) - Static method in class org.tensorflow.proto.SessionMetadata
newBuilder(SignatureDef) - Static method in class org.tensorflow.proto.SignatureDef
newBuilder(SourceFile) - Static method in class org.tensorflow.proto.SourceFile
newBuilder(SourceMetadata) - Static method in class org.tensorflow.proto.SourceMetadata
newBuilder(StackFrameWithId) - Static method in class org.tensorflow.proto.StackFrameWithId
newBuilder(StatusProto) - Static method in class org.tensorflow.proto.StatusProto
newBuilder(StepStats) - Static method in class org.tensorflow.proto.StepStats
newBuilder(Struct.BoundedTensorSpecProto) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
newBuilder(Struct.DictValue) - Static method in class org.tensorflow.proto.Struct.DictValue
newBuilder(Struct.ListValue) - Static method in class org.tensorflow.proto.Struct.ListValue
newBuilder(Struct.NamedTupleValue) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
newBuilder(Struct.NoneValue) - Static method in class org.tensorflow.proto.Struct.NoneValue
newBuilder(Struct.PairValue) - Static method in class org.tensorflow.proto.Struct.PairValue
newBuilder(Struct.StructuredValue) - Static method in class org.tensorflow.proto.Struct.StructuredValue
newBuilder(Struct.TensorSpecProto) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
newBuilder(Struct.TupleValue) - Static method in class org.tensorflow.proto.Struct.TupleValue
newBuilder(Struct.TypeSpecProto) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
newBuilder(Summary) - Static method in class org.tensorflow.proto.Summary
newBuilder(Summary.Audio) - Static method in class org.tensorflow.proto.Summary.Audio
newBuilder(Summary.Image) - Static method in class org.tensorflow.proto.Summary.Image
newBuilder(Summary.Value) - Static method in class org.tensorflow.proto.Summary.Value
newBuilder(SummaryDescription) - Static method in class org.tensorflow.proto.SummaryDescription
newBuilder(SummaryMetadata) - Static method in class org.tensorflow.proto.SummaryMetadata
newBuilder(SummaryMetadata.PluginData) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
newBuilder(TaggedRunMetadata) - Static method in class org.tensorflow.proto.TaggedRunMetadata
newBuilder(TaskDeviceFilters) - Static method in class org.tensorflow.proto.TaskDeviceFilters
newBuilder(TensorConnection) - Static method in class org.tensorflow.proto.TensorConnection
newBuilder(TensorDescription) - Static method in class org.tensorflow.proto.TensorDescription
newBuilder(TensorInfo) - Static method in class org.tensorflow.proto.TensorInfo
newBuilder(TensorInfo.CompositeTensor) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
newBuilder(TensorInfo.CooSparse) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
newBuilder(TensorProto) - Static method in class org.tensorflow.proto.TensorProto
newBuilder(TensorShapeProto) - Static method in class org.tensorflow.proto.TensorShapeProto
newBuilder(TensorShapeProto.Dim) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
newBuilder(TensorSliceProto) - Static method in class org.tensorflow.proto.TensorSliceProto
newBuilder(TensorSliceProto.Extent) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
newBuilder(TestResults) - Static method in class org.tensorflow.proto.TestResults
newBuilder(ThreadPoolOptionProto) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
newBuilder(TrackableObjectGraphOuterClass.RegisteredSaver) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
newBuilder(TrackableObjectGraphOuterClass.TrackableObjectGraph) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
newBuilder(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
newBuilder(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
newBuilder(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
newBuilder(TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
newBuilder(TransportOptions.RecvBufRespExtra) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
newBuilder(UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
newBuilder(ValuesDef) - Static method in class org.tensorflow.proto.ValuesDef
newBuilder(VariableDef) - Static method in class org.tensorflow.proto.VariableDef
newBuilder(VariantTensorDataProto) - Static method in class org.tensorflow.proto.VariantTensorDataProto
newBuilder(VarLenFeatureProto) - Static method in class org.tensorflow.proto.VarLenFeatureProto
newBuilder(VerifierConfig) - Static method in class org.tensorflow.proto.VerifierConfig
newBuilder(VersionDef) - Static method in class org.tensorflow.proto.VersionDef
newBuilder(WatchdogConfig) - Static method in class org.tensorflow.proto.WatchdogConfig
newBuilder(WhileContextDef) - Static method in class org.tensorflow.proto.WhileContextDef
newBuilder(WorkerHeartbeatRequest) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
newBuilder(WorkerHeartbeatResponse) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
newBuilderForType() - Method in class org.tensorflow.proto.AllocationDescription
newBuilderForType() - Method in class org.tensorflow.proto.AllocationRecord
newBuilderForType() - Method in class org.tensorflow.proto.AllocatorMemoryUsed
newBuilderForType() - Method in class org.tensorflow.proto.ApiDef.Arg
newBuilderForType() - Method in class org.tensorflow.proto.ApiDef.Attr
newBuilderForType() - Method in class org.tensorflow.proto.ApiDef.Endpoint
newBuilderForType() - Method in class org.tensorflow.proto.ApiDef
newBuilderForType() - Method in class org.tensorflow.proto.ApiDefs
newBuilderForType() - Method in class org.tensorflow.proto.AssetFileDef
newBuilderForType() - Method in class org.tensorflow.proto.AttrValue.ListValue
newBuilderForType() - Method in class org.tensorflow.proto.AttrValue
newBuilderForType() - Method in class org.tensorflow.proto.AutoParallelOptions
newBuilderForType() - Method in class org.tensorflow.proto.AvailableDeviceInfo
newBuilderForType() - Method in class org.tensorflow.proto.BenchmarkEntries
newBuilderForType() - Method in class org.tensorflow.proto.BenchmarkEntry
newBuilderForType() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
newBuilderForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
newBuilderForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
newBuilderForType() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
newBuilderForType() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
newBuilderForType() - Method in class org.tensorflow.proto.BuildConfiguration
newBuilderForType() - Method in class org.tensorflow.proto.BundleEntryProto
newBuilderForType() - Method in class org.tensorflow.proto.BundleHeaderProto
newBuilderForType() - Method in class org.tensorflow.proto.BytesList
newBuilderForType() - Method in class org.tensorflow.proto.CallableOptions
newBuilderForType() - Method in class org.tensorflow.proto.ClusterDef
newBuilderForType() - Method in class org.tensorflow.proto.ClusterDeviceFilters
newBuilderForType() - Method in class org.tensorflow.proto.CodeLocation
newBuilderForType() - Method in class org.tensorflow.proto.CollectionDef.AnyList
newBuilderForType() - Method in class org.tensorflow.proto.CollectionDef.BytesList
newBuilderForType() - Method in class org.tensorflow.proto.CollectionDef.FloatList
newBuilderForType() - Method in class org.tensorflow.proto.CollectionDef.Int64List
newBuilderForType() - Method in class org.tensorflow.proto.CollectionDef
newBuilderForType() - Method in class org.tensorflow.proto.CollectionDef.NodeList
newBuilderForType() - Method in class org.tensorflow.proto.CommitId
newBuilderForType() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
newBuilderForType() - Method in class org.tensorflow.proto.CondContextDef
newBuilderForType() - Method in class org.tensorflow.proto.ConfigProto.Experimental
newBuilderForType() - Method in class org.tensorflow.proto.ConfigProto
newBuilderForType() - Method in class org.tensorflow.proto.ControlFlowContextDef
newBuilderForType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
newBuilderForType() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
newBuilderForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
newBuilderForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
newBuilderForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
newBuilderForType() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
newBuilderForType() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
newBuilderForType() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
newBuilderForType() - Method in class org.tensorflow.proto.CostGraphDef
newBuilderForType() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
newBuilderForType() - Method in class org.tensorflow.proto.CostGraphDef.Node
newBuilderForType() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
newBuilderForType() - Method in class org.tensorflow.proto.CPUInfo
newBuilderForType() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
newBuilderForType() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
newBuilderForType() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
newBuilderForType() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
newBuilderForType() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
newBuilderForType() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
newBuilderForType() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
newBuilderForType() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
newBuilderForType() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
newBuilderForType() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
newBuilderForType() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
newBuilderForType() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
newBuilderForType() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
newBuilderForType() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
newBuilderForType() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
newBuilderForType() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
newBuilderForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto
newBuilderForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
newBuilderForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
newBuilderForType() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
newBuilderForType() - Method in class org.tensorflow.proto.DebugEvent
newBuilderForType() - Method in class org.tensorflow.proto.DebuggedDevice
newBuilderForType() - Method in class org.tensorflow.proto.DebuggedGraph
newBuilderForType() - Method in class org.tensorflow.proto.DebuggedSourceFile
newBuilderForType() - Method in class org.tensorflow.proto.DebuggedSourceFiles
newBuilderForType() - Method in class org.tensorflow.proto.DebugMetadata
newBuilderForType() - Method in class org.tensorflow.proto.DebugOptions
newBuilderForType() - Method in class org.tensorflow.proto.DebugTensorWatch
newBuilderForType() - Method in class org.tensorflow.proto.DeviceAttributes
newBuilderForType() - Method in class org.tensorflow.proto.DeviceLocality
newBuilderForType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
newBuilderForType() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
newBuilderForType() - Method in class org.tensorflow.proto.DeviceStepStats
newBuilderForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
newBuilderForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
newBuilderForType() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
newBuilderForType() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
newBuilderForType() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
newBuilderForType() - Method in class org.tensorflow.proto.EntryValue
newBuilderForType() - Method in class org.tensorflow.proto.Event
newBuilderForType() - Method in class org.tensorflow.proto.Example
newBuilderForType() - Method in class org.tensorflow.proto.ExampleParserConfiguration
newBuilderForType() - Method in class org.tensorflow.proto.Execution
newBuilderForType() - Method in class org.tensorflow.proto.Feature
newBuilderForType() - Method in class org.tensorflow.proto.FeatureConfiguration
newBuilderForType() - Method in class org.tensorflow.proto.FeatureList
newBuilderForType() - Method in class org.tensorflow.proto.FeatureLists
newBuilderForType() - Method in class org.tensorflow.proto.Features
newBuilderForType() - Method in class org.tensorflow.proto.FingerprintDef
newBuilderForType() - Method in class org.tensorflow.proto.FixedLenFeatureProto
newBuilderForType() - Method in class org.tensorflow.proto.FloatList
newBuilderForType() - Method in class org.tensorflow.proto.FullTypeDef
newBuilderForType() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
newBuilderForType() - Method in class org.tensorflow.proto.FunctionDef
newBuilderForType() - Method in class org.tensorflow.proto.FunctionDefLibrary
newBuilderForType() - Method in class org.tensorflow.proto.GPUInfo
newBuilderForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental
newBuilderForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
newBuilderForType() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
newBuilderForType() - Method in class org.tensorflow.proto.GPUOptions
newBuilderForType() - Method in class org.tensorflow.proto.GradientDef
newBuilderForType() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
newBuilderForType() - Method in class org.tensorflow.proto.GraphDebugInfo
newBuilderForType() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
newBuilderForType() - Method in class org.tensorflow.proto.GraphDef
newBuilderForType() - Method in class org.tensorflow.proto.GraphExecutionTrace
newBuilderForType() - Method in class org.tensorflow.proto.GraphOpCreation
newBuilderForType() - Method in class org.tensorflow.proto.GraphOptions
newBuilderForType() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
newBuilderForType() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
newBuilderForType() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
newBuilderForType() - Method in class org.tensorflow.proto.GraphTransferInfo
newBuilderForType() - Method in class org.tensorflow.proto.GraphTransferNodeInfo
newBuilderForType() - Method in class org.tensorflow.proto.GraphTransferNodeInput
newBuilderForType() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
newBuilderForType() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
newBuilderForType() - Method in class org.tensorflow.proto.HistogramProto
newBuilderForType() - Method in class org.tensorflow.proto.Int64List
newBuilderForType() - Method in class org.tensorflow.proto.InterconnectLink
newBuilderForType() - Method in class org.tensorflow.proto.JobDef
newBuilderForType() - Method in class org.tensorflow.proto.JobDeviceFilters
newBuilderForType() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
newBuilderForType() - Method in class org.tensorflow.proto.KernelDef
newBuilderForType() - Method in class org.tensorflow.proto.KernelList
newBuilderForType() - Method in class org.tensorflow.proto.LocalLinks
newBuilderForType() - Method in class org.tensorflow.proto.LogMessage: Deprecated.
newBuilderForType() - Method in class org.tensorflow.proto.MachineConfiguration
newBuilderForType() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
newBuilderForType() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
newBuilderForType() - Method in class org.tensorflow.proto.MemoryInfo
newBuilderForType() - Method in class org.tensorflow.proto.MemoryLogRawAllocation
newBuilderForType() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
newBuilderForType() - Method in class org.tensorflow.proto.MemoryLogStep
newBuilderForType() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
newBuilderForType() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
newBuilderForType() - Method in class org.tensorflow.proto.MemoryLogTensorOutput
newBuilderForType() - Method in class org.tensorflow.proto.MemoryStats
newBuilderForType() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
newBuilderForType() - Method in class org.tensorflow.proto.MetaGraphDef
newBuilderForType() - Method in class org.tensorflow.proto.MetricEntry
newBuilderForType() - Method in class org.tensorflow.proto.NameAttrList
newBuilderForType() - Method in class org.tensorflow.proto.NamedTensorProto
newBuilderForType() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
newBuilderForType() - Method in class org.tensorflow.proto.NodeDef
newBuilderForType() - Method in class org.tensorflow.proto.NodeExecStats
newBuilderForType() - Method in class org.tensorflow.proto.NodeOutput
newBuilderForType() - Method in class org.tensorflow.proto.OpDef.ArgDef
newBuilderForType() - Method in class org.tensorflow.proto.OpDef.AttrDef
newBuilderForType() - Method in class org.tensorflow.proto.OpDef
newBuilderForType() - Method in class org.tensorflow.proto.OpDeprecation
newBuilderForType() - Method in class org.tensorflow.proto.OpList
newBuilderForType() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
newBuilderForType() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
newBuilderForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
newBuilderForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
newBuilderForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
newBuilderForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
newBuilderForType() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
newBuilderForType() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
newBuilderForType() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
newBuilderForType() - Method in class org.tensorflow.proto.OptimizerOptions
newBuilderForType() - Method in class org.tensorflow.proto.PlatformInfo
newBuilderForType() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
newBuilderForType() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
newBuilderForType() - Method in class org.tensorflow.proto.profiler.Xplane.XLine
newBuilderForType() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
newBuilderForType() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
newBuilderForType() - Method in class org.tensorflow.proto.profiler.Xplane.XStat
newBuilderForType() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
newBuilderForType() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
newBuilderForType() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
newBuilderForType() - Method in class org.tensorflow.proto.QueueRunnerDef
newBuilderForType() - Method in class org.tensorflow.proto.ReaderBaseState
newBuilderForType() - Method in class org.tensorflow.proto.RegisteredGradient
newBuilderForType() - Method in class org.tensorflow.proto.RequestedExitCode
newBuilderForType() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
newBuilderForType() - Method in class org.tensorflow.proto.ResourceHandleProto
newBuilderForType() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
newBuilderForType() - Method in class org.tensorflow.proto.RewriterConfig
newBuilderForType() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
newBuilderForType() - Method in class org.tensorflow.proto.RunConfiguration
newBuilderForType() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
newBuilderForType() - Method in class org.tensorflow.proto.RunMetadata
newBuilderForType() - Method in class org.tensorflow.proto.RunOptions.Experimental
newBuilderForType() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
newBuilderForType() - Method in class org.tensorflow.proto.RunOptions
newBuilderForType() - Method in class org.tensorflow.proto.SavedModel
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
newBuilderForType() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
newBuilderForType() - Method in class org.tensorflow.proto.SavedSlice
newBuilderForType() - Method in class org.tensorflow.proto.SavedSliceMeta
newBuilderForType() - Method in class org.tensorflow.proto.SavedTensorSliceMeta
newBuilderForType() - Method in class org.tensorflow.proto.SavedTensorSlices
newBuilderForType() - Method in class org.tensorflow.proto.SaverDef
newBuilderForType() - Method in class org.tensorflow.proto.SaveSliceInfoDef
newBuilderForType() - Method in class org.tensorflow.proto.ScopedAllocatorOptions
newBuilderForType() - Method in class org.tensorflow.proto.SequenceExample
newBuilderForType() - Method in class org.tensorflow.proto.SerializedDType
newBuilderForType() - Method in class org.tensorflow.proto.ServerDef
newBuilderForType() - Method in class org.tensorflow.proto.SessionLog
newBuilderForType() - Method in class org.tensorflow.proto.SessionMetadata
newBuilderForType() - Method in class org.tensorflow.proto.SignatureDef
newBuilderForType() - Method in class org.tensorflow.proto.SourceFile
newBuilderForType() - Method in class org.tensorflow.proto.SourceMetadata
newBuilderForType() - Method in class org.tensorflow.proto.StackFrameWithId
newBuilderForType() - Method in class org.tensorflow.proto.StatusProto
newBuilderForType() - Method in class org.tensorflow.proto.StepStats
newBuilderForType() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
newBuilderForType() - Method in class org.tensorflow.proto.Struct.DictValue
newBuilderForType() - Method in class org.tensorflow.proto.Struct.ListValue
newBuilderForType() - Method in class org.tensorflow.proto.Struct.NamedTupleValue
newBuilderForType() - Method in class org.tensorflow.proto.Struct.NoneValue
newBuilderForType() - Method in class org.tensorflow.proto.Struct.PairValue
newBuilderForType() - Method in class org.tensorflow.proto.Struct.StructuredValue
newBuilderForType() - Method in class org.tensorflow.proto.Struct.TensorSpecProto
newBuilderForType() - Method in class org.tensorflow.proto.Struct.TupleValue
newBuilderForType() - Method in class org.tensorflow.proto.Struct.TypeSpecProto
newBuilderForType() - Method in class org.tensorflow.proto.Summary.Audio
newBuilderForType() - Method in class org.tensorflow.proto.Summary.Image
newBuilderForType() - Method in class org.tensorflow.proto.Summary
newBuilderForType() - Method in class org.tensorflow.proto.Summary.Value
newBuilderForType() - Method in class org.tensorflow.proto.SummaryDescription
newBuilderForType() - Method in class org.tensorflow.proto.SummaryMetadata
newBuilderForType() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
newBuilderForType() - Method in class org.tensorflow.proto.TaggedRunMetadata
newBuilderForType() - Method in class org.tensorflow.proto.TaskDeviceFilters
newBuilderForType() - Method in class org.tensorflow.proto.TensorConnection
newBuilderForType() - Method in class org.tensorflow.proto.TensorDescription
newBuilderForType() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
newBuilderForType() - Method in class org.tensorflow.proto.TensorInfo.CooSparse
newBuilderForType() - Method in class org.tensorflow.proto.TensorInfo
newBuilderForType() - Method in class org.tensorflow.proto.TensorProto
newBuilderForType() - Method in class org.tensorflow.proto.TensorShapeProto.Dim
newBuilderForType() - Method in class org.tensorflow.proto.TensorShapeProto
newBuilderForType() - Method in class org.tensorflow.proto.TensorSliceProto.Extent
newBuilderForType() - Method in class org.tensorflow.proto.TensorSliceProto
newBuilderForType() - Method in class org.tensorflow.proto.TestResults
newBuilderForType() - Method in class org.tensorflow.proto.ThreadPoolOptionProto
newBuilderForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
newBuilderForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
newBuilderForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
newBuilderForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
newBuilderForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
newBuilderForType() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
newBuilderForType() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
newBuilderForType() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
newBuilderForType() - Method in class org.tensorflow.proto.ValuesDef
newBuilderForType() - Method in class org.tensorflow.proto.VariableDef
newBuilderForType() - Method in class org.tensorflow.proto.VariantTensorDataProto
newBuilderForType() - Method in class org.tensorflow.proto.VarLenFeatureProto
newBuilderForType() - Method in class org.tensorflow.proto.VerifierConfig
newBuilderForType() - Method in class org.tensorflow.proto.VersionDef
newBuilderForType() - Method in class org.tensorflow.proto.WatchdogConfig
newBuilderForType() - Method in class org.tensorflow.proto.WhileContextDef
newBuilderForType() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
newBuilderForType() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.AllocationDescription
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.AllocationRecord
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.AllocatorMemoryUsed
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ApiDef.Arg
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ApiDef.Attr
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ApiDef.Endpoint
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ApiDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ApiDefs
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.AssetFileDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.AttrValue.ListValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.AttrValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.AutoParallelOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.AvailableDeviceInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.BenchmarkEntries
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.BenchmarkEntry
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.BuildConfiguration
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.BundleEntryProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.BundleHeaderProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.BytesList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CallableOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ClusterDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ClusterDeviceFilters
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CodeLocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CollectionDef.AnyList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CollectionDef.BytesList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CollectionDef.FloatList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CollectionDef.Int64List
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CollectionDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CollectionDef.NodeList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CommitId
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CondContextDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ConfigProto.Experimental
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ConfigProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ControlFlowContextDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CostGraphDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CostGraphDef.Node
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.CPUInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DatasetOptions.Options
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.model.Model.ModelProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DebugEvent
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DebuggedDevice
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DebuggedGraph
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DebuggedSourceFile
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DebuggedSourceFiles
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DebugMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DebugOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DebugTensorWatch
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DeviceAttributes
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DeviceLocality
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.DeviceStepStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.EntryValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Event
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Example
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ExampleParserConfiguration
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Execution
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Feature
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.FeatureConfiguration
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.FeatureList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.FeatureLists
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Features
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.FingerprintDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.FixedLenFeatureProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.FloatList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.FullTypeDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.FunctionDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.FunctionDefLibrary
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GPUInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GPUOptions.Experimental
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GPUOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GradientDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphDebugInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphExecutionTrace
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphOpCreation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphTransferInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphTransferNodeInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphTransferNodeInput
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.HistogramProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Int64List
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.InterconnectLink
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.JobDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.JobDeviceFilters
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.KernelDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.KernelList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.LocalLinks
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.LogMessage: Deprecated.
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MachineConfiguration
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MemoryInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MemoryLogRawAllocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MemoryLogStep
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MemoryLogTensorOutput
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MemoryStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MetaGraphDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.MetricEntry
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.NameAttrList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.NamedTensorProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.NodeDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.NodeExecStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.NodeOutput
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpDef.ArgDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpDef.AttrDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpDeprecation
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.OptimizerOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.PlatformInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.Xplane.XLine
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.Xplane.XStat
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.QueueRunnerDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ReaderBaseState
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.RegisteredGradient
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.RequestedExitCode
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ResourceHandleProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.RewriterConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.RunConfiguration
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.RunMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.RunOptions.Experimental
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.RunOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedModel
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedSlice
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedSliceMeta
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedTensorSliceMeta
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SavedTensorSlices
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SaverDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SaveSliceInfoDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ScopedAllocatorOptions
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SequenceExample
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SerializedDType
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ServerDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SessionLog
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SessionMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SignatureDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SourceFile
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SourceMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.StackFrameWithId
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.StatusProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.StepStats
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Struct.DictValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Struct.ListValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Struct.NamedTupleValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Struct.NoneValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Struct.PairValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Struct.StructuredValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Struct.TensorSpecProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Struct.TupleValue
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Struct.TypeSpecProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Summary.Audio
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Summary.Image
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Summary
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.Summary.Value
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SummaryDescription
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SummaryMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TaggedRunMetadata
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TaskDeviceFilters
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TensorConnection
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TensorDescription
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TensorInfo.CooSparse
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TensorInfo
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TensorProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TensorShapeProto.Dim
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TensorShapeProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TensorSliceProto.Extent
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TensorSliceProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TestResults
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ThreadPoolOptionProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.ValuesDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.VariableDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.VariantTensorDataProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.VarLenFeatureProto
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.VerifierConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.VersionDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.WatchdogConfig
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.WhileContextDef
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
newContext(TFE_ContextOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.AbstractTFE_Context: Calls TFE_NewContext(), and registers a deallocator.
newContextOptions() - Static method in class org.tensorflow.internal.c_api.AbstractTFE_ContextOptions: Calls TFE_NewContextOptions(), and registers a deallocator.
newFormatKey - Variable in class org.tensorflow.op.tpu.TPUReshardVariables.Inputs: The newFormatKey input
newGlobalStep - Variable in class org.tensorflow.op.train.AccumulatorSetGlobalStep.Inputs: The new global_step value to set.
newGlobalStep - Variable in class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep.Inputs: The new global_step value to set.
newGraph() - Static method in class org.tensorflow.internal.c_api.AbstractTF_Graph: Calls TF_NewGraph(), and registers a deallocator.
newImportGraphDefOptions() - Static method in class org.tensorflow.internal.c_api.AbstractTF_ImportGraphDefOptions: Calls TF_NewImportGraphDefOptions(), and registers a deallocator.
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.AllocationDescription
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.AllocationRecord
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.AllocatorMemoryUsed
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ApiDef.Arg
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ApiDef.Attr
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ApiDef.Endpoint
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ApiDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ApiDefs
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.AssetFileDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.AttrValue.ListValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.AttrValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.AutoParallelOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.AvailableDeviceInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.BenchmarkEntries
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.BenchmarkEntry
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.BuildConfiguration
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.BundleEntryProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.BundleHeaderProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.BytesList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CallableOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ClusterDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ClusterDeviceFilters
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CodeLocation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CollectionDef.AnyList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CollectionDef.BytesList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CollectionDef.FloatList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CollectionDef.Int64List
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CollectionDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CollectionDef.NodeList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CommitId
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CondContextDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ConfigProto.Experimental
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ConfigProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ControlFlowContextDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CostGraphDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CostGraphDef.Node
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.CPUInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DatasetOptions.Options
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.model.Model.ModelProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DebugEvent
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DebuggedDevice
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DebuggedGraph
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DebuggedSourceFile
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DebuggedSourceFiles
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DebugMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DebugOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DebugTensorWatch
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DeviceAttributes
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DeviceLocality
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.DeviceStepStats
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.EntryValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Event
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Example
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ExampleParserConfiguration
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Execution
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Feature
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.FeatureConfiguration
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.FeatureList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.FeatureLists
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Features
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.FingerprintDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.FixedLenFeatureProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.FloatList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.FullTypeDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.FunctionDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.FunctionDefLibrary
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GPUInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GPUOptions.Experimental
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GPUOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GradientDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphDebugInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphExecutionTrace
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphOpCreation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphTransferInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphTransferNodeInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphTransferNodeInput
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.HistogramProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Int64List
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.InterconnectLink
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.JobDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.JobDeviceFilters
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.KernelDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.KernelList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.LocalLinks
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.LogMessage: Deprecated.
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MachineConfiguration
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MemoryInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MemoryLogRawAllocation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MemoryLogStep
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MemoryLogTensorOutput
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MemoryStats
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MetaGraphDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.MetricEntry
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.NameAttrList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.NamedTensorProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.NodeDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.NodeExecStats
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.NodeOutput
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpDef.ArgDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpDef.AttrDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpDeprecation
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.OptimizerOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.PlatformInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.Xplane.XLine
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.Xplane.XStat
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.QueueRunnerDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ReaderBaseState
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.RegisteredGradient
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.RequestedExitCode
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ResourceHandleProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.RewriterConfig
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.RunConfiguration
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.RunMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.RunOptions.Experimental
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.RunOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedModel
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedSlice
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedSliceMeta
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedTensorSliceMeta
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SavedTensorSlices
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SaverDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SaveSliceInfoDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ScopedAllocatorOptions
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SequenceExample
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SerializedDType
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ServerDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SessionLog
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SessionMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SignatureDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SourceFile
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SourceMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.StackFrameWithId
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.StatusProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.StepStats
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Struct.DictValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Struct.ListValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Struct.NamedTupleValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Struct.NoneValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Struct.PairValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Struct.StructuredValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Struct.TensorSpecProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Struct.TupleValue
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Struct.TypeSpecProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Summary.Audio
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Summary.Image
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Summary
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.Summary.Value
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SummaryDescription
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SummaryMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TaggedRunMetadata
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TaskDeviceFilters
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TensorConnection
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TensorDescription
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TensorInfo.CooSparse
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TensorInfo
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TensorProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TensorShapeProto.Dim
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TensorShapeProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TensorSliceProto.Extent
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TensorSliceProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TestResults
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ThreadPoolOptionProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.ValuesDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.VariableDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.VariantTensorDataProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.VarLenFeatureProto
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.VerifierConfig
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.VersionDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.WatchdogConfig
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.WhileContextDef
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
newInstance(GeneratedMessageV3.UnusedPrivateParameter) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
newOp(TFE_Context, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.AbstractTFE_Op: Calls TFE_NewOp(), and registers a deallocator.
newSession(TF_Graph, TF_SessionOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.AbstractTF_Session: Calls TF_NewSession(), and registers a deallocator.
newSessionOptions() - Static method in class org.tensorflow.internal.c_api.AbstractTF_SessionOptions: Calls TF_NewSessionOptions(), and registers a deallocator.
newShape - Variable in class org.tensorflow.op.sparse.SparseReshape.Inputs: 1-D.
newStatus() - Static method in class org.tensorflow.internal.c_api.AbstractTF_Status: Calls TF_NewStatus(), and registers a deallocator.
newTensor(int, long[], Pointer) - Static method in class org.tensorflow.internal.c_api.AbstractTF_Tensor: Calls TF_NewTensor(), and registers a deallocator.
newTensor(TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle: Calls TFE_NewTensorHandle(), and registers a deallocator.
newVocabFile - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: Path to the new vocab file.
newVocabOffset - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: How many entries into the new vocab file to start reading.
nextAfter(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns the next representable value of x1 in the direction of x2, element-wise.
NextAfter<T> - Class in org.tensorflow.op.math: Returns the next representable value of x1 in the direction of x2, element-wise.
NextAfter(Operation) - Constructor for class org.tensorflow.op.math.NextAfter
NextAfter.Inputs<T> - Class in org.tensorflow.op.math
nextFuncOtherArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The nextFuncOtherArgs input
nextIteration(Operand) - Method in class org.tensorflow.op.Ops: Makes its input available to the next iteration.
NextIteration<T> - Class in org.tensorflow.op.core: Makes its input available to the next iteration.
NextIteration(Operation) - Constructor for class org.tensorflow.op.core.NextIteration
NextIteration.Inputs<T> - Class in org.tensorflow.op.core
NfeatureListDense(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the NfeatureListDense option.
NfeatureListDense(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the NfeatureListDense option.
NfeatureListDense(Long) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the NfeatureListDense option.
NfeatureListDense(Long) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the NfeatureListDense option.
NfeatureListSparse(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the NfeatureListSparse option.
NfeatureListSparse(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the NfeatureListSparse option.
NfeatureListSparse(Long) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the NfeatureListSparse option.
NfeatureListSparse(Long) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the NfeatureListSparse option.
ngrams() - Method in class org.tensorflow.op.strings.StringNGrams: Gets ngrams.
ngramsSplits() - Method in class org.tensorflow.op.strings.StringNGrams: Gets ngramsSplits.
ngramWidths - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The sizes of the ngrams to create.
NHWC_TO_NCHW - Enum constant in enum org.tensorflow.proto.RewriterConfig.CpuLayout: NHWC_TO_NCHW = 2;
NHWC_TO_NCHW_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.CpuLayout: NHWC_TO_NCHW = 2;
ninputs() - Method in class org.tensorflow.internal.c_api.TF_WhileParams
nmsedBoxes() - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Gets nmsedBoxes.
nmsedClasses() - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Gets nmsedClasses.
nmsedScores() - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Gets nmsedScores.
nmsThreshold - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A scalar float tensor for non-maximal-suppression threshold.
nn - Variable in class org.tensorflow.framework.op.FrameworkOps
nn - Variable in class org.tensorflow.op.Ops
NN(Long) - Static method in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients: Sets the NN option.
NN(Long) - Method in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Options: Sets the NN option.
NnOps - Class in org.tensorflow.framework.op: Creates Framework nerual network Operations
NnOps - Class in org.tensorflow.op: An API for building nn operations as Ops
nnz() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ: Gets nnz.
NO_CONVERSION_ON_CPU - Enum constant in enum org.tensorflow.proto.RewriterConfig.CpuLayout: NO_CONVERSION_ON_CPU = 0;
NO_CONVERSION_ON_CPU_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.CpuLayout: NO_CONVERSION_ON_CPU = 0;
NO_MEM_OPT - Enum constant in enum org.tensorflow.proto.RewriterConfig.MemOptType: Disabled in the meta-optimizer.
NO_MEM_OPT_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.MemOptType: Disabled in the meta-optimizer.
NO_TENSOR - Enum constant in enum org.tensorflow.proto.TensorDebugMode: Only records what tensors are computed, eagerly or in graphs.
NO_TENSOR_VALUE - Static variable in enum org.tensorflow.proto.TensorDebugMode: Only records what tensors are computed, eagerly or in graphs.
NO_TRACE - Enum constant in enum org.tensorflow.proto.RunOptions.TraceLevel: NO_TRACE = 0;
NO_TRACE_VALUE - Static variable in enum org.tensorflow.proto.RunOptions.TraceLevel: NO_TRACE = 0;
NODE_CLASS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
NODE_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FunctionDef
NODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef
NODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDef
NODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferConstNodeInfo
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeInfo
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeInput
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeInputInfo
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeOutputInfo
NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
NODE_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferInfo
NODE_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeInputInfo
NODE_INPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferInfo
NODE_LIST - Enum constant in enum org.tensorflow.proto.CollectionDef.KindCase
NODE_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CollectionDef
NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugTensorWatch
NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
NODE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Value
NODE_NAME_TO_CONTROL_RET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
NODE_OUTPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferInfo
NODE_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceStepStats
NodeDef - Class in org.tensorflow.proto: Protobuf type tensorflow.NodeDef
NodeDef.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.NodeDef
NodeDef.ExperimentalDebugInfo - Class in org.tensorflow.proto: Protobuf type tensorflow.NodeDef.ExperimentalDebugInfo
NodeDef.ExperimentalDebugInfo.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.NodeDef.ExperimentalDebugInfo
NodeDef.ExperimentalDebugInfoOrBuilder - Interface in org.tensorflow.proto
NodeDefOrBuilder - Interface in org.tensorflow.proto
NodeExecStats - Class in org.tensorflow.proto: Time/size stats recorded for a single execution of a graph node.
NodeExecStats.Builder - Class in org.tensorflow.proto: Time/size stats recorded for a single execution of a graph node.
NodeExecStatsOrBuilder - Interface in org.tensorflow.proto
NodeOutput - Class in org.tensorflow.proto: Output sizes recorded for a single execution of a graph node.
NodeOutput.Builder - Class in org.tensorflow.proto: Output sizes recorded for a single execution of a graph node.
NodeOutputOrBuilder - Interface in org.tensorflow.proto
NodeProto - Class in org.tensorflow.proto
NODES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto
NODES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
NODES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
noise - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: indicates if the noise should uniform, gaussian, or zero.
noise(String) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Sets the noise option.
noise(String) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options: Sets the noise option.
nonDeterministicInts(Operand) - Method in class org.tensorflow.op.RandomOps: Non-deterministically generates some integers.
nonDeterministicInts(Operand, Class) - Method in class org.tensorflow.op.RandomOps: Non-deterministically generates some integers.
NonDeterministicInts - Class in org.tensorflow.op.random: Non-deterministically generates some integers.
NonDeterministicInts(Operation) - Constructor for class org.tensorflow.op.random.NonDeterministicInts
NonDeterministicInts.Inputs - Class in org.tensorflow.op.random
NONE - Enum constant in enum org.tensorflow.framework.losses.Reduction
NONE_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
NONE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
nonMaxSuppression(Operand, Operand, Operand, Operand, Operand, Operand, NonMaxSuppression.Options...) - Method in class org.tensorflow.op.ImageOps: Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high intersection-over-union (IOU) overlap with previously selected boxes.
NonMaxSuppression<T> - Class in org.tensorflow.op.image: Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high intersection-over-union (IOU) overlap with previously selected boxes.
NonMaxSuppression(Operation) - Constructor for class org.tensorflow.op.image.NonMaxSuppression
NonMaxSuppression.Inputs<T> - Class in org.tensorflow.op.image
NonMaxSuppression.Options - Class in org.tensorflow.op.image: Optional attributes for NonMaxSuppression
nonMaxSuppressionWithOverlaps(Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.ImageOps: Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high overlaps with previously selected boxes.
NonMaxSuppressionWithOverlaps - Class in org.tensorflow.op.image: Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high overlaps with previously selected boxes.
NonMaxSuppressionWithOverlaps(Operation) - Constructor for class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps
NonMaxSuppressionWithOverlaps.Inputs - Class in org.tensorflow.op.image
NonNeg - Class in org.tensorflow.framework.constraints: Constrains the weights to be non-negative.
NonNeg() - Constructor for class org.tensorflow.framework.constraints.NonNeg: Create a NonNeg constraint
nonSerializableDataset(Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalNonSerializableDataset operation
nonSerializableDataset(Operand, List, List) - Method in class org.tensorflow.op.DataOps: The NonSerializableDataset operation
NonSerializableDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalNonSerializableDataset operation
NonSerializableDataset - Class in org.tensorflow.op.data: The NonSerializableDataset operation
NonSerializableDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.NonSerializableDataset
NonSerializableDataset(Operation) - Constructor for class org.tensorflow.op.data.NonSerializableDataset
NonSerializableDataset.Inputs - Class in org.tensorflow.op.data.experimental
NonSerializableDataset.Inputs - Class in org.tensorflow.op.data
noOp() - Method in class org.tensorflow.op.Ops: Does nothing.
NoOp - Class in org.tensorflow.op.core: Does nothing.
NoOp(Operation) - Constructor for class org.tensorflow.op.core.NoOp
NOOP_ELIMINATION - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalNoopEliminationCase
NOOP_ELIMINATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
NoOp.Inputs - Class in org.tensorflow.op.core
NOP - Enum constant in enum org.tensorflow.proto.GraphTransferInfo.Destination: NOP = 0;
NOP_VALUE - Static variable in enum org.tensorflow.proto.GraphTransferInfo.Destination: NOP = 0;
NorderingToken(Long) - Static method in class org.tensorflow.op.collective.CollectiveGather: Sets the NorderingToken option.
NorderingToken(Long) - Method in class org.tensorflow.op.collective.CollectiveGather.Options: Sets the NorderingToken option.
NorderingToken(Long) - Static method in class org.tensorflow.op.collective.CollectiveReduceScatter: Sets the NorderingToken option.
NorderingToken(Long) - Method in class org.tensorflow.op.collective.CollectiveReduceScatter.Options: Sets the NorderingToken option.
norm(Ops, Operand, int[]) - Method in class org.tensorflow.framework.constraints.AbstractConstraint: Calculates the norm of the weights along the axes
NORMAL - Enum constant in enum org.tensorflow.framework.initializers.VarianceScaling.Distribution
normalize - Variable in class org.tensorflow.op.core.EditDistance.Inputs: boolean (if true, edit distances are normalized by length of truth).
normalize(Boolean) - Static method in class org.tensorflow.op.core.EditDistance: Sets the normalize option.
normalize(Boolean) - Method in class org.tensorflow.op.core.EditDistance.Options: Sets the normalize option.
normalized - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: indicates if the offset coordinates are normalized.
normalized(Boolean) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Sets the normalized option.
normalized(Boolean) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options: Sets the normalized option.
NOT_CONFIGURED - Enum constant in enum org.tensorflow.proto.WorkerShutdownMode: NOT_CONFIGURED = 1;
NOT_CONFIGURED_VALUE - Static variable in enum org.tensorflow.proto.WorkerShutdownMode: NOT_CONFIGURED = 1;
NOT_FOUND - Enum constant in enum org.tensorflow.proto.error.Code: Some requested entity (e.g., file or directory) was not found.
NOT_FOUND_VALUE - Static variable in enum org.tensorflow.proto.error.Code: Some requested entity (e.g., file or directory) was not found.
NotBroadcastableException - Exception Class in org.tensorflow.framework.metrics.exceptions: Exception that indicates that static shapes are not able to broadcast among each other during arithmetic operations.
NotBroadcastableException(String) - Constructor for exception class org.tensorflow.framework.metrics.exceptions.NotBroadcastableException: Creates a new NotBroadcastableException exception with the specified detail message
NotBroadcastableException(String, Throwable) - Constructor for exception class org.tensorflow.framework.metrics.exceptions.NotBroadcastableException: Creates a new NotBroadcastableException exception with the specified detail message
notEqual(Operand, Operand, NotEqual.Options...) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x !
NotEqual - Class in org.tensorflow.op.math: Returns the truth value of (x !
NotEqual(Operation) - Constructor for class org.tensorflow.op.math.NotEqual
NotEqual.Inputs<T> - Class in org.tensorflow.op.math
NotEqual.Options - Class in org.tensorflow.op.math: Optional attributes for NotEqual
nrows - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRows.Inputs: The nrows input
nthElement(Operand, Operand, NthElement.Options...) - Method in class org.tensorflow.op.NnOps: Finds values of the n-th order statistic for the last dimension.
NthElement<T> - Class in org.tensorflow.op.nn: Finds values of the n-th order statistic for the last dimension.
NthElement(Operation) - Constructor for class org.tensorflow.op.nn.NthElement
NthElement.Inputs<T> - Class in org.tensorflow.op.nn
NthElement.Options - Class in org.tensorflow.op.nn: Optional attributes for NthElement
num - Variable in class org.tensorflow.op.core.LinSpace.Inputs: 0-D tensor.
NUM_ALLOCS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
NUM_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogRawAllocation
NUM_CHANNELS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Audio
NUM_CHANNELS_PER_TARGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RpcOptions.RPCOptions
NUM_CORES_ALLOWED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CPUInfo
NUM_CORES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CPUInfo
NUM_CORES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
NUM_DEV_TO_DEV_COPY_STREAMS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
NUM_DEVICES - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.DistributeOptions.OptionalNumDevicesCase
NUM_DEVICES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
num_dims() - Method in class org.tensorflow.internal.c_api.TF_ShapeAndType
num_dims() - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle
num_dims(int) - Method in class org.tensorflow.internal.c_api.TF_ShapeAndType
num_dims(TFE_CustomDeviceTensorHandle.Num_dims_Pointer_TF_Status) - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle
Num_dims_Pointer_TF_Status() - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle.Num_dims_Pointer_TF_Status
Num_dims_Pointer_TF_Status(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle.Num_dims_Pointer_TF_Status: Pointer cast constructor.
NUM_ELEMENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
NUM_ELEMENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
NUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.HistogramProto
NUM_FLAT_COMPONENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.TypeSpecProto
num_items() - Method in class org.tensorflow.internal.c_api.TF_ShapeAndTypeList
num_items(int) - Method in class org.tensorflow.internal.c_api.TF_ShapeAndTypeList
NUM_OCCURRENCES - Enum constant in enum org.tensorflow.proto.profiler.Xplane.XEvent.DataCase
NUM_OCCURRENCES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XEvent
NUM_OUTPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Execution
NUM_OUTPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOpCreation
NUM_RECORDS_PRODUCED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ReaderBaseState
NUM_REGISTERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
NUM_REPLICAS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AutoParallelOptions
NUM_RETURN_NODES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
NUM_SHARDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BundleHeaderProto
NUM_TASKS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
NUM_THREADS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ThreadPoolOptionProto
NUM_VIRTUAL_DEVICES_PER_GPU_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
NUMA_NODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceLocality
numAccumulated() - Method in class org.tensorflow.op.train.AccumulatorNumAccumulated: Gets numAccumulated.
numAccumulated() - Method in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated: Gets numAccumulated.
numBatchThreads - Variable in class org.tensorflow.op.core.Batch.Inputs: The numBatchThreads attribute
numBatchThreads - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Number of scheduling threads for processing batches of work.
NUMBER_ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.ArgDef
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The numBits attribute
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: The numBits attribute
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The numBits attribute
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: The bitwidth of the quantization; between 2 and 8, inclusive.
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The numBits attribute
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: The bitwidth of the quantization; between 2 and 16, inclusive.
numBits - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The numBits input
numBits - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The numBits input
numBits - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: The bitwidth of the quantization.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options: Sets the numBits option.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options: Sets the numBits option.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Options: Sets the numBits option.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Options: Sets the numBits option.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Options: Sets the numBits option.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Options: Sets the numBits option.
numBits(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the numBits option.
numBuckets - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The numBuckets attribute
numBuckets - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: It is used if hashed_output is true. output = hashed_value%num_buckets if num_buckets > 0 else hashed_value.
numBuckets - Variable in class org.tensorflow.op.strings.ToHashBucket.Inputs: The number of buckets.
numBuckets - Variable in class org.tensorflow.op.strings.ToHashBucketFast.Inputs: The number of buckets.
numBuckets - Variable in class org.tensorflow.op.strings.ToHashBucketStrong.Inputs: The number of buckets.
numBytes() - Method in class org.tensorflow.RawTensor
numBytes() - Method in interface org.tensorflow.Tensor: Returns the size, in bytes, of the tensor data.
numCols - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: Number of columns (length of the 2nd dimension) in the output matrix.
numCols - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: The number of columns of the output matrix.
numCols - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: The number of columns of the output matrix.
numConcats - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: Number of ways to merge per dimension.
numConcats - Variable in class org.tensorflow.op.xla.ConcatND.Inputs: Number of ways to merge per dimension.
numConsumers - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The numConsumers input
numConsumers() - Method in class org.tensorflow.GraphOperation: Get the number of ops that use any of this op's outputs as an input, not including control dependencies.
numConsumers(int) - Method in class org.tensorflow.GraphOperation: Get the number of ops that use this op's designated output as an input, not including control dependencies.
numControlConsumers() - Method in class org.tensorflow.GraphOperation: Get the number of ops with this op as a control dependency.
numControlInputs() - Method in class org.tensorflow.GraphOperation: Get the number of control inputs for this op.
numCoresPerReplica - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: Number of cores per replica.
numCoresPerReplica - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

Number of cores per replica.
numCoresPerReplica(Long) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the numCoresPerReplica option.
numCoresPerReplica(Long) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the numCoresPerReplica option.
numCoresPerReplica(Long) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the numCoresPerReplica option.
numCoresPerReplica(Long) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the numCoresPerReplica option.
numDevices - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The numDevices attribute
numDevices - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The numDevices attribute
numDimensions(Shape) - Method in class org.tensorflow.op.ShapeOps: Get the number of dimensions of the shape object.
numDimensions(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Get the number of dimensions of the shape object.
numDimensions(Scope, Shape) - Static method in class org.tensorflow.op.core.Shapes: Get the number of dimensions of the shape object.
numDimensions(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Get the number of dimensions of the shape object.
numElements - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: A single-element tensor containing the number of elements to take.
numElements - Variable in class org.tensorflow.op.core.TensorListReserve.Inputs: The numElements input
numElements - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The numElements input
numElements - Variable in class org.tensorflow.op.core.TensorListStack.Inputs: The numElements attribute
numElements() - Method in class org.tensorflow.op.tpu.ComputeDedupDataSize: Gets numElements.
numElements(Long) - Static method in class org.tensorflow.op.core.TensorListStack: Sets the numElements option.
numElements(Long) - Method in class org.tensorflow.op.core.TensorListStack.Options: Sets the numElements option.
numElementsPerBranch - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The numElementsPerBranch attribute
numExperiments - Variable in class org.tensorflow.op.data.ChooseFastestDataset.Inputs: The numExperiments attribute
numExperiments - Variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs: The numExperiments attribute
numFeatures - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The numFeatures attribute
numFeatures - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The numFeatures attribute
numFeatures - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The numFeatures attribute
numFeatures(Long...) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Sets the numFeatures option.
numFeatures(Long...) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the numFeatures option.
numFeatures(Long...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the numFeatures option.
numFeatures(Long...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the numFeatures option.
numFeatures(Long...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the numFeatures option.
numFeatures(Long...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the numFeatures option.
numFeatures(List) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Sets the numFeatures option.
numFeatures(List) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the numFeatures option.
numFeatures(List) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the numFeatures option.
numFeatures(List) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the numFeatures option.
numFeatures(List) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the numFeatures option.
numFeatures(List) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the numFeatures option.
numInnerIterations - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Number of iterations per mini-batch.
numInputs() - Method in class org.tensorflow.GraphOperation: Get the number of inputs to the op, not including control inputs.
numLayers - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The numLayers input
numLayers - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The numLayers input
numLayers - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The numLayers input
NumLearningRateTags(Long) - Static method in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients: Sets the NumLearningRateTags option.
NumLearningRateTags(Long) - Method in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Options: Sets the NumLearningRateTags option.
numLossPartitions - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Number of partitions of the global loss function.
numLower - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: 0-D tensor.
numLower - Variable in class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs: The numLower input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets numMinibatchesPerPhysicalSparseCore.
numMinibatchesPerSc() - Method in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor: Gets numMinibatchesPerSc.
numNegativeSamples - Variable in class org.tensorflow.op.train.NegTrain.Inputs: Number of negative samples per example.
numNewVocab - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: Number of entries in the new vocab file to remap.
numOutputs() - Method in class org.tensorflow.GraphOperation
numOutputs() - Method in interface org.tensorflow.Operation: Returns the number of tensors produced by this operation.
numParallelCalls - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A scalar representing the maximum number of parallel invocations of the map_fn function.
numParallelCalls - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The numParallelCalls input
numParallelCalls - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A scalar representing the maximum number of parallel invocations of the map_fn function.
numParallelCalls - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The numParallelCalls input
numParallelCalls - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: The number of concurrent invocations of predicate that process elements from input_dataset in parallel.
numParallelCalls - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Determines the number of threads that should be used for fetching data from input datasets in parallel.
numParallelCalls - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The number of concurrent invocations of f that process elements from input_dataset in parallel.
numParallelCalls - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The numParallelCalls input
numPresent() - Method in class org.tensorflow.op.train.GenerateVocabRemapping: Gets numPresent.
numProj - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The numProj attribute
numProj - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The numProj attribute
numProj - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The numProj attribute
numProj - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The numProj attribute
numProj - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The numProj attribute
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the numProj option.
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the numProj option.
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the numProj option.
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the numProj option.
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the numProj option.
NUMPY_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
NUMPY_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
numRecords - Variable in class org.tensorflow.op.io.ReaderReadUpTo.Inputs: number of records to read from Reader.
numReplica - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The numReplica attribute
numReplica - Variable in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors.Inputs: The numReplica attribute
numReplica - Variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs: The numReplica attribute
numReplica - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The numReplica attribute
numReplica - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The numReplica attribute
numReplica - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The numReplica attribute
numReplicas - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: The numReplicas attribute
numReplicas - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: A scalar representing the number of replicas to distribute this batch across.
numReplicas - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: Number of replicas of the computation
numReplicas - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

Number of replicas of the computation
numReplicas(Long) - Static method in class org.tensorflow.op.data.AutoShardDataset: Sets the numReplicas option.
numReplicas(Long) - Method in class org.tensorflow.op.data.AutoShardDataset.Options: Sets the numReplicas option.
numRequired - Variable in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs: Number of gradients required before we return an aggregate.
numRequired - Variable in class org.tensorflow.op.train.AccumulatorTakeGradient.Inputs: Number of gradients required before we return an aggregate.
numRequired - Variable in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient.Inputs: Number of gradients required before we return an aggregate.
numReservedIds - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: Optionally some reserved IDs can be added in the range [0, ..., num_reserved_ids) by the users.
numReservedIds(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the numReservedIds option.
numReservedIds(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the numReservedIds option.
numResults - Variable in class org.tensorflow.op.math.SobolSample.Inputs: Positive scalar Tensor of dtype int32.
numRetriesPerSample - Variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs: Scalar.
numRows - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: Number of rows (length of the 1st dimension) in the output matrix.
numRows - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: The number of rows of the output matrix.
numRows - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: The number of rows of the output matrix.
numSampled - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: Number of candidates to randomly sample.
numSampled - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: Number of candidates to randomly sample.
numSampled - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: Number of candidates to produce.
numSampled - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: Number of candidates to randomly sample.
numSampled - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: Number of candidates to randomly sample.
numSampled - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: Number of candidates to randomly sample.
numSamples - Variable in class org.tensorflow.op.random.Multinomial.Inputs: 0-D.
numSamples - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: 0-D.
numScPerChip - Variable in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors.Inputs: The numScPerChip attribute
numScPerChip - Variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs: The numScPerChip attribute
numScPerChip - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The numScPerChip attribute
numScPerChip - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The numScPerChip attribute
numScPerChip - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The numScPerChip attribute
numScShards - Variable in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors.Inputs: The numScShards attribute
numSegments - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: Should equal the number of distinct segment IDs.
numSegments - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: Should equal the number of distinct segment IDs.
numSegments - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: Should equal the number of distinct segment IDs.
numSegments - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The numSegments input
numShards - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: An integer representing the number of shards operating in parallel.
numShards - Variable in class org.tensorflow.op.io.ShardedFilename.Inputs: The numShards input
numShards - Variable in class org.tensorflow.op.io.ShardedFilespec.Inputs: The numShards input
numShards - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: A sampler can be used to sample from a subset of the original range in order to speed up the whole computation through parallelism.
numShards - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: Number of shards into which the embedding tables are divided.
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters.Inputs: Number of shards into which the embedding tables are divided.
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The numShards attribute
numShards(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the numShards option.
numShards(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the numShards option.
numSplits - Variable in class org.tensorflow.op.xla.ReadVariableSplitND.Inputs: Number of ways to split per dimension.
numSplits - Variable in class org.tensorflow.op.xla.SplitND.Inputs: Number of ways to split per dimension.
numThreads - Variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs: Identifies the number of threads to use for the private threadpool.
numThreads - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: The number of threads in the thread pool.
numThreads - Variable in class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs: Identifies the number of threads to use for the private threadpool.
numThreads - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: The number of threads in the thread pool.
numThresholds - Variable in class org.tensorflow.framework.metrics.PrecisionAtRecall
numThresholds - Variable in class org.tensorflow.framework.metrics.RecallAtPrecision
numThresholds - Variable in class org.tensorflow.framework.metrics.SensitivityAtSpecificity
numThresholds - Variable in class org.tensorflow.framework.metrics.SpecificityAtSensitivity
numToSample - Variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs: Scalar.
numTrue - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: Number of true labels per context.
numUnits - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The numUnits input
numUnits - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The numUnits input
numUnits - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The numUnits input
numUpper - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: 0-D tensor.
numUpper - Variable in class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs: The numUpper input
numWorkers - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: A scalar representing the number of workers to distribute this dataset across.
numWorkers - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: A scalar representing the number of workers to distribute this dataset across.

O

o - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The output gate over the whole time sequence.
o - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The output gate.
o() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets o.
o() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets o.
OBJECT_GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef
OBJECT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
OBSOLETE_OLD_STYLE_HISTOGRAM - Enum constant in enum org.tensorflow.proto.Summary.Value.ValueCase
OBSOLETE_OLD_STYLE_HISTOGRAM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Value
of(Class, Shape) - Static method in interface org.tensorflow.Tensor: Allocates a tensor of a given datatype and shape.
of(Class, Shape, long) - Static method in interface org.tensorflow.Tensor: Allocates a tensor of a given datatype, shape and size.
of(Class, Shape, long, Consumer) - Static method in interface org.tensorflow.Tensor: Allocates a tensor of a given datatype, shape and size.
of(Class, Shape, Consumer) - Static method in interface org.tensorflow.Tensor: Allocates and initialize a tensor of a given datatype and shape.
of(Class, Shape, ByteDataBuffer) - Static method in interface org.tensorflow.Tensor: Creates a Tensor of any type from the raw data provided by the given buffer.
of(String) - Static method in enum org.tensorflow.framework.activations.Activations: Gets the ActivationType based on the TensorFlow name for the activation
of(TInt64, T, TInt64) - Static method in interface org.tensorflow.SparseTensor: Creates a sparse tensor from indices, values and denseShape dense tensors.
OFF - Enum constant in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: No sharding will be performed.
OFF - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: OFF: No sharding will be performed.
OFF - Enum constant in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel: OFF = -1;
OFF - Enum constant in enum org.tensorflow.proto.RewriterConfig.Toggle: OFF = 2;
OFF - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile: OFF = 2;
OFF - Enum constant in enum org.tensorflow.proto.VerifierConfig.Toggle: OFF = 2;
OFF_VALUE - Static variable in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: No sharding will be performed.
OFF_VALUE - Static variable in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: OFF: No sharding will be performed.
OFF_VALUE - Static variable in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel: OFF = -1;
OFF_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.Toggle: OFF = 2;
OFF_VALUE - Static variable in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile: OFF = 2;
OFF_VALUE - Static variable in enum org.tensorflow.proto.VerifierConfig.Toggle: OFF = 2;
offset - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: The offset attribute
offset - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 1D Tensor for offset, to shift to the normalized x.
offset() - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
offset() - Method in class org.tensorflow.internal.c_api.TF_TString_Union
offset() - Method in class org.tensorflow.op.core.ConcatOffset: Gets offset.
offset(int) - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
offset(Long) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile: Sets the offset option.
offset(Long) - Method in class org.tensorflow.op.core.InitializeTableFromTextFile.Options: Sets the offset option.
offset(TF_TString_Offset) - Method in class org.tensorflow.internal.c_api.TF_TString_Union
OFFSET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BundleEntryProto
OFFSET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
OFFSET_PS - Enum constant in enum org.tensorflow.proto.profiler.Xplane.XEvent.DataCase
OFFSET_PS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XEvent
offsetBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets offsetBackprop.
offsets - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: A 2-D integer tensor of shape [batch_size, 2] containing the y, x locations of the center of each window.
offsets - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The offsets input
offValue - Variable in class org.tensorflow.op.core.OneHot.Inputs: A scalar defining the value to fill in output when indices[j] != i.
ofName(String) - Static method in enum org.tensorflow.framework.losses.Reduction: Get the Reduction based on name
OK - Enum constant in enum org.tensorflow.proto.error.Code: Not an error; returned on success
OK - Enum constant in enum org.tensorflow.proto.WorkerHealth: By default a worker is healthy.
OK_VALUE - Static variable in enum org.tensorflow.proto.error.Code: Not an error; returned on success
OK_VALUE - Static variable in enum org.tensorflow.proto.WorkerHealth: By default a worker is healthy.
oldTensorName - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: Name of the 2-D Tensor to load from checkpoint.
oldVocabFile - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: Path to the old vocab file.
oldVocabSize - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: Number of entries in the old vocab file to consider.
oldVocabSize(Long) - Static method in class org.tensorflow.op.train.GenerateVocabRemapping: Sets the oldVocabSize option.
oldVocabSize(Long) - Method in class org.tensorflow.op.train.GenerateVocabRemapping.Options: Sets the oldVocabSize option.
ON - Enum constant in enum org.tensorflow.proto.RewriterConfig.Toggle: ON = 1;
ON - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile: ON = 1;
ON - Enum constant in enum org.tensorflow.proto.VerifierConfig.Toggle: ON = 1;
ON_1 - Enum constant in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel: The following settings turn on compilation, with higher values being more aggressive.
ON_1_VALUE - Static variable in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel: The following settings turn on compilation, with higher values being more aggressive.
ON_2 - Enum constant in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel: ON_2 = 2;
ON_2_VALUE - Static variable in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel: ON_2 = 2;
on_host() - Method in class org.tensorflow.internal.c_api.TF_AllocatorAttributes
on_host(byte) - Method in class org.tensorflow.internal.c_api.TF_AllocatorAttributes
ON_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.Toggle: ON = 1;
ON_VALUE - Static variable in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile: ON = 1;
ON_VALUE - Static variable in enum org.tensorflow.proto.VerifierConfig.Toggle: ON = 1;
ONE - Enum constant in enum org.tensorflow.proto.RewriterConfig.NumIterationsType: ONE = 1;
ONE_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.NumIterationsType: ONE = 1;
oneHot(Operand, Operand, Operand, Operand, OneHot.Options...) - Method in class org.tensorflow.op.Ops: Returns a one-hot tensor.
OneHot - Class in org.tensorflow.op.core: Returns a one-hot tensor.
OneHot(Operation) - Constructor for class org.tensorflow.op.core.OneHot
OneHot.Inputs - Class in org.tensorflow.op.core
OneHot.Options - Class in org.tensorflow.op.core: Optional attributes for OneHot
ones(Operand, Class) - Method in class org.tensorflow.op.Ops: Creates a one valued tensor given its type and shape.
Ones<T> - Class in org.tensorflow.framework.initializers: Initializer that generates tensors initialized to 1.
Ones<T> - Class in org.tensorflow.op.core: An operator creating a constant initialized with ones of the shape given by `dims`.
Ones() - Constructor for class org.tensorflow.framework.initializers.Ones: Creates an Initializer that sets all values to one.
oneShotIterator(ConcreteFunction, List, List, OneShotIterator.Options...) - Method in class org.tensorflow.op.DataOps: Makes a "one-shot" iterator that can be iterated only once.
OneShotIterator - Class in org.tensorflow.op.data: Makes a "one-shot" iterator that can be iterated only once.
OneShotIterator(Operation) - Constructor for class org.tensorflow.op.data.OneShotIterator
OneShotIterator.Inputs - Class in org.tensorflow.op.data
OneShotIterator.Options - Class in org.tensorflow.op.data: Optional attributes for OneShotIterator
onesLike(Operand) - Method in class org.tensorflow.op.Ops: Returns a tensor of ones with the same shape and type as x.
OnesLike<T> - Class in org.tensorflow.op.core: Returns a tensor of ones with the same shape and type as x.
OnesLike(Operation) - Constructor for class org.tensorflow.op.core.OnesLike
OnesLike.Inputs<T> - Class in org.tensorflow.op.core
onValue - Variable in class org.tensorflow.op.core.OneHot.Inputs: A scalar defining the value to fill in output when indices[j] = i.
op() - Method in class org.tensorflow.op.core.Ones
op() - Method in class org.tensorflow.op.core.Zeros
op() - Method in interface org.tensorflow.op.Op: Return this unit of computation as a single Operation.
op() - Method in class org.tensorflow.op.RawOp
op() - Method in class org.tensorflow.Output
Op - Interface in org.tensorflow.op: A logical unit of computation.
Op - Static variable in class org.tensorflow.generator.op.Names
OP_DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.eager.RemoteTensorHandle
OP_END_REL_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
OP_END_REL_NANOS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDefs
OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.KernelDef
OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeDef
OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpList
OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpInfo
OP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance
OP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.eager.RemoteTensorHandle
OP_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance
OP_NAME - Static variable in class org.tensorflow.op.audio.AudioSpectrogram: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.audio.DecodeWav: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.audio.EncodeWav: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.audio.Mfcc: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.BitwiseAnd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.BitwiseOr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.BitwiseXor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.Invert: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.LeftShift: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.RightShift: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.cluster.KMC2ChainInitialization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveAllToAll: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveAssignGroup: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveBcastRecv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveBcastSend: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectivePermute: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveReduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveReduceScatter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Abort: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.All: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AnonymousHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AnonymousMutableHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Any: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ApproxTopK: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssertThat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Assign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignAddVariableOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignSubVariableOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignVariableOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Barrier: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierClose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierIncompleteSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierInsertMany: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierReadySize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierTakeMany: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Batch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BatchFunction: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BatchToSpace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BatchToSpaceNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Bitcast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BroadcastDynamicShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BroadcastGradientArgs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BroadcastTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Bucketize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CheckPinned: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ClipByValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CompositeTensorVariantFromComponents: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CompositeTensorVariantToComponents: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Concat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ConcatOffset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Constant
OP_NAME - Static variable in class org.tensorflow.op.core.ConsumeMutexLock: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ControlTrigger: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Copy: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CopyHost: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CopyToMesh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CopyToMeshGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CountUpTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DecodeProto: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DeepCopy: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DeleteSessionTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DestroyResourceOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DestroyTemporaryVariable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DeviceIndex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DummyMemoryCache: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DynamicPartition: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DynamicStitch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EditDistance: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Empty: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EmptyTensorList: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EmptyTensorMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EncodeProto: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EnsureShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Enter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Exit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ExpandDims: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ExtractVolumePatches: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.FakeParam: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.FileSystemSetConfiguration: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Fill: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Fingerprint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.For: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Gather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GatherNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GetElementAtIndex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GetOptions: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GetSessionHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GetSessionTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GuaranteeConst: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.HashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.HistogramFixedWidth: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.HostConst: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Identity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.IdentityN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ImmutableConst: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InitializeTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InitializeTableFromTextFile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InplaceAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InplaceSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InplaceUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.IsVariableInitialized: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.KthOrderStatistic: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LinSpace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableExport: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableFind: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableImport: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableInsert: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableRemove: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LoopCond: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LowerBound: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MakeUnique: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapClear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapDefun: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapIncompleteSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapPeek: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapStage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapUnstage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapUnstageNoKey: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Max: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Merge: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Min: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MirrorPad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MirrorPadGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MlirPassthroughOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MutableDenseHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MutableHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MutableHashTableOfTensors: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Mutex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MutexLock: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NcclAllReduce: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NcclBroadcast: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NcclReduce: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NextIteration: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NoOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OneHot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OnesLike: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapClear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapIncompleteSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapPeek: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapStage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapUnstage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Pad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ParallelConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ParallelDynamicStitch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.PartitionedCall: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Placeholder: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.PlaceholderWithDefault: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Print: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Prod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.QuantizedReshape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RandomIndexShuffle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Range: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Rank: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReadVariableOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Recv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceAll: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceAny: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceProd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefEnter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefExit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefIdentity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefMerge: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefNextIteration: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefSelect: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefSwitch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Relayout: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RelayoutLike: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RemoteCall: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Reshape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceCountUpTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceGatherNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceStridedSliceAssign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Reverse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReverseSequence: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Roll: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Select: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Send: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SetDiff1d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SetSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Shape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ShapeN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Size: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Skipgram: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Slice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Snapshot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SpaceToBatchNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Split: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SplitV: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Squeeze: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Stack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StackClose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StackCreate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StackPop: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StackPush: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Stage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StageClear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StagePeek: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StageSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatefulCase: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatefulIf: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatefulPartitionedCall: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatefulWhile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatelessCase: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatelessIf: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatelessWhile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StochasticCastToInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StopGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StridedSlice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StridedSliceAssign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StridedSliceGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Sum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SwitchCond: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SyncDevice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TemporaryVariable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArray: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayClose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayGradWithShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayPack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayRead: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayScatter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArraySize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArraySplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayUnpack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayWrite: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListConcatLists: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListElementShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListFromTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListGetItem: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListLength: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListPopBack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListPushBack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListPushBackBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListReserve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListResize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListScatter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListSetItem: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListSplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListStack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapErase: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapHasKey: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapInsert: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapLookup: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapStackKeys: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorStridedSliceUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Tile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Timestamp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TopKUnique: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TopKWithUnique: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Unbatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UnbatchGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UniformQuantizedClipByValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Unique: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UniqueWithCounts: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UnravelIndex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Unstack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Unstage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UpperBound: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.VarHandleOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Variable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.VariableShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.VarIsInitializedOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Where: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ZerosLike: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AnonymousIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AnonymousMemoryCache: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AnonymousMultiDeviceIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AssertCardinalityDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AssertNextDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AssertPrevDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AutoShardDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.BatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.BytesProducedStatsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.CacheDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ChooseFastestBranchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ChooseFastestDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.CompressElement: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ConcatenateDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.CSVDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DataServiceDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetCardinality: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetFingerprint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetFromGraph: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetToGraph: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetToSingleElement: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetToTfRecord: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DeleteIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DeleteMemoryCache: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DeleteMultiDeviceIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DenseToSparseBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DeserializeIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DirectedInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DummyIterationCounter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.AssertNextDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.AutoShardDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.CSVDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.DatasetCardinality: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.DatasetToTFRecord: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.IteratorGetDevice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.LmdbDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.MapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.MatchingFilesDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.NonSerializableDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ParseExampleDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.RandomDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.RebatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ScanDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.SleepDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.SqlDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.StatsAggregatorSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.TakeWhileDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.UnbatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.UniqueDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FilterByLastComponentDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FilterDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FinalizeDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FixedLengthRecordDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FlatMapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.GeneratorDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.GlobalShuffleDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.GroupByReducerDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.GroupByWindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IgnoreErrorsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IndexFlatMapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.InitializeTableFromDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.InterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.Iterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorFromStringHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetDevice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetModelProto: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetNext: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetNextAsOptional: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetNextSync: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorToStringHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LatencyStatsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LeakyReluGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ListDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ListSnapshotChunksDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LMDBDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LoadDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MakeIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MapAndBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MatchingFilesDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ModelDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIteratorInit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.NonSerializableDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OneShotIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptimizeDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionalFromValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionalGetValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionalHasValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionalNone: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.PaddedBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParallelBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParallelFilterDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParallelInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParallelMapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParseExampleDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.PrefetchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.PrivateThreadPoolDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RandomDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RangeDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RebatchDatasetV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ReduceDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RegisterDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RepeatDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RewriteDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SamplingDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ScanDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SerializeIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SetStatsAggregatorDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ShardDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ShuffleDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SkipDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SleepDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SlidingWindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SnapshotChunkDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SnapshotDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SnapshotDatasetReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SnapshotNestedDatasetReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SparseTensorSliceDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SqlDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.StatsAggregatorHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TakeDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TakeWhileDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TensorDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TensorSliceDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TextLineDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TfRecordDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ThreadPoolDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ThreadPoolHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.UnbatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.UncompressElement: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.UniqueDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.UnwrapDatasetVariant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.WeightedFlatMapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.WindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.WindowOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.WrapDatasetVariant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ZipDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.CheckNumerics: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugGradientIdentity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugGradientRefIdentity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugIdentity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugNanCount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugNumericsSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.distribute.NcclAllReduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.distribute.NcclBroadcast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.distribute.NcclReduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.dtypes.AsString: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.dtypes.Cast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.dtypes.Complex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.dtypes.ToBool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.AdjustContrast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.AdjustHue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.AdjustSaturation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.CombinedNonMaxSuppression: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.CropAndResize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.CropAndResizeGradBoxes: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.CropAndResizeGradImage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeAndCropJpeg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeBmp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeGif: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeImage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeJpeg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodePng: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DrawBoundingBoxes: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.EncodeJpeg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.EncodeJpegVariableQuality: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.EncodePng: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ExtractGlimpse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ExtractImagePatches: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ExtractJpegShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.HsvToRgb: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ImageProjectiveTransformV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ImageProjectiveTransformV3: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.NearestNeighbors: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.NonMaxSuppression: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.QuantizedResizeBilinear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.RandomCrop: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeArea: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeBicubic: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeBicubicGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeBilinear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeBilinearGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeNearestNeighbor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.RgbToHsv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.SampleDistortedBoundingBox: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ScaleAndTranslate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ScaleAndTranslateGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeBase64: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeCompressed: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeCsv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeJsonExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodePaddedRaw: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeRaw: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DeserializeManySparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DisableCopyOnRead: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.EncodeBase64: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.FakeQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.FifoQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.FixedLengthRecordReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.IdentityReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.LmdbReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.MatchingFiles: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.PaddingFifoQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseSequenceExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseSingleExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseSingleSequenceExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.PriorityQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueClose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueDequeue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueDequeueMany: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueDequeueUpTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueEnqueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueEnqueueMany: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueIsClosed: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.RandomShuffleQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderNumRecordsProduced: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderRead: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderReadUpTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderReset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderRestoreState: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderSerializeState: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReadFile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.SerializeManySparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.SerializeSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.SerializeTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ShardedFilename: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ShardedFilespec: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.TextLineReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.TfRecordReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.WholeFileReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.WriteFile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BandedTriangularSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BandPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchCholesky: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchCholeskyGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixBandPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixDeterminant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixDiagPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixInverse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixSetDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchSelfAdjointEig: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchSvd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Cholesky: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.CholeskyGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.ConjugateTranspose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Cross: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Det: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Eig: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Einsum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.EuclideanNorm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Inv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.LogMatrixDeterminant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Lu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixDiagPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixDiagPartV3: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixDiagV3: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixExponential: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixLogarithm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixSetDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixSolveLs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Qr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.QuantizedMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.SelfAdjointEig: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Solve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Sqrtm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Svd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TensorDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TensorDiagPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Transpose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TriangularSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TridiagonalMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TridiagonalSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Abs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.AccumulateN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Acos: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Acosh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Add: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.AddN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Angle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ApproximateEqual: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ArgMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ArgMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Asin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Asinh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Atan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Atan2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Atanh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.BesselI0: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.BesselI0e: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.BesselI1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.BesselI1e: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Betainc: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Bincount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Ceil: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ComplexAbs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Conj: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Cos: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Cosh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Cumprod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Cumsum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.CumulativeLogsumexp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.DenseBincount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Digamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Div: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.DivNoNan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Equal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Erf: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Erfc: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.erfinv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Exp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Expm1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Fact: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Floor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.FloorDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.FloorMod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Greater: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.GreaterEqual: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Igamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Igammac: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.IgammaGradA: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Imag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.InvertPermutation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.IsFinite: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.IsInf: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.IsNan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Less: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.LessEqual: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Lgamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Log: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Log1p: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.LogicalAnd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.LogicalNot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.LogicalOr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Maximum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Mean: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Minimum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Mod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Mul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.MulNoNan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Ndtri: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Neg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.NextAfter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.NotEqual: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Polygamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.PopulationCount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Pow: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.QuantizedAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.QuantizedMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Real: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.RealDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Reciprocal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ReciprocalGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.RequantizationRangePerChannel: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.RequantizePerChannel: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Rint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Round: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Rsqrt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.RsqrtGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentMean: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentProd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sigmoid: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SigmoidGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sinh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SobolSample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Softplus: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SoftplusGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselJ0: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselJ1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselK0: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselK0e: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselK1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselK1e: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselY0: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselY1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.Dawsn: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.Expint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.FresnelCos: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.FresnelSin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.Spence: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sqrt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SqrtGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Square: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SquaredDifference: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Tan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Tanh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.TanhGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.TruncateDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.TruncateMod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UniformQuantizedAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UnsortedSegmentMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UnsortedSegmentMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UnsortedSegmentProd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UnsortedSegmentSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Xdivy: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Xlog1py: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Xlogy: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Zeta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.AvgPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.AvgPool3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.AvgPool3dGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.AvgPoolGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BiasAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BiasAddGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BlockLSTM: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BlockLSTMGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.ComputeAccidentalHits: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2dBackpropFilter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2dBackpropInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv3dBackpropFilter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv3dBackpropInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CtcGreedyDecoder: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CtcLoss: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CTCLossV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRNN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRNNBackprop: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRnnParamsSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DataFormatDimMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DataFormatVecPermute: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DepthToSpace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DepthwiseConv2dNative: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Dilation2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Dilation2dBackpropInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Elu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.EluGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FractionalAvgPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FractionalMaxPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FusedBatchNorm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FusedBatchNormGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FusedPadConv2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.GRUBlockCell: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.GRUBlockCellGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.InTopK: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.InvGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.IsotonicRegression: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.L2Loss: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LeakyRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LocalResponseNormalization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LogSoftmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LSTMBlockCell: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LSTMBlockCellGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPool3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPool3dGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPool3dGradGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolGradGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolWithArgmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.NthElement: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedAvgPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedBiasAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedInstanceNorm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedMaxPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedRelu6: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedReluX: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Relu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Relu6: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Relu6Grad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.ReluGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Selu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SeluGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Softmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Softsign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SoftsignGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SpaceToBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SpaceToDepth: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.TopK: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.UniformQuantizedConvolution: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.Dequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.Quantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeAndDequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizedConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.RequantizationRange: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.Requantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.UniformDequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.UniformQuantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.UniformQuantizedDot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.UniformRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedBincount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedCross: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedFillEmptyRows: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedRange: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorToSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorToTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorToVariant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.AllCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.AnonymousRandomSeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.AnonymousSeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.DeleteRandomSeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.DeleteSeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.DummySeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.experimental.StatelessShuffle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.LogUniformCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.Multinomial: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.NonDeterministicInts: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomGamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomGammaGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomPoisson: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomShuffle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomStandardNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomUniform: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomUniformInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RecordInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RngReadAndSkip: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RngSkip: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulRandomBinomial: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulStandardNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulTruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulUniform: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulUniformFullInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulUniformInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessMultinomial: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomBinomial: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomGamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomGetAlg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomNormalV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomPoisson: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniform: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessTruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.TruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.UniformCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchFft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchFft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchFft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchIfft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchIfft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchIfft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Fft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Fft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Fft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.FftNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Ifft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Ifft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Ifft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.IfftNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Irfft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Irfft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Irfft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.IrfftNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Rfft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Rfft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Rfft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.RfftNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.DenseCountSparseOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.DeserializeSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseAddGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseBincount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseCountSparseOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseCross: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseCrossHashed: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseFillEmptyRows: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReduceMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReduceSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReduceSumSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReorder: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReshape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentMean: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSlice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSliceGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSoftmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSparseMaximum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSparseMinimum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseToDense: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Join: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Lower: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ReduceJoin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.RegexFullMatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.RegexReplace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StaticRegexFullMatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StaticRegexReplace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StringFormat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StringLength: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StringNGrams: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StringSplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Strip: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Substr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ToHashBucket: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ToHashBucketFast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ToHashBucketStrong: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ToNumber: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeDecode: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeEncode: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeScript: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeTranscode: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnsortedSegmentJoin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Upper: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.AudioSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.CloseSummaryWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.CreateSummaryDbWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.CreateSummaryFileWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.FlushSummaryWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.HistogramSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.ImageSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.ImportEvent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.MergeSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.ScalarSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.StatsAggregatorSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.SummaryWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.TensorSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteAudioSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteGraphSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteHistogramSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteImageSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteRawProtoSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteScalarSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.AllToAll: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.CompilationResult: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.Compile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.CompileSucceededAssert: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ComputeDedupDataSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConfigureTPUEmbedding: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConnectTPUEmbeddingHosts: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConvertToCooTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.CrossReplicaSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.DTensorRestore: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EmbeddingActivations: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.Execute: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.FinalizeTPUEmbedding: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.GetTpuTaskId: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.GlobalIterId: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedDequeue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedDequeueTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedEnqueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.MergeDedupData: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OrdinalSelector: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedDequeue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedDequeueTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedDequeueV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedEnqueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedEnqueueTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.PartitionedCall: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.PartitionedInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.PartitionedOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.Prelinearize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.PrelinearizeTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ReplicatedInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ReplicatedOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ReplicateMetadata: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ShutdownDistributedTPU: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ShutdownTPUSystem: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.SplitDedupData: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TpuHandleToProtoKey: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUReshardVariables: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPURoundRobin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.UpdateTaskIdAndGlobalCoreArray: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.WorkerHeartbeat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.AccumulatorApplyGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.AccumulatorNumAccumulated: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.AccumulatorSetGlobalStep: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.AccumulatorTakeGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdadelta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdagradDa: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdagradV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdam: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdaMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAddSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyCenteredRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyPowerSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyProximalAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyProximalGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.BatchMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ComputeBatchSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ConditionalAccumulator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.DistributedSave: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.GenerateVocabRemapping: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.MergeV2Checkpoints: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.NegTrain: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.PreventGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdadelta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdagradDa: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdam: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdaMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAddSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyPowerSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceConditionalAccumulator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.Restore: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.RestoreSlice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.Save: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SaveSlices: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SdcaFprint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SdcaOptimizer: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SdcaShrinkL1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyAdadelta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyAdagradDa: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SymbolicGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.TileGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.AssignVariableConcatND: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.ConcatND: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.ReadVariableSplitND: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.SplitND: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaHostCompute: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaRecvFromHost: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSendToHost: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseCoreAdam: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseCoreSgd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize: The name of this op, as known by TensorFlow core engine
OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemChunk
OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphExecutionTrace
OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOpCreation
OP_PERFORMANCE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
OP_START_REL_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
OP_START_REL_NANOS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
OP_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Execution
OP_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOpCreation
opBuilder(String, String) - Method in interface org.tensorflow.op.Scope: Returns a builder to create a new Operation.
opBuilder(String, String, Scope) - Method in class org.tensorflow.EagerSession
opBuilder(String, String, Scope) - Method in interface org.tensorflow.ExecutionEnvironment: Returns a builder to create a new Operation.
opBuilder(String, String, Scope) - Method in class org.tensorflow.Graph: Returns a builder to add Operations to the Graph.
OpDef - Class in org.tensorflow.proto: Defines an operation.
OpDef.ArgDef - Class in org.tensorflow.proto: For describing inputs and outputs.
OpDef.ArgDef.Builder - Class in org.tensorflow.proto: For describing inputs and outputs.
OpDef.ArgDefOrBuilder - Interface in org.tensorflow.proto
OpDef.AttrDef - Class in org.tensorflow.proto: Description of the graph-construction-time configuration of this Op.
OpDef.AttrDef.Builder - Class in org.tensorflow.proto: Description of the graph-construction-time configuration of this Op.
OpDef.AttrDefOrBuilder - Interface in org.tensorflow.proto
OpDef.Builder - Class in org.tensorflow.proto: Defines an operation.
OpDefOrBuilder - Interface in org.tensorflow.proto
OpDefProtos - Class in org.tensorflow.proto
OpDeprecation - Class in org.tensorflow.proto: Information about version-dependent deprecation of an op
OpDeprecation.Builder - Class in org.tensorflow.proto: Information about version-dependent deprecation of an op
OpDeprecationOrBuilder - Interface in org.tensorflow.proto
oper() - Method in class org.tensorflow.internal.c_api.TF_Input
oper() - Method in class org.tensorflow.internal.c_api.TF_Output
oper(TF_Operation) - Method in class org.tensorflow.internal.c_api.TF_Input
oper(TF_Operation) - Method in class org.tensorflow.internal.c_api.TF_Output
operand - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: Must be a Tensor of T.
Operand<T> - Interface in org.tensorflow: Interface implemented by operands of a TensorFlow operation.
Operand - Static variable in class org.tensorflow.generator.op.Names
Operands - Class in org.tensorflow.op: Utilities for manipulating operand related types and lists.
Operands - Static variable in class org.tensorflow.generator.op.Names
operation - Variable in class org.tensorflow.op.RawOp
operation(String) - Method in class org.tensorflow.Graph: Returns the operation (node in the Graph) with the provided name.
Operation - Interface in org.tensorflow: Performs computation on Tensors.
Operation - Static variable in class org.tensorflow.generator.op.Names
OPERATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogRawAllocation
OPERATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogRawDeallocation
OPERATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
OperationAttributeInspector - Interface in org.tensorflow: Helper type for attribute getters, so we don't clutter the operation classes too much.
OperationBuilder - Interface in org.tensorflow: A builder for Operations.
OperationBuilder - Static variable in class org.tensorflow.generator.op.Names
operationOrThrow(String) - Method in class org.tensorflow.Graph: Returns the operation (node in the Graph) with the provided name, or throws IllegalArgumentException if there isn't one.
operations() - Method in class org.tensorflow.Graph: Iterator over all the Operations in the graph.
Operator - Annotation Type in org.tensorflow.op.annotation: Annotation used by classes to make TensorFlow operations conveniently accessible via org.tensorflow.op.Ops or one of its groups.
Operator - Static variable in class org.tensorflow.generator.op.Names
OperatorProcessor - Class in org.tensorflow.generator.op.processor: A compile-time Processor that aggregates classes annotated with org.tensorflow.op.annotation.Operator and generates the Ops convenience API.
OperatorProcessor() - Constructor for class org.tensorflow.generator.op.processor.OperatorProcessor
OpGenerator - Class in org.tensorflow.generator.op
OpInputsMetadata - Annotation Type in org.tensorflow.op.annotation: An annotation to provide metadata about an op inputs accessor class.
OpInputsMetadata - Static variable in class org.tensorflow.generator.op.Names
OpList - Class in org.tensorflow.proto: A collection of OpDefs
OpList.Builder - Class in org.tensorflow.proto: A collection of OpDefs
OpListOrBuilder - Interface in org.tensorflow.proto
OpMetadata - Annotation Type in org.tensorflow.op.annotation: An annotation to provide metadata about an op.
OpMetadata - Static variable in class org.tensorflow.generator.op.Names
OpPackage - Static variable in class org.tensorflow.generator.op.Names
OpPerformanceData - Class in org.tensorflow.proto
OpPerformanceData.LogNormalDistribution - Class in org.tensorflow.proto: Protobuf type tensorflow.LogNormalDistribution
OpPerformanceData.LogNormalDistribution.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.LogNormalDistribution
OpPerformanceData.LogNormalDistributionOrBuilder - Interface in org.tensorflow.proto
OpPerformanceData.NormalDistribution - Class in org.tensorflow.proto: Protobuf type tensorflow.NormalDistribution
OpPerformanceData.NormalDistribution.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.NormalDistribution
OpPerformanceData.NormalDistributionOrBuilder - Interface in org.tensorflow.proto
OpPerformanceData.OpInfo - Class in org.tensorflow.proto: Description of an operation as well as the parameters expected to impact its performance.
OpPerformanceData.OpInfo.Builder - Class in org.tensorflow.proto: Description of an operation as well as the parameters expected to impact its performance.
OpPerformanceData.OpInfo.TensorProperties - Class in org.tensorflow.proto: Input data types, shapes and values if known.
OpPerformanceData.OpInfo.TensorProperties.Builder - Class in org.tensorflow.proto: Input data types, shapes and values if known.
OpPerformanceData.OpInfo.TensorPropertiesOrBuilder - Interface in org.tensorflow.proto
OpPerformanceData.OpInfoOrBuilder - Interface in org.tensorflow.proto
OpPerformanceData.OpPerformance - Class in org.tensorflow.proto: Performance data for tensorflow operations
OpPerformanceData.OpPerformance.Builder - Class in org.tensorflow.proto: Performance data for tensorflow operations
OpPerformanceData.OpPerformance.ExecutionTimeCase - Enum in org.tensorflow.proto
OpPerformanceData.OpPerformance.OpMemory - Class in org.tensorflow.proto: Memory usage data for a tensorflow operation.
OpPerformanceData.OpPerformance.OpMemory.Builder - Class in org.tensorflow.proto: Memory usage data for a tensorflow operation.
OpPerformanceData.OpPerformance.OpMemoryOrBuilder - Interface in org.tensorflow.proto
OpPerformanceData.OpPerformanceList - Class in org.tensorflow.proto: A collection of OpPerformance data points.
OpPerformanceData.OpPerformanceList.Builder - Class in org.tensorflow.proto: A collection of OpPerformance data points.
OpPerformanceData.OpPerformanceListOrBuilder - Interface in org.tensorflow.proto
OpPerformanceData.OpPerformanceOrBuilder - Interface in org.tensorflow.proto
OpPerformanceData.SessionInfo - Class in org.tensorflow.proto: Description of the session when an op is run.
OpPerformanceData.SessionInfo.Builder - Class in org.tensorflow.proto: Description of the session when an op is run.
OpPerformanceData.SessionInfoOrBuilder - Interface in org.tensorflow.proto
ops() - Method in class org.tensorflow.op.AudioOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.BitwiseOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.ClusterOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.CollectiveOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.DataExperimentalOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.DataOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.DebuggingOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.DistributeOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.DtypesOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.ImageOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.IoOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.LinalgOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.LinalgSparseOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.MathOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.MathSpecialOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.NnOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.QuantizationOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.RaggedOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.RandomExperimentalOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.RandomOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.ShapeOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.SignalOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.SparseOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.StringsOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.SummaryOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.TpuOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.TrainOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.XlaOps: Get the parent Ops object.
Ops - Class in org.tensorflow.op: An API for building operations as Ops
Ops - Static variable in class org.tensorflow.generator.op.Names
OpScope - Class in org.tensorflow.op: A Java implementation of Scope.
OpScope - Static variable in class org.tensorflow.generator.op.Names
OpScope(ExecutionEnvironment) - Constructor for class org.tensorflow.op.OpScope: Create a new top-level scope.
OPT_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizerOptions
OPTIMIZATION_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.Options
OPTIMIZATION_PARAMS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto
OPTIMIZATION_TIME_USECS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
optimizationConfigs - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: The optimizationConfigs attribute
optimizationConfigs(String...) - Static method in class org.tensorflow.op.data.OptimizeDataset: Sets the optimizationConfigs option.
optimizationConfigs(String...) - Method in class org.tensorflow.op.data.OptimizeDataset.Options: Sets the optimizationConfigs option.
optimizationConfigs(List) - Static method in class org.tensorflow.op.data.OptimizeDataset: Sets the optimizationConfigs option.
optimizationConfigs(List) - Method in class org.tensorflow.op.data.OptimizeDataset.Options: Sets the optimizationConfigs option.
optimizationsDefault - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: A tf.string vector tf.Tensor identifying optimizations by default.
optimizationsDisabled - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: A tf.string vector tf.Tensor identifying user disabled optimizations.
optimizationsEnabled - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: A tf.string vector tf.Tensor identifying user enabled optimizations.
OPTIMIZE_FOR_STATIC_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
optimizeDataset(Operand, Operand, Operand, Operand, List, List, OptimizeDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset by applying related optimizations to input_dataset.
OptimizeDataset - Class in org.tensorflow.op.data: Creates a dataset by applying related optimizations to input_dataset.
OptimizeDataset(Operation) - Constructor for class org.tensorflow.op.data.OptimizeDataset
OptimizeDataset.Inputs - Class in org.tensorflow.op.data
OptimizeDataset.Options - Class in org.tensorflow.op.data: Optional attributes for OptimizeDataset
OptimizedFunctionGraphOuterClass - Class in org.tensorflow.proto
OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph - Class in org.tensorflow.proto: Optimized function graph after instantiation-related graph optimization passes (up till before graph partitioning).
OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder - Class in org.tensorflow.proto: Optimized function graph after instantiation-related graph optimization passes (up till before graph partitioning).
OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource - Enum in org.tensorflow.proto: Enum for distinguishing the origin where the proto is created.
OptimizedFunctionGraphOuterClass.OptimizedFunctionGraphOrBuilder - Interface in org.tensorflow.proto
Optimizer - Class in org.tensorflow.framework.optimizers: Base class for gradient optimizers.
Optimizer(Graph) - Constructor for class org.tensorflow.framework.optimizers.Optimizer: Builds an optimizer for the supplied graph.
Optimizer(Graph, String) - Constructor for class org.tensorflow.framework.optimizers.Optimizer: Builds an optimizer for the supplied graph.
OPTIMIZER_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOptions
Optimizer.GradAndVar<T> - Class in org.tensorflow.framework.optimizers: A class that holds a paired gradient and variable.
Optimizer.Options - Class in org.tensorflow.framework.optimizers: Optional attributes for Optimizer
OptimizerOptions - Class in org.tensorflow.proto: Options passed to the graph optimizer
OptimizerOptions.Builder - Class in org.tensorflow.proto: Options passed to the graph optimizer
OptimizerOptions.GlobalJitLevel - Enum in org.tensorflow.proto: Control the use of the compiler/jit.
OptimizerOptions.Level - Enum in org.tensorflow.proto: Optimization level
OptimizerOptionsOrBuilder - Interface in org.tensorflow.proto
Optimizers - Enum in org.tensorflow.framework.optimizers: Enumerator used to create a new Optimizer with default parameters.
OPTIMIZERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
optimizeSize - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: If True, spend CPU/RAM to reduce size with no quality change.
optimizeSize(Boolean) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the optimizeSize option.
optimizeSize(Boolean) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the optimizeSize option.
optional - Variable in class org.tensorflow.op.data.OptionalGetValue.Inputs: The optional input
optional - Variable in class org.tensorflow.op.data.OptionalHasValue.Inputs: The optional input
optional() - Method in class org.tensorflow.op.data.IteratorGetNextAsOptional: Gets optional.
optional() - Method in class org.tensorflow.op.data.OptionalFromValue: Gets optional.
optional() - Method in class org.tensorflow.op.data.OptionalNone: Gets optional.
OPTIONAL_SPEC - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.OptionalSpec
OPTIONAL_SPEC_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.OptionalSpec
OPTIONALAPPLYDEFAULTOPTIMIZATIONS_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalApplyDefaultOptimizationsCase
OPTIONALAUTOTUNEALGORITHM_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalAutotuneAlgorithmCase
OPTIONALCPUBUDGET_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalCpuBudgetCase
OPTIONALDATASETNAME_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDatasetNameCase
OPTIONALDETERMINISTIC_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDeterministicCase
OPTIONALELEMENTSPEC_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.OptionalElementSpecCase
OPTIONALENABLED_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalEnabledCase
OPTIONALEXTERNALSTATEPOLICY_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalExternalStatePolicyCase
OPTIONALFILTERFUSION_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterFusionCase
OPTIONALFILTERPARALLELIZATION_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterParallelizationCase
optionalFromValue(Iterable) - Method in class org.tensorflow.op.DataOps: Constructs an Optional variant from a tuple of tensors.
OptionalFromValue - Class in org.tensorflow.op.data: Constructs an Optional variant from a tuple of tensors.
OptionalFromValue(Operation) - Constructor for class org.tensorflow.op.data.OptionalFromValue
OptionalFromValue.Inputs - Class in org.tensorflow.op.data
optionalGetValue(Operand, List, List) - Method in class org.tensorflow.op.DataOps: Returns the value stored in an Optional variant or raises an error if none exists.
OptionalGetValue - Class in org.tensorflow.op.data: Returns the value stored in an Optional variant or raises an error if none exists.
OptionalGetValue(Operation) - Constructor for class org.tensorflow.op.data.OptionalGetValue
OptionalGetValue.Inputs - Class in org.tensorflow.op.data
optionalHasValue(Operand) - Method in class org.tensorflow.op.DataOps: Returns true if and only if the given Optional variant has a value.
OptionalHasValue - Class in org.tensorflow.op.data: Returns true if and only if the given Optional variant has a value.
OptionalHasValue(Operation) - Constructor for class org.tensorflow.op.data.OptionalHasValue
OptionalHasValue.Inputs - Class in org.tensorflow.op.data
OPTIONALINITIALPARALLELISM_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalInitialParallelismCase
OPTIONALINJECTPREFETCH_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalInjectPrefetchCase
OPTIONALMAPANDBATCHFUSION_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndBatchFusionCase
OPTIONALMAPANDFILTERFUSION_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndFilterFusionCase
OPTIONALMAPFUSION_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapFusionCase
OPTIONALMAPPARALLELIZATION_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapParallelizationCase
OPTIONALMAXINTRAOPPARALLELISM_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalMaxIntraOpParallelismCase
optionalNone() - Method in class org.tensorflow.op.DataOps: Creates an Optional variant with no value.
OptionalNone - Class in org.tensorflow.op.data: Creates an Optional variant with no value.
OptionalNone(Operation) - Constructor for class org.tensorflow.op.data.OptionalNone
OptionalNone.Inputs - Class in org.tensorflow.op.data
OPTIONALNOOPELIMINATION_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalNoopEliminationCase
OPTIONALNUMDEVICES_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.DistributeOptions.OptionalNumDevicesCase
OPTIONALPARALLELBATCH_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalParallelBatchCase
OPTIONALPINNED_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.ServiceOptions.OptionalPinnedCase
OPTIONALPRIVATETHREADPOOLSIZE_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalPrivateThreadpoolSizeCase
OPTIONALRAMBUDGET_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalRamBudgetCase
OPTIONALSEQINTERLEAVEPREFETCH_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalSeqInterleavePrefetchCase
OPTIONALSHUFFLEANDREPEATFUSION_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalShuffleAndRepeatFusionCase
OPTIONALSLACK_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSlackCase
OPTIONALSYMBOLICCHECKPOINT_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSymbolicCheckpointCase
OPTIONALWARMSTART_NOT_SET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalWarmStartCase
options() - Static method in class org.tensorflow.EagerSession: Returns an object that configures and builds a EagerSession with custom options.
optionsDataset(Operand, String, List, List, OptionsDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset by attaching tf.data.Options to input_dataset.
OptionsDataset - Class in org.tensorflow.op.data: Creates a dataset by attaching tf.data.Options to input_dataset.
OptionsDataset(Operation) - Constructor for class org.tensorflow.op.data.OptionsDataset
OptionsDataset.Inputs - Class in org.tensorflow.op.data
OptionsDataset.Options - Class in org.tensorflow.op.data: Optional attributes for OptionsDataset
opts - Variable in class org.tensorflow.internal.c_api.AbstractTF_Session
opts - Variable in class org.tensorflow.internal.c_api.AbstractTFE_Context: References to prevent deallocation.
OPTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BuildConfiguration
opType() - Element in annotation type org.tensorflow.op.annotation.OpMetadata: The type of the op in the TF runtime.
orderedMapClear(List, OrderedMapClear.Options...) - Method in class org.tensorflow.op.Ops: Op removes all elements in the underlying container.
OrderedMapClear - Class in org.tensorflow.op.core: Op removes all elements in the underlying container.
OrderedMapClear(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapClear
OrderedMapClear.Inputs - Class in org.tensorflow.op.core
OrderedMapClear.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapClear
orderedMapIncompleteSize(List, OrderedMapIncompleteSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of incomplete elements in the underlying container.
OrderedMapIncompleteSize - Class in org.tensorflow.op.core: Op returns the number of incomplete elements in the underlying container.
OrderedMapIncompleteSize(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapIncompleteSize
OrderedMapIncompleteSize.Inputs - Class in org.tensorflow.op.core
OrderedMapIncompleteSize.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapIncompleteSize
orderedMapPeek(Operand, Operand, List, OrderedMapPeek.Options...) - Method in class org.tensorflow.op.Ops: Op peeks at the values at the specified key.
OrderedMapPeek - Class in org.tensorflow.op.core: Op peeks at the values at the specified key.
OrderedMapPeek(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapPeek
OrderedMapPeek.Inputs - Class in org.tensorflow.op.core
OrderedMapPeek.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapPeek
orderedMapSize(List, OrderedMapSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of elements in the underlying container.
OrderedMapSize - Class in org.tensorflow.op.core: Op returns the number of elements in the underlying container.
OrderedMapSize(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapSize
OrderedMapSize.Inputs - Class in org.tensorflow.op.core
OrderedMapSize.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapSize
orderedMapStage(Operand, Operand, Iterable, List, OrderedMapStage.Options...) - Method in class org.tensorflow.op.Ops: Stage (key, values) in the underlying container which behaves like a ordered associative container.
OrderedMapStage - Class in org.tensorflow.op.core: Stage (key, values) in the underlying container which behaves like a ordered associative container.
OrderedMapStage(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapStage
OrderedMapStage.Inputs - Class in org.tensorflow.op.core
OrderedMapStage.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapStage
orderedMapUnstage(Operand, Operand, List, OrderedMapUnstage.Options...) - Method in class org.tensorflow.op.Ops: Op removes and returns the values associated with the key from the underlying container.
OrderedMapUnstage - Class in org.tensorflow.op.core: Op removes and returns the values associated with the key from the underlying container.
OrderedMapUnstage(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapUnstage
OrderedMapUnstage.Inputs - Class in org.tensorflow.op.core
OrderedMapUnstage.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapUnstage
orderedMapUnstageNoKey(Operand, List, OrderedMapUnstageNoKey.Options...) - Method in class org.tensorflow.op.Ops: Op removes and returns the (key, value) element with the smallest key from the underlying container.
OrderedMapUnstageNoKey - Class in org.tensorflow.op.core: Op removes and returns the (key, value) element with the smallest key from the underlying container.
OrderedMapUnstageNoKey(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapUnstageNoKey
OrderedMapUnstageNoKey.Inputs - Class in org.tensorflow.op.core
OrderedMapUnstageNoKey.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapUnstageNoKey
orderingToken - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The orderingToken input
orderingToken - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The orderingToken input
ordinalSelector() - Method in class org.tensorflow.op.TpuOps: A TPU core selector Op.
OrdinalSelector - Class in org.tensorflow.op.tpu: A TPU core selector Op.
OrdinalSelector(Operation) - Constructor for class org.tensorflow.op.tpu.OrdinalSelector
OrdinalSelector.Inputs - Class in org.tensorflow.op.tpu
org.tensorflow - package org.tensorflow: Defines classes to build, save, load and execute TensorFlow models.
org.tensorflow.exceptions - package org.tensorflow.exceptions
org.tensorflow.framework.activations - package org.tensorflow.framework.activations
org.tensorflow.framework.constraints - package org.tensorflow.framework.constraints
org.tensorflow.framework.data - package org.tensorflow.framework.data
org.tensorflow.framework.initializers - package org.tensorflow.framework.initializers
org.tensorflow.framework.losses - package org.tensorflow.framework.losses
org.tensorflow.framework.metrics - package org.tensorflow.framework.metrics
org.tensorflow.framework.metrics.exceptions - package org.tensorflow.framework.metrics.exceptions
org.tensorflow.framework.op - package org.tensorflow.framework.op
org.tensorflow.framework.op.linalg - package org.tensorflow.framework.op.linalg
org.tensorflow.framework.op.math - package org.tensorflow.framework.op.math
org.tensorflow.framework.op.nn - package org.tensorflow.framework.op.nn
org.tensorflow.framework.op.sets - package org.tensorflow.framework.op.sets
org.tensorflow.framework.optimizers - package org.tensorflow.framework.optimizers
org.tensorflow.framework.regularizers - package org.tensorflow.framework.regularizers
org.tensorflow.framework.utils - package org.tensorflow.framework.utils
org.tensorflow.generator.op - package org.tensorflow.generator.op
org.tensorflow.generator.op.processor - package org.tensorflow.generator.op.processor
org.tensorflow.internal - package org.tensorflow.internal
org.tensorflow.internal.c_api - package org.tensorflow.internal.c_api
org.tensorflow.internal.c_api.global - package org.tensorflow.internal.c_api.global
org.tensorflow.internal.c_api.presets - package org.tensorflow.internal.c_api.presets
org.tensorflow.op - package org.tensorflow.op
org.tensorflow.op.annotation - package org.tensorflow.op.annotation
org.tensorflow.op.audio - package org.tensorflow.op.audio
org.tensorflow.op.bitwise - package org.tensorflow.op.bitwise
org.tensorflow.op.cluster - package org.tensorflow.op.cluster
org.tensorflow.op.collective - package org.tensorflow.op.collective
org.tensorflow.op.core - package org.tensorflow.op.core
org.tensorflow.op.data - package org.tensorflow.op.data
org.tensorflow.op.data.experimental - package org.tensorflow.op.data.experimental
org.tensorflow.op.debugging - package org.tensorflow.op.debugging
org.tensorflow.op.dtypes - package org.tensorflow.op.dtypes
org.tensorflow.op.image - package org.tensorflow.op.image
org.tensorflow.op.io - package org.tensorflow.op.io
org.tensorflow.op.linalg - package org.tensorflow.op.linalg
org.tensorflow.op.linalg.sparse - package org.tensorflow.op.linalg.sparse
org.tensorflow.op.math - package org.tensorflow.op.math
org.tensorflow.op.math.special - package org.tensorflow.op.math.special
org.tensorflow.op.nn - package org.tensorflow.op.nn
org.tensorflow.op.quantization - package org.tensorflow.op.quantization
org.tensorflow.op.ragged - package org.tensorflow.op.ragged
org.tensorflow.op.random - package org.tensorflow.op.random
org.tensorflow.op.signal - package org.tensorflow.op.signal
org.tensorflow.op.sparse - package org.tensorflow.op.sparse
org.tensorflow.op.strings - package org.tensorflow.op.strings
org.tensorflow.op.summary - package org.tensorflow.op.summary
org.tensorflow.op.tpu - package org.tensorflow.op.tpu
org.tensorflow.op.train - package org.tensorflow.op.train
org.tensorflow.op.xla - package org.tensorflow.op.xla
org.tensorflow.proto - package org.tensorflow.proto
org.tensorflow.proto.core - package org.tensorflow.proto.core
org.tensorflow.proto.core.platform - package org.tensorflow.proto.core.platform
org.tensorflow.proto.data - package org.tensorflow.proto.data
org.tensorflow.proto.data.experimental - package org.tensorflow.proto.data.experimental
org.tensorflow.proto.data.model - package org.tensorflow.proto.data.model
org.tensorflow.proto.distributed_runtime - package org.tensorflow.proto.distributed_runtime
org.tensorflow.proto.eager - package org.tensorflow.proto.eager
org.tensorflow.proto.error - package org.tensorflow.proto.error
org.tensorflow.proto.profiler - package org.tensorflow.proto.profiler
org.tensorflow.proto.profiler.empty - package org.tensorflow.proto.profiler.empty
org.tensorflow.types - package org.tensorflow.types: Defines classes that represent TensorFlow tensor types.
org.tensorflow.types.annotation - package org.tensorflow.types.annotation
org.tensorflow.types.family - package org.tensorflow.types.family: Interfaces used to group tensor types in families that define a particular domain of data.
ORIGINAL_FUNC_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
ORIGINAL_GRAPH_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedGraph
ORIGINAL_NODE_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
ORIGINAL_VARIABLE_NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
originalImage - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: 4-D with shape [batch, orig_height, orig_width, channels], The image tensor that was resized.
originalImage - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: 4-D with shape [batch, orig_height, orig_width, channels], The image tensor that was resized.
originalImage - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The originalImage input
originalInput - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The originalInput input
origInput - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: Original input for fractional_max_pool
origInput - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The original input tensor.
origInput - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The original input tensor.
origInput - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The original input tensor.
origInput - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The original input tensor.
origInputShape - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: The original input dimensions.
origInputShape - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: 1-D.
origInputTensorShape - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: Original input tensor shape for fractional_avg_pool
origOutput - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: Original output for fractional_max_pool
origOutput - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The original output tensor.
origOutput - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The original output tensor.
origOutput - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The original output tensor.
origOutput - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The original output tensor.
Orthogonal<T> - Class in org.tensorflow.framework.initializers: Initializer that generates an orthogonal matrix.
Orthogonal(double, long) - Constructor for class org.tensorflow.framework.initializers.Orthogonal: Creates an Orthogonal Initializer
Orthogonal(long) - Constructor for class org.tensorflow.framework.initializers.Orthogonal: Creates an Orthogonal Initializer using Orthogonal.GAIN_DEFAULT for the gain.
otherArguments - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A list of tensors, typically values that were captured when building a closure for f.
otherArguments - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: A list of tensors, typically values that were captured when building a closure for predicate.
otherArguments - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: A list of tensors, typically values that were captured when building a closure for predicate.
otherArguments - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A list of tensors, typically values that were captured when building a closure for f.
otherArguments - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: A list of tensors, typically values that were captured when building a closure for predicate.
otherArguments - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Additional arguments to pass to f beyond those produced by input_dataset.
otherArguments - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: A list of tensors, typically values that were captured when building a closure for predicate.
otherArgumentsLengths - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The otherArgumentsLengths attribute
out() - Method in class org.tensorflow.op.core.HistogramFixedWidth: Gets out.
out() - Method in class org.tensorflow.op.core.SetDiff1d: Gets out. 1-D.
out() - Method in class org.tensorflow.op.dtypes.Complex: Gets out.
out() - Method in class org.tensorflow.op.linalg.QuantizedMatMul: Gets out.
out() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Gets out.
out() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Gets out.
out() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Gets out.
out() - Method in class org.tensorflow.op.math.Cumprod: Gets out.
out() - Method in class org.tensorflow.op.math.Cumsum: Gets out.
out() - Method in class org.tensorflow.op.math.CumulativeLogsumexp: Gets out.
out() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Gets out.
out() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdadelta: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdagrad: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdagradDa: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdagradV2: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdam: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdaMax: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAddSign: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyCenteredRmsProp: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyFtrl: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyGradientDescent: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyMomentum: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyPowerSign: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyProximalAdagrad: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyProximalGradientDescent: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyRmsProp: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyAdadelta: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyAdagrad: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyAdagradDa: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyFtrl: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyMomentum: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyProximalAdagrad: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyRmsProp: Gets out.
OUT_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
OUT_OF_RANGE - Enum constant in enum org.tensorflow.proto.error.Code: Operation tried to iterate past the valid input range.
OUT_OF_RANGE_VALUE - Static variable in enum org.tensorflow.proto.error.Code: Operation tried to iterate past the valid input range.
outBackprop - Variable in class org.tensorflow.op.nn.BiasAddGrad.Inputs: Any number of dimensions.
outBackprop - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: 4-D with shape [batch, out_height, out_width, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: 4-D with shape [batch, out_height, out_width, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: 4-D with shape [batch, out_height, out_width, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: 4-D with shape [batch, out_height, out_width, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: Backprop signal of shape [batch, out_depth, out_rows, out_cols, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: Backprop signal of shape [batch, out_depth, out_rows, out_cols, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: 4-D with shape based on data_format.
outBackprop - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: 4-D with shape based on data_format.
outBackprop - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 4-D with shape [batch, out_height, out_width, depth].
outBackprop - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 4-D with shape [batch, out_height, out_width, depth].
outBackprop - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: 4-D with shape [batch, height, width, channels].
outBackprop - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: 4-D with shape [batch, height, width, channels].
outDeltaDenseWeights() - Method in class org.tensorflow.op.train.SdcaOptimizer: Gets outDeltaDenseWeights. a list of vectors where the values are the delta weights associated with a dense feature group.
outDeltaSparseWeights() - Method in class org.tensorflow.op.train.SdcaOptimizer: Gets outDeltaSparseWeights. a list of vectors where each value is the delta weights associated with a sparse feature group.
OUTER_CONTEXT_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedGraph
outExampleStateData() - Method in class org.tensorflow.op.train.SdcaOptimizer: Gets outExampleStateData. a list of vectors containing the updated example state data.
outfeedDequeue(Class, Shape, OutfeedDequeue.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieves a single tensor from the computation outfeed.
OutfeedDequeue<T> - Class in org.tensorflow.op.tpu: Retrieves a single tensor from the computation outfeed.
OutfeedDequeue(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeue
OutfeedDequeue.Inputs - Class in org.tensorflow.op.tpu
OutfeedDequeue.Options - Class in org.tensorflow.op.tpu: Optional attributes for OutfeedDequeue
outfeedDequeueTuple(List, List, OutfeedDequeueTuple.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve multiple values from the computation outfeed.
OutfeedDequeueTuple - Class in org.tensorflow.op.tpu: Retrieve multiple values from the computation outfeed.
OutfeedDequeueTuple(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueTuple
OutfeedDequeueTuple.Inputs - Class in org.tensorflow.op.tpu
OutfeedDequeueTuple.Options - Class in org.tensorflow.op.tpu: Optional attributes for OutfeedDequeueTuple
outfeedDequeueTupleV2(Operand, List, List) - Method in class org.tensorflow.op.TpuOps: Retrieve multiple values from the computation outfeed.
OutfeedDequeueTupleV2 - Class in org.tensorflow.op.tpu: Retrieve multiple values from the computation outfeed.
OutfeedDequeueTupleV2(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueTupleV2
OutfeedDequeueTupleV2.Inputs - Class in org.tensorflow.op.tpu
outfeedDequeueV2(Operand, Class, Shape) - Method in class org.tensorflow.op.TpuOps: Retrieves a single tensor from the computation outfeed.
OutfeedDequeueV2<T> - Class in org.tensorflow.op.tpu: Retrieves a single tensor from the computation outfeed.
OutfeedDequeueV2(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueV2
OutfeedDequeueV2.Inputs - Class in org.tensorflow.op.tpu
outfeedEnqueue(Operand) - Method in class org.tensorflow.op.TpuOps: Enqueue a Tensor on the computation outfeed.
OutfeedEnqueue - Class in org.tensorflow.op.tpu: Enqueue a Tensor on the computation outfeed.
OutfeedEnqueue(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedEnqueue
OutfeedEnqueue.Inputs - Class in org.tensorflow.op.tpu
outfeedEnqueueTuple(Iterable) - Method in class org.tensorflow.op.TpuOps: Enqueue multiple Tensor values on the computation outfeed.
OutfeedEnqueueTuple - Class in org.tensorflow.op.tpu: Enqueue multiple Tensor values on the computation outfeed.
OutfeedEnqueueTuple(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedEnqueueTuple
OutfeedEnqueueTuple.Inputs - Class in org.tensorflow.op.tpu
outIdx - Variable in class org.tensorflow.op.core.SetDiff1d.Inputs: The outIdx attribute
outIdx - Variable in class org.tensorflow.op.core.Unique.Inputs: The outIdx attribute
outIdx - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: The outIdx attribute
outMax() - Method in class org.tensorflow.op.image.QuantizedResizeBilinear: Gets outMax.
outMin() - Method in class org.tensorflow.op.image.QuantizedResizeBilinear: Gets outMin.
output - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The output input
output() - Method in class org.tensorflow.op.audio.Mfcc: Gets output.
output() - Method in class org.tensorflow.op.collective.CollectivePermute: Gets output.
output() - Method in class org.tensorflow.op.core.All: Gets output.
output() - Method in class org.tensorflow.op.core.Any: Gets output.
output() - Method in class org.tensorflow.op.core.BarrierIncompleteSize: Gets output.
output() - Method in class org.tensorflow.op.core.BarrierReadySize: Gets output.
output() - Method in class org.tensorflow.op.core.BatchToSpace: Gets output. 4-D with shape [batch, height, width, depth], where:
output() - Method in class org.tensorflow.op.core.BatchToSpaceNd: Gets output.
output() - Method in class org.tensorflow.op.core.Bitcast: Gets output.
output() - Method in class org.tensorflow.op.core.BroadcastTo: Gets output.
output() - Method in class org.tensorflow.op.core.Bucketize: Gets output.
output() - Method in interface org.tensorflow.op.core.Case: Gets output.
output() - Method in class org.tensorflow.op.core.CheckPinned: Gets output.
output() - Method in class org.tensorflow.op.core.ClipByValue: Gets output.
output() - Method in class org.tensorflow.op.core.Concat: Gets output.
output() - Method in class org.tensorflow.op.core.Copy: Gets output.
output() - Method in class org.tensorflow.op.core.CopyHost: Gets output.
output() - Method in class org.tensorflow.op.core.CopyToMesh: Gets output.
output() - Method in class org.tensorflow.op.core.CopyToMeshGrad: Gets output.
output() - Method in class org.tensorflow.op.core.CountUpTo: Gets output.
output() - Method in class org.tensorflow.op.core.EditDistance: Gets output.
output() - Method in class org.tensorflow.op.core.Empty: Gets output.
output() - Method in class org.tensorflow.op.core.EnsureShape: Gets output.
output() - Method in class org.tensorflow.op.core.Enter: Gets output.
output() - Method in class org.tensorflow.op.core.Exit: Gets output.
output() - Method in class org.tensorflow.op.core.ExpandDims: Gets output.
output() - Method in class org.tensorflow.op.core.FakeParam: Gets output.
output() - Method in class org.tensorflow.op.core.Fill: Gets output.
output() - Method in class org.tensorflow.op.core.For: Gets output.
output() - Method in class org.tensorflow.op.core.Gather: Gets output.
output() - Method in class org.tensorflow.op.core.GatherNd: Gets output.
output() - Method in class org.tensorflow.op.core.GuaranteeConst: Gets output.
output() - Method in class org.tensorflow.op.core.HostConst: Gets output.
output() - Method in class org.tensorflow.op.core.Identity: Gets output.
output() - Method in class org.tensorflow.op.core.IdentityN: Gets output.
output() - Method in interface org.tensorflow.op.core.If: Gets output.
output() - Method in class org.tensorflow.op.core.KthOrderStatistic: Gets output.
output() - Method in class org.tensorflow.op.core.LinSpace: Gets output. 1-D.
output() - Method in class org.tensorflow.op.core.LookupTableSize: Gets output.
output() - Method in class org.tensorflow.op.core.LoopCond: Gets output.
output() - Method in class org.tensorflow.op.core.LowerBound: Gets output.
output() - Method in class org.tensorflow.op.core.MakeUnique: Gets output.
output() - Method in class org.tensorflow.op.core.MapDefun: Gets output.
output() - Method in class org.tensorflow.op.core.MapIncompleteSize: Gets output.
output() - Method in class org.tensorflow.op.core.MapSize: Gets output.
output() - Method in class org.tensorflow.op.core.Max: Gets output.
output() - Method in class org.tensorflow.op.core.Merge: Gets output.
output() - Method in class org.tensorflow.op.core.Min: Gets output.
output() - Method in class org.tensorflow.op.core.MirrorPad: Gets output.
output() - Method in class org.tensorflow.op.core.MirrorPadGrad: Gets output.
output() - Method in class org.tensorflow.op.core.NcclBroadcast: Deprecated.

Gets output.
output() - Method in class org.tensorflow.op.core.NextIteration: Gets output.
output() - Method in class org.tensorflow.op.core.OneHot: Gets output.
output() - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Gets output.
output() - Method in class org.tensorflow.op.core.OrderedMapSize: Gets output.
output() - Method in class org.tensorflow.op.core.Pad: Gets output.
output() - Method in class org.tensorflow.op.core.ParallelConcat: Gets output.
output() - Method in class org.tensorflow.op.core.PartitionedCall: Gets output.
output() - Method in class org.tensorflow.op.core.Placeholder: Gets output.
output() - Method in class org.tensorflow.op.core.PlaceholderWithDefault: Gets output.
output() - Method in class org.tensorflow.op.core.Prod: Gets output.
output() - Method in class org.tensorflow.op.core.QuantizedReshape: Gets output.
output() - Method in class org.tensorflow.op.core.RandomIndexShuffle: Gets output.
output() - Method in class org.tensorflow.op.core.Range: Gets output. 1-D.
output() - Method in class org.tensorflow.op.core.Rank: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceAll: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceAny: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceMax: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceMin: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceProd: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceSum: Gets output.
output() - Method in class org.tensorflow.op.core.RefEnter: Gets output.
output() - Method in class org.tensorflow.op.core.RefExit: Gets output.
output() - Method in class org.tensorflow.op.core.RefIdentity: Gets output.
output() - Method in class org.tensorflow.op.core.RefMerge: Gets output.
output() - Method in class org.tensorflow.op.core.RefNextIteration: Gets output.
output() - Method in class org.tensorflow.op.core.RefSelect: Gets output.
output() - Method in class org.tensorflow.op.core.Relayout: Gets output.
output() - Method in class org.tensorflow.op.core.RelayoutLike: Gets output.
output() - Method in class org.tensorflow.op.core.RemoteCall: Gets output.
output() - Method in class org.tensorflow.op.core.Reshape: Gets output.
output() - Method in class org.tensorflow.op.core.ResourceCountUpTo: Gets output.
output() - Method in class org.tensorflow.op.core.ResourceGather: Gets output.
output() - Method in class org.tensorflow.op.core.ResourceGatherNd: Gets output.
output() - Method in class org.tensorflow.op.core.Reverse: Gets output.
output() - Method in class org.tensorflow.op.core.ReverseSequence: Gets output.
output() - Method in class org.tensorflow.op.core.Roll: Gets output.
output() - Method in class org.tensorflow.op.core.ScatterNd: Gets output.
output() - Method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd: Gets output.
output() - Method in class org.tensorflow.op.core.Select: Gets output.
output() - Method in class org.tensorflow.op.core.SetSize: Gets output.
output() - Method in class org.tensorflow.op.core.Shape: Gets output.
output() - Method in class org.tensorflow.op.core.ShapeN: Gets output.
output() - Method in class org.tensorflow.op.core.Size: Gets output.
output() - Method in class org.tensorflow.op.core.Slice: Gets output.
output() - Method in class org.tensorflow.op.core.Snapshot: Gets output.
output() - Method in class org.tensorflow.op.core.SpaceToBatchNd: Gets output.
output() - Method in class org.tensorflow.op.core.Split: Gets output.
output() - Method in class org.tensorflow.op.core.SplitV: Gets output.
output() - Method in class org.tensorflow.op.core.Squeeze: Gets output.
output() - Method in class org.tensorflow.op.core.Stack: Gets output.
output() - Method in class org.tensorflow.op.core.StackPush: Gets output.
output() - Method in class org.tensorflow.op.core.StageSize: Gets output.
output() - Method in class org.tensorflow.op.core.StatefulCase: Gets output.
output() - Method in class org.tensorflow.op.core.StatefulIf: Gets output.
output() - Method in class org.tensorflow.op.core.StatefulPartitionedCall: Gets output.
output() - Method in class org.tensorflow.op.core.StatefulWhile: Gets output.
output() - Method in class org.tensorflow.op.core.StatelessCase: Gets output.
output() - Method in class org.tensorflow.op.core.StatelessIf: Gets output.
output() - Method in class org.tensorflow.op.core.StatelessWhile: Gets output.
output() - Method in class org.tensorflow.op.core.StochasticCastToInt: Gets output.
output() - Method in class org.tensorflow.op.core.StopGradient: Gets output.
output() - Method in class org.tensorflow.op.core.StridedSlice: Gets output.
output() - Method in class org.tensorflow.op.core.StridedSliceGrad: Gets output.
output() - Method in class org.tensorflow.op.core.Sum: Gets output.
output() - Method in class org.tensorflow.op.core.TensorArraySize: Gets output.
output() - Method in class org.tensorflow.op.core.TensorListConcatLists: Gets output.
output() - Method in class org.tensorflow.op.core.TensorMapSize: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdAdd: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdMax: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdMin: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdSub: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdUpdate: Gets output.
output() - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Gets output.
output() - Method in class org.tensorflow.op.core.Tile: Gets output.
output() - Method in class org.tensorflow.op.core.UniformQuantizedClipByValue: Gets output.
output() - Method in class org.tensorflow.op.core.UnravelIndex: Gets output.
output() - Method in class org.tensorflow.op.core.Unstack: Gets output.
output() - Method in class org.tensorflow.op.core.UpperBound: Gets output.
output() - Method in class org.tensorflow.op.core.VariableShape: Gets output.
output() - Method in interface org.tensorflow.op.core.While: Gets output.
output() - Method in class org.tensorflow.op.data.FilterByLastComponentDataset: Gets output.
output() - Method in class org.tensorflow.op.debugging.CheckNumerics: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugGradientIdentity: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugGradientRefIdentity: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugIdentity: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugNanCount: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugNumericsSummary: Gets output.
output() - Method in class org.tensorflow.op.distribute.NcclBroadcast: Gets output.
output() - Method in class org.tensorflow.op.dtypes.AsString: Gets output.
output() - Method in class org.tensorflow.op.dtypes.ToBool: Gets output.
output() - Method in class org.tensorflow.op.image.AdjustContrast: Gets output.
output() - Method in class org.tensorflow.op.image.AdjustHue: Gets output.
output() - Method in class org.tensorflow.op.image.AdjustSaturation: Gets output.
output() - Method in class org.tensorflow.op.image.CropAndResizeGradBoxes: Gets output.
output() - Method in class org.tensorflow.op.image.CropAndResizeGradImage: Gets output.
output() - Method in class org.tensorflow.op.image.DrawBoundingBoxes: Gets output. 4-D with the same shape as images.
output() - Method in class org.tensorflow.op.image.HsvToRgb: Gets output.
output() - Method in class org.tensorflow.op.image.RandomCrop: Gets output. 3-D of shape [crop_height, crop_width, channels].
output() - Method in class org.tensorflow.op.image.ResizeBicubicGrad: Gets output. 4-D with shape [batch, orig_height, orig_width, channels].
output() - Method in class org.tensorflow.op.image.ResizeBilinearGrad: Gets output. 4-D with shape [batch, orig_height, orig_width, channels].
output() - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad: Gets output. 4-D with shape [batch, orig_height, orig_width, channels].
output() - Method in class org.tensorflow.op.image.RgbToHsv: Gets output.
output() - Method in class org.tensorflow.op.image.ScaleAndTranslateGrad: Gets output.
output() - Method in class org.tensorflow.op.io.DecodeBase64: Gets output.
output() - Method in class org.tensorflow.op.io.DecodeCompressed: Gets output.
output() - Method in class org.tensorflow.op.io.DecodeCsv: Gets output.
output() - Method in class org.tensorflow.op.io.DecodePaddedRaw: Gets output.
output() - Method in class org.tensorflow.op.io.DecodeRaw: Gets output.
output() - Method in class org.tensorflow.op.io.EncodeBase64: Gets output.
output() - Method in class org.tensorflow.op.io.ParseTensor: Gets output.
output() - Method in class org.tensorflow.op.io.QueueSize: Gets output.
output() - Method in class org.tensorflow.op.linalg.BandedTriangularSolve: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchCholesky: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchCholeskyGrad: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixDeterminant: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixInverse: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixSetDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixSolve: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixSolveLs: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: Gets output.
output() - Method in class org.tensorflow.op.linalg.Cholesky: Gets output.
output() - Method in class org.tensorflow.op.linalg.CholeskyGrad: Gets output.
output() - Method in class org.tensorflow.op.linalg.Det: Gets output.
output() - Method in class org.tensorflow.op.linalg.Einsum: Gets output.
output() - Method in class org.tensorflow.op.linalg.EuclideanNorm: Gets output.
output() - Method in class org.tensorflow.op.linalg.Inv: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixDiagV3: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixExponential: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixLogarithm: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixSetDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixSolveLs: Gets output.
output() - Method in class org.tensorflow.op.linalg.Solve: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMul: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose: Gets output.
output() - Method in class org.tensorflow.op.linalg.Sqrtm: Gets output.
output() - Method in class org.tensorflow.op.linalg.TensorDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.TriangularSolve: Gets output.
output() - Method in class org.tensorflow.op.linalg.TridiagonalMatMul: Gets output.
output() - Method in class org.tensorflow.op.linalg.TridiagonalSolve: Gets output.
output() - Method in class org.tensorflow.op.math.Angle: Gets output.
output() - Method in class org.tensorflow.op.math.ArgMax: Gets output.
output() - Method in class org.tensorflow.op.math.ArgMin: Gets output.
output() - Method in class org.tensorflow.op.math.Conj: Gets output.
output() - Method in class org.tensorflow.op.math.DenseBincount: Gets output. 1D Tensor with length equal to size or 2D Tensor with [batch_size, size].
output() - Method in class org.tensorflow.op.math.Imag: Gets output.
output() - Method in class org.tensorflow.op.math.Mean: Gets output.
output() - Method in class org.tensorflow.op.math.NextAfter: Gets output.
output() - Method in class org.tensorflow.op.math.Real: Gets output.
output() - Method in class org.tensorflow.op.math.RequantizePerChannel: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentMax: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentMean: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentMin: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentProd: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentSum: Gets output.
output() - Method in class org.tensorflow.op.math.UniformQuantizedAdd: Gets output.
output() - Method in class org.tensorflow.op.math.UnsortedSegmentMax: Gets output.
output() - Method in class org.tensorflow.op.math.UnsortedSegmentMin: Gets output.
output() - Method in class org.tensorflow.op.math.UnsortedSegmentProd: Gets output.
output() - Method in class org.tensorflow.op.math.UnsortedSegmentSum: Gets output.
output() - Method in class org.tensorflow.op.nn.AvgPool: Gets output.
output() - Method in class org.tensorflow.op.nn.AvgPool3d: Gets output.
output() - Method in class org.tensorflow.op.nn.AvgPool3dGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.AvgPoolGrad: Gets output. 4-D.
output() - Method in class org.tensorflow.op.nn.BiasAdd: Gets output.
output() - Method in class org.tensorflow.op.nn.BiasAddGrad: Gets output. 1-D with size the feature dimension of out_backprop.
output() - Method in class org.tensorflow.op.nn.Conv: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv2d: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Gets output. 4-D with shape [filter_height, filter_width, in_channels, out_channels].
output() - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Gets output. 4-D with shape [filter_height, filter_width, in_channels, out_channels].
output() - Method in class org.tensorflow.op.nn.Conv2dBackpropInput: Gets output. 4-D with shape [batch, in_height, in_width, in_channels].
output() - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Gets output. 4-D with shape [batch, in_height, in_width, in_channels].
output() - Method in class org.tensorflow.op.nn.Conv3d: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv3dBackpropInput: Gets output.
output() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets output.
output() - Method in class org.tensorflow.op.nn.DepthToSpace: Gets output.
output() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Gets output.
output() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Gets output. 4-D with shape [filter_height, filter_width, in_channels, out_channels].
output() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Gets output. 4-D with shape according to data_format.
output() - Method in class org.tensorflow.op.nn.Dilation2d: Gets output. 4-D with shape [batch, out_height, out_width, depth].
output() - Method in class org.tensorflow.op.nn.FractionalAvgPool: Gets output. output tensor after fractional avg pooling.
output() - Method in class org.tensorflow.op.nn.FractionalAvgPoolGrad: Gets output. 4-D.
output() - Method in class org.tensorflow.op.nn.FractionalMaxPool: Gets output. output tensor after fractional max pooling.
output() - Method in class org.tensorflow.op.nn.FractionalMaxPoolGrad: Gets output. 4-D.
output() - Method in class org.tensorflow.op.nn.FusedPadConv2d: Gets output.
output() - Method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d: Gets output.
output() - Method in class org.tensorflow.op.nn.IsotonicRegression: Gets output.
output() - Method in class org.tensorflow.op.nn.L2Loss: Gets output. 0-D.
output() - Method in class org.tensorflow.op.nn.LocalResponseNormalization: Gets output.
output() - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPool: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPool3d: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPool3dGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPool3dGradGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolGradGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedAvgPool: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedBiasAdd: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2d: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedMaxPool: Gets output.
output() - Method in class org.tensorflow.op.nn.SpaceToBatch: Gets output.
output() - Method in class org.tensorflow.op.nn.SpaceToDepth: Gets output.
output() - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Gets output.
output() - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Gets output.
output() - Method in class org.tensorflow.op.quantization.Dequantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.Quantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizedConcat: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: Gets output.
output() - Method in class org.tensorflow.op.quantization.Requantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.UniformDequantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.UniformQuantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.UniformQuantizedDot: Gets output.
output() - Method in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid: Gets output.
output() - Method in class org.tensorflow.op.quantization.UniformRequantize: Gets output.
output() - Method in class org.tensorflow.op.ragged.RaggedBincount: Gets output. 1D Tensor with length equal to size or 2D Tensor with [batch_size, size].
output() - Method in class org.tensorflow.op.random.experimental.StatelessShuffle: Gets output.
output() - Method in class org.tensorflow.op.random.Multinomial: Gets output. 2-D Tensor with shape [batch_size, num_samples].
output() - Method in class org.tensorflow.op.random.NonDeterministicInts: Gets output.
output() - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.random.RandomGamma: Gets output.
output() - Method in class org.tensorflow.op.random.RandomGammaGrad: Gets output.
output() - Method in class org.tensorflow.op.random.RandomPoisson: Gets output.
output() - Method in class org.tensorflow.op.random.RandomShuffle: Gets output.
output() - Method in class org.tensorflow.op.random.RandomStandardNormal: Gets output.
output() - Method in class org.tensorflow.op.random.RandomUniform: Gets output.
output() - Method in class org.tensorflow.op.random.RandomUniformInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulRandomBinomial: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulStandardNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulTruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulUniform: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulUniformFullInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulUniformInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessMultinomial: Gets output. 2-D Tensor with shape [batch_size, num_samples].
output() - Method in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomBinomial: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomGamma: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomNormalV2: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomPoisson: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniform: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformFullInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformIntV2: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformV2: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessTruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessTruncatedNormalV2: Gets output.
output() - Method in class org.tensorflow.op.random.TruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchFft: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchFft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchFft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchIfft: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchIfft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchIfft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.Fft: Gets output.
output() - Method in class org.tensorflow.op.signal.Fft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.Fft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.FftNd: Gets output.
output() - Method in class org.tensorflow.op.signal.Ifft: Gets output.
output() - Method in class org.tensorflow.op.signal.Ifft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.Ifft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.IfftNd: Gets output.
output() - Method in class org.tensorflow.op.signal.Irfft: Gets output.
output() - Method in class org.tensorflow.op.signal.Irfft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.Irfft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.IrfftNd: Gets output.
output() - Method in class org.tensorflow.op.signal.Rfft: Gets output.
output() - Method in class org.tensorflow.op.signal.Rfft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.Rfft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.RfftNd: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseBincount: Gets output. 1D Tensor with length equal to size or 2D Tensor with [batch_size, size].
output() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseAdd: Gets output. 1-D.
output() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseDiv: Gets output. 1-D.
output() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseMul: Gets output. 1-D.
output() - Method in class org.tensorflow.op.sparse.SparseReduceMax: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseReduceSum: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentMean: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtN: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSum: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSumGrad: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSoftmax: Gets output. 1-D.
output() - Method in class org.tensorflow.op.sparse.SparseTensorDenseAdd: Gets output.
output() - Method in class org.tensorflow.op.strings.Join: Gets output.
output() - Method in class org.tensorflow.op.strings.Lower: Gets output.
output() - Method in class org.tensorflow.op.strings.ReduceJoin: Gets output.
output() - Method in class org.tensorflow.op.strings.RegexFullMatch: Gets output.
output() - Method in class org.tensorflow.op.strings.RegexReplace: Gets output.
output() - Method in class org.tensorflow.op.strings.StaticRegexFullMatch: Gets output.
output() - Method in class org.tensorflow.op.strings.StaticRegexReplace: Gets output.
output() - Method in class org.tensorflow.op.strings.StringFormat: Gets output. = The resulting string scalar.
output() - Method in class org.tensorflow.op.strings.StringLength: Gets output.
output() - Method in class org.tensorflow.op.strings.Strip: Gets output.
output() - Method in class org.tensorflow.op.strings.Substr: Gets output.
output() - Method in class org.tensorflow.op.strings.ToHashBucket: Gets output.
output() - Method in class org.tensorflow.op.strings.ToHashBucketFast: Gets output.
output() - Method in class org.tensorflow.op.strings.ToHashBucketStrong: Gets output.
output() - Method in class org.tensorflow.op.strings.ToNumber: Gets output.
output() - Method in class org.tensorflow.op.strings.UnicodeEncode: Gets output.
output() - Method in class org.tensorflow.op.strings.UnicodeScript: Gets output.
output() - Method in class org.tensorflow.op.strings.UnicodeTranscode: Gets output.
output() - Method in class org.tensorflow.op.strings.UnsortedSegmentJoin: Gets output.
output() - Method in class org.tensorflow.op.strings.Upper: Gets output.
output() - Method in class org.tensorflow.op.tpu.AllToAll: Gets output.
output() - Method in class org.tensorflow.op.tpu.CompilationResult: Gets output.
output() - Method in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU: Gets output.
output() - Method in class org.tensorflow.op.tpu.CrossReplicaSum: Gets output.
output() - Method in class org.tensorflow.op.tpu.EmbeddingActivations: Gets output.
output() - Method in class org.tensorflow.op.tpu.InfeedDequeue: Gets output.
output() - Method in class org.tensorflow.op.tpu.MergeDedupData: Gets output.
output() - Method in class org.tensorflow.op.tpu.OutfeedDequeue: Gets output.
output() - Method in class org.tensorflow.op.tpu.OutfeedDequeueV2: Gets output.
output() - Method in class org.tensorflow.op.tpu.PartitionedCall: Gets output.
output() - Method in class org.tensorflow.op.tpu.PartitionedInput: Gets output.
output() - Method in class org.tensorflow.op.tpu.PartitionedOutput: Gets output.
output() - Method in class org.tensorflow.op.tpu.Prelinearize: Gets output.
output() - Method in class org.tensorflow.op.tpu.PrelinearizeTuple: Gets output.
output() - Method in class org.tensorflow.op.tpu.ReplicatedInput: Gets output.
output() - Method in class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.

Gets output.
output() - Method in class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.

Gets output.
output() - Method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Gets output.
output() - Method in class org.tensorflow.op.train.BatchMatMul: Gets output. 3-D or higher with shape [..., r_o, c_o]
output() - Method in class org.tensorflow.op.train.PreventGradient: Gets output. the same input tensor.
output() - Method in class org.tensorflow.op.train.SdcaFprint: Gets output. a (N,2) shaped matrix where N is the number of elements in the input vector.
output() - Method in class org.tensorflow.op.train.SymbolicGradient: Gets output. a list of output tensors of size N;
output() - Method in class org.tensorflow.op.train.TileGrad: Gets output.
output() - Method in class org.tensorflow.op.xla.ConcatND: Gets output.
output() - Method in class org.tensorflow.op.xla.XlaRecvFromHost: Gets output.
output() - Method in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData: Gets output.
output(int) - Method in class org.tensorflow.GraphOperation
output(int) - Method in interface org.tensorflow.Operation: Returns a symbolic handle to one of the tensors produced by this operation.
output(String) - Method in class org.tensorflow.Graph: Returns the output with the provided name, or null if there is no such output.
output(String, Operand) - Method in class org.tensorflow.Signature.Builder: Register a tensor as an output of the function.
Output<T> - Class in org.tensorflow: A symbolic handle to a tensor produced by an Operation.
Output - Static variable in class org.tensorflow.generator.op.Names
OUTPUT_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
OUTPUT_BATCH_DIMENSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
OUTPUT_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeInfo
OUTPUT_FEATURE_DIMENSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
OUTPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto
OUTPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
OUTPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
OUTPUT_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
OUTPUT_NUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.eager.RemoteTensorHandle
OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunOptions
OUTPUT_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeInput
OUTPUT_SIGNATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
OUTPUT_SLOT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugTensorWatch
OUTPUT_SLOT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphExecutionTrace
OUTPUT_SPATIAL_DIMENSIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
OUTPUT_TENSOR_DEVICE_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Execution
OUTPUT_TENSOR_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Execution
OUTPUT_TENSOR_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOpCreation
outputBackprop - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputBackprop input
outputC - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputC input
outputC() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets outputC.
outputCardinality - Variable in class org.tensorflow.op.data.IndexFlatMapDataset.Inputs: The outputCardinality input
outputCBackprop - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputCBackprop input
outputDenseShape() - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Gets outputDenseShape.
outputDenseShape() - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Gets outputDenseShape.
outputDenseShape() - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Gets outputDenseShape.
outputDenseValues() - Method in class org.tensorflow.op.ragged.RaggedGather: Gets outputDenseValues.
outputDenseValues() - Method in class org.tensorflow.op.ragged.RaggedTensorFromVariant: Gets outputDenseValues.
outputDtype - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: Optional.
outputDtype - Variable in class org.tensorflow.op.nn.IsotonicRegression.Inputs: Dtype of output.
outputDtype - Variable in class org.tensorflow.op.random.Multinomial.Inputs: The outputDtype attribute
outputDtype - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: The outputDtype attribute
outputEncoding - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: Unicode encoding of the output strings.
outputEncoding - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: The unicode encoding to use in the output.
outputFalse() - Method in class org.tensorflow.op.core.RefSwitch: Gets outputFalse.
outputFalse() - Method in class org.tensorflow.op.core.SwitchCond: Gets outputFalse.
outputH - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputH input
outputH() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets outputH.
outputHandle() - Method in class org.tensorflow.op.core.TensorListFromTensor: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListPopBack: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListPushBack: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListResize: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListScatter: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListScatterIntoExistingList: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListSetItem: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListSplit: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorMapErase: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorMapInsert: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.data.UnwrapDatasetVariant: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.data.WrapDatasetVariant: Gets outputHandle.
outputHandles() - Method in class org.tensorflow.op.core.TensorListPushBackBatch: Gets outputHandles.
outputHBackprop - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputHBackprop input
outputIdxType - Variable in class org.tensorflow.op.linalg.Lu.Inputs: The outputIdxType attribute
outputImage - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: 4-D with shape [batch, height, width, channels].
outputIndices - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: 2-D.
outputIndices() - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseConcat: Gets outputIndices. 2-D.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseCross: Gets outputIndices. 2-D.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseCrossHashed: Gets outputIndices. 2-D.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseReorder: Gets outputIndices. 2-D.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseReshape: Gets outputIndices. 2-D.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseSlice: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseSparseMaximum: Gets outputIndices. 2-D.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseSparseMinimum: Gets outputIndices. 2-D.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseSplit: Gets outputIndices.
outputList(int, int) - Method in class org.tensorflow.GraphOperation
outputList(int, int) - Method in interface org.tensorflow.Operation: Returns symbolic handles to a list of tensors produced by this operation.
outputListLength(String) - Method in class org.tensorflow.GraphOperation
outputListLength(String) - Method in interface org.tensorflow.Operation: Returns the size of the list of Tensors produced by this operation.
outputMatrix() - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix: Gets outputMatrix.
outputMax() - Method in class org.tensorflow.op.core.QuantizedReshape: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.math.RequantizationRangePerChannel: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.math.RequantizePerChannel: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.Quantize: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.QuantizedConcat: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.RequantizationRange: Gets outputMax. the computed max output.
outputMax() - Method in class org.tensorflow.op.quantization.Requantize: Gets outputMax.
outputMin() - Method in class org.tensorflow.op.core.QuantizedReshape: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.math.RequantizationRangePerChannel: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.math.RequantizePerChannel: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.Quantize: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.QuantizedConcat: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.RequantizationRange: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.Requantize: Gets outputMin.
outputNames() - Method in class org.tensorflow.Signature: Returns the names of the outputs in this signature
outputNestedSplits() - Method in class org.tensorflow.op.ragged.RaggedGather: Gets outputNestedSplits.
outputNestedSplits() - Method in class org.tensorflow.op.ragged.RaggedTensorFromVariant: Gets outputNestedSplits.
outputOrThrow(String) - Method in class org.tensorflow.Graph: Returns the output with the provided name, or throws IllegalArgumentException if there isn't one.
outputQuantizationAxis - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
outputQuantizationAxis - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
outputQuantizationAxis - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
outputQuantizationAxis - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The new quantization axis to use to quantize original data that input represents.
outputQuantizationAxis(Long) - Method in class org.tensorflow.op.math.UniformQuantizedAdd.Options: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Static method in class org.tensorflow.op.math.UniformQuantizedAdd: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformQuantizedDot.Options: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformQuantizedDot: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformRequantize.Options: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformRequantize: Sets the outputQuantizationAxis option.
outputQuantizationMaxVal - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The max value of the quantized data stored in output.
outputQuantizationMaxVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The max value of the quantized data stored in output.
outputQuantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The max value of the quantized data stored in output.
outputQuantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The new quantization max value to quantize original data that input represents.
outputQuantizationMinVal - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The min value of the quantized data stored in output.
outputQuantizationMinVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The min value of the quantized data stored in output.
outputQuantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The min value of the quantized data stored in output.
outputQuantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The new quantization min value to quantize original data that input represents.
outputRangeGiven - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: If True, given_y_min and given_y_min and given_y_max are used as the output range.
outputRangeGiven(Boolean) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the outputRangeGiven option.
outputRangeGiven(Boolean) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the outputRangeGiven option.
outputRef() - Method in class org.tensorflow.op.core.Assign: Gets outputRef. = Same as "ref".
outputRef() - Method in class org.tensorflow.op.core.AssignAdd: Gets outputRef. = Same as "ref".
outputRef() - Method in class org.tensorflow.op.core.AssignSub: Gets outputRef. = Same as "ref".
outputRef() - Method in class org.tensorflow.op.core.ScatterAdd: Gets outputRef. = Same as ref.
outputRef() - Method in class org.tensorflow.op.core.ScatterDiv: Gets outputRef. = Same as ref.
outputRef() - Method in class org.tensorflow.op.core.ScatterMax: Gets outputRef. = Same as ref.
outputRef() - Method in class org.tensorflow.op.core.ScatterMin: Gets outputRef. = Same as ref.
outputRef() - Method in class org.tensorflow.op.core.ScatterMul: Gets outputRef. = Same as ref.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdAdd: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdMax: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdMin: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdSub: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdUpdate: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterSub: Gets outputRef. = Same as ref.
outputRef() - Method in class org.tensorflow.op.core.ScatterUpdate: Gets outputRef. = Same as ref.
outputRef() - Method in class org.tensorflow.op.core.StridedSliceAssign: Gets outputRef.
outputRowSplits() - Method in class org.tensorflow.op.ragged.RaggedCross: Gets outputRowSplits.
outputs - Variable in class org.tensorflow.op.nn.EluGrad.Inputs: The outputs of the corresponding Elu operation.
outputs - Variable in class org.tensorflow.op.nn.SeluGrad.Inputs: The outputs of the corresponding Selu operation.
outputs() - Method in class org.tensorflow.op.core.DynamicPartition: Gets outputs.
outputs() - Method in class org.tensorflow.op.core.MlirPassthroughOp: Gets outputs.
outputs() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Gets outputs.
outputs() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: Gets outputs.
outputs() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.InfeedDequeueTuple: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.OutfeedDequeueTuple: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.ReplicatedOutput: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.

Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.ReadVariableSplitND: Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.SplitND: Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.XlaHostCompute: Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations: Gets outputs.
OUTPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpInfo
OUTPUTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SignatureDef
outputScales - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The float value(s) to use as scale factors when quantizing original data that output represents.
outputScales - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The float value(s) to use as scale factors when quantizing original data that output represents.
outputScales - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The float value(s) to use as scales when quantizing original data that output represents.
outputScales - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The float value(s) to use as new scale(s) to quantize original data that input represents.
outputsClass() - Element in annotation type org.tensorflow.op.annotation.OpInputsMetadata: The main op class.
outputShape - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: 1-D Tensor [new_height, new_width].
outputShape - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: 1-D Tensor [new_height, new_width].
outputShape - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: 1-D.
outputShape() - Method in class org.tensorflow.op.sparse.SparseConcat: Gets outputShape. 1-D.
outputShape() - Method in class org.tensorflow.op.sparse.SparseCross: Gets outputShape. 1-D.
outputShape() - Method in class org.tensorflow.op.sparse.SparseCrossHashed: Gets outputShape. 1-D.
outputShape() - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseReshape: Gets outputShape. 1-D.
outputShape() - Method in class org.tensorflow.op.sparse.SparseSlice: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseSplit: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask: Gets outputShape.
outputShapes - Variable in class org.tensorflow.framework.data.DatasetIterator
outputShapes - Variable in class org.tensorflow.op.core.GetElementAtIndex.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of shapes.
outputShapes - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatefulWhile.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatelessWhile.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AnonymousIterator.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AnonymousMultiDeviceIterator.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AssertCardinalityDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AssertNextDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AssertPrevDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ChooseFastestDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.DatasetToSingleElement.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.LmdbDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.NonSerializableDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.RandomDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.SleepDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.UnbatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.UniqueDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.FilterByLastComponentDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.FinalizeDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.GlobalShuffleDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IndexFlatMapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.Iterator.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IteratorFromStringHandle.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IteratorGetNext.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IteratorGetNextAsOptional.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IteratorGetNextSync.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.LatencyStatsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ListDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ListSnapshotChunksDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.LMDBDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.NonSerializableDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.OneShotIterator.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.OptionalGetValue.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RewriteDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SleepDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SnapshotChunkDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SnapshotNestedDatasetReader.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.TensorDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ThreadPoolDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.UnbatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.UncompressElement.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.UniqueDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.WeightedFlatMapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.WindowOp.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ZipDataset.Inputs: The outputShapes attribute
outputShapes(List) - Method in class org.tensorflow.op.core.Case.Options: Sets the outputShapes option.
outputShapes(List) - Static method in interface org.tensorflow.op.core.Case: Sets the outputShapes option.
outputShapes(List) - Method in class org.tensorflow.op.core.If.Options: Sets the outputShapes option.
outputShapes(List) - Static method in interface org.tensorflow.op.core.If: Sets the outputShapes option.
outputShapes(List) - Method in class org.tensorflow.op.core.While.Options: Sets the outputShapes option.
outputShapes(List) - Static method in interface org.tensorflow.op.core.While: Sets the outputShapes option.
outputShapes(List) - Method in class org.tensorflow.op.data.IteratorFromStringHandle.Options: Sets the outputShapes option.
outputShapes(List) - Static method in class org.tensorflow.op.data.IteratorFromStringHandle: Sets the outputShapes option.
outputShapes(List) - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Options: Sets the outputShapes option.
outputShapes(List) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.core.Case.Options: Sets the outputShapes option.
outputShapes(Shape...) - Static method in interface org.tensorflow.op.core.Case: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.core.If.Options: Sets the outputShapes option.
outputShapes(Shape...) - Static method in interface org.tensorflow.op.core.If: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.core.While.Options: Sets the outputShapes option.
outputShapes(Shape...) - Static method in interface org.tensorflow.op.core.While: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.data.IteratorFromStringHandle.Options: Sets the outputShapes option.
outputShapes(Shape...) - Static method in class org.tensorflow.op.data.IteratorFromStringHandle: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Options: Sets the outputShapes option.
outputShapes(Shape...) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: Sets the outputShapes option.
outputStream - Variable in class org.tensorflow.op.core.Print.Inputs: A string specifying the output stream or logging level to print to.
outputStream(String) - Method in class org.tensorflow.op.core.Print.Options: Sets the outputStream option.
outputStream(String) - Static method in class org.tensorflow.op.core.Print: Sets the outputStream option.
outputTrue() - Method in class org.tensorflow.op.core.RefSwitch: Gets outputTrue.
outputTrue() - Method in class org.tensorflow.op.core.SwitchCond: Gets outputTrue.
outputType - Variable in class org.tensorflow.op.image.ExtractJpegShape.Inputs: (Optional) The output type of the operation (int32 or int64).
outputType - Variable in class org.tensorflow.op.math.ArgMax.Inputs: The outputType attribute
outputType - Variable in class org.tensorflow.op.math.ArgMin.Inputs: The outputType attribute
outputType - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Dtype of the output values tensor.
outputType - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Dtype of the output values tensor.
outputType - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Dtype of the output values tensor.
outputTypes - Variable in class org.tensorflow.framework.data.DatasetIterator
outputTypes - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: List of TF types to use for the respective field in field_names.
outputTypes - Variable in class org.tensorflow.op.core.GetElementAtIndex.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of types.
outputTypes - Variable in class org.tensorflow.op.data.AnonymousIterator.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AnonymousMultiDeviceIterator.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AssertCardinalityDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AssertNextDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AssertPrevDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ChooseFastestDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.DatasetToSingleElement.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.LmdbDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.NonSerializableDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.RandomDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.SleepDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.UnbatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.UniqueDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.FilterByLastComponentDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.FinalizeDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.GlobalShuffleDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IndexFlatMapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.Iterator.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IteratorFromStringHandle.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IteratorGetNext.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IteratorGetNextAsOptional.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IteratorGetNextSync.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.LatencyStatsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ListDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ListSnapshotChunksDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.LMDBDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.NonSerializableDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.OneShotIterator.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.OptionalGetValue.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RewriteDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SleepDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SnapshotChunkDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SnapshotNestedDatasetReader.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ThreadPoolDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.UnbatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.UncompressElement.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.UniqueDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.WeightedFlatMapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.WindowOp.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ZipDataset.Inputs: The outputTypes attribute
outputValueRowids() - Method in class org.tensorflow.op.ragged.RaggedFillEmptyRows: Gets outputValueRowids.
outputValues() - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.ragged.RaggedCross: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.ragged.RaggedFillEmptyRows: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseConcat: Gets outputValues. 1-D.
outputValues() - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseCross: Gets outputValues. 1-D.
outputValues() - Method in class org.tensorflow.op.sparse.SparseCrossHashed: Gets outputValues. 1-D.
outputValues() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Gets outputValues. 1-D. the values of the filled sparse tensor.
outputValues() - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseReorder: Gets outputValues. 1-D.
outputValues() - Method in class org.tensorflow.op.sparse.SparseSlice: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseSparseMaximum: Gets outputValues. 1-D.
outputValues() - Method in class org.tensorflow.op.sparse.SparseSparseMinimum: Gets outputValues. 1-D.
outputValues() - Method in class org.tensorflow.op.sparse.SparseSplit: Gets outputValues.
outputZeroPoints - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The int32 value(s) used as zero points when quantizing original data that output represents.
outputZeroPoints - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The int32 value(s) used as zero points when quantizing original data that output represents.
outputZeroPoints - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The int32 value(s) used as zero_point when quantizing original data that output represents.
outputZeroPoints - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The int32 value(s) to use as new zero_point(s) to quantize original data that input represents.
outRowSplitsType - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The outRowSplitsType attribute
outTensors() - Method in class org.tensorflow.op.core.BatchFunction: Gets outTensors.
outType - Variable in class org.tensorflow.op.core.LowerBound.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.Shape.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.ShapeN.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.Size.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.UpperBound.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.VariableShape.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.io.DecodePaddedRaw.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.io.DecodeRaw.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.io.ParseTensor.Inputs: The type of the serialized tensor.
outType - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: The dtype to use for serialization; the supported types are string (default) and variant.
outType - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: The dtype to use for serialization; the supported types are string (default) and variant.
outType - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The quantized type of output tensor that needs to be converted.
outType - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The quantized type of output tensor that needs to be converted.
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.strings.ToNumber.Inputs: The numeric type to interpret each string in string_tensor as.
OUTTYPE - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: The OUTTYPE attribute
outValuesType - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The outValuesType attribute
overlapping - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
overlapping - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
overlapping - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
overlapping - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the overlapping option.
overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the overlapping option.
overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Options: Sets the overlapping option.
overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPoolGrad: Sets the overlapping option.
overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the overlapping option.
overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the overlapping option.
overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Options: Sets the overlapping option.
overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPoolGrad: Sets the overlapping option.
overlaps - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A 2-D float tensor of shape [num_boxes, num_boxes] representing the n-by-n box overlap values.
overlapThreshold - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A 0-D float tensor representing the threshold for deciding whether boxes overlap too.

P

p() - Method in class org.tensorflow.op.linalg.Lu: Gets p.
pack() - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
pack(TFE_CustomDevice.Pack_TFE_Context_PointerPointer_int_TF_Status_Pointer) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
Pack_TFE_Context_PointerPointer_int_TF_Status_Pointer() - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice.Pack_TFE_Context_PointerPointer_int_TF_Status_Pointer
Pack_TFE_Context_PointerPointer_int_TF_Status_Pointer(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice.Pack_TFE_Context_PointerPointer_int_TF_Status_Pointer: Pointer cast constructor.
pad - Variable in class org.tensorflow.op.io.EncodeBase64.Inputs: Bool whether padding is applied at the ends.
pad(Boolean) - Method in class org.tensorflow.op.io.EncodeBase64.Options: Sets the pad option.
pad(Boolean) - Static method in class org.tensorflow.op.io.EncodeBase64: Sets the pad option.
pad(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Pads a tensor.
Pad<T> - Class in org.tensorflow.op.core: Pads a tensor.
Pad(Operation) - Constructor for class org.tensorflow.op.core.Pad
Pad.Inputs<T> - Class in org.tensorflow.op.core
paddedBatchDataset(Operand, Operand, Iterable, Iterable, Operand, List, PaddedBatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that batches and pads batch_size elements from the input.
PaddedBatchDataset - Class in org.tensorflow.op.data: Creates a dataset that batches and pads batch_size elements from the input.
PaddedBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.PaddedBatchDataset
PaddedBatchDataset.Inputs - Class in org.tensorflow.op.data
PaddedBatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for PaddedBatchDataset
paddedShapes - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: A list of int64 tensors representing the desired padded shapes of the corresponding output components.
padding - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: string from: "SAME", "VALID", or "EXPLICIT", indicating the type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: string from: "SAME", "VALID", or "EXPLICIT", indicating the type of padding algorithm to use.
PADDING_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeInfo
paddingFifoQueue(List, PaddingFifoQueue.Options...) - Method in class org.tensorflow.op.IoOps: A queue that produces elements in first-in first-out order.
PaddingFifoQueue - Class in org.tensorflow.op.io: A queue that produces elements in first-in first-out order.
PaddingFifoQueue(Operation) - Constructor for class org.tensorflow.op.io.PaddingFifoQueue
PaddingFifoQueue.Inputs - Class in org.tensorflow.op.io
PaddingFifoQueue.Options - Class in org.tensorflow.op.io: Optional attributes for PaddingFifoQueue
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The paddingList attribute
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Sets the paddingList option.
paddingList(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Options: Sets the paddingList option.
paddingList(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Sets the paddingList option.
paddingList(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Sets the paddingList option.
paddingList(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Options: Sets the paddingList option.
paddingList(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Sets the paddingList option.
paddingList(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Options: Sets the paddingList option.
paddingList(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Sets the paddingList option.
paddingList(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Options: Sets the paddingList option.
paddingList(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Sets the paddingList option.
paddingList(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Sets the paddingList option.
paddingList(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Options: Sets the paddingList option.
paddingList(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Sets the paddingList option.
paddingList(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Sets the paddingList option.
paddingList(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Options: Sets the paddingList option.
paddingList(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Sets the paddingList option.
paddingList(List) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Sets the paddingList option.
paddingList(List) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Options: Sets the paddingList option.
paddingList(List) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Sets the paddingList option.
paddingList(List) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Sets the paddingList option.
paddingMap - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The paddingMap attribute
paddingMap - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The paddingMap attribute
paddingMap(String...) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the paddingMap option.
paddingMap(String...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the paddingMap option.
paddingMap(String...) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the paddingMap option.
paddingMap(String...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the paddingMap option.
paddingMap(List) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the paddingMap option.
paddingMap(List) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the paddingMap option.
paddingMap(List) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the paddingMap option.
paddingMap(List) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the paddingMap option.
paddings - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: A two-column matrix specifying the padding sizes.
paddings - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: A two-column matrix specifying the padding sizes.
paddings - Variable in class org.tensorflow.op.core.Pad.Inputs: The paddings input
paddings - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: 2-D with shape [M, 2], all values must be >= 0.
paddings - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: A two-column matrix specifying the padding sizes.
paddings - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: A two-column matrix specifying the padding sizes.
paddings - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: 2-D tensor of non-negative integers with shape [2, 2].
paddings - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: Optional list of right paddings per dimension to strip from the final merged tensor.
paddings - Variable in class org.tensorflow.op.xla.ConcatND.Inputs: Optional list of right paddings per dimension to strip from the final merged tensor.
paddings - Variable in class org.tensorflow.op.xla.ReadVariableSplitND.Inputs: Optional list of right paddings per dimension of input tensor to apply before splitting.
paddings - Variable in class org.tensorflow.op.xla.SplitND.Inputs: Optional list of right paddings per dimension of input tensor to apply before splitting.
paddings(Long...) - Method in class org.tensorflow.op.xla.AssignVariableConcatND.Options: Sets the paddings option.
paddings(Long...) - Static method in class org.tensorflow.op.xla.AssignVariableConcatND: Sets the paddings option.
paddings(Long...) - Method in class org.tensorflow.op.xla.ConcatND.Options: Sets the paddings option.
paddings(Long...) - Static method in class org.tensorflow.op.xla.ConcatND: Sets the paddings option.
paddings(Long...) - Method in class org.tensorflow.op.xla.ReadVariableSplitND.Options: Sets the paddings option.
paddings(Long...) - Static method in class org.tensorflow.op.xla.ReadVariableSplitND: Sets the paddings option.
paddings(Long...) - Method in class org.tensorflow.op.xla.SplitND.Options: Sets the paddings option.
paddings(Long...) - Static method in class org.tensorflow.op.xla.SplitND: Sets the paddings option.
paddings(List) - Method in class org.tensorflow.op.xla.AssignVariableConcatND.Options: Sets the paddings option.
paddings(List) - Static method in class org.tensorflow.op.xla.AssignVariableConcatND: Sets the paddings option.
paddings(List) - Method in class org.tensorflow.op.xla.ConcatND.Options: Sets the paddings option.
paddings(List) - Static method in class org.tensorflow.op.xla.ConcatND: Sets the paddings option.
paddings(List) - Method in class org.tensorflow.op.xla.ReadVariableSplitND.Options: Sets the paddings option.
paddings(List) - Static method in class org.tensorflow.op.xla.ReadVariableSplitND: Sets the paddings option.
paddings(List) - Method in class org.tensorflow.op.xla.SplitND.Options: Sets the paddings option.
paddings(List) - Static method in class org.tensorflow.op.xla.SplitND: Sets the paddings option.
paddingValue - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: The number to fill the area outside the specified diagonal band with.
paddingValue - Variable in class org.tensorflow.op.linalg.MatrixDiagPart.Inputs: The value to fill the area outside the specified diagonal band with.
paddingValue - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: The value to fill the area outside the specified diagonal band with.
paddingValue - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: The number to fill the area outside the specified diagonal band with.
paddingValues - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: A list of scalars containing the padding value to use for each of the outputs.
padPerClass - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: If false, the output nmsed boxes, scores and classes are padded/clipped to max_total_size.
padPerClass(Boolean) - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression.Options: Sets the padPerClass option.
padPerClass(Boolean) - Static method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Sets the padPerClass option.
padToMaxOutputSize - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: If true, the output selected_indices is padded to be of length max_output_size.
padToMaxOutputSize(Boolean) - Method in class org.tensorflow.op.image.NonMaxSuppression.Options: Sets the padToMaxOutputSize option.
padToMaxOutputSize(Boolean) - Static method in class org.tensorflow.op.image.NonMaxSuppression: Sets the padToMaxOutputSize option.
padWidth - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The number of padding elements to add to each side of each sequence.
PARALLEL_BATCH - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalParallelBatchCase
PARALLEL_BATCH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
PARALLEL_ITERATIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WhileContextDef
parallelBatchDataset(Operand, Operand, Operand, Operand, List, List, ParallelBatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: The ParallelBatchDataset operation
ParallelBatchDataset - Class in org.tensorflow.op.data: The ParallelBatchDataset operation
ParallelBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.ParallelBatchDataset
ParallelBatchDataset.Inputs - Class in org.tensorflow.op.data
ParallelBatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParallelBatchDataset
parallelConcat(Iterable, Shape) - Method in class org.tensorflow.op.Ops: Concatenates a list of N tensors along the first dimension.
ParallelConcat<T> - Class in org.tensorflow.op.core: Concatenates a list of N tensors along the first dimension.
ParallelConcat(Operation) - Constructor for class org.tensorflow.op.core.ParallelConcat
ParallelConcat.Inputs<T> - Class in org.tensorflow.op.core
parallelCopy - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The parallelCopy attribute
parallelCopy - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The parallelCopy attribute
parallelCopy - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The parallelCopy attribute
parallelCopy(Boolean) - Method in class org.tensorflow.op.data.BatchDataset.Options: Sets the parallelCopy option.
parallelCopy(Boolean) - Static method in class org.tensorflow.op.data.BatchDataset: Sets the parallelCopy option.
parallelCopy(Boolean) - Method in class org.tensorflow.op.data.PaddedBatchDataset.Options: Sets the parallelCopy option.
parallelCopy(Boolean) - Static method in class org.tensorflow.op.data.PaddedBatchDataset: Sets the parallelCopy option.
parallelCopy(Boolean) - Method in class org.tensorflow.op.data.ParallelBatchDataset.Options: Sets the parallelCopy option.
parallelCopy(Boolean) - Static method in class org.tensorflow.op.data.ParallelBatchDataset: Sets the parallelCopy option.
parallelDynamicStitch(Iterable, Iterable) - Method in class org.tensorflow.op.Ops: Interleave the values from the data tensors into a single tensor.
ParallelDynamicStitch<T> - Class in org.tensorflow.op.core: Interleave the values from the data tensors into a single tensor.
ParallelDynamicStitch(Operation) - Constructor for class org.tensorflow.op.core.ParallelDynamicStitch
ParallelDynamicStitch.Inputs<T> - Class in org.tensorflow.op.core
parallelFilterDataset(Operand, Iterable, Operand, ConcreteFunction, List, List, ParallelFilterDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset containing elements of input_dataset matching predicate.
ParallelFilterDataset - Class in org.tensorflow.op.data: Creates a dataset containing elements of input_dataset matching predicate.
ParallelFilterDataset(Operation) - Constructor for class org.tensorflow.op.data.ParallelFilterDataset
ParallelFilterDataset.Inputs - Class in org.tensorflow.op.data
ParallelFilterDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParallelFilterDataset
parallelInterleaveDataset(Operand, Iterable, Operand, Operand, Operand, Operand, Operand, ConcreteFunction, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that applies f to the outputs of input_dataset.
parallelInterleaveDataset(Operand, Iterable, Operand, Operand, Operand, Operand, Operand, ConcreteFunction, List, List, ParallelInterleaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
ParallelInterleaveDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that applies f to the outputs of input_dataset.
ParallelInterleaveDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
ParallelInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ParallelInterleaveDataset
ParallelInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.ParallelInterleaveDataset
ParallelInterleaveDataset.Inputs - Class in org.tensorflow.op.data.experimental
ParallelInterleaveDataset.Inputs - Class in org.tensorflow.op.data
ParallelInterleaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParallelInterleaveDataset
parallelIterations - Variable in class org.tensorflow.op.core.Enter.Inputs: The number of iterations allowed to run in parallel.
parallelIterations - Variable in class org.tensorflow.op.core.RefEnter.Inputs: The number of iterations allowed to run in parallel.
parallelIterations - Variable in class org.tensorflow.op.core.StatefulWhile.Inputs: The parallelIterations attribute
parallelIterations - Variable in class org.tensorflow.op.core.StatelessWhile.Inputs: The parallelIterations attribute
parallelIterations(Long) - Method in class org.tensorflow.op.core.Enter.Options: Sets the parallelIterations option.
parallelIterations(Long) - Static method in class org.tensorflow.op.core.Enter: Sets the parallelIterations option.
parallelIterations(Long) - Method in class org.tensorflow.op.core.RefEnter.Options: Sets the parallelIterations option.
parallelIterations(Long) - Static method in class org.tensorflow.op.core.RefEnter: Sets the parallelIterations option.
parallelIterations(Long) - Method in class org.tensorflow.op.core.While.Options: Sets the parallelIterations option.
parallelIterations(Long) - Static method in interface org.tensorflow.op.core.While: Sets the parallelIterations option.
parallelMapDataset(Operand, Iterable, Operand, ConcreteFunction, List, List, ParallelMapDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
ParallelMapDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
ParallelMapDataset(Operation) - Constructor for class org.tensorflow.op.data.ParallelMapDataset
ParallelMapDataset.Inputs - Class in org.tensorflow.op.data
ParallelMapDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParallelMapDataset
PARAMETER_MAP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parameterizedTruncatedNormal(Operand, Operand, Operand, Operand, Operand, ParameterizedTruncatedNormal.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a normal distribution.
ParameterizedTruncatedNormal - Class in org.tensorflow.op.random: Outputs random values from a normal distribution.
ParameterizedTruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.ParameterizedTruncatedNormal
ParameterizedTruncatedNormal.Inputs - Class in org.tensorflow.op.random
ParameterizedTruncatedNormal.Options - Class in org.tensorflow.op.random: Optional attributes for ParameterizedTruncatedNormal
parameters - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial embedding table parameters to use in embedding lookups.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: Value of parameters used in the Adadelta optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: Value of parameters used in the Adagrad Momentum optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: Value of parameters used in the Adagrad optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: Value of parameters used in the ADAM optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: Value of parameters used in the centered RMSProp optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: Value of parameters used in the frequency estimator optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: Value of parameters used in the FTRL optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: Value of parameters used in the MDL Adagrad Light optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: Value of parameters used in the Momentum optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: Value of parameters used in the proximal Adagrad optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The parameters input
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: Value of parameters used in the RMSProp optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: Value of parameters used in the stochastic gradient descent optimization algorithm.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Gets parameters.
PARAMETERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
params - Variable in class org.tensorflow.op.core.Gather.Inputs: The tensor from which to gather values.
params - Variable in class org.tensorflow.op.core.GatherNd.Inputs: The tensor from which to gather values.
params - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The params input
params - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The params input
params - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The params input
params() - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Gets params.
paramsBackprop() - Method in class org.tensorflow.op.nn.CudnnRNNBackprop: Gets paramsBackprop.
paramsDenseValues - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The flat_values for the params RaggedTensor.
paramsNestedSplits - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The nested_row_splits tensors that define the row-partitioning for the params RaggedTensor input.
paramsSize() - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Gets paramsSize.
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.AllocationDescription
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.AllocationRecord
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ApiDef.Arg
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ApiDef.Attr
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ApiDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ApiDefs
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.AssetFileDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.AttrValue.ListValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.AttrValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.AutoParallelOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.BenchmarkEntries
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.BenchmarkEntry
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.BuildConfiguration
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.BundleEntryProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.BundleHeaderProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.BytesList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CallableOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ClusterDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CodeLocation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CollectionDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CommitId
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CondContextDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ConfigProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ControlFlowContextDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CostGraphDef.Node
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CostGraphDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.CPUInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DebugEvent
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DebuggedDevice
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DebuggedGraph
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DebuggedSourceFile
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DebugMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DebugOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DebugTensorWatch
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DeviceAttributes
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DeviceLocality
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.DeviceStepStats
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.EntryValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Event
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Example
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Execution
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Feature
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.FeatureConfiguration
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.FeatureList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.FeatureLists
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Features
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.FingerprintDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.FloatList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.FullTypeDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.FunctionDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.FunctionDefLibrary
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GPUInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GPUOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GradientDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphDebugInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphExecutionTrace
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphOpCreation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.HistogramProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Int64List
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.InterconnectLink
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.JobDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.JobDeviceFilters
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.KernelDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.KernelList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.LocalLinks
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MachineConfiguration
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryLogStep
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryStats
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MetaGraphDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.MetricEntry
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.NameAttrList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.NamedTensorProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.NodeDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.NodeExecStats
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.NodeOutput
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpDef.ArgDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpDef.AttrDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpDeprecation
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.OptimizerOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.PlatformInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.QueueRunnerDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ReaderBaseState
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.RegisteredGradient
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.RequestedExitCode
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ResourceHandleProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.RewriterConfig
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.RunConfiguration
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.RunMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.RunOptions.Experimental
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.RunOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedModel
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedSlice
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedSliceMeta
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SavedTensorSlices
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SaverDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SequenceExample
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SerializedDType
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ServerDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SessionLog
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SessionMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SignatureDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SourceFile
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SourceMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.StackFrameWithId
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.StatusProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.StepStats
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.DictValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.ListValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.NoneValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.PairValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.StructuredValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.TupleValue
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Summary.Audio
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Summary.Image
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Summary
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.Summary.Value
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SummaryDescription
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SummaryMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TaggedRunMetadata
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TaskDeviceFilters
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TensorConnection
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TensorDescription
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TensorInfo
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TensorProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TensorShapeProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TensorSliceProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TestResults
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.ValuesDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.VariableDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.VariantTensorDataProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.VarLenFeatureProto
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.VerifierConfig
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.VersionDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.WatchdogConfig
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.WhileContextDef
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parseDelimitedFrom(InputStream) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationDescription
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationRecord
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Arg
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Attr
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDefs
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AssetFileDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValue.ListValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AutoParallelOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BenchmarkEntries
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BenchmarkEntry
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BuildConfiguration
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BundleEntryProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BundleHeaderProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BytesList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CallableOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CodeLocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CommitId
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CondContextDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ControlFlowContextDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CPUInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugEvent
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedDevice
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedGraph
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedSourceFile
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugTensorWatch
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceAttributes
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceLocality
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceStepStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.EntryValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Event
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Example
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Execution
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Feature
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureConfiguration
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureLists
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Features
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FingerprintDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FloatList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FullTypeDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDefLibrary
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GradientDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphExecutionTrace
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphOpCreation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.HistogramProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Int64List
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.InterconnectLink
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.JobDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.JobDeviceFilters
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LocalLinks
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MachineConfiguration
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogStep
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetricEntry
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NameAttrList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NamedTensorProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeExecStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeOutput
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef.ArgDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef.AttrDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDeprecation
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizerOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.PlatformInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.QueueRunnerDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ReaderBaseState
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RegisteredGradient
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RequestedExitCode
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandleProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunConfiguration
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions.Experimental
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedModel
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedSlice
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedSliceMeta
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSlices
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaverDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SequenceExample
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SerializedDType
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ServerDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SessionLog
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SessionMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SignatureDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SourceFile
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SourceMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StackFrameWithId
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StatusProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StepStats
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.DictValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.ListValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.NoneValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.PairValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.StructuredValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TupleValue
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Audio
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Image
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Value
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryDescription
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TaggedRunMetadata
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TaskDeviceFilters
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorConnection
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorDescription
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TestResults
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ValuesDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariableDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariantTensorDataProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VarLenFeatureProto
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VerifierConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VersionDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WatchdogConfig
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WhileContextDef
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parseDelimitedFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
parseExample(Operand, Operand, Operand, Operand, Operand, Iterable, Long, List, List, List, List) - Method in class org.tensorflow.op.IoOps: Transforms a vector of tf.Example protos (as strings) into typed tensors.
ParseExample - Class in org.tensorflow.op.io: Transforms a vector of tf.Example protos (as strings) into typed tensors.
ParseExample(Operation) - Constructor for class org.tensorflow.op.io.ParseExample
ParseExample.Inputs - Class in org.tensorflow.op.io
parseExampleDataset(Operand, Operand, Iterable, List, List, List, List, List, List, List, List, ParseExampleDataset.Options...) - Method in class org.tensorflow.op.DataOps: Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
parseExampleDataset(Operand, Operand, Iterable, List, List, List, List, List, List, ParseExampleDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseExampleDataset - Class in org.tensorflow.op.data.experimental: Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseExampleDataset - Class in org.tensorflow.op.data: Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseExampleDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ParseExampleDataset
ParseExampleDataset(Operation) - Constructor for class org.tensorflow.op.data.ParseExampleDataset
ParseExampleDataset.Inputs - Class in org.tensorflow.op.data.experimental
ParseExampleDataset.Inputs - Class in org.tensorflow.op.data
ParseExampleDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for ParseExampleDataset
ParseExampleDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParseExampleDataset
parseFrom(byte[]) - Static method in class org.tensorflow.proto.AllocationDescription
parseFrom(byte[]) - Static method in class org.tensorflow.proto.AllocationRecord
parseFrom(byte[]) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ApiDef.Arg
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ApiDef.Attr
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ApiDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ApiDefs
parseFrom(byte[]) - Static method in class org.tensorflow.proto.AssetFileDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.AttrValue.ListValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.AttrValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.AutoParallelOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.BenchmarkEntries
parseFrom(byte[]) - Static method in class org.tensorflow.proto.BenchmarkEntry
parseFrom(byte[]) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parseFrom(byte[]) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parseFrom(byte[]) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parseFrom(byte[]) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parseFrom(byte[]) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parseFrom(byte[]) - Static method in class org.tensorflow.proto.BuildConfiguration
parseFrom(byte[]) - Static method in class org.tensorflow.proto.BundleEntryProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.BundleHeaderProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.BytesList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CallableOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ClusterDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CodeLocation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CollectionDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CommitId
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CondContextDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ConfigProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ControlFlowContextDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parseFrom(byte[]) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parseFrom(byte[]) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parseFrom(byte[]) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parseFrom(byte[]) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parseFrom(byte[]) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CostGraphDef.Node
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CostGraphDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.CPUInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parseFrom(byte[]) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DebugEvent
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DebuggedDevice
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DebuggedGraph
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DebuggedSourceFile
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DebugMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DebugOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DebugTensorWatch
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DeviceAttributes
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DeviceLocality
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parseFrom(byte[]) - Static method in class org.tensorflow.proto.DeviceStepStats
parseFrom(byte[]) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parseFrom(byte[]) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parseFrom(byte[]) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parseFrom(byte[]) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parseFrom(byte[]) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parseFrom(byte[]) - Static method in class org.tensorflow.proto.EntryValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Event
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Example
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Execution
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Feature
parseFrom(byte[]) - Static method in class org.tensorflow.proto.FeatureConfiguration
parseFrom(byte[]) - Static method in class org.tensorflow.proto.FeatureList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.FeatureLists
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Features
parseFrom(byte[]) - Static method in class org.tensorflow.proto.FingerprintDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.FloatList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.FullTypeDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parseFrom(byte[]) - Static method in class org.tensorflow.proto.FunctionDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.FunctionDefLibrary
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GPUInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GPUOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GradientDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphDebugInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphExecutionTrace
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphOpCreation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphTransferInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.HistogramProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Int64List
parseFrom(byte[]) - Static method in class org.tensorflow.proto.InterconnectLink
parseFrom(byte[]) - Static method in class org.tensorflow.proto.JobDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.JobDeviceFilters
parseFrom(byte[]) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parseFrom(byte[]) - Static method in class org.tensorflow.proto.KernelDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.KernelList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.LocalLinks
parseFrom(byte[]) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MachineConfiguration
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MemoryInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MemoryLogStep
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MemoryStats
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MetaGraphDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.MetricEntry
parseFrom(byte[]) - Static method in class org.tensorflow.proto.NameAttrList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.NamedTensorProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.NodeDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.NodeExecStats
parseFrom(byte[]) - Static method in class org.tensorflow.proto.NodeOutput
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpDef.ArgDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpDef.AttrDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpDeprecation
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parseFrom(byte[]) - Static method in class org.tensorflow.proto.OptimizerOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.PlatformInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parseFrom(byte[]) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.QueueRunnerDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ReaderBaseState
parseFrom(byte[]) - Static method in class org.tensorflow.proto.RegisteredGradient
parseFrom(byte[]) - Static method in class org.tensorflow.proto.RequestedExitCode
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ResourceHandleProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parseFrom(byte[]) - Static method in class org.tensorflow.proto.RewriterConfig
parseFrom(byte[]) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.RunConfiguration
parseFrom(byte[]) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parseFrom(byte[]) - Static method in class org.tensorflow.proto.RunMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.RunOptions.Experimental
parseFrom(byte[]) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.RunOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedModel
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedSlice
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedSliceMeta
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SavedTensorSlices
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SaverDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SequenceExample
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SerializedDType
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ServerDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SessionLog
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SessionMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SignatureDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SourceFile
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SourceMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.StackFrameWithId
parseFrom(byte[]) - Static method in class org.tensorflow.proto.StatusProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.StepStats
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Struct.DictValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Struct.ListValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Struct.NoneValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Struct.PairValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Struct.StructuredValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Struct.TupleValue
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Summary.Audio
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Summary.Image
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Summary
parseFrom(byte[]) - Static method in class org.tensorflow.proto.Summary.Value
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SummaryDescription
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SummaryMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TaggedRunMetadata
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TaskDeviceFilters
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TensorConnection
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TensorDescription
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TensorInfo
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TensorProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TensorShapeProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TensorSliceProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TestResults
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(byte[]) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parseFrom(byte[]) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parseFrom(byte[]) - Static method in class org.tensorflow.proto.ValuesDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.VariableDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.VariantTensorDataProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.VarLenFeatureProto
parseFrom(byte[]) - Static method in class org.tensorflow.proto.VerifierConfig
parseFrom(byte[]) - Static method in class org.tensorflow.proto.VersionDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.WatchdogConfig
parseFrom(byte[]) - Static method in class org.tensorflow.proto.WhileContextDef
parseFrom(byte[]) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parseFrom(byte[]) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationDescription
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationRecord
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Arg
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Attr
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDefs
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AssetFileDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValue.ListValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AutoParallelOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BenchmarkEntries
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BenchmarkEntry
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BuildConfiguration
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BundleEntryProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BundleHeaderProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BytesList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CallableOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CodeLocation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CommitId
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CondContextDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ControlFlowContextDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CPUInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugEvent
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedDevice
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedGraph
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedSourceFile
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugTensorWatch
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceAttributes
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceLocality
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceStepStats
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.EntryValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Event
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Example
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Execution
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Feature
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureConfiguration
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureLists
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Features
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FingerprintDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FloatList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FullTypeDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDefLibrary
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GradientDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphExecutionTrace
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphOpCreation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.HistogramProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Int64List
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.InterconnectLink
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.JobDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.JobDeviceFilters
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LocalLinks
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MachineConfiguration
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogStep
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryStats
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetricEntry
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NameAttrList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NamedTensorProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeExecStats
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeOutput
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef.ArgDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef.AttrDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDeprecation
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizerOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.PlatformInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.QueueRunnerDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ReaderBaseState
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RegisteredGradient
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RequestedExitCode
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandleProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfig
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunConfiguration
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions.Experimental
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedModel
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedSlice
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedSliceMeta
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSlices
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaverDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SequenceExample
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SerializedDType
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ServerDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SessionLog
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SessionMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SignatureDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SourceFile
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SourceMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StackFrameWithId
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StatusProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StepStats
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.DictValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.ListValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.NoneValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.PairValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.StructuredValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TupleValue
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Audio
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Image
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Value
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryDescription
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TaggedRunMetadata
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TaskDeviceFilters
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorConnection
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorDescription
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TestResults
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ValuesDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariableDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariantTensorDataProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VarLenFeatureProto
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VerifierConfig
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VersionDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WatchdogConfig
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WhileContextDef
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parseFrom(byte[], ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
parseFrom(ByteString) - Static method in class org.tensorflow.proto.AllocationDescription
parseFrom(ByteString) - Static method in class org.tensorflow.proto.AllocationRecord
parseFrom(ByteString) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ApiDef.Arg
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ApiDef.Attr
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ApiDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ApiDefs
parseFrom(ByteString) - Static method in class org.tensorflow.proto.AssetFileDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.AttrValue.ListValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.AttrValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.AutoParallelOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.BenchmarkEntries
parseFrom(ByteString) - Static method in class org.tensorflow.proto.BenchmarkEntry
parseFrom(ByteString) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parseFrom(ByteString) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parseFrom(ByteString) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parseFrom(ByteString) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parseFrom(ByteString) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parseFrom(ByteString) - Static method in class org.tensorflow.proto.BuildConfiguration
parseFrom(ByteString) - Static method in class org.tensorflow.proto.BundleEntryProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.BundleHeaderProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.BytesList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CallableOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ClusterDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CodeLocation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CollectionDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CommitId
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CondContextDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ConfigProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ControlFlowContextDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parseFrom(ByteString) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parseFrom(ByteString) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parseFrom(ByteString) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parseFrom(ByteString) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parseFrom(ByteString) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CostGraphDef.Node
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CostGraphDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.CPUInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parseFrom(ByteString) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DebugEvent
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DebuggedDevice
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DebuggedGraph
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DebuggedSourceFile
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DebugMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DebugOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DebugTensorWatch
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DeviceAttributes
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DeviceLocality
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parseFrom(ByteString) - Static method in class org.tensorflow.proto.DeviceStepStats
parseFrom(ByteString) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parseFrom(ByteString) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parseFrom(ByteString) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parseFrom(ByteString) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parseFrom(ByteString) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parseFrom(ByteString) - Static method in class org.tensorflow.proto.EntryValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Event
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Example
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Execution
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Feature
parseFrom(ByteString) - Static method in class org.tensorflow.proto.FeatureConfiguration
parseFrom(ByteString) - Static method in class org.tensorflow.proto.FeatureList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.FeatureLists
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Features
parseFrom(ByteString) - Static method in class org.tensorflow.proto.FingerprintDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.FloatList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.FullTypeDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parseFrom(ByteString) - Static method in class org.tensorflow.proto.FunctionDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.FunctionDefLibrary
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GPUInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GPUOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GradientDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphDebugInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphExecutionTrace
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphOpCreation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphTransferInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.HistogramProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Int64List
parseFrom(ByteString) - Static method in class org.tensorflow.proto.InterconnectLink
parseFrom(ByteString) - Static method in class org.tensorflow.proto.JobDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.JobDeviceFilters
parseFrom(ByteString) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parseFrom(ByteString) - Static method in class org.tensorflow.proto.KernelDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.KernelList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.LocalLinks
parseFrom(ByteString) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MachineConfiguration
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MemoryInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MemoryLogStep
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MemoryStats
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MetaGraphDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.MetricEntry
parseFrom(ByteString) - Static method in class org.tensorflow.proto.NameAttrList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.NamedTensorProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.NodeDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.NodeExecStats
parseFrom(ByteString) - Static method in class org.tensorflow.proto.NodeOutput
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpDef.ArgDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpDef.AttrDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpDeprecation
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parseFrom(ByteString) - Static method in class org.tensorflow.proto.OptimizerOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.PlatformInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parseFrom(ByteString) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.QueueRunnerDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ReaderBaseState
parseFrom(ByteString) - Static method in class org.tensorflow.proto.RegisteredGradient
parseFrom(ByteString) - Static method in class org.tensorflow.proto.RequestedExitCode
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ResourceHandleProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parseFrom(ByteString) - Static method in class org.tensorflow.proto.RewriterConfig
parseFrom(ByteString) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.RunConfiguration
parseFrom(ByteString) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parseFrom(ByteString) - Static method in class org.tensorflow.proto.RunMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.RunOptions.Experimental
parseFrom(ByteString) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.RunOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedModel
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedSlice
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedSliceMeta
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SavedTensorSlices
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SaverDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SequenceExample
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SerializedDType
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ServerDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SessionLog
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SessionMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SignatureDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SourceFile
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SourceMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.StackFrameWithId
parseFrom(ByteString) - Static method in class org.tensorflow.proto.StatusProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.StepStats
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Struct.DictValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Struct.ListValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Struct.NoneValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Struct.PairValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Struct.StructuredValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Struct.TupleValue
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Summary.Audio
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Summary.Image
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Summary
parseFrom(ByteString) - Static method in class org.tensorflow.proto.Summary.Value
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SummaryDescription
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SummaryMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TaggedRunMetadata
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TaskDeviceFilters
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TensorConnection
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TensorDescription
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TensorInfo
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TensorProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TensorShapeProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TensorSliceProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TestResults
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(ByteString) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parseFrom(ByteString) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parseFrom(ByteString) - Static method in class org.tensorflow.proto.ValuesDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.VariableDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.VariantTensorDataProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.VarLenFeatureProto
parseFrom(ByteString) - Static method in class org.tensorflow.proto.VerifierConfig
parseFrom(ByteString) - Static method in class org.tensorflow.proto.VersionDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.WatchdogConfig
parseFrom(ByteString) - Static method in class org.tensorflow.proto.WhileContextDef
parseFrom(ByteString) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parseFrom(ByteString) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationDescription
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationRecord
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Arg
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Attr
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDefs
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AssetFileDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValue.ListValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AutoParallelOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BenchmarkEntries
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BenchmarkEntry
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BuildConfiguration
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BundleEntryProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BundleHeaderProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BytesList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CallableOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CodeLocation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CommitId
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CondContextDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ControlFlowContextDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CPUInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugEvent
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedDevice
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedGraph
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedSourceFile
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugTensorWatch
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceAttributes
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceLocality
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceStepStats
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.EntryValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Event
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Example
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Execution
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Feature
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureConfiguration
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureLists
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Features
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FingerprintDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FloatList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FullTypeDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDefLibrary
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GradientDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphExecutionTrace
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphOpCreation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.HistogramProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Int64List
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.InterconnectLink
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.JobDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.JobDeviceFilters
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LocalLinks
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MachineConfiguration
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogStep
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryStats
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetricEntry
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NameAttrList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NamedTensorProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeExecStats
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeOutput
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef.ArgDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef.AttrDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDeprecation
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizerOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.PlatformInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.QueueRunnerDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ReaderBaseState
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RegisteredGradient
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RequestedExitCode
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandleProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfig
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunConfiguration
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions.Experimental
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedModel
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedSlice
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedSliceMeta
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSlices
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaverDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SequenceExample
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SerializedDType
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ServerDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SessionLog
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SessionMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SignatureDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SourceFile
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SourceMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StackFrameWithId
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StatusProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StepStats
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.DictValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.ListValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.NoneValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.PairValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.StructuredValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TupleValue
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Audio
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Image
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Value
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryDescription
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TaggedRunMetadata
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TaskDeviceFilters
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorConnection
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorDescription
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TestResults
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ValuesDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariableDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariantTensorDataProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VarLenFeatureProto
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VerifierConfig
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VersionDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WatchdogConfig
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WhileContextDef
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parseFrom(ByteString, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.AllocationDescription
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.AllocationRecord
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ApiDef.Arg
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ApiDef.Attr
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ApiDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ApiDefs
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.AssetFileDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.AttrValue.ListValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.AttrValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.AutoParallelOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.BenchmarkEntries
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.BenchmarkEntry
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.BuildConfiguration
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.BundleEntryProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.BundleHeaderProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.BytesList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CallableOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ClusterDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CodeLocation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CollectionDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CommitId
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CondContextDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ConfigProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ControlFlowContextDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CostGraphDef.Node
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CostGraphDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.CPUInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DebugEvent
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DebuggedDevice
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DebuggedGraph
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DebuggedSourceFile
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DebugMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DebugOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DebugTensorWatch
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DeviceAttributes
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DeviceLocality
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.DeviceStepStats
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.EntryValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Event
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Example
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Execution
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Feature
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.FeatureConfiguration
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.FeatureList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.FeatureLists
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Features
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.FingerprintDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.FloatList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.FullTypeDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.FunctionDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.FunctionDefLibrary
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GPUInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GPUOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GradientDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphDebugInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphExecutionTrace
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphOpCreation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphTransferInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.HistogramProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Int64List
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.InterconnectLink
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.JobDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.JobDeviceFilters
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.KernelDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.KernelList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.LocalLinks
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MachineConfiguration
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MemoryInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MemoryLogStep
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MemoryStats
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MetaGraphDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.MetricEntry
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.NameAttrList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.NamedTensorProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.NodeDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.NodeExecStats
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.NodeOutput
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpDef.ArgDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpDef.AttrDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpDeprecation
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.OptimizerOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.PlatformInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.QueueRunnerDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ReaderBaseState
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.RegisteredGradient
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.RequestedExitCode
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ResourceHandleProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.RewriterConfig
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.RunConfiguration
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.RunMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.RunOptions.Experimental
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.RunOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedModel
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedSlice
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedSliceMeta
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SavedTensorSlices
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SaverDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SequenceExample
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SerializedDType
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ServerDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SessionLog
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SessionMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SignatureDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SourceFile
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SourceMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.StackFrameWithId
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.StatusProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.StepStats
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Struct.DictValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Struct.ListValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Struct.NoneValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Struct.PairValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Struct.StructuredValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Struct.TupleValue
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Summary.Audio
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Summary.Image
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Summary
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.Summary.Value
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SummaryDescription
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SummaryMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TaggedRunMetadata
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TaskDeviceFilters
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TensorConnection
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TensorDescription
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TensorInfo
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TensorProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TensorShapeProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TensorSliceProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TestResults
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.ValuesDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.VariableDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.VariantTensorDataProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.VarLenFeatureProto
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.VerifierConfig
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.VersionDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.WatchdogConfig
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.WhileContextDef
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parseFrom(CodedInputStream) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationDescription
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationRecord
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Arg
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Attr
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDefs
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AssetFileDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValue.ListValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AutoParallelOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BenchmarkEntries
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BenchmarkEntry
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BuildConfiguration
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BundleEntryProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BundleHeaderProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BytesList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CallableOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CodeLocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CommitId
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CondContextDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ControlFlowContextDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CPUInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugEvent
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedDevice
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedGraph
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedSourceFile
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugTensorWatch
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceAttributes
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceLocality
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceStepStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.EntryValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Event
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Example
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Execution
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Feature
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureConfiguration
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureLists
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Features
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FingerprintDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FloatList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FullTypeDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDefLibrary
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GradientDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphExecutionTrace
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphOpCreation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.HistogramProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Int64List
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.InterconnectLink
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.JobDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.JobDeviceFilters
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LocalLinks
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MachineConfiguration
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogStep
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetricEntry
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NameAttrList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NamedTensorProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeExecStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeOutput
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef.ArgDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef.AttrDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDeprecation
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizerOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.PlatformInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.QueueRunnerDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ReaderBaseState
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RegisteredGradient
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RequestedExitCode
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandleProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunConfiguration
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions.Experimental
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedModel
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedSlice
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedSliceMeta
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSlices
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaverDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SequenceExample
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SerializedDType
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ServerDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SessionLog
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SessionMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SignatureDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SourceFile
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SourceMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StackFrameWithId
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StatusProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StepStats
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.DictValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.ListValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.NoneValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.PairValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.StructuredValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TupleValue
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Audio
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Image
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Value
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryDescription
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TaggedRunMetadata
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TaskDeviceFilters
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorConnection
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorDescription
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TestResults
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ValuesDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariableDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariantTensorDataProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VarLenFeatureProto
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VerifierConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VersionDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WatchdogConfig
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WhileContextDef
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parseFrom(CodedInputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
parseFrom(InputStream) - Static method in class org.tensorflow.proto.AllocationDescription
parseFrom(InputStream) - Static method in class org.tensorflow.proto.AllocationRecord
parseFrom(InputStream) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ApiDef.Arg
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ApiDef.Attr
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ApiDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ApiDefs
parseFrom(InputStream) - Static method in class org.tensorflow.proto.AssetFileDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.AttrValue.ListValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.AttrValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.AutoParallelOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.BenchmarkEntries
parseFrom(InputStream) - Static method in class org.tensorflow.proto.BenchmarkEntry
parseFrom(InputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parseFrom(InputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parseFrom(InputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parseFrom(InputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parseFrom(InputStream) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parseFrom(InputStream) - Static method in class org.tensorflow.proto.BuildConfiguration
parseFrom(InputStream) - Static method in class org.tensorflow.proto.BundleEntryProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.BundleHeaderProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.BytesList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CallableOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ClusterDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CodeLocation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CollectionDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CommitId
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CondContextDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ConfigProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ControlFlowContextDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parseFrom(InputStream) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parseFrom(InputStream) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parseFrom(InputStream) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parseFrom(InputStream) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parseFrom(InputStream) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CostGraphDef.Node
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CostGraphDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.CPUInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parseFrom(InputStream) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DebugEvent
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DebuggedDevice
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DebuggedGraph
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DebuggedSourceFile
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DebugMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DebugOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DebugTensorWatch
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DeviceAttributes
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DeviceLocality
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parseFrom(InputStream) - Static method in class org.tensorflow.proto.DeviceStepStats
parseFrom(InputStream) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parseFrom(InputStream) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parseFrom(InputStream) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parseFrom(InputStream) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parseFrom(InputStream) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parseFrom(InputStream) - Static method in class org.tensorflow.proto.EntryValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Event
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Example
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Execution
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Feature
parseFrom(InputStream) - Static method in class org.tensorflow.proto.FeatureConfiguration
parseFrom(InputStream) - Static method in class org.tensorflow.proto.FeatureList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.FeatureLists
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Features
parseFrom(InputStream) - Static method in class org.tensorflow.proto.FingerprintDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.FloatList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.FullTypeDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parseFrom(InputStream) - Static method in class org.tensorflow.proto.FunctionDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.FunctionDefLibrary
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GPUInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GPUOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GradientDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphDebugInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphExecutionTrace
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphOpCreation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.HistogramProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Int64List
parseFrom(InputStream) - Static method in class org.tensorflow.proto.InterconnectLink
parseFrom(InputStream) - Static method in class org.tensorflow.proto.JobDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.JobDeviceFilters
parseFrom(InputStream) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parseFrom(InputStream) - Static method in class org.tensorflow.proto.KernelDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.KernelList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.LocalLinks
parseFrom(InputStream) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MachineConfiguration
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryLogStep
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MemoryStats
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MetaGraphDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.MetricEntry
parseFrom(InputStream) - Static method in class org.tensorflow.proto.NameAttrList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.NamedTensorProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.NodeDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.NodeExecStats
parseFrom(InputStream) - Static method in class org.tensorflow.proto.NodeOutput
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpDef.ArgDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpDef.AttrDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpDeprecation
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parseFrom(InputStream) - Static method in class org.tensorflow.proto.OptimizerOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.PlatformInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parseFrom(InputStream) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.QueueRunnerDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ReaderBaseState
parseFrom(InputStream) - Static method in class org.tensorflow.proto.RegisteredGradient
parseFrom(InputStream) - Static method in class org.tensorflow.proto.RequestedExitCode
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ResourceHandleProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parseFrom(InputStream) - Static method in class org.tensorflow.proto.RewriterConfig
parseFrom(InputStream) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.RunConfiguration
parseFrom(InputStream) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parseFrom(InputStream) - Static method in class org.tensorflow.proto.RunMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.RunOptions.Experimental
parseFrom(InputStream) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.RunOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedModel
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedSlice
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedSliceMeta
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SavedTensorSlices
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SaverDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SequenceExample
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SerializedDType
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ServerDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SessionLog
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SessionMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SignatureDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SourceFile
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SourceMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.StackFrameWithId
parseFrom(InputStream) - Static method in class org.tensorflow.proto.StatusProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.StepStats
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.DictValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.ListValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.NoneValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.PairValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.StructuredValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.TupleValue
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Summary.Audio
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Summary.Image
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Summary
parseFrom(InputStream) - Static method in class org.tensorflow.proto.Summary.Value
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SummaryDescription
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SummaryMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TaggedRunMetadata
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TaskDeviceFilters
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TensorConnection
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TensorDescription
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TensorInfo
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TensorProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TensorShapeProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TensorSliceProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TestResults
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(InputStream) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parseFrom(InputStream) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parseFrom(InputStream) - Static method in class org.tensorflow.proto.ValuesDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.VariableDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.VariantTensorDataProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.VarLenFeatureProto
parseFrom(InputStream) - Static method in class org.tensorflow.proto.VerifierConfig
parseFrom(InputStream) - Static method in class org.tensorflow.proto.VersionDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.WatchdogConfig
parseFrom(InputStream) - Static method in class org.tensorflow.proto.WhileContextDef
parseFrom(InputStream) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parseFrom(InputStream) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationDescription
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationRecord
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Arg
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Attr
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDefs
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AssetFileDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValue.ListValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AutoParallelOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BenchmarkEntries
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BenchmarkEntry
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BuildConfiguration
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BundleEntryProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BundleHeaderProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BytesList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CallableOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CodeLocation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CommitId
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CondContextDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ControlFlowContextDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CPUInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugEvent
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedDevice
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedGraph
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedSourceFile
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugTensorWatch
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceAttributes
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceLocality
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceStepStats
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.EntryValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Event
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Example
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Execution
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Feature
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureConfiguration
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureLists
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Features
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FingerprintDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FloatList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FullTypeDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDefLibrary
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GradientDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphExecutionTrace
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphOpCreation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.HistogramProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Int64List
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.InterconnectLink
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.JobDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.JobDeviceFilters
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LocalLinks
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MachineConfiguration
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogStep
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryStats
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetricEntry
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NameAttrList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NamedTensorProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeExecStats
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeOutput
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef.ArgDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef.AttrDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDeprecation
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizerOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.PlatformInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.QueueRunnerDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ReaderBaseState
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RegisteredGradient
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RequestedExitCode
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandleProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfig
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunConfiguration
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions.Experimental
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedModel
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedSlice
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedSliceMeta
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSlices
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaverDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SequenceExample
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SerializedDType
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ServerDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SessionLog
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SessionMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SignatureDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SourceFile
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SourceMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StackFrameWithId
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StatusProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StepStats
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.DictValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.ListValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.NoneValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.PairValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.StructuredValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TupleValue
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Audio
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Image
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Value
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryDescription
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TaggedRunMetadata
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TaskDeviceFilters
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorConnection
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorDescription
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TestResults
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ValuesDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariableDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariantTensorDataProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VarLenFeatureProto
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VerifierConfig
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VersionDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WatchdogConfig
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WhileContextDef
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parseFrom(InputStream, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.AllocationDescription
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.AllocationRecord
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ApiDef.Arg
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ApiDef.Attr
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ApiDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ApiDefs
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.AssetFileDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.AttrValue.ListValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.AttrValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.AutoParallelOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.BenchmarkEntries
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.BenchmarkEntry
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.BuildConfiguration
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.BundleEntryProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.BundleHeaderProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.BytesList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CallableOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ClusterDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CodeLocation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CollectionDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CommitId
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CondContextDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ConfigProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ControlFlowContextDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CostGraphDef.Node
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CostGraphDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.CPUInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DebugEvent
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DebuggedDevice
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DebuggedGraph
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DebuggedSourceFile
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DebugMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DebugOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DebugTensorWatch
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DeviceAttributes
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DeviceLocality
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.DeviceStepStats
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.EntryValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Event
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Example
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Execution
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Feature
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.FeatureConfiguration
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.FeatureList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.FeatureLists
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Features
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.FingerprintDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.FloatList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.FullTypeDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.FunctionDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.FunctionDefLibrary
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GPUInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GPUOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GradientDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphDebugInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphExecutionTrace
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphOpCreation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphTransferInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.HistogramProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Int64List
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.InterconnectLink
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.JobDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.JobDeviceFilters
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.KernelDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.KernelList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.LocalLinks
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MachineConfiguration
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MemoryInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MemoryLogStep
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MemoryStats
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MetaGraphDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.MetricEntry
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.NameAttrList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.NamedTensorProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.NodeDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.NodeExecStats
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.NodeOutput
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpDef.ArgDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpDef.AttrDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpDeprecation
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.OptimizerOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.PlatformInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.QueueRunnerDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ReaderBaseState
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.RegisteredGradient
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.RequestedExitCode
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ResourceHandleProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.RewriterConfig
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.RunConfiguration
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.RunMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.RunOptions.Experimental
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.RunOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedModel
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedSlice
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedSliceMeta
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SavedTensorSlices
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SaverDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SequenceExample
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SerializedDType
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ServerDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SessionLog
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SessionMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SignatureDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SourceFile
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SourceMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.StackFrameWithId
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.StatusProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.StepStats
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Struct.DictValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Struct.ListValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Struct.NoneValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Struct.PairValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Struct.StructuredValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Struct.TupleValue
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Summary.Audio
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Summary.Image
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Summary
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.Summary.Value
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SummaryDescription
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SummaryMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TaggedRunMetadata
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TaskDeviceFilters
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TensorConnection
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TensorDescription
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TensorInfo
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TensorProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TensorShapeProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TensorSliceProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TestResults
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.ValuesDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.VariableDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.VariantTensorDataProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.VarLenFeatureProto
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.VerifierConfig
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.VersionDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.WatchdogConfig
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.WhileContextDef
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parseFrom(ByteBuffer) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationDescription
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationRecord
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Arg
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Attr
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDefs
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AssetFileDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValue.ListValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AutoParallelOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BenchmarkEntries
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BenchmarkEntry
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BuildConfiguration
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BundleEntryProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BundleHeaderProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BytesList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CallableOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CodeLocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CollectionDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CommitId
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CondContextDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ControlFlowContextDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef.Node
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CPUInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugEvent
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedDevice
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedGraph
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedSourceFile
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugTensorWatch
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceAttributes
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceLocality
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceStepStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.EntryValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Event
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Example
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Execution
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Feature
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureConfiguration
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureLists
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Features
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FingerprintDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FloatList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FullTypeDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionDefLibrary
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GPUOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GradientDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphExecutionTrace
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphOpCreation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.HistogramProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Int64List
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.InterconnectLink
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.JobDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.JobDeviceFilters
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LocalLinks
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MachineConfiguration
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogStep
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemoryStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetricEntry
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NameAttrList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NamedTensorProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeExecStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeOutput
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef.ArgDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef.AttrDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDeprecation
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizerOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.PlatformInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.QueueRunnerDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ReaderBaseState
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RegisteredGradient
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RequestedExitCode
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandleProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunConfiguration
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions.Experimental
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RunOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedModel
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedSlice
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedSliceMeta
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSlices
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaverDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SequenceExample
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SerializedDType
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ServerDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SessionLog
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SessionMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SignatureDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SourceFile
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SourceMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StackFrameWithId
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StatusProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StepStats
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.DictValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.ListValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.NoneValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.PairValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.StructuredValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TupleValue
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Audio
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Image
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Summary.Value
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryDescription
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TaggedRunMetadata
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TaskDeviceFilters
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorConnection
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorDescription
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorInfo
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TestResults
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ValuesDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariableDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariantTensorDataProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VarLenFeatureProto
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VerifierConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VersionDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WatchdogConfig
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WhileContextDef
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parseFrom(ByteBuffer, ExtensionRegistryLite) - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
parser() - Static method in class org.tensorflow.proto.AllocationDescription
parser() - Static method in class org.tensorflow.proto.AllocationRecord
parser() - Static method in class org.tensorflow.proto.AllocatorMemoryUsed
parser() - Static method in class org.tensorflow.proto.ApiDef.Arg
parser() - Static method in class org.tensorflow.proto.ApiDef.Attr
parser() - Static method in class org.tensorflow.proto.ApiDef.Endpoint
parser() - Static method in class org.tensorflow.proto.ApiDef
parser() - Static method in class org.tensorflow.proto.ApiDefs
parser() - Static method in class org.tensorflow.proto.AssetFileDef
parser() - Static method in class org.tensorflow.proto.AttrValue.ListValue
parser() - Static method in class org.tensorflow.proto.AttrValue
parser() - Static method in class org.tensorflow.proto.AutoParallelOptions
parser() - Static method in class org.tensorflow.proto.AvailableDeviceInfo
parser() - Static method in class org.tensorflow.proto.BenchmarkEntries
parser() - Static method in class org.tensorflow.proto.BenchmarkEntry
parser() - Static method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
parser() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
parser() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
parser() - Static method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
parser() - Static method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
parser() - Static method in class org.tensorflow.proto.BuildConfiguration
parser() - Static method in class org.tensorflow.proto.BundleEntryProto
parser() - Static method in class org.tensorflow.proto.BundleHeaderProto
parser() - Static method in class org.tensorflow.proto.BytesList
parser() - Static method in class org.tensorflow.proto.CallableOptions
parser() - Static method in class org.tensorflow.proto.ClusterDef
parser() - Static method in class org.tensorflow.proto.ClusterDeviceFilters
parser() - Static method in class org.tensorflow.proto.CodeLocation
parser() - Static method in class org.tensorflow.proto.CollectionDef.AnyList
parser() - Static method in class org.tensorflow.proto.CollectionDef.BytesList
parser() - Static method in class org.tensorflow.proto.CollectionDef.FloatList
parser() - Static method in class org.tensorflow.proto.CollectionDef.Int64List
parser() - Static method in class org.tensorflow.proto.CollectionDef.NodeList
parser() - Static method in class org.tensorflow.proto.CollectionDef
parser() - Static method in class org.tensorflow.proto.CommitId
parser() - Static method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
parser() - Static method in class org.tensorflow.proto.CondContextDef
parser() - Static method in class org.tensorflow.proto.ConfigProto.Experimental
parser() - Static method in class org.tensorflow.proto.ConfigProto
parser() - Static method in class org.tensorflow.proto.ControlFlowContextDef
parser() - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
parser() - Static method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
parser() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
parser() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
parser() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
parser() - Static method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
parser() - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
parser() - Static method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
parser() - Static method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
parser() - Static method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
parser() - Static method in class org.tensorflow.proto.CostGraphDef.Node
parser() - Static method in class org.tensorflow.proto.CostGraphDef
parser() - Static method in class org.tensorflow.proto.CPUInfo
parser() - Static method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
parser() - Static method in class org.tensorflow.proto.data.DataService.DataServiceConfig
parser() - Static method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
parser() - Static method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
parser() - Static method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
parser() - Static method in class org.tensorflow.proto.data.Dataset.CompressedElement
parser() - Static method in class org.tensorflow.proto.data.Dataset.UncompressedElement
parser() - Static method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
parser() - Static method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
parser() - Static method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
parser() - Static method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
parser() - Static method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
parser() - Static method in class org.tensorflow.proto.data.DatasetOptions.Options
parser() - Static method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
parser() - Static method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
parser() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
parser() - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
parser() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
parser() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
parser() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
parser() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
parser() - Static method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
parser() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
parser() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
parser() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
parser() - Static method in class org.tensorflow.proto.data.model.Model.ModelProto
parser() - Static method in class org.tensorflow.proto.DebugEvent
parser() - Static method in class org.tensorflow.proto.DebuggedDevice
parser() - Static method in class org.tensorflow.proto.DebuggedGraph
parser() - Static method in class org.tensorflow.proto.DebuggedSourceFile
parser() - Static method in class org.tensorflow.proto.DebuggedSourceFiles
parser() - Static method in class org.tensorflow.proto.DebugMetadata
parser() - Static method in class org.tensorflow.proto.DebugOptions
parser() - Static method in class org.tensorflow.proto.DebugTensorWatch
parser() - Static method in class org.tensorflow.proto.DeviceAttributes
parser() - Static method in class org.tensorflow.proto.DeviceLocality
parser() - Static method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
parser() - Static method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
parser() - Static method in class org.tensorflow.proto.DeviceStepStats
parser() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
parser() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
parser() - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
parser() - Static method in class org.tensorflow.proto.eager.RemoteTensorHandle
parser() - Static method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
parser() - Static method in class org.tensorflow.proto.EntryValue
parser() - Static method in class org.tensorflow.proto.Event
parser() - Static method in class org.tensorflow.proto.Example
parser() - Static method in class org.tensorflow.proto.ExampleParserConfiguration
parser() - Static method in class org.tensorflow.proto.Execution
parser() - Static method in class org.tensorflow.proto.Feature
parser() - Static method in class org.tensorflow.proto.FeatureConfiguration
parser() - Static method in class org.tensorflow.proto.FeatureList
parser() - Static method in class org.tensorflow.proto.FeatureLists
parser() - Static method in class org.tensorflow.proto.Features
parser() - Static method in class org.tensorflow.proto.FingerprintDef
parser() - Static method in class org.tensorflow.proto.FixedLenFeatureProto
parser() - Static method in class org.tensorflow.proto.FloatList
parser() - Static method in class org.tensorflow.proto.FullTypeDef
parser() - Static method in class org.tensorflow.proto.FunctionDef.ArgAttrs
parser() - Static method in class org.tensorflow.proto.FunctionDef
parser() - Static method in class org.tensorflow.proto.FunctionDefLibrary
parser() - Static method in class org.tensorflow.proto.GPUInfo
parser() - Static method in class org.tensorflow.proto.GPUOptions.Experimental
parser() - Static method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
parser() - Static method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
parser() - Static method in class org.tensorflow.proto.GPUOptions
parser() - Static method in class org.tensorflow.proto.GradientDef
parser() - Static method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
parser() - Static method in class org.tensorflow.proto.GraphDebugInfo
parser() - Static method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
parser() - Static method in class org.tensorflow.proto.GraphDef
parser() - Static method in class org.tensorflow.proto.GraphExecutionTrace
parser() - Static method in class org.tensorflow.proto.GraphOpCreation
parser() - Static method in class org.tensorflow.proto.GraphOptions
parser() - Static method in class org.tensorflow.proto.GraphTransferConstNodeInfo
parser() - Static method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
parser() - Static method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
parser() - Static method in class org.tensorflow.proto.GraphTransferInfo
parser() - Static method in class org.tensorflow.proto.GraphTransferNodeInfo
parser() - Static method in class org.tensorflow.proto.GraphTransferNodeInput
parser() - Static method in class org.tensorflow.proto.GraphTransferNodeInputInfo
parser() - Static method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
parser() - Static method in class org.tensorflow.proto.HistogramProto
parser() - Static method in class org.tensorflow.proto.Int64List
parser() - Static method in class org.tensorflow.proto.InterconnectLink
parser() - Static method in class org.tensorflow.proto.JobDef
parser() - Static method in class org.tensorflow.proto.JobDeviceFilters
parser() - Static method in class org.tensorflow.proto.KernelDef.AttrConstraint
parser() - Static method in class org.tensorflow.proto.KernelDef
parser() - Static method in class org.tensorflow.proto.KernelList
parser() - Static method in class org.tensorflow.proto.LocalLinks
parser() - Static method in class org.tensorflow.proto.LogMessage: Deprecated.
parser() - Static method in class org.tensorflow.proto.MachineConfiguration
parser() - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
parser() - Static method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
parser() - Static method in class org.tensorflow.proto.MemoryInfo
parser() - Static method in class org.tensorflow.proto.MemoryLogRawAllocation
parser() - Static method in class org.tensorflow.proto.MemoryLogRawDeallocation
parser() - Static method in class org.tensorflow.proto.MemoryLogStep
parser() - Static method in class org.tensorflow.proto.MemoryLogTensorAllocation
parser() - Static method in class org.tensorflow.proto.MemoryLogTensorDeallocation
parser() - Static method in class org.tensorflow.proto.MemoryLogTensorOutput
parser() - Static method in class org.tensorflow.proto.MemoryStats
parser() - Static method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
parser() - Static method in class org.tensorflow.proto.MetaGraphDef
parser() - Static method in class org.tensorflow.proto.MetricEntry
parser() - Static method in class org.tensorflow.proto.NameAttrList
parser() - Static method in class org.tensorflow.proto.NamedTensorProto
parser() - Static method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
parser() - Static method in class org.tensorflow.proto.NodeDef
parser() - Static method in class org.tensorflow.proto.NodeExecStats
parser() - Static method in class org.tensorflow.proto.NodeOutput
parser() - Static method in class org.tensorflow.proto.OpDef.ArgDef
parser() - Static method in class org.tensorflow.proto.OpDef.AttrDef
parser() - Static method in class org.tensorflow.proto.OpDef
parser() - Static method in class org.tensorflow.proto.OpDeprecation
parser() - Static method in class org.tensorflow.proto.OpList
parser() - Static method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
parser() - Static method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
parser() - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo
parser() - Static method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
parser() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
parser() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
parser() - Static method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
parser() - Static method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
parser() - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
parser() - Static method in class org.tensorflow.proto.OptimizerOptions
parser() - Static method in class org.tensorflow.proto.PlatformInfo
parser() - Static method in class org.tensorflow.proto.profiler.Xplane.XEvent
parser() - Static method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
parser() - Static method in class org.tensorflow.proto.profiler.Xplane.XLine
parser() - Static method in class org.tensorflow.proto.profiler.Xplane.XPlane
parser() - Static method in class org.tensorflow.proto.profiler.Xplane.XSpace
parser() - Static method in class org.tensorflow.proto.profiler.Xplane.XStat
parser() - Static method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
parser() - Static method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
parser() - Static method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
parser() - Static method in class org.tensorflow.proto.QueueRunnerDef
parser() - Static method in class org.tensorflow.proto.ReaderBaseState
parser() - Static method in class org.tensorflow.proto.RegisteredGradient
parser() - Static method in class org.tensorflow.proto.RequestedExitCode
parser() - Static method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
parser() - Static method in class org.tensorflow.proto.ResourceHandleProto
parser() - Static method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
parser() - Static method in class org.tensorflow.proto.RewriterConfig
parser() - Static method in class org.tensorflow.proto.RpcOptions.RPCOptions
parser() - Static method in class org.tensorflow.proto.RunConfiguration
parser() - Static method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
parser() - Static method in class org.tensorflow.proto.RunMetadata
parser() - Static method in class org.tensorflow.proto.RunOptions.Experimental
parser() - Static method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
parser() - Static method in class org.tensorflow.proto.RunOptions
parser() - Static method in class org.tensorflow.proto.SavedModel
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
parser() - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
parser() - Static method in class org.tensorflow.proto.SavedSlice
parser() - Static method in class org.tensorflow.proto.SavedSliceMeta
parser() - Static method in class org.tensorflow.proto.SavedTensorSliceMeta
parser() - Static method in class org.tensorflow.proto.SavedTensorSlices
parser() - Static method in class org.tensorflow.proto.SaverDef
parser() - Static method in class org.tensorflow.proto.SaveSliceInfoDef
parser() - Static method in class org.tensorflow.proto.ScopedAllocatorOptions
parser() - Static method in class org.tensorflow.proto.SequenceExample
parser() - Static method in class org.tensorflow.proto.SerializedDType
parser() - Static method in class org.tensorflow.proto.ServerDef
parser() - Static method in class org.tensorflow.proto.SessionLog
parser() - Static method in class org.tensorflow.proto.SessionMetadata
parser() - Static method in class org.tensorflow.proto.SignatureDef
parser() - Static method in class org.tensorflow.proto.SourceFile
parser() - Static method in class org.tensorflow.proto.SourceMetadata
parser() - Static method in class org.tensorflow.proto.StackFrameWithId
parser() - Static method in class org.tensorflow.proto.StatusProto
parser() - Static method in class org.tensorflow.proto.StepStats
parser() - Static method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
parser() - Static method in class org.tensorflow.proto.Struct.DictValue
parser() - Static method in class org.tensorflow.proto.Struct.ListValue
parser() - Static method in class org.tensorflow.proto.Struct.NamedTupleValue
parser() - Static method in class org.tensorflow.proto.Struct.NoneValue
parser() - Static method in class org.tensorflow.proto.Struct.PairValue
parser() - Static method in class org.tensorflow.proto.Struct.StructuredValue
parser() - Static method in class org.tensorflow.proto.Struct.TensorSpecProto
parser() - Static method in class org.tensorflow.proto.Struct.TupleValue
parser() - Static method in class org.tensorflow.proto.Struct.TypeSpecProto
parser() - Static method in class org.tensorflow.proto.Summary.Audio
parser() - Static method in class org.tensorflow.proto.Summary.Image
parser() - Static method in class org.tensorflow.proto.Summary
parser() - Static method in class org.tensorflow.proto.Summary.Value
parser() - Static method in class org.tensorflow.proto.SummaryDescription
parser() - Static method in class org.tensorflow.proto.SummaryMetadata
parser() - Static method in class org.tensorflow.proto.SummaryMetadata.PluginData
parser() - Static method in class org.tensorflow.proto.TaggedRunMetadata
parser() - Static method in class org.tensorflow.proto.TaskDeviceFilters
parser() - Static method in class org.tensorflow.proto.TensorConnection
parser() - Static method in class org.tensorflow.proto.TensorDescription
parser() - Static method in class org.tensorflow.proto.TensorInfo.CompositeTensor
parser() - Static method in class org.tensorflow.proto.TensorInfo.CooSparse
parser() - Static method in class org.tensorflow.proto.TensorInfo
parser() - Static method in class org.tensorflow.proto.TensorProto
parser() - Static method in class org.tensorflow.proto.TensorShapeProto.Dim
parser() - Static method in class org.tensorflow.proto.TensorShapeProto
parser() - Static method in class org.tensorflow.proto.TensorSliceProto.Extent
parser() - Static method in class org.tensorflow.proto.TensorSliceProto
parser() - Static method in class org.tensorflow.proto.TestResults
parser() - Static method in class org.tensorflow.proto.ThreadPoolOptionProto
parser() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
parser() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
parser() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
parser() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
parser() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
parser() - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
parser() - Static method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
parser() - Static method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
parser() - Static method in class org.tensorflow.proto.ValuesDef
parser() - Static method in class org.tensorflow.proto.VariableDef
parser() - Static method in class org.tensorflow.proto.VariantTensorDataProto
parser() - Static method in class org.tensorflow.proto.VarLenFeatureProto
parser() - Static method in class org.tensorflow.proto.VerifierConfig
parser() - Static method in class org.tensorflow.proto.VersionDef
parser() - Static method in class org.tensorflow.proto.WatchdogConfig
parser() - Static method in class org.tensorflow.proto.WhileContextDef
parser() - Static method in class org.tensorflow.proto.WorkerHeartbeatRequest
parser() - Static method in class org.tensorflow.proto.WorkerHeartbeatResponse
PARSER - Static variable in class org.tensorflow.proto.GraphDebugInfo.FileLineCol: Deprecated.
PARSER - Static variable in class org.tensorflow.proto.GraphDebugInfo: Deprecated.
PARSER - Static variable in class org.tensorflow.proto.GraphDebugInfo.StackTrace: Deprecated.
parseSequenceExample(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Iterable, List, List, List, List, List, List, List, ParseSequenceExample.Options...) - Method in class org.tensorflow.op.IoOps: Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.
ParseSequenceExample - Class in org.tensorflow.op.io: Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.
ParseSequenceExample(Operation) - Constructor for class org.tensorflow.op.io.ParseSequenceExample
ParseSequenceExample.Inputs - Class in org.tensorflow.op.io
ParseSequenceExample.Options - Class in org.tensorflow.op.io: Optional attributes for ParseSequenceExample
parseSingleExample(Operand, Iterable, Long, List, List, List, List) - Method in class org.tensorflow.op.IoOps: Transforms a tf.Example proto (as a string) into typed tensors.
ParseSingleExample - Class in org.tensorflow.op.io: Transforms a tf.Example proto (as a string) into typed tensors.
ParseSingleExample(Operation) - Constructor for class org.tensorflow.op.io.ParseSingleExample
ParseSingleExample.Inputs - Class in org.tensorflow.op.io
parseSingleSequenceExample(Operand, Operand, Iterable, Iterable, Iterable, Iterable, Iterable, Operand, List, List, List, ParseSingleSequenceExample.Options...) - Method in class org.tensorflow.op.IoOps: Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.
ParseSingleSequenceExample - Class in org.tensorflow.op.io: Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.
ParseSingleSequenceExample(Operation) - Constructor for class org.tensorflow.op.io.ParseSingleSequenceExample
ParseSingleSequenceExample.Inputs - Class in org.tensorflow.op.io
ParseSingleSequenceExample.Options - Class in org.tensorflow.op.io: Optional attributes for ParseSingleSequenceExample
parseTensor(Operand, Class) - Method in class org.tensorflow.op.IoOps: Transforms a serialized tensorflow.TensorProto proto into a Tensor.
ParseTensor<T> - Class in org.tensorflow.op.io: Transforms a serialized tensorflow.TensorProto proto into a Tensor.
ParseTensor(Operation) - Constructor for class org.tensorflow.op.io.ParseTensor
ParseTensor.Inputs - Class in org.tensorflow.op.io
partialPivoting - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: Whether to apply partial pivoting.
partialPivoting(Boolean) - Method in class org.tensorflow.op.linalg.TridiagonalSolve.Options: Sets the partialPivoting option.
partialPivoting(Boolean) - Static method in class org.tensorflow.op.linalg.TridiagonalSolve: Sets the partialPivoting option.
PARTITION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunMetadata.FunctionGraphs
PARTITION_GRAPHS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunMetadata
partitionDims - Variable in class org.tensorflow.op.tpu.PartitionedInput.Inputs: A list of integers describing how each dimension is partitioned.
partitionDims - Variable in class org.tensorflow.op.tpu.PartitionedOutput.Inputs: A list of integers describing how each dimension is partitioned.
partitionedCall(Iterable, List, ConcreteFunction, PartitionedCall.Options...) - Method in class org.tensorflow.op.Ops: returns f(inputs), where f's body is placed and partitioned.
partitionedCall(Iterable, Operand, List, ConcreteFunction, PartitionedCall.Options...) - Method in class org.tensorflow.op.TpuOps: Calls a function placed on a specified TPU device.
PartitionedCall - Class in org.tensorflow.op.core: returns f(inputs), where f's body is placed and partitioned.
PartitionedCall - Class in org.tensorflow.op.tpu: Calls a function placed on a specified TPU device.
PartitionedCall(Operation) - Constructor for class org.tensorflow.op.core.PartitionedCall
PartitionedCall(Operation) - Constructor for class org.tensorflow.op.tpu.PartitionedCall
PartitionedCall.Inputs - Class in org.tensorflow.op.core
PartitionedCall.Inputs - Class in org.tensorflow.op.tpu
PartitionedCall.Options - Class in org.tensorflow.op.core: Optional attributes for PartitionedCall
PartitionedCall.Options - Class in org.tensorflow.op.tpu: Optional attributes for PartitionedCall
partitionedInput(Iterable, List, PartitionedInput.Options...) - Method in class org.tensorflow.op.TpuOps: An op that groups a list of partitioned inputs together.
PartitionedInput<T> - Class in org.tensorflow.op.tpu: An op that groups a list of partitioned inputs together.
PartitionedInput(Operation) - Constructor for class org.tensorflow.op.tpu.PartitionedInput
PartitionedInput.Inputs<T> - Class in org.tensorflow.op.tpu
PartitionedInput.Options - Class in org.tensorflow.op.tpu: Optional attributes for PartitionedInput
partitionedOutput(Operand, Long, List) - Method in class org.tensorflow.op.TpuOps: An op that demultiplexes a tensor to be sharded by XLA to a list of partitioned outputs outside the XLA computation.
PartitionedOutput<T> - Class in org.tensorflow.op.tpu: An op that demultiplexes a tensor to be sharded by XLA to a list of partitioned outputs outside the XLA computation.
PartitionedOutput(Operation) - Constructor for class org.tensorflow.op.tpu.PartitionedOutput
PartitionedOutput.Inputs<T> - Class in org.tensorflow.op.tpu
partitions - Variable in class org.tensorflow.op.core.DynamicPartition.Inputs: Any shape.
patches() - Method in class org.tensorflow.op.core.ExtractVolumePatches: Gets patches. 5-D Tensor with shape [batch, out_planes, out_rows, out_cols, ksize_planes * ksize_rows * ksize_cols * depth] containing patches with size ksize_planes x ksize_rows x ksize_cols x depth vectorized in the "depth" dimension.
patches() - Method in class org.tensorflow.op.image.ExtractImagePatches: Gets patches. 4-D Tensor with shape [batch, out_rows, out_cols, ksize_rows * ksize_cols * depth] containing image patches with size ksize_rows x ksize_cols x depth vectorized in the "depth" dimension.
path - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The path input
path - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The path input
path - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The path we should write snapshots to / read snapshots from.
pattern - Variable in class org.tensorflow.op.io.MatchingFiles.Inputs: Shell wildcard pattern(s).
pattern - Variable in class org.tensorflow.op.strings.RegexFullMatch.Inputs: A scalar string tensor containing the regular expression to match the input.
pattern - Variable in class org.tensorflow.op.strings.RegexReplace.Inputs: The regular expression to be matched in the input strings.
pattern - Variable in class org.tensorflow.op.strings.StaticRegexFullMatch.Inputs: The regular expression to match the input.
pattern - Variable in class org.tensorflow.op.strings.StaticRegexReplace.Inputs: The regular expression to match the input.
patterns - Variable in class org.tensorflow.op.data.experimental.MatchingFilesDataset.Inputs: The patterns input
patterns - Variable in class org.tensorflow.op.data.MatchingFilesDataset.Inputs: The patterns input
PAYLOADS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
PEAK_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocatorMemoryUsed
PEAK_BYTES_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
PENDING_CHANGELIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CommitId
PER_PROCESS_GPU_MEMORY_FRACTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions
PER_REPLICA_SPEC - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: PerReplicaSpec from distribute/values.py
PER_REPLICA_SPEC_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: PerReplicaSpec from distribute/values.py
perm - Variable in class org.tensorflow.op.linalg.ConjugateTranspose.Inputs: The perm input
perm - Variable in class org.tensorflow.op.linalg.Transpose.Inputs: The perm input
PERMISSION_DENIED - Enum constant in enum org.tensorflow.proto.error.Code: The caller does not have permission to execute the specified operation.
PERMISSION_DENIED_VALUE - Static variable in enum org.tensorflow.proto.error.Code: The caller does not have permission to execute the specified operation.
permutation - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky.Inputs: A fill-in reducing permutation matrix.
PERSISTENT_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryStats
PERSISTENT_TENSOR_ALLOC_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryStats
perturbSingular - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: The perturbSingular attribute
perturbSingular(Boolean) - Method in class org.tensorflow.op.linalg.TridiagonalSolve.Options: Sets the perturbSingular option.
perturbSingular(Boolean) - Static method in class org.tensorflow.op.linalg.TridiagonalSolve: Sets the perturbSingular option.
PHYSICAL_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AvailableDeviceInfo
PHYSICAL_DEVICE_DESC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceAttributes
PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
PINNED - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.ServiceOptions.OptionalPinnedCase
PINNED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
PIVOT_FOR_BODY_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WhileContextDef
PIVOT_FOR_PRED_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WhileContextDef
PIVOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CondContextDef
PIVOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WhileContextDef
PLACE_PRUNED_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOptions
placeholder - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: A string, at each placeholder in the template a subsequent tensor summary will be inserted.
placeholder(Class, Placeholder.Options...) - Method in class org.tensorflow.op.Ops: A placeholder op for a value that will be fed into the computation.
placeholder(String) - Method in class org.tensorflow.op.strings.StringFormat.Options: Sets the placeholder option.
placeholder(String) - Static method in class org.tensorflow.op.strings.StringFormat: Sets the placeholder option.
Placeholder<T> - Class in org.tensorflow.op.core: A placeholder op for a value that will be fed into the computation.
Placeholder(Operation) - Constructor for class org.tensorflow.op.core.Placeholder
PLACEHOLDER - Enum constant in enum org.tensorflow.proto.AttrValue.ValueCase
PLACEHOLDER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue
Placeholder.Inputs - Class in org.tensorflow.op.core
Placeholder.Options - Class in org.tensorflow.op.core: Optional attributes for Placeholder
placeholderWithDefault(Operand, Shape) - Method in class org.tensorflow.op.Ops: A placeholder op that passes through input when its output is not fed.
PlaceholderWithDefault<T> - Class in org.tensorflow.op.core: A placeholder op that passes through input when its output is not fed.
PlaceholderWithDefault(Operation) - Constructor for class org.tensorflow.op.core.PlaceholderWithDefault
PlaceholderWithDefault.Inputs<T> - Class in org.tensorflow.op.core
PLACEMENT_PERIOD_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
PLANES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XSpace
PLATFORM_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MachineConfiguration
PlatformInfo - Class in org.tensorflow.proto: Protobuf type tensorflow.PlatformInfo
PlatformInfo.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.PlatformInfo
PlatformInfoOrBuilder - Interface in org.tensorflow.proto
PLUGGABLE_DEVICE - Enum constant in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: PLUGGABLE_DEVICE = 4;
PLUGGABLE_DEVICE_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
PLUGGABLE_DEVICE_VALUE - Static variable in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: PLUGGABLE_DEVICE = 4;
PLUGIN_DATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SummaryMetadata
PLUGIN_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SummaryMetadata.PluginData
pointer - Variable in class org.tensorflow.internal.c_api.AbstractTF_Tensor: A reference to prevent deallocation.
points - Variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs: Matrix of shape (n, d).
points - Variable in class org.tensorflow.op.image.NearestNeighbors.Inputs: Matrix of shape (n, d).
poisson(Ops, Operand, Operand) - Static method in class org.tensorflow.framework.losses.Losses: Computes the Poisson loss between labels and predictions.
Poisson - Class in org.tensorflow.framework.losses: Computes the Poisson loss between labels and predictions.
Poisson<T> - Class in org.tensorflow.framework.metrics: A metric that computes the poisson loss metric between labels and predictions.
Poisson() - Constructor for class org.tensorflow.framework.losses.Poisson: Creates a Poisson AbstractLoss using Class.getSimpleName() as the loss name and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
Poisson(long, Class) - Constructor for class org.tensorflow.framework.metrics.Poisson: Creates a Poisson metric using Class.getSimpleName() for the metric name.
Poisson(String) - Constructor for class org.tensorflow.framework.losses.Poisson: Creates a Poisson AbstractLoss using a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
Poisson(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.Poisson: Creates a Poisson metric
Poisson(String, Reduction) - Constructor for class org.tensorflow.framework.losses.Poisson: Creates a Poisson AbstractLoss
Poisson(Reduction) - Constructor for class org.tensorflow.framework.losses.Poisson: Creates a Poisson AbstractLoss using Class.getSimpleName() as the loss name
POLICY_FAIL - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy: POLICY_FAIL = 2;
POLICY_FAIL_VALUE - Static variable in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy: POLICY_FAIL = 2;
POLICY_IGNORE - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy: POLICY_IGNORE = 1;
POLICY_IGNORE_VALUE - Static variable in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy: POLICY_IGNORE = 1;
POLICY_WARN - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy: POLICY_WARN = 0;
POLICY_WARN_VALUE - Static variable in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy: POLICY_WARN = 0;
POLL_FOR_ERROR_FROM_SERVICE_AT_STARTUP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
POLLING_ACTIVE_DELAY_USECS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions
POLLING_INACTIVE_DELAY_MSECS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions
polygamma(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Compute the polygamma function \(\psi^{(n)}(x)\).
Polygamma<T> - Class in org.tensorflow.op.math: Compute the polygamma function \(\psi^{(n)}(x)\).
Polygamma(Operation) - Constructor for class org.tensorflow.op.math.Polygamma
Polygamma.Inputs<T> - Class in org.tensorflow.op.math
poolingRatio - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: Pooling ratio for each dimension of value, currently only supports row and col dimension and should be >= 1.0.
poolingRatio - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: Pooling ratio for each dimension of value, currently only supports row and col dimension and should be >= 1.0.
POPULATE_PJRT_GPU_CLIENT_CREATION_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
populationCount(Operand) - Method in class org.tensorflow.op.MathOps: Computes element-wise population count (a.k.a. popcount, bitsum, bitcount).
PopulationCount - Class in org.tensorflow.op.math: Computes element-wise population count (a.k.a. popcount, bitsum, bitcount).
PopulationCount(Operation) - Constructor for class org.tensorflow.op.math.PopulationCount
PopulationCount.Inputs - Class in org.tensorflow.op.math
PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ServerDef
pos - Variable in class org.tensorflow.op.strings.Substr.Inputs: Scalar defining the position of first character in each substring
position(long) - Method in class org.tensorflow.internal.c_api.TF_AllocatorAttributes
position(long) - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
position(long) - Method in class org.tensorflow.internal.c_api.TF_Buffer
position(long) - Method in class org.tensorflow.internal.c_api.TF_Input
position(long) - Method in class org.tensorflow.internal.c_api.TF_Output
position(long) - Method in class org.tensorflow.internal.c_api.TF_ShapeAndType
position(long) - Method in class org.tensorflow.internal.c_api.TF_ShapeAndTypeList
position(long) - Method in class org.tensorflow.internal.c_api.TF_StringView
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Large
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Raw
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Small
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Union
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString_View
position(long) - Method in class org.tensorflow.internal.c_api.TF_TString
position(long) - Method in class org.tensorflow.internal.c_api.TFE_CancelCallback
position(long) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
position(long) - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle
POST_OPTIMIZATION_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunMetadata.FunctionGraphs
POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
postNmsTopn - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: An integer.
postNmsTopn(Long) - Method in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Options: Sets the postNmsTopn option.
postNmsTopn(Long) - Static method in class org.tensorflow.op.image.GenerateBoundingBoxProposals: Sets the postNmsTopn option.
pow(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the power of one value to another.
Pow<T> - Class in org.tensorflow.op.math: Computes the power of one value to another.
Pow(Operation) - Constructor for class org.tensorflow.op.math.Pow
Pow.Inputs<T> - Class in org.tensorflow.op.math
PR - Enum constant in enum org.tensorflow.framework.metrics.AUCCurve: Precision-Recall-curve
PRE_OPTIMIZATION_GRAPH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunMetadata.FunctionGraphs
PRECEDING_NODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
PRECEDING_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
precision - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: The post-decimal precision to use for floating point numbers.
precision() - Method in class org.tensorflow.op.nn.InTopK: Gets precision.
precision(Long) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the precision option.
precision(Long) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the precision option.
Precision<T> - Class in org.tensorflow.framework.metrics: Computes the precision of the predictions with respect to the labels.
Precision(float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.Precision: Creates a Precision Metric with a name of Class.getSimpleName() and no topK or classId values.
Precision(float[], Integer, Integer, long, Class) - Constructor for class org.tensorflow.framework.metrics.Precision: Creates a Precision Metric with a name of Class.getSimpleName()
Precision(float, long, Class) - Constructor for class org.tensorflow.framework.metrics.Precision: Creates a Precision Metric with a name of Class.getSimpleName() and no topK or classId values.
Precision(float, Integer, Integer, long, Class) - Constructor for class org.tensorflow.framework.metrics.Precision: Creates a Precision Metric with a name of Class.getSimpleName()
Precision(long, Class) - Constructor for class org.tensorflow.framework.metrics.Precision: Creates a Precision Metric with a name of Class.getSimpleName() and no topK or classId values and with a threshold of Precision.DEFAULT_THRESHOLD.
Precision(String, float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.Precision: Creates a Precision Metric with no topK or classId values.
Precision(String, float[], Integer, Integer, long, Class) - Constructor for class org.tensorflow.framework.metrics.Precision: Creates a Precision Metric.
Precision(String, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.Precision: Creates a Precision Metric with no topK or classId values.
Precision(String, float, Integer, Integer, long, Class) - Constructor for class org.tensorflow.framework.metrics.Precision: Creates a Precision Metric.
Precision(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.Precision: Creates a Precision Metric with no topK or classId values with a threshold of Precision.DEFAULT_THRESHOLD.
PrecisionAtRecall<T> - Class in org.tensorflow.framework.metrics: Computes best precision where recall is >= specified value.
PrecisionAtRecall(float, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.PrecisionAtRecall: Creates a PrecisionRecall metric with a name of Class.getSimpleName().
PrecisionAtRecall(float, long, Class) - Constructor for class org.tensorflow.framework.metrics.PrecisionAtRecall: Creates a PrecisionRecall metric with a name of Class.getSimpleName() and SensitivitySpecificityBase.DEFAULT_NUM_THRESHOLDS for the number of thresholds
PrecisionAtRecall(String, float, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.PrecisionAtRecall: Creates a PrecisionRecall metric.
PrecisionAtRecall(String, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.PrecisionAtRecall: Creates a PrecisionRecall metric with SensitivitySpecificityBase.DEFAULT_NUM_THRESHOLDS for the number of thresholds
pred - Variable in class org.tensorflow.op.core.RefSwitch.Inputs: A scalar that specifies which output port will receive data.
pred - Variable in class org.tensorflow.op.core.SwitchCond.Inputs: A scalar that specifies which output port will receive data.
PRED_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CondContextDef
predictions - Variable in class org.tensorflow.op.nn.InTopK.Inputs: A batch_size x classes tensor.
preferredShard - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: Index of file to open first if multiple files match file_pattern.
preferredShard(Long) - Method in class org.tensorflow.op.train.RestoreSlice.Options: Sets the preferredShard option.
preferredShard(Long) - Static method in class org.tensorflow.op.train.RestoreSlice: Sets the preferredShard option.
prefetchDataset(Operand, Operand, List, List, PrefetchDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that asynchronously prefetches elements from input_dataset.
PrefetchDataset - Class in org.tensorflow.op.data: Creates a dataset that asynchronously prefetches elements from input_dataset.
PrefetchDataset(Operation) - Constructor for class org.tensorflow.op.data.PrefetchDataset
PrefetchDataset.Inputs - Class in org.tensorflow.op.data
PrefetchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for PrefetchDataset
prefetchInputElements - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The prefetchInputElements input
prefetchInputElements - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The prefetchInputElements input
prefetchInputElements - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Determines the number of iterators to prefetch, allowing buffers to warm up and data to be pre-fetched without blocking the main thread.
prefix - Variable in class org.tensorflow.op.tpu.DTensorRestore.Inputs: The prefix input
prefix - Variable in class org.tensorflow.op.train.Restore.Inputs: Must have a single element.
prefix - Variable in class org.tensorflow.op.train.Save.Inputs: Must have a single element.
prelinearize(Operand, Prelinearize.Options...) - Method in class org.tensorflow.op.TpuOps: An op which linearizes one Tensor value to an opaque variant tensor.
Prelinearize - Class in org.tensorflow.op.tpu: An op which linearizes one Tensor value to an opaque variant tensor.
Prelinearize(Operation) - Constructor for class org.tensorflow.op.tpu.Prelinearize
Prelinearize.Inputs - Class in org.tensorflow.op.tpu
Prelinearize.Options - Class in org.tensorflow.op.tpu: Optional attributes for Prelinearize
prelinearizeTuple(Iterable, List, PrelinearizeTuple.Options...) - Method in class org.tensorflow.op.TpuOps: An op which linearizes multiple Tensor values to an opaque variant tensor.
PrelinearizeTuple - Class in org.tensorflow.op.tpu: An op which linearizes multiple Tensor values to an opaque variant tensor.
PrelinearizeTuple(Operation) - Constructor for class org.tensorflow.op.tpu.PrelinearizeTuple
PrelinearizeTuple.Inputs - Class in org.tensorflow.op.tpu
PrelinearizeTuple.Options - Class in org.tensorflow.op.tpu: Optional attributes for PrelinearizeTuple
preNmsTopn - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A scalar int tensor for the number of top scoring boxes to be used as input.
prepare(String) - Method in class org.tensorflow.framework.optimizers.AdaGradDA: Returns a No-op prepare.
prepare(String) - Method in class org.tensorflow.framework.optimizers.Adam: Returns a No-op prepare.
prepare(String) - Method in class org.tensorflow.framework.optimizers.Adamax: Returns a No-op prepare.
prepare(String) - Method in class org.tensorflow.framework.optimizers.Nadam: Returns a No-op prepare.
prepare(String) - Method in class org.tensorflow.framework.optimizers.Optimizer: Returns a No-op prepare.
prepend(Shape, int) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the first dimension followed by the dimensions of the shape.
prepend(Shape, long) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the first dimension followed by the dimensions of the shape.
prepend(Scope, Shape, int) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the first dimension followed by the dimensions of the shape.
prepend(Scope, Shape, long) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the first dimension followed by the dimensions of the shape.
prepend(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand that represents a new shape containing the dimensions of an operand representing the shape to prepend, followed by the dimensions of an operand representing a shape.
prepend(Operand, Operand) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand that represents a new shape containing the dimensions of an operand representing the shape to prepend, followed by the dimensions of an operand representing a shape.
preprocessCollapseRepeated - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: Scalar, if true then repeated labels are collapsed prior to the CTC calculation.
preprocessCollapseRepeated - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: Scalar, if true then repeated labels are collapsed prior to the CTC calculation.
preprocessCollapseRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options: Sets the preprocessCollapseRepeated option.
preprocessCollapseRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss: Sets the preprocessCollapseRepeated option.
preprocessCollapseRepeated(Boolean) - Method in class org.tensorflow.op.nn.CTCLossV2.Options: Sets the preprocessCollapseRepeated option.
preprocessCollapseRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CTCLossV2: Sets the preprocessCollapseRepeated option.
preserveCardinality - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: The preserveCardinality attribute
preserveCardinality - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The preserveCardinality attribute
preserveCardinality - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The preserveCardinality attribute
preserveCardinality - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The preserveCardinality attribute
preserveCardinality - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The preserveCardinality attribute
preserveCardinality - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The preserveCardinality attribute
preserveCardinality - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The preserveCardinality attribute
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.experimental.MapAndBatchDataset: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.experimental.MapDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.experimental.MapDataset: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.experimental.ScanDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.experimental.ScanDataset: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.MapAndBatchDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.MapAndBatchDataset: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.MapDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.MapDataset: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.ScanDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.ScanDataset: Sets the preserveCardinality option.
preserveShortSequences - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The preserveShortSequences attribute
preventGradient(Operand, PreventGradient.Options...) - Method in class org.tensorflow.op.TrainOps: An identity op that triggers an error if a gradient is requested.
PreventGradient<T> - Class in org.tensorflow.op.train: An identity op that triggers an error if a gradient is requested.
PreventGradient(Operation) - Constructor for class org.tensorflow.op.train.PreventGradient
PreventGradient.Inputs<T> - Class in org.tensorflow.op.train
PreventGradient.Options - Class in org.tensorflow.op.train: Optional attributes for PreventGradient
print(Operand, Print.Options...) - Method in class org.tensorflow.op.Ops: Prints a string scalar.
Print - Class in org.tensorflow.op.core: Prints a string scalar.
Print(Operation) - Constructor for class org.tensorflow.op.core.Print
Print.Inputs - Class in org.tensorflow.op.core
Print.Options - Class in org.tensorflow.op.core: Optional attributes for Print
PRIORITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
PRIORITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.KernelDef
PRIORITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
priorityQueue(List, List, PriorityQueue.Options...) - Method in class org.tensorflow.op.IoOps: A queue that produces elements sorted by the first component value.
PriorityQueue - Class in org.tensorflow.op.io: A queue that produces elements sorted by the first component value.
PriorityQueue(Operation) - Constructor for class org.tensorflow.op.io.PriorityQueue
PriorityQueue.Inputs - Class in org.tensorflow.op.io
PriorityQueue.Options - Class in org.tensorflow.op.io: Optional attributes for PriorityQueue
PRIVATE_THREADPOOL_SIZE - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalPrivateThreadpoolSizeCase
PRIVATE_THREADPOOL_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
privateThreadPoolDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
privateThreadPoolDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
PrivateThreadPoolDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that uses a custom thread pool to compute input_dataset.
PrivateThreadPoolDataset - Class in org.tensorflow.op.data: Creates a dataset that uses a custom thread pool to compute input_dataset.
PrivateThreadPoolDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset
PrivateThreadPoolDataset(Operation) - Constructor for class org.tensorflow.op.data.PrivateThreadPoolDataset
PrivateThreadPoolDataset.Inputs - Class in org.tensorflow.op.data.experimental
PrivateThreadPoolDataset.Inputs - Class in org.tensorflow.op.data
probs - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The probs input
probs - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The probability of success for the binomial distribution.
process(Set, RoundEnvironment) - Method in class org.tensorflow.generator.op.processor.OperatorProcessor
PROCESSING_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
processingMode - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The processingMode input
prod(Operand, Operand, Prod.Options...) - Method in class org.tensorflow.op.Ops: Computes the product of elements across dimensions of a tensor.
Prod<T> - Class in org.tensorflow.op.core: Computes the product of elements across dimensions of a tensor.
Prod(Operation) - Constructor for class org.tensorflow.op.core.Prod
Prod.Inputs<T> - Class in org.tensorflow.op.core
Prod.Options - Class in org.tensorflow.op.core: Optional attributes for Prod
PRODUCER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VersionDef
product() - Method in class org.tensorflow.op.linalg.Cross: Gets product.
product() - Method in class org.tensorflow.op.linalg.MatMul: Gets product.
product() - Method in class org.tensorflow.op.sparse.SparseMatMul: Gets product.
product() - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: Gets product.
PROFILER_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
ProfilerOptions - Class in org.tensorflow.proto.dummy
ProfilerOptions - Class in org.tensorflow.proto
ProfilerOptions.ProfileOptions - Class in org.tensorflow.proto: Next ID: 11
ProfilerOptions.ProfileOptions.Builder - Class in org.tensorflow.proto: Next ID: 11
ProfilerOptions.ProfileOptions.DeviceType - Enum in org.tensorflow.proto: Protobuf enum tensorflow.ProfileOptions.DeviceType
ProfilerOptions.ProfileOptionsOrBuilder - Interface in org.tensorflow.proto
ProfilerOptions.RemoteProfilerSessionManagerOptions - Class in org.tensorflow.proto: Options for remote profiler session manager.
ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder - Class in org.tensorflow.proto: Options for remote profiler session manager.
ProfilerOptions.RemoteProfilerSessionManagerOptionsOrBuilder - Interface in org.tensorflow.proto
program() - Method in class org.tensorflow.op.tpu.Compile: Gets program.
programKey - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The programKey input
programKey - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The programKey input
programKey - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The programKey input
progressive - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: If True, create a JPEG that loads progressively (coarse to fine).
progressive(Boolean) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the progressive option.
progressive(Boolean) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the progressive option.
PROPERTIES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
protocol - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The protocol input
protocol - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The protocol input
PROTOCOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
PROTOCOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
PROTOCOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ServerDef
protoKeys() - Method in class org.tensorflow.op.tpu.TpuHandleToProtoKey: Gets protoKeys.
pseudoRandom - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: When set to True, generates the pooling sequence in a pseudorandom fashion, otherwise, in a random fashion.
pseudoRandom - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: When set to True, generates the pooling sequence in a pseudorandom fashion, otherwise, in a random fashion.
pseudoRandom(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the pseudoRandom option.
pseudoRandom(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the pseudoRandom option.
pseudoRandom(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the pseudoRandom option.
pseudoRandom(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the pseudoRandom option.
ptr() - Method in class org.tensorflow.internal.c_api.TF_TString_Large
ptr() - Method in class org.tensorflow.internal.c_api.TF_TString_View
ptr(BytePointer) - Method in class org.tensorflow.internal.c_api.TF_TString_Large
ptr(BytePointer) - Method in class org.tensorflow.internal.c_api.TF_TString_View
PTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocationDescription
PTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogRawAllocation
putAllArgAttr(Map) - Method in class org.tensorflow.proto.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
putAllAttr(Map) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
putAllAttr(Map) - Method in class org.tensorflow.proto.FunctionDef.Builder: Attributes specific to this function definition.
putAllAttr(Map) - Method in class org.tensorflow.proto.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
putAllAttr(Map) - Method in class org.tensorflow.proto.NodeDef.Builder: Operation-specific graph-construction-time configuration.
putAllAttr(Map) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Custom parameters impacting the behavior of the op.
putAllCacheSize(Map) - Method in class org.tensorflow.proto.CPUInfo.Builder: Cache sizes (in bytes), e.g.
putAllCollectionDef(Map) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
putAllConcreteFunctions(Map) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
putAllControlRet(Map) - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
putAllDefaults(Map) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input to corresponding default values if any.
putAllDeviceCount(Map) - Method in class org.tensorflow.proto.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
putAllEnvironment(Map) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
putAllEnvVars(Map) - Method in class org.tensorflow.proto.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
putAllEventMetadata(Map) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
putAllExternalValues(Map) - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names referenced by but external to this context.
putAllExtras(Map) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Generic map from result key to value.
putAllFeature(Map) - Method in class org.tensorflow.proto.Features.Builder: Map from feature name to feature.
putAllFeatureList(Map) - Method in class org.tensorflow.proto.FeatureLists.Builder: Map from feature name to feature list.
putAllFeatureMap(Map) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
putAllFeedDevices(Map) - Method in class org.tensorflow.proto.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
putAllFetchDevices(Map) - Method in class org.tensorflow.proto.CallableOptions.Builder: map<string, string> fetch_devices = 7;
putAllFields(Map) - Method in class org.tensorflow.proto.Struct.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
putAllFramesById(Map) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Stack traces and frames are uniqueified during construction.
putAllFunctionAliases(Map) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
putAllInputs(Map) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input parameters.
putAllNameToTraceId(Map) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This maps a node name to a trace id contained in `traces_by_id`.
putAllNodeNameToControlRet(Map) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Maps from node name to control ret.
putAllNodes(Map) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: Map of node IDs to nodes of this model.
putAllOutputs(Map) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named output parameters.
putAllParameterMap(Map) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
putAllPayloads(Map) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder: map<string, bytes> payloads = 1;
putAllResourceArgUniqueId(Map) - Method in class org.tensorflow.proto.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
putAllRet(Map) - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
putAllSaveableObjects(Map) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Stores the functions used to save and restore this object.
putAllSignatureDef(Map) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
putAllStatMetadata(Map) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
putAllTasks(Map) - Method in class org.tensorflow.proto.JobDef.Builder: Mapping from task ID to "hostname:port" string.
putAllTasks(Map) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
putAllThreadNames(Map) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: Its key is thread id.
putAllTraces(Map) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
putAllTracesById(Map) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
putArgAttr(int, FunctionDef.ArgAttrs) - Method in class org.tensorflow.proto.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
putAttr(String, AttrValue) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
putAttr(String, AttrValue) - Method in class org.tensorflow.proto.FunctionDef.Builder: Attributes specific to this function definition.
putAttr(String, AttrValue) - Method in class org.tensorflow.proto.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
putAttr(String, AttrValue) - Method in class org.tensorflow.proto.NodeDef.Builder: Operation-specific graph-construction-time configuration.
putAttr(String, AttrValue) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Custom parameters impacting the behavior of the op.
putCacheSize(String, long) - Method in class org.tensorflow.proto.CPUInfo.Builder: Cache sizes (in bytes), e.g.
putCollectionDef(String, CollectionDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
putConcreteFunctions(String, SavedObjectGraphOuterClass.SavedConcreteFunction) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
putControlRet(String, String) - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
putDefaults(String, TensorProto) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input to corresponding default values if any.
putDeviceCount(String, int) - Method in class org.tensorflow.proto.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
putEnvironment(String, String) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
putEnvVars(String, String) - Method in class org.tensorflow.proto.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
putEventMetadata(long, Xplane.XEventMetadata) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
putExternalValues(String, String) - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names referenced by but external to this context.
putExtras(String, EntryValue) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Generic map from result key to value.
putFeature(String, Feature) - Method in class org.tensorflow.proto.Features.Builder: Map from feature name to feature.
putFeatureList(String, FeatureList) - Method in class org.tensorflow.proto.FeatureLists.Builder: Map from feature name to feature list.
putFeatureMap(String, FeatureConfiguration) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
putFeedDevices(String, String) - Method in class org.tensorflow.proto.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
putFetchDevices(String, String) - Method in class org.tensorflow.proto.CallableOptions.Builder: map<string, string> fetch_devices = 7;
putFields(String, Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
putFramesById(long, GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Stack traces and frames are uniqueified during construction.
putFunctionAliases(String, String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
putInputs(String, TensorInfo) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input parameters.
putNameToTraceId(String, long) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This maps a node name to a trace id contained in `traces_by_id`.
putNodeNameToControlRet(String, String) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Maps from node name to control ret.
putNodes(long, Model.ModelProto.Node) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: Map of node IDs to nodes of this model.
putOutputs(String, TensorInfo) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named output parameters.
putParameterMap(String, AttrValue) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
putPayloads(String, ByteString) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder: map<string, bytes> payloads = 1;
putResourceArgUniqueId(int, int) - Method in class org.tensorflow.proto.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
putRet(String, String) - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
putSaveableObjects(String, SavedObjectGraphOuterClass.SaveableObject) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Stores the functions used to save and restore this object.
putSignatureDef(String, SignatureDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
putStatMetadata(long, Xplane.XStatMetadata) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
putTasks(int, String) - Method in class org.tensorflow.proto.JobDef.Builder: Mapping from task ID to "hostname:port" string.
putTasks(int, TaskDeviceFilters) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
putThreadNames(int, String) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: Its key is thread id.
putTraces(String, GraphDebugInfo.StackTrace) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
putTracesById(long, GraphDebugInfo.StackTrace) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
PYTHON_BENCHMARK - Enum constant in enum org.tensorflow.proto.TestResults.BenchmarkType: PYTHON_BENCHMARK = 2;
PYTHON_BENCHMARK_VALUE - Static variable in enum org.tensorflow.proto.TestResults.BenchmarkType: PYTHON_BENCHMARK = 2;
PYTHON_TRACER_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.ProfileOptions

Q

q - Variable in class org.tensorflow.op.math.Zeta.Inputs: The q input
q() - Method in class org.tensorflow.op.linalg.Qr: Gets q.
qr(Operand, Qr.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the QR decompositions of one or more matrices.
Qr<T> - Class in org.tensorflow.op.linalg: Computes the QR decompositions of one or more matrices.
Qr(Operation) - Constructor for class org.tensorflow.op.linalg.Qr
Qr.Inputs<T> - Class in org.tensorflow.op.linalg
Qr.Options - Class in org.tensorflow.op.linalg: Optional attributes for Qr
quality - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Quality of the compression from 0 to 100 (higher is better and slower).
quality - Variable in class org.tensorflow.op.image.EncodeJpegVariableQuality.Inputs: An int quality to encode to.
quality(Long) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the quality option.
quality(Long) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the quality option.
quantization - Variable in class org.tensorflow.op.Ops
quantizationAxis - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
quantizationAxis - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
quantizationAxis - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
quantizationAxis(Long) - Method in class org.tensorflow.op.core.UniformQuantizedClipByValue.Options: Sets the quantizationAxis option.
quantizationAxis(Long) - Static method in class org.tensorflow.op.core.UniformQuantizedClipByValue: Sets the quantizationAxis option.
quantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformDequantize.Options: Sets the quantizationAxis option.
quantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformDequantize: Sets the quantizationAxis option.
quantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformQuantize.Options: Sets the quantizationAxis option.
quantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformQuantize: Sets the quantizationAxis option.
quantizationConfigHigh - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The quantizationConfigHigh attribute
quantizationConfigHigh - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The quantizationConfigHigh attribute
quantizationConfigLow - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The quantizationConfigLow attribute
quantizationConfigLow - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The quantizationConfigLow attribute
quantizationConfigNumBuckets - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The quantizationConfigNumBuckets attribute
quantizationConfigNumBuckets - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The quantizationConfigNumBuckets attribute
quantizationMaxVal - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The quantization max value that was used when operand was quantized.
quantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: The quantization max value that was used when input was quantized.
quantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: The quantization max value to quantize input.
quantizationMinVal - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The quantization min value that was used when operand was quantized.
quantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: The quantization min value that was used when input was quantized.
quantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: The quantization min value to quantize input.
QuantizationOps - Class in org.tensorflow.op: An API for building quantization operations as Ops
quantize(Operand, Operand, Operand, Class, Quantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
Quantize<T> - Class in org.tensorflow.op.quantization: Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
Quantize(Operation) - Constructor for class org.tensorflow.op.quantization.Quantize
Quantize.Inputs - Class in org.tensorflow.op.quantization
Quantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for Quantize
quantizeAndDequantize(Operand, Operand, Operand, Operand, QuantizeAndDequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Quantizes then dequantizes a tensor.
QuantizeAndDequantize<T> - Class in org.tensorflow.op.quantization: Quantizes then dequantizes a tensor.
QuantizeAndDequantize(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantize
QuantizeAndDequantize.Inputs<T> - Class in org.tensorflow.op.quantization
QuantizeAndDequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizeAndDequantize
quantizeAndDequantizeV3(Operand, Operand, Operand, Operand, QuantizeAndDequantizeV3.Options...) - Method in class org.tensorflow.op.QuantizationOps: Quantizes then dequantizes a tensor.
QuantizeAndDequantizeV3<T> - Class in org.tensorflow.op.quantization: Quantizes then dequantizes a tensor.
QuantizeAndDequantizeV3(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV3
QuantizeAndDequantizeV3.Inputs<T> - Class in org.tensorflow.op.quantization
QuantizeAndDequantizeV3.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizeAndDequantizeV3
quantizeAndDequantizeV4(Operand, Operand, Operand, QuantizeAndDequantizeV4.Options...) - Method in class org.tensorflow.op.QuantizationOps: Quantizes then dequantizes a tensor.
QuantizeAndDequantizeV4<T> - Class in org.tensorflow.op.quantization: Quantizes then dequantizes a tensor.
QuantizeAndDequantizeV4(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV4
QuantizeAndDequantizeV4.Inputs<T> - Class in org.tensorflow.op.quantization
QuantizeAndDequantizeV4.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizeAndDequantizeV4
quantizeAndDequantizeV4Grad(Operand, Operand, Operand, Operand, QuantizeAndDequantizeV4Grad.Options...) - Method in class org.tensorflow.op.QuantizationOps: Returns the gradient of QuantizeAndDequantizeV4.
QuantizeAndDequantizeV4Grad<T> - Class in org.tensorflow.op.quantization: Returns the gradient of QuantizeAndDequantizeV4.
QuantizeAndDequantizeV4Grad(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad
QuantizeAndDequantizeV4Grad.Inputs<T> - Class in org.tensorflow.op.quantization
QuantizeAndDequantizeV4Grad.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizeAndDequantizeV4Grad
quantizedAdd(Operand, Operand, Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.MathOps: Returns x + y element-wise, working on quantized buffers.
QuantizedAdd<V> - Class in org.tensorflow.op.math: Returns x + y element-wise, working on quantized buffers.
QuantizedAdd(Operation) - Constructor for class org.tensorflow.op.math.QuantizedAdd
QuantizedAdd.Inputs - Class in org.tensorflow.op.math
quantizedAvgPool(Operand, Operand, Operand, List, List, String) - Method in class org.tensorflow.op.NnOps: Produces the average pool of the input tensor for quantized types.
QuantizedAvgPool<T> - Class in org.tensorflow.op.nn: Produces the average pool of the input tensor for quantized types.
QuantizedAvgPool(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedAvgPool
QuantizedAvgPool.Inputs<T> - Class in org.tensorflow.op.nn
quantizedBatchNormWithGlobalNormalization(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, Float, Boolean) - Method in class org.tensorflow.op.NnOps: Quantized Batch normalization.
QuantizedBatchNormWithGlobalNormalization - Class in org.tensorflow.op.nn: Quantized Batch normalization.
QuantizedBatchNormWithGlobalNormalization(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization
QuantizedBatchNormWithGlobalNormalization.Inputs<T> - Class in org.tensorflow.op.nn
quantizedBiasAdd(Operand, Operand, Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.NnOps: Adds Tensor 'bias' to Tensor 'input' for Quantized types.
QuantizedBiasAdd<V> - Class in org.tensorflow.op.nn: Adds Tensor 'bias' to Tensor 'input' for Quantized types.
QuantizedBiasAdd(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedBiasAdd
QuantizedBiasAdd.Inputs - Class in org.tensorflow.op.nn
quantizedConcat(Operand, Iterable, Iterable, Iterable) - Method in class org.tensorflow.op.QuantizationOps: Concatenates quantized tensors along one dimension.
QuantizedConcat<T> - Class in org.tensorflow.op.quantization: Concatenates quantized tensors along one dimension.
QuantizedConcat(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizedConcat
QuantizedConcat.Inputs<T> - Class in org.tensorflow.op.quantization
quantizedConv2d(Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2d.Options...) - Method in class org.tensorflow.op.NnOps: Computes a 2D convolution given quantized 4D input and filter tensors.
QuantizedConv2d<V> - Class in org.tensorflow.op.nn: Computes a 2D convolution given quantized 4D input and filter tensors.
QuantizedConv2d(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2d
QuantizedConv2d.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2d.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2d
quantizedConv2DAndRelu(Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DAndRelu.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DAndRelu operation
QuantizedConv2DAndRelu<V> - Class in org.tensorflow.op.nn: The QuantizedConv2DAndRelu operation
QuantizedConv2DAndRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndRelu
QuantizedConv2DAndRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DAndRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DAndRelu
quantizedConv2DAndReluAndRequantize(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DAndReluAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DAndReluAndRequantize operation
QuantizedConv2DAndReluAndRequantize<V> - Class in org.tensorflow.op.nn: The QuantizedConv2DAndReluAndRequantize operation
QuantizedConv2DAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize
QuantizedConv2DAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DAndReluAndRequantize
quantizedConv2DAndRequantize(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DAndRequantize operation
QuantizedConv2DAndRequantize<V> - Class in org.tensorflow.op.nn: The QuantizedConv2DAndRequantize operation
QuantizedConv2DAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndRequantize
QuantizedConv2DAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DAndRequantize
quantizedConv2DPerChannel(Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DPerChannel.Options...) - Method in class org.tensorflow.op.NnOps: Computes QuantizedConv2D per channel.
QuantizedConv2DPerChannel<V> - Class in org.tensorflow.op.nn: Computes QuantizedConv2D per channel.
QuantizedConv2DPerChannel(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DPerChannel
QuantizedConv2DPerChannel.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DPerChannel.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DPerChannel
quantizedConv2DWithBias(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBias.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBias operation
QuantizedConv2DWithBias<V> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBias operation
QuantizedConv2DWithBias(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBias
QuantizedConv2DWithBias.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBias.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBias
quantizedConv2DWithBiasAndRelu(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBiasAndRelu.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBiasAndRelu operation
QuantizedConv2DWithBiasAndRelu<V> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasAndRelu operation
QuantizedConv2DWithBiasAndRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu
QuantizedConv2DWithBiasAndRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasAndRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasAndRelu
quantizedConv2DWithBiasAndReluAndRequantize(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBiasAndReluAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBiasAndReluAndRequantize operation
QuantizedConv2DWithBiasAndReluAndRequantize<W> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasAndReluAndRequantize operation
QuantizedConv2DWithBiasAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize
QuantizedConv2DWithBiasAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasAndReluAndRequantize
quantizedConv2DWithBiasAndRequantize(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBiasAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBiasAndRequantize operation
QuantizedConv2DWithBiasAndRequantize<W> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasAndRequantize operation
QuantizedConv2DWithBiasAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize
QuantizedConv2DWithBiasAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasAndRequantize
quantizedConv2DWithBiasSignedSumAndReluAndRequantize(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBiasSignedSumAndReluAndRequantize operation
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize<X> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasSignedSumAndReluAndRequantize operation
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasSignedSumAndReluAndRequantize
quantizedConv2DWithBiasSumAndRelu(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBiasSumAndRelu.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBiasSumAndRelu operation
QuantizedConv2DWithBiasSumAndRelu<V> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasSumAndRelu operation
QuantizedConv2DWithBiasSumAndRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu
QuantizedConv2DWithBiasSumAndRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasSumAndRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasSumAndRelu
quantizedConv2DWithBiasSumAndReluAndRequantize(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedConv2DWithBiasSumAndReluAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBiasSumAndReluAndRequantize operation
QuantizedConv2DWithBiasSumAndReluAndRequantize<X> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasSumAndReluAndRequantize operation
QuantizedConv2DWithBiasSumAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize
QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasSumAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasSumAndReluAndRequantize
quantizedDepthwiseConv2D(Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedDepthwiseConv2D.Options...) - Method in class org.tensorflow.op.NnOps: Computes quantized depthwise Conv2D.
QuantizedDepthwiseConv2D<V> - Class in org.tensorflow.op.nn: Computes quantized depthwise Conv2D.
QuantizedDepthwiseConv2D(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2D
QuantizedDepthwiseConv2D.Inputs - Class in org.tensorflow.op.nn
QuantizedDepthwiseConv2D.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedDepthwiseConv2D
quantizedDepthwiseConv2DWithBias(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedDepthwiseConv2DWithBias.Options...) - Method in class org.tensorflow.op.NnOps: Computes quantized depthwise Conv2D with Bias.
QuantizedDepthwiseConv2DWithBias<V> - Class in org.tensorflow.op.nn: Computes quantized depthwise Conv2D with Bias.
QuantizedDepthwiseConv2DWithBias(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias
QuantizedDepthwiseConv2DWithBias.Inputs - Class in org.tensorflow.op.nn
QuantizedDepthwiseConv2DWithBias.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedDepthwiseConv2DWithBias
quantizedDepthwiseConv2DWithBiasAndRelu(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedDepthwiseConv2DWithBiasAndRelu.Options...) - Method in class org.tensorflow.op.NnOps: Computes quantized depthwise Conv2D with Bias and Relu.
QuantizedDepthwiseConv2DWithBiasAndRelu<V> - Class in org.tensorflow.op.nn: Computes quantized depthwise Conv2D with Bias and Relu.
QuantizedDepthwiseConv2DWithBiasAndRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu
QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedDepthwiseConv2DWithBiasAndRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedDepthwiseConv2DWithBiasAndRelu
quantizedDepthwiseConv2DWithBiasAndReluAndRequantize(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, List, String, QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: Computes quantized depthwise Conv2D with Bias, Relu and Requantize.
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize<W> - Class in org.tensorflow.op.nn: Computes quantized depthwise Conv2D with Bias, Relu and Requantize.
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize
quantizedInstanceNorm(Operand, Operand, Operand, QuantizedInstanceNorm.Options...) - Method in class org.tensorflow.op.NnOps: Quantized Instance normalization.
QuantizedInstanceNorm<T> - Class in org.tensorflow.op.nn: Quantized Instance normalization.
QuantizedInstanceNorm(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedInstanceNorm
QuantizedInstanceNorm.Inputs<T> - Class in org.tensorflow.op.nn
QuantizedInstanceNorm.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedInstanceNorm
quantizedMatMul(Operand, Operand, Operand, Operand, Operand, Operand, Class, Class, QuantizedMatMul.Options...) - Method in class org.tensorflow.op.LinalgOps: Perform a quantized matrix multiplication of a by the matrix b.
QuantizedMatMul<V> - Class in org.tensorflow.op.linalg: Perform a quantized matrix multiplication of a by the matrix b.
QuantizedMatMul(Operation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMul
QuantizedMatMul.Inputs - Class in org.tensorflow.op.linalg
QuantizedMatMul.Options - Class in org.tensorflow.op.linalg: Optional attributes for QuantizedMatMul
quantizedMatMulWithBias(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, QuantizedMatMulWithBias.Options...) - Method in class org.tensorflow.op.LinalgOps: Performs a quantized matrix multiplication of a by the matrix b with bias add.
QuantizedMatMulWithBias<W> - Class in org.tensorflow.op.linalg: Performs a quantized matrix multiplication of a by the matrix b with bias add.
QuantizedMatMulWithBias(Operation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBias
QuantizedMatMulWithBias.Inputs - Class in org.tensorflow.op.linalg
QuantizedMatMulWithBias.Options - Class in org.tensorflow.op.linalg: Optional attributes for QuantizedMatMulWithBias
quantizedMatMulWithBiasAndDequantize(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, QuantizedMatMulWithBiasAndDequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: The QuantizedMatMulWithBiasAndDequantize operation
QuantizedMatMulWithBiasAndDequantize<W> - Class in org.tensorflow.op.quantization: The QuantizedMatMulWithBiasAndDequantize operation
QuantizedMatMulWithBiasAndDequantize(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize
QuantizedMatMulWithBiasAndDequantize.Inputs - Class in org.tensorflow.op.quantization
QuantizedMatMulWithBiasAndDequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizedMatMulWithBiasAndDequantize
quantizedMatMulWithBiasAndRelu(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, QuantizedMatMulWithBiasAndRelu.Options...) - Method in class org.tensorflow.op.LinalgOps: Perform a quantized matrix multiplication of a by the matrix b with bias add and relu fusion.
QuantizedMatMulWithBiasAndRelu<V> - Class in org.tensorflow.op.linalg: Perform a quantized matrix multiplication of a by the matrix b with bias add and relu fusion.
QuantizedMatMulWithBiasAndRelu(Operation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu
QuantizedMatMulWithBiasAndRelu.Inputs - Class in org.tensorflow.op.linalg
QuantizedMatMulWithBiasAndRelu.Options - Class in org.tensorflow.op.linalg: Optional attributes for QuantizedMatMulWithBiasAndRelu
quantizedMatMulWithBiasAndReluAndRequantize(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, QuantizedMatMulWithBiasAndReluAndRequantize.Options...) - Method in class org.tensorflow.op.LinalgOps: Perform a quantized matrix multiplication of a by the matrix b with bias add and relu and requantize fusion.
QuantizedMatMulWithBiasAndReluAndRequantize<W> - Class in org.tensorflow.op.linalg: Perform a quantized matrix multiplication of a by the matrix b with bias add and relu and requantize fusion.
QuantizedMatMulWithBiasAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize
QuantizedMatMulWithBiasAndReluAndRequantize.Inputs - Class in org.tensorflow.op.linalg
QuantizedMatMulWithBiasAndReluAndRequantize.Options - Class in org.tensorflow.op.linalg: Optional attributes for QuantizedMatMulWithBiasAndReluAndRequantize
quantizedMatMulWithBiasAndRequantize(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, QuantizedMatMulWithBiasAndRequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: The QuantizedMatMulWithBiasAndRequantize operation
QuantizedMatMulWithBiasAndRequantize<W> - Class in org.tensorflow.op.quantization: The QuantizedMatMulWithBiasAndRequantize operation
QuantizedMatMulWithBiasAndRequantize(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize
QuantizedMatMulWithBiasAndRequantize.Inputs - Class in org.tensorflow.op.quantization
QuantizedMatMulWithBiasAndRequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizedMatMulWithBiasAndRequantize
quantizedMaxPool(Operand, Operand, Operand, List, List, String) - Method in class org.tensorflow.op.NnOps: Produces the max pool of the input tensor for quantized types.
QuantizedMaxPool<T> - Class in org.tensorflow.op.nn: Produces the max pool of the input tensor for quantized types.
QuantizedMaxPool(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedMaxPool
QuantizedMaxPool.Inputs<T> - Class in org.tensorflow.op.nn
quantizedMul(Operand, Operand, Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.MathOps: Returns x * y element-wise, working on quantized buffers.
QuantizedMul<V> - Class in org.tensorflow.op.math: Returns x * y element-wise, working on quantized buffers.
QuantizedMul(Operation) - Constructor for class org.tensorflow.op.math.QuantizedMul
QuantizedMul.Inputs - Class in org.tensorflow.op.math
quantizeDownAndShrinkRange(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.QuantizationOps: Convert the quantized 'input' tensor into a lower-precision 'output', using the actual distribution of the values to maximize the usage of the lower bit depth and adjusting the output min and max ranges accordingly.
QuantizeDownAndShrinkRange - Class in org.tensorflow.op.quantization: Convert the quantized 'input' tensor into a lower-precision 'output', using the actual distribution of the values to maximize the usage of the lower bit depth and adjusting the output min and max ranges accordingly.
QuantizeDownAndShrinkRange(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange
QuantizeDownAndShrinkRange.Inputs - Class in org.tensorflow.op.quantization
quantizedRelu(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.NnOps: Computes Quantized Rectified Linear: max(features, 0)
QuantizedRelu - Class in org.tensorflow.op.nn: Computes Quantized Rectified Linear: max(features, 0)
QuantizedRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedRelu
QuantizedRelu.Inputs - Class in org.tensorflow.op.nn
quantizedRelu6(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.NnOps: Computes Quantized Rectified Linear 6: min(max(features, 0), 6)
QuantizedRelu6 - Class in org.tensorflow.op.nn: Computes Quantized Rectified Linear 6: min(max(features, 0), 6)
QuantizedRelu6(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedRelu6
QuantizedRelu6.Inputs - Class in org.tensorflow.op.nn
quantizedReluX(Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.NnOps: Computes Quantized Rectified Linear X: min(max(features, 0), max_value)
QuantizedReluX - Class in org.tensorflow.op.nn: Computes Quantized Rectified Linear X: min(max(features, 0), max_value)
QuantizedReluX(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedReluX
QuantizedReluX.Inputs - Class in org.tensorflow.op.nn
quantizedReshape(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Reshapes a quantized tensor as per the Reshape op.
QuantizedReshape<T> - Class in org.tensorflow.op.core: Reshapes a quantized tensor as per the Reshape op.
QuantizedReshape(Operation) - Constructor for class org.tensorflow.op.core.QuantizedReshape
QuantizedReshape.Inputs<T> - Class in org.tensorflow.op.core
quantizedResizeBilinear(Operand, Operand, Operand, Operand, QuantizedResizeBilinear.Options...) - Method in class org.tensorflow.op.ImageOps: Resize quantized images to size using quantized bilinear interpolation.
QuantizedResizeBilinear<T> - Class in org.tensorflow.op.image: Resize quantized images to size using quantized bilinear interpolation.
QuantizedResizeBilinear(Operation) - Constructor for class org.tensorflow.op.image.QuantizedResizeBilinear
QuantizedResizeBilinear.Inputs<T> - Class in org.tensorflow.op.image
QuantizedResizeBilinear.Options - Class in org.tensorflow.op.image: Optional attributes for QuantizedResizeBilinear
query - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: A SQL query to execute.
query - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: A SQL query to execute.
QUEUE_CLOSED_EXCEPTION_TYPES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.QueueRunnerDef
QUEUE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.QueueRunnerDef
queueClose(Operand, QueueClose.Options...) - Method in class org.tensorflow.op.IoOps: Closes the given queue.
QueueClose - Class in org.tensorflow.op.io: Closes the given queue.
QueueClose(Operation) - Constructor for class org.tensorflow.op.io.QueueClose
QueueClose.Inputs - Class in org.tensorflow.op.io
QueueClose.Options - Class in org.tensorflow.op.io: Optional attributes for QueueClose
queueDequeue(Operand, List, QueueDequeue.Options...) - Method in class org.tensorflow.op.IoOps: Dequeues a tuple of one or more tensors from the given queue.
QueueDequeue - Class in org.tensorflow.op.io: Dequeues a tuple of one or more tensors from the given queue.
QueueDequeue(Operation) - Constructor for class org.tensorflow.op.io.QueueDequeue
QueueDequeue.Inputs - Class in org.tensorflow.op.io
QueueDequeue.Options - Class in org.tensorflow.op.io: Optional attributes for QueueDequeue
queueDequeueMany(Operand, Operand, List, QueueDequeueMany.Options...) - Method in class org.tensorflow.op.IoOps: Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueMany - Class in org.tensorflow.op.io: Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueMany(Operation) - Constructor for class org.tensorflow.op.io.QueueDequeueMany
QueueDequeueMany.Inputs - Class in org.tensorflow.op.io
QueueDequeueMany.Options - Class in org.tensorflow.op.io: Optional attributes for QueueDequeueMany
queueDequeueUpTo(Operand, Operand, List, QueueDequeueUpTo.Options...) - Method in class org.tensorflow.op.IoOps: Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueUpTo - Class in org.tensorflow.op.io: Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueUpTo(Operation) - Constructor for class org.tensorflow.op.io.QueueDequeueUpTo
QueueDequeueUpTo.Inputs - Class in org.tensorflow.op.io
QueueDequeueUpTo.Options - Class in org.tensorflow.op.io: Optional attributes for QueueDequeueUpTo
queueEnqueue(Operand, Iterable, QueueEnqueue.Options...) - Method in class org.tensorflow.op.IoOps: Enqueues a tuple of one or more tensors in the given queue.
QueueEnqueue - Class in org.tensorflow.op.io: Enqueues a tuple of one or more tensors in the given queue.
QueueEnqueue(Operation) - Constructor for class org.tensorflow.op.io.QueueEnqueue
QueueEnqueue.Inputs - Class in org.tensorflow.op.io
QueueEnqueue.Options - Class in org.tensorflow.op.io: Optional attributes for QueueEnqueue
queueEnqueueMany(Operand, Iterable, QueueEnqueueMany.Options...) - Method in class org.tensorflow.op.IoOps: Enqueues zero or more tuples of one or more tensors in the given queue.
QueueEnqueueMany - Class in org.tensorflow.op.io: Enqueues zero or more tuples of one or more tensors in the given queue.
QueueEnqueueMany(Operation) - Constructor for class org.tensorflow.op.io.QueueEnqueueMany
QueueEnqueueMany.Inputs - Class in org.tensorflow.op.io
QueueEnqueueMany.Options - Class in org.tensorflow.op.io: Optional attributes for QueueEnqueueMany
queueHandle - Variable in class org.tensorflow.op.io.ReaderRead.Inputs: Handle to a Queue, with string work items.
queueHandle - Variable in class org.tensorflow.op.io.ReaderReadUpTo.Inputs: Handle to a Queue, with string work items.
queueIsClosed(Operand) - Method in class org.tensorflow.op.IoOps: Returns true if queue is closed.
QueueIsClosed - Class in org.tensorflow.op.io: Returns true if queue is closed.
QueueIsClosed(Operation) - Constructor for class org.tensorflow.op.io.QueueIsClosed
QueueIsClosed.Inputs - Class in org.tensorflow.op.io
QueueRunnerDef - Class in org.tensorflow.proto: Protocol buffer representing a QueueRunner.
QueueRunnerDef.Builder - Class in org.tensorflow.proto: Protocol buffer representing a QueueRunner.
QueueRunnerDefOrBuilder - Interface in org.tensorflow.proto
QueueRunnerProtos - Class in org.tensorflow.proto
queueSize(Operand) - Method in class org.tensorflow.op.IoOps: Computes the number of elements in the given queue.
QueueSize - Class in org.tensorflow.op.io: Computes the number of elements in the given queue.
QueueSize(Operation) - Constructor for class org.tensorflow.op.io.QueueSize
QueueSize.Inputs - Class in org.tensorflow.op.io

R

r - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The r input
r() - Method in class org.tensorflow.op.linalg.Qr: Gets r.
r() - Method in class org.tensorflow.op.nn.GRUBlockCell: Gets r.
R - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: The R attribute
r0() - Method in class org.tensorflow.op.core.BroadcastDynamicShape: Gets r0.
r0() - Method in class org.tensorflow.op.core.BroadcastGradientArgs: Gets r0.
r1() - Method in class org.tensorflow.op.core.BroadcastGradientArgs: Gets r1.
ragged - Variable in class org.tensorflow.op.Ops
RAGGED_TENSOR_SPEC - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.RaggedTensorSpec
RAGGED_TENSOR_SPEC_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.RaggedTensorSpec
raggedBincount(Operand, Operand, Operand, Operand, RaggedBincount.Options...) - Method in class org.tensorflow.op.RaggedOps: Counts the number of occurrences of each value in an integer array.
RaggedBincount - Class in org.tensorflow.op.ragged: Counts the number of occurrences of each value in an integer array.
RaggedBincount(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedBincount
RaggedBincount.Inputs<T,U> - Class in org.tensorflow.op.ragged
RaggedBincount.Options - Class in org.tensorflow.op.ragged: Optional attributes for RaggedBincount
raggedCountSparseOutput(Operand, Operand, Operand, Boolean, RaggedCountSparseOutput.Options...) - Method in class org.tensorflow.op.RaggedOps: Performs sparse-output bin counting for a ragged tensor input.
RaggedCountSparseOutput - Class in org.tensorflow.op.ragged: Performs sparse-output bin counting for a ragged tensor input.
RaggedCountSparseOutput(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedCountSparseOutput
RaggedCountSparseOutput.Inputs - Class in org.tensorflow.op.ragged
RaggedCountSparseOutput.Options - Class in org.tensorflow.op.ragged: Optional attributes for RaggedCountSparseOutput
raggedCross(Iterable, Iterable, Iterable, Iterable, Iterable, Iterable, String, Boolean, Long, Long, Class, Class) - Method in class org.tensorflow.op.RaggedOps: Generates a feature cross from a list of tensors, and returns it as a RaggedTensor.
RaggedCross<T,U> - Class in org.tensorflow.op.ragged: Generates a feature cross from a list of tensors, and returns it as a RaggedTensor.
RaggedCross(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedCross
RaggedCross.Inputs - Class in org.tensorflow.op.ragged
raggedFillEmptyRows(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.RaggedOps: The RaggedFillEmptyRows operation
RaggedFillEmptyRows<T> - Class in org.tensorflow.op.ragged: The RaggedFillEmptyRows operation
RaggedFillEmptyRows(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedFillEmptyRows
RaggedFillEmptyRows.Inputs<T> - Class in org.tensorflow.op.ragged
raggedFillEmptyRowsGrad(Operand, Operand) - Method in class org.tensorflow.op.RaggedOps: The RaggedFillEmptyRowsGrad operation
RaggedFillEmptyRowsGrad<T> - Class in org.tensorflow.op.ragged: The RaggedFillEmptyRowsGrad operation
RaggedFillEmptyRowsGrad(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad
RaggedFillEmptyRowsGrad.Inputs<T> - Class in org.tensorflow.op.ragged
raggedGather(Iterable, Operand, Operand, Long) - Method in class org.tensorflow.op.RaggedOps: Gather ragged slices from params axis 0 according to indices.
RaggedGather<T,U> - Class in org.tensorflow.op.ragged: Gather ragged slices from params axis 0 according to indices.
RaggedGather(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedGather
RaggedGather.Inputs<T,U> - Class in org.tensorflow.op.ragged
raggedKeys - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The raggedKeys attribute
raggedKeys - Variable in class org.tensorflow.op.io.ParseExample.Inputs: Vector of strings.
raggedKeys(String...) - Method in class org.tensorflow.op.data.ParseExampleDataset.Options: Sets the raggedKeys option.
raggedKeys(String...) - Static method in class org.tensorflow.op.data.ParseExampleDataset: Sets the raggedKeys option.
raggedKeys(List) - Method in class org.tensorflow.op.data.ParseExampleDataset.Options: Sets the raggedKeys option.
raggedKeys(List) - Static method in class org.tensorflow.op.data.ParseExampleDataset: Sets the raggedKeys option.
RaggedOps - Class in org.tensorflow.op: An API for building ragged operations as Ops
raggedRange(Operand, Operand, Operand) - Method in class org.tensorflow.op.RaggedOps: Returns a RaggedTensor containing the specified sequences of numbers.
raggedRange(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RaggedOps: Returns a RaggedTensor containing the specified sequences of numbers.
RaggedRange<U,T> - Class in org.tensorflow.op.ragged: Returns a RaggedTensor containing the specified sequences of numbers.
RaggedRange(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedRange
RaggedRange.Inputs<T> - Class in org.tensorflow.op.ragged
raggedRowSplits - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The row_splits tensor for each RaggedTensor input.
raggedRowSplits() - Method in class org.tensorflow.op.io.ParseExample: Gets raggedRowSplits.
raggedSplitsTypes - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The raggedSplitsTypes attribute
raggedSplitTypes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The raggedSplitTypes attribute
raggedSplitTypes - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of num_ragged types; the data types of row_splits in each Feature given in ragged_keys (where num_ragged = sparse_keys.size()).
raggedTensorFromVariant(Operand, Long, Long, Class) - Method in class org.tensorflow.op.RaggedOps: Decodes a variant Tensor into a RaggedTensor.
raggedTensorFromVariant(Operand, Long, Long, Class, Class) - Method in class org.tensorflow.op.RaggedOps: Decodes a variant Tensor into a RaggedTensor.
RaggedTensorFromVariant<T,U> - Class in org.tensorflow.op.ragged: Decodes a variant Tensor into a RaggedTensor.
RaggedTensorFromVariant(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorFromVariant
RaggedTensorFromVariant.Inputs - Class in org.tensorflow.op.ragged
raggedTensorToSparse(Iterable, Operand) - Method in class org.tensorflow.op.RaggedOps: Converts a RaggedTensor into a SparseTensor with the same values.
RaggedTensorToSparse - Class in org.tensorflow.op.ragged: Converts a RaggedTensor into a SparseTensor with the same values. input=ragged.from_nested_row_splits(rt_dense_values, rt_nested_splits) output=SparseTensor(indices=sparse_indices, values=sparse_values, dense_shape=sparse_dense_shape)
RaggedTensorToSparse(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToSparse
RaggedTensorToSparse.Inputs - Class in org.tensorflow.op.ragged
raggedTensorToTensor(Operand, Operand, Operand, Iterable, List) - Method in class org.tensorflow.op.RaggedOps: Create a dense tensor from a ragged tensor, possibly altering its shape.
RaggedTensorToTensor - Class in org.tensorflow.op.ragged: Create a dense tensor from a ragged tensor, possibly altering its shape.
RaggedTensorToTensor(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToTensor
RaggedTensorToTensor.Inputs - Class in org.tensorflow.op.ragged
raggedTensorToVariant(Iterable, Operand, Boolean) - Method in class org.tensorflow.op.RaggedOps: Encodes a RaggedTensor into a variant Tensor.
RaggedTensorToVariant - Class in org.tensorflow.op.ragged: Encodes a RaggedTensor into a variant Tensor.
RaggedTensorToVariant(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToVariant
RaggedTensorToVariant.Inputs - Class in org.tensorflow.op.ragged
raggedTensorToVariantGradient(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RaggedOps: Helper used to compute the gradient for RaggedTensorToVariant.
RaggedTensorToVariantGradient - Class in org.tensorflow.op.ragged: Helper used to compute the gradient for RaggedTensorToVariant.
RaggedTensorToVariantGradient(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToVariantGradient
RaggedTensorToVariantGradient.Inputs - Class in org.tensorflow.op.ragged
raggedValues - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The values tensor for each RaggedTensor input.
raggedValues() - Method in class org.tensorflow.op.io.ParseExample: Gets raggedValues.
raggedValuesTypes - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The raggedValuesTypes attribute
raggedValueTypes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The raggedValueTypes attribute
raggedValueTypes - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of num_ragged types; the data types of data in each Feature given in ragged_keys (where num_ragged = sparse_keys.size()).
RAM_BUDGET - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalRamBudgetCase
RAM_BUDGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
RAM_BUDGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
ramBudget - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The ramBudget attribute
ramBudget(Long) - Method in class org.tensorflow.op.data.ModelDataset.Options: Sets the ramBudget option.
ramBudget(Long) - Static method in class org.tensorflow.op.data.ModelDataset: Sets the ramBudget option.
random - Variable in class org.tensorflow.op.Ops
randomCrop(Operand, Operand, RandomCrop.Options...) - Method in class org.tensorflow.op.ImageOps: Randomly crop image.
RandomCrop<T> - Class in org.tensorflow.op.image: Randomly crop image.
RandomCrop(Operation) - Constructor for class org.tensorflow.op.image.RandomCrop
RandomCrop.Inputs<T> - Class in org.tensorflow.op.image
RandomCrop.Options - Class in org.tensorflow.op.image: Optional attributes for RandomCrop
randomDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a Dataset that returns pseudorandom numbers.
randomDataset(Operand, Operand, Operand, List, List, RandomDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a Dataset that returns pseudorandom numbers.
RandomDataset - Class in org.tensorflow.op.data.experimental: Creates a Dataset that returns pseudorandom numbers.
RandomDataset - Class in org.tensorflow.op.data: Creates a Dataset that returns pseudorandom numbers.
RandomDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.RandomDataset
RandomDataset(Operation) - Constructor for class org.tensorflow.op.data.RandomDataset
RandomDataset.Inputs - Class in org.tensorflow.op.data.experimental
RandomDataset.Inputs - Class in org.tensorflow.op.data
RandomDataset.Options - Class in org.tensorflow.op.data: Optional attributes for RandomDataset
RandomExperimentalOps - Class in org.tensorflow.op: An API for building random.experimental operations as Ops
randomGamma(Operand, Operand, RandomGamma.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from the Gamma distribution(s) described by alpha.
RandomGamma - Class in org.tensorflow.op.random: Outputs random values from the Gamma distribution(s) described by alpha.
RandomGamma(Operation) - Constructor for class org.tensorflow.op.random.RandomGamma
RandomGamma.Inputs - Class in org.tensorflow.op.random
RandomGamma.Options - Class in org.tensorflow.op.random: Optional attributes for RandomGamma
randomGammaGrad(Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Computes the derivative of a Gamma random sample w.r.t.
RandomGammaGrad<T> - Class in org.tensorflow.op.random: Computes the derivative of a Gamma random sample w.r.t.
RandomGammaGrad(Operation) - Constructor for class org.tensorflow.op.random.RandomGammaGrad
RandomGammaGrad.Inputs<T> - Class in org.tensorflow.op.random
randomIndexShuffle(Operand, Operand, Operand, RandomIndexShuffle.Options...) - Method in class org.tensorflow.op.Ops: Outputs the position of value in a permutation of [0, ..., max_index].
RandomIndexShuffle<T> - Class in org.tensorflow.op.core: Outputs the position of value in a permutation of [0, ..., max_index].
RandomIndexShuffle(Operation) - Constructor for class org.tensorflow.op.core.RandomIndexShuffle
RandomIndexShuffle.Inputs<T> - Class in org.tensorflow.op.core
RandomIndexShuffle.Options - Class in org.tensorflow.op.core: Optional attributes for RandomIndexShuffle
RandomNormal<T> - Class in org.tensorflow.framework.initializers: Initializer that generates tensors with a normal distribution.
RandomNormal(double, double, long) - Constructor for class org.tensorflow.framework.initializers.RandomNormal: creates the RandomUniform initializer
RandomNormal(double, long) - Constructor for class org.tensorflow.framework.initializers.RandomNormal: Creates the RandomUniform initializer using RandomNormal.STDDEV_DEFAULT for the standard deviation.
RandomNormal(long) - Constructor for class org.tensorflow.framework.initializers.RandomNormal: Creates the RandomUniform initializer using RandomNormal.MEAN_DEFAULT for the mean and RandomNormal.STDDEV_DEFAULT for the standard deviation.
RandomOps - Class in org.tensorflow.op: An API for building random operations as Ops
randomPoisson(Operand, Operand, Class, RandomPoisson.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from the Poisson distribution(s) described by rate.
randomPoisson(Operand, Operand, RandomPoisson.Options[]) - Method in class org.tensorflow.op.RandomOps: Outputs random values from the Poisson distribution(s) described by rate.
RandomPoisson<V> - Class in org.tensorflow.op.random: Outputs random values from the Poisson distribution(s) described by rate.
RandomPoisson(Operation) - Constructor for class org.tensorflow.op.random.RandomPoisson
RandomPoisson.Inputs - Class in org.tensorflow.op.random
RandomPoisson.Options - Class in org.tensorflow.op.random: Optional attributes for RandomPoisson
randomShuffle(Operand, RandomShuffle.Options...) - Method in class org.tensorflow.op.RandomOps: Randomly shuffles a tensor along its first dimension.
RandomShuffle<T> - Class in org.tensorflow.op.random: Randomly shuffles a tensor along its first dimension.
RandomShuffle(Operation) - Constructor for class org.tensorflow.op.random.RandomShuffle
RandomShuffle.Inputs<T> - Class in org.tensorflow.op.random
RandomShuffle.Options - Class in org.tensorflow.op.random: Optional attributes for RandomShuffle
randomShuffleQueue(List, RandomShuffleQueue.Options...) - Method in class org.tensorflow.op.IoOps: A queue that randomizes the order of elements.
RandomShuffleQueue - Class in org.tensorflow.op.io: A queue that randomizes the order of elements.
RandomShuffleQueue(Operation) - Constructor for class org.tensorflow.op.io.RandomShuffleQueue
RandomShuffleQueue.Inputs - Class in org.tensorflow.op.io
RandomShuffleQueue.Options - Class in org.tensorflow.op.io: Optional attributes for RandomShuffleQueue
randomStandardNormal(Operand, Class, RandomStandardNormal.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a normal distribution.
RandomStandardNormal - Class in org.tensorflow.op.random: Outputs random values from a normal distribution.
RandomStandardNormal(Operation) - Constructor for class org.tensorflow.op.random.RandomStandardNormal
RandomStandardNormal.Inputs - Class in org.tensorflow.op.random
RandomStandardNormal.Options - Class in org.tensorflow.op.random: Optional attributes for RandomStandardNormal
randomUniform(Operand, Class, RandomUniform.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a uniform distribution.
RandomUniform<T> - Class in org.tensorflow.framework.initializers: Initializer that generates tensors with a uniform distribution.
RandomUniform - Class in org.tensorflow.op.random: Outputs random values from a uniform distribution.
RandomUniform(double, double, long) - Constructor for class org.tensorflow.framework.initializers.RandomUniform: Creates a RandomUniform initializer
RandomUniform(long) - Constructor for class org.tensorflow.framework.initializers.RandomUniform: Creates a RandomUniform initializer using RandomUniform.MINVAL_DEFAULT for the minval and RandomUniform.MAXVAL_DEFAULT for the maxval
RandomUniform(Operation) - Constructor for class org.tensorflow.op.random.RandomUniform
RandomUniform.Inputs - Class in org.tensorflow.op.random
RandomUniform.Options - Class in org.tensorflow.op.random: Optional attributes for RandomUniform
randomUniformInt(Operand, Operand, Operand, RandomUniformInt.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random integers from a uniform distribution.
RandomUniformInt - Class in org.tensorflow.op.random: Outputs random integers from a uniform distribution.
RandomUniformInt(Operation) - Constructor for class org.tensorflow.op.random.RandomUniformInt
RandomUniformInt.Inputs - Class in org.tensorflow.op.random
RandomUniformInt.Options - Class in org.tensorflow.op.random: Optional attributes for RandomUniformInt
range(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Creates a sequence of numbers.
Range<T> - Class in org.tensorflow.op.core: Creates a sequence of numbers.
Range(Operation) - Constructor for class org.tensorflow.op.core.Range
Range.Inputs<T> - Class in org.tensorflow.op.core
rangeDataset(Operand, Operand, Operand, List, List, RangeDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset with a range of values.
RangeDataset - Class in org.tensorflow.op.data: Creates a dataset with a range of values.
RangeDataset(Operation) - Constructor for class org.tensorflow.op.data.RangeDataset
RangeDataset.Inputs - Class in org.tensorflow.op.data
RangeDataset.Options - Class in org.tensorflow.op.data: Optional attributes for RangeDataset
rangeGiven - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The rangeGiven attribute
rangeGiven - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The rangeGiven attribute
rangeGiven - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: Whether the range is given or should be determined from the input tensor.
rangeGiven(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options: Sets the rangeGiven option.
rangeGiven(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Sets the rangeGiven option.
rangeGiven(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Options: Sets the rangeGiven option.
rangeGiven(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Sets the rangeGiven option.
rangeGiven(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the rangeGiven option.
rangeGiven(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the rangeGiven option.
rangeMax - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rangeMax - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rangeMax - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rangeMax - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rangeMax - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rank - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The rank input
rank(Operand) - Method in class org.tensorflow.op.Ops: Returns the rank of a tensor.
Rank - Class in org.tensorflow.op.core: Returns the rank of a tensor.
Rank(Operation) - Constructor for class org.tensorflow.op.core.Rank
Rank.Inputs - Class in org.tensorflow.op.core
rate - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: A scalar representing the sample rate.
rate - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: A tensor in which each scalar is a "rate" parameter describing the associated poisson distribution.
RATE_DEFAULT - Static variable in class org.tensorflow.framework.constraints.MinMaxNorm
rates - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: Must be: [1, rate_rows, rate_cols, 1].
rates - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: The input stride for atrous morphological dilation.
rates - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 1-D of length 4.
rates - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 1-D of length 4.
ratio - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: Downscaling ratio.
ratio - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: Downscaling ratio.
ratio(Long) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the ratio option.
ratio(Long) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the ratio option.
ratio(Long) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the ratio option.
ratio(Long) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the ratio option.
RATIO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
ratioDenominator - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The ratioDenominator input
ratioNumerator - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The ratioNumerator input
raw() - Method in class org.tensorflow.internal.c_api.TF_TString_Raw
raw() - Method in class org.tensorflow.internal.c_api.TF_TString_Union
raw(int) - Method in class org.tensorflow.internal.c_api.TF_TString_Raw
raw(int, byte) - Method in class org.tensorflow.internal.c_api.TF_TString_Raw
raw(TF_TString_Raw) - Method in class org.tensorflow.internal.c_api.TF_TString_Union
RawCustomGradient - Interface in org.tensorflow.op: A custom gradient for an op of unspecified type.
RawOp - Class in org.tensorflow.op: A base class for Op implementations that are backed by a single Operation.
RawOp - Static variable in class org.tensorflow.generator.op.Names
RawOp(Operation, String) - Constructor for class org.tensorflow.op.RawOp: Constructor.
RawOpInputs<T> - Class in org.tensorflow.op: A base class for operation input accessors.
RawOpInputs - Static variable in class org.tensorflow.generator.op.Names
RawOpInputs(T, GraphOperation, Collection) - Constructor for class org.tensorflow.op.RawOpInputs
RawTensor - Class in org.tensorflow: A tensor which memory has not been mapped to a data space directly accessible from the JVM.
ReaderBaseProtos - Class in org.tensorflow.proto
ReaderBaseState - Class in org.tensorflow.proto: For serializing and restoring the state of ReaderBase, see reader_base.h for details.
ReaderBaseState.Builder - Class in org.tensorflow.proto: For serializing and restoring the state of ReaderBase, see reader_base.h for details.
ReaderBaseStateOrBuilder - Interface in org.tensorflow.proto
readerFuncOtherArgs - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The readerFuncOtherArgs input
readerFuncOtherArgs - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The readerFuncOtherArgs input
readerHandle - Variable in class org.tensorflow.op.io.ReaderNumRecordsProduced.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderRead.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderReadUpTo.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderReset.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderRestoreState.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderSerializeState.Inputs: Handle to a Reader.
readerHandle() - Method in class org.tensorflow.op.io.FixedLengthRecordReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.IdentityReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.LmdbReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.TextLineReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.TfRecordReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.WholeFileReader: Gets readerHandle.
readerNumRecordsProduced(Operand) - Method in class org.tensorflow.op.IoOps: Returns the number of records this Reader has produced.
ReaderNumRecordsProduced - Class in org.tensorflow.op.io: Returns the number of records this Reader has produced.
ReaderNumRecordsProduced(Operation) - Constructor for class org.tensorflow.op.io.ReaderNumRecordsProduced
ReaderNumRecordsProduced.Inputs - Class in org.tensorflow.op.io
readerNumWorkUnitsCompleted(Operand) - Method in class org.tensorflow.op.IoOps: Returns the number of work units this Reader has finished processing.
ReaderNumWorkUnitsCompleted - Class in org.tensorflow.op.io: Returns the number of work units this Reader has finished processing.
ReaderNumWorkUnitsCompleted(Operation) - Constructor for class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted
ReaderNumWorkUnitsCompleted.Inputs - Class in org.tensorflow.op.io
readerPrefix - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The readerPrefix attribute
readerPrefix(String) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the readerPrefix option.
readerPrefix(String) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the readerPrefix option.
readerRead(Operand, Operand) - Method in class org.tensorflow.op.IoOps: Returns the next record (key, value pair) produced by a Reader.
ReaderRead - Class in org.tensorflow.op.io: Returns the next record (key, value pair) produced by a Reader.
ReaderRead(Operation) - Constructor for class org.tensorflow.op.io.ReaderRead
ReaderRead.Inputs - Class in org.tensorflow.op.io
readerReadUpTo(Operand, Operand, Operand) - Method in class org.tensorflow.op.IoOps: Returns up to num_records (key, value) pairs produced by a Reader.
ReaderReadUpTo - Class in org.tensorflow.op.io: Returns up to num_records (key, value) pairs produced by a Reader.
ReaderReadUpTo(Operation) - Constructor for class org.tensorflow.op.io.ReaderReadUpTo
ReaderReadUpTo.Inputs - Class in org.tensorflow.op.io
readerReset(Operand) - Method in class org.tensorflow.op.IoOps: Restore a Reader to its initial clean state.
ReaderReset - Class in org.tensorflow.op.io: Restore a Reader to its initial clean state.
ReaderReset(Operation) - Constructor for class org.tensorflow.op.io.ReaderReset
ReaderReset.Inputs - Class in org.tensorflow.op.io
readerRestoreState(Operand, Operand) - Method in class org.tensorflow.op.IoOps: Restore a reader to a previously saved state.
ReaderRestoreState - Class in org.tensorflow.op.io: Restore a reader to a previously saved state.
ReaderRestoreState(Operation) - Constructor for class org.tensorflow.op.io.ReaderRestoreState
ReaderRestoreState.Inputs - Class in org.tensorflow.op.io
readerSerializeState(Operand) - Method in class org.tensorflow.op.IoOps: Produce a string tensor that encodes the state of a Reader.
ReaderSerializeState - Class in org.tensorflow.op.io: Produce a string tensor that encodes the state of a Reader.
ReaderSerializeState(Operation) - Constructor for class org.tensorflow.op.io.ReaderSerializeState
ReaderSerializeState.Inputs - Class in org.tensorflow.op.io
readFile(Operand) - Method in class org.tensorflow.op.IoOps: Reads and outputs the entire contents of the input filename.
ReadFile - Class in org.tensorflow.op.io: Reads and outputs the entire contents of the input filename.
ReadFile(Operation) - Constructor for class org.tensorflow.op.io.ReadFile
ReadFile.Inputs - Class in org.tensorflow.op.io
readVariableOp(Operand, Class) - Method in class org.tensorflow.op.Ops: Reads the value of a variable.
ReadVariableOp<T> - Class in org.tensorflow.op.core: Reads the value of a variable.
ReadVariableOp(Operation) - Constructor for class org.tensorflow.op.core.ReadVariableOp
ReadVariableOp.Inputs - Class in org.tensorflow.op.core
readVariableSplitND(Operand, Class, Long, List, ReadVariableSplitND.Options...) - Method in class org.tensorflow.op.XlaOps: Splits resource variable input tensor across all dimensions.
ReadVariableSplitND<T> - Class in org.tensorflow.op.xla: Splits resource variable input tensor across all dimensions.
ReadVariableSplitND(Operation) - Constructor for class org.tensorflow.op.xla.ReadVariableSplitND
ReadVariableSplitND.Inputs - Class in org.tensorflow.op.xla
ReadVariableSplitND.Options - Class in org.tensorflow.op.xla: Optional attributes for ReadVariableSplitND
real - Variable in class org.tensorflow.op.dtypes.Complex.Inputs: The real input
real(Operand) - Method in class org.tensorflow.op.MathOps: Returns the real part of a complex number.
real(Operand, Class) - Method in class org.tensorflow.op.MathOps: Returns the real part of a complex number.
Real - Class in org.tensorflow.op.math: Returns the real part of a complex number.
Real(Operation) - Constructor for class org.tensorflow.op.math.Real
Real.Inputs - Class in org.tensorflow.op.math
realDiv(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns x / y element-wise for real types.
RealDiv<T> - Class in org.tensorflow.op.math: Returns x / y element-wise for real types.
RealDiv(Operation) - Constructor for class org.tensorflow.op.math.RealDiv
RealDiv.Inputs<T> - Class in org.tensorflow.op.math
rebatchDataset(Operand, Operand, List, List, RebatchDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that changes the batch size.
RebatchDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that changes the batch size.
RebatchDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.RebatchDataset
RebatchDataset.Inputs - Class in org.tensorflow.op.data.experimental
RebatchDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for RebatchDataset
rebatchDatasetV2(Operand, Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: Creates a dataset that changes the batch size.
RebatchDatasetV2 - Class in org.tensorflow.op.data: Creates a dataset that changes the batch size.
RebatchDatasetV2(Operation) - Constructor for class org.tensorflow.op.data.RebatchDatasetV2
RebatchDatasetV2.Inputs - Class in org.tensorflow.op.data
Recall<T> - Class in org.tensorflow.framework.metrics: Computes the recall of the predictions with respect to the labels.
Recall(float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.Recall: Creates a Recall metric with a name of Class.getSimpleName(), and topK and classId set to null.
Recall(float[], Integer, Integer, long, Class) - Constructor for class org.tensorflow.framework.metrics.Recall: Creates a Recall metric with a name of Class.getSimpleName()
Recall(float, long, Class) - Constructor for class org.tensorflow.framework.metrics.Recall: Creates a Recall metric with a name of Class.getSimpleName(), and topK and classId set to null.
Recall(float, Integer, Integer, long, Class) - Constructor for class org.tensorflow.framework.metrics.Recall: Creates a Recall metric with a name of Class.getSimpleName()
Recall(long, Class) - Constructor for class org.tensorflow.framework.metrics.Recall: Creates a Recall metric with a name of Class.getSimpleName(), and topK and classId set to null, and thresholds set to Recall.DEFAULT_THRESHOLD
Recall(Integer, Integer, long, Class) - Constructor for class org.tensorflow.framework.metrics.Recall: Creates a Recall metric with a name of Class.getSimpleName() and using a threshold value of Recall.DEFAULT_THRESHOLD.
Recall(String, float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.Recall: Creates a Recall metric with topK and classId set to null.
Recall(String, float[], Integer, Integer, long, Class) - Constructor for class org.tensorflow.framework.metrics.Recall: Creates a Recall metric.
Recall(String, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.Recall: Creates a Recall metric with topK and classId set to null.
Recall(String, float, Integer, Integer, long, Class) - Constructor for class org.tensorflow.framework.metrics.Recall: Creates a Recall metric.
Recall(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.Recall: Creates a Recall metric with topK and classId set to null and thresholds set to Recall.DEFAULT_THRESHOLD.
Recall(String, Integer, Integer, long, Class) - Constructor for class org.tensorflow.framework.metrics.Recall: Creates a Recall metric using a threshold value of Recall.DEFAULT_THRESHOLD.
RecallAtPrecision<T> - Class in org.tensorflow.framework.metrics: Computes best recall where precision is >= specified value.
RecallAtPrecision(float, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.RecallAtPrecision: Creates a PrecisionRecall metric with a name of Class.getSimpleName().
RecallAtPrecision(float, long, Class) - Constructor for class org.tensorflow.framework.metrics.RecallAtPrecision: Creates a PrecisionRecall metric with a name of Class.getSimpleName() and SensitivitySpecificityBase.DEFAULT_NUM_THRESHOLDS for the number of thresholds
RecallAtPrecision(String, float, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.RecallAtPrecision: Creates a PrecisionRecall metric.
RecallAtPrecision(String, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.RecallAtPrecision: Creates a PrecisionRecall metric with SensitivitySpecificityBase.DEFAULT_NUM_THRESHOLDS for the number of thresholds
recallTarget - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: Recall target for the approximation.
recallTarget(Float) - Method in class org.tensorflow.op.core.ApproxTopK.Options: Sets the recallTarget option.
recallTarget(Float) - Static method in class org.tensorflow.op.core.ApproxTopK: Sets the recallTarget option.
RECEIVED_SHUTDOWN_SIGNAL - Enum constant in enum org.tensorflow.proto.WorkerHealth: RECEIVED_SHUTDOWN_SIGNAL = 1;
RECEIVED_SHUTDOWN_SIGNAL_VALUE - Static variable in enum org.tensorflow.proto.WorkerHealth: RECEIVED_SHUTDOWN_SIGNAL = 1;
reciprocal(Operand) - Method in class org.tensorflow.op.MathOps: Computes the reciprocal of x element-wise.
Reciprocal<T> - Class in org.tensorflow.op.math: Computes the reciprocal of x element-wise.
Reciprocal(Operation) - Constructor for class org.tensorflow.op.math.Reciprocal
Reciprocal.Inputs<T> - Class in org.tensorflow.op.math
reciprocalGrad(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the gradient for the inverse of x wrt its input.
ReciprocalGrad<T> - Class in org.tensorflow.op.math: Computes the gradient for the inverse of x wrt its input.
ReciprocalGrad(Operation) - Constructor for class org.tensorflow.op.math.ReciprocalGrad
ReciprocalGrad.Inputs<T> - Class in org.tensorflow.op.math
RECOMPUTATION_HEURISTICS - Enum constant in enum org.tensorflow.proto.RewriterConfig.MemOptType: Recomputation heuristics will recompute ops (such as Relu activation) during backprop instead of storing them, reducing peak memory usage.
RECOMPUTATION_HEURISTICS_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.MemOptType: Recomputation heuristics will recompute ops (such as Relu activation) during backprop instead of storing them, reducing peak memory usage.
RECORD_METRICS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node
recordBytes - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The recordBytes input
recordBytes - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: Number of bytes in the record.
recordDefaults - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The recordDefaults input
recordDefaults - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The recordDefaults input
recordDefaults - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: One tensor per column of the input record, with either a scalar default value for that column or an empty vector if the column is required.
recordInput(String, RecordInput.Options...) - Method in class org.tensorflow.op.RandomOps: Emits randomized records.
RecordInput - Class in org.tensorflow.op.random: Emits randomized records.
RecordInput(Operation) - Constructor for class org.tensorflow.op.random.RecordInput
RecordInput.Inputs - Class in org.tensorflow.op.random
RecordInput.Options - Class in org.tensorflow.op.random: Optional attributes for RecordInput
records - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: Each string is a record/row in the csv and all records should have the same format.
records() - Method in class org.tensorflow.op.random.RecordInput: Gets records.
recordsProduced() - Method in class org.tensorflow.op.io.ReaderNumRecordsProduced: Gets recordsProduced.
RECOVERABLE_JOBS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
recv(Class, String, String, Long, String, Recv.Options...) - Method in class org.tensorflow.op.Ops: Receives the named tensor from send_device on recv_device.
Recv<T> - Class in org.tensorflow.op.core: Receives the named tensor from send_device on recv_device.
Recv(Operation) - Constructor for class org.tensorflow.op.core.Recv
RECV_BUF_MAX_CHUNK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
Recv.Inputs - Class in org.tensorflow.op.core
Recv.Options - Class in org.tensorflow.op.core: Optional attributes for Recv
recvDevice - Variable in class org.tensorflow.op.core.Recv.Inputs: The name of the device receiving the tensor.
recvDevice - Variable in class org.tensorflow.op.core.Send.Inputs: The name of the device receiving the tensor.
recvKey - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: The recvKey attribute
recvKey(String) - Method in class org.tensorflow.op.xla.XlaHostCompute.Options: Sets the recvKey option.
recvKey(String) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Sets the recvKey option.
recvTPUEmbeddingActivations(Long, String) - Method in class org.tensorflow.op.TpuOps: An op that receives embedding activations on the TPU.
RecvTPUEmbeddingActivations - Class in org.tensorflow.op.tpu: An op that receives embedding activations on the TPU.
RecvTPUEmbeddingActivations(Operation) - Constructor for class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations
RecvTPUEmbeddingActivations.Inputs - Class in org.tensorflow.op.tpu
reduce(Shape, int) - Static method in class org.tensorflow.framework.utils.ShapeUtils: Reduces the shape by eliminating trailing Dimensions.
REDUCE_INF_NAN_THREE_SLOTS - Enum constant in enum org.tensorflow.proto.TensorDebugMode: Reduce the elements of a tensor to a rank-1 tensor of shape [3], in which - the 1st element is -inf if any element of the tensor is -inf, or zero otherwise. - the 2nd element is +inf if any element of the tensor is +inf, or zero otherwise. - the 3rd element is nan if any element of the tensor is nan, or zero otherwise.
REDUCE_INF_NAN_THREE_SLOTS_VALUE - Static variable in enum org.tensorflow.proto.TensorDebugMode: Reduce the elements of a tensor to a rank-1 tensor of shape [3], in which - the 1st element is -inf if any element of the tensor is -inf, or zero otherwise. - the 2nd element is +inf if any element of the tensor is +inf, or zero otherwise. - the 3rd element is nan if any element of the tensor is nan, or zero otherwise.
reduceAll(Operand, Operand, ReduceAll.Options...) - Method in class org.tensorflow.op.Ops: Computes the "logical and" of elements across dimensions of a tensor.
ReduceAll - Class in org.tensorflow.op.core: Computes the "logical and" of elements across dimensions of a tensor.
ReduceAll(Operation) - Constructor for class org.tensorflow.op.core.ReduceAll
ReduceAll.Inputs - Class in org.tensorflow.op.core
ReduceAll.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceAll
reduceAny(Operand, Operand, ReduceAny.Options...) - Method in class org.tensorflow.op.Ops: Computes the "logical or" of elements across dimensions of a tensor.
ReduceAny - Class in org.tensorflow.op.core: Computes the "logical or" of elements across dimensions of a tensor.
ReduceAny(Operation) - Constructor for class org.tensorflow.op.core.ReduceAny
ReduceAny.Inputs - Class in org.tensorflow.op.core
ReduceAny.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceAny
reduceDataset(Operand, Iterable, Iterable, ConcreteFunction, List, List, ReduceDataset.Options...) - Method in class org.tensorflow.op.DataOps: Reduces the input dataset to a singleton using a reduce function.
ReduceDataset - Class in org.tensorflow.op.data: Reduces the input dataset to a singleton using a reduce function.
ReduceDataset(Operation) - Constructor for class org.tensorflow.op.data.ReduceDataset
ReduceDataset.Inputs - Class in org.tensorflow.op.data
ReduceDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ReduceDataset
reduceDims(Shape, Operand) - Method in class org.tensorflow.op.ShapeOps: Reduces the shape to the specified axis.
reduceDims(Shape, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Reduces the shape to the specified axis.
reduceDims(Scope, Shape, Operand) - Static method in class org.tensorflow.op.core.Shapes: Reduces the shape to the specified axis.
reduceDims(Scope, Shape, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Reduces the shape to the specified axis.
reduceDims(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.Shapes: Reshapes the operand by reducing the shape to the specified axis.
reduceDims(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Reshapes the operand by reducing the shape to the specified axis.
reduceDims(Operand, Operand) - Method in class org.tensorflow.op.ShapeOps: Reshapes the operand by reducing the shape to the specified axis.
reduceDims(Operand, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Reshapes the operand by reducing the shape to the specified axis.
reduceFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for reduce_func.
reduceFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The reduceFuncOtherArguments input
reduceFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for reduce_func.
reduceFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The reduceFuncOtherArguments input
reduceJoin(Operand, Operand, ReduceJoin.Options...) - Method in class org.tensorflow.op.StringsOps: Joins a string Tensor across the given dimensions.
ReduceJoin - Class in org.tensorflow.op.strings: Joins a string Tensor across the given dimensions.
ReduceJoin(Operation) - Constructor for class org.tensorflow.op.strings.ReduceJoin
ReduceJoin.Inputs - Class in org.tensorflow.op.strings
ReduceJoin.Options - Class in org.tensorflow.op.strings: Optional attributes for ReduceJoin
reduceLogSumExp(Scope, Operand, int[], boolean) - Static method in class org.tensorflow.framework.op.math.ReduceLogSumExp: Computes log(sum(exp(elements across dimensions of a tensor))).
reduceLogSumExp(Operand, int[], boolean) - Method in class org.tensorflow.framework.op.MathOps: Computes log(sum(exp(elements across dimensions of a tensor))).
ReduceLogSumExp - Class in org.tensorflow.framework.op.math: Reduce Log Sum Exp Operations
ReduceLogSumExp() - Constructor for class org.tensorflow.framework.op.math.ReduceLogSumExp
reduceMax(Operand, Operand, ReduceMax.Options...) - Method in class org.tensorflow.op.Ops: Computes the maximum of elements across dimensions of a tensor.
ReduceMax<T> - Class in org.tensorflow.op.core: Computes the maximum of elements across dimensions of a tensor.
ReduceMax(Operation) - Constructor for class org.tensorflow.op.core.ReduceMax
ReduceMax.Inputs<T> - Class in org.tensorflow.op.core
ReduceMax.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceMax
reduceMin(Operand, Operand, ReduceMin.Options...) - Method in class org.tensorflow.op.Ops: Computes the minimum of elements across dimensions of a tensor.
ReduceMin<T> - Class in org.tensorflow.op.core: Computes the minimum of elements across dimensions of a tensor.
ReduceMin(Operation) - Constructor for class org.tensorflow.op.core.ReduceMin
ReduceMin.Inputs<T> - Class in org.tensorflow.op.core
ReduceMin.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceMin
reduceProd(Operand, Operand, ReduceProd.Options...) - Method in class org.tensorflow.op.Ops: Computes the product of elements across dimensions of a tensor.
ReduceProd<T> - Class in org.tensorflow.op.core: Computes the product of elements across dimensions of a tensor.
ReduceProd(Operation) - Constructor for class org.tensorflow.op.core.ReduceProd
ReduceProd.Inputs<T> - Class in org.tensorflow.op.core
ReduceProd.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceProd
reduceSum(Operand, Operand, ReduceSum.Options...) - Method in class org.tensorflow.op.Ops: Computes the sum of elements across dimensions of a tensor.
ReduceSum<T> - Class in org.tensorflow.op.core: Computes the sum of elements across dimensions of a tensor.
ReduceSum(Operation) - Constructor for class org.tensorflow.op.core.ReduceSum
ReduceSum.Inputs<T> - Class in org.tensorflow.op.core
ReduceSum.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceSum
reduction - Variable in class org.tensorflow.framework.losses.BinaryCrossentropy
reduction - Variable in class org.tensorflow.framework.losses.CategoricalCrossentropy
reduction - Variable in class org.tensorflow.framework.losses.CategoricalHinge
reduction - Variable in class org.tensorflow.framework.losses.CosineSimilarity
reduction - Variable in class org.tensorflow.framework.losses.Hinge
reduction - Variable in class org.tensorflow.framework.losses.Huber
reduction - Variable in class org.tensorflow.framework.losses.KLDivergence
reduction - Variable in class org.tensorflow.framework.losses.LogCosh
reduction - Variable in class org.tensorflow.framework.losses.MeanAbsoluteError
reduction - Variable in class org.tensorflow.framework.losses.MeanAbsolutePercentageError
reduction - Variable in class org.tensorflow.framework.losses.MeanSquaredError
reduction - Variable in class org.tensorflow.framework.losses.MeanSquaredLogarithmicError
reduction - Variable in class org.tensorflow.framework.losses.Poisson
reduction - Variable in class org.tensorflow.framework.losses.SparseCategoricalCrossentropy
reduction - Variable in class org.tensorflow.framework.losses.SquaredHinge
reduction - Variable in class org.tensorflow.framework.metrics.Accuracy
reduction - Variable in class org.tensorflow.framework.metrics.BinaryAccuracy
reduction - Variable in class org.tensorflow.framework.metrics.BinaryCrossentropy
reduction - Variable in class org.tensorflow.framework.metrics.CategoricalAccuracy
reduction - Variable in class org.tensorflow.framework.metrics.CategoricalCrossentropy
reduction - Variable in class org.tensorflow.framework.metrics.CategoricalHinge
reduction - Variable in class org.tensorflow.framework.metrics.CosineSimilarity
reduction - Variable in class org.tensorflow.framework.metrics.Hinge
reduction - Variable in class org.tensorflow.framework.metrics.KLDivergence
reduction - Variable in class org.tensorflow.framework.metrics.LogCoshError
reduction - Variable in class org.tensorflow.framework.metrics.Mean
reduction - Variable in class org.tensorflow.framework.metrics.MeanAbsoluteError
reduction - Variable in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError
reduction - Variable in class org.tensorflow.framework.metrics.MeanRelativeError
reduction - Variable in class org.tensorflow.framework.metrics.MeanSquaredError
reduction - Variable in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError
reduction - Variable in class org.tensorflow.framework.metrics.Poisson
reduction - Variable in class org.tensorflow.framework.metrics.RootMeanSquaredError
reduction - Variable in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy
reduction - Variable in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy
reduction - Variable in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy
reduction - Variable in class org.tensorflow.framework.metrics.SquaredHinge
reduction - Variable in class org.tensorflow.framework.metrics.Sum
reduction - Variable in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy
reduction - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The reduction attribute
reduction - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The reduction attribute
reduction - Variable in class org.tensorflow.op.core.NcclReduce.Inputs: Deprecated.

The reduction attribute
reduction - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The reduction attribute
reduction - Variable in class org.tensorflow.op.distribute.NcclReduce.Inputs: The reduction attribute
Reduction - Enum in org.tensorflow.framework.losses: Type of AbstractLoss Reduction
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.BinaryCrossentropy
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.CategoricalCrossentropy
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.CategoricalHinge
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.CosineSimilarity
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.Hinge
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.Huber
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.KLDivergence
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.LogCosh
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.MeanAbsoluteError
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.MeanAbsolutePercentageError
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.MeanSquaredError
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.MeanSquaredLogarithmicError
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.Poisson
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.SparseCategoricalCrossentropy
REDUCTION_DEFAULT - Static variable in class org.tensorflow.framework.losses.SquaredHinge
reductionAxes - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: 1-D.
reductionAxes - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: 1-D.
reductionAxes - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: 1-D.
reductionAxes - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: 1-D.
reductionDimension - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: Integer dimension along which to search.
reductionDimension(Long) - Method in class org.tensorflow.op.core.ApproxTopK.Options: Sets the reductionDimension option.
reductionDimension(Long) - Static method in class org.tensorflow.op.core.ApproxTopK: Sets the reductionDimension option.
reductionIndices - Variable in class org.tensorflow.op.strings.ReduceJoin.Inputs: The dimensions to reduce over.
reductionInputSizeOverride - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: When set to a positive value, it overrides the size determined by input[reduction_dim] for evaluating the recall.
reductionInputSizeOverride(Long) - Method in class org.tensorflow.op.core.ApproxTopK.Options: Sets the reductionInputSizeOverride option.
reductionInputSizeOverride(Long) - Static method in class org.tensorflow.op.core.ApproxTopK: Sets the reductionInputSizeOverride option.
reductionType - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: The reductionType attribute
reductionType - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: The reductionType attribute
reductionType - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: The reductionType attribute
reductionType(String) - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Options: Sets the reductionType option.
reductionType(String) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Sets the reductionType option.
reductionType(String) - Method in class org.tensorflow.op.train.ConditionalAccumulator.Options: Sets the reductionType option.
reductionType(String) - Static method in class org.tensorflow.op.train.ConditionalAccumulator: Sets the reductionType option.
reductionType(String) - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator.Options: Sets the reductionType option.
reductionType(String) - Static method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Sets the reductionType option.
ref - Variable in class org.tensorflow.op.core.Assign.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.AssignAdd.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.AssignSub.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.CountUpTo.Inputs: Should be from a scalar Variable node.
ref - Variable in class org.tensorflow.op.core.DestroyTemporaryVariable.Inputs: A reference to the temporary variable tensor.
ref - Variable in class org.tensorflow.op.core.IsVariableInitialized.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The ref input
ref - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The ref input
ref() - Method in class org.tensorflow.op.core.TemporaryVariable: Gets ref.
ref() - Method in class org.tensorflow.op.core.Variable: Gets ref.
REF_VALUE - Enum constant in enum org.tensorflow.proto.profiler.Xplane.XStat.ValueCase
REF_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XStat
refEnter(Operand, String, RefEnter.Options...) - Method in class org.tensorflow.op.Ops: Creates or finds a child frame, and makes data available to the child frame.
RefEnter<T> - Class in org.tensorflow.op.core: Creates or finds a child frame, and makes data available to the child frame.
RefEnter(Operation) - Constructor for class org.tensorflow.op.core.RefEnter
RefEnter.Inputs<T> - Class in org.tensorflow.op.core
RefEnter.Options - Class in org.tensorflow.op.core: Optional attributes for RefEnter
REFERENCED_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
refExit(Operand) - Method in class org.tensorflow.op.Ops: Exits the current frame to its parent frame.
RefExit<T> - Class in org.tensorflow.op.core: Exits the current frame to its parent frame.
RefExit(Operation) - Constructor for class org.tensorflow.op.core.RefExit
RefExit.Inputs<T> - Class in org.tensorflow.op.core
refIdentity(Operand) - Method in class org.tensorflow.op.Ops: Return the same ref tensor as the input ref tensor.
RefIdentity<T> - Class in org.tensorflow.op.core: Return the same ref tensor as the input ref tensor.
RefIdentity(Operation) - Constructor for class org.tensorflow.op.core.RefIdentity
RefIdentity.Inputs<T> - Class in org.tensorflow.op.core
refMerge(Iterable) - Method in class org.tensorflow.op.Ops: Forwards the value of an available tensor from inputs to output.
RefMerge<T> - Class in org.tensorflow.op.core: Forwards the value of an available tensor from inputs to output.
RefMerge(Operation) - Constructor for class org.tensorflow.op.core.RefMerge
RefMerge.Inputs<T> - Class in org.tensorflow.op.core
refNextIteration(Operand) - Method in class org.tensorflow.op.Ops: Makes its input available to the next iteration.
RefNextIteration<T> - Class in org.tensorflow.op.core: Makes its input available to the next iteration.
RefNextIteration(Operation) - Constructor for class org.tensorflow.op.core.RefNextIteration
RefNextIteration.Inputs<T> - Class in org.tensorflow.op.core
refreshNames() - Method in class org.tensorflow.op.NativeScope
refreshNames() - Method in class org.tensorflow.op.OpScope
refreshNames() - Method in interface org.tensorflow.op.Scope: Refresh the used name list (used for uniquifying names) from the underlying graph.
refSelect(Operand, Iterable) - Method in class org.tensorflow.op.Ops: Forwards the indexth element of inputs to output.
RefSelect<T> - Class in org.tensorflow.op.core: Forwards the indexth element of inputs to output.
RefSelect(Operation) - Constructor for class org.tensorflow.op.core.RefSelect
RefSelect.Inputs<T> - Class in org.tensorflow.op.core
refSwitch(Operand, Operand) - Method in class org.tensorflow.op.Ops: Forwards the ref tensor data to the output port determined by pred.
RefSwitch<T> - Class in org.tensorflow.op.core: Forwards the ref tensor data to the output port determined by pred.
RefSwitch(Operation) - Constructor for class org.tensorflow.op.core.RefSwitch
RefSwitch.Inputs<T> - Class in org.tensorflow.op.core
regexFullMatch(Operand, Operand) - Method in class org.tensorflow.op.StringsOps: Check if the input matches the regex pattern.
RegexFullMatch - Class in org.tensorflow.op.strings: Check if the input matches the regex pattern.
RegexFullMatch(Operation) - Constructor for class org.tensorflow.op.strings.RegexFullMatch
RegexFullMatch.Inputs - Class in org.tensorflow.op.strings
regexReplace(Operand, Operand, Operand, RegexReplace.Options...) - Method in class org.tensorflow.op.StringsOps: Replaces matches of the pattern regular expression in input with the replacement string provided in rewrite.
RegexReplace - Class in org.tensorflow.op.strings: Replaces matches of the pattern regular expression in input with the replacement string provided in rewrite.
RegexReplace(Operation) - Constructor for class org.tensorflow.op.strings.RegexReplace
RegexReplace.Inputs - Class in org.tensorflow.op.strings
RegexReplace.Options - Class in org.tensorflow.op.strings: Optional attributes for RegexReplace
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.AllocationDescriptionProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.ApiDefProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.AttrValueProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.BfcMemoryMap
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.ClusterProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.CompositeTensorVariant
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.ConfigProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.ControlFlowProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.CoordinationConfig
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.core.CppShapeInference
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.CostGraphProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.DataService
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.Dataset
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.DatasetMetadata
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.DatasetOptions
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.experimental.Snapshot
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.data.model.Model
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.DebugEventProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.DebugProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.DeviceAttributesProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.DeviceFiltersProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.DevicePropertiesProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.dummy.BfcMemoryMap
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.dummy.ProfilerOptions
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.dummy.RpcOptions
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.dummy.Status
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.dummy.TestLog
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandleProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.error.dummy.ErrorCodes
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.error.ErrorCodesProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.ErrorCodes
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.EventProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.ExampleParserConfigurationProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.ExampleProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.FeatureProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.FingerprintProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.FullTypeProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.FunctionProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.GraphDebugInfoProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.GraphProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.GraphTransferInfoProto
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.Histogram
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.KernelDefProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.LogMemoryProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.MemmappedFileSystem
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.MetaGraphProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.NamedTensorProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.NodeProto
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.OpDefProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.OpPerformanceData
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.profiler.empty.Xplane
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.profiler.Xplane
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.ProfilerOptions
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.QueueRunnerProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.ReaderBaseProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.ResourceHandle
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.RewriterConfigProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.RpcOptions
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.SavedModelProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.SavedTensorSliceProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.SaverProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.ServerProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.Status
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.StepStatsProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.Struct
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.SummaryProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.TensorBundleProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.TensorDescriptionProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.TensorProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.TensorShapeProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.TensorSliceProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.TestLogProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.TransportOptions
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.TypesProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.VariableProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.VerifierConfigProtos
registerAllExtensions(ExtensionRegistry) - Static method in class org.tensorflow.proto.VersionsProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AllocationDescriptionProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ApiDefProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.AttrValueProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.BfcMemoryMap
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ClusterProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CompositeTensorVariant
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ConfigProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ControlFlowProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CoordinationConfig
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.CppShapeInference
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.core.platform.CorePlatformPayloads
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.CostGraphProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DataService
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.Dataset
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetMetadata
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.DatasetOptions
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.ServiceConfig
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.experimental.Snapshot
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.data.model.Model
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugEventProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DebugProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceAttributesProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DeviceFiltersProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.DevicePropertiesProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.dummy.BfcMemoryMap
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.dummy.ProfilerOptions
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.dummy.RpcOptions
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.dummy.Status
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.dummy.TestLog
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.eager.RemoteTensorHandleProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.error.dummy.ErrorCodes
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.error.ErrorCodesProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ErrorCodes
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.EventProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ExampleParserConfigurationProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ExampleProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FeatureProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FingerprintProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FullTypeProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.FunctionProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphDebugInfoProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.GraphTransferInfoProto
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Histogram
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.KernelDefProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.LogMemoryProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MemmappedFileSystem
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.MetaGraphProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NamedTensorProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.NodeProto
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpDefProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OpPerformanceData
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.empty.Xplane
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.profiler.Xplane
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ProfilerOptions
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.QueueRunnerProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ReaderBaseProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ResourceHandle
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RewriterConfigProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.RpcOptions
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedModelProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedObjectGraphOuterClass
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SavedTensorSliceProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SaverProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.ServerProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Status
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.StepStatsProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.Struct
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.SummaryProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorBundleProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorDescriptionProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorShapeProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TensorSliceProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TestLogProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TrackableObjectGraphOuterClass
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TransportOptions
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.TypesProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.UniformQuantOpsAttr
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VariableProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VerifierConfigProtos
registerAllExtensions(ExtensionRegistryLite) - Static method in class org.tensorflow.proto.VersionsProtos
registerCustomGradient(Class, CustomGradient) - Static method in class org.tensorflow.TensorFlow: Register a custom gradient function for ops of inputClass's op type.
registerCustomGradient(String, RawCustomGradient) - Static method in class org.tensorflow.TensorFlow: Register a custom gradient function for ops of opType type.
registerDataset(Operand, Operand, Operand, Long, RegisterDataset.Options...) - Method in class org.tensorflow.op.DataOps: Registers a dataset with the tf.data service.
RegisterDataset - Class in org.tensorflow.op.data: Registers a dataset with the tf.data service.
RegisterDataset(Operation) - Constructor for class org.tensorflow.op.data.RegisterDataset
RegisterDataset.Inputs - Class in org.tensorflow.op.data
RegisterDataset.Options - Class in org.tensorflow.op.data: Optional attributes for RegisterDataset
REGISTERED_GRADIENTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FunctionDefLibrary
REGISTERED_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
REGISTERED_OP_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RegisteredGradient
REGISTERED_SAVER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
REGISTERED_SAVER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
REGISTERED_TYPE_SPEC - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: The type registered as type_spec_class_name.
REGISTERED_TYPE_SPEC_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: The type registered as type_spec_class_name.
RegisteredGradient - Class in org.tensorflow.proto: RegisteredGradient stores a gradient function that is registered in the gradients library and used in the ops of a function in the function library.
RegisteredGradient.Builder - Class in org.tensorflow.proto: RegisteredGradient stores a gradient function that is registered in the gradients library and used in the ops of a function in the function library.
RegisteredGradientOrBuilder - Interface in org.tensorflow.proto
registeredOpList() - Static method in class org.tensorflow.TensorFlow: All the TensorFlow operations available in this address space.
registerFilesystemPlugin(String) - Static method in class org.tensorflow.TensorFlow: Loads the filesystem plugin from filename and registers all the filesystems it supports.
Regularizer - Interface in org.tensorflow.framework.regularizers
relayout(Operand, String) - Method in class org.tensorflow.op.Ops: The Relayout operation
Relayout<T> - Class in org.tensorflow.op.core: The Relayout operation
Relayout(Operation) - Constructor for class org.tensorflow.op.core.Relayout
Relayout.Inputs<T> - Class in org.tensorflow.op.core
relayoutLike(Operand, Operand) - Method in class org.tensorflow.op.Ops: The RelayoutLike operation
RelayoutLike<T> - Class in org.tensorflow.op.core: The RelayoutLike operation
RelayoutLike(Operation) - Constructor for class org.tensorflow.op.core.RelayoutLike
RelayoutLike.Inputs<T> - Class in org.tensorflow.op.core
RELEASE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.PlatformInfo
relu(Ops, Operand) - Static method in class org.tensorflow.framework.activations.ReLU: Applies the rectified linear unit activation function with default values.
relu(Ops, Operand, float, float, float) - Static method in class org.tensorflow.framework.activations.ReLU: Applies the rectified linear unit activation function.
relu(Operand) - Method in class org.tensorflow.op.NnOps: Computes rectified linear: max(features, 0).
Relu<T> - Class in org.tensorflow.op.nn: Computes rectified linear: max(features, 0).
Relu(Operation) - Constructor for class org.tensorflow.op.nn.Relu
ReLU - Class in org.tensorflow.framework.activations: Rectified Linear Unit(ReLU) activation.
ReLU() - Constructor for class org.tensorflow.framework.activations.ReLU: Creates a new ReLU with alpha=ReLU.ALPHA_DEFAULT, maxValue=ReLU.MAX_VALUE_DEFAULT, threshold=ReLU.THRESHOLD_DEFAULT,
ReLU(float, float, float) - Constructor for class org.tensorflow.framework.activations.ReLU: Creates a new ReLU
ReLU(Map) - Constructor for class org.tensorflow.framework.activations.ReLU: Creates a ReLU activation from a config map.
RELU - Enum constant in enum org.tensorflow.framework.activations.Activations
Relu.Inputs<T> - Class in org.tensorflow.op.nn
relu6(Operand) - Method in class org.tensorflow.op.NnOps: Computes rectified linear 6: min(max(features, 0), 6).
Relu6<T> - Class in org.tensorflow.op.nn: Computes rectified linear 6: min(max(features, 0), 6).
Relu6(Operation) - Constructor for class org.tensorflow.op.nn.Relu6
Relu6.Inputs<T> - Class in org.tensorflow.op.nn
relu6Grad(Operand, Operand) - Method in class org.tensorflow.op.NnOps: Computes rectified linear 6 gradients for a Relu6 operation.
Relu6Grad<T> - Class in org.tensorflow.op.nn: Computes rectified linear 6 gradients for a Relu6 operation.
Relu6Grad(Operation) - Constructor for class org.tensorflow.op.nn.Relu6Grad
Relu6Grad.Inputs<T> - Class in org.tensorflow.op.nn
reluGrad(Operand, Operand) - Method in class org.tensorflow.op.NnOps: Computes rectified linear gradients for a Relu operation.
ReluGrad<T> - Class in org.tensorflow.op.nn: Computes rectified linear gradients for a Relu operation.
ReluGrad(Operation) - Constructor for class org.tensorflow.op.nn.ReluGrad
ReluGrad.Inputs<T> - Class in org.tensorflow.op.nn
remapping() - Method in class org.tensorflow.op.train.GenerateVocabRemapping: Gets remapping.
REMAPPING_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
remoteCall(Operand, Iterable, List, ConcreteFunction) - Method in class org.tensorflow.op.Ops: Runs function f on a remote device indicated by target.
RemoteCall - Class in org.tensorflow.op.core: Runs function f on a remote device indicated by target.
RemoteCall(Operation) - Constructor for class org.tensorflow.op.core.RemoteCall
RemoteCall.Inputs - Class in org.tensorflow.op.core
RemoteTensorHandle - Class in org.tensorflow.proto.eager: Protobuf type tensorflow.eager.RemoteTensorHandle
RemoteTensorHandle.Builder - Class in org.tensorflow.proto.eager: Protobuf type tensorflow.eager.RemoteTensorHandle
RemoteTensorHandleOrBuilder - Interface in org.tensorflow.proto.eager
RemoteTensorHandleProtos - Class in org.tensorflow.proto.eager
removeAllocationRecords(int) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
removeArgAttr(int) - Method in class org.tensorflow.proto.FunctionDef.Builder: map<uint32, .tensorflow.FunctionDef.ArgAttrs> arg_attr = 7;
removeArgs(int) - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
removeAssetFileDef(int) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
removeAttr(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
removeAttr(int) - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
removeAttr(String) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder: map<string, .tensorflow.AttrValue> attr = 1;
removeAttr(String) - Method in class org.tensorflow.proto.FunctionDef.Builder: Attributes specific to this function definition.
removeAttr(String) - Method in class org.tensorflow.proto.NameAttrList.Builder: map<string, .tensorflow.AttrValue> attr = 2;
removeAttr(String) - Method in class org.tensorflow.proto.NodeDef.Builder: Operation-specific graph-construction-time configuration.
removeAttr(String) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Custom parameters impacting the behavior of the op.
removeAttributes(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
removeAvailableDeviceInfo(int) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
removeBinSummary(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
removeCacheSize(String) - Method in class org.tensorflow.proto.CPUInfo.Builder: Cache sizes (in bytes), e.g.
removeChildren(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
removeChildren(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
removeChunk(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
removeCollectionDef(String) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: collection_def: Map from collection name to collections.
removeComponentMetadata(int) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
removeComponents(int) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
removeComponents(int) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
removeConcreteFunctions(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Information about captures and output structures in concrete functions.
removeConstNodeInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
removeConstraint(int) - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
removeControlRet(String) - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from control output names from `signature` to node names in `node_def` which should be control outputs of this function.
removeCoordinatedJobList(int) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
removeCost(int) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
removeCustomOptimizers(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
removeDebugTensorWatchOpts(int) - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
removeDefaults(String) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input to corresponding default values if any.
removeDependencies(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
removeDeviceCount(String) - Method in class org.tensorflow.proto.ConfigProto.Builder: Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
removeDeviceInfo(int) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
removeDevStats(int) - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
removeDim(int) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
removeDtypesAndShapes(int) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
removeElement(int) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
removeEndpoint(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
removeEntry(int) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
removeEnvironment(String) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Version of the tools and libraries used with this device (e.g. gcc 4.9, cudnn 5.1)
removeEnvVars(String) - Method in class org.tensorflow.proto.RunConfiguration.Builder: Environment variables used to run the test/benchmark.
removeEventMetadata(long) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XEventMetadata map, each entry uses the XEventMetadata.id as key.
removeEvents(int) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
removeExperimentalDistributedVariableComponents(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
removeExtent(int) - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
removeExternalValues(String) - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names referenced by but external to this context.
removeExtras(String) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Generic map from result key to value.
removeFeature(int) - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
removeFeature(String) - Method in class org.tensorflow.proto.Features.Builder: Map from feature name to feature.
removeFeatureList(String) - Method in class org.tensorflow.proto.FeatureLists.Builder: Map from feature name to feature list.
removeFeatureMap(String) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder: map<string, .tensorflow.FeatureConfiguration> feature_map = 1;
removeFeedDevices(String) - Method in class org.tensorflow.proto.CallableOptions.Builder: The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default.
removeFetchDevices(String) - Method in class org.tensorflow.proto.CallableOptions.Builder: map<string, string> fetch_devices = 7;
removeFields(String) - Method in class org.tensorflow.proto.Struct.DictValue.Builder: map<string, .tensorflow.StructuredValue> fields = 1;
removeFileLineCols(int) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
removeFramesById(long) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Stack traces and frames are uniqueified during construction.
removeFunc(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
removeFunction(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
removeFunctionAliases(String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: FunctionDef name to aliases mapping.
removeFunctionGraphs(int) - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
removeGradient(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
removeGraphInputNodeInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
removeGraphOutputNodeInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
removeHandleData(int) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
removeInArg(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
removeInputArg(int) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
removeInputInfo(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
removeInputs(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
removeInputs(String) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named input parameters.
removeJob(int) - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
removeJobs(int) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
removeKernel(int) - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
removeLines(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
removeLink(int) - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
removeMemory(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
removeMetaGraphs(int) - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
removeMetrics(int) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
removeNameToTraceId(String) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This maps a node name to a trace id contained in `traces_by_id`.
removeNestedContexts(int) - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
removeNestedContexts(int) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
removeNode(int) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
removeNode(int) - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
removeNodeDef(int) - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
removeNodeInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
removeNodeInput(int) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
removeNodeInputInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
removeNodeNameToControlRet(String) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Maps from node name to control ret.
removeNodeOutputInfo(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
removeNodes(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
removeNodes(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
removeNodes(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: Map of node IDs to nodes of this model.
removeNodeStats(int) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
removeOp(int) - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
removeOp(int) - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
removeOpPerformance(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
removeOutArg(int) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
removeOutput(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
removeOutputArg(int) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
removeOutputInfo(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
removeOutputs(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
removeOutputs(String) - Method in class org.tensorflow.proto.SignatureDef.Builder: Named output parameters.
removeParameterMap(String) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: map<string, .tensorflow.AttrValue> parameter_map = 2;
removeParameters(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
removePartitionGraphs(int) - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
removePartitionGraphs(int) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
removePayloads(String) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder: map<string, bytes> payloads = 1;
removePlanes(int) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
removeReferencedTensor(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
removeRegisteredGradients(int) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
removeResourceArgUniqueId(int) - Method in class org.tensorflow.proto.FunctionDef.Builder: Unique IDs for each resource argument, used to track aliasing resources.
removeResourceDtypesAndShapes(int) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
removeResourceHandleVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
removeRet(String) - Method in class org.tensorflow.proto.FunctionDef.Builder: A mapping from the output arg names from `signature` to the outputs from `node_def` that should be returned by the function.
removeSaveableObjects(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Stores the functions used to save and restore this object.
removeSessionInterOpThreadPool(int) - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
removeShape(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
removeShapeAndType(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
removeSignatureDef(String) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: signature_def: Map from user supplied key for a signature to a single SignatureDef.
removeSlice(int) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
removeSlices(int) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
removeSlotVariables(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
removeSlotVariables(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
removeSnapShot(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
removeSourceFiles(int) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
removeStatMetadata(long) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStatMetadata map, each entry uses the XStatMetadata.id as key.
removeStats(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
removeStats(int) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
removeStats(int) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
removeTasks(int) - Method in class org.tensorflow.proto.JobDef.Builder: Mapping from task ID to "hostname:port" string.
removeTasks(int) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: Mapping from task ID to task device filters.
removeTensor(int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
removeTensor(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
removeTensor(int) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
removeTensorConnection(int) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
removeTensorMetadata(int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
removeTensorProtos(int) - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
removeTensors(int) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
removeThreadNames(int) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: Its key is thread id.
removeTraces(String) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: Deprecated.
removeTracesById(long) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: map<fixed64, .tensorflow.GraphDebugInfo.StackTrace> traces_by_id = 6;
removeValue(int) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
removeValue(int) - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
removeValues(int) - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
removeValues(int) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
removeValues(int) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
removeVariantVal(int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
removeVirtualDevices(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
removeWorkerLog(int) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
RENAME_TO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef.Arg
RENAME_TO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef.Attr
repeatDataset(Operand, Operand, List, List, RepeatDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits the outputs of input_dataset count times.
RepeatDataset - Class in org.tensorflow.op.data: Creates a dataset that emits the outputs of input_dataset count times.
RepeatDataset(Operation) - Constructor for class org.tensorflow.op.data.RepeatDataset
RepeatDataset.Inputs - Class in org.tensorflow.op.data
RepeatDataset.Options - Class in org.tensorflow.op.data: Optional attributes for RepeatDataset
replaceControlCharacters - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: Whether to replace the C0 control characters (00-1F) with the replacement_char.
replaceControlCharacters - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: Whether to replace the C0 control characters (00-1F) with the replacement_char.
replaceControlCharacters - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: Whether to replace the C0 control characters (00-1F) with the replacement_char.
replaceControlCharacters(Boolean) - Method in class org.tensorflow.op.strings.UnicodeDecode.Options: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Options: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Method in class org.tensorflow.op.strings.UnicodeTranscode.Options: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Static method in class org.tensorflow.op.strings.UnicodeTranscode: Sets the replaceControlCharacters option.
replaceGlobal - Variable in class org.tensorflow.op.strings.RegexReplace.Inputs: If True, the replacement is global (that is, all matches of the pattern regular expression in each input string are rewritten), otherwise the rewrite substitution is only made for the first pattern match.
replaceGlobal - Variable in class org.tensorflow.op.strings.StaticRegexReplace.Inputs: If True, the replacement is global, otherwise the replacement is done only on the first match.
replaceGlobal(Boolean) - Method in class org.tensorflow.op.strings.RegexReplace.Options: Sets the replaceGlobal option.
replaceGlobal(Boolean) - Static method in class org.tensorflow.op.strings.RegexReplace: Sets the replaceGlobal option.
replaceGlobal(Boolean) - Method in class org.tensorflow.op.strings.StaticRegexReplace.Options: Sets the replaceGlobal option.
replaceGlobal(Boolean) - Static method in class org.tensorflow.op.strings.StaticRegexReplace: Sets the replaceGlobal option.
replacementChar - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: The replacement character codepoint to be used in place of any invalid formatting in the input when errors='replace'.
replacementChar - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: The replacement character codepoint to be used in place of any invalid formatting in the input when errors='replace'.
replacementChar - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: The replacement character codepoint to be used in place of any invalid formatting in the input when errors='replace'.
replacementChar - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: The replacement character codepoint to be used in place of any invalid formatting in the input when errors='replace'.
replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeDecode.Options: Sets the replacementChar option.
replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Sets the replacementChar option.
replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Options: Sets the replacementChar option.
replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Sets the replacementChar option.
replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeEncode.Options: Sets the replacementChar option.
replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeEncode: Sets the replacementChar option.
replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeTranscode.Options: Sets the replacementChar option.
replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeTranscode: Sets the replacementChar option.
replica() - Method in class org.tensorflow.DeviceSpec
replica(Integer) - Method in class org.tensorflow.DeviceSpec.Builder
REPLICA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ServerDef
replicatedInput(Iterable, ReplicatedInput.Options...) - Method in class org.tensorflow.op.TpuOps: Connects N inputs to an N-way replicated TPU computation.
ReplicatedInput<T> - Class in org.tensorflow.op.tpu: Connects N inputs to an N-way replicated TPU computation.
ReplicatedInput(Operation) - Constructor for class org.tensorflow.op.tpu.ReplicatedInput
ReplicatedInput.Inputs<T> - Class in org.tensorflow.op.tpu
ReplicatedInput.Options - Class in org.tensorflow.op.tpu: Optional attributes for ReplicatedInput
replicatedOutput(Operand, Long) - Method in class org.tensorflow.op.TpuOps: Connects N outputs from an N-way replicated TPU computation.
ReplicatedOutput<T> - Class in org.tensorflow.op.tpu: Connects N outputs from an N-way replicated TPU computation.
ReplicatedOutput(Operation) - Constructor for class org.tensorflow.op.tpu.ReplicatedOutput
ReplicatedOutput.Inputs<T> - Class in org.tensorflow.op.tpu
replicateMetadata(Long, ReplicateMetadata.Options...) - Method in class org.tensorflow.op.TpuOps: Metadata indicating how the TPU computation should be replicated.
ReplicateMetadata - Class in org.tensorflow.op.tpu: Metadata indicating how the TPU computation should be replicated.
ReplicateMetadata(Operation) - Constructor for class org.tensorflow.op.tpu.ReplicateMetadata
ReplicateMetadata.Inputs - Class in org.tensorflow.op.tpu
ReplicateMetadata.Options - Class in org.tensorflow.op.tpu: Optional attributes for ReplicateMetadata
replicateOnSplit - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: The replicateOnSplit attribute
replicateOnSplit - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The replicateOnSplit attribute
replicateOnSplit(Boolean) - Method in class org.tensorflow.op.data.RangeDataset.Options: Sets the replicateOnSplit option.
replicateOnSplit(Boolean) - Static method in class org.tensorflow.op.data.RangeDataset: Sets the replicateOnSplit option.
replicateOnSplit(Boolean) - Method in class org.tensorflow.op.data.TensorSliceDataset.Options: Sets the replicateOnSplit option.
replicateOnSplit(Boolean) - Static method in class org.tensorflow.op.data.TensorSliceDataset: Sets the replicateOnSplit option.
REPORT_TENSOR_ALLOCATIONS_UPON_OOM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunOptions
REPOSITORY_PATH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
requantizationRange(Operand, Operand, Operand) - Method in class org.tensorflow.op.QuantizationOps: Computes a range that covers the actual values present in a quantized tensor.
RequantizationRange - Class in org.tensorflow.op.quantization: Computes a range that covers the actual values present in a quantized tensor.
RequantizationRange(Operation) - Constructor for class org.tensorflow.op.quantization.RequantizationRange
RequantizationRange.Inputs - Class in org.tensorflow.op.quantization
requantizationRangePerChannel(Operand, Operand, Operand, Float) - Method in class org.tensorflow.op.MathOps: Computes requantization range per channel.
RequantizationRangePerChannel - Class in org.tensorflow.op.math: Computes requantization range per channel.
RequantizationRangePerChannel(Operation) - Constructor for class org.tensorflow.op.math.RequantizationRangePerChannel
RequantizationRangePerChannel.Inputs - Class in org.tensorflow.op.math
requantize(Operand, Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.QuantizationOps: Converts the quantized input tensor into a lower-precision output.
Requantize - Class in org.tensorflow.op.quantization: Converts the quantized input tensor into a lower-precision output.
Requantize(Operation) - Constructor for class org.tensorflow.op.quantization.Requantize
Requantize.Inputs - Class in org.tensorflow.op.quantization
requantizePerChannel(Operand, Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.MathOps: Requantizes input with min and max values known per channel.
RequantizePerChannel - Class in org.tensorflow.op.math: Requantizes input with min and max values known per channel.
RequantizePerChannel(Operation) - Constructor for class org.tensorflow.op.math.RequantizePerChannel
RequantizePerChannel.Inputs - Class in org.tensorflow.op.math
request - Variable in class org.tensorflow.op.tpu.WorkerHeartbeat.Inputs: A string tensor containing a serialized WorkerHeartbeatRequest
REQUESTED_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocationDescription
REQUESTED_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemChunk
requestedDatasetId - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The requestedDatasetId attribute
requestedDatasetId(String) - Method in class org.tensorflow.op.data.RegisterDataset.Options: Sets the requestedDatasetId option.
requestedDatasetId(String) - Static method in class org.tensorflow.op.data.RegisterDataset: Sets the requestedDatasetId option.
RequestedExitCode - Class in org.tensorflow.proto: Protobuf type tensorflow.RequestedExitCode
RequestedExitCode.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.RequestedExitCode
RequestedExitCodeOrBuilder - Interface in org.tensorflow.proto
requestedOutputMax - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The maximum value of the output tensor requested.
requestedOutputMax - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The float value that the maximum quantized output value represents.
requestedOutputMin - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The minimum value of the output tensor requested.
requestedOutputMin - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The float value that the minimum quantized output value represents.
requireNonEmpty - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The requireNonEmpty attribute
requireNonEmpty(Boolean) - Method in class org.tensorflow.op.data.ShardDataset.Options: Sets the requireNonEmpty option.
requireNonEmpty(Boolean) - Static method in class org.tensorflow.op.data.ShardDataset: Sets the requireNonEmpty option.
rerandomizeEachIteration - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: A boolean attribute to rerandomize the sequence of random numbers generated at each epoch.
rerandomizeEachIteration(Boolean) - Method in class org.tensorflow.op.data.RandomDataset.Options: Sets the rerandomizeEachIteration option.
rerandomizeEachIteration(Boolean) - Static method in class org.tensorflow.op.data.RandomDataset: Sets the rerandomizeEachIteration option.
reserveSpace - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The reserveSpace input
reserveSpace() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets reserveSpace.
reserveSpace1 - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: When is_training is True, a 1D Tensor for the computed batch mean to be reused in gradient computation.
reserveSpace1() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets reserveSpace1.
reserveSpace2 - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: When is_training is True, a 1D Tensor for the computed batch variance (inverted variance in the cuDNN case) to be reused in gradient computation.
reserveSpace2() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets reserveSpace2.
reserveSpace3 - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: When is_training is True, a 1D Tensor for some intermediate results to be reused in gradient computation.
reserveSpace3() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets reserveSpace3.
reserveSpace4() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets reserveSpace4.
reserveSpace5() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets reserveSpace5.
RESET_DISK_BYTE_USAGE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugOptions
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.AUC: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.FalseNegatives: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.FalsePositives: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.TrueNegatives: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.TruePositives: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.Accuracy: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.BinaryAccuracy: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.BinaryCrossentropy: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.CategoricalAccuracy: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.CategoricalCrossentropy: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.CategoricalHinge: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.CosineSimilarity: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.Hinge: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.KLDivergence: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.LogCoshError: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.Mean: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.MeanAbsoluteError: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.MeanRelativeError: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.MeanSquaredError: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.Poisson: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.RootMeanSquaredError: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.SquaredHinge: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.Sum: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.MeanIoU: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.MeanTensor: Resets any state variables to their initial values
resetStates(Ops) - Method in interface org.tensorflow.framework.metrics.Metric: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.Precision: Resets any state variables to their initial values
resetStates(Ops) - Method in class org.tensorflow.framework.metrics.Recall: Resets any state variables to their initial values
reshape(Operand, Operand) - Method in class org.tensorflow.op.Ops: Reshapes a tensor.
Reshape<T> - Class in org.tensorflow.op.core: Reshapes a tensor.
Reshape(Operation) - Constructor for class org.tensorflow.op.core.Reshape
Reshape.Inputs<T> - Class in org.tensorflow.op.core
reshuffle - Variable in class org.tensorflow.op.random.AnonymousSeedGenerator.Inputs: The reshuffle input
reshuffleEachIteration - Variable in class org.tensorflow.op.data.GlobalShuffleDataset.Inputs: The reshuffleEachIteration attribute
reshuffleEachIteration - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The reshuffleEachIteration attribute
reshuffleEachIteration - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The reshuffleEachIteration attribute
reshuffleEachIteration(Boolean) - Method in class org.tensorflow.op.data.GlobalShuffleDataset.Options: Sets the reshuffleEachIteration option.
reshuffleEachIteration(Boolean) - Static method in class org.tensorflow.op.data.GlobalShuffleDataset: Sets the reshuffleEachIteration option.
reshuffleEachIteration(Boolean) - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Options: Sets the reshuffleEachIteration option.
reshuffleEachIteration(Boolean) - Static method in class org.tensorflow.op.data.ShuffleAndRepeatDataset: Sets the reshuffleEachIteration option.
reshuffleEachIteration(Boolean) - Method in class org.tensorflow.op.data.ShuffleDataset.Options: Sets the reshuffleEachIteration option.
reshuffleEachIteration(Boolean) - Static method in class org.tensorflow.op.data.ShuffleDataset: Sets the reshuffleEachIteration option.
resizeAlignCorners - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
resizeAlignCorners(Boolean) - Method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Options: Sets the resizeAlignCorners option.
resizeAlignCorners(Boolean) - Static method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d: Sets the resizeAlignCorners option.
resizeArea(Operand, Operand, ResizeArea.Options...) - Method in class org.tensorflow.op.ImageOps: Resize images to size using area interpolation.
ResizeArea - Class in org.tensorflow.op.image: Resize images to size using area interpolation.
ResizeArea(Operation) - Constructor for class org.tensorflow.op.image.ResizeArea
ResizeArea.Inputs - Class in org.tensorflow.op.image
ResizeArea.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeArea
resizeBicubic(Operand, Operand, ResizeBicubic.Options...) - Method in class org.tensorflow.op.ImageOps: Resize images to size using bicubic interpolation.
ResizeBicubic - Class in org.tensorflow.op.image: Resize images to size using bicubic interpolation.
ResizeBicubic(Operation) - Constructor for class org.tensorflow.op.image.ResizeBicubic
ResizeBicubic.Inputs - Class in org.tensorflow.op.image
ResizeBicubic.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeBicubic
resizeBicubicGrad(Operand, Operand, ResizeBicubicGrad.Options...) - Method in class org.tensorflow.op.ImageOps: Computes the gradient of bicubic interpolation.
ResizeBicubicGrad<T> - Class in org.tensorflow.op.image: Computes the gradient of bicubic interpolation.
ResizeBicubicGrad(Operation) - Constructor for class org.tensorflow.op.image.ResizeBicubicGrad
ResizeBicubicGrad.Inputs<T> - Class in org.tensorflow.op.image
ResizeBicubicGrad.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeBicubicGrad
resizeBilinear(Operand, Operand, ResizeBilinear.Options...) - Method in class org.tensorflow.op.ImageOps: Resize images to size using bilinear interpolation.
ResizeBilinear - Class in org.tensorflow.op.image: Resize images to size using bilinear interpolation.
ResizeBilinear(Operation) - Constructor for class org.tensorflow.op.image.ResizeBilinear
ResizeBilinear.Inputs - Class in org.tensorflow.op.image
ResizeBilinear.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeBilinear
resizeBilinearGrad(Operand, Operand, ResizeBilinearGrad.Options...) - Method in class org.tensorflow.op.ImageOps: Computes the gradient of bilinear interpolation.
ResizeBilinearGrad<T> - Class in org.tensorflow.op.image: Computes the gradient of bilinear interpolation.
ResizeBilinearGrad(Operation) - Constructor for class org.tensorflow.op.image.ResizeBilinearGrad
ResizeBilinearGrad.Inputs<T> - Class in org.tensorflow.op.image
ResizeBilinearGrad.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeBilinearGrad
resizedImages() - Method in class org.tensorflow.op.image.QuantizedResizeBilinear: Gets resizedImages. 4-D with shape [batch, new_height, new_width, channels].
resizedImages() - Method in class org.tensorflow.op.image.ResizeArea: Gets resizedImages. 4-D with shape [batch, new_height, new_width, channels].
resizedImages() - Method in class org.tensorflow.op.image.ResizeBicubic: Gets resizedImages. 4-D with shape [batch, new_height, new_width, channels].
resizedImages() - Method in class org.tensorflow.op.image.ResizeBilinear: Gets resizedImages. 4-D with shape [batch, new_height, new_width, channels].
resizedImages() - Method in class org.tensorflow.op.image.ResizeNearestNeighbor: Gets resizedImages. 4-D with shape [batch, new_height, new_width, channels].
resizedImages() - Method in class org.tensorflow.op.image.ScaleAndTranslate: Gets resizedImages.
resizeIfIndexOutOfBounds - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The resizeIfIndexOutOfBounds attribute
resizeIfIndexOutOfBounds(Boolean) - Method in class org.tensorflow.op.core.TensorListSetItem.Options: Sets the resizeIfIndexOutOfBounds option.
resizeIfIndexOutOfBounds(Boolean) - Static method in class org.tensorflow.op.core.TensorListSetItem: Sets the resizeIfIndexOutOfBounds option.
resizeNearestNeighbor(Operand, Operand, ResizeNearestNeighbor.Options...) - Method in class org.tensorflow.op.ImageOps: Resize images to size using nearest neighbor interpolation.
ResizeNearestNeighbor<T> - Class in org.tensorflow.op.image: Resize images to size using nearest neighbor interpolation.
ResizeNearestNeighbor(Operation) - Constructor for class org.tensorflow.op.image.ResizeNearestNeighbor
ResizeNearestNeighbor.Inputs<T> - Class in org.tensorflow.op.image
ResizeNearestNeighbor.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeNearestNeighbor
resizeNearestNeighborGrad(Operand, Operand, ResizeNearestNeighborGrad.Options...) - Method in class org.tensorflow.op.ImageOps: Computes the gradient of nearest neighbor interpolation.
ResizeNearestNeighborGrad<T> - Class in org.tensorflow.op.image: Computes the gradient of nearest neighbor interpolation.
ResizeNearestNeighborGrad(Operation) - Constructor for class org.tensorflow.op.image.ResizeNearestNeighborGrad
ResizeNearestNeighborGrad.Inputs<T> - Class in org.tensorflow.op.image
ResizeNearestNeighborGrad.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeNearestNeighborGrad
resource - Variable in class org.tensorflow.op.core.AssignAddVariableOp.Inputs: handle to the resource in which to store the variable.
resource - Variable in class org.tensorflow.op.core.AssignSubVariableOp.Inputs: handle to the resource in which to store the variable.
resource - Variable in class org.tensorflow.op.core.AssignVariableOp.Inputs: handle to the resource in which to store the variable.
resource - Variable in class org.tensorflow.op.core.DestroyResourceOp.Inputs: handle to the resource to delete.
resource - Variable in class org.tensorflow.op.core.ReadVariableOp.Inputs: handle to the resource in which to store the variable.
resource - Variable in class org.tensorflow.op.core.ResourceCountUpTo.Inputs: Should be from a scalar Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The resource input
resource - Variable in class org.tensorflow.op.core.ResourceGatherNd.Inputs: The resource input
resource - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.VarIsInitializedOp.Inputs: the input resource handle.
resource - Variable in class org.tensorflow.op.data.experimental.IteratorGetDevice.Inputs: The resource input
resource - Variable in class org.tensorflow.op.data.IteratorGetDevice.Inputs: The resource input
resource - Variable in class org.tensorflow.op.io.DisableCopyOnRead.Inputs: The resource handle of the resource variable.
resource - Variable in class org.tensorflow.op.io.FakeQueue.Inputs: The resource input
resource - Variable in class org.tensorflow.op.random.RngReadAndSkip.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.RngSkip.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The resource input
resource - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: Resource variable for concatenated input tensors across all dimensions.
resource - Variable in class org.tensorflow.op.xla.ReadVariableSplitND.Inputs: Resource variable of input tensor to split across all dimensions.
resource() - Method in class org.tensorflow.op.core.Mutex: Gets resource.
resource() - Method in class org.tensorflow.op.core.VarHandleOp: Gets resource.
RESOURCE - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase
RESOURCE_ARG_UNIQUE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FunctionDef
RESOURCE_DTYPES_AND_SHAPES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.eager.RemoteTensorHandle
RESOURCE_EXHAUSTED - Enum constant in enum org.tensorflow.proto.error.Code: Some resource has been exhausted, perhaps a per-user quota, or perhaps the entire file system is out of space.
RESOURCE_EXHAUSTED_VALUE - Static variable in enum org.tensorflow.proto.error.Code: Some resource has been exhausted, perhaps a per-user quota, or perhaps the entire file system is out of space.
RESOURCE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
RESOURCE_HANDLE_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
resourceAccumulatorApplyGradient(Operand, Operand, Operand) - Method in class org.tensorflow.op.TrainOps: Applies a gradient to a given accumulator.
ResourceAccumulatorApplyGradient - Class in org.tensorflow.op.train: Applies a gradient to a given accumulator.
ResourceAccumulatorApplyGradient(Operation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorApplyGradient
ResourceAccumulatorApplyGradient.Inputs - Class in org.tensorflow.op.train
resourceAccumulatorNumAccumulated(Operand) - Method in class org.tensorflow.op.TrainOps: Returns the number of gradients aggregated in the given accumulators.
ResourceAccumulatorNumAccumulated - Class in org.tensorflow.op.train: Returns the number of gradients aggregated in the given accumulators.
ResourceAccumulatorNumAccumulated(Operation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated
ResourceAccumulatorNumAccumulated.Inputs - Class in org.tensorflow.op.train
resourceAccumulatorSetGlobalStep(Operand, Operand) - Method in class org.tensorflow.op.TrainOps: Updates the accumulator with a new value for global_step.
ResourceAccumulatorSetGlobalStep - Class in org.tensorflow.op.train: Updates the accumulator with a new value for global_step.
ResourceAccumulatorSetGlobalStep(Operation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep
ResourceAccumulatorSetGlobalStep.Inputs - Class in org.tensorflow.op.train
resourceAccumulatorTakeGradient(Operand, Operand, Class) - Method in class org.tensorflow.op.TrainOps: Extracts the average gradient in the given ConditionalAccumulator.
ResourceAccumulatorTakeGradient<T> - Class in org.tensorflow.op.train: Extracts the average gradient in the given ConditionalAccumulator.
ResourceAccumulatorTakeGradient(Operation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorTakeGradient
ResourceAccumulatorTakeGradient.Inputs - Class in org.tensorflow.op.train
resourceApplyAdadelta(Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adadelta scheme.
ResourceApplyAdadelta - Class in org.tensorflow.op.train: Update '*var' according to the adadelta scheme. accum = rho() * accum + (1 - rho()) * grad.square(); update = (update_accum + epsilon).sqrt() * (accum + epsilon()).rsqrt() * grad; update_accum = rho() * update_accum + (1 - rho()) * update.square(); var -= update;
ResourceApplyAdadelta(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdadelta
ResourceApplyAdadelta.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyAdadelta.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdadelta
resourceApplyAdagrad(Operand, Operand, Operand, Operand, Operand, ResourceApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adagrad scheme.
ResourceApplyAdagrad - Class in org.tensorflow.op.train: Update '*var' according to the adagrad scheme. accum += grad * grad var -= lr * grad * (1 / (sqrt(accum) + epsilon))
ResourceApplyAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdagrad
ResourceApplyAdagrad.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdagrad
resourceApplyAdagradDa(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the proximal adagrad scheme.
ResourceApplyAdagradDa - Class in org.tensorflow.op.train: Update '*var' according to the proximal adagrad scheme.
ResourceApplyAdagradDa(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdagradDa
ResourceApplyAdagradDa.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyAdagradDa.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdagradDa
resourceApplyAdam(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyAdam.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Adam algorithm.
ResourceApplyAdam - Class in org.tensorflow.op.train: Update '*var' according to the Adam algorithm.
ResourceApplyAdam(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdam
ResourceApplyAdam.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyAdam.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdam
resourceApplyAdaMax(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyAdaMax.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AdaMax algorithm.
ResourceApplyAdaMax - Class in org.tensorflow.op.train: Update '*var' according to the AdaMax algorithm. m_t <- beta1 * m_{t-1} + (1 - beta1) * g v_t <- max(beta2 * v_{t-1}, abs(g)) variable <- variable - learning_rate / (1 - beta1^t) * m_t / (v_t + epsilon)
ResourceApplyAdaMax(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdaMax
ResourceApplyAdaMax.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyAdaMax.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdaMax
resourceApplyAdamWithAmsgrad(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyAdamWithAmsgrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Adam algorithm.
ResourceApplyAdamWithAmsgrad - Class in org.tensorflow.op.train: Update '*var' according to the Adam algorithm.
ResourceApplyAdamWithAmsgrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad
ResourceApplyAdamWithAmsgrad.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyAdamWithAmsgrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdamWithAmsgrad
resourceApplyAddSign(Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyAddSign.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AddSign update.
ResourceApplyAddSign - Class in org.tensorflow.op.train: Update '*var' according to the AddSign update. m_t <- beta1 * m_{t-1} + (1 - beta1) * g update <- (alpha + sign_decay * sign(g) *sign(m)) * g variable <- variable - lr_t * update
ResourceApplyAddSign(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAddSign
ResourceApplyAddSign.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyAddSign.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAddSign
resourceApplyCenteredRmsProp(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the centered RMSProp algorithm.
ResourceApplyCenteredRmsProp - Class in org.tensorflow.op.train: Update '*var' according to the centered RMSProp algorithm.
ResourceApplyCenteredRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyCenteredRmsProp
ResourceApplyCenteredRmsProp.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyCenteredRmsProp
resourceApplyFtrl(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Ftrl-proximal scheme.
ResourceApplyFtrl - Class in org.tensorflow.op.train: Update '*var' according to the Ftrl-proximal scheme. accum_new = accum + grad * grad grad_with_shrinkage = grad + 2 * l2_shrinkage * var linear += grad_with_shrinkage + (accum_new^(-lr_power) - accum^(-lr_power)) / lr * var quadratic = 1.0 / (accum_new^(lr_power) * lr) + 2 * l2 var = (sign(linear) * l1 - linear) / quadratic if |linear| > l1 else 0.0 accum = accum_new
ResourceApplyFtrl(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyFtrl
ResourceApplyFtrl.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyFtrl.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyFtrl
resourceApplyGradientDescent(Operand, Operand, Operand, ResourceApplyGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' by subtracting 'alpha' * 'delta' from it.
ResourceApplyGradientDescent - Class in org.tensorflow.op.train: Update '*var' by subtracting 'alpha' * 'delta' from it.
ResourceApplyGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyGradientDescent
ResourceApplyGradientDescent.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyGradientDescent
resourceApplyKerasMomentum(Operand, Operand, Operand, Operand, Operand, ResourceApplyKerasMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the momentum scheme.
ResourceApplyKerasMomentum - Class in org.tensorflow.op.train: Update '*var' according to the momentum scheme.
ResourceApplyKerasMomentum(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyKerasMomentum
ResourceApplyKerasMomentum.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyKerasMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyKerasMomentum
resourceApplyMomentum(Operand, Operand, Operand, Operand, Operand, ResourceApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the momentum scheme.
ResourceApplyMomentum - Class in org.tensorflow.op.train: Update '*var' according to the momentum scheme.
ResourceApplyMomentum(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyMomentum
ResourceApplyMomentum.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyMomentum
resourceApplyPowerSign(Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyPowerSign.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AddSign update.
ResourceApplyPowerSign - Class in org.tensorflow.op.train: Update '*var' according to the AddSign update. m_t <- beta1 * m_{t-1} + (1 - beta1) * g update <- exp(logbase * sign_decay * sign(g) * sign(m_t)) * g variable <- variable - lr_t * update
ResourceApplyPowerSign(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyPowerSign
ResourceApplyPowerSign.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyPowerSign.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyPowerSign
resourceApplyProximalAdagrad(Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
ResourceApplyProximalAdagrad - Class in org.tensorflow.op.train: Update '*var' and '*accum' according to FOBOS with Adagrad learning rate. accum += grad * grad prox_v = var - lr * grad * (1 / sqrt(accum)) var = sign(prox_v)/(1+lrl2) * max{|prox_v|-lrl1,0}
ResourceApplyProximalAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyProximalAdagrad
ResourceApplyProximalAdagrad.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyProximalAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyProximalAdagrad
resourceApplyProximalGradientDescent(Operand, Operand, Operand, Operand, Operand, ResourceApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' as FOBOS algorithm with fixed learning rate.
ResourceApplyProximalGradientDescent - Class in org.tensorflow.op.train: Update '*var' as FOBOS algorithm with fixed learning rate. prox_v = var - alpha * delta var = sign(prox_v)/(1+alphal2) * max{|prox_v|-alphal1,0}
ResourceApplyProximalGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyProximalGradientDescent
ResourceApplyProximalGradientDescent.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyProximalGradientDescent
resourceApplyRmsProp(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the RMSProp algorithm.
ResourceApplyRmsProp - Class in org.tensorflow.op.train: Update '*var' according to the RMSProp algorithm.
ResourceApplyRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyRmsProp
ResourceApplyRmsProp.Inputs<T> - Class in org.tensorflow.op.train
ResourceApplyRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyRmsProp
resourceConditionalAccumulator(Class, Shape, ResourceConditionalAccumulator.Options...) - Method in class org.tensorflow.op.TrainOps: A conditional accumulator for aggregating gradients.
ResourceConditionalAccumulator - Class in org.tensorflow.op.train: A conditional accumulator for aggregating gradients.
ResourceConditionalAccumulator(Operation) - Constructor for class org.tensorflow.op.train.ResourceConditionalAccumulator
ResourceConditionalAccumulator.Inputs - Class in org.tensorflow.op.train
ResourceConditionalAccumulator.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceConditionalAccumulator
resourceCountUpTo(Operand, Long, Class) - Method in class org.tensorflow.op.Ops: Increments variable pointed to by 'resource' until it reaches 'limit'.
ResourceCountUpTo<T> - Class in org.tensorflow.op.core: Increments variable pointed to by 'resource' until it reaches 'limit'.
ResourceCountUpTo(Operation) - Constructor for class org.tensorflow.op.core.ResourceCountUpTo
ResourceCountUpTo.Inputs - Class in org.tensorflow.op.core
ResourceDtypeAndShape - Class in org.tensorflow.proto.eager: Protobuf type tensorflow.eager.ResourceDtypeAndShape
ResourceDtypeAndShape.Builder - Class in org.tensorflow.proto.eager: Protobuf type tensorflow.eager.ResourceDtypeAndShape
ResourceDtypeAndShapeOrBuilder - Interface in org.tensorflow.proto.eager
resourceGather(Operand, Operand, Class, ResourceGather.Options...) - Method in class org.tensorflow.op.Ops: Gather slices from the variable pointed to by resource according to indices.
ResourceGather - Class in org.tensorflow.op.core: Gather slices from the variable pointed to by resource according to indices.
ResourceGather(Operation) - Constructor for class org.tensorflow.op.core.ResourceGather
ResourceGather.Inputs - Class in org.tensorflow.op.core
ResourceGather.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceGather
resourceGatherNd(Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: The ResourceGatherNd operation
ResourceGatherNd - Class in org.tensorflow.op.core: The ResourceGatherNd operation
ResourceGatherNd(Operation) - Constructor for class org.tensorflow.op.core.ResourceGatherNd
ResourceGatherNd.Inputs - Class in org.tensorflow.op.core
resourceHandle - Variable in class org.tensorflow.op.data.DeserializeIterator.Inputs: A handle to an iterator resource.
resourceHandle - Variable in class org.tensorflow.op.data.IteratorToStringHandle.Inputs: A handle to an iterator resource.
resourceHandle - Variable in class org.tensorflow.op.data.SerializeIterator.Inputs: A handle to an iterator resource.
resourceHandle() - Method in class org.tensorflow.op.data.IteratorFromStringHandle: Gets resourceHandle.
ResourceHandle - Class in org.tensorflow.proto
ResourceHandleProto - Class in org.tensorflow.proto: Protocol buffer representing a handle to a tensorflow resource.
ResourceHandleProto.Builder - Class in org.tensorflow.proto: Protocol buffer representing a handle to a tensorflow resource.
ResourceHandleProto.DtypeAndShape - Class in org.tensorflow.proto: Protocol buffer representing a pair of (data type, tensor shape).
ResourceHandleProto.DtypeAndShape.Builder - Class in org.tensorflow.proto: Protocol buffer representing a pair of (data type, tensor shape).
ResourceHandleProto.DtypeAndShapeOrBuilder - Interface in org.tensorflow.proto
ResourceHandleProtoOrBuilder - Interface in org.tensorflow.proto
resourceScatterAdd(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Adds sparse updates to the variable referenced by resource.
ResourceScatterAdd - Class in org.tensorflow.op.core: Adds sparse updates to the variable referenced by resource.
ResourceScatterAdd(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterAdd
ResourceScatterAdd.Inputs - Class in org.tensorflow.op.core
resourceScatterDiv(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Divides sparse updates into the variable referenced by resource.
ResourceScatterDiv - Class in org.tensorflow.op.core: Divides sparse updates into the variable referenced by resource.
ResourceScatterDiv(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterDiv
ResourceScatterDiv.Inputs - Class in org.tensorflow.op.core
resourceScatterMax(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Reduces sparse updates into the variable referenced by resource using the max operation.
ResourceScatterMax - Class in org.tensorflow.op.core: Reduces sparse updates into the variable referenced by resource using the max operation.
ResourceScatterMax(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterMax
ResourceScatterMax.Inputs - Class in org.tensorflow.op.core
resourceScatterMin(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Reduces sparse updates into the variable referenced by resource using the min operation.
ResourceScatterMin - Class in org.tensorflow.op.core: Reduces sparse updates into the variable referenced by resource using the min operation.
ResourceScatterMin(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterMin
ResourceScatterMin.Inputs - Class in org.tensorflow.op.core
resourceScatterMul(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Multiplies sparse updates into the variable referenced by resource.
ResourceScatterMul - Class in org.tensorflow.op.core: Multiplies sparse updates into the variable referenced by resource.
ResourceScatterMul(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterMul
ResourceScatterMul.Inputs - Class in org.tensorflow.op.core
resourceScatterNdAdd(Operand, Operand, Operand, ResourceScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse addition to individual values or slices in a Variable.
ResourceScatterNdAdd - Class in org.tensorflow.op.core: Applies sparse addition to individual values or slices in a Variable.
ResourceScatterNdAdd(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdAdd
ResourceScatterNdAdd.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdAdd.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdAdd
resourceScatterNdMax(Operand, Operand, Operand, ResourceScatterNdMax.Options...) - Method in class org.tensorflow.op.Ops: The ResourceScatterNdMax operation
ResourceScatterNdMax - Class in org.tensorflow.op.core: The ResourceScatterNdMax operation
ResourceScatterNdMax(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdMax
ResourceScatterNdMax.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdMax.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdMax
resourceScatterNdMin(Operand, Operand, Operand, ResourceScatterNdMin.Options...) - Method in class org.tensorflow.op.Ops: The ResourceScatterNdMin operation
ResourceScatterNdMin - Class in org.tensorflow.op.core: The ResourceScatterNdMin operation
ResourceScatterNdMin(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdMin
ResourceScatterNdMin.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdMin.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdMin
resourceScatterNdSub(Operand, Operand, Operand, ResourceScatterNdSub.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse subtraction to individual values or slices in a Variable.
ResourceScatterNdSub - Class in org.tensorflow.op.core: Applies sparse subtraction to individual values or slices in a Variable.
ResourceScatterNdSub(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdSub
ResourceScatterNdSub.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdSub.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdSub
resourceScatterNdUpdate(Operand, Operand, Operand, ResourceScatterNdUpdate.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse updates to individual values or slices within a given variable according to indices.
ResourceScatterNdUpdate - Class in org.tensorflow.op.core: Applies sparse updates to individual values or slices within a given variable according to indices.
ResourceScatterNdUpdate(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdUpdate
ResourceScatterNdUpdate.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdUpdate
resourceScatterSub(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Subtracts sparse updates from the variable referenced by resource.
ResourceScatterSub - Class in org.tensorflow.op.core: Subtracts sparse updates from the variable referenced by resource.
ResourceScatterSub(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterSub
ResourceScatterSub.Inputs - Class in org.tensorflow.op.core
resourceScatterUpdate(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Assigns sparse updates to the variable referenced by resource.
ResourceScatterUpdate - Class in org.tensorflow.op.core: Assigns sparse updates to the variable referenced by resource.
ResourceScatterUpdate(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterUpdate
ResourceScatterUpdate.Inputs - Class in org.tensorflow.op.core
resourceSparseApplyAdadelta(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps: var: Should be from a Variable().
ResourceSparseApplyAdadelta - Class in org.tensorflow.op.train: var: Should be from a Variable().
ResourceSparseApplyAdadelta(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdadelta
ResourceSparseApplyAdadelta.Inputs<T> - Class in org.tensorflow.op.train
ResourceSparseApplyAdadelta.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyAdadelta
resourceSparseApplyAdagrad(Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
ResourceSparseApplyAdagrad - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
ResourceSparseApplyAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagrad
ResourceSparseApplyAdagrad.Inputs<T> - Class in org.tensorflow.op.train
ResourceSparseApplyAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyAdagrad
resourceSparseApplyAdagradDa(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps: Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
ResourceSparseApplyAdagradDa - Class in org.tensorflow.op.train: Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
ResourceSparseApplyAdagradDa(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagradDa
ResourceSparseApplyAdagradDa.Inputs<T> - Class in org.tensorflow.op.train
ResourceSparseApplyAdagradDa.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyAdagradDa
resourceSparseApplyAdagradV2(Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyAdagradV2.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
ResourceSparseApplyAdagradV2 - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
ResourceSparseApplyAdagradV2(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagradV2
ResourceSparseApplyAdagradV2.Inputs<T> - Class in org.tensorflow.op.train
ResourceSparseApplyAdagradV2.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyAdagradV2
resourceSparseApplyCenteredRmsProp(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the centered RMSProp algorithm.
ResourceSparseApplyCenteredRmsProp - Class in org.tensorflow.op.train: Update '*var' according to the centered RMSProp algorithm.
ResourceSparseApplyCenteredRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp
ResourceSparseApplyCenteredRmsProp.Inputs<T> - Class in org.tensorflow.op.train
ResourceSparseApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyCenteredRmsProp
resourceSparseApplyFtrl(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' according to the Ftrl-proximal scheme.
ResourceSparseApplyFtrl - Class in org.tensorflow.op.train: Update relevant entries in '*var' according to the Ftrl-proximal scheme.
ResourceSparseApplyFtrl(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyFtrl
ResourceSparseApplyFtrl.Inputs<T> - Class in org.tensorflow.op.train
ResourceSparseApplyFtrl.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyFtrl
resourceSparseApplyKerasMomentum(Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyKerasMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
ResourceSparseApplyKerasMomentum - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
ResourceSparseApplyKerasMomentum(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum
ResourceSparseApplyKerasMomentum.Inputs<T> - Class in org.tensorflow.op.train
ResourceSparseApplyKerasMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyKerasMomentum
resourceSparseApplyMomentum(Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
ResourceSparseApplyMomentum - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
ResourceSparseApplyMomentum(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyMomentum
ResourceSparseApplyMomentum.Inputs<T> - Class in org.tensorflow.op.train
ResourceSparseApplyMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyMomentum
resourceSparseApplyProximalAdagrad(Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
ResourceSparseApplyProximalAdagrad - Class in org.tensorflow.op.train: Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
ResourceSparseApplyProximalAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad
ResourceSparseApplyProximalAdagrad.Inputs<T> - Class in org.tensorflow.op.train
ResourceSparseApplyProximalAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyProximalAdagrad
resourceSparseApplyProximalGradientDescent(Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Sparse update '*var' as FOBOS algorithm with fixed learning rate.
ResourceSparseApplyProximalGradientDescent - Class in org.tensorflow.op.train: Sparse update '*var' as FOBOS algorithm with fixed learning rate.
ResourceSparseApplyProximalGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent
ResourceSparseApplyProximalGradientDescent.Inputs<T> - Class in org.tensorflow.op.train
ResourceSparseApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyProximalGradientDescent
resourceSparseApplyRmsProp(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, ResourceSparseApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the RMSProp algorithm.
ResourceSparseApplyRmsProp - Class in org.tensorflow.op.train: Update '*var' according to the RMSProp algorithm.
ResourceSparseApplyRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyRmsProp
ResourceSparseApplyRmsProp.Inputs<T> - Class in org.tensorflow.op.train
ResourceSparseApplyRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyRmsProp
resourceStridedSliceAssign(Operand, Operand, Operand, Operand, Operand, ResourceStridedSliceAssign.Options...) - Method in class org.tensorflow.op.Ops: Assign value to the sliced l-value reference of ref.
ResourceStridedSliceAssign - Class in org.tensorflow.op.core: Assign value to the sliced l-value reference of ref.
ResourceStridedSliceAssign(Operation) - Constructor for class org.tensorflow.op.core.ResourceStridedSliceAssign
ResourceStridedSliceAssign.Inputs<T> - Class in org.tensorflow.op.core
ResourceStridedSliceAssign.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceStridedSliceAssign
response() - Method in class org.tensorflow.op.tpu.WorkerHeartbeat: Gets response.
restore(String) - Method in class org.tensorflow.Session: Restore the actual state of the variables of this session's graph.
restore(Operand, Operand, Operand, List) - Method in class org.tensorflow.op.TrainOps: Restores tensors from a V2 checkpoint.
Restore - Class in org.tensorflow.op.train: Restores tensors from a V2 checkpoint.
Restore(Operation) - Constructor for class org.tensorflow.op.train.Restore
RESTORE_FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
RESTORE_OP_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SaverDef
Restore.Inputs - Class in org.tensorflow.op.train
restoreSlice(Operand, Operand, Operand, Class, RestoreSlice.Options...) - Method in class org.tensorflow.op.TrainOps: Restores a tensor from checkpoint files.
RestoreSlice<T> - Class in org.tensorflow.op.train: Restores a tensor from checkpoint files.
RestoreSlice(Operation) - Constructor for class org.tensorflow.op.train.RestoreSlice
RestoreSlice.Inputs - Class in org.tensorflow.op.train
RestoreSlice.Options - Class in org.tensorflow.op.train: Optional attributes for RestoreSlice
result() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization: Gets result.
result() - Method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: Gets result.
result() - Method in class org.tensorflow.op.ragged.RaggedTensorToTensor: Gets result.
result(Ops, Class) - Method in interface org.tensorflow.framework.metrics.Metric: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.AUC: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.FalseNegatives: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.FalsePositives: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.TrueNegatives: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.TruePositives: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.Accuracy: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.BinaryAccuracy: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.BinaryCrossentropy: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.CategoricalAccuracy: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.CategoricalCrossentropy: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.CategoricalHinge: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.CosineSimilarity: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.Hinge: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.KLDivergence: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.LogCoshError: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.Mean: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.MeanAbsoluteError: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.MeanRelativeError: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.MeanSquaredError: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.Poisson: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.SquaredHinge: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.Sum: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.MeanIoU: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.MeanTensor: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.Precision: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.Recall
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.RootMeanSquaredError: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Gets the current result of the metric
result(Ops, Class) - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Gets the current result of the metric
Result - Class in org.tensorflow: An AutoCloseable wrapper around a Map containing Tensors.
resultIndices() - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Gets resultIndices. 2D indices of a SparseTensor.
resultIndices() - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Gets resultIndices. 2D indices of a SparseTensor.
resultIndices() - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Gets resultIndices. 2D indices of a SparseTensor.
resultMax() - Method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: Gets resultMax.
resultMin() - Method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: Gets resultMin.
results() - Method in class org.tensorflow.op.tpu.Execute: Gets results.
results() - Method in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables: Gets results.
resultShape() - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Gets resultShape. 1D Tensor shape of a SparseTensor.
resultShape() - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Gets resultShape. 1D Tensor shape of a SparseTensor.
resultShape() - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Gets resultShape. 1D Tensor shape of a SparseTensor.
resultValues() - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Gets resultValues. 1D values of a SparseTensor.
resultValues() - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Gets resultValues. 1D values of a SparseTensor.
resultValues() - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Gets resultValues. 1D values of a SparseTensor.
RET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FunctionDef
RET_TYPES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
retrieveAllTPUEmbeddingParameters(Long, String, Long, Long) - Method in class org.tensorflow.op.TpuOps: An op that retrieves optimization parameters from embedding to host memory.
RetrieveAllTPUEmbeddingParameters - Class in org.tensorflow.op.tpu: An op that retrieves optimization parameters from embedding to host memory.
RetrieveAllTPUEmbeddingParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters
RetrieveAllTPUEmbeddingParameters.Inputs - Class in org.tensorflow.op.tpu
retrieveTPUEmbeddingAdadeltaParameters(Long, Long, RetrieveTPUEmbeddingAdadeltaParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve Adadelta embedding parameters.
RetrieveTPUEmbeddingAdadeltaParameters - Class in org.tensorflow.op.tpu: Retrieve Adadelta embedding parameters.
RetrieveTPUEmbeddingAdadeltaParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters
RetrieveTPUEmbeddingAdadeltaParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingAdadeltaParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingAdadeltaParameters
retrieveTPUEmbeddingAdagradMomentumParameters(Long, Long, RetrieveTPUEmbeddingAdagradMomentumParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve Adagrad Momentum embedding parameters.
RetrieveTPUEmbeddingAdagradMomentumParameters - Class in org.tensorflow.op.tpu: Retrieve Adagrad Momentum embedding parameters.
RetrieveTPUEmbeddingAdagradMomentumParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters
RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingAdagradMomentumParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingAdagradMomentumParameters
retrieveTPUEmbeddingAdagradParameters(Long, Long, RetrieveTPUEmbeddingAdagradParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve Adagrad embedding parameters.
RetrieveTPUEmbeddingAdagradParameters - Class in org.tensorflow.op.tpu: Retrieve Adagrad embedding parameters.
RetrieveTPUEmbeddingAdagradParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters
RetrieveTPUEmbeddingAdagradParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingAdagradParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingAdagradParameters
retrieveTPUEmbeddingADAMParameters(Long, Long, RetrieveTPUEmbeddingADAMParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve ADAM embedding parameters.
RetrieveTPUEmbeddingADAMParameters - Class in org.tensorflow.op.tpu: Retrieve ADAM embedding parameters.
RetrieveTPUEmbeddingADAMParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters
RetrieveTPUEmbeddingADAMParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingADAMParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingADAMParameters
retrieveTPUEmbeddingCenteredRMSPropParameters(Long, Long, RetrieveTPUEmbeddingCenteredRMSPropParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve centered RMSProp embedding parameters.
RetrieveTPUEmbeddingCenteredRMSPropParameters - Class in org.tensorflow.op.tpu: Retrieve centered RMSProp embedding parameters.
RetrieveTPUEmbeddingCenteredRMSPropParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters
RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingCenteredRMSPropParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingCenteredRMSPropParameters
retrieveTPUEmbeddingFrequencyEstimatorParameters(Long, Long, RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve frequency estimator embedding parameters.
RetrieveTPUEmbeddingFrequencyEstimatorParameters - Class in org.tensorflow.op.tpu: Retrieve frequency estimator embedding parameters.
RetrieveTPUEmbeddingFrequencyEstimatorParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters
RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingFrequencyEstimatorParameters
retrieveTPUEmbeddingFTRLParameters(Long, Long, RetrieveTPUEmbeddingFTRLParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve FTRL embedding parameters.
RetrieveTPUEmbeddingFTRLParameters - Class in org.tensorflow.op.tpu: Retrieve FTRL embedding parameters.
RetrieveTPUEmbeddingFTRLParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters
RetrieveTPUEmbeddingFTRLParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingFTRLParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingFTRLParameters
retrieveTPUEmbeddingMDLAdagradLightParameters(Long, Long, RetrieveTPUEmbeddingMDLAdagradLightParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve MDL Adagrad Light embedding parameters.
RetrieveTPUEmbeddingMDLAdagradLightParameters - Class in org.tensorflow.op.tpu: Retrieve MDL Adagrad Light embedding parameters.
RetrieveTPUEmbeddingMDLAdagradLightParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters
RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingMDLAdagradLightParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingMDLAdagradLightParameters
retrieveTPUEmbeddingMomentumParameters(Long, Long, RetrieveTPUEmbeddingMomentumParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve Momentum embedding parameters.
RetrieveTPUEmbeddingMomentumParameters - Class in org.tensorflow.op.tpu: Retrieve Momentum embedding parameters.
RetrieveTPUEmbeddingMomentumParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters
RetrieveTPUEmbeddingMomentumParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingMomentumParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingMomentumParameters
retrieveTPUEmbeddingProximalAdagradParameters(Long, Long, RetrieveTPUEmbeddingProximalAdagradParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve proximal Adagrad embedding parameters.
RetrieveTPUEmbeddingProximalAdagradParameters - Class in org.tensorflow.op.tpu: Retrieve proximal Adagrad embedding parameters.
RetrieveTPUEmbeddingProximalAdagradParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters
RetrieveTPUEmbeddingProximalAdagradParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingProximalAdagradParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingProximalAdagradParameters
retrieveTPUEmbeddingProximalYogiParameters(Long, Long, RetrieveTPUEmbeddingProximalYogiParameters.Options...) - Method in class org.tensorflow.op.TpuOps: The RetrieveTPUEmbeddingProximalYogiParameters operation
RetrieveTPUEmbeddingProximalYogiParameters - Class in org.tensorflow.op.tpu: The RetrieveTPUEmbeddingProximalYogiParameters operation
RetrieveTPUEmbeddingProximalYogiParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters
RetrieveTPUEmbeddingProximalYogiParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingProximalYogiParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingProximalYogiParameters
retrieveTPUEmbeddingRMSPropParameters(Long, Long, RetrieveTPUEmbeddingRMSPropParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve RMSProp embedding parameters.
RetrieveTPUEmbeddingRMSPropParameters - Class in org.tensorflow.op.tpu: Retrieve RMSProp embedding parameters.
RetrieveTPUEmbeddingRMSPropParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters
RetrieveTPUEmbeddingRMSPropParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingRMSPropParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingRMSPropParameters
retrieveTPUEmbeddingStochasticGradientDescentParameters(Long, Long, RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve SGD embedding parameters.
RetrieveTPUEmbeddingStochasticGradientDescentParameters - Class in org.tensorflow.op.tpu: Retrieve SGD embedding parameters.
RetrieveTPUEmbeddingStochasticGradientDescentParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters
RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingStochasticGradientDescentParameters
reverse - Variable in class org.tensorflow.op.math.Cumprod.Inputs: A bool (default: False).
reverse - Variable in class org.tensorflow.op.math.Cumsum.Inputs: A bool (default: False).
reverse - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: A bool (default: False).
reverse - Variable in class org.tensorflow.op.nn.NthElement.Inputs: When set to True, find the nth-largest value in the vector and vice versa.
reverse(Boolean) - Method in class org.tensorflow.op.math.Cumprod.Options: Sets the reverse option.
reverse(Boolean) - Static method in class org.tensorflow.op.math.Cumprod: Sets the reverse option.
reverse(Boolean) - Method in class org.tensorflow.op.math.Cumsum.Options: Sets the reverse option.
reverse(Boolean) - Static method in class org.tensorflow.op.math.Cumsum: Sets the reverse option.
reverse(Boolean) - Method in class org.tensorflow.op.math.CumulativeLogsumexp.Options: Sets the reverse option.
reverse(Boolean) - Static method in class org.tensorflow.op.math.CumulativeLogsumexp: Sets the reverse option.
reverse(Boolean) - Method in class org.tensorflow.op.nn.NthElement.Options: Sets the reverse option.
reverse(Boolean) - Static method in class org.tensorflow.op.nn.NthElement: Sets the reverse option.
reverse(Operand, Operand) - Method in class org.tensorflow.op.Ops: Reverses specific dimensions of a tensor.
Reverse<T> - Class in org.tensorflow.op.core: Reverses specific dimensions of a tensor.
Reverse(Operation) - Constructor for class org.tensorflow.op.core.Reverse
Reverse.Inputs<T> - Class in org.tensorflow.op.core
reverseIndexMap - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad.Inputs: The reverseIndexMap input
reverseIndexMap - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad.Inputs: 1-D.
reverseIndexMap() - Method in class org.tensorflow.op.ragged.RaggedFillEmptyRows: Gets reverseIndexMap.
reverseIndexMap() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Gets reverseIndexMap. 1-D. a map from the input indices to the output indices.
reverseSequence(Operand, Operand, Long, ReverseSequence.Options...) - Method in class org.tensorflow.op.Ops: Reverses variable length slices.
ReverseSequence<T> - Class in org.tensorflow.op.core: Reverses variable length slices.
ReverseSequence(Operation) - Constructor for class org.tensorflow.op.core.ReverseSequence
ReverseSequence.Inputs<T> - Class in org.tensorflow.op.core
ReverseSequence.Options - Class in org.tensorflow.op.core: Optional attributes for ReverseSequence
rewrite - Variable in class org.tensorflow.op.strings.RegexReplace.Inputs: The rewrite string to be substituted for the pattern expression where it is matched in the input strings.
rewrite - Variable in class org.tensorflow.op.strings.StaticRegexReplace.Inputs: The rewrite to be applied to the matched expression.
REWRITE_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOptions
rewriteDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: The RewriteDataset operation
RewriteDataset - Class in org.tensorflow.op.data: The RewriteDataset operation
RewriteDataset(Operation) - Constructor for class org.tensorflow.op.data.RewriteDataset
RewriteDataset.Inputs - Class in org.tensorflow.op.data
rewriteName - Variable in class org.tensorflow.op.data.RewriteDataset.Inputs: The rewriteName input
RewriterConfig - Class in org.tensorflow.proto: Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
RewriterConfig.Builder - Class in org.tensorflow.proto: Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
RewriterConfig.CpuLayout - Enum in org.tensorflow.proto: Enum for layout conversion between NCHW and NHWC on CPU.
RewriterConfig.CustomGraphOptimizer - Class in org.tensorflow.proto: Message to describe custom graph optimizer and its parameters
RewriterConfig.CustomGraphOptimizer.Builder - Class in org.tensorflow.proto: Message to describe custom graph optimizer and its parameters
RewriterConfig.CustomGraphOptimizerOrBuilder - Interface in org.tensorflow.proto
RewriterConfig.MemOptType - Enum in org.tensorflow.proto: Protobuf enum tensorflow.RewriterConfig.MemOptType
RewriterConfig.NumIterationsType - Enum in org.tensorflow.proto: Enum controlling the number of times to run optimizers.
RewriterConfig.Toggle - Enum in org.tensorflow.proto: Protobuf enum tensorflow.RewriterConfig.Toggle
RewriterConfigOrBuilder - Interface in org.tensorflow.proto
RewriterConfigProtos - Class in org.tensorflow.proto
rfft(Operand, Operand, Class) - Method in class org.tensorflow.op.SignalOps: Real-valued fast Fourier transform.
Rfft - Class in org.tensorflow.op.signal: Real-valued fast Fourier transform.
Rfft(Operation) - Constructor for class org.tensorflow.op.signal.Rfft
Rfft.Inputs - Class in org.tensorflow.op.signal
rfft2d(Operand, Operand, Class) - Method in class org.tensorflow.op.SignalOps: 2D real-valued fast Fourier transform.
Rfft2d - Class in org.tensorflow.op.signal: 2D real-valued fast Fourier transform.
Rfft2d(Operation) - Constructor for class org.tensorflow.op.signal.Rfft2d
Rfft2d.Inputs - Class in org.tensorflow.op.signal
rfft3d(Operand, Operand, Class) - Method in class org.tensorflow.op.SignalOps: 3D real-valued fast Fourier transform.
Rfft3d - Class in org.tensorflow.op.signal: 3D real-valued fast Fourier transform.
Rfft3d(Operation) - Constructor for class org.tensorflow.op.signal.Rfft3d
Rfft3d.Inputs - Class in org.tensorflow.op.signal
rfftNd(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.SignalOps: ND fast real Fourier transform.
RfftNd - Class in org.tensorflow.op.signal: ND fast real Fourier transform.
RfftNd(Operation) - Constructor for class org.tensorflow.op.signal.RfftNd
RfftNd.Inputs - Class in org.tensorflow.op.signal
rgbToHsv(Operand) - Method in class org.tensorflow.op.ImageOps: Converts one or more images from RGB to HSV.
RgbToHsv<T> - Class in org.tensorflow.op.image: Converts one or more images from RGB to HSV.
RgbToHsv(Operation) - Constructor for class org.tensorflow.op.image.RgbToHsv
RgbToHsv.Inputs<T> - Class in org.tensorflow.op.image
rho - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Decay factor.
rho - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Decay factor.
rho - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: Decay factor.
rho - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: Decay factor.
rho - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Decay rate.
RHO_DEFAULT - Static variable in class org.tensorflow.framework.optimizers.AdaDelta
rhs - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: Shape is [..., M, K].
rhs - Variable in class org.tensorflow.op.linalg.Solve.Inputs: Shape is [..., M, K].
rhs - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: Shape is [..., M, K].
rhs - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: Tensor of shape [..., M, N], representing MxN matrices to the right of multiplication.
rhs - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: Tensor of shape [..., M, K], representing K right-hand sides per each left-hand side.
rhs - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: Must be a quantized tensor.
rhs - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: Must be a quantized tensor, same rank as lhs.
rhs - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: Must be a quantized Tensor of Trhs, same rank as lhs.
rhs - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: Must be a 2D Tensor of Tin.
rhs - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: Must be a 2D Tensor of Trhs.
rhsDilation - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The dilation factor to apply in each spatial dimension of rhs.
rhsDilation - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The dilation factor to apply in each spatial dimension of rhs.
rhsDilation(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the rhsDilation option.
rhsDilation(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the rhsDilation option.
rhsDilation(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the rhsDilation option.
rhsDilation(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the rhsDilation option.
rhsDilation(List) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the rhsDilation option.
rhsDilation(List) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the rhsDilation option.
rhsDilation(List) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the rhsDilation option.
rhsDilation(List) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the rhsDilation option.
rhsQuantizationAxis - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
rhsQuantizationAxis - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
rhsQuantizationAxis - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
rhsQuantizationAxis - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
rhsQuantizationAxis - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
rhsQuantizationAxis(Long) - Method in class org.tensorflow.op.math.UniformQuantizedAdd.Options: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.math.UniformQuantizedAdd: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformQuantizedDot.Options: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformQuantizedDot: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Options: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid: Sets the rhsQuantizationAxis option.
rhsQuantizationMaxVal - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The max value of the quantized data stored in rhs.
rhsQuantizationMaxVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The max value of the quantized data stored in rhs.
rhsQuantizationMaxVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The max value of the quantized data stored in rhs.
rhsQuantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The max value of the quantized data stored in rhs.
rhsQuantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The max value of the quantized data stored in rhs.
rhsQuantizationMinVal - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The min value of the quantized data stored in rhs.
rhsQuantizationMinVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The min value of the quantized data stored in rhs.
rhsQuantizationMinVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The min value of the quantized data stored in rhs.
rhsQuantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The min value of the quantized data stored in rhs.
rhsQuantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The min value of the quantized data stored in rhs.
rhsScales - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The float value(s) used as scale factors when quantizing the original data that rhs represents.
rhsScales - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The float value(s) used as scale factors when quantizing the original data that rhs represents.
rhsScales - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The float value(s) used as scale factors when quantizing the original data that rhs represents.
rhsScales - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The float value(s) used as scale when quantizing original data that rhs represents.
rhsScales - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The float value(s) used as scale when quantizing original data that rhs represents.
rhsZeroPoints - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The int32 value(s) used as zero points when quantizing original data that rhs represents.
rhsZeroPoints - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The int32 value(s) used as zero points when quantizing original data that rhs represents.
rhsZeroPoints - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The int32 value(s) used as zero_point when quantizing original data that rhs represents.
rhsZeroPoints - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The int32 value(s) used as zero_point when quantizing original data that rhs represents.
rhsZeroPoints - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The int32 value(s) used as zero_point when quantizing original data that rhs represents.
rightPad - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The string to use to pad the right side of the ngram sequence.
rightShift(Operand, Operand) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise right-shift of x and y.
RightShift<T> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise right-shift of x and y.
RightShift(Operation) - Constructor for class org.tensorflow.op.bitwise.RightShift
RightShift.Inputs<T> - Class in org.tensorflow.op.bitwise
rint(Operand) - Method in class org.tensorflow.op.MathOps: Returns element-wise integer closest to x.
Rint<T> - Class in org.tensorflow.op.math: Returns element-wise integer closest to x.
Rint(Operation) - Constructor for class org.tensorflow.op.math.Rint
Rint.Inputs<T> - Class in org.tensorflow.op.math
RMS - Static variable in class org.tensorflow.framework.optimizers.RMSProp
RMSProp - Class in org.tensorflow.framework.optimizers: Optimizer that implements the RMSProp algorithm.
RMSProp(Graph) - Constructor for class org.tensorflow.framework.optimizers.RMSProp: Creates an RMSPRrop Optimizer
RMSProp(Graph, float) - Constructor for class org.tensorflow.framework.optimizers.RMSProp: Creates an RMSPRrop Optimizer
RMSProp(Graph, float, float, float, float, boolean) - Constructor for class org.tensorflow.framework.optimizers.RMSProp: Creates an RMSPRrop Optimizer
RMSProp(Graph, String, float) - Constructor for class org.tensorflow.framework.optimizers.RMSProp: Creates an RMSPRrop Optimizer
RMSProp(Graph, String, float, float, float, float, boolean) - Constructor for class org.tensorflow.framework.optimizers.RMSProp: Creates an RMSPRrop Optimizer
RMSPROP - Enum constant in enum org.tensorflow.framework.optimizers.Optimizers
rngReadAndSkip(Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Advance the counter of a counter-based RNG.
RngReadAndSkip - Class in org.tensorflow.op.random: Advance the counter of a counter-based RNG.
RngReadAndSkip(Operation) - Constructor for class org.tensorflow.op.random.RngReadAndSkip
RngReadAndSkip.Inputs - Class in org.tensorflow.op.random
rngSkip(Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Advance the counter of a counter-based RNG.
RngSkip - Class in org.tensorflow.op.random: Advance the counter of a counter-based RNG.
RngSkip(Operation) - Constructor for class org.tensorflow.op.random.RngSkip
RngSkip.Inputs - Class in org.tensorflow.op.random
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The rnnMode attribute
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The rnnMode attribute
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The rnnMode attribute
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The rnnMode attribute
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The rnnMode attribute
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the rnnMode option.
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the rnnMode option.
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the rnnMode option.
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the rnnMode option.
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the rnnMode option.
ROC - Enum constant in enum org.tensorflow.framework.metrics.AUCCurve: Receiver Operator Characteristic curve
roiProbabilities() - Method in class org.tensorflow.op.image.GenerateBoundingBoxProposals: Gets roiProbabilities.
rois() - Method in class org.tensorflow.op.image.GenerateBoundingBoxProposals: Gets rois.
roll(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Rolls the elements of a tensor along an axis.
Roll<T> - Class in org.tensorflow.op.core: Rolls the elements of a tensor along an axis.
Roll(Operation) - Constructor for class org.tensorflow.op.core.Roll
Roll.Inputs<T> - Class in org.tensorflow.op.core
RootMeanSquaredError<T> - Class in org.tensorflow.framework.metrics: Computes root mean squared error metric between labels and predictions .
RootMeanSquaredError(long, Class) - Constructor for class org.tensorflow.framework.metrics.RootMeanSquaredError: Creates a RootMeanSquaredError metric with a name of Class.getSimpleName()
RootMeanSquaredError(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.RootMeanSquaredError: Creates a RootMeanSquaredError metric
round(Operand) - Method in class org.tensorflow.op.MathOps: Rounds the values of a tensor to the nearest integer, element-wise.
Round<T> - Class in org.tensorflow.op.math: Rounds the values of a tensor to the nearest integer, element-wise.
Round(Operation) - Constructor for class org.tensorflow.op.math.Round
Round.Inputs<T> - Class in org.tensorflow.op.math
roundMode - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The roundMode attribute
roundMode - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: The 'round_mode' attribute controls which rounding tie-breaking algorithm is used when rounding float values to their quantized equivalents.
roundMode(String) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the roundMode option.
roundMode(String) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the roundMode option.
roundMode(String) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the roundMode option.
roundMode(String) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the roundMode option.
rounds - Variable in class org.tensorflow.op.core.RandomIndexShuffle.Inputs: The number of rounds to use the in block cipher.
rounds(Long) - Method in class org.tensorflow.op.core.RandomIndexShuffle.Options: Sets the rounds option.
rounds(Long) - Static method in class org.tensorflow.op.core.RandomIndexShuffle: Sets the rounds option.
ROW_PARTITION_SPEC - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: RowPartitionSpec from ragged/row_partition.py
ROW_PARTITION_SPEC_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: RowPartitionSpec from ragged/row_partition.py
rowIds - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The rowIds input
rowIds - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The rowIds input
rowIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The rowIds input
rowIds() - Method in class org.tensorflow.op.tpu.ConvertToCooTensor: Gets rowIds.
rowIdsList - Variable in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors.Inputs: The rowIdsList input
rowIdsList - Variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs: The rowIdsList input
rowIdsList() - Method in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors: Gets rowIdsList.
rowOffset - Variable in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors.Inputs: The rowOffset attribute
rowPartitionTensors - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The rowPartitionTensors input
rowPartitionTypes - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The types of the row partition tensors.
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The rowPointers input
rowPointers() - Method in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor: Gets rowPointers.
rowPointers() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets rowPointers.
rowPointers() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmul: Gets rowPointers.
rowPointersUnpaddedSize() - Method in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor: Gets rowPointersUnpaddedSize.
rowPointersUnpaddedSize() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets rowPointersUnpaddedSize.
rowPoolingSequence - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: row pooling sequence, form pooling region with col_pooling_sequence.
rowPoolingSequence - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: row pooling sequence, form pooling region with col_pooling_sequence.
rowPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalAvgPool: Gets rowPoolingSequence. row pooling sequence, needed to calculate gradient.
rowPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalMaxPool: Gets rowPoolingSequence. row pooling sequence, needed to calculate gradient.
rowPtrs() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: Gets rowPtrs.
rowRemapping - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: An int Tensor of row remappings (generally created by generate_vocab_remapping).
rowShape - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: A vector representing the dense shape of each row in the produced SparseTensor.
rowShape - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: A vector representing the dense shape of each row in the produced SparseTensor.
rowSplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: Outermost row-splits that were used as input to the RaggedTensorToVariant op.
rowSplits() - Method in class org.tensorflow.op.strings.UnicodeDecode: Gets rowSplits.
rowSplits() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Gets rowSplits.
RPC_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
RpcOptions - Class in org.tensorflow.proto.dummy
RpcOptions - Class in org.tensorflow.proto
RpcOptions.RPCOptions - Class in org.tensorflow.proto: RPC options for distributed runtime.
RpcOptions.RPCOptions.Builder - Class in org.tensorflow.proto: RPC options for distributed runtime.
RpcOptions.RPCOptionsOrBuilder - Interface in org.tensorflow.proto
rsqrt(Operand) - Method in class org.tensorflow.op.MathOps: Computes reciprocal of square root of x element-wise.
Rsqrt<T> - Class in org.tensorflow.op.math: Computes reciprocal of square root of x element-wise.
Rsqrt(Operation) - Constructor for class org.tensorflow.op.math.Rsqrt
Rsqrt.Inputs<T> - Class in org.tensorflow.op.math
rsqrtGrad(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the gradient for the rsqrt of x wrt its input.
RsqrtGrad<T> - Class in org.tensorflow.op.math: Computes the gradient for the rsqrt of x wrt its input.
RsqrtGrad(Operation) - Constructor for class org.tensorflow.op.math.RsqrtGrad
RsqrtGrad.Inputs<T> - Class in org.tensorflow.op.math
rtDenseValues - Variable in class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs: The flat_values for the RaggedTensor.
rtDenseValues - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: A Tensor representing the values of the input RaggedTensor.
rtDenseValues() - Method in class org.tensorflow.op.ragged.RaggedRange: Gets rtDenseValues.
rtNestedSplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs: The row_splits for the RaggedTensor.
rtNestedSplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: A list of one or more Tensors representing the splits of the input RaggedTensor.
rtNestedSplits() - Method in class org.tensorflow.op.ragged.RaggedRange: Gets rtNestedSplits.
Rtype - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The Rtype attribute
run() - Method in class org.tensorflow.Session.Runner: Execute the graph fragments necessary to compute all requested fetches.
run(String) - Method in class org.tensorflow.Session: Executes an operation in the graph with the given name.
run(Op) - Method in class org.tensorflow.Session: Executes an operation in the graph.
run(Signature, Map) - Method in class org.tensorflow.Session: Create and call a function, returning the results.
RUN_CONFIGURATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TestResults
RUN_HANDLER_POOL_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunOptions.Experimental
RUN_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
RUN_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TaggedRunMetadata
RUN_MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TestResults
run_options - Variable in class org.tensorflow.internal.c_api.AbstractTF_Session
RUN_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CallableOptions
RUN_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TestResults
runAndFetchMetadata() - Method in class org.tensorflow.Session.Runner: Execute graph fragments to compute requested fetches and return metadata about the run.
RunConfiguration - Class in org.tensorflow.proto: Run-specific items such as arguments to the test / benchmark.
RunConfiguration.Builder - Class in org.tensorflow.proto: Run-specific items such as arguments to the test / benchmark.
RunConfigurationOrBuilder - Interface in org.tensorflow.proto
RunMetadata - Class in org.tensorflow.proto: Metadata output (i.e., non-Tensor) for a single Run() call.
RunMetadata.Builder - Class in org.tensorflow.proto: Metadata output (i.e., non-Tensor) for a single Run() call.
RunMetadata.FunctionGraphs - Class in org.tensorflow.proto: Protobuf type tensorflow.RunMetadata.FunctionGraphs
RunMetadata.FunctionGraphs.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.RunMetadata.FunctionGraphs
RunMetadata.FunctionGraphsOrBuilder - Interface in org.tensorflow.proto
RunMetadataOrBuilder - Interface in org.tensorflow.proto
runName - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The runName input
runner() - Method in class org.tensorflow.Session: Create a Runner to execute graph operations and evaluate Tensors.
Runner() - Constructor for class org.tensorflow.Session.Runner
RunOptions - Class in org.tensorflow.proto: Options for a single Run() call.
RunOptions.Builder - Class in org.tensorflow.proto: Options for a single Run() call.
RunOptions.Experimental - Class in org.tensorflow.proto: Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
RunOptions.Experimental.Builder - Class in org.tensorflow.proto: Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
RunOptions.Experimental.RunHandlerPoolOptions - Class in org.tensorflow.proto: Options for run handler thread pool.
RunOptions.Experimental.RunHandlerPoolOptions.Builder - Class in org.tensorflow.proto: Options for run handler thread pool.
RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder - Interface in org.tensorflow.proto
RunOptions.ExperimentalOrBuilder - Interface in org.tensorflow.proto
RunOptions.TraceLevel - Enum in org.tensorflow.proto: TODO(pbar) Turn this into a TraceOptions proto which allows tracing to be controlled in a more orthogonal manner?
RunOptionsOrBuilder - Interface in org.tensorflow.proto

S

s() - Method in class org.tensorflow.op.linalg.BatchSvd: Gets s.
s() - Method in class org.tensorflow.op.linalg.Svd: Gets s.
S - Enum constant in enum org.tensorflow.proto.AttrValue.ValueCase
S - Enum constant in enum org.tensorflow.proto.FullTypeDef.AttrCase
S - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The S attribute
S_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue.ListValue
S_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue
S_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FullTypeDef
s0 - Variable in class org.tensorflow.op.core.BroadcastDynamicShape.Inputs: The s0 input
s0 - Variable in class org.tensorflow.op.core.BroadcastGradientArgs.Inputs: The s0 input
s1 - Variable in class org.tensorflow.op.core.BroadcastDynamicShape.Inputs: The s1 input
s1 - Variable in class org.tensorflow.op.core.BroadcastGradientArgs.Inputs: The s1 input
salt - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: Specify the salt that will be used by the siphash function.
sample - Variable in class org.tensorflow.op.random.RandomGammaGrad.Inputs: The sample input
SAMPLE_RATE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Audio
sampleCount - Variable in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors.Inputs: The sampleCount attribute
sampleCount - Variable in class org.tensorflow.op.tpu.ConvertToCooTensor.Inputs: The sampleCount attribute
sampleCount - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The sampleCount attribute
sampleCount - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The sampleCount attribute
sampleCount - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The sampleCount attribute
sampleCountList - Variable in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors.Inputs: The sampleCountList attribute
sampleCountList - Variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs: The sampleCountList attribute
sampleCountPerSc - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The sampleCountPerSc attribute
sampledCandidates - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: The sampled_candidates output of CandidateSampler.
sampledCandidates() - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.random.AllCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.random.LogUniformCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.random.UniformCandidateSampler: Gets sampledCandidates.
sampledExpectedCount() - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.random.AllCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.random.LogUniformCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.random.UniformCandidateSampler: Gets sampledExpectedCount.
sampleDistortedBoundingBox(Operand, Operand, Operand, SampleDistortedBoundingBox.Options...) - Method in class org.tensorflow.op.ImageOps: Generate a single randomly distorted bounding box for an image.
SampleDistortedBoundingBox<T> - Class in org.tensorflow.op.image: Generate a single randomly distorted bounding box for an image.
SampleDistortedBoundingBox(Operation) - Constructor for class org.tensorflow.op.image.SampleDistortedBoundingBox
SampleDistortedBoundingBox.Inputs<T> - Class in org.tensorflow.op.image
SampleDistortedBoundingBox.Options - Class in org.tensorflow.op.image: Optional attributes for SampleDistortedBoundingBox
sampleIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A list of rank 1 Tensors specifying the training example and feature to which the corresponding embedding_indices and aggregation_weights values belong. sample_indices[i] must equal b * nf + f, where nf is the number of features from the corresponding table, f is in [0, nf), and b is in [0, batch size).
sampleIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of rank 1 Tensors specifying the training example to which the corresponding embedding_indices and aggregation_weights values belong.
sampleIndicesOrRowSplits - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of rank 2 Tensors specifying the training example to which the corresponding embedding_indices and aggregation_weights values belong.
sampleIndicesOrRowSplits - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of rank 2 Tensors specifying the training example to which the corresponding embedding_indices and aggregation_weights values belong.
sampleRate - Variable in class org.tensorflow.op.audio.EncodeWav.Inputs: Scalar containing the sample frequency.
sampleRate - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: How many samples per second the source audio used.
sampleRate - Variable in class org.tensorflow.op.summary.AudioSummary.Inputs: The sample rate of the signal in hertz.
sampleRate - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The sampleRate input
sampleRate() - Method in class org.tensorflow.op.audio.DecodeWav: Gets sampleRate.
samples() - Method in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization: Gets samples.
samples() - Method in class org.tensorflow.op.math.SobolSample: Gets samples.
sampleSplits - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The sampleSplits input
sampleSplits - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of rank 1 Tensors specifying the break points for splitting embedding_indices and aggregation_weights into rows.
samplingDataset(Operand, Operand, Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: Creates a dataset that takes a Bernoulli sample of the contents of another dataset.
SamplingDataset - Class in org.tensorflow.op.data: Creates a dataset that takes a Bernoulli sample of the contents of another dataset.
SamplingDataset(Operation) - Constructor for class org.tensorflow.op.data.SamplingDataset
SamplingDataset.Inputs - Class in org.tensorflow.op.data
sanitize - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Whether to sanitize the result or not.
sanitize(Boolean) - Method in class org.tensorflow.op.core.DecodeProto.Options: Sets the sanitize option.
sanitize(Boolean) - Static method in class org.tensorflow.op.core.DecodeProto: Sets the sanitize option.
save(String) - Method in class org.tensorflow.Session: Saves the actual state of the variables of this session's graph.
save(String) - Method in class org.tensorflow.SessionFunction: Save this function using SavedModelBundle.
save(Operand, Operand, Operand, Iterable) - Method in class org.tensorflow.op.TrainOps: Saves tensors in V2 checkpoint format.
Save - Class in org.tensorflow.op.train: Saves tensors in V2 checkpoint format.
Save(Operation) - Constructor for class org.tensorflow.op.train.Save
SAVE_FUNCTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
SAVE_SLICE_INFO_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VariableDef
SAVE_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SaverDef
Save.Inputs - Class in org.tensorflow.op.train
SAVEABLE_OBJECTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
SAVED_MODEL_CHECKSUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FingerprintDef
SAVED_MODEL_SCHEMA_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedModel
SAVED_OBJECT_GRAPH_HASH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FingerprintDef
saveDataset(Operand, Operand, Iterable, ConcreteFunction, List, List, SaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: The SaveDatasetV2 operation
SaveDataset - Class in org.tensorflow.op.data: The SaveDatasetV2 operation
SaveDataset(Operation) - Constructor for class org.tensorflow.op.data.SaveDataset
SaveDataset.Inputs - Class in org.tensorflow.op.data
SaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SaveDataset
SavedModel - Class in org.tensorflow.proto: SavedModel is the high level serialization format for TensorFlow Models.
SavedModel.Builder - Class in org.tensorflow.proto: SavedModel is the high level serialization format for TensorFlow Models.
SavedModelBundle - Class in org.tensorflow: SavedModelBundle represents a model loaded from storage.
SavedModelBundle.Exporter - Class in org.tensorflow: Options for exporting a SavedModel.
SavedModelBundle.Loader - Class in org.tensorflow: Options for loading a SavedModel.
SavedModelOrBuilder - Interface in org.tensorflow.proto
SavedModelProtos - Class in org.tensorflow.proto
SavedObjectGraphOuterClass - Class in org.tensorflow.proto
SavedObjectGraphOuterClass.CapturedTensor - Class in org.tensorflow.proto: Protobuf type tensorflow.CapturedTensor
SavedObjectGraphOuterClass.CapturedTensor.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.CapturedTensor
SavedObjectGraphOuterClass.CapturedTensorOrBuilder - Interface in org.tensorflow.proto
SavedObjectGraphOuterClass.FunctionSpec - Class in org.tensorflow.proto: Represents `FunctionSpec` used in `Function`.
SavedObjectGraphOuterClass.FunctionSpec.Builder - Class in org.tensorflow.proto: Represents `FunctionSpec` used in `Function`.
SavedObjectGraphOuterClass.FunctionSpec.JitCompile - Enum in org.tensorflow.proto: Whether the function should be compiled by XLA.
SavedObjectGraphOuterClass.FunctionSpecOrBuilder - Interface in org.tensorflow.proto
SavedObjectGraphOuterClass.SaveableObject - Class in org.tensorflow.proto: Protobuf type tensorflow.SaveableObject
SavedObjectGraphOuterClass.SaveableObject.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.SaveableObject
SavedObjectGraphOuterClass.SaveableObjectOrBuilder - Interface in org.tensorflow.proto
SavedObjectGraphOuterClass.SavedAsset - Class in org.tensorflow.proto: A SavedAsset points to an asset in the MetaGraph.
SavedObjectGraphOuterClass.SavedAsset.Builder - Class in org.tensorflow.proto: A SavedAsset points to an asset in the MetaGraph.
SavedObjectGraphOuterClass.SavedAssetOrBuilder - Interface in org.tensorflow.proto
SavedObjectGraphOuterClass.SavedBareConcreteFunction - Class in org.tensorflow.proto: Protobuf type tensorflow.SavedBareConcreteFunction
SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.SavedBareConcreteFunction
SavedObjectGraphOuterClass.SavedBareConcreteFunctionOrBuilder - Interface in org.tensorflow.proto
SavedObjectGraphOuterClass.SavedConcreteFunction - Class in org.tensorflow.proto: Stores low-level information about a concrete function.
SavedObjectGraphOuterClass.SavedConcreteFunction.Builder - Class in org.tensorflow.proto: Stores low-level information about a concrete function.
SavedObjectGraphOuterClass.SavedConcreteFunctionOrBuilder - Interface in org.tensorflow.proto
SavedObjectGraphOuterClass.SavedConstant - Class in org.tensorflow.proto: Protobuf type tensorflow.SavedConstant
SavedObjectGraphOuterClass.SavedConstant.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.SavedConstant
SavedObjectGraphOuterClass.SavedConstantOrBuilder - Interface in org.tensorflow.proto
SavedObjectGraphOuterClass.SavedFunction - Class in org.tensorflow.proto: A function with multiple signatures, possibly with non-Tensor arguments.
SavedObjectGraphOuterClass.SavedFunction.Builder - Class in org.tensorflow.proto: A function with multiple signatures, possibly with non-Tensor arguments.
SavedObjectGraphOuterClass.SavedFunctionOrBuilder - Interface in org.tensorflow.proto
SavedObjectGraphOuterClass.SavedObject - Class in org.tensorflow.proto: Protobuf type tensorflow.SavedObject
SavedObjectGraphOuterClass.SavedObject.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.SavedObject
SavedObjectGraphOuterClass.SavedObject.KindCase - Enum in org.tensorflow.proto
SavedObjectGraphOuterClass.SavedObjectGraph - Class in org.tensorflow.proto: Protobuf type tensorflow.SavedObjectGraph
SavedObjectGraphOuterClass.SavedObjectGraph.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.SavedObjectGraph
SavedObjectGraphOuterClass.SavedObjectGraphOrBuilder - Interface in org.tensorflow.proto
SavedObjectGraphOuterClass.SavedObjectOrBuilder - Interface in org.tensorflow.proto
SavedObjectGraphOuterClass.SavedResource - Class in org.tensorflow.proto: A SavedResource represents a TF object that holds state during its lifetime.
SavedObjectGraphOuterClass.SavedResource.Builder - Class in org.tensorflow.proto: A SavedResource represents a TF object that holds state during its lifetime.
SavedObjectGraphOuterClass.SavedResourceOrBuilder - Interface in org.tensorflow.proto
SavedObjectGraphOuterClass.SavedUserObject - Class in org.tensorflow.proto: A SavedUserObject is an object (in the object-oriented language of the TensorFlow program) of some user- or framework-defined class other than those handled specifically by the other kinds of SavedObjects.
SavedObjectGraphOuterClass.SavedUserObject.Builder - Class in org.tensorflow.proto: A SavedUserObject is an object (in the object-oriented language of the TensorFlow program) of some user- or framework-defined class other than those handled specifically by the other kinds of SavedObjects.
SavedObjectGraphOuterClass.SavedUserObjectOrBuilder - Interface in org.tensorflow.proto
SavedObjectGraphOuterClass.SavedVariable - Class in org.tensorflow.proto: Represents a Variable that is initialized by loading the contents from the checkpoint.
SavedObjectGraphOuterClass.SavedVariable.Builder - Class in org.tensorflow.proto: Represents a Variable that is initialized by loading the contents from the checkpoint.
SavedObjectGraphOuterClass.SavedVariableOrBuilder - Interface in org.tensorflow.proto
SavedSlice - Class in org.tensorflow.proto: Saved tensor slice: it stores the name of the tensors, the slice, and the raw data.
SavedSlice.Builder - Class in org.tensorflow.proto: Saved tensor slice: it stores the name of the tensors, the slice, and the raw data.
SavedSliceMeta - Class in org.tensorflow.proto: Metadata describing the set of slices of the same tensor saved in a checkpoint file.
SavedSliceMeta.Builder - Class in org.tensorflow.proto: Metadata describing the set of slices of the same tensor saved in a checkpoint file.
SavedSliceMetaOrBuilder - Interface in org.tensorflow.proto
SavedSliceOrBuilder - Interface in org.tensorflow.proto
SavedTensorSliceMeta - Class in org.tensorflow.proto: Metadata describing the set of tensor slices saved in a checkpoint file.
SavedTensorSliceMeta.Builder - Class in org.tensorflow.proto: Metadata describing the set of tensor slices saved in a checkpoint file.
SavedTensorSliceMetaOrBuilder - Interface in org.tensorflow.proto
SavedTensorSliceProtos - Class in org.tensorflow.proto
SavedTensorSlices - Class in org.tensorflow.proto: Each record in a v3 checkpoint file is a serialized SavedTensorSlices message.
SavedTensorSlices.Builder - Class in org.tensorflow.proto: Each record in a v3 checkpoint file is a serialized SavedTensorSlices message.
SavedTensorSlicesOrBuilder - Interface in org.tensorflow.proto
SAVER_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef
SaverDef - Class in org.tensorflow.proto: Protocol buffer representing the configuration of a Saver.
SaverDef.Builder - Class in org.tensorflow.proto: Protocol buffer representing the configuration of a Saver.
SaverDef.CheckpointFormatVersion - Enum in org.tensorflow.proto: A version number that identifies a different on-disk checkpoint format.
SaverDefOrBuilder - Interface in org.tensorflow.proto
SaverProtos - Class in org.tensorflow.proto
SaveSliceInfoDef - Class in org.tensorflow.proto: Protobuf type tensorflow.SaveSliceInfoDef
SaveSliceInfoDef.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.SaveSliceInfoDef
SaveSliceInfoDefOrBuilder - Interface in org.tensorflow.proto
saveSlices(Operand, Operand, Operand, Iterable) - Method in class org.tensorflow.op.TrainOps: Saves input tensors slices to disk.
SaveSlices - Class in org.tensorflow.op.train: Saves input tensors slices to disk.
SaveSlices(Operation) - Constructor for class org.tensorflow.op.train.SaveSlices
SaveSlices.Inputs - Class in org.tensorflow.op.train
scalarOf(boolean) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor for storing a single boolean value.
scalarOf(byte) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor for storing a single byte value.
scalarOf(double) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor for storing a single double value.
scalarOf(float) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor for storing a single float value.
scalarOf(float) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor for storing a single float value.
scalarOf(float) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor for storing a single float value.
scalarOf(int) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor for storing a single int value.
scalarOf(long) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor for storing a single long value.
scalarOf(short) - Static method in interface org.tensorflow.types.TUint16: Allocates a new tensor for storing a single short value.
scalarOf(String) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor for storing a string scalar.
scalarOf(Scope, boolean) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single boolean element.
scalarOf(Scope, byte) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single byte element.
scalarOf(Scope, double) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single double element.
scalarOf(Scope, float) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single float element.
scalarOf(Scope, int) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single int element.
scalarOf(Scope, long) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single long element.
scalarOf(Scope, String) - Static method in class org.tensorflow.op.core.Constant: Creates a String constant using the default, UTF-8 encoding.
scalarOf(Scope, Charset, String) - Static method in class org.tensorflow.op.core.Constant: Creates a String constant using a specified encoding.
scalarSummary(Operand, Operand) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with scalar values.
ScalarSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with scalar values.
ScalarSummary(Operation) - Constructor for class org.tensorflow.op.summary.ScalarSummary
ScalarSummary.Inputs - Class in org.tensorflow.op.summary
scale - Variable in class org.tensorflow.op.image.AdjustSaturation.Inputs: A float scale to add to the saturation.
scale - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The scale input
scale - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The scale input
scale - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 1D Tensor for scaling factor, to scale the normalized x.
scale - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A 1D Tensor for scaling factor, to scale the normalized x.
SCALE - Static variable in class org.tensorflow.framework.initializers.Glorot
SCALE - Static variable in class org.tensorflow.framework.initializers.He
SCALE_DEFAULT - Static variable in class org.tensorflow.framework.initializers.VarianceScaling
scaleAfterNormalization - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A bool indicating whether the resulted tensor needs to be multiplied with gamma.
scaleAfterNormalization - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A bool indicating whether the resulted tensor needs to be multiplied with gamma.
scaleAfterNormalization - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A bool indicating whether the resulted tensor needs to be multiplied with gamma.
scaleAndTranslate(Operand, Operand, Operand, Operand, ScaleAndTranslate.Options...) - Method in class org.tensorflow.op.ImageOps: The ScaleAndTranslate operation
ScaleAndTranslate - Class in org.tensorflow.op.image: The ScaleAndTranslate operation
ScaleAndTranslate(Operation) - Constructor for class org.tensorflow.op.image.ScaleAndTranslate
ScaleAndTranslate.Inputs - Class in org.tensorflow.op.image
ScaleAndTranslate.Options - Class in org.tensorflow.op.image: Optional attributes for ScaleAndTranslate
scaleAndTranslateGrad(Operand, Operand, Operand, Operand, ScaleAndTranslateGrad.Options...) - Method in class org.tensorflow.op.ImageOps: The ScaleAndTranslateGrad operation
ScaleAndTranslateGrad<T> - Class in org.tensorflow.op.image: The ScaleAndTranslateGrad operation
ScaleAndTranslateGrad(Operation) - Constructor for class org.tensorflow.op.image.ScaleAndTranslateGrad
ScaleAndTranslateGrad.Inputs<T> - Class in org.tensorflow.op.image
ScaleAndTranslateGrad.Options - Class in org.tensorflow.op.image: Optional attributes for ScaleAndTranslateGrad
scaleBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets scaleBackprop.
scales - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The float value(s) used as scale(s) when quantizing operand, min and max.
scales - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: The float value(s) used as scale(s) when quantizing original data that input represents.
scales - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: The float value(s) to use as scale(s) to quantize input.
scanDataset(Operand, Iterable, Iterable, ConcreteFunction, List, List, ScanDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset successively reduces f over the elements of input_dataset.
scanDataset(Operand, Iterable, Iterable, ConcreteFunction, List, List, ScanDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset successively reduces f over the elements of input_dataset.
ScanDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset successively reduces f over the elements of input_dataset.
ScanDataset - Class in org.tensorflow.op.data: Creates a dataset successively reduces f over the elements of input_dataset.
ScanDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ScanDataset
ScanDataset(Operation) - Constructor for class org.tensorflow.op.data.ScanDataset
ScanDataset.Inputs - Class in org.tensorflow.op.data.experimental
ScanDataset.Inputs - Class in org.tensorflow.op.data
ScanDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for ScanDataset
ScanDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ScanDataset
scatterAdd(Operand, Operand, Operand, ScatterAdd.Options...) - Method in class org.tensorflow.op.Ops: Adds sparse updates to a variable reference.
ScatterAdd<T> - Class in org.tensorflow.op.core: Adds sparse updates to a variable reference.
ScatterAdd(Operation) - Constructor for class org.tensorflow.op.core.ScatterAdd
ScatterAdd.Inputs<T> - Class in org.tensorflow.op.core
ScatterAdd.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterAdd
scatterDiv(Operand, Operand, Operand, ScatterDiv.Options...) - Method in class org.tensorflow.op.Ops: Divides a variable reference by sparse updates.
ScatterDiv<T> - Class in org.tensorflow.op.core: Divides a variable reference by sparse updates.
ScatterDiv(Operation) - Constructor for class org.tensorflow.op.core.ScatterDiv
ScatterDiv.Inputs<T> - Class in org.tensorflow.op.core
ScatterDiv.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterDiv
scatterMax(Operand, Operand, Operand, ScatterMax.Options...) - Method in class org.tensorflow.op.Ops: Reduces sparse updates into a variable reference using the max operation.
ScatterMax<T> - Class in org.tensorflow.op.core: Reduces sparse updates into a variable reference using the max operation.
ScatterMax(Operation) - Constructor for class org.tensorflow.op.core.ScatterMax
ScatterMax.Inputs<T> - Class in org.tensorflow.op.core
ScatterMax.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterMax
scatterMin(Operand, Operand, Operand, ScatterMin.Options...) - Method in class org.tensorflow.op.Ops: Reduces sparse updates into a variable reference using the min operation.
ScatterMin<T> - Class in org.tensorflow.op.core: Reduces sparse updates into a variable reference using the min operation.
ScatterMin(Operation) - Constructor for class org.tensorflow.op.core.ScatterMin
ScatterMin.Inputs<T> - Class in org.tensorflow.op.core
ScatterMin.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterMin
scatterMul(Operand, Operand, Operand, ScatterMul.Options...) - Method in class org.tensorflow.op.Ops: Multiplies sparse updates into a variable reference.
ScatterMul<T> - Class in org.tensorflow.op.core: Multiplies sparse updates into a variable reference.
ScatterMul(Operation) - Constructor for class org.tensorflow.op.core.ScatterMul
ScatterMul.Inputs<T> - Class in org.tensorflow.op.core
ScatterMul.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterMul
scatterNd(Operand, Operand, Operand, ScatterNd.Options...) - Method in class org.tensorflow.op.Ops: Scatters updates into a tensor of shape shape according to indices.
ScatterNd - Class in org.tensorflow.op.core: Scatters updates into a tensor of shape shape according to indices.
ScatterNd(Operation) - Constructor for class org.tensorflow.op.core.ScatterNd
ScatterNd.Inputs<T,U> - Class in org.tensorflow.op.core
ScatterNd.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNd
scatterNdAdd(Operand, Operand, Operand, ScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse addition to individual values or slices in a Variable.
ScatterNdAdd<T> - Class in org.tensorflow.op.core: Applies sparse addition to individual values or slices in a Variable.
ScatterNdAdd(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdAdd
ScatterNdAdd.Inputs<T> - Class in org.tensorflow.op.core
ScatterNdAdd.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdAdd
scatterNdMax(Operand, Operand, Operand, ScatterNdMax.Options...) - Method in class org.tensorflow.op.Ops: Computes element-wise maximum.
ScatterNdMax<T> - Class in org.tensorflow.op.core: Computes element-wise maximum.
ScatterNdMax(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdMax
ScatterNdMax.Inputs<T> - Class in org.tensorflow.op.core
ScatterNdMax.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdMax
scatterNdMin(Operand, Operand, Operand, ScatterNdMin.Options...) - Method in class org.tensorflow.op.Ops: Computes element-wise minimum.
ScatterNdMin<T> - Class in org.tensorflow.op.core: Computes element-wise minimum.
ScatterNdMin(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdMin
ScatterNdMin.Inputs<T> - Class in org.tensorflow.op.core
ScatterNdMin.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdMin
scatterNdNonAliasingAdd(Operand, Operand, Operand, ScatterNdNonAliasingAdd.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse addition to input using individual values or slices from updates according to indices indices.
ScatterNdNonAliasingAdd<T> - Class in org.tensorflow.op.core: Applies sparse addition to input using individual values or slices from updates according to indices indices.
ScatterNdNonAliasingAdd(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdNonAliasingAdd
ScatterNdNonAliasingAdd.Inputs<T> - Class in org.tensorflow.op.core
ScatterNdNonAliasingAdd.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdNonAliasingAdd
scatterNdSub(Operand, Operand, Operand, ScatterNdSub.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse subtraction to individual values or slices in a Variable.
ScatterNdSub<T> - Class in org.tensorflow.op.core: Applies sparse subtraction to individual values or slices in a Variable. within a given variable according to indices.
ScatterNdSub(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdSub
ScatterNdSub.Inputs<T> - Class in org.tensorflow.op.core
ScatterNdSub.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdSub
scatterNdUpdate(Operand, Operand, Operand, ScatterNdUpdate.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse updates to individual values or slices within a given variable according to indices.
ScatterNdUpdate<T> - Class in org.tensorflow.op.core: Applies sparse updates to individual values or slices within a given variable according to indices.
ScatterNdUpdate(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdUpdate
ScatterNdUpdate.Inputs<T> - Class in org.tensorflow.op.core
ScatterNdUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdUpdate
scatterSub(Operand, Operand, Operand, ScatterSub.Options...) - Method in class org.tensorflow.op.Ops: Subtracts sparse updates to a variable reference.
ScatterSub<T> - Class in org.tensorflow.op.core: Subtracts sparse updates to a variable reference.
ScatterSub(Operation) - Constructor for class org.tensorflow.op.core.ScatterSub
ScatterSub.Inputs<T> - Class in org.tensorflow.op.core
ScatterSub.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterSub
scatterUpdate(Operand, Operand, Operand, ScatterUpdate.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse updates to a variable reference.
ScatterUpdate<T> - Class in org.tensorflow.op.core: Applies sparse updates to a variable reference.
ScatterUpdate(Operation) - Constructor for class org.tensorflow.op.core.ScatterUpdate
ScatterUpdate.Inputs<T> - Class in org.tensorflow.op.core
ScatterUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterUpdate
SCHEDULED_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
SCHEDULED_NANOS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
SCHEDULING_HEURISTICS - Enum constant in enum org.tensorflow.proto.RewriterConfig.MemOptType: Scheduling will split big ops such as AddN and try to enforce a schedule of the new computations that decreases peak memory usage.
SCHEDULING_HEURISTICS_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.MemOptType: Scheduling will split big ops such as AddN and try to enforce a schedule of the new computations that decreases peak memory usage.
scheme - Variable in class org.tensorflow.op.core.FileSystemSetConfiguration.Inputs: File system scheme.
scientific - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: Use scientific notation for floating point numbers.
scientific(Boolean) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the scientific option.
scientific(Boolean) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the scientific option.
SCOMPLEX_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
scope() - Method in class org.tensorflow.framework.op.FrameworkOps: Returns the current scope of this API
scope() - Method in class org.tensorflow.op.Ops: Returns the current scope of this API
Scope - Interface in org.tensorflow.op: Manages groups of related properties when creating Tensorflow Operations, such as a common name prefix.
Scope - Static variable in class org.tensorflow.generator.op.Names
SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
ScopedAllocatorOptions - Class in org.tensorflow.proto: Protobuf type tensorflow.ScopedAllocatorOptions
ScopedAllocatorOptions.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.ScopedAllocatorOptions
ScopedAllocatorOptionsOrBuilder - Interface in org.tensorflow.proto
scores - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A 3-D float tensor of shape [batch_size, num_boxes, num_classes] representing a single score corresponding to each box (each row of boxes).
scores - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A 4-D float tensor of shape [num_images, height, width, num_achors] containing scores of the boxes for given anchors, can be unsorted.
scores - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 1-D float tensor of shape [num_boxes] representing a single score corresponding to each box (each row of boxes).
scores - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A 1-D float tensor of shape [num_boxes] representing a single score corresponding to each box (each row of boxes).
scoreThreshold - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A 0-D float tensor representing the threshold for deciding when to remove boxes based on score.
scoreThreshold - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 0-D float tensor representing the threshold for deciding when to remove boxes based on score.
scoreThreshold - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A 0-D float tensor representing the threshold for deciding when to remove boxes based on score.
sdcaFprint(Operand) - Method in class org.tensorflow.op.TrainOps: Computes fingerprints of the input strings.
SdcaFprint - Class in org.tensorflow.op.train: Computes fingerprints of the input strings.
SdcaFprint(Operation) - Constructor for class org.tensorflow.op.train.SdcaFprint
SdcaFprint.Inputs - Class in org.tensorflow.op.train
sdcaOptimizer(Iterable, Iterable, Iterable, Iterable, Operand, Operand, Iterable, Iterable, Iterable, Operand, String, Float, Float, Long, Long, SdcaOptimizer.Options...) - Method in class org.tensorflow.op.TrainOps: Distributed version of Stochastic Dual Coordinate Ascent (SDCA) optimizer for linear models with L1 + L2 regularization.
SdcaOptimizer - Class in org.tensorflow.op.train: Distributed version of Stochastic Dual Coordinate Ascent (SDCA) optimizer for linear models with L1 + L2 regularization.
SdcaOptimizer(Operation) - Constructor for class org.tensorflow.op.train.SdcaOptimizer
SdcaOptimizer.Inputs - Class in org.tensorflow.op.train
SdcaOptimizer.Options - Class in org.tensorflow.op.train: Optional attributes for SdcaOptimizer
sdcaShrinkL1(Iterable, Float, Float) - Method in class org.tensorflow.op.TrainOps: Applies L1 regularization shrink step on the parameters.
SdcaShrinkL1 - Class in org.tensorflow.op.train: Applies L1 regularization shrink step on the parameters.
SdcaShrinkL1(Operation) - Constructor for class org.tensorflow.op.train.SdcaShrinkL1
SdcaShrinkL1.Inputs - Class in org.tensorflow.op.train
SECOND_MOMENT - Static variable in class org.tensorflow.framework.optimizers.Adam
SECOND_MOMENT - Static variable in class org.tensorflow.framework.optimizers.Adamax
SECOND_MOMENT - Static variable in class org.tensorflow.framework.optimizers.Nadam
seed - Variable in class org.tensorflow.op.cluster.KMC2ChainInitialization.Inputs: Scalar.
seed - Variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs: Scalar.
seed - Variable in class org.tensorflow.op.core.RandomIndexShuffle.Inputs: A tensor of dtype Tseed and shape [3] or [n, 3].
seed - Variable in class org.tensorflow.op.data.experimental.RandomDataset.Inputs: A scalar seed for the random number generator.
seed - Variable in class org.tensorflow.op.data.GlobalShuffleDataset.Inputs: The seed input
seed - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: A scalar seed for the random number generator.
seed - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: A scalar representing seed of random number generator.
seed - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The seed input
seed - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The seed input
seed - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: If either seed or seed2 are set to non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: 1-D with shape [2].
seed - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: If either seed or seed2 is set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The seed attribute
seed - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The seed attribute
seed - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The seed attribute
seed - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The seed attribute
seed - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The seed attribute
seed - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.AnonymousRandomSeedGenerator.Inputs: The seed input
seed - Variable in class org.tensorflow.op.random.AnonymousSeedGenerator.Inputs: The seed input
seed - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.Multinomial.Inputs: If either seed or seed2 is set to be non-zero, the internal random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.RandomShuffle.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounter.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.image.RandomCrop.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.image.RandomCrop: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.ComputeAccidentalHits.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.AllCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.AllCandidateSampler: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.LogUniformCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.Multinomial.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.Multinomial: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.ParameterizedTruncatedNormal: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.RandomGamma.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomGamma: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.RandomPoisson.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomPoisson: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.RandomShuffle.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomShuffle: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.RandomStandardNormal.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomStandardNormal: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.RandomUniform.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomUniform: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.RandomUniformInt.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomUniformInt: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.TruncatedNormal.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.TruncatedNormal: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.UniformCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.UniformCandidateSampler: Sets the seed option.
seed2 - Variable in class org.tensorflow.op.data.experimental.RandomDataset.Inputs: A second scalar seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.data.GlobalShuffleDataset.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: A second scalar seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: A scalar representing seed2 of random number generator.
seed2 - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The seed2 attribute
seed2 - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The seed2 attribute
seed2 - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The seed2 attribute
seed2 - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The seed2 attribute
seed2 - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The seed2 attribute
seed2 - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.AnonymousRandomSeedGenerator.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.random.AnonymousSeedGenerator.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.Multinomial.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.RandomShuffle.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.image.RandomCrop.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.image.RandomCrop: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.ComputeAccidentalHits.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.AllCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.AllCandidateSampler: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.LogUniformCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.Multinomial.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.Multinomial: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.ParameterizedTruncatedNormal: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.RandomGamma.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomGamma: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.RandomPoisson.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomPoisson: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.RandomShuffle.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomShuffle: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.RandomStandardNormal.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomStandardNormal: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.RandomUniform.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomUniform: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.RandomUniformInt.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomUniformInt: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.TruncatedNormal.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.TruncatedNormal: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.UniformCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.UniformCandidateSampler: Sets the seed2 option.
seedGenerator - Variable in class org.tensorflow.op.data.GlobalShuffleDataset.Inputs: The seedGenerator input
seedGenerator - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: A resource for the random number seed generator.
seedGenerator - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The seedGenerator input
seedGenerator - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The seedGenerator input
segmentIds - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.SegmentMean.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: A tensor whose shape is a prefix of data.shape.
segmentIds - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: A tensor whose shape is a prefix of data.shape.
segmentIds - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: A tensor whose shape is a prefix of data.shape.
segmentIds - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: A tensor whose shape is a prefix of data.shape.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: segment_ids passed to the corresponding SparseSegmentMean op.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: segment_ids passed to the corresponding SparseSegmentSqrtN op.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: segment_ids passed to the corresponding SparseSegmentSum op.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The segmentIds input
segmentMax(Operand, Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the maximum along segments of a tensor.
SegmentMax<T> - Class in org.tensorflow.op.math: Computes the maximum along segments of a tensor.
SegmentMax(Operation) - Constructor for class org.tensorflow.op.math.SegmentMax
SegmentMax.Inputs<T> - Class in org.tensorflow.op.math
segmentMean(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the mean along segments of a tensor.
SegmentMean<T> - Class in org.tensorflow.op.math: Computes the mean along segments of a tensor.
SegmentMean(Operation) - Constructor for class org.tensorflow.op.math.SegmentMean
SegmentMean.Inputs<T> - Class in org.tensorflow.op.math
segmentMin(Operand, Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the minimum along segments of a tensor.
SegmentMin<T> - Class in org.tensorflow.op.math: Computes the minimum along segments of a tensor.
SegmentMin(Operation) - Constructor for class org.tensorflow.op.math.SegmentMin
SegmentMin.Inputs<T> - Class in org.tensorflow.op.math
segmentProd(Operand, Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the product along segments of a tensor.
SegmentProd<T> - Class in org.tensorflow.op.math: Computes the product along segments of a tensor.
SegmentProd(Operation) - Constructor for class org.tensorflow.op.math.SegmentProd
SegmentProd.Inputs<T> - Class in org.tensorflow.op.math
segments() - Method in class org.tensorflow.op.nn.IsotonicRegression: Gets segments.
segmentSum(Operand, Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the sum along segments of a tensor.
SegmentSum<T> - Class in org.tensorflow.op.math: Computes the sum along segments of a tensor.
SegmentSum(Operation) - Constructor for class org.tensorflow.op.math.SegmentSum
SegmentSum.Inputs<T> - Class in org.tensorflow.op.math
select(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: The SelectV2 operation
Select<T> - Class in org.tensorflow.op.core: The SelectV2 operation
Select(Operation) - Constructor for class org.tensorflow.op.core.Select
Select.Inputs<T> - Class in org.tensorflow.op.core
selectCols - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The selectCols input
selectCols - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The selectCols input
selectCols - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: The selectCols attribute
selectCols(Long...) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the selectCols option.
selectCols(Long...) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the selectCols option.
selectCols(List) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the selectCols option.
selectCols(List) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the selectCols option.
selectedIndices() - Method in class org.tensorflow.op.image.NonMaxSuppression: Gets selectedIndices.
selectedIndices() - Method in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps: Gets selectedIndices.
selectedScores() - Method in class org.tensorflow.op.image.NonMaxSuppression: Gets selectedScores.
selectorInputDataset - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: A dataset of scalar DT_INT64 elements that determines which of the N data inputs should produce the next output element.
selectorInputDataset - Variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs: A dataset of scalar DT_INT64 elements that determines which of the N data inputs should produce the next output element.
selfAdjointEig(Operand, SelfAdjointEig.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the eigen decomposition of one or more square self-adjoint matrices.
SelfAdjointEig<T> - Class in org.tensorflow.op.linalg: Computes the eigen decomposition of one or more square self-adjoint matrices.
SelfAdjointEig(Operation) - Constructor for class org.tensorflow.op.linalg.SelfAdjointEig
SelfAdjointEig.Inputs<T> - Class in org.tensorflow.op.linalg
SelfAdjointEig.Options - Class in org.tensorflow.op.linalg: Optional attributes for SelfAdjointEig
selu(Ops, Operand) - Static method in class org.tensorflow.framework.activations.SELU: Applies Scaled Exponential Linear Unit (SELU) activation function
selu(Operand) - Method in class org.tensorflow.op.NnOps: Computes scaled exponential linear: scale * alpha * (exp(features) - 1) if < 0, scale * features otherwise.
Selu<T> - Class in org.tensorflow.op.nn: Computes scaled exponential linear: scale * alpha * (exp(features) - 1) if < 0, scale * features otherwise.
Selu(Operation) - Constructor for class org.tensorflow.op.nn.Selu
SELU - Class in org.tensorflow.framework.activations: Scaled Exponential Linear Unit (SELU).
SELU - Enum constant in enum org.tensorflow.framework.activations.Activations
SELU() - Constructor for class org.tensorflow.framework.activations.SELU: Creates a Scaled Exponential Linear Unit (SELU) activation.
SELU(Map) - Constructor for class org.tensorflow.framework.activations.SELU: Creates a new Exponential from a configuration Map
Selu.Inputs<T> - Class in org.tensorflow.op.nn
seluGrad(Operand, Operand) - Method in class org.tensorflow.op.NnOps: Computes gradients for the scaled exponential linear (Selu) operation.
SeluGrad<T> - Class in org.tensorflow.op.nn: Computes gradients for the scaled exponential linear (Selu) operation.
SeluGrad(Operation) - Constructor for class org.tensorflow.op.nn.SeluGrad
SeluGrad.Inputs<T> - Class in org.tensorflow.op.nn
send(Operand, String, String, Long, String, Send.Options...) - Method in class org.tensorflow.op.Ops: Sends the named tensor from send_device to recv_device.
Send - Class in org.tensorflow.op.core: Sends the named tensor from send_device to recv_device.
Send(Operation) - Constructor for class org.tensorflow.op.core.Send
Send.Inputs - Class in org.tensorflow.op.core
Send.Options - Class in org.tensorflow.op.core: Optional attributes for Send
sendDevice - Variable in class org.tensorflow.op.core.Recv.Inputs: The name of the device sending the tensor.
sendDevice - Variable in class org.tensorflow.op.core.Send.Inputs: The name of the device sending the tensor.
sendDeviceIncarnation - Variable in class org.tensorflow.op.core.Recv.Inputs: The current incarnation of send_device.
sendDeviceIncarnation - Variable in class org.tensorflow.op.core.Send.Inputs: The current incarnation of send_device.
sendKey - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: The sendKey attribute
sendKey(String) - Method in class org.tensorflow.op.xla.XlaHostCompute.Options: Sets the sendKey option.
sendKey(String) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Sets the sendKey option.
sendTPUEmbeddingGradients(Iterable, Iterable, String, SendTPUEmbeddingGradients.Options...) - Method in class org.tensorflow.op.TpuOps: Performs gradient updates of embedding tables.
SendTPUEmbeddingGradients - Class in org.tensorflow.op.tpu: Performs gradient updates of embedding tables.
SendTPUEmbeddingGradients(Operation) - Constructor for class org.tensorflow.op.tpu.SendTPUEmbeddingGradients
SendTPUEmbeddingGradients.Inputs - Class in org.tensorflow.op.tpu
SendTPUEmbeddingGradients.Options - Class in org.tensorflow.op.tpu: Optional attributes for SendTPUEmbeddingGradients
SensitivityAtSpecificity<T> - Class in org.tensorflow.framework.metrics: Computes best sensitivity where sensitivity is >= specified value.
SensitivityAtSpecificity(float, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Creates a PrecisionRecall metric with a name of Class.getSimpleName().
SensitivityAtSpecificity(float, long, Class) - Constructor for class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Creates a SpecificityAtSensitivity metric with a name of Class.getSimpleName() and SensitivitySpecificityBase.DEFAULT_NUM_THRESHOLDS for the number of thresholds
SensitivityAtSpecificity(String, float, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Creates a PrecisionRecall metric.
SensitivityAtSpecificity(String, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Creates a SpecificityAtSensitivity metric with SensitivitySpecificityBase.DEFAULT_NUM_THRESHOLDS for the number of thresholds
sep - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: string used when joining a list of string inputs, can be used as separator later.
sep - Variable in class org.tensorflow.op.strings.StringSplit.Inputs: 0-D string Tensor, the delimiter character.
separator - Variable in class org.tensorflow.op.strings.Join.Inputs: string, an optional join separator.
separator - Variable in class org.tensorflow.op.strings.ReduceJoin.Inputs: The separator to use when joining.
separator - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The string to append between elements of the token.
separator - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The separator attribute
separator(String) - Method in class org.tensorflow.op.strings.Join.Options: Sets the separator option.
separator(String) - Static method in class org.tensorflow.op.strings.Join: Sets the separator option.
separator(String) - Method in class org.tensorflow.op.strings.ReduceJoin.Options: Sets the separator option.
separator(String) - Static method in class org.tensorflow.op.strings.ReduceJoin: Sets the separator option.
separator(String) - Method in class org.tensorflow.op.strings.UnsortedSegmentJoin.Options: Sets the separator option.
separator(String) - Static method in class org.tensorflow.op.strings.UnsortedSegmentJoin: Sets the separator option.
SEQ_INTERLEAVE_PREFETCH - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalSeqInterleavePrefetchCase
SEQ_INTERLEAVE_PREFETCH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
seqDim - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The dimension which is partially reversed.
seqLengths - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: 1-D with length input.dims(batch_dim) and max(seq_lengths) <= input.dims(seq_dim)
seqLenMax - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Maximum time length actually used by this input.
seqLenMax - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: Maximum time length actually used by this input.
SequenceExample - Class in org.tensorflow.proto: Protobuf type tensorflow.SequenceExample
SequenceExample.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.SequenceExample
SequenceExampleOrBuilder - Interface in org.tensorflow.proto
sequenceLength - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: A vector containing sequence lengths, size (batch).
sequenceLength - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: A vector containing sequence lengths, size (batch_size).
sequenceLength - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: A vector containing sequence lengths (batch).
sequenceLength - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: A vector containing sequence lengths (batch).
sequenceLengths - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The sequenceLengths input
sequenceLengths - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The sequenceLengths input
SERIAL_IDENTIFIER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MachineConfiguration
serialized - Variable in class org.tensorflow.op.data.DeserializeIterator.Inputs: A variant tensor storing the state of the iterator contained in the resource.
serialized - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A scalar or vector containing binary serialized Example protos.
serialized - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A scalar or vector containing binary serialized SequenceExample protos.
serialized - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: A vector containing a batch of binary serialized Example protos.
serialized - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A scalar containing a binary serialized SequenceExample proto.
serialized - Variable in class org.tensorflow.op.io.ParseTensor.Inputs: A scalar string containing a serialized TensorProto proto.
serialized() - Method in class org.tensorflow.op.data.SerializeIterator: Gets serialized.
serialized() - Method in class org.tensorflow.op.io.SerializeTensor: Gets serialized.
SERIALIZED_USER_PROTO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
SerializedDType - Class in org.tensorflow.proto: Represents a serialized tf.dtypes.Dtype
SerializedDType.Builder - Class in org.tensorflow.proto: Represents a serialized tf.dtypes.Dtype
SerializedDTypeOrBuilder - Interface in org.tensorflow.proto
serializedOptions - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: A tf.string scalar tf.Tensor of serialized tf.data.Options protocol buffer.
serializedOptions() - Method in class org.tensorflow.op.core.GetOptions: Gets serializedOptions.
serializedSparse - Variable in class org.tensorflow.op.io.DeserializeManySparse.Inputs: 2-D, The N serialized SparseTensor objects.
serializedSparse - Variable in class org.tensorflow.op.sparse.DeserializeSparse.Inputs: The serialized SparseTensor objects.
serializedSparse() - Method in class org.tensorflow.op.io.SerializeManySparse: Gets serializedSparse.
serializedSparse() - Method in class org.tensorflow.op.io.SerializeSparse: Gets serializedSparse.
serializedSummaryMetadata - Variable in class org.tensorflow.op.summary.TensorSummary.Inputs: A serialized SummaryMetadata proto.
serializeIterator(Operand, SerializeIterator.Options...) - Method in class org.tensorflow.op.DataOps: Converts the given resource_handle representing an iterator to a variant tensor.
SerializeIterator - Class in org.tensorflow.op.data: Converts the given resource_handle representing an iterator to a variant tensor.
SerializeIterator(Operation) - Constructor for class org.tensorflow.op.data.SerializeIterator
SerializeIterator.Inputs - Class in org.tensorflow.op.data
SerializeIterator.Options - Class in org.tensorflow.op.data: Optional attributes for SerializeIterator
serializeManySparse(Operand, Operand, Operand) - Method in class org.tensorflow.op.IoOps: Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
serializeManySparse(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.IoOps: Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
SerializeManySparse - Class in org.tensorflow.op.io: Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
SerializeManySparse(Operation) - Constructor for class org.tensorflow.op.io.SerializeManySparse
SerializeManySparse.Inputs - Class in org.tensorflow.op.io
serializeSparse(Operand, Operand, Operand) - Method in class org.tensorflow.op.IoOps: Serialize a SparseTensor into a [3] Tensor object.
serializeSparse(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.IoOps: Serialize a SparseTensor into a [3] Tensor object.
SerializeSparse - Class in org.tensorflow.op.io: Serialize a SparseTensor into a [3] Tensor object.
SerializeSparse(Operation) - Constructor for class org.tensorflow.op.io.SerializeSparse
SerializeSparse.Inputs - Class in org.tensorflow.op.io
serializeTensor(Operand) - Method in class org.tensorflow.op.IoOps: Transforms a Tensor into a serialized TensorProto proto.
SerializeTensor - Class in org.tensorflow.op.io: Transforms a Tensor into a serialized TensorProto proto.
SerializeTensor(Operation) - Constructor for class org.tensorflow.op.io.SerializeTensor
SerializeTensor.Inputs - Class in org.tensorflow.op.io
Server - Class in org.tensorflow: An in-process TensorFlow server, for use in distributed training.
Server(ServerDef) - Constructor for class org.tensorflow.Server: Constructs a new instance of server.
ServerDef - Class in org.tensorflow.proto: Defines the configuration of a single TensorFlow server.
ServerDef.Builder - Class in org.tensorflow.proto: Defines the configuration of a single TensorFlow server.
ServerDefOrBuilder - Interface in org.tensorflow.proto
ServerProtos - Class in org.tensorflow.proto
SERVICE_ADDRESSES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
SERVICE_LEADER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
SERVICE_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.Options
SERVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
ServiceConfig - Class in org.tensorflow.proto.data.experimental
ServiceConfig.DispatcherConfig - Class in org.tensorflow.proto.data.experimental: Configuration for a tf.data service DispatchServer.
ServiceConfig.DispatcherConfig.Builder - Class in org.tensorflow.proto.data.experimental: Configuration for a tf.data service DispatchServer.
ServiceConfig.DispatcherConfigOrBuilder - Interface in org.tensorflow.proto.data.experimental
ServiceConfig.WorkerConfig - Class in org.tensorflow.proto.data.experimental: Configuration for a tf.data service WorkerServer.
ServiceConfig.WorkerConfig.Builder - Class in org.tensorflow.proto.data.experimental: Configuration for a tf.data service WorkerServer.
ServiceConfig.WorkerConfigOrBuilder - Interface in org.tensorflow.proto.data.experimental
session() - Method in class org.tensorflow.SavedModelBundle: Returns the Session with which to perform computation using the model.
session() - Method in class org.tensorflow.SessionFunction
Session - Class in org.tensorflow: Driver for Graph execution.
Session(Graph) - Constructor for class org.tensorflow.Session: Construct a new session with the associated Graph.
Session(Graph, boolean) - Constructor for class org.tensorflow.Session: Construct and optionally initialize a new session with the associated Graph.
Session(Graph, boolean, ConfigProto) - Constructor for class org.tensorflow.Session: Construct and optionally initialize a new session with the associated Graph and configuration options.
Session(Graph, ConfigProto) - Constructor for class org.tensorflow.Session: Construct a new session with the associated Graph and configuration options.
SESSION_CREATION_TIMESTAMP_NS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
SESSION_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpInfo
SESSION_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance
SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
SESSION_LOG - Enum constant in enum org.tensorflow.proto.Event.WhatCase
SESSION_LOG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Event
SESSION_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
SESSION_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunMetadata
Session.Runner - Class in org.tensorflow: Run Operations and evaluate Tensors.
SessionFunction - Class in org.tensorflow: A callable function backed by a session.
SessionFunction(Signature, Session) - Constructor for class org.tensorflow.SessionFunction
SessionLog - Class in org.tensorflow.proto: Protocol buffer used for logging session state.
SessionLog.Builder - Class in org.tensorflow.proto: Protocol buffer used for logging session state.
SessionLog.SessionStatus - Enum in org.tensorflow.proto: Protobuf enum tensorflow.SessionLog.SessionStatus
SessionLogOrBuilder - Interface in org.tensorflow.proto
SessionMetadata - Class in org.tensorflow.proto: Metadata about the session.
SessionMetadata.Builder - Class in org.tensorflow.proto: Metadata about the session.
SessionMetadataOrBuilder - Interface in org.tensorflow.proto
set1 - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: Tensor with rank n. 1st n-1 dimensions must be the same as set2.
set1 - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: Tensor with rank n. 1st n-1 dimensions must be the same as set2.
set1Indices - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 2D Tensor, indices of a SparseTensor.
set1Shape - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 1D Tensor, shape of a SparseTensor.
set1Values - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 1D Tensor, values of a SparseTensor.
set2 - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: Tensor with rank n. 1st n-1 dimensions must be the same as set1.
set2Indices - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: 2D Tensor, indices of a SparseTensor.
set2Indices - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 2D Tensor, indices of a SparseTensor.
set2Shape - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: 1D Tensor, shape of a SparseTensor.
set2Shape - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 1D Tensor, shape of a SparseTensor.
set2Values - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: 1D Tensor, values of a SparseTensor.
set2Values - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 1D Tensor, values of a SparseTensor.
setActionCount(long) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: uint64 action_count = 7;
setActionCount(long) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder: uint64 action_count = 1;
setAddress(long) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: uint64 address = 1;
setAgentDestructionWithoutShutdown(boolean) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: If set, agents do not make an explicit Shutdown() call.
setAggregation(VariableAggregation) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.VariableAggregation aggregation = 5;
setAggregation(VariableAggregation) - Method in class org.tensorflow.proto.VariableDef.Builder: Indicates how a distributed variable will be aggregated.
setAggregationValue(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.VariableAggregation aggregation = 5;
setAggregationValue(int) - Method in class org.tensorflow.proto.VariableDef.Builder: Indicates how a distributed variable will be aggregated.
setAlgorithm(Model.AutotuneAlgorithm) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Algorithm used for autotuning optimization.
setAlgorithmValue(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Algorithm used for autotuning optimization.
setAliasInputPort(long) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: If >= 0, the output is an alias of an input.
setAllEndRelMicros(long) - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 all_end_rel_micros = 5;
setAllEndRelNanos(long) - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 all_end_rel_nanos = 16;
setAllocatedBytes(long) - Method in class org.tensorflow.proto.AllocationDescription.Builder: Total number of bytes allocated if known
setAllocationDescription(AllocationDescription) - Method in class org.tensorflow.proto.TensorDescription.Builder: Information about the size and allocator used for the data
setAllocationDescription(AllocationDescription.Builder) - Method in class org.tensorflow.proto.TensorDescription.Builder: Information about the size and allocator used for the data
setAllocationId(long) - Method in class org.tensorflow.proto.AllocationDescription.Builder: Identifier of the allocated buffer if known
setAllocationId(long) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
setAllocationId(long) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
setAllocationId(long) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder: Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
setAllocationRecords(int, AllocationRecord) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
setAllocationRecords(int, AllocationRecord.Builder) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The allocation and deallocation timeline.
setAllocatorBytesInUse(long) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: These are snapshots of the overall allocator memory stats.
setAllocatorName(String) - Method in class org.tensorflow.proto.AllocationDescription.Builder: Name of the allocator used
setAllocatorName(String) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: string allocator_name = 1;
setAllocatorName(String) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: string allocator_name = 1;
setAllocatorName(String) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Name of the allocator used.
setAllocatorName(String) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Name of the allocator used.
setAllocatorName(String) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.proto.AllocationDescription.Builder: Name of the allocator used
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: string allocator_name = 1;
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: string allocator_name = 1;
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Name of the allocator used.
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Name of the allocator used.
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder: Name of the allocator used.
setAllocatorType(String) - Method in class org.tensorflow.proto.GPUOptions.Builder: The type of GPU allocation strategy to use.
setAllocatorTypeBytes(ByteString) - Method in class org.tensorflow.proto.GPUOptions.Builder: The type of GPU allocation strategy to use.
setAllocBytes(long) - Method in class org.tensorflow.proto.AllocationRecord.Builder: Number of bytes allocated, or de-allocated if negative.
setAllocMicros(long) - Method in class org.tensorflow.proto.AllocationRecord.Builder: The timestamp of the operation.
setAllowedPositionalArguments(long) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: The prefix of `argument_keywords` which may be identified by position.
setAllowedValues(AttrValue) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
setAllowedValues(AttrValue) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: The set of allowed values.
setAllowedValues(AttrValue.Builder) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: A list of values that this kernel supports for this attr.
setAllowedValues(AttrValue.Builder) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: The set of allowed values.
setAllowGrowth(boolean) - Method in class org.tensorflow.proto.GPUOptions.Builder: If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
setAllowNewIncarnationToReconnect(boolean) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: If a task restarts with a new incarnation, we may allow it to reconnect silently.
setAllowSoftPlacement(boolean) - Method in class org.tensorflow.proto.ConfigProto.Builder: Whether soft placement is allowed.
setAllowsUninitializedInput(boolean) - Method in class org.tensorflow.proto.OpDef.Builder: By default, all inputs to an Op must be initialized Tensors.
setAllStartMicros(long) - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 all_start_micros = 2;
setAllStartNanos(long) - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 all_start_nanos = 13;
setAnyInfo(Any) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
setAnyInfo(Any.Builder) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A serialized protobuf.
setAnyList(CollectionDef.AnyList) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
setAnyList(CollectionDef.AnyList.Builder) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.AnyList any_list = 5;
setApplyDefaultOptimizations(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool apply_default_optimizations = 1;
setArgOrder(int, String) - Method in class org.tensorflow.proto.ApiDef.Builder: List of original in_arg names to specify new argument order.
setArgs(int, FullTypeDef) - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
setArgs(int, FullTypeDef.Builder) - Method in class org.tensorflow.proto.FullTypeDef.Builder: repeated .tensorflow.FullTypeDef args = 2;
setArgument(int, String) - Method in class org.tensorflow.proto.RunConfiguration.Builder: repeated string argument = 1;
setArgumentKeywords(int, String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: A sequence of unique strings, one per Tensor argument.
setArithmeticOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
setArithmeticOptimizationValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Arithmetic optimizations (default is ON) e.g.
setAsset(SavedObjectGraphOuterClass.SavedAsset) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
setAsset(SavedObjectGraphOuterClass.SavedAsset.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedAsset asset = 5;
setAssetFileDef(int, AssetFileDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
setAssetFileDef(int, AssetFileDef.Builder) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Asset file def to be used with the defined graph.
setAssetFileDefIndex(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder: Index into `MetaGraphDef.asset_file_def[]` that describes the Asset.
setAttr(int, ApiDef.Attr) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
setAttr(int, ApiDef.Attr.Builder) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Attr attr = 6;
setAttr(int, OpDef.AttrDef) - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
setAttr(int, OpDef.AttrDef.Builder) - Method in class org.tensorflow.proto.OpDef.Builder: repeated .tensorflow.OpDef.AttrDef attr = 4;
setAttr(String, boolean) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, boolean) - Method in interface org.tensorflow.OperationBuilder: Set the boolean value of an attribute of the operation being built.
setAttr(String, boolean[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, boolean[]) - Method in interface org.tensorflow.OperationBuilder: Set the boolean values of an attribute of the operation being built.
setAttr(String, byte[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, byte[]) - Method in interface org.tensorflow.OperationBuilder: Set the byte values of an attribute of the operation being built.
setAttr(String, float) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, float) - Method in interface org.tensorflow.OperationBuilder: Set the float value of an attribute of the operation being built.
setAttr(String, float[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, float[]) - Method in interface org.tensorflow.OperationBuilder: Set the float values of an attribute of the operation being built.
setAttr(String, long) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, long) - Method in interface org.tensorflow.OperationBuilder: Set the long value of an attribute of the operation being built.
setAttr(String, long[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, long[]) - Method in interface org.tensorflow.OperationBuilder: Set the long values of an attribute of the operation being built.
setAttr(String, String) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, String) - Method in interface org.tensorflow.OperationBuilder: Set the string value of an attribute of the operation being built.
setAttr(String, String[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, String[]) - Method in interface org.tensorflow.OperationBuilder: Set the string values of an attribute of the operation being built.
setAttr(String, ConcreteFunction) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, ConcreteFunction) - Method in interface org.tensorflow.OperationBuilder: Set the function value of an attribute of the operation being built.
setAttr(String, ConcreteFunction[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, ConcreteFunction[]) - Method in interface org.tensorflow.OperationBuilder: Set the function values of an attribute of the operation being built.
setAttr(String, Shape) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, Shape) - Method in interface org.tensorflow.OperationBuilder: Set the shape value of an attribute of the operation being built.
setAttr(String, Shape[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, Shape[]) - Method in interface org.tensorflow.OperationBuilder: Set the shape values of an attribute of the operation being built.
setAttr(String, AttrValue) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, AttrValue) - Method in interface org.tensorflow.OperationBuilder: Set value of an attribute of the operation being built.
setAttr(String, DataType) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, DataType) - Method in interface org.tensorflow.OperationBuilder: Set the type value of an attribute of the operation being built.
setAttr(String, DataType[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, DataType[]) - Method in interface org.tensorflow.OperationBuilder: Set the type values of an attribute of the operation being built.
setAttr(String, Tensor) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, Tensor) - Method in interface org.tensorflow.OperationBuilder: Set the tensor value of an attribute of the operation being built.
setAttr(String, Tensor[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, Tensor[]) - Method in interface org.tensorflow.OperationBuilder: Set the tensor values of an attribute of the operation being built.
setAttributes(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
setAttributes(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Serialized data specific to this object.
setAudio(Summary.Audio) - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
setAudio(Summary.Audio.Builder) - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Audio audio = 6;
setAutoMixedPrecision(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for CUDA/oneDNN (default is OFF).
setAutoMixedPrecisionCpu(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Emulate a model using data type float16 on CPU (default is OFF).
setAutoMixedPrecisionCpuValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Emulate a model using data type float16 on CPU (default is OFF).
setAutoMixedPrecisionMkl(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for oneDNN (default is OFF).
setAutoMixedPrecisionMklValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for oneDNN (default is OFF).
setAutoMixedPrecisionOnednnBfloat16(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for oneDNN (default is OFF).
setAutoMixedPrecisionOnednnBfloat16Value(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for oneDNN (default is OFF).
setAutoMixedPrecisionValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize data types for CUDA/oneDNN (default is OFF).
setAutoParallel(AutoParallelOptions) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
setAutoParallel(AutoParallelOptions.Builder) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
setAutoShardPolicy(DatasetOptions.AutoShardPolicy) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
setAutoShardPolicyValue(int) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder: .tensorflow.data.AutoShardPolicy auto_shard_policy = 1;
setAutotune(boolean) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: An indication whether autotuning is enabled for this node.
setAutotuneAlgorithm(Model.AutotuneAlgorithm) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: .tensorflow.data.model.AutotuneAlgorithm autotune_algorithm = 4;
setAutotuneAlgorithmValue(int) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: .tensorflow.data.model.AutotuneAlgorithm autotune_algorithm = 4;
setAutotuneOptions(DatasetOptions.AutotuneOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The autotune options associated with the dataset.
setAutotuneOptions(DatasetOptions.AutotuneOptions.Builder) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The autotune options associated with the dataset.
setAvailable(long) - Method in class org.tensorflow.proto.MemoryInfo.Builder: Immediately available memory in bytes
setAvailableDeviceInfo(int, AvailableDeviceInfo) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
setAvailableDeviceInfo(int, AvailableDeviceInfo.Builder) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Devices accessible to the test (e.g. as given by list_local_devices).
setB(boolean) - Method in class org.tensorflow.proto.AttrValue.Builder: "bool"
setB(int, boolean) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(bool)"
setBackendServerPort(int) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Port for the Pathways server.
setBackProp(boolean) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Whether backprop is enabled for this while loop.
setBadConsumers(int, int) - Method in class org.tensorflow.proto.VersionDef.Builder: Specific consumer versions which are disallowed (e.g. due to bugs).
setBandwidth(long) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Memory bandwidth in KB/s
setBareConcreteFunction(SavedObjectGraphOuterClass.SavedBareConcreteFunction) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
setBareConcreteFunction(SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedBareConcreteFunction bare_concrete_function = 8;
setBenchmarkType(TestResults.BenchmarkType) - Method in class org.tensorflow.proto.TestResults.Builder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
setBenchmarkTypeValue(int) - Method in class org.tensorflow.proto.TestResults.Builder: .tensorflow.TestResults.BenchmarkType benchmark_type = 10;
setBin(int) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int32 bin = 1;
setBin(int) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: int32 bin = 4;
setBinSummary(int, BfcMemoryMap.BinSummary) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
setBinSummary(int, BfcMemoryMap.BinSummary.Builder) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.BinSummary bin_summary = 2;
setBits(String) - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '64bit'
setBitsBytes(ByteString) - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '64bit'
setBoolVal(int, boolean) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_BOOL
setBoolValue(boolean) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a boolean value.
setBoundedTensorSpecValue(Struct.BoundedTensorSpecProto) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
setBoundedTensorSpecValue(Struct.BoundedTensorSpecProto.Builder) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.BoundedTensorSpec.
setBoundInputs(int, int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: repeated int32 bound_inputs = 2;
setBranch(int) - Method in class org.tensorflow.proto.CondContextDef.Builder: Branch prediction. 0 or 1.
setBucket(int, double) - Method in class org.tensorflow.proto.HistogramProto.Builder: repeated double bucket = 7 [packed = true];
setBucketLimit(int, double) - Method in class org.tensorflow.proto.HistogramProto.Builder: Parallel arrays encoding the bucket boundaries and the bucket values. bucket(i) is the count for the bucket i.
setBufferedBytes(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of bytes stored in this node's buffer.
setBufferedElements(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of elements stored in this node's buffer.
setBuildConfiguration(BuildConfiguration) - Method in class org.tensorflow.proto.TestResults.Builder: The configuration of the build (compiled opt?
setBuildConfiguration(BuildConfiguration.Builder) - Method in class org.tensorflow.proto.TestResults.Builder: The configuration of the build (compiled opt?
setBuildCostModel(long) - Method in class org.tensorflow.proto.GraphOptions.Builder: The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
setBuildCostModelAfter(long) - Method in class org.tensorflow.proto.GraphOptions.Builder: The number of steps to skip before collecting statistics for the cost model.
setBusId(int) - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional bus locality of device.
setBusId(String) - Method in class org.tensorflow.proto.GPUInfo.Builder: e.g. "0000:04:00.0"
setBusIdBytes(ByteString) - Method in class org.tensorflow.proto.GPUInfo.Builder: e.g. "0000:04:00.0"
setBytes(long) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Byte size of the file.
setBytesConsumed(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of bytes consumed by the node.
setBytesInUse(long) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: int64 bytes_in_use = 2;
setBytesList(BytesList) - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
setBytesList(BytesList.Builder) - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.BytesList bytes_list = 1;
setBytesList(CollectionDef.BytesList) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
setBytesList(CollectionDef.BytesList.Builder) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.BytesList bytes_list = 2;
setBytesProduced(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of bytes produced by the node.
setBytesValue(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: bytes bytes_value = 6;
setCacheRpcResponse(boolean) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: Setting cache_rpc_response to true will enable sender side caching of response for RecvTensorAsync and RecvBufAsync to allow receiver to retry requests .
setCancelOpName(String) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: The operation to run to cancel the queue.
setCancelOpNameBytes(ByteString) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: The operation to run to cancel the queue.
setCanonicalizedInputSignature(Struct.StructuredValue) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
setCanonicalizedInputSignature(Struct.StructuredValue.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Input in canonicalized form that was received to create this concrete function.
setCapturedTensor(SavedObjectGraphOuterClass.CapturedTensor) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
setCapturedTensor(SavedObjectGraphOuterClass.CapturedTensor.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.CapturedTensor captured_tensor = 12;
setCardinality(long) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder: Cardinality of the dataset.
setCcFlags(int, String) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: CC compiler flags, if known
setChangelist(long) - Method in class org.tensorflow.proto.CommitId.Builder: Submitted changelist.
setCheckpointHash(long) - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of the checkpoint.
setCheckpointKey(String) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
setCheckpointKeyBytes(ByteString) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The generated name of the Tensor in the checkpoint.
setCheckpointPath(String) - Method in class org.tensorflow.proto.SessionLog.Builder: This checkpoint_path contains both the path and filename.
setCheckpointPathBytes(ByteString) - Method in class org.tensorflow.proto.SessionLog.Builder: This checkpoint_path contains both the path and filename.
setChildId(int, long) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XPlane.event_metadata map key for children events.
setChildren(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
setChildren(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
setChildren(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Objects which this object depends on: named edges in the dependency graph.
setChildren(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Objects which this object depends on.
setChunk(int, BfcMemoryMap.MemChunk) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
setChunk(int, BfcMemoryMap.MemChunk.Builder) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.MemChunk chunk = 3;
setClientTimeoutMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long to wait before garbage-collecting a client that hasn't heartbeated to the dispatcher.
setCloseOpName(String) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: The operation to run to close the queue.
setCloseOpNameBytes(ByteString) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: The operation to run to close the queue.
setCluster(ClusterDef) - Method in class org.tensorflow.proto.ServerDef.Builder: The cluster of which this server is a member.
setCluster(ClusterDef.Builder) - Method in class org.tensorflow.proto.ServerDef.Builder: The cluster of which this server is a member.
setClusterDef(ClusterDef) - Method in class org.tensorflow.proto.ConfigProto.Builder: Optional list of all workers to use in this session.
setClusterDef(ClusterDef.Builder) - Method in class org.tensorflow.proto.ConfigProto.Builder: Optional list of all workers to use in this session.
setClusterDeviceFilters(ClusterDeviceFilters) - Method in class org.tensorflow.proto.ServerDef.Builder: Device filters for remote tasks in the cluster.
setClusterDeviceFilters(ClusterDeviceFilters.Builder) - Method in class org.tensorflow.proto.ServerDef.Builder: Device filters for remote tasks in the cluster.
setClusterRegisterTimeoutInMs(long) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Maximum wait time for all members in the cluster to be registered.
setCode(String) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Source code contained in this file line.
setCode(Code) - Method in class org.tensorflow.proto.StatusProto.Builder: Status code as defined in tensorflow/tsl/protobuf/error_codes.proto.
setCodeBytes(ByteString) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Source code contained in this file line.
setCodeLocation(CodeLocation) - Method in class org.tensorflow.proto.Execution.Builder: Stack trace of the eager execution.
setCodeLocation(CodeLocation) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
setCodeLocation(CodeLocation.Builder) - Method in class org.tensorflow.proto.Execution.Builder: Stack trace of the eager execution.
setCodeLocation(CodeLocation.Builder) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: The unique ID for code location (stack trace) of the op's creation.
setCodeValue(int) - Method in class org.tensorflow.proto.StatusProto.Builder: Status code as defined in tensorflow/tsl/protobuf/error_codes.proto.
setCol(int) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Col number in the file line.
setCollectiveDeterministicSequentialExecution(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, make collective op execution order sequential and deterministic for potentially concurrent collective instances.
setCollectiveGraphKey(long) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
setCollectiveGroupLeader(String) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Task name for group resolution.
setCollectiveGroupLeaderBytes(ByteString) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Task name for group resolution.
setCollectiveNccl(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, use NCCL for CollectiveOps.
setCollectiveRingOrder(String) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
setCollectiveRingOrderBytes(ByteString) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
setColorspace(int) - Method in class org.tensorflow.proto.Summary.Image.Builder: Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA
setCommitId(CommitId) - Method in class org.tensorflow.proto.TestResults.Builder: The commit id (git hash or changelist)
setCommitId(CommitId.Builder) - Method in class org.tensorflow.proto.TestResults.Builder: The commit id (git hash or changelist)
setCommonSubgraphElimination(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Common subgraph elimination (default is ON) e.g.
setCommonSubgraphEliminationValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Common subgraph elimination (default is ON) e.g.
setComponentMetadata(int, Dataset.CompressedComponentMetadata) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
setComponentMetadata(int, Dataset.CompressedComponentMetadata.Builder) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Metadata for the components of the element.
setComponents(int, TensorInfo) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
setComponents(int, TensorInfo.Builder) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: A TensorInfo for each flattened component tensor.
setComponents(int, TensorProto) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
setComponents(int, TensorProto.Builder) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder: repeated .tensorflow.TensorProto components = 1;
setCompositeTensor(TensorInfo.CompositeTensor) - Method in class org.tensorflow.proto.TensorInfo.Builder: Generic encoding for CompositeTensors.
setCompositeTensor(TensorInfo.CompositeTensor.Builder) - Method in class org.tensorflow.proto.TensorInfo.Builder: Generic encoding for CompositeTensors.
setCompression(String) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder: Whether and how to compress the snapshot.
setCompression(DataService.DataServiceMetadata.Compression) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder: .tensorflow.data.DataServiceMetadata.Compression compression = 2;
setCompressionAlgorithm(String) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: The compression algorithm to be used.
setCompressionAlgorithmBytes(ByteString) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: The compression algorithm to be used.
setCompressionBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder: Whether and how to compress the snapshot.
setCompressionLevel(int) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: If compression_algorithm is set, the compression level to be used.
setCompressionValue(int) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder: .tensorflow.data.DataServiceMetadata.Compression compression = 2;
setComputeCost(long) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Estimate of the computational cost of this node, in microseconds.
setComputeCost(long) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Time it takes to run the op (in nanoseconds).
setComputeEfficiency(double) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Percentage of theoretical compute performance.
setComputeLevel(DatasetOptions.CardinalityOptions.ComputeLevel) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder: .tensorflow.data.CardinalityOptions.ComputeLevel compute_level = 1;
setComputeLevelValue(int) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder: .tensorflow.data.CardinalityOptions.ComputeLevel compute_level = 1;
setComputeTime(long) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Analytical estimate of the computational cost of this node, in microseconds.
setComputeTime(long) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Analytical compute cost (in nanoseconds).
setConcreteFunction(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder: Name of concrete function which contains the computed graph tensor.
setConcreteFunctionBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder: Name of concrete function which contains the computed graph tensor.
setConcreteFunctionName(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: Identifies a SavedConcreteFunction.
setConcreteFunctionNameBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: Identifies a SavedConcreteFunction.
setConcreteFunctions(int, String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: repeated string concrete_functions = 1;
setCondCtxt(CondContextDef) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
setCondCtxt(CondContextDef.Builder) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.CondContextDef cond_ctxt = 1;
setConstant(SavedObjectGraphOuterClass.SavedConstant) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
setConstant(SavedObjectGraphOuterClass.SavedConstant.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedConstant constant = 9;
setConstantFolding(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
setConstantFoldingValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
setConstNodeInfo(int, GraphTransferConstNodeInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
setConstNodeInfo(int, GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
setConstraint(int, KernelDef.AttrConstraint) - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
setConstraint(int, KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.proto.KernelDef.Builder: repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
setContainer(String) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Container in which this resource is placed.
setContainerBytes(ByteString) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Container in which this resource is placed.
setContent(ByteString) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder: The content to store for the plugin.
setContentType(String) - Method in class org.tensorflow.proto.Summary.Audio.Builder: string content_type = 5;
setContentTypeBytes(ByteString) - Method in class org.tensorflow.proto.Summary.Audio.Builder: string content_type = 5;
setContext(Features) - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.Features context = 1;
setContext(Features.Builder) - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.Features context = 1;
setContextName(String) - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the context.
setContextName(String) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the context.
setContextNameBytes(ByteString) - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the context.
setContextNameBytes(ByteString) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the context.
setControlInput(int, int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Ids of the control inputs for this node.
setControlOutput(int, String) - Method in class org.tensorflow.proto.OpDef.Builder: Named control outputs for this operation.
setCoordinatedJobList(int, CoordinationConfig.CoordinatedJob) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
setCoordinatedJobList(int, CoordinationConfig.CoordinatedJob.Builder) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: repeated .tensorflow.CoordinatedJob coordinated_job_list = 10;
setCoordinationConfig(CoordinationConfig.CoordinationServiceConfig) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Distributed coordination service configurations.
setCoordinationConfig(CoordinationConfig.CoordinationServiceConfig.Builder) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Distributed coordination service configurations.
setCooSparse(TensorInfo.CooSparse) - Method in class org.tensorflow.proto.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
setCooSparse(TensorInfo.CooSparse.Builder) - Method in class org.tensorflow.proto.TensorInfo.Builder: There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
setCost(float) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder: Aggregated cost value.
setCost(int, CostGraphDef.AggregatedCost) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
setCost(int, CostGraphDef.AggregatedCost.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.AggregatedCost cost = 2;
setCostGraph(CostGraphDef) - Method in class org.tensorflow.proto.RunMetadata.Builder: The cost graph for the computation defined by the run call.
setCostGraph(CostGraphDef.Builder) - Method in class org.tensorflow.proto.RunMetadata.Builder: The cost graph for the computation defined by the run call.
setCpuBudget(int) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: int32 cpu_budget = 2;
setCpuBudget(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Number of available logical threads.
setCpuGlobalJit(boolean) - Method in class org.tensorflow.proto.OptimizerOptions.Builder: CPU code will be autoclustered only if global_jit_level >= ON_1 and either: - this flag is true, or - TF_XLA_FLAGS contains --tf_xla_cpu_global_jit=true.
setCpuGovernor(String) - Method in class org.tensorflow.proto.CPUInfo.Builder: What kind of cpu scaling is enabled on the host.
setCpuGovernorBytes(ByteString) - Method in class org.tensorflow.proto.CPUInfo.Builder: What kind of cpu scaling is enabled on the host.
setCpuInfo(String) - Method in class org.tensorflow.proto.CPUInfo.Builder: Additional cpu information.
setCpuInfo(CPUInfo) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: CPU Information.
setCpuInfo(CPUInfo.Builder) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: CPU Information.
setCpuInfoBytes(ByteString) - Method in class org.tensorflow.proto.CPUInfo.Builder: Additional cpu information.
setCpuLayoutConversion(RewriterConfig.CpuLayout) - Method in class org.tensorflow.proto.RewriterConfig.Builder: CPU Conversion settings between NHCW and NCHW.
setCpuLayoutConversionValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: CPU Conversion settings between NHCW and NCHW.
setCpuTime(double) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Total cpu time used for all iterations (in seconds)
setCrc32C(int) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: The CRC32C checksum of the tensor bytes.
setCreationTimestamp(long) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Time when we started creating this snapshot.
setCrossTrainerCacheSizeBytes(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Maximum size of the cross-trainer cache in bytes.
setCurrentWork(ByteString) - Method in class org.tensorflow.proto.ReaderBaseState.Builder: bytes current_work = 4;
setCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
setCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.proto.RewriterConfig.Builder: list of CustomGraphOptimizers to apply.
setData(ByteString) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Compressed tensor bytes for all components of the element.
setData(ByteString) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: bytes data = 4;
setData(SavedSlice) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
setData(SavedSlice.Builder) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This exists in all but the first item of each checkpoint file.
setData(TensorProto) - Method in class org.tensorflow.proto.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
setData(TensorProto.Builder) - Method in class org.tensorflow.proto.SavedSlice.Builder: The raw data of the slice is stored as a TensorProto.
setDataClass(DataClass) - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Class of data stored in this time series.
setDataClassValue(int) - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Class of data stored in this time series.
setDatasetName(String) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: string dataset_name = 10;
setDatasetName(String) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: User-defined name for the dataset.
setDatasetNameBytes(ByteString) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: string dataset_name = 10;
setDatasetNameBytes(ByteString) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: User-defined name for the dataset.
setDataTransferAddress(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If `data_transfer_protocol` is set, the address of the data transfer server.
setDataTransferAddressBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If `data_transfer_protocol` is set, the address of the data transfer server.
setDataTransferPort(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If `data_transfer_protocol` is set, the port to which the data transfer server binds.
setDataTransferProtocol(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If set, the name of an alternative data transfer protocol for which the worker starts an additional server ("data transfer server"); the trainer can then get data from this server.
setDataTransferProtocolBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: If set, the name of an alternative data transfer protocol for which the worker starts an additional server ("data transfer server"); the trainer can then get data from this server.
setDatatype(DataType) - Method in class org.tensorflow.proto.SerializedDType.Builder: .tensorflow.DataType datatype = 1;
setDatatypeValue(int) - Method in class org.tensorflow.proto.SerializedDType.Builder: .tensorflow.DataType datatype = 1;
setDcomplexVal(int, double) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
setDebuggedDevice(DebuggedDevice) - Method in class org.tensorflow.proto.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
setDebuggedDevice(DebuggedDevice.Builder) - Method in class org.tensorflow.proto.DebugEvent.Builder: A device on which debugger-instrumented ops and/or tensors reside.
setDebuggedGraph(DebuggedGraph) - Method in class org.tensorflow.proto.DebugEvent.Builder: Information about a debugged graph.
setDebuggedGraph(DebuggedGraph.Builder) - Method in class org.tensorflow.proto.DebugEvent.Builder: Information about a debugged graph.
setDebugInfo(GraphDebugInfo) - Method in class org.tensorflow.proto.GraphDef.Builder: Stack traces for the nodes in this graph.
setDebugInfo(GraphDebugInfo.Builder) - Method in class org.tensorflow.proto.GraphDef.Builder: Stack traces for the nodes in this graph.
setDebugMetadata(DebugMetadata) - Method in class org.tensorflow.proto.DebugEvent.Builder: Metadata related to this debugging data.
setDebugMetadata(DebugMetadata.Builder) - Method in class org.tensorflow.proto.DebugEvent.Builder: Metadata related to this debugging data.
setDebugOps(int, String) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name(s) of the debugging op(s).
setDebugOptions(DebugOptions) - Method in class org.tensorflow.proto.RunOptions.Builder: EXPERIMENTAL.
setDebugOptions(DebugOptions.Builder) - Method in class org.tensorflow.proto.RunOptions.Builder: EXPERIMENTAL.
setDebugStripper(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
setDebugStripperValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Strips debug-related nodes from the graph (off by default).
setDebugTensorWatchOpts(int, DebugTensorWatch) - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
setDebugTensorWatchOpts(int, DebugTensorWatch.Builder) - Method in class org.tensorflow.proto.DebugOptions.Builder: Debugging options
setDebugUrls(int, String) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: URL(s) for debug targets(s).
setDefaultSessionConfig(ConfigProto) - Method in class org.tensorflow.proto.ServerDef.Builder: The default configuration for sessions that run on this server.
setDefaultSessionConfig(ConfigProto.Builder) - Method in class org.tensorflow.proto.ServerDef.Builder: The default configuration for sessions that run on this server.
setDefaultValue(AttrValue) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
setDefaultValue(AttrValue) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
setDefaultValue(AttrValue.Builder) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Specify a new default value to use for this attr.
setDefaultValue(AttrValue.Builder) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A reasonable default for this attribute if the user does not supply a value.
setDefaultValue(TensorProto) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
setDefaultValue(TensorProto.Builder) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorProto default_value = 3;
setDeferred(boolean) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: True if the deallocation is queued and will be performed later, e.g. for GPU lazy freeing of buffers.
setDeferredDeletionBytes(long) - Method in class org.tensorflow.proto.GPUOptions.Builder: Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code.
setDelayMs(long) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Start of profiling is delayed by this much (in milliseconds).
setDenseShapeTensorName(String) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
setDenseShapeTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here.
setDependencies(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
setDependencies(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Ordered list of dependencies that must be loaded before this object.
setDependencyOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Control dependency optimizations (default is ON).
setDependencyOptimizationValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Control dependency optimizations (default is ON).
setDeploymentMode(DataService.DeploymentMode) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder: .tensorflow.data.DeploymentMode deployment_mode = 1;
setDeploymentMode(DataService.DeploymentMode) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) tf.data service deployment mode.
setDeploymentModeValue(int) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder: .tensorflow.data.DeploymentMode deployment_mode = 1;
setDeploymentModeValue(int) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.) tf.data service deployment mode.
setDeprecated(boolean) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder: Set if this endpoint is deprecated.
setDeprecation(OpDeprecation) - Method in class org.tensorflow.proto.OpDef.Builder: Optional deprecation based on GraphDef versions.
setDeprecation(OpDeprecation.Builder) - Method in class org.tensorflow.proto.OpDef.Builder: Optional deprecation based on GraphDef versions.
setDeprecationMessage(String) - Method in class org.tensorflow.proto.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
setDeprecationMessageBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Builder: If this op is deprecated, set deprecation message to the message that should be logged when this op is used.
setDeprecationVersion(int) - Method in class org.tensorflow.proto.ApiDef.Builder: Major version when the op will be deleted.
setDeprecationVersion(int) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder: Major version when an endpoint will be deleted.
setDescription(String) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
setDescription(String) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
setDescription(String) - Method in class org.tensorflow.proto.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
setDescription(String) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Human readable description.
setDescription(String) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: Human-readable description.
setDescription(String) - Method in class org.tensorflow.proto.OpDef.Builder: Additional, longer human-readable description of what the Op does.
setDescription(String) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: Description of the stat (might be long).
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: Note: this will replace any inherited arg doc.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Builder: Additional, longer human-readable description of what the Op does.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Human readable description.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: Human-readable description.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.OpDef.Builder: Additional, longer human-readable description of what the Op does.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: Description of the stat (might be long).
setDescriptionPrefix(String) - Method in class org.tensorflow.proto.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
setDescriptionPrefixBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Builder: Modify an existing/inherited description by adding text to the beginning or end.
setDescriptionSuffix(String) - Method in class org.tensorflow.proto.ApiDef.Builder: string description_suffix = 10;
setDescriptionSuffixBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Builder: string description_suffix = 10;
setDestination(GraphTransferInfo.Destination) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Destination of graph transfer
setDestinationValue(int) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Destination of graph transfer
setDeterministic(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool deterministic = 1;
setDevice(String) - Method in class org.tensorflow.GraphOperationBuilder
setDevice(String) - Method in interface org.tensorflow.OperationBuilder: Set the device requested for computing the operation being built.
setDevice(String) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The device of the node.
setDevice(String) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: string device = 1;
setDevice(String) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Device where the tensor is located.
setDevice(String) - Method in class org.tensorflow.proto.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
setDevice(String) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Unique name for the device containing the resource.
setDevice(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder: A device specification indicating a required placement for the resource creation function, e.g.
setDevice(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: string device = 7;
setDevice(DevicePropertiesProtos.DeviceProperties) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Device on which the operation is run.
setDevice(DevicePropertiesProtos.DeviceProperties.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Device on which the operation is run.
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The device of the node.
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: string device = 1;
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Device where the tensor is located.
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.NodeDef.Builder: A (possibly partial) specification for the device on which this node should be placed.
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Unique name for the device containing the resource.
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder: A device specification indicating a required placement for the resource creation function, e.g.
setDeviceBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: string device = 7;
setDeviceFilters(int, String) - Method in class org.tensorflow.proto.ConfigProto.Builder: When any filters are present sessions will ignore all devices which do not match the filters.
setDeviceFilters(int, String) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder: repeated string device_filters = 1;
setDeviceId(int) - Method in class org.tensorflow.proto.DebuggedDevice.Builder: A debugger-generated ID for the device.
setDeviceId(int) - Method in class org.tensorflow.proto.InterconnectLink.Builder: int32 device_id = 1;
setDeviceInfo(int, Any) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
setDeviceInfo(int, Any.Builder) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Other devices that are attached and relevant (e.g.
setDeviceName(String) - Method in class org.tensorflow.proto.DebuggedDevice.Builder: Name of the device.
setDeviceName(String) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Name of the device that the op belongs to.
setDeviceName(String) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the device that the op is assigned to (if available).
setDeviceNameBytes(ByteString) - Method in class org.tensorflow.proto.DebuggedDevice.Builder: Name of the device.
setDeviceNameBytes(ByteString) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Name of the device that the op belongs to.
setDeviceNameBytes(ByteString) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the device that the op is assigned to (if available).
setDeviceOrdinal(int, int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Virtual Device ordinal number determines the device ID of the device.
setDevicePersistentMemory(long) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: Deprecated.
tensorflow.OpPerformance.OpMemory.device_persistent_memory is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=115
setDevicePersistentMemorySize(long) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Deprecated.
tensorflow.CostGraphDef.Node.device_persistent_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=54
setDevicePersistentMemorySize(long) - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_persistent_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=49
setDevicePersistentTensorAllocIds(int, long) - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_persistent_tensor_alloc_ids is deprecated. See tensorflow/core/framework/step_stats.proto;l=50
setDeviceTempMemory(long) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: Deprecated.
tensorflow.OpPerformance.OpMemory.device_temp_memory is deprecated. See tensorflow/core/grappler/costs/op_performance_data.proto;l=114
setDeviceTempMemorySize(long) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Deprecated.
tensorflow.CostGraphDef.Node.device_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=53
setDeviceTempMemorySize(long) - Method in class org.tensorflow.proto.MemoryStats.Builder: Deprecated.
tensorflow.MemoryStats.device_temp_memory_size is deprecated. See tensorflow/core/framework/step_stats.proto;l=48
setDeviceTracerLevel(int) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Levels of device tracing: (version >= 1) - Level 0 is used to disable device traces. - Level 1 is used to enable device traces. - More levels might be defined for specific device for controlling the verbosity of the trace.
setDeviceType(String) - Method in class org.tensorflow.proto.DeviceAttributes.Builder: String representation of device_type.
setDeviceType(String) - Method in class org.tensorflow.proto.KernelDef.Builder: Type of device this kernel runs on.
setDeviceType(ProfilerOptions.ProfileOptions.DeviceType) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.proto.DeviceAttributes.Builder: String representation of device_type.
setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.proto.KernelDef.Builder: Type of device this kernel runs on.
setDeviceTypeValue(int) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Device type to profile/trace: (version >= 1) DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
setDevStats(int, DeviceStepStats) - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
setDevStats(int, DeviceStepStats.Builder) - Method in class org.tensorflow.proto.StepStats.Builder: repeated .tensorflow.DeviceStepStats dev_stats = 1;
setDictValue(Struct.DictValue) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a dict `Value`.
setDictValue(Struct.DictValue.Builder) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a dict `Value`.
setDiff1d(Operand, Operand) - Method in class org.tensorflow.op.Ops: Computes the difference between two lists of numbers or strings.
setDiff1d(Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Computes the difference between two lists of numbers or strings.
SetDiff1d<T,U> - Class in org.tensorflow.op.core: Computes the difference between two lists of numbers or strings.
SetDiff1d(Operation) - Constructor for class org.tensorflow.op.core.SetDiff1d
SetDiff1d.Inputs<T> - Class in org.tensorflow.op.core
setDim(int, TensorShapeProto.Dim) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
setDim(int, TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
setDimension(String) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder: Aggregated cost dimension (e.g.
setDimensionBytes(ByteString) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder: Aggregated cost dimension (e.g.
setDisableEagerExecutorStreamingEnqueue(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether eager remote execution will stream all the function calls or allow them to happen in parallel.
setDisableFunctionalOpsLowering(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether functional control flow op lowering should be disabled.
setDisableMetaOptimizer(boolean) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Disable the entire meta optimizer (off by default).
setDisableModelPruning(boolean) - Method in class org.tensorflow.proto.RewriterConfig.Builder: If true, don't remove unnecessary ops from the graph
setDisableOptimizeForStaticGraph(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, the session will treat the graph as being non-static for optimization purposes.
setDisableOutputPartitionGraphs(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, the session will not store an additional copy of the graph for each subgraph.
setDisableSessionConnectionSharing(boolean) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: Disables TCP connection sharing when opening a new RPC channel.
setDisableTfgOptimizer(boolean) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Disable the TFG optimizer (off by default).
setDisableThreadSpinning(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If using a direct session, disable spinning while waiting for work in the thread pool.
setDisallowRetryOnAllocationFailure(boolean) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: By default, BFCAllocator may sleep when it runs out of memory, in the hopes that another thread will free up memory in the meantime.
setDispatcherAddress(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the dispatcher to register with.
setDispatcherAddressBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the dispatcher to register with.
setDispatcherTimeoutMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: How long to retry requests to the dispatcher before giving up and reporting an error.
setDisplayId(long) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Display id of this line.
setDisplayName(String) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Name of the event shown in trace viewer.
setDisplayName(String) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Name of this XLine to display in trace viewer.
setDisplayName(String) - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
setDisplayNameBytes(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Name of the event shown in trace viewer.
setDisplayNameBytes(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Name of this XLine to display in trace viewer.
setDisplayNameBytes(ByteString) - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Display name for viewing in TensorBoard.
setDistributeOptions(DatasetOptions.DistributeOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The distribution strategy options associated with the dataset.
setDistributeOptions(DatasetOptions.DistributeOptions.Builder) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The distribution strategy options associated with the dataset.
setDoCommonSubexpressionElimination(boolean) - Method in class org.tensorflow.proto.OptimizerOptions.Builder: If true, optimize the graph using common subexpression elimination.
setDoConstantFolding(boolean) - Method in class org.tensorflow.proto.OptimizerOptions.Builder: If true, perform constant folding optimization on the graph.
setDoFunctionInlining(boolean) - Method in class org.tensorflow.proto.OptimizerOptions.Builder: If true, perform function inlining on the graph.
setDoubleVal(int, double) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_DOUBLE.
setDoubleValue(double) - Method in class org.tensorflow.proto.EntryValue.Builder: double double_value = 1;
setDoubleValue(double) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: double double_value = 2;
setDtype(int, DataType) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
setDtype(DataType) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: The tensor dtype and shape.
setDtype(DataType) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.DataType dtype = 2;
setDtype(DataType) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
setDtype(DataType) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The dtype of the component tensor.
setDtype(DataType) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Tensor type.
setDtype(DataType) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
setDtype(DataType) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
setDtype(DataType) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
setDtype(DataType) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Data type of the tensor.
setDtype(DataType) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.DataType dtype = 1;
setDtype(DataType) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
setDtype(DataType) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
setDtype(DataType) - Method in class org.tensorflow.proto.TensorDescription.Builder: Data type of tensor elements
setDtype(DataType) - Method in class org.tensorflow.proto.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
setDtype(DataType) - Method in class org.tensorflow.proto.TensorProto.Builder: Data type of the tensor.
setDtype(DataType) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
setDtypesAndShapes(int, ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
setDtypesAndShapes(int, ResourceHandleProto.DtypeAndShape.Builder) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Data types and shapes for the underlying resource.
setDtypeValue(int) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: The tensor dtype and shape.
setDtypeValue(int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.DataType dtype = 2;
setDtypeValue(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.DataType dtype = 4;
setDtypeValue(int) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The dtype of the component tensor.
setDtypeValue(int) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Tensor type.
setDtypeValue(int) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: .tensorflow.DataType dtype = 5;
setDtypeValue(int) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
setDtypeValue(int) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: .tensorflow.DataType dtype = 3;
setDtypeValue(int) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Data type of the tensor.
setDtypeValue(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
setDtypeValue(int) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.DataType dtype = 3;
setDtypeValue(int) - Method in class org.tensorflow.proto.TensorDescription.Builder: Data type of tensor elements
setDtypeValue(int) - Method in class org.tensorflow.proto.TensorInfo.Builder: .tensorflow.DataType dtype = 2;
setDtypeValue(int) - Method in class org.tensorflow.proto.TensorProto.Builder: Data type of the tensor.
setDtypeValue(int) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: .tensorflow.DataType dtype = 1;
setDtypeValue(int, int) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: A list of tensor dtype corresponding to each element of the snapshot.
setDurationMs(long) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: The local profiler collects `duration_ms` milliseconds of data.
setDurationPs(long) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: Duration of the event in picoseconds.
setDurationPs(long) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Profiling duration for this line in picoseconds.
setElement(int, MemmappedFileSystem.MemmappedFileSystemDirectoryElement) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
setElement(int, MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder: repeated .tensorflow.MemmappedFileSystemDirectoryElement element = 1;
setElementSpec(ByteString) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder: Serialized element spec.
setElementSpec(ByteString) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder: The element spec of the snapshotted dataset.
setEnable(boolean) - Method in class org.tensorflow.proto.AutoParallelOptions.Builder: bool enable = 1;
setEnableBfloat16Sendrecv(boolean) - Method in class org.tensorflow.proto.GraphOptions.Builder: If true, transfer float values between processes as bfloat16.
setEnabled(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: bool enabled = 1;
setEnableHealthCheck(boolean) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Whether to enable the health check mechanism.
setEnableHloProto(boolean) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Whether serialize hlo_proto when XLA is used.
setEnableMlirBridge(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based TF->XLA bridge.
setEnableMlirGraphOptimization(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based Graph optimizations.
setEnableMultiHost(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, use Pathways with TFRT API for multi host support.
setEnableOp(int, String) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder: If present, only perform optimization for these ops.
setEnableRecvScheduling(boolean) - Method in class org.tensorflow.proto.GraphOptions.Builder: If true, use control flow to schedule the activation of Recv nodes.
setEncodedAudioString(ByteString) - Method in class org.tensorflow.proto.Summary.Audio.Builder: Encoded audio data and its associated RFC 2045 content type (e.g.
setEncodedImageString(ByteString) - Method in class org.tensorflow.proto.Summary.Image.Builder: Image data in encoded format.
setEndianness(BundleHeaderProto.Endianness) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
setEndiannessValue(int) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: .tensorflow.BundleHeaderProto.Endianness endianness = 2;
setEndpoint(int, ApiDef.Endpoint) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
setEndpoint(int, ApiDef.Endpoint.Builder) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
setEnqueueOpName(int, String) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of enqueue operations.
setEntries(BenchmarkEntries) - Method in class org.tensorflow.proto.TestResults.Builder: The list of tests or benchmarks in this run.
setEntries(BenchmarkEntries.Builder) - Method in class org.tensorflow.proto.TestResults.Builder: The list of tests or benchmarks in this run.
setEntry(int, BenchmarkEntry) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
setEntry(int, BenchmarkEntry.Builder) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder: repeated .tensorflow.BenchmarkEntry entry = 1;
setErrors(int, String) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Errors (if any) in the generation of planes.
setErrorSource(CorePlatformPayloads.ErrorSourceProto.ErrorSource) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder: .tensorflow.core.platform.ErrorSourceProto.ErrorSource error_source = 1;
setErrorSourceValue(int) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder: .tensorflow.core.platform.ErrorSourceProto.ErrorSource error_source = 1;
setEvents(int, Xplane.XEvent) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
setEvents(int, Xplane.XEvent.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: XEvents within the same XLine should not overlap in time, but they can be nested.
setExecution(Execution) - Method in class org.tensorflow.proto.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
setExecution(Execution.Builder) - Method in class org.tensorflow.proto.DebugEvent.Builder: Execution of an op or a Graph (e.g., a tf.function).
setExecutionTimeLogNormal(OpPerformanceData.LogNormalDistribution) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
setExecutionTimeLogNormal(OpPerformanceData.LogNormalDistribution.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.LogNormalDistribution execution_time_log_normal = 11;
setExecutionTimeNormal(OpPerformanceData.NormalDistribution) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
setExecutionTimeNormal(OpPerformanceData.NormalDistribution.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.NormalDistribution execution_time_normal = 10;
setExecutorType(String) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
setExecutorTypeBytes(ByteString) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Which executor to use, the default executor will be used if it is an empty string or "DEFAULT"
setExitCode(int) - Method in class org.tensorflow.proto.RequestedExitCode.Builder: int32 exit_code = 1;
setExitCode(RequestedExitCode) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
setExitCode(RequestedExitCode.Builder) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.RequestedExitCode exit_code = 3;
setExperimental(ConfigProto.Experimental) - Method in class org.tensorflow.proto.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
setExperimental(ConfigProto.Experimental.Builder) - Method in class org.tensorflow.proto.ConfigProto.Builder: .tensorflow.ConfigProto.Experimental experimental = 16;
setExperimental(GPUOptions.Experimental) - Method in class org.tensorflow.proto.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
setExperimental(GPUOptions.Experimental.Builder) - Method in class org.tensorflow.proto.GPUOptions.Builder: Everything inside experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
setExperimental(RunOptions.Experimental) - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
setExperimental(RunOptions.Experimental.Builder) - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.Experimental experimental = 8;
setExperimentalConditionalCodeMotion(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Conditional code motion (default is ON).
setExperimentalConditionalCodeMotionValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Conditional code motion (default is ON).
setExperimentalDebugInfo(NodeDef.ExperimentalDebugInfo) - Method in class org.tensorflow.proto.NodeDef.Builder: This stores debug information associated with the node.
setExperimentalDebugInfo(NodeDef.ExperimentalDebugInfo.Builder) - Method in class org.tensorflow.proto.NodeDef.Builder: This stores debug information associated with the node.
setExperimentalDisableCompressedTensorOptimization(boolean) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Disable optimizations that assume compressed tensors.
setExperimentalDisableFoldingQuantizationEmulation(boolean) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Disable folding quantization emulation ops such as FakeQuantWithMinMax* and QuantizeAndDequantize*.
setExperimentalDistributedVariableComponents(int, SavedObjectGraphOuterClass.SavedVariable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
setExperimentalDistributedVariableComponents(int, SavedObjectGraphOuterClass.SavedVariable.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: List of component variables for a distributed variable.
setExperimentalFullType(FullTypeDef) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Experimental.
setExperimentalFullType(FullTypeDef.Builder) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Experimental.
setExperimentalType(FullTypeDef) - Method in class org.tensorflow.proto.NodeDef.Builder: The complete type of this node.
setExperimentalType(FullTypeDef.Builder) - Method in class org.tensorflow.proto.NodeDef.Builder: The complete type of this node.
setExplanation(String) - Method in class org.tensorflow.proto.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
setExplanationBytes(ByteString) - Method in class org.tensorflow.proto.OpDeprecation.Builder: Explanation of why it was deprecated and what to use instead.
setExtent(int, TensorSliceProto.Extent) - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
setExtent(int, TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.proto.TensorSliceProto.Builder: Extent of the slice in all tensor dimensions.
setExternalStatePolicy(DatasetOptions.ExternalStatePolicy) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
setExternalStatePolicyValue(int) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: .tensorflow.data.ExternalStatePolicy external_state_policy = 6;
setF(float) - Method in class org.tensorflow.proto.AttrValue.Builder: "float"
setF(int, float) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(float)"
setFailOnOptimizerErrors(boolean) - Method in class org.tensorflow.proto.RewriterConfig.Builder: If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
setFaultTolerantMode(boolean) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: Whether to run in fault tolerant mode, where dispatcher state is saved across restarts.
setFeature(int, Feature) - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
setFeature(int, Feature.Builder) - Method in class org.tensorflow.proto.FeatureList.Builder: repeated .tensorflow.Feature feature = 1;
setFeatureLists(FeatureLists) - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
setFeatureLists(FeatureLists.Builder) - Method in class org.tensorflow.proto.SequenceExample.Builder: .tensorflow.FeatureLists feature_lists = 2;
setFeatures(Features) - Method in class org.tensorflow.proto.Example.Builder: .tensorflow.Features features = 1;
setFeatures(Features.Builder) - Method in class org.tensorflow.proto.Example.Builder: .tensorflow.Features features = 1;
setFeed(int, String) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be fed in the callable.
setFetch(int, String) - Method in class org.tensorflow.proto.CallableOptions.Builder: Fetches.
setFetchSkipSync(boolean) - Method in class org.tensorflow.proto.CallableOptions.Builder: By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced.
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AllocationDescription.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AllocationRecord.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ApiDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ApiDefs.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AssetFileDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AttrValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BuildConfiguration.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BundleEntryProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.BytesList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CallableOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ClusterDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CodeLocation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CollectionDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CommitId.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CondContextDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ConfigProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CostGraphDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.CPUInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebugEvent.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebuggedDevice.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebuggedGraph.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebugMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebugOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DeviceAttributes.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DeviceLocality.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.DeviceStepStats.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.EntryValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Event.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Example.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Execution.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Feature.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FeatureList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FeatureLists.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Features.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FingerprintDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FloatList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FullTypeDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FunctionDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GPUInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GPUOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GradientDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphOpCreation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.HistogramProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Int64List.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.InterconnectLink.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.JobDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.KernelDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.KernelList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.LocalLinks.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MachineConfiguration.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryLogStep.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MemoryStats.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MetaGraphDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.MetricEntry.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.NameAttrList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.NamedTensorProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.NodeDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.NodeExecStats.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.NodeOutput.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpDeprecation.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.OptimizerOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.PlatformInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ReaderBaseState.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RegisteredGradient.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RequestedExitCode.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RewriterConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RunConfiguration.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RunMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RunOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedModel.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedSlice.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SaverDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SequenceExample.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SerializedDType.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ServerDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SessionLog.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SessionMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SignatureDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SourceFile.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SourceMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.StackFrameWithId.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.StatusProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.StepStats.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.DictValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.ListValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.PairValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Summary.Audio.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Summary.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Summary.Image.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.Summary.Value.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SummaryDescription.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SummaryMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorConnection.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorDescription.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorInfo.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorShapeProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorSliceProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TestResults.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.ValuesDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.VariableDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.VerifierConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.VersionDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.WatchdogConfig.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.WhileContextDef.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
setFileIndex(int) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: File name index, which can be used to retrieve the file name string from `files`.
setFileLineCol(GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
setFileLineCol(GraphDebugInfo.FileLineCol.Builder) - Method in class org.tensorflow.proto.StackFrameWithId.Builder: Stack frame, i.e., a frame of a stack trace, containing information regarding the file name, line number, function name, code content of the line, and column number (if available).
setFileLineCols(int, GraphDebugInfo.FileLineCol) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
setFileLineCols(int, GraphDebugInfo.FileLineCol.Builder) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: Deprecated.
setFilename(String) - Method in class org.tensorflow.proto.AssetFileDef.Builder: The filename within an assets directory.
setFilenameBytes(ByteString) - Method in class org.tensorflow.proto.AssetFileDef.Builder: The filename within an assets directory.
setFilenameTensorName(String) - Method in class org.tensorflow.proto.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
setFilenameTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.SaverDef.Builder: The name of the tensor in which to specify the filename when saving or restoring a model checkpoint.
setFilePath(String) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Path to the source code file.
setFilePath(String) - Method in class org.tensorflow.proto.SourceFile.Builder: Path to the file.
setFilePathBytes(ByteString) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Path to the source code file.
setFilePathBytes(ByteString) - Method in class org.tensorflow.proto.SourceFile.Builder: Path to the file.
setFiles(int, String) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder: This stores all the source code file names and can be indexed by the `file_index`.
setFileVersion(String) - Method in class org.tensorflow.proto.DebugMetadata.Builder: Version of the DebugEvent file format.
setFileVersion(String) - Method in class org.tensorflow.proto.Event.Builder: An event file was started, with the specified version.
setFileVersionBytes(ByteString) - Method in class org.tensorflow.proto.DebugMetadata.Builder: Version of the DebugEvent file format.
setFileVersionBytes(ByteString) - Method in class org.tensorflow.proto.Event.Builder: An event file was started, with the specified version.
setFilterFusion(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool filter_fusion = 6;
setFilterParallelization(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool filter_parallelization = 18;
setFinalized(boolean) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: bool finalized = 1000;
setFixedLenFeature(FixedLenFeatureProto) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
setFixedLenFeature(FixedLenFeatureProto.Builder) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.FixedLenFeatureProto fixed_len_feature = 1;
setFloat64Value(double) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a double-precision floating-point value (a Python `float`).
setFloat8Val(ByteString) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_FLOAT8_*, use variable-sized set of bytes (i.e. the equivalent of repeated uint8, if such a thing existed).
setFloatList(CollectionDef.FloatList) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
setFloatList(CollectionDef.FloatList.Builder) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.FloatList float_list = 4;
setFloatList(FloatList) - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.FloatList float_list = 2;
setFloatList(FloatList.Builder) - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.FloatList float_list = 2;
setFloatVal(int, float) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_FLOAT.
setForceDisable(boolean) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Disables coordination service.
setForceGpuCompatible(boolean) - Method in class org.tensorflow.proto.GPUOptions.Builder: Force all tensors to be gpu_compatible.
setFragmentationMetric(float) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: float fragmentation_metric = 5;
setFrameId(int, long) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder: repeated fixed64 frame_id = 2 [packed = true];
setFrameworkType(int, String) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: List of frameworks used to generate this dataset.
setFreedAtCount(long) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: uint64 freed_at_count = 6;
setFrequency(long) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Core Frequency in Mhz
setFromTensor(String) - Method in class org.tensorflow.proto.TensorConnection.Builder: A tensor name.
setFromTensorBytes(ByteString) - Method in class org.tensorflow.proto.TensorConnection.Builder: A tensor name.
setFullargspec(Struct.StructuredValue) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
setFullargspec(Struct.StructuredValue.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: Full arg spec from inspect.getfullargspec().
setFullName(String) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
setFullName(String) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
setFullNameBytes(ByteString) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Name of the full variable of which this is a slice.
setFullNameBytes(ByteString) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: The full name of the variable/tensor, if applicable.
setFullShape(int, long) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of the full variable.
setFunc(int, NameAttrList) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
setFunc(int, NameAttrList.Builder) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(attr)"
setFunc(String) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Name of function contains the file line.
setFunc(NameAttrList) - Method in class org.tensorflow.proto.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
setFunc(NameAttrList.Builder) - Method in class org.tensorflow.proto.AttrValue.Builder: "func" represents a function. func.name is a function's name or a primitive op's name. func.attr.first is the name of an attr defined for that function. func.attr.second is the value for that attr in the instantiation.
setFuncBytes(ByteString) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Name of function contains the file line.
setFunction(int, FunctionDef) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
setFunction(int, FunctionDef.Builder) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.FunctionDef function = 1;
setFunction(SavedObjectGraphOuterClass.SavedFunction) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
setFunction(SavedObjectGraphOuterClass.SavedFunction.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedFunction function = 6;
setFunctionGraph(GraphDef) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Optimized function graph.
setFunctionGraph(GraphDef.Builder) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Optimized function graph.
setFunctionGraphs(int, RunMetadata.FunctionGraphs) - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
setFunctionGraphs(int, RunMetadata.FunctionGraphs.Builder) - Method in class org.tensorflow.proto.RunMetadata.Builder: This is only populated for graphs that are run as functions in TensorFlow V2.
setFunctionName(String) - Method in class org.tensorflow.proto.GradientDef.Builder: The function name.
setFunctionNameBytes(ByteString) - Method in class org.tensorflow.proto.GradientDef.Builder: The function name.
setFunctionOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Function optimizations (default is ON).
setFunctionOptimizationValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Function optimizations (default is ON).
setFunctionSpec(SavedObjectGraphOuterClass.FunctionSpec) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
setFunctionSpec(SavedObjectGraphOuterClass.FunctionSpec) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
setFunctionSpec(SavedObjectGraphOuterClass.FunctionSpec.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder: The spec of the function that this ConcreteFunction is traced from.
setFunctionSpec(SavedObjectGraphOuterClass.FunctionSpec.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder: .tensorflow.FunctionSpec function_spec = 2;
setGapTimes(int, long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: repeated uint64 gap_times = 6;
setGcDynamicShardingJobs(boolean) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: Whether dynamically sharded jobs should be eligible for garbage collection.
setGlobalJitLevel(OptimizerOptions.GlobalJitLevel) - Method in class org.tensorflow.proto.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
setGlobalJitLevelValue(int) - Method in class org.tensorflow.proto.OptimizerOptions.Builder: .tensorflow.OptimizerOptions.GlobalJitLevel global_jit_level = 5;
setGlobalName(String) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder: The global name of the threadpool.
setGlobalNameBytes(ByteString) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder: The global name of the threadpool.
setGlobalStep(long) - Method in class org.tensorflow.proto.DebugOptions.Builder: Caller-specified global step count.
setGpuHostMemDisallowGrowth(boolean) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If true, then the host allocator allocates its max memory all upfront and never grows.
setGpuHostMemLimitInMb(float) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: Memory limit for "GPU host allocator", aka pinned memory allocator.
setGpuOptions(GPUOptions) - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all GPUs.
setGpuOptions(GPUOptions.Builder) - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all GPUs.
setGpuSystemMemorySizeInMb(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: Memory limit for gpu system.
setGradient(int, GradientDef) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
setGradient(int, GradientDef.Builder) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.GradientDef gradient = 2;
setGradientFunc(String) - Method in class org.tensorflow.proto.GradientDef.Builder: The gradient function's name.
setGradientFunc(String) - Method in class org.tensorflow.proto.RegisteredGradient.Builder: The gradient function's name.
setGradientFuncBytes(ByteString) - Method in class org.tensorflow.proto.GradientDef.Builder: The gradient function's name.
setGradientFuncBytes(ByteString) - Method in class org.tensorflow.proto.RegisteredGradient.Builder: The gradient function's name.
setGraphDef(ByteString) - Method in class org.tensorflow.proto.Event.Builder: An encoded version of a GraphDef.
setGraphDef(GraphDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: GraphDef.
setGraphDef(GraphDef.Builder) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: GraphDef.
setGraphDefProgramHash(long) - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of regularized graph_def.
setGraphExecutionTrace(GraphExecutionTrace) - Method in class org.tensorflow.proto.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
setGraphExecutionTrace(GraphExecutionTrace.Builder) - Method in class org.tensorflow.proto.DebugEvent.Builder: A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
setGraphHash(String) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
setGraphHashBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Stores the fingerprint of the graph that describes the dataset that is snapshotted.
setGraphId(String) - Method in class org.tensorflow.proto.DebugEvent.Builder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
setGraphId(String) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: An ID for the graph.
setGraphId(String) - Method in class org.tensorflow.proto.Execution.Builder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
setGraphId(String) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Unique ID of the graph (generated by debugger).
setGraphIdBytes(ByteString) - Method in class org.tensorflow.proto.DebugEvent.Builder: The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
setGraphIdBytes(ByteString) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: An ID for the graph.
setGraphIdBytes(ByteString) - Method in class org.tensorflow.proto.Execution.Builder: The graph that's executed: applicable only to the eager execution of a FuncGraph.
setGraphIdBytes(ByteString) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Unique ID of the graph (generated by debugger).
setGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
setGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: Input Node parameters of transferred graph
setGraphName(String) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Name of the graph (if available).
setGraphName(String) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the graph that the op is a part of (if available).
setGraphNameBytes(ByteString) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Name of the graph (if available).
setGraphNameBytes(ByteString) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the graph that the op is a part of (if available).
setGraphOpCreation(GraphOpCreation) - Method in class org.tensorflow.proto.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
setGraphOpCreation(GraphOpCreation.Builder) - Method in class org.tensorflow.proto.DebugEvent.Builder: The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
setGraphOpName(String) - Method in class org.tensorflow.proto.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
setGraphOpNameBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Builder: Name of the op (in the OpDef) to specify the API for.
setGraphOptions(GraphOptions) - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all graphs.
setGraphOptions(GraphOptions.Builder) - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to all graphs.
setGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
setGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
setHalfVal(int, int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_HALF, DT_BFLOAT16.
setHandle(String) - Method in class org.tensorflow.proto.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
setHandleBytes(ByteString) - Method in class org.tensorflow.proto.MemoryLogStep.Builder: Handle describing the feeds and fetches of the step.
setHandleData(int, ResourceHandleProto.DtypeAndShape) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
setHandleData(int, ResourceHandleProto.DtypeAndShape.Builder) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: The handle data for resource inputs.
setHandleData(CppShapeInference.CppShapeInferenceResult.HandleData) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
setHandleData(CppShapeInference.CppShapeInferenceResult.HandleData.Builder) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.core.CppShapeInferenceResult.HandleData handle_data = 4;
setHasCheckpointValues(BoolValue) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Whether this object has checkpoint values or descendants with checkpoint values.
setHasCheckpointValues(BoolValue.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Whether this object has checkpoint values or descendants with checkpoint values.
setHash(String) - Method in class org.tensorflow.proto.CommitId.Builder: string hash = 2;
setHashBytes(ByteString) - Method in class org.tensorflow.proto.CommitId.Builder: string hash = 2;
setHashCode(long) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Hash code for the type of the resource.
setHasMinimum(boolean) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: For type == "int", this is a minimum value.
setHasSingleReference(boolean) - Method in class org.tensorflow.proto.AllocationDescription.Builder: Set if this tensor only has one remaining reference
setHealthStatus(WorkerHealth) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: .tensorflow.WorkerHealth health_status = 1;
setHealthStatusValue(int) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: .tensorflow.WorkerHealth health_status = 1;
setHeartbeatIntervalMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: How often the worker should heartbeat to the master.
setHeartbeatTimeoutInMs(long) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Heartbeat timeout, if a task does not record heartbeat in this time window, it will be considered disconnected.
setHeight(int) - Method in class org.tensorflow.proto.Summary.Image.Builder: Dimensions of the image.
setHisto(HistogramProto) - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
setHisto(HistogramProto.Builder) - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.HistogramProto histo = 5;
setHost(String) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: The host name on which a source code file is located.
setHostBytes(ByteString) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: The host name on which a source code file is located.
setHostMemoryArg(int, String) - Method in class org.tensorflow.proto.KernelDef.Builder: Names of the Op's input_/output_args that reside in host memory instead of device memory.
setHostname(String) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Host name of machine that ran the benchmark.
setHostname(String) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: string hostname = 3;
setHostName(String) - Method in class org.tensorflow.proto.CodeLocation.Builder: Host name on which the source files are located.
setHostName(String) - Method in class org.tensorflow.proto.SourceFile.Builder: Name of the host on which the file is located.
setHostnameBytes(ByteString) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Host name of machine that ran the benchmark.
setHostnameBytes(ByteString) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: string hostname = 3;
setHostNameBytes(ByteString) - Method in class org.tensorflow.proto.CodeLocation.Builder: Host name on which the source files are located.
setHostNameBytes(ByteString) - Method in class org.tensorflow.proto.SourceFile.Builder: Name of the host on which the file is located.
setHostnames(int, String) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: List of hostnames that XPlanes are generated from.
setHostTempMemorySize(long) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Deprecated.
tensorflow.CostGraphDef.Node.host_temp_memory_size is deprecated. See tensorflow/core/framework/cost_graph.proto;l=52
setHostTracerLevel(int) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Levels of host tracing: (version >= 1) - Level 0 is used to disable host traces. - Level 1 enables tracing of only user instrumented (or default) TraceMe. - Level 2 enables tracing of all level 1 TraceMe(s) and instrumented high level program execution details (expensive TF ops, XLA ops, etc).
setI(int, long) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(int)"
setI(long) - Method in class org.tensorflow.proto.AttrValue.Builder: "int"
setI(long) - Method in class org.tensorflow.proto.FullTypeDef.Builder: TODO(mdan): list/tensor, map?
setId(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The id of the node.
setId(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Unique node ID.
setId(long) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XPlane.event_metadata map key.
setId(long) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Id of this line, can be repeated within an XPlane.
setId(long) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: int64 id = 1;
setId(long) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: XPlane.stat_metadata map key.
setId(String) - Method in class org.tensorflow.proto.StackFrameWithId.Builder: A unique ID for the stack frame: A UUID-like string.
setIdBytes(ByteString) - Method in class org.tensorflow.proto.StackFrameWithId.Builder: A unique ID for the stack frame: A UUID-like string.
setIdCounter(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: Counter for node IDs of this model.
setIdentifier(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Corresponds to a registration of the type to use in the loading program.
setIdentifierBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Corresponds to a registration of the type to use in the loading program.
setImage(Summary.Image) - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
setImage(Summary.Image.Builder) - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.Summary.Image image = 4;
setImplementationSelector(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Enable the swap of kernel implementations based on the device placement (default is ON).
setImplementationSelectorValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Enable the swap of kernel implementations based on the device placement (default is ON).
setInaccurate(boolean) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Are the costs inaccurate?
setInArg(int, ApiDef.Arg) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
setInArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg in_arg = 4;
setIncarnation(long) - Method in class org.tensorflow.proto.DeviceAttributes.Builder: A device is assigned a global unique number each time it is initialized.
setIncludeDatasetOps(boolean) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: We don't collect the dataset ops by default for better trace-viewer scalability.
setIndex(int) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Index of the output being set.
setIndices - Variable in class org.tensorflow.op.core.SetSize.Inputs: 2D Tensor, indices of a SparseTensor.
setIndicesOutputTensorName(String) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
setIndicesOutputTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string indices_output_tensor_name = 3;
setIndicesTensorName(String) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?
setIndicesTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The indices Tensor must have dtype int64 and shape [?
setInferShapes(boolean) - Method in class org.tensorflow.proto.GraphOptions.Builder: Annotate each Node with Op output shape data, to the extent it can be statically inferred.
setInitialized(boolean) - Method in class org.tensorflow.framework.metrics.BaseMetric: Sets the initialized indicator
setInitializerName(String) - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the initializer op.
setInitializerNameBytes(ByteString) - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the initializer op.
setInitialParallelism(long) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: int64 initial_parallelism = 5;
setInitialValueName(String) - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the tensor holding the variable's initial value.
setInitialValueNameBytes(ByteString) - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the tensor holding the variable's initial value.
setInjectPrefetch(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool inject_prefetch = 19;
setInput(int, String) - Method in class org.tensorflow.proto.NodeDef.Builder: Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
setInputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
setInputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the input(s).
setInputBatchDimension(long) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents batch in the input.
setInputCount(int) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 input_count = 6;
setInputFeatureDimension(long) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents features in the input.
setInputInfo(int, CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
setInputInfo(int, CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
setInputNames(int, String) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Names of the input tensors to the op.
setInputProcessingTimeCount(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: int64 input_processing_time_count = 13;
setInputProcessingTimeSum(double) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Statistic of inputs processing time history.
setInputs(int, long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: IDs of inputs of this node.
setInputs(int, OpPerformanceData.OpInfo.TensorProperties) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
setInputs(int, OpPerformanceData.OpInfo.TensorProperties.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: repeated .tensorflow.OpInfo.TensorProperties inputs = 3;
setInputSignature(Struct.StructuredValue) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: The input signature, if specified.
setInputSignature(Struct.StructuredValue.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: The input signature, if specified.
setInputSpatialDimensions(int, long) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the input.
setInputTensorIds(int, long) - Method in class org.tensorflow.proto.Execution.Builder: IDs of the input tensors (if available).
setInputTensorsAsShapesNeeded(int, int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_as_shapes_needed = 2;
setInputTensorsNeeded(int, int) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder: repeated int32 input_tensors_needed = 1;
setInstrumentedGraphDef(ByteString) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: An encoded version of a GraphDef.
setInstrumentedOps(int, String) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Names of the instrumented ops.
setInt64List(CollectionDef.Int64List) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
setInt64List(CollectionDef.Int64List.Builder) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.Int64List int64_list = 3;
setInt64List(Int64List) - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.Int64List int64_list = 3;
setInt64List(Int64List.Builder) - Method in class org.tensorflow.proto.Feature.Builder: .tensorflow.Int64List int64_list = 3;
setInt64Val(int, long) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT64
setInt64Value(long) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: int64 int64_value = 4;
setInt64Value(long) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a signed integer value, limited to 64 bits.
setInternalFragmentationFraction(double) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: BFC Allocator can return an allocated chunk of memory upto 2x the requested size.
setInterOpParallelismThreads(int) - Method in class org.tensorflow.proto.ConfigProto.Builder: Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process. 0 means the system picks an appropriate number.
setInterOpThreadPool(int) - Method in class org.tensorflow.proto.RunOptions.Builder: The thread pool to use, if session_inter_op_thread_pool is configured.
setInterOptimizerVerifierConfig(VerifierConfig) - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
setInterOptimizerVerifierConfig(VerifierConfig.Builder) - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run after every optimizer.
setIntraOpParallelism(long) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder: int64 intra_op_parallelism = 1;
setIntraOpParallelismThreads(int) - Method in class org.tensorflow.proto.ConfigProto.Builder: The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads. 0 means the system picks an appropriate number.
setIntVal(int, int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_INT32, DT_INT16, DT_UINT16, DT_INT8, DT_UINT8.
setInUse(boolean) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: bool in_use = 8;
setIsAggregate(boolean) - Method in class org.tensorflow.proto.OpDef.Builder: If is_aggregate is true, then this operation accepts N >= 2 inputs and produces 1 output all of the same type.
setIsCommutative(boolean) - Method in class org.tensorflow.proto.OpDef.Builder: True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
setIsDistributedCommunication(boolean) - Method in class org.tensorflow.proto.OpDef.Builder: Indicates whether the op implementation uses distributed communication.
setIsFinal(boolean) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: If true, the output is permanent: it can't be discarded, because this node is part of the "final output".
setIsMethod(boolean) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: Whether this represents a class method.
setIsolateSessionState(boolean) - Method in class org.tensorflow.proto.ConfigProto.Builder: If true, any resources such as Variables used in the session will not be shared with other sessions.
setIsRef(boolean) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: For inputs: if true, the inputs are required to be refs.
setIsResource(boolean) - Method in class org.tensorflow.proto.VariableDef.Builder: Whether to represent this as a ResourceVariable.
setIsSet(boolean) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: bool is_set = 1;
setIsStateful(boolean) - Method in class org.tensorflow.proto.OpDef.Builder: Ops are marked as stateful if their behavior depends on some state beyond their input tensors (e.g. variable reading op) or if they have a side-effect (e.g. printing or asserting ops).
setIters(long) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: If a benchmark, how many iterations it was run for
setJitCompile(SavedObjectGraphOuterClass.FunctionSpec.JitCompile) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
setJitCompileValue(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder: .tensorflow.FunctionSpec.JitCompile jit_compile = 6;
setJob(int, JobDef) - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
setJob(int, JobDef.Builder) - Method in class org.tensorflow.proto.ClusterDef.Builder: The jobs that comprise the cluster.
setJobGcCheckIntervalMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How often the dispatcher should scan through to delete old and unused jobs.
setJobGcTimeoutMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long a job needs to be unused before it becomes a candidate for garbage collection.
setJobName(String) - Method in class org.tensorflow.proto.ServerDef.Builder: The name of the job of which this server is a member.
setJobNameBytes(ByteString) - Method in class org.tensorflow.proto.ServerDef.Builder: The name of the job of which this server is a member.
setJobs(int, JobDeviceFilters) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
setJobs(int, JobDeviceFilters.Builder) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder: repeated .tensorflow.JobDeviceFilters jobs = 1;
setKeepCheckpointEveryNHours(float) - Method in class org.tensorflow.proto.SaverDef.Builder: How often to keep an additional checkpoint.
setKernel(int, KernelDef) - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
setKernel(int, KernelDef.Builder) - Method in class org.tensorflow.proto.KernelList.Builder: repeated .tensorflow.KernelDef kernel = 1;
setKernelInputFeatureDimension(long) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents input features in the kernel (rhs).
setKernelName(String) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
setKernelName(String) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
setKernelNameBytes(ByteString) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Name of the kernel making the allocation as set in GraphDef, e.g., "affine2/weights/Assign".
setKernelNameBytes(ByteString) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Name of the kernel producing an output as set in GraphDef, e.g., "affine2/weights/Assign".
setKernelOutputFeatureDimension(long) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents output features in the kernel (rhs).
setKernelSpatialDimensions(int, long) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the kernel (rhs).
setKernelTrackerMaxBytes(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.
setKernelTrackerMaxInterval(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: Parameters for GPUKernelTracker.
setKernelTrackerMaxPending(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.
setKey(String) - Method in class org.tensorflow.proto.Struct.PairValue.Builder: string key = 1;
setKeyBytes(ByteString) - Method in class org.tensorflow.proto.Struct.PairValue.Builder: string key = 1;
setL1CacheSize(long) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: L1 cache size in bytes
setL2CacheSize(long) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: L2 cache size in bytes
setL3CacheSize(long) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: L3 cache size in bytes
setLabel(String) - Method in class org.tensorflow.proto.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
setLabelBytes(ByteString) - Method in class org.tensorflow.proto.KernelDef.Builder: This allows experimental kernels to be registered for an op that won't be used unless the user specifies a "_kernel" attr with value matching this.
setLargestAllocSize(long) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: int64 largest_alloc_size = 4;
setLastModified(long) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: The timestamp at which the source code file is last modified.
setLayoutOptimizer(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
setLayoutOptimizerValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimize tensor layouts (default is ON) e.g.
setLength(long) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder: uint64 length = 3;
setLength(long) - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder: int64 length = 2;
setLengthFrames(long) - Method in class org.tensorflow.proto.Summary.Audio.Builder: Length of the audio in frames (samples per channel).
setLevel(LogMessage.Level) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
setLevelValue(int) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.

.tensorflow.LogMessage.Level level = 1;
setLibrary(FunctionDefLibrary) - Method in class org.tensorflow.proto.GraphDef.Builder: "library" provides user-defined functions.
setLibrary(FunctionDefLibrary.Builder) - Method in class org.tensorflow.proto.GraphDef.Builder: "library" provides user-defined functions.
setLine(int) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder: Line number in the file.
setLines(int, String) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder: Line-by-line content of the source code file.
setLines(int, String) - Method in class org.tensorflow.proto.SourceFile.Builder: Line-by-line content of the file.
setLines(int, Xplane.XLine) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
setLines(int, Xplane.XLine.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Parallel timelines grouped in this plane.
setLink(int, InterconnectLink) - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
setLink(int, InterconnectLink.Builder) - Method in class org.tensorflow.proto.LocalLinks.Builder: repeated .tensorflow.InterconnectLink link = 1;
setLinkage(String) - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
setLinkageBytes(ByteString) - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
setLinks(LocalLinks) - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional local interconnect links to other devices.
setLinks(LocalLinks.Builder) - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional local interconnect links to other devices.
setList(AttrValue.ListValue) - Method in class org.tensorflow.proto.AttrValue.Builder: any "list(...)"
setList(AttrValue.ListValue.Builder) - Method in class org.tensorflow.proto.AttrValue.Builder: any "list(...)"
setListValue(Struct.ListValue) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a list of `Value`.
setListValue(Struct.ListValue.Builder) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a list of `Value`.
setLiveBytes(long) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: The bytes that are not deallocated.
setLocality(DeviceLocality) - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
setLocality(DeviceLocality.Builder) - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Platform-specific data about device that may be useful for supporting efficient data transfers.
setLocalName(String) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: A user-provided name for the edge.
setLocalNameBytes(ByteString) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: A user-provided name for the edge.
setLogDevicePlacement(boolean) - Method in class org.tensorflow.proto.ConfigProto.Builder: Whether device placements should be logged.
setLogMessage(LogMessage) - Method in class org.tensorflow.proto.Event.Builder: Deprecated.
setLogMessage(LogMessage.Builder) - Method in class org.tensorflow.proto.Event.Builder: Deprecated.
setLoopEnterNames(int, String) - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for enter tensors.
setLoopExitNames(int, String) - Method in class org.tensorflow.proto.WhileContextDef.Builder: List of names for exit tensors.
setLoopOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Loop optimizations (default is ON).
setLoopOptimizationValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Loop optimizations (default is ON).
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.Accuracy: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.BinaryAccuracy: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.BinaryCrossentropy: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.CategoricalAccuracy: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.CategoricalCrossentropy: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.CategoricalHinge: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.CosineSimilarity: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.Hinge: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.KLDivergence: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.LogCoshError: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.MeanAbsoluteError: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.MeanSquaredError: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.Poisson: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.SquaredHinge: Sets the AbstractLoss function for this wrapper.
setLoss(LossMetric) - Method in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Sets the AbstractLoss function for this wrapper.
setMachine(String) - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
setMachineBytes(ByteString) - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
setMachineConfiguration(MachineConfiguration) - Method in class org.tensorflow.proto.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
setMachineConfiguration(MachineConfiguration.Builder) - Method in class org.tensorflow.proto.TestResults.Builder: Machine-specific parameters (Platform and CPU info)
setMapAndBatchFusion(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_and_batch_fusion = 9;
setMapAndFilterFusion(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_and_filter_fusion = 10;
setMapFusion(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_fusion = 11;
setMapParallelization(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool map_parallelization = 12;
setMax(double) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Maximum value of the parameter.
setMax(double) - Method in class org.tensorflow.proto.HistogramProto.Builder: double max = 2;
setMaxByteSize(int, int) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder: repeated int32 max_byte_size = 2;
setMaxFoldedConstantInBytes(long) - Method in class org.tensorflow.proto.OptimizerOptions.Builder: Constant folding optimization replaces tensors whose values can be predetermined, with constant nodes.
setMaximum(TensorProto) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
setMaximum(TensorProto.Builder) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto maximum = 5;
setMaximumIterationsName(String) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
setMaximumIterationsNameBytes(ByteString) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Optional name of the maximum_iterations tensor.
setMaxIntraOpParallelism(int) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder: int32 max_intra_op_parallelism = 1;
setMaxSessionDurationMs(long) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Maximum time (in milliseconds) a profiling session manager waits for all profilers to finish after issuing gRPC request.
setMaxToKeep(int) - Method in class org.tensorflow.proto.SaverDef.Builder: Maximum number of checkpoints to keep.
setMaxValue(DoubleValue) - Method in class org.tensorflow.proto.MetricEntry.Builder: The maximum acceptable value for the metric if specified
setMaxValue(DoubleValue.Builder) - Method in class org.tensorflow.proto.MetricEntry.Builder: The maximum acceptable value for the metric if specified
setMaybeTypeName(String) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
setMaybeTypeNameBytes(ByteString) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: For debug-only, the name of the type pointed to by this handle, if available.
setMemory(int, AllocatorMemoryUsed) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
setMemory(int, AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocatorMemoryUsed memory = 6;
setMemoryEfficiency(double) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Percentage of theoretical memory performance.
setMemoryInfo(MemoryInfo) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
setMemoryInfo(MemoryInfo.Builder) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: .tensorflow.MemoryInfo memory_info = 6;
setMemoryLimit(long) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Memory capacity in bytes.
setMemoryLimit(long) - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Memory capacity of device in bytes.
setMemoryLimitMb(int, float) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Per "virtual" device memory limit, in MB.
setMemoryOptimization(RewriterConfig.MemOptType) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
setMemoryOptimizationValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Configures memory optimization passes through the meta-optimizer.
setMemoryOptimizerTargetNodeNameScope(String) - Method in class org.tensorflow.proto.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recomputations.
setMemoryOptimizerTargetNodeNameScopeBytes(ByteString) - Method in class org.tensorflow.proto.RewriterConfig.Builder: A node name scope for node names which are valid outputs of recomputations.
setMemoryRatio(double) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Ratio identifies how many parallelism calls are introduced by one buffered element.
setMemorySize(long) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Memory size in bytes
setMemoryStats(MemoryStats) - Method in class org.tensorflow.proto.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
setMemoryStats(MemoryStats.Builder) - Method in class org.tensorflow.proto.NodeExecStats.Builder: .tensorflow.MemoryStats memory_stats = 12;
setMemoryTime(long) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Analytical estimate of the memory access cost of this node, in microseconds.
setMemoryTime(long) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Analytical memory access cost (in nanoseconds).
setMergeDeviceToDeviceStream(boolean) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder: If true, the compute stream will be used for device_to_device copy as well.
setMergeDeviceToHostStream(boolean) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder: If true, the compute stream will be used for device_to_host copy as well.
setMergeHostToDeviceStream(boolean) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder: If true, the compute stream will be used for host_to_device copy as well.
setMessage(String) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.

string message = 2;
setMessage(String) - Method in class org.tensorflow.proto.StatusProto.Builder: Detail error message.
setMessageBytes(ByteString) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.

string message = 2;
setMessageBytes(ByteString) - Method in class org.tensorflow.proto.StatusProto.Builder: Detail error message.
setMeta(SavedTensorSliceMeta) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
setMeta(SavedTensorSliceMeta.Builder) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder: This is only present at the first item of each checkpoint file and serves as a table of contents, listing all the tensor slices saved in this file.
setMetadata(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Additional metadata in serialized format.
setMetadata(ByteString) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Portions of the object that are not Tensors.
setMetadata(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Deprecated.
tensorflow.SavedUserObject.metadata is deprecated. See tensorflow/core/protobuf/saved_object_graph.proto;l=123
setMetadata(SummaryMetadata) - Method in class org.tensorflow.proto.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
setMetadata(SummaryMetadata.Builder) - Method in class org.tensorflow.proto.Summary.Value.Builder: Contains metadata on the summary value such as which plugins may use it.
setMetadataBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Deprecated.
tensorflow.SavedUserObject.metadata is deprecated. See tensorflow/core/protobuf/saved_object_graph.proto;l=123
setMetadataId(long) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XEventMetadata.id of corresponding metadata.
setMetadataId(long) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: XStatMetadata.id of corresponding metadata.
setMetaGraphDef(ByteString) - Method in class org.tensorflow.proto.Event.Builder: An encoded version of a MetaGraphDef.
setMetaGraphs(int, MetaGraphDef) - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
setMetaGraphs(int, MetaGraphDef.Builder) - Method in class org.tensorflow.proto.SavedModel.Builder: One or more MetaGraphs.
setMetaGraphVersion(String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
setMetaGraphVersionBytes(ByteString) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User specified Version string.
setMetaInfoDef(MetaGraphDef.MetaInfoDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
setMetaInfoDef(MetaGraphDef.MetaInfoDef.Builder) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: .tensorflow.MetaGraphDef.MetaInfoDef meta_info_def = 1;
setMetaOptimizerIterations(RewriterConfig.NumIterationsType) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
setMetaOptimizerIterationsValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Controls how many times we run the optimizers in meta optimizer (default is once).
setMetaOptimizerTimeoutMs(long) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Maximum number of milliseconds to spend optimizing a single graph before timing out.
setMethodName(String) - Method in class org.tensorflow.proto.SignatureDef.Builder: Deprecated: TensorFlow 2 always sets this to a fixed value; open-source TF Serving stopped checking by default since release 2.4.
setMethodNameBytes(ByteString) - Method in class org.tensorflow.proto.SignatureDef.Builder: Deprecated: TensorFlow 2 always sets this to a fixed value; open-source TF Serving stopped checking by default since release 2.4.
setMetrics(int, MetricEntry) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
setMetrics(int, MetricEntry.Builder) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Metric name, value and expected range.
setMhzPerCpu(double) - Method in class org.tensorflow.proto.CPUInfo.Builder: How fast are these cpus?
setMin(double) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Minimum value of the parameter.
setMin(double) - Method in class org.tensorflow.proto.HistogramProto.Builder: double min = 1;
setMinConsumer(int) - Method in class org.tensorflow.proto.VersionDef.Builder: Any consumer below this version is not allowed to consume this data.
setMinGraphNodes(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: The minimum number of nodes in a graph to optimizer.
setMinimum(long) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: int64 minimum = 6;
setMinimum(TensorProto) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
setMinimum(TensorProto.Builder) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorProto minimum = 4;
setMinValue(DoubleValue) - Method in class org.tensorflow.proto.MetricEntry.Builder: The minimum acceptable value for the metric if specified
setMinValue(DoubleValue.Builder) - Method in class org.tensorflow.proto.MetricEntry.Builder: The minimum acceptable value for the metric if specified
setMlirBridgeRollout(ConfigProto.Experimental.MlirBridgeRollout) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based TF->XLA bridge.
setMlirBridgeRolloutValue(int) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether to enable the MLIR-based TF->XLA bridge.
setMode(String) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: opt, dbg, etc
setModeBytes(ByteString) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: opt, dbg, etc
setModel(String) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Model (Haswell, K40, ...)
setModel(String) - Method in class org.tensorflow.proto.GPUInfo.Builder: e.g.
setModelBytes(ByteString) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Model (Haswell, K40, ...)
setModelBytes(ByteString) - Method in class org.tensorflow.proto.GPUInfo.Builder: e.g.
setModelInputTime(double) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Time between two consecutive `GetNext` calls to the iterator represented by the output node.
setMsg(String) - Method in class org.tensorflow.proto.SessionLog.Builder: string msg = 3;
setMsgBytes(ByteString) - Method in class org.tensorflow.proto.SessionLog.Builder: string msg = 3;
setMu(double) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder: double mu = 1;
setMu(double) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder: double mu = 1;
setName(ByteString) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder: bytes name = 1;
setName(String) - Method in class org.tensorflow.framework.metrics.BaseMetric: Sets the metric name
setName(String) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
setName(String) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Device name.
setName(String) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: The name of the specific benchmark or test (e.g.
setName(String) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The name of the node.
setName(String) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Human-readable name of the node.
setName(String) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Human-readable name of the parameter.
setName(String) - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
setName(String) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.JobDef.Builder: The name of this job.
setName(String) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: The name of this job.
setName(String) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
setName(String) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder: string name = 2;
setName(String) - Method in class org.tensorflow.proto.MetricEntry.Builder: Metric name
setName(String) - Method in class org.tensorflow.proto.NameAttrList.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.NamedTensorProto.Builder: Name of the tensor.
setName(String) - Method in class org.tensorflow.proto.NodeDef.Builder: The name given to this operator.
setName(String) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Name for the input/output.
setName(String) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A descriptive name for the argument.
setName(String) - Method in class org.tensorflow.proto.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
setName(String) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Function name.
setName(String) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Name of the event.
setName(String) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Name of this XLine.
setName(String) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Name of this XPlane.
setName(String) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: Name of the stat (should be short).
setName(String) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Unique name of this resource.
setName(String) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder: Name of captured tensor
setName(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: string name = 6;
setName(String) - Method in class org.tensorflow.proto.SavedSlice.Builder: Name of the tensor that this slice belongs to.
setName(String) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Name of the tensor.
setName(String) - Method in class org.tensorflow.proto.SessionMetadata.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: string name = 1;
setName(String) - Method in class org.tensorflow.proto.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
setName(String) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
setName(String) - Method in class org.tensorflow.proto.TestResults.Builder: Benchmark target identifier.
setName(String) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder: The name of the registered saver/restore function.
setName(String) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: A name for the Tensor.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder: Name should be either like "CamelCaseName" or "Package.CamelCaseName".
setNameBytes(ByteString) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Device name.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: The name of the specific benchmark or test (e.g.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: The name of the node.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Human-readable name of the node.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Human-readable name of the parameter.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.DeviceAttributes.Builder: Fully specified name of the device within a cluster.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.JobDef.Builder: The name of this job.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder: The name of this job.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder: Name of an attr from the Op.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder: string name = 2;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.MetricEntry.Builder: Metric name
setNameBytes(ByteString) - Method in class org.tensorflow.proto.NameAttrList.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.NamedTensorProto.Builder: Name of the tensor.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.NodeDef.Builder: The name given to this operator.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Name for the input/output.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: A descriptive name for the argument.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.OpDef.Builder: Op names starting with an underscore are reserved for internal use.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Function name.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: Name of the event.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Name of this XLine.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: Name of this XPlane.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder: Name of the stat (should be short).
setNameBytes(ByteString) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder: Unique name of this resource.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder: Name of captured tensor
setNameBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: string name = 6;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.SavedSlice.Builder: Name of the tensor that this slice belongs to.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Name of the tensor.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.SessionMetadata.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: string name = 1;
setNameBytes(ByteString) - Method in class org.tensorflow.proto.TensorInfo.Builder: For dense `Tensor`s, the name of the tensor in the graph.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder: Optional name of the tensor dimension.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.TestResults.Builder: Benchmark target identifier.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder: The name of the registered saver/restore function.
setNameBytes(ByteString) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder: A name for the Tensor.
setNamedTupleValue(Struct.NamedTupleValue) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents Python's namedtuple.
setNamedTupleValue(Struct.NamedTupleValue.Builder) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents Python's namedtuple.
setNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
setNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
setNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.proto.CondContextDef.Builder: Contexts contained inside this context (e.g. nested conds).
setNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Contexts contained inside this context (e.g. nested whiles).
setNode(int, CostGraphDef.Node) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
setNode(int, CostGraphDef.Node.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Builder: repeated .tensorflow.CostGraphDef.Node node = 1;
setNode(int, NodeDef) - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
setNode(int, NodeDef.Builder) - Method in class org.tensorflow.proto.GraphDef.Builder: repeated .tensorflow.NodeDef node = 1;
setNode(String) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The node name (optional).
setNodeBytes(ByteString) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The node name (optional).
setNodeClass(Model.NodeClass) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Class of this node.
setNodeClassValue(int) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Class of this node.
setNodeDef(int, NodeDef) - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
setNodeDef(int, NodeDef.Builder) - Method in class org.tensorflow.proto.FunctionDef.Builder: By convention, "op" in node_def is resolved by consulting with a user-defined library first.
setNodeId(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: node_id for use when creating a PjRt GPU client with remote devices, which enumerates jobs*tasks from a ServerDef.
setNodeId(int) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: int32 node_id = 2;
setNodeId(int) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 node_id = 2;
setNodeId(int) - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder: int32 node_id = 1;
setNodeId(int) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: int32 node_id = 1;
setNodeId(int) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder: int32 node_id = 1;
setNodeId(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the object being referenced.
setNodeInfo(int, GraphTransferNodeInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
setNodeInfo(int, GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
setNodeInput(int, GraphTransferNodeInput) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
setNodeInput(int, GraphTransferNodeInput.Builder) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder: repeated .tensorflow.GraphTransferNodeInput node_input = 2;
setNodeInputInfo(int, GraphTransferNodeInputInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
setNodeInputInfo(int, GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
setNodeList(CollectionDef.NodeList) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
setNodeList(CollectionDef.NodeList.Builder) - Method in class org.tensorflow.proto.CollectionDef.Builder: .tensorflow.CollectionDef.NodeList node_list = 1;
setNodeName(String) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name of the node to watch.
setNodeName(String) - Method in class org.tensorflow.proto.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
setNodeName(String) - Method in class org.tensorflow.proto.Summary.Value.Builder: This field is deprecated and will not be set.
setNodeNameBytes(ByteString) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Name of the node to watch.
setNodeNameBytes(ByteString) - Method in class org.tensorflow.proto.NodeExecStats.Builder: TODO(tucker): Use some more compact form of node identity than the full string name.
setNodeNameBytes(ByteString) - Method in class org.tensorflow.proto.Summary.Value.Builder: This field is deprecated and will not be set.
setNodeOutputInfo(int, GraphTransferNodeOutputInfo) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
setNodeOutputInfo(int, GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder: repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
setNodes(int, SavedObjectGraphOuterClass.SavedObject) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
setNodes(int, SavedObjectGraphOuterClass.SavedObject.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder: Flattened list of objects in the object graph.
setNodes(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
setNodes(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder: repeated .tensorflow.TrackableObjectGraph.TrackableObject nodes = 1;
setNodeStats(int, NodeExecStats) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
setNodeStats(int, NodeExecStats.Builder) - Method in class org.tensorflow.proto.DeviceStepStats.Builder: repeated .tensorflow.NodeExecStats node_stats = 2;
setNoneValue(Struct.NoneValue) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents None.
setNoneValue(Struct.NoneValue.Builder) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents None.
setNoopElimination(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool noop_elimination = 14;
setNum(double) - Method in class org.tensorflow.proto.HistogramProto.Builder: double num = 3;
setNumAllocs(long) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: int64 num_allocs = 1;
setNumaNode(int) - Method in class org.tensorflow.proto.DeviceLocality.Builder: Optional NUMA locality of device.
setNumberAttr(String) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: if specified, attr must have type "int"
setNumberAttrBytes(ByteString) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: if specified, attr must have type "int"
setNumBytes(long) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Number of bytes in the allocation.
setNumChannels(long) - Method in class org.tensorflow.proto.Summary.Audio.Builder: Number of channels of audio.
setNumChannelsPerTarget(int) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: Setting num_channels_per_target > 0 allows uses of multiple channels to communicate to the same target.
setNumCores(long) - Method in class org.tensorflow.proto.CPUInfo.Builder: int64 num_cores = 1;
setNumCores(long) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Number of cores
setNumCoresAllowed(long) - Method in class org.tensorflow.proto.CPUInfo.Builder: int64 num_cores_allowed = 2;
setNumDevices(int) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder: int32 num_devices = 2;
setNumDevToDevCopyStreams(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If > 1, the number of device-to-device copy streams to create for each GPUDevice.
setNumElements(long) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: The number of elements in the snapshot.
setNumElements(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The number of elements produced by the node.
setNumFlatComponents(int) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The number of flat tensor components required by this TypeSpec.
setNumLabels(Integer) - Method in class org.tensorflow.framework.metrics.AUC
setNumOccurrences(long) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: Number of occurrences of the event, if aggregated.
setNumOutputs(int) - Method in class org.tensorflow.proto.Execution.Builder: Number of output tensors.
setNumOutputs(int) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Number of output tensors emitted by the op.
setNumpyValue(TensorProto) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for np.ndarray.
setNumpyValue(TensorProto.Builder) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for np.ndarray.
setNumRecordsProduced(long) - Method in class org.tensorflow.proto.ReaderBaseState.Builder: int64 num_records_produced = 3;
setNumRegisters(long) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Number of registers per core.
setNumReplicas(int) - Method in class org.tensorflow.proto.AutoParallelOptions.Builder: int32 num_replicas = 2;
setNumReturnNodes(int) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Number of return nodes.
setNumShards(int) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: Number of data files in the bundle.
setNumTasks(int) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder: int32 num_tasks = 2;
setNumThreads(int) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder: The number of threads in the pool. 0 means the system picks a value based on where this option proto is used (see the declaration of the specific field for more info).
setNumVirtualDevicesPerGpu(int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The number of virtual devices to create on each visible GPU.
setObjectGraphDef(SavedObjectGraphOuterClass.SavedObjectGraph) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
setObjectGraphDef(SavedObjectGraphOuterClass.SavedObjectGraph.Builder) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: Extra information about the structure of functions and stateful objects.
setObjectName(String) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder: Unique auto-generated name of the object.
setObjectNameBytes(ByteString) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder: Unique auto-generated name of the object.
setObsoleteOldStyleHistogram(ByteString) - Method in class org.tensorflow.proto.Summary.Value.Builder: bytes obsolete_old_style_histogram = 3;
setOffset(long) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: int64 offset = 4;
setOffset(long) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder: uint64 offset = 1;
setOffsetPs(long) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: Start time of the event in picoseconds, as offset from XLine.timestamp_ns().
setOp(int, ApiDef) - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
setOp(int, ApiDef.Builder) - Method in class org.tensorflow.proto.ApiDefs.Builder: repeated .tensorflow.ApiDef op = 1;
setOp(int, OpDef) - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
setOp(int, OpDef.Builder) - Method in class org.tensorflow.proto.OpList.Builder: repeated .tensorflow.OpDef op = 1;
setOp(String) - Method in class org.tensorflow.proto.KernelDef.Builder: Must match the name of an Op.
setOp(String) - Method in class org.tensorflow.proto.NodeDef.Builder: The operation name.
setOp(String) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: The operation name.
setOp(OpPerformanceData.OpInfo) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The op
setOp(OpPerformanceData.OpInfo.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: The op
setOpBytes(ByteString) - Method in class org.tensorflow.proto.KernelDef.Builder: Must match the name of an Op.
setOpBytes(ByteString) - Method in class org.tensorflow.proto.NodeDef.Builder: The operation name.
setOpBytes(ByteString) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: The operation name.
setOpDevice(String) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Device of the operation producing this tensor.
setOpDeviceBytes(ByteString) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Device of the operation producing this tensor.
setOpEndRelMicros(long) - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 op_end_rel_micros = 4;
setOpEndRelNanos(long) - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 op_end_rel_nanos = 15;
setOperation - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: The setOperation attribute
setOperation - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: The setOperation attribute
setOperation - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: The setOperation attribute
setOperation(String) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
setOperation(String) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
setOperation(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
setOperation(Scope, Operand, Operand, Sets.Operation) - Static method in class org.tensorflow.framework.op.sets.Sets: Compute set operation of elements in last dimension of a and b.
setOperationBytes(ByteString) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Name of the operation making the allocation.
setOperationBytes(ByteString) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Name of the operation making the deallocation.
setOperationBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder: An Operation name for a ConstantOp in this SavedObjectGraph's MetaGraph.
setOperationTimeoutInMs(long) - Method in class org.tensorflow.proto.ConfigProto.Builder: Global timeout for all blocking operations in this session.
setOpId(long) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: The ID of the operation that produced this tensor.
setOpMemory(OpPerformanceData.OpPerformance.OpMemory) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
setOpMemory(OpPerformanceData.OpPerformance.OpMemory.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: .tensorflow.OpPerformance.OpMemory op_memory = 9;
setOpName(String) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: string op_name = 5;
setOpName(String) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
setOpName(String) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the op (e.g., "Dense/MatMul_1").
setOpNameBytes(ByteString) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: string op_name = 5;
setOpNameBytes(ByteString) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Name of the op (applicable only in the case of the `FULL_TENSOR` trace level).
setOpNameBytes(ByteString) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Name of the op (e.g., "Dense/MatMul_1").
setOpPerformance(int, OpPerformanceData.OpPerformance) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
setOpPerformance(int, OpPerformanceData.OpPerformance.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder: repeated .tensorflow.OpPerformance op_performance = 1;
SetOps - Class in org.tensorflow.framework.op: Creates Framework set Operations
setOpStartRelMicros(long) - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 op_start_rel_micros = 3;
setOpStartRelNanos(long) - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 op_start_rel_nanos = 14;
setOptimizationOptions(DatasetOptions.OptimizationOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The optimization options associated with the dataset.
setOptimizationOptions(DatasetOptions.OptimizationOptions.Builder) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The optimization options associated with the dataset.
setOptimizationParams(Model.ModelProto.OptimizationParams) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
setOptimizationParams(Model.ModelProto.OptimizationParams.Builder) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: .tensorflow.data.model.ModelProto.OptimizationParams optimization_params = 5;
setOptimizationTimeUsecs(long) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Time (in microseconds) spent on running the graph optimization passes for this function.
setOptimizeForStaticGraph(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, the session may treat the graph as being static for optimization purposes.
setOptimizerOptions(OptimizerOptions) - Method in class org.tensorflow.proto.GraphOptions.Builder: Options controlling how graph is optimized.
setOptimizerOptions(OptimizerOptions.Builder) - Method in class org.tensorflow.proto.GraphOptions.Builder: Options controlling how graph is optimized.
setOptimizers(int, String) - Method in class org.tensorflow.proto.RewriterConfig.Builder: If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
setOptions(RunOptions) - Method in class org.tensorflow.Session.Runner: Set options (typically for debugging) for this run.
setOptLevel(OptimizerOptions.Level) - Method in class org.tensorflow.proto.OptimizerOptions.Builder: Overall optimization level.
setOptLevelValue(int) - Method in class org.tensorflow.proto.OptimizerOptions.Builder: Overall optimization level.
setOpts(int, String) - Method in class org.tensorflow.proto.BuildConfiguration.Builder: Bazel compilation options, if known
setOpType(String) - Method in class org.tensorflow.proto.Execution.Builder: Op type (e.g., "MatMul").
setOpType(String) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Type of the op (e.g., "MatMul").
setOpTypeBytes(ByteString) - Method in class org.tensorflow.proto.Execution.Builder: Op type (e.g., "MatMul").
setOpTypeBytes(ByteString) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Type of the op (e.g., "MatMul").
setOriginalFuncNames(int, String) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: This is intended to store the list of names of the functions from the original graph that this node was derived.
setOriginalGraphDef(ByteString) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: Original (uninstrumented) GraphDef (if available).
setOriginalNodeNames(int, String) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder: Opaque string inserted into error messages created by the runtime.
setOriginalVariableNodeId(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the variable object this slot was created for.
setOutArg(int, ApiDef.Arg) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
setOutArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.proto.ApiDef.Builder: repeated .tensorflow.ApiDef.Arg out_arg = 5;
setOuterContextId(String) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: IDs of the immediate enclosing context (graph), if any.
setOuterContextIdBytes(ByteString) - Method in class org.tensorflow.proto.DebuggedGraph.Builder: IDs of the immediate enclosing context (graph), if any.
setOutput(int, NodeOutput) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
setOutput(int, NodeOutput.Builder) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.NodeOutput output = 7;
setOutput(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder: ID of the output node of this model.
setOutputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
setOutputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.proto.OpDef.Builder: Description of the output(s).
setOutputBatchDimension(long) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents batch in the output.
setOutputCount(int) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 output_count = 7;
setOutputFeatureDimension(long) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimension that represents features in the output.
setOutputInfo(int, CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
setOutputInfo(int, CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
setOutputMemory(int, long) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: The output information may have memory usage and output shapes.
setOutputNum(int) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: The index into the outputs of the operation that produced this tensor.
setOutputPartitionGraphs(boolean) - Method in class org.tensorflow.proto.RunOptions.Builder: Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
setOutputPort(int) - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder: int32 output_port = 2;
setOutputs(int, OpPerformanceData.OpInfo.TensorProperties) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
setOutputs(int, OpPerformanceData.OpInfo.TensorProperties.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Optional description of the op outputs
setOutputSignature(Struct.StructuredValue) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
setOutputSignature(Struct.StructuredValue.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder: Output that was the return value of this function after replacing all Tensors with TensorSpecs.
setOutputSlot(int) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Output slot to watch.
setOutputSlot(int) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Output slot of the tensor (applicable only in the case of the `FULL_TENSOR` trace level).
setOutputSpatialDimensions(int, long) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder: The dimensions that represents spatial dimensions in the output.
setOutputTensorDeviceIds(int, int) - Method in class org.tensorflow.proto.Execution.Builder: Debugged-generated IDs of the devices on which the output tensors reside.
setOutputTensorIds(int, int) - Method in class org.tensorflow.proto.GraphOpCreation.Builder: Unique IDs for the output tensors of this op.
setOutputTensorIds(int, long) - Method in class org.tensorflow.proto.Execution.Builder: IDs of the output tensors (if availbable).
setPaddingId(int) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 padding_id = 5;
setParallelBatch(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool parallel_batch = 15;
setParallelIterations(int) - Method in class org.tensorflow.proto.WhileContextDef.Builder: The number of iterations allowed to run in parallel.
setParameters(int, Model.ModelProto.Node.Parameter) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
setParameters(int, Model.ModelProto.Node.Parameter.Builder) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Parameters of this node.
setPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
setPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
setPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.proto.RunMetadata.Builder: Graphs of the partitions executed by executors.
setPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: TODO(nareshmodi): Include some sort of function/cache-key identifier?
setPeakBytes(long) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: int64 peak_bytes = 3;
setPeakBytesInUse(long) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder: int64 peak_bytes_in_use = 3;
setPendingChangelist(long) - Method in class org.tensorflow.proto.CommitId.Builder: Changelist tested if the change list is not already submitted.
setPerProcessGpuMemoryFraction(double) - Method in class org.tensorflow.proto.GPUOptions.Builder: Fraction of the total GPU memory to allocate for each process. 1 means to allocate all of the GPU memory, 0.5 means the process allocates up to ~50% of the total GPU memory.
setPersistentMemory(long) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: int64 persistent_memory = 4;
setPersistentMemorySize(long) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Persistent memory used by this node.
setPersistentMemorySize(long) - Method in class org.tensorflow.proto.MemoryStats.Builder: int64 persistent_memory_size = 3;
setPersistentTensorAllocIds(int, long) - Method in class org.tensorflow.proto.MemoryStats.Builder: repeated int64 persistent_tensor_alloc_ids = 5;
setPhysicalDescription(String) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: The physical description of this device.
setPhysicalDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: The physical description of this device.
setPhysicalDeviceDesc(String) - Method in class org.tensorflow.proto.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
setPhysicalDeviceDescBytes(ByteString) - Method in class org.tensorflow.proto.DeviceAttributes.Builder: String representation of the physical device that this device maps to.
setPinned(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder: bool pinned = 1;
setPinToHostOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Force small ops onto the CPU (default is OFF).
setPinToHostOptimizationValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Force small ops onto the CPU (default is OFF).
setPivotForBodyName(String) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot_for_body tensor.
setPivotForBodyNameBytes(ByteString) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot_for_body tensor.
setPivotForPredName(String) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
setPivotForPredNameBytes(ByteString) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot_for_pred tensor.
setPivotName(String) - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the pivot tensor.
setPivotName(String) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot tensor.
setPivotNameBytes(ByteString) - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the pivot tensor.
setPivotNameBytes(ByteString) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Name of the pivot tensor.
setPlaceholder(String) - Method in class org.tensorflow.proto.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
setPlaceholderBytes(ByteString) - Method in class org.tensorflow.proto.AttrValue.Builder: This is a placeholder only used in nodes defined inside a function.
setPlacementPeriod(int) - Method in class org.tensorflow.proto.ConfigProto.Builder: Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
setPlacePrunedGraph(boolean) - Method in class org.tensorflow.proto.GraphOptions.Builder: Only place the subgraphs that are run, rather than the entire graph.
setPlanes(int, Xplane.XPlane) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
setPlanes(int, Xplane.XPlane.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: repeated .tensorflow.profiler.XPlane planes = 1;
setPlatformInfo(PlatformInfo) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Additional platform information.
setPlatformInfo(PlatformInfo.Builder) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Additional platform information.
setPluggableDeviceOptions(GPUOptions) - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to pluggable devices.
setPluggableDeviceOptions(GPUOptions.Builder) - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply to pluggable devices.
setPluginData(SummaryMetadata.PluginData) - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
setPluginData(SummaryMetadata.PluginData.Builder) - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Data that associates a summary with a certain plugin.
setPluginName(String) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
setPluginNameBytes(ByteString) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder: The name of the plugin this data pertains to.
setPollForErrorFromServiceAtStartup(boolean) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Use long polling to get error from coordination service as the error propagation mechanism.
setPollingActiveDelayUsecs(int) - Method in class org.tensorflow.proto.GPUOptions.Builder: In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty.
setPollingInactiveDelayMsecs(int) - Method in class org.tensorflow.proto.GPUOptions.Builder: This field is deprecated and ignored.
setPopulatePjrtGpuClientCreationInfo(boolean) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If true, save information needed for created a PjRt GPU client for creating a client with remote devices.
setPort(int) - Method in class org.tensorflow.proto.ServerDef.Builder: The server port.
setPort(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The port for the dispatcher to bind to.
setPort(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The port for the worker to bind to.
setPostOptimizationGraph(GraphDef) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
setPostOptimizationGraph(GraphDef.Builder) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef post_optimization_graph = 3;
setPostOptimizationVerifierConfig(VerifierConfig) - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
setPostOptimizationVerifierConfig(VerifierConfig.Builder) - Method in class org.tensorflow.proto.RewriterConfig.Builder: VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
setPrecedingNode(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder: int32 preceding_node = 1;
setPrecedingPort(int) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder: int32 preceding_port = 2;
setPredName(String) - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the pred tensor.
setPredNameBytes(ByteString) - Method in class org.tensorflow.proto.CondContextDef.Builder: Name of the pred tensor.
setPreOptimizationGraph(GraphDef) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
setPreOptimizationGraph(GraphDef.Builder) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder: .tensorflow.GraphDef pre_optimization_graph = 2;
setPriority(int) - Method in class org.tensorflow.proto.KernelDef.Builder: Prioritization of kernel amongst different devices.
setPriority(int, int) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder: Priority values to use with the virtual devices.
setPriority(long) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder: Priority of the request.
setPrivateThreadpoolSize(int) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder: int32 private_threadpool_size = 2;
setProcessingTime(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: The aggregate processing time spent in this node in nanoseconds.
setProducer(int) - Method in class org.tensorflow.proto.VersionDef.Builder: The version of the code that produced this data.
setProfilerOptions(ProfilerOptions.ProfileOptions) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
setProfilerOptions(ProfilerOptions.ProfileOptions.Builder) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Options for each local profiler.
setProperties(DevicePropertiesProtos.DeviceProperties) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
setProperties(DevicePropertiesProtos.DeviceProperties.Builder) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder: .tensorflow.DeviceProperties properties = 2;
setProtocol(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The protocol for the dispatcher to use when connecting to workers.
setProtocol(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when connecting to the dispatcher.
setProtocol(String) - Method in class org.tensorflow.proto.ServerDef.Builder: The protocol to be used by this server.
setProtocolBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The protocol for the dispatcher to use when connecting to workers.
setProtocolBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The protocol for the worker to use when connecting to the dispatcher.
setProtocolBytes(ByteString) - Method in class org.tensorflow.proto.ServerDef.Builder: The protocol to be used by this server.
setPtr(long) - Method in class org.tensorflow.proto.AllocationDescription.Builder: Address of the allocation.
setPtr(long) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Address of the allocation.
setPythonTracerLevel(int) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Whether enable python function calls tracing.
setQueueClosedExceptionTypes(int, Code) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
setQueueClosedExceptionTypesValue(int, int) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
setQueueName(String) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: Queue name.
setQueueNameBytes(ByteString) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder: Queue name.
setRamBudget(long) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder: int64 ram_budget = 3;
setRamBudget(long) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder: Amount of available memory in bytes.
setRatio(double) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: Ratio of input to output elements.
setRecordMetrics(boolean) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder: An indication whether this node records metrics about produced and consumed elements.
setRecoverableJobs(int, String) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: The list of jobs which are recoverable.
setRecvBufMaxChunk(int) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Guidance to formatting of large RecvBuf fields for transfer.
setReferencedTensor(int, AllocationDescription) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
setReferencedTensor(int, AllocationDescription.Builder) - Method in class org.tensorflow.proto.NodeExecStats.Builder: repeated .tensorflow.AllocationDescription referenced_tensor = 11;
setRefValue(long) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: A string value that stored in XStatMetadata::name.
setRegisteredGradients(int, RegisteredGradient) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
setRegisteredGradients(int, RegisteredGradient.Builder) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder: repeated .tensorflow.RegisteredGradient registered_gradients = 3;
setRegisteredName(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The name of the registered class of the form "{package}.
setRegisteredNameBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The name of the registered class of the form "{package}.
setRegisteredOpType(String) - Method in class org.tensorflow.proto.RegisteredGradient.Builder: The gradient function's registered op type.
setRegisteredOpTypeBytes(ByteString) - Method in class org.tensorflow.proto.RegisteredGradient.Builder: The gradient function's registered op type.
setRegisteredSaver(String) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: String name of the registered saver.
setRegisteredSaver(TrackableObjectGraphOuterClass.RegisteredSaver) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: The registered saver used to save this object.
setRegisteredSaver(TrackableObjectGraphOuterClass.RegisteredSaver.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: The registered saver used to save this object.
setRegisteredSaverBytes(ByteString) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: String name of the registered saver.
setRelease(String) - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '3.13.0-76-generic'
setReleaseBytes(ByteString) - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '3.13.0-76-generic'
setRemapping(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
setRemappingValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Remapping (default is ON) Remap subgraphs onto more efficient implementations.
setRenameTo(String) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
setRenameTo(String) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
setRenameToBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder: Change the name used to access this arg in the API from what is used in the GraphDef.
setRenameToBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder: Change the name used to access this attr in the API from what is used in the GraphDef.
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.AllocationDescription.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.AllocationRecord.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ApiDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ApiDefs.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.AssetFileDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.AttrValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.BuildConfiguration.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.BundleEntryProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.BytesList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CallableOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ClusterDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CodeLocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CollectionDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CommitId.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CondContextDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ConfigProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CostGraphDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.CPUInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DebugEvent.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DebuggedDevice.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DebuggedGraph.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DebugMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DebugOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DeviceAttributes.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DeviceLocality.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.DeviceStepStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.EntryValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Event.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Example.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Execution.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Feature.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.FeatureList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.FeatureLists.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Features.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.FingerprintDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.FloatList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.FullTypeDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.FunctionDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GPUInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GPUOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GradientDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphOpCreation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.HistogramProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Int64List.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.InterconnectLink.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.JobDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.KernelDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.KernelList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.LocalLinks.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MachineConfiguration.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MemoryInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MemoryLogStep.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MemoryStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MetaGraphDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.MetricEntry.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.NameAttrList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.NamedTensorProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.NodeDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.NodeExecStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.NodeOutput.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpDeprecation.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.OptimizerOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.PlatformInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ReaderBaseState.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.RegisteredGradient.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.RequestedExitCode.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.RewriterConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.RunConfiguration.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.RunMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.RunOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedModel.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedSlice.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SaverDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SequenceExample.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SerializedDType.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ServerDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SessionLog.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SessionMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SignatureDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SourceFile.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SourceMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.StackFrameWithId.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.StatusProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.StepStats.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Struct.DictValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Struct.ListValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Struct.PairValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Summary.Audio.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Summary.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Summary.Image.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.Summary.Value.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SummaryDescription.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SummaryMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TensorConnection.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TensorDescription.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TensorInfo.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TensorProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TensorShapeProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TensorSliceProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TestResults.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.ValuesDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.VariableDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.VerifierConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.VersionDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.WatchdogConfig.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.WhileContextDef.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
setRepeatedField(Descriptors.FieldDescriptor, int, Object) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
setReplica(int) - Method in class org.tensorflow.proto.ServerDef.Builder: Replica this server manages.
setReportTensorAllocationsUponOom(boolean) - Method in class org.tensorflow.proto.RunOptions.Builder: When enabled, causes tensor allocation information to be included in the error message when the Run() call fails because the allocator ran out of memory (OOM).
setRepositoryPath(String) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Directory to save profile data to.
setRepositoryPathBytes(ByteString) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Directory to save profile data to.
setRequestedBytes(long) - Method in class org.tensorflow.proto.AllocationDescription.Builder: Total number of bytes requested
setRequestedSize(long) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: int64 requested_size = 3;
setResetDiskByteUsage(boolean) - Method in class org.tensorflow.proto.DebugOptions.Builder: Whether the total disk usage of tfdbg is to be reset to zero in this Session.run call.
setResource(SavedObjectGraphOuterClass.SavedResource) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
setResource(SavedObjectGraphOuterClass.SavedResource.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedResource resource = 10;
setResourceDtypesAndShapes(int, ResourceDtypeAndShape) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
setResourceDtypesAndShapes(int, ResourceDtypeAndShape.Builder) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder: Optional data types and shapes of a remote resource variable.
setResourceHandleVal(int, ResourceHandleProto) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
setResourceHandleVal(int, ResourceHandleProto.Builder) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_RESOURCE
setRestoreFunction(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder: int32 restore_function = 3;
setRestoreOpName(String) - Method in class org.tensorflow.proto.SaverDef.Builder: The operation to run when restoring a model checkpoint.
setRestoreOpNameBytes(ByteString) - Method in class org.tensorflow.proto.SaverDef.Builder: The operation to run when restoring a model checkpoint.
setRetTypes(int, DataType) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Return node types of the function.
setRetTypesValue(int, int) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Return node types of the function.
setRewriteOptions(RewriterConfig) - Method in class org.tensorflow.proto.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
setRewriteOptions(RewriterConfig.Builder) - Method in class org.tensorflow.proto.GraphOptions.Builder: Options that control the type and amount of graph rewriting.
setRpcOptions(RpcOptions.RPCOptions) - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
setRpcOptions(RpcOptions.RPCOptions.Builder) - Method in class org.tensorflow.proto.ConfigProto.Builder: Options that apply when this session uses the distributed runtime.
setRunConfiguration(RunConfiguration) - Method in class org.tensorflow.proto.TestResults.Builder: Run-specific parameters (arguments, etc)
setRunConfiguration(RunConfiguration.Builder) - Method in class org.tensorflow.proto.TestResults.Builder: Run-specific parameters (arguments, etc)
setRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
setRunHandlerPoolOptions(RunOptions.Experimental.RunHandlerPoolOptions.Builder) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
setRunId(String) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Run ID that this snapshot corresponds to.
setRunIdBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Run ID that this snapshot corresponds to.
setRunMetadata(ByteString) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder: Byte-encoded version of the `RunMetadata` proto in order to allow lazy deserialization.
setRunMode(String) - Method in class org.tensorflow.proto.TestResults.Builder: Used for differentiating between continuous and debug builds.
setRunModeBytes(ByteString) - Method in class org.tensorflow.proto.TestResults.Builder: Used for differentiating between continuous and debug builds.
setRunOptions(RunOptions) - Method in class org.tensorflow.proto.CallableOptions.Builder: Options that will be applied to each run.
setRunOptions(RunOptions.Builder) - Method in class org.tensorflow.proto.CallableOptions.Builder: Options that will be applied to each run.
setRunTime(double) - Method in class org.tensorflow.proto.TestResults.Builder: The amount of time the total run took (wall time in seconds)
sets - Variable in class org.tensorflow.framework.op.FrameworkOps
setS(int, ByteString) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(string)"
setS(ByteString) - Method in class org.tensorflow.proto.AttrValue.Builder: "string"
setS(String) - Method in class org.tensorflow.proto.FullTypeDef.Builder: string s = 3;
Sets - Class in org.tensorflow.framework.op.sets
Sets() - Constructor for class org.tensorflow.framework.op.sets.Sets
Sets.Operation - Enum in org.tensorflow.framework.op.sets: Enumeration containing the string operation values to be passed to the TensorFlow Sparse Ops function SparseOps.denseToDenseSetOperation(Operand, Operand, String, DenseToDenseSetOperation.Options...)
setSampleRate(float) - Method in class org.tensorflow.proto.Summary.Audio.Builder: Sample rate of the audio in Hz.
setSavedModelChecksum(long) - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of the saved_model.pb, referred to as a "checksum".
setSavedModelSchemaVersion(long) - Method in class org.tensorflow.proto.SavedModel.Builder: The schema version of the SavedModel instance.
setSavedObjectGraphHash(long) - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of the regularized SavedObjectGraph.
setSaveFunction(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder: Node ids of concrete functions for saving and loading from a checkpoint.
setSaverDef(SaverDef) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: SaverDef.
setSaverDef(SaverDef.Builder) - Method in class org.tensorflow.proto.MetaGraphDef.Builder: SaverDef.
setSaveSliceInfoDef(SaveSliceInfoDef) - Method in class org.tensorflow.proto.VariableDef.Builder: Support for saving variables as slices of a larger variable.
setSaveSliceInfoDef(SaveSliceInfoDef.Builder) - Method in class org.tensorflow.proto.VariableDef.Builder: Support for saving variables as slices of a larger variable.
setSaveTensorName(String) - Method in class org.tensorflow.proto.SaverDef.Builder: The operation to run when saving a model checkpoint.
setSaveTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.SaverDef.Builder: The operation to run when saving a model checkpoint.
setSBytes(ByteString) - Method in class org.tensorflow.proto.FullTypeDef.Builder: string s = 3;
setScheduledMicros(long) - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 scheduled_micros = 9;
setScheduledNanos(long) - Method in class org.tensorflow.proto.NodeExecStats.Builder: int64 scheduled_nanos = 17;
setScomplexVal(int, float) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
setScopedAllocatorOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
setScopedAllocatorOptimizationValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
setScopedAllocatorOpts(ScopedAllocatorOptions) - Method in class org.tensorflow.proto.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
setScopedAllocatorOpts(ScopedAllocatorOptions.Builder) - Method in class org.tensorflow.proto.RewriterConfig.Builder: .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
setSeqInterleavePrefetch(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool seq_interleave_prefetch = 21;
setSerialIdentifier(String) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Unique serial number of the machine.
setSerialIdentifierBytes(ByteString) - Method in class org.tensorflow.proto.MachineConfiguration.Builder: Unique serial number of the machine.
setSerializedUserProto(Any) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
setSerializedUserProto(Any.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: The user-generated proto storing metadata for this object, to be passed to the registered classes's _deserialize_from_proto method when this object is loaded from the SavedModel.
setServiceAddresses(int, String) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: List of servers to profile.
setServiceLeader(String) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Address where the coordination service instance is hosted.
setServiceLeaderBytes(ByteString) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Address where the coordination service instance is hosted.
setServiceOptions(DatasetOptions.ServiceOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The tf.data service options associated with the dataset.
setServiceOptions(DatasetOptions.ServiceOptions.Builder) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The tf.data service options associated with the dataset.
setServiceType(String) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Type of coordination service implementation to enable.
setServiceTypeBytes(ByteString) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Type of coordination service implementation to enable.
setSessionCreationTimestampNs(long) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder: Unix timestamp of when the session was started.
setSessionInfo(OpPerformanceData.SessionInfo) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Information about the session configs.
setSessionInfo(OpPerformanceData.SessionInfo) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Deprecated.
setSessionInfo(OpPerformanceData.SessionInfo.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder: Information about the session configs.
setSessionInfo(OpPerformanceData.SessionInfo.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Deprecated.
setSessionInterOpThreadPool(int, ThreadPoolOptionProto) - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
setSessionInterOpThreadPool(int, ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.proto.ConfigProto.Builder: This option is experimental - it may be replaced with a different mechanism in the future.
setSessionLog(SessionLog) - Method in class org.tensorflow.proto.Event.Builder: The state of the session which can be used for restarting after crashes.
setSessionLog(SessionLog.Builder) - Method in class org.tensorflow.proto.Event.Builder: The state of the session which can be used for restarting after crashes.
setSessionMetadata(SessionMetadata) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Metadata about the session.
setSessionMetadata(SessionMetadata) - Method in class org.tensorflow.proto.RunMetadata.Builder: Metadata about the session.
setSessionMetadata(SessionMetadata.Builder) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Metadata about the session.
setSessionMetadata(SessionMetadata.Builder) - Method in class org.tensorflow.proto.RunMetadata.Builder: Metadata about the session.
setShape - Variable in class org.tensorflow.op.core.SetSize.Inputs: 1D Tensor, shape of a SparseTensor.
setShape(int, long) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder: repeated int64 shape = 3;
setShape(int, long) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder: repeated int64 shape = 2;
setShape(int, long) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder: repeated int64 shape = 2;
setShape(int, TensorShapeProto) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
setShape(int, TensorShapeProto.Builder) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(shape)"
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.AttrValue.Builder: "shape"
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.TensorShapeProto shape = 1;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.TensorShapeProto shape = 1;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Shape of the tensor.
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Shape of the tensor
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto) - Method in class org.tensorflow.proto.TensorDescription.Builder: Shape of the tensor.
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.AttrValue.Builder: "shape"
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder: .tensorflow.TensorShapeProto shape = 1;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.TensorShapeProto shape = 1;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: .tensorflow.TensorShapeProto shape = 3;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder: Shape of the tensor.
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Shape of the tensor
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder: .tensorflow.TensorShapeProto shape = 2;
setShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.TensorDescription.Builder: Shape of the tensor.
setShapeAndType(int, CppShapeInference.CppShapeInferenceResult.HandleShapeAndType) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
setShapeAndType(int, CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder: Only valid if <is_set>.
setShapeOptimization(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
setShapeOptimizationValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Shape optimizations (default is ON) Simplify computations made on shapes.
setShapesOutputTensorName(String) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
setShapesOutputTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string shapes_output_tensor_name = 4;
setSharded(boolean) - Method in class org.tensorflow.proto.SaverDef.Builder: Shard the save files, one per device that has Variable nodes.
setShardId(int) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
setShardingPolicy(DataService.ProcessingModeDef.ShardingPolicy) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
setShardingPolicyValue(int) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder: .tensorflow.data.ProcessingModeDef.ShardingPolicy sharding_policy = 1;
setShareClusterDevicesInSession(boolean) - Method in class org.tensorflow.proto.ConfigProto.Builder: When true, WorkerSessions are created with device attributes from the full cluster.
setShareClusterDevicesInSession(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: This was promoted to a non-experimental API.
setSharedMemorySizePerMultiprocessor(long) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Shared memory size per multiprocessor in bytes.
setShareSessionStateInClusterspecPropagation(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: In the following, session state means the value of a variable, elements in a hash table, or any other resource, accessible by worker sessions held by a TF server.
setShuffleAndRepeatFusion(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder: bool shuffle_and_repeat_fusion = 17;
setShutdownBarrierTimeoutInMs(long) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder: Denotes how long to wait for all coordination agents to reach the barriers (after the first shutdown request) before disconnecting together.
setShutdownMode(WorkerShutdownMode) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
setShutdownModeValue(int) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WorkerShutdownMode shutdown_mode = 1;
setShutdownQuietPeriodMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: When shutting down a worker, how long to wait for the gRPC server to process the final requests.
setSigma(double) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder: double sigma = 2;
setSigma(double) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder: double sigma = 2;
setSignature(OpDef) - Method in class org.tensorflow.proto.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
setSignature(OpDef.Builder) - Method in class org.tensorflow.proto.FunctionDef.Builder: The definition of the function's name, arguments, return values, attrs etc.
setSignatureDefHash(long) - Method in class org.tensorflow.proto.FingerprintDef.Builder: Hash of the regularized (sorted) SignatureDefs.
setSimpleValue(float) - Method in class org.tensorflow.proto.Summary.Value.Builder: float simple_value = 2;
setSize(long) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: int64 size = 2;
setSize(long) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder: int64 size = 2;
setSize(long) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: int64 size = 5;
setSize(long) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder: int64 size = 1;
setSize(long) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder: Size of the tensor in that dimension.
setSize(Operand, Operand, Operand, SetSize.Options...) - Method in class org.tensorflow.op.Ops: Number of unique elements along last dimension of input set.
SetSize - Class in org.tensorflow.op.core: Number of unique elements along last dimension of input set.
SetSize(Operation) - Constructor for class org.tensorflow.op.core.SetSize
SetSize.Inputs - Class in org.tensorflow.op.core
SetSize.Options - Class in org.tensorflow.op.core: Optional attributes for SetSize
setSlack(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool slack = 4;
setSlice(int, TensorSliceProto) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
setSlice(int, TensorSliceProto.Builder) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Explicit list of slices saved in the checkpoint file.
setSlice(TensorSliceProto) - Method in class org.tensorflow.proto.SavedSlice.Builder: Extent of the slice.
setSlice(TensorSliceProto.Builder) - Method in class org.tensorflow.proto.SavedSlice.Builder: Extent of the slice.
setSlices(int, TensorSliceProto) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
setSlices(int, TensorSliceProto.Builder) - Method in class org.tensorflow.proto.BundleEntryProto.Builder: Iff present, this entry represents a partitioned tensor.
setSlot(int) - Method in class org.tensorflow.proto.NodeOutput.Builder: int32 slot = 1;
setSlotName(String) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: The name of the slot (e.g.
setSlotNameBytes(ByteString) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: The name of the slot (e.g.
setSlotVariableNodeId(int) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder: An index into `TrackableObjectGraph.nodes`, indicating the `Object` with the value of the slot variable.
setSlotVariables(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
setSlotVariables(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
setSlotVariables(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: Slot variables owned by this object.
setSlotVariables(int, TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder: Slot variables owned by this object.
setSnapshot(String) - Method in class org.tensorflow.proto.CommitId.Builder: Hash of intermediate change between hash/changelist and what was tested.
setSnapShot(int, BfcMemoryMap.SnapShot) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
setSnapShot(int, BfcMemoryMap.SnapShot.Builder) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: repeated .tensorflow.SnapShot snap_shot = 4;
setSnapshotBytes(ByteString) - Method in class org.tensorflow.proto.CommitId.Builder: Hash of intermediate change between hash/changelist and what was tested.
setSnapshotMaxChunkSizeBytes(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The maximum size of a distributed snapshot chunk file.
setSnapshotName(String) - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the snapshot tensor.
setSnapshotNameBytes(ByteString) - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the snapshot tensor.
setSocOpId(int) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: int32 soc_op_id = 4;
setSource(OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Indicates the source environment where this proto is generated.
setSourceFile(SourceFile) - Method in class org.tensorflow.proto.DebugEvent.Builder: The content of a source file.
setSourceFile(SourceFile.Builder) - Method in class org.tensorflow.proto.DebugEvent.Builder: The content of a source file.
setSourceFiles(int, DebuggedSourceFile) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
setSourceFiles(int, DebuggedSourceFile.Builder) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder: A collection of source code files.
setSourceMetadata(SourceMetadata) - Method in class org.tensorflow.proto.Event.Builder: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
setSourceMetadata(SourceMetadata.Builder) - Method in class org.tensorflow.proto.Event.Builder: Information of the source that writes the events, this is only logged in the very first event along with the `file_version` field.
setSourceValue(int) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder: Indicates the source environment where this proto is generated.
setStackFrameIds(int, String) - Method in class org.tensorflow.proto.CodeLocation.Builder: ID to a stack frame, each of which is pointed to by a unique ID.
setStackFrameWithId(StackFrameWithId) - Method in class org.tensorflow.proto.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
setStackFrameWithId(StackFrameWithId.Builder) - Method in class org.tensorflow.proto.DebugEvent.Builder: A stack frame (filename, line number and column number, function name and code string) with ID.
setStart(long) - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder: Start index of the slice, starting at 0.
setStartTime(long) - Method in class org.tensorflow.proto.TestResults.Builder: The time the run started (in seconds of UTC time since Unix epoch)
setStartTimestampNs(long) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: The local profiler starts profiling at this Unix timestamp in nanoseconds.
setStateValue(double) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: The actual value of the parameter.
setStats(int, Xplane.XStat) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
setStats(int, Xplane.XStat) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
setStats(int, Xplane.XStat) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
setStats(int, Xplane.XStat.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder: XStats associated with the event.
setStats(int, Xplane.XStat.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder: XStats that are constant for all XEvents with the same metadata_id.
setStats(int, Xplane.XStat.Builder) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder: XStats associated with this plane, e.g. device capabilities.
setStats(BfcMemoryMap.MemAllocatorStats) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
setStats(BfcMemoryMap.MemAllocatorStats.Builder) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder: .tensorflow.MemAllocatorStats stats = 5;
setStatsAggregatorDataset(Operand, Operand, Operand, Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalSetStatsAggregatorDataset operation
setStatsAggregatorDataset(Operand, Operand, Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: The SetStatsAggregatorDataset operation
SetStatsAggregatorDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalSetStatsAggregatorDataset operation
SetStatsAggregatorDataset - Class in org.tensorflow.op.data: The SetStatsAggregatorDataset operation
SetStatsAggregatorDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset
SetStatsAggregatorDataset(Operation) - Constructor for class org.tensorflow.op.data.SetStatsAggregatorDataset
SetStatsAggregatorDataset.Inputs - Class in org.tensorflow.op.data.experimental
SetStatsAggregatorDataset.Inputs - Class in org.tensorflow.op.data
setStatus(SessionLog.SessionStatus) - Method in class org.tensorflow.proto.SessionLog.Builder: .tensorflow.SessionLog.SessionStatus status = 1;
setStatusValue(int) - Method in class org.tensorflow.proto.SessionLog.Builder: .tensorflow.SessionLog.SessionStatus status = 1;
setStep(long) - Method in class org.tensorflow.proto.DebugEvent.Builder: Step of training (if available).
setStep(long) - Method in class org.tensorflow.proto.Event.Builder: Global step of the event.
setStepId(long) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder: uint64 step_id = 9;
setStepId(long) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder: Process-unique step id.
setStepId(long) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder: Process-unique step id.
setStepId(long) - Method in class org.tensorflow.proto.MemoryLogStep.Builder: Process-unique step id.
setStepId(long) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Process-unique step id.
setStepId(long) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Process-unique step id.
setStepStats(StepStats) - Method in class org.tensorflow.proto.RunMetadata.Builder: Statistics traced for this step.
setStepStats(StepStats.Builder) - Method in class org.tensorflow.proto.RunMetadata.Builder: Statistics traced for this step.
setStreamMergeOptions(GPUOptions.Experimental.StreamMergeOptions) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
setStreamMergeOptions(GPUOptions.Experimental.StreamMergeOptions.Builder) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: .tensorflow.GPUOptions.Experimental.StreamMergeOptions stream_merge_options = 19;
setStreamMergeThreshold(int) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: The threshold to merge small streams in TFRT.
setStrength(int) - Method in class org.tensorflow.proto.InterconnectLink.Builder: int32 strength = 3;
setStringVal(int, ByteString) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_STRING
setStringValue(String) - Method in class org.tensorflow.proto.EntryValue.Builder: string string_value = 2;
setStringValue(String) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a string of Unicode characters stored in a Python `str`.
setStringValueBytes(ByteString) - Method in class org.tensorflow.proto.EntryValue.Builder: string string_value = 2;
setStringValueBytes(ByteString) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a string of Unicode characters stored in a Python `str`.
setStrippedDefaultAttrs(boolean) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
setStrippedOpList(OpList) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
setStrippedOpList(OpList.Builder) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: A copy of the OpDefs used by the producer of this graph_def.
setStructureVerifier(VerifierConfig.Toggle) - Method in class org.tensorflow.proto.VerifierConfig.Builder: Perform structural validation on a tensorflow graph.
setStructureVerifierValue(int) - Method in class org.tensorflow.proto.VerifierConfig.Builder: Perform structural validation on a tensorflow graph.
setStrValue(String) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: string str_value = 5;
setStrValueBytes(ByteString) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: string str_value = 5;
setSum(double) - Method in class org.tensorflow.proto.HistogramProto.Builder: double sum = 4;
setSummary(String) - Method in class org.tensorflow.proto.ApiDef.Builder: One-line human-readable description of what the Op does.
setSummary(String) - Method in class org.tensorflow.proto.OpDef.Builder: One-line human-readable description of what the Op does.
setSummary(Summary) - Method in class org.tensorflow.proto.Event.Builder: A summary was generated.
setSummary(Summary.Builder) - Method in class org.tensorflow.proto.Event.Builder: A summary was generated.
setSummaryBytes(ByteString) - Method in class org.tensorflow.proto.ApiDef.Builder: One-line human-readable description of what the Op does.
setSummaryBytes(ByteString) - Method in class org.tensorflow.proto.OpDef.Builder: One-line human-readable description of what the Op does.
setSummaryDescription(String) - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Longform readable description of the summary sequence.
setSummaryDescriptionBytes(ByteString) - Method in class org.tensorflow.proto.SummaryMetadata.Builder: Longform readable description of the summary sequence.
setSumSquares(double) - Method in class org.tensorflow.proto.HistogramProto.Builder: double sum_squares = 5;
setSwapMemory(boolean) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Whether GPU-CPU memory swap is enabled for this loop.
setSymbolicCheckpoint(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool symbolic_checkpoint = 8;
setSynchronization(VariableSynchronization) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.VariableSynchronization synchronization = 4;
setSynchronization(VariableSynchronization) - Method in class org.tensorflow.proto.VariableDef.Builder: Indicates when a distributed variable will be synced.
setSynchronizationValue(int) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: .tensorflow.VariableSynchronization synchronization = 4;
setSynchronizationValue(int) - Method in class org.tensorflow.proto.VariableDef.Builder: Indicates when a distributed variable will be synced.
setSystem(String) - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
setSystemBytes(ByteString) - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g.
setTag(String) - Method in class org.tensorflow.proto.Summary.Value.Builder: Tag name for the data.
setTag(String) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder: Tag name associated with this metadata.
setTagBytes(ByteString) - Method in class org.tensorflow.proto.Summary.Value.Builder: Tag name for the data.
setTagBytes(ByteString) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder: Tag name associated with this metadata.
setTaggedRunMetadata(TaggedRunMetadata) - Method in class org.tensorflow.proto.Event.Builder: The metadata returned by running a session.run() call.
setTaggedRunMetadata(TaggedRunMetadata.Builder) - Method in class org.tensorflow.proto.Event.Builder: The metadata returned by running a session.run() call.
setTags(int, String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: User supplied tag(s) on the meta_graph and included graph_def.
setTarget(int, String) - Method in class org.tensorflow.proto.CallableOptions.Builder: Target Nodes.
setTarget(String) - Method in class org.tensorflow.proto.TestResults.Builder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
setTargetBytes(ByteString) - Method in class org.tensorflow.proto.TestResults.Builder: The target of the run, e.g.: //tensorflow/core:kernels_adjust_contrast_op_benchmark_test
setTargetGpu(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, TFRT will use GPU specific compiler passes and perform GPU specific initialization.
setTargetTpu(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, TFRT will use TPU specific compiler passes and perform TPU specific initialization.
setTaskIndex(int) - Method in class org.tensorflow.proto.ServerDef.Builder: The task index of this server in its job.
setTempMemory(long) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder: Temp and persistent memory allocated by this node.
setTempMemorySize(long) - Method in class org.tensorflow.proto.MemoryStats.Builder: int64 temp_memory_size = 1;
setTemporaryMemorySize(long) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder: Temporary memory used by this node.
setTemporaryMemorySize(long) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder: Temporary memory used by this node (in bytes).
setTensor(int, SavedSliceMeta) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
setTensor(int, SavedSliceMeta.Builder) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Each SavedSliceMeta describes the slices for one tensor.
setTensor(int, TensorProto) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
setTensor(int, TensorProto) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
setTensor(int, TensorProto.Builder) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(tensor)"
setTensor(int, TensorProto.Builder) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder: repeated .tensorflow.TensorProto tensor = 1;
setTensor(TensorDescription) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Allocated tensor details.
setTensor(TensorDescription) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Output tensor details.
setTensor(TensorDescription.Builder) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder: Allocated tensor details.
setTensor(TensorDescription.Builder) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder: Output tensor details.
setTensor(TensorProto) - Method in class org.tensorflow.proto.AttrValue.Builder: "tensor"
setTensor(TensorProto) - Method in class org.tensorflow.proto.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
setTensor(TensorProto) - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
setTensor(TensorProto.Builder) - Method in class org.tensorflow.proto.AttrValue.Builder: "tensor"
setTensor(TensorProto.Builder) - Method in class org.tensorflow.proto.NamedTensorProto.Builder: The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.
setTensor(TensorProto.Builder) - Method in class org.tensorflow.proto.Summary.Value.Builder: .tensorflow.TensorProto tensor = 8;
setTensorConnection(int, TensorConnection) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
setTensorConnection(int, TensorConnection.Builder) - Method in class org.tensorflow.proto.CallableOptions.Builder: Tensors to be connected in the callable.
setTensorContent(int, ByteString) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder: repeated bytes tensor_content = 1;
setTensorContent(ByteString) - Method in class org.tensorflow.proto.TensorProto.Builder: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
setTensorDebugMode(TensorDebugMode) - Method in class org.tensorflow.proto.Execution.Builder: Type of the tensor value encapsulated in this proto.
setTensorDebugMode(TensorDebugMode) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Type of the tensor value encapsulated in this proto.
setTensorDebugModeValue(int) - Method in class org.tensorflow.proto.Execution.Builder: Type of the tensor value encapsulated in this proto.
setTensorDebugModeValue(int) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Type of the tensor value encapsulated in this proto.
setTensorDescription(TensorDescription) - Method in class org.tensorflow.proto.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
setTensorDescription(TensorDescription.Builder) - Method in class org.tensorflow.proto.NodeOutput.Builder: .tensorflow.TensorDescription tensor_description = 3;
setTensorDtypeValue(DataType) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents an enum value for dtype.
setTensorDtypeValueValue(int) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents an enum value for dtype.
setTensorflowGitVersion(String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
setTensorflowGitVersionBytes(ByteString) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: The __git_version__ string of the tensorflow build used to write this graph.
setTensorflowVersion(String) - Method in class org.tensorflow.proto.DebugMetadata.Builder: Version of TensorFlow.
setTensorflowVersion(String) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
setTensorflowVersionBytes(ByteString) - Method in class org.tensorflow.proto.DebugMetadata.Builder: Version of TensorFlow.
setTensorflowVersionBytes(ByteString) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder: The __version__ string of the tensorflow build used to write this graph.
setTensorInfo(TensorInfo) - Method in class org.tensorflow.proto.AssetFileDef.Builder: The tensor to bind the asset filename to.
setTensorInfo(TensorInfo.Builder) - Method in class org.tensorflow.proto.AssetFileDef.Builder: The tensor to bind the asset filename to.
setTensorMetadata(int, Snapshot.TensorMetadata) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
setTensorMetadata(int, Snapshot.TensorMetadata.Builder) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder: repeated .tensorflow.data.experimental.TensorMetadata tensor_metadata = 1;
setTensorProto(TensorProto) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
setTensorProto(TensorProto.Builder) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Tensor value in the type described by `tensor_value_type`.
setTensorProtos(int, TensorProto) - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
setTensorProtos(int, TensorProto.Builder) - Method in class org.tensorflow.proto.Execution.Builder: Output Tensor values in the type described by `tensor_value_type`.
setTensors(int, TensorProto) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
setTensors(int, TensorProto.Builder) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Tensors contained within objects being serialized.
setTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The shape of the component tensor.
setTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
setTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
setTensorShape(TensorShapeProto) - Method in class org.tensorflow.proto.TensorProto.Builder: Shape of the tensor.
setTensorShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The shape of the component tensor.
setTensorShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder: .tensorflow.TensorShapeProto tensor_shape = 2;
setTensorShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.TensorInfo.Builder: The static shape should be recorded here, to the extent that it can be known in advance.
setTensorShape(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.TensorProto.Builder: Shape of the tensor.
setTensorShapeValue(TensorShapeProto) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a TensorShape.
setTensorShapeValue(TensorShapeProto.Builder) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a TensorShape.
setTensorSizeBytes(long) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder: Number of uncompressed bytes used to store the tensor representation.
setTensorSpecValue(Struct.TensorSpecProto) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TensorSpec.
setTensorSpecValue(Struct.TensorSpecProto.Builder) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TensorSpec.
setTensorValue(TensorProto) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.Tensor.
setTensorValue(TensorProto.Builder) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.Tensor.
setTF(Ops) - Method in class org.tensorflow.framework.activations.AbstractActivation: Sets the TensorFlow Ops
setTF(Ops) - Method in class org.tensorflow.framework.metrics.BaseMetric: Sets the TensorFlow Ops for this metric.
setTfdbgContextId(String) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
setTfdbgContextIdBytes(ByteString) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder: Unique ID of the context that the executed op(s) belong to (e.g., a compiled concrete tf.function).
setTfdbgRunId(String) - Method in class org.tensorflow.proto.DebugMetadata.Builder: A unique ID for the current run of tfdbg.
setTfdbgRunIdBytes(ByteString) - Method in class org.tensorflow.proto.DebugMetadata.Builder: A unique ID for the current run of tfdbg.
setTfrtUseIfrt(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, use ifrt as the backend for TFRT.
setTfVersion(String) - Method in class org.tensorflow.proto.TestResults.Builder: TensorFlow version this benchmark runs against.
setTfVersionBytes(ByteString) - Method in class org.tensorflow.proto.TestResults.Builder: TensorFlow version this benchmark runs against.
setThreadId(int) - Method in class org.tensorflow.proto.NodeExecStats.Builder: uint32 thread_id = 10;
setThreadingOptions(DatasetOptions.ThreadingOptions) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The threading options associated with the dataset.
setThreadingOptions(DatasetOptions.ThreadingOptions.Builder) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: The threading options associated with the dataset.
setThroughput(double) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Throughput (in MB/s)
setTimelineLabel(String) - Method in class org.tensorflow.proto.NodeExecStats.Builder: string timeline_label = 8;
setTimelineLabelBytes(ByteString) - Method in class org.tensorflow.proto.NodeExecStats.Builder: string timeline_label = 8;
setTimelineStep(int) - Method in class org.tensorflow.proto.GraphOptions.Builder: If > 0, record a timeline every this many steps.
setTimeoutInMs(long) - Method in class org.tensorflow.proto.RunOptions.Builder: Time to wait for operation to complete in milliseconds.
setTimeoutMs(long) - Method in class org.tensorflow.proto.WatchdogConfig.Builder: int64 timeout_ms = 1;
setTimestampedAllocator(boolean) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
setTimestampNs(long) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder: Start time of this line in nanoseconds since the UNIX epoch.
setTolerateDebugOpCreationFailures(boolean) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder: Do not error out if debug op creation fails (e.g., due to dtype incompatibility).
setTotal(long) - Method in class org.tensorflow.proto.MemoryInfo.Builder: Total virtual memory in bytes
setTotalBytes(long) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder: These are per-node allocator memory stats.
setTotalBytesInBin(long) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int64 total_bytes_in_bin = 3;
setTotalBytesInUse(long) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int64 total_bytes_in_use = 2;
setTotalChunksInBin(long) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int64 total_chunks_in_bin = 5;
setTotalChunksInUse(long) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder: int64 total_chunks_in_use = 4;
setToTensor(String) - Method in class org.tensorflow.proto.TensorConnection.Builder: A tensor name.
setToTensorBytes(ByteString) - Method in class org.tensorflow.proto.TensorConnection.Builder: A tensor name.
setTraceLevel(RunOptions.TraceLevel) - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
setTraceLevelValue(int) - Method in class org.tensorflow.proto.RunOptions.Builder: .tensorflow.RunOptions.TraceLevel trace_level = 1;
setTrainable(boolean) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder: bool trainable = 3;
setTrainable(boolean) - Method in class org.tensorflow.proto.VariableDef.Builder: Whether this variable should be trained.
setTrainerId(String) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder: string trainer_id = 1;
setTrainerIdBytes(ByteString) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder: string trainer_id = 1;
setTunable(boolean) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Identifies whether the parameter should participate in autotuning.
setTupleValue(Struct.TupleValue) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a tuple of `Value`.
setTupleValue(Struct.TupleValue.Builder) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a tuple of `Value`.
setType(int, DataType) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(type)"
setType(String) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Device type, e.g.
setType(String) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Device type (CPU, GPU, ...)
setType(String) - Method in class org.tensorflow.proto.InterconnectLink.Builder: string type = 2;
setType(String) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
setType(DataType) - Method in class org.tensorflow.proto.AttrValue.Builder: "type"
setType(DataType) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
setType(DataType) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Type of the tensor
setType(FullTypeDef) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.FullTypeDef type = 4;
setType(FullTypeDef.Builder) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder: .tensorflow.FullTypeDef type = 4;
setTypeAttr(String) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: if specified, attr must have type "type"
setTypeAttrBytes(ByteString) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: if specified, attr must have type "type"
setTypeBytes(ByteString) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder: Device type, e.g.
setTypeBytes(ByteString) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Device type (CPU, GPU, ...)
setTypeBytes(ByteString) - Method in class org.tensorflow.proto.InterconnectLink.Builder: string type = 2;
setTypeBytes(ByteString) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder: One of the type names from attr_value.proto ("string", "list(string)", "int", etc.).
setTypeHint(String) - Method in class org.tensorflow.proto.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
setTypeHintBytes(ByteString) - Method in class org.tensorflow.proto.SummaryDescription.Builder: Hint on how plugins should process the data in this series.
setTypeId(FullTypeId) - Method in class org.tensorflow.proto.FullTypeDef.Builder: The principal type represented by this object.
setTypeIdValue(int) - Method in class org.tensorflow.proto.FullTypeDef.Builder: The principal type represented by this object.
setTypeListAttr(String) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
setTypeListAttrBytes(ByteString) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: If specified, attr must have type "list(type)", and none of type, type_attr, and number_attr may be specified.
setTypeName(String) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: string type_name = 3;
setTypeName(String) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
setTypeNameBytes(ByteString) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder: string type_name = 3;
setTypeNameBytes(ByteString) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder: Name of the type of objects being serialized.
setTypeSpec(Struct.TypeSpecProto) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
setTypeSpec(Struct.TypeSpecProto.Builder) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder: The serialized TypeSpec for the composite tensor.
setTypeSpecClass(Struct.TypeSpecProto.TypeSpecClass) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
setTypeSpecClassName(String) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The name of the TypeSpec class
setTypeSpecClassNameBytes(ByteString) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The name of the TypeSpec class
setTypeSpecClassValue(int) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: .tensorflow.TypeSpecProto.TypeSpecClass type_spec_class = 1;
setTypeSpecProto(Struct.TypeSpecProto) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
setTypeSpecProto(Struct.TypeSpecProto.Builder) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder: .tensorflow.TypeSpecProto type_spec_proto = 1;
setTypeSpecValue(Struct.TypeSpecProto) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TypeSpec.
setTypeSpecValue(Struct.TypeSpecProto.Builder) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder: Represents a value for tf.TypeSpec.
setTypeState(Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The value returned by TypeSpec.
setTypeState(Struct.StructuredValue.Builder) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder: The value returned by TypeSpec.
setTypeValue(int) - Method in class org.tensorflow.proto.AttrValue.Builder: "type"
setTypeValue(int) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder: Describes the type of one or more tensors that are accepted/produced by this input/output arg.
setTypeValue(int) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder: Type of the tensor
setTypeValue(int, int) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder: "list(type)"
setUint32Val(int, int) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT32
setUint64Val(int, long) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_UINT64
setUint64Value(long) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder: uint64 uint64_value = 3;
setUncompressedBytes(int, long) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder: The amount of uncompressed tensor data. - For string tensors, there is an element for each string indicating the size of the string. - For all other tensors, there is a single element indicating the size of the tensor.
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AllocationDescription.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AllocationRecord.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AllocatorMemoryUsed.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ApiDef.Arg.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ApiDef.Attr.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ApiDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ApiDef.Endpoint.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ApiDefs.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AssetFileDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AttrValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AttrValue.ListValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AutoParallelOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.AvailableDeviceInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BenchmarkEntries.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BuildConfiguration.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BundleEntryProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.BytesList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CallableOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ClusterDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ClusterDeviceFilters.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CodeLocation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CollectionDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CommitId.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CondContextDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ConfigProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CostGraphDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CostGraphDef.Node.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.CPUInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebugEvent.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebuggedDevice.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebuggedGraph.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebuggedSourceFile.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebuggedSourceFiles.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebugMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebugOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DebugTensorWatch.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DeviceAttributes.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DeviceLocality.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.DeviceStepStats.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.EntryValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Event.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Example.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ExampleParserConfiguration.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Execution.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Feature.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FeatureList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FeatureLists.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Features.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FingerprintDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FloatList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FullTypeDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FunctionDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.FunctionDefLibrary.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GPUInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GPUOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GradientDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphDebugInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphExecutionTrace.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphOpCreation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferNodeInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferNodeInput.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.HistogramProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Int64List.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.InterconnectLink.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.JobDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.JobDeviceFilters.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.KernelDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.KernelList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.LocalLinks.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.LogMessage.Builder: Deprecated.
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MachineConfiguration.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryLogRawAllocation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryLogStep.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryLogTensorOutput.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MemoryStats.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MetaGraphDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.MetricEntry.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.NameAttrList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.NamedTensorProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.NodeDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.NodeExecStats.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.NodeOutput.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpDef.ArgDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpDef.AttrDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpDeprecation.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.OptimizerOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.PlatformInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XLine.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XStat.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.QueueRunnerDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ReaderBaseState.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RegisteredGradient.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RequestedExitCode.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ResourceHandleProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RewriterConfig.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RunConfiguration.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RunMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RunOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedModel.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedSlice.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedSliceMeta.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SavedTensorSlices.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SaverDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ScopedAllocatorOptions.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SequenceExample.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SerializedDType.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ServerDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SessionLog.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SessionMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SignatureDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SourceFile.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SourceMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.StackFrameWithId.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.StatusProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.StepStats.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.DictValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.ListValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.NoneValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.PairValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.StructuredValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.TensorSpecProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Struct.TypeSpecProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Summary.Audio.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Summary.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Summary.Image.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.Summary.Value.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SummaryDescription.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SummaryMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TaggedRunMetadata.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TaskDeviceFilters.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorConnection.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorDescription.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorInfo.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorShapeProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorShapeProto.Dim.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorSliceProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TensorSliceProto.Extent.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TestResults.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ThreadPoolOptionProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.ValuesDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.VariableDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.VariantTensorDataProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.VerifierConfig.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.VersionDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.WatchdogConfig.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.WhileContextDef.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder
setUnknownFields(UnknownFieldSet) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder
setUnknownRank(boolean) - Method in class org.tensorflow.proto.TensorShapeProto.Builder: If true, the number of dimensions in the shape is unknown.
setUseCudaMallocAsync(boolean) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: When true, use CUDA cudaMallocAsync API instead of TF gpu allocator.
setUseNumaAffinity(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: If true, and supported by the platform, the runtime will attempt to use NUMA affinity where applicable.
setUsePerSessionThreads(boolean) - Method in class org.tensorflow.proto.ConfigProto.Builder: If true, use a new set of threads for this session rather than the global pool of threads.
setUsePluginOptimizers(RewriterConfig.Toggle) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimizers registered by plugin (default is ON)
setUsePluginOptimizersValue(int) - Method in class org.tensorflow.proto.RewriterConfig.Builder: Optimizers registered by plugin (default is ON)
setUserObject(SavedObjectGraphOuterClass.SavedUserObject) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
setUserObject(SavedObjectGraphOuterClass.SavedUserObject.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedUserObject user_object = 4;
setUseRpcForInprocessMaster(boolean) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions.Builder: If true, always use RPC to contact the session target.
setUseRunHandlerPool(boolean) - Method in class org.tensorflow.proto.RunOptions.Experimental.Builder: If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
setUseTfrt(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Whether runtime execution uses TFRT.
setUseUnifiedMemory(boolean) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: If true, uses CUDA unified memory for memory allocations.
setUuid(String) - Method in class org.tensorflow.proto.GPUInfo.Builder: Final entry in output of "nvidia-smi -L"
setUuidBytes(ByteString) - Method in class org.tensorflow.proto.GPUInfo.Builder: Final entry in output of "nvidia-smi -L"
setValue(double) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter.Builder: Identifies the model value of the parameter.
setValue(double) - Method in class org.tensorflow.proto.MetricEntry.Builder: Metric value
setValue(int, float) - Method in class org.tensorflow.proto.CollectionDef.FloatList.Builder: repeated float value = 1 [packed = true];
setValue(int, float) - Method in class org.tensorflow.proto.FloatList.Builder: repeated float value = 1 [packed = true];
setValue(int, long) - Method in class org.tensorflow.proto.CollectionDef.Int64List.Builder: repeated int64 value = 1 [packed = true];
setValue(int, long) - Method in class org.tensorflow.proto.Int64List.Builder: repeated int64 value = 1 [packed = true];
setValue(int, Any) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
setValue(int, Any.Builder) - Method in class org.tensorflow.proto.CollectionDef.AnyList.Builder: repeated .google.protobuf.Any value = 1;
setValue(int, ByteString) - Method in class org.tensorflow.proto.BytesList.Builder: repeated bytes value = 1;
setValue(int, ByteString) - Method in class org.tensorflow.proto.CollectionDef.BytesList.Builder: repeated bytes value = 1;
setValue(int, String) - Method in class org.tensorflow.proto.CollectionDef.NodeList.Builder: repeated string value = 1;
setValue(int, Summary.Value) - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
setValue(int, Summary.Value.Builder) - Method in class org.tensorflow.proto.Summary.Builder: Set of values for the summary.
setValue(Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.PairValue.Builder: .tensorflow.StructuredValue value = 2;
setValue(Struct.StructuredValue.Builder) - Method in class org.tensorflow.proto.Struct.PairValue.Builder: .tensorflow.StructuredValue value = 2;
setValue(TensorProto) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
setValue(TensorProto.Builder) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties.Builder: .tensorflow.TensorProto value = 3;
setValues - Variable in class org.tensorflow.op.core.SetSize.Inputs: 1D Tensor, values of a SparseTensor.
setValues(int, String) - Method in class org.tensorflow.proto.ValuesDef.Builder: Value names that have been seen in this context.
setValues(int, Struct.PairValue) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
setValues(int, Struct.PairValue.Builder) - Method in class org.tensorflow.proto.Struct.NamedTupleValue.Builder: repeated .tensorflow.PairValue values = 2;
setValues(int, Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
setValues(int, Struct.StructuredValue) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
setValues(int, Struct.StructuredValue.Builder) - Method in class org.tensorflow.proto.Struct.ListValue.Builder: repeated .tensorflow.StructuredValue values = 1;
setValues(int, Struct.StructuredValue.Builder) - Method in class org.tensorflow.proto.Struct.TupleValue.Builder: repeated .tensorflow.StructuredValue values = 1;
setValuesDef(ValuesDef) - Method in class org.tensorflow.proto.CondContextDef.Builder: Values and external values in control flow context.
setValuesDef(ValuesDef) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Values and external values in control flow context.
setValuesDef(ValuesDef.Builder) - Method in class org.tensorflow.proto.CondContextDef.Builder: Values and external values in control flow context.
setValuesDef(ValuesDef.Builder) - Method in class org.tensorflow.proto.WhileContextDef.Builder: Values and external values in control flow context.
setValuesOutputTensorName(String) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
setValuesOutputTensorName(String) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
setValuesOutputTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.FixedLenFeatureProto.Builder: string values_output_tensor_name = 4;
setValuesOutputTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.VarLenFeatureProto.Builder: string values_output_tensor_name = 2;
setValuesTensorName(String) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
setValuesTensorNameBytes(ByteString) - Method in class org.tensorflow.proto.TensorInfo.CooSparse.Builder: The shape of the values Tensor is [?].
setVariable(SavedObjectGraphOuterClass.SavedVariable) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
setVariable(SavedObjectGraphOuterClass.SavedVariable.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.Builder: .tensorflow.SavedVariable variable = 7;
setVariableName(String) - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the variable tensor.
setVariableNameBytes(ByteString) - Method in class org.tensorflow.proto.VariableDef.Builder: Name of the variable tensor.
setVariantVal(int, VariantTensorDataProto) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
setVariantVal(int, VariantTensorDataProto.Builder) - Method in class org.tensorflow.proto.TensorProto.Builder: DT_VARIANT
setVarLenFeature(VarLenFeatureProto) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
setVarLenFeature(VarLenFeatureProto.Builder) - Method in class org.tensorflow.proto.FeatureConfiguration.Builder: .tensorflow.VarLenFeatureProto var_len_feature = 2;
setVarOffset(int, long) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Offset of this variable into the full variable.
setVarShape(int, long) - Method in class org.tensorflow.proto.SaveSliceInfoDef.Builder: Shape of this variable.
setVendor(String) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
setVendorBytes(ByteString) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties.Builder: Vendor (Intel, nvidia, ...)
setVerificationTimeoutInMs(long) - Method in class org.tensorflow.proto.VerifierConfig.Builder: Deadline for completion of all verification i.e. all the Toggle ON verifiers must complete execution within this time.
setVersion(int) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement.Builder: Version of the CompressedElement.
setVersion(int) - Method in class org.tensorflow.proto.GraphDef.Builder: Deprecated.
tensorflow.GraphDef.version is deprecated. See tensorflow/core/framework/graph.proto;l=27
setVersion(int) - Method in class org.tensorflow.proto.OpDeprecation.Builder: First GraphDef version at which the op is disallowed.
setVersion(int) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions.Builder: Some default value of option are not proto3 default value.
setVersion(long) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord.Builder: Version of the snapshot data file format.
setVersion(long) - Method in class org.tensorflow.proto.SessionMetadata.Builder: The version is optional.
setVersion(String) - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '#120-Ubuntu SMP Mon Jan 18 15:59:10 UTC 2016'
setVersion(SaverDef.CheckpointFormatVersion) - Method in class org.tensorflow.proto.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
setVersion(VersionDef) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
setVersion(VersionDef) - Method in class org.tensorflow.proto.FingerprintDef.Builder: Version specification of the fingerprint.
setVersion(VersionDef) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
setVersion(VersionDef.Builder) - Method in class org.tensorflow.proto.BundleHeaderProto.Builder: Versioning of the tensor bundle format.
setVersion(VersionDef.Builder) - Method in class org.tensorflow.proto.FingerprintDef.Builder: Version specification of the fingerprint.
setVersion(VersionDef.Builder) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject.Builder: Version information from the producer of this SavedUserObject.
setVersionBytes(ByteString) - Method in class org.tensorflow.proto.PlatformInfo.Builder: e.g. '#120-Ubuntu SMP Mon Jan 18 15:59:10 UTC 2016'
setVersionNumber(int) - Method in class org.tensorflow.proto.TensorProto.Builder: Version number.
setVersions(VersionDef) - Method in class org.tensorflow.proto.GraphDef.Builder: Compatibility versions of the graph.
setVersions(VersionDef) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
setVersions(VersionDef.Builder) - Method in class org.tensorflow.proto.GraphDef.Builder: Compatibility versions of the graph.
setVersions(VersionDef.Builder) - Method in class org.tensorflow.proto.SavedTensorSliceMeta.Builder: Compatibility version of this checkpoint.
setVersionValue(int) - Method in class org.tensorflow.proto.SaverDef.Builder: .tensorflow.SaverDef.CheckpointFormatVersion version = 7;
setVirtualDevices(int, GPUOptions.Experimental.VirtualDevices) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
setVirtualDevices(int, GPUOptions.Experimental.VirtualDevices.Builder) - Method in class org.tensorflow.proto.GPUOptions.Experimental.Builder: The multi virtual device settings.
setVisibility(ApiDef.Visibility) - Method in class org.tensorflow.proto.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
setVisibilityValue(int) - Method in class org.tensorflow.proto.ApiDef.Builder: .tensorflow.ApiDef.Visibility visibility = 2;
setVisibleDeviceList(String) - Method in class org.tensorflow.proto.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
setVisibleDeviceListBytes(ByteString) - Method in class org.tensorflow.proto.GPUOptions.Builder: A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices.
setWallTime(double) - Method in class org.tensorflow.proto.BenchmarkEntry.Builder: Total wall time used for all iterations (in seconds)
setWallTime(double) - Method in class org.tensorflow.proto.DebugEvent.Builder: Timestamp in seconds (with microsecond precision).
setWallTime(double) - Method in class org.tensorflow.proto.Event.Builder: Timestamp of the event.
setWarmStart(boolean) - Method in class org.tensorflow.proto.data.DatasetOptions.Options.Builder: bool warm_start = 9;
setWarnings(int, String) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace.Builder: Warnings (if any) in the generation of planes;
setWatchdogConfig(WatchdogConfig) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
setWatchdogConfig(WatchdogConfig.Builder) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest.Builder: .tensorflow.WatchdogConfig watchdog_config = 2;
setWhileCtxt(WhileContextDef) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
setWhileCtxt(WhileContextDef.Builder) - Method in class org.tensorflow.proto.ControlFlowContextDef.Builder: .tensorflow.WhileContextDef while_ctxt = 2;
setWidth(int) - Method in class org.tensorflow.proto.Summary.Image.Builder: int32 width = 2;
setWorkDir(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: A work directory to use for storing dispatcher state, and for recovering during restarts.
setWorkDirBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: A work directory to use for storing dispatcher state, and for recovering during restarts.
setWorkerAddress(String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the worker server.
setWorkerAddressBytes(ByteString) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: The address of the worker server.
setWorkerAddresses(int, String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: (Optional.)
setWorkerLog(int, Event) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
setWorkerLog(int, Event.Builder) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse.Builder: repeated .tensorflow.Event worker_log = 2;
setWorkerMaxConcurrentSnapshots(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: The maximum number of snapshots that a worker can concurrently process at a given point in time.
setWorkerTags(int, String) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig.Builder: Tags attached to the worker.
setWorkerTimeoutMs(long) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig.Builder: How long to wait for a worker to heartbeat before considering it missing.
setWorkFinished(long) - Method in class org.tensorflow.proto.ReaderBaseState.Builder: int64 work_finished = 2;
setWorkStarted(long) - Method in class org.tensorflow.proto.ReaderBaseState.Builder: int64 work_started = 1;
setWriter(String) - Method in class org.tensorflow.proto.SourceMetadata.Builder: Low level name of the summary writer, such as `tensorflow.core.util.events_writer`.
setWriterBytes(ByteString) - Method in class org.tensorflow.proto.SourceMetadata.Builder: Low level name of the summary writer, such as `tensorflow.core.util.events_writer`.
setXlaFusionAutotunerThresh(long) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Minimum number of batches run through the XLA graph before XLA fusion autotuner is enabled.
setXlaGlobalId(long) - Method in class org.tensorflow.proto.DeviceAttributes.Builder: A physical device ID for use in XLA DeviceAssignments, unique across clients in a multi-client setup.
setXlaPreferSingleGraphCluster(boolean) - Method in class org.tensorflow.proto.ConfigProto.Experimental.Builder: Provides a hint to XLA auto clustering to prefer forming a single large cluster that encompases most of the graph.
shall_pin_to_this_device() - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
shall_pin_to_this_device(TFE_CustomDevice.Shall_pin_to_this_device_TFE_Op_TF_Status) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
Shall_pin_to_this_device_TFE_Op_TF_Status() - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice.Shall_pin_to_this_device_TFE_Op_TF_Status
Shall_pin_to_this_device_TFE_Op_TF_Status(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice.Shall_pin_to_this_device_TFE_Op_TF_Status: Pointer cast constructor.
shape - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The shape input
shape - Variable in class org.tensorflow.op.core.BroadcastTo.Inputs: An 1-D int Tensor.
shape - Variable in class org.tensorflow.op.core.ConcatOffset.Inputs: The N int32 or int64 vectors representing shape of tensors being concatenated.
shape - Variable in class org.tensorflow.op.core.Empty.Inputs: 1-D.
shape - Variable in class org.tensorflow.op.core.EnsureShape.Inputs: The expected (possibly partially specified) shape of the input tensor.
shape - Variable in class org.tensorflow.op.core.FakeParam.Inputs: The purported shape of the output.
shape - Variable in class org.tensorflow.op.core.ImmutableConst.Inputs: Shape of the returned tensor.
shape - Variable in class org.tensorflow.op.core.NcclBroadcast.Inputs: Deprecated.

The shape attribute
shape - Variable in class org.tensorflow.op.core.ParallelConcat.Inputs: the final shape of the result; should be equal to the shapes of any input but with the number of input values in the first dimension.
shape - Variable in class org.tensorflow.op.core.Placeholder.Inputs: (Optional) The shape of the tensor.
shape - Variable in class org.tensorflow.op.core.PlaceholderWithDefault.Inputs: The (possibly partial) shape of the tensor.
shape - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: Defines the shape of the output tensor.
shape - Variable in class org.tensorflow.op.core.Reshape.Inputs: Defines the shape of the output tensor.
shape - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: 1-D.
shape - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The shape input
shape - Variable in class org.tensorflow.op.core.TemporaryVariable.Inputs: The shape of the variable tensor.
shape - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: The (possibly partially specified) shape of this variable.
shape - Variable in class org.tensorflow.op.core.Variable.Inputs: The shape of the variable tensor.
shape - Variable in class org.tensorflow.op.distribute.NcclBroadcast.Inputs: The shape attribute
shape - Variable in class org.tensorflow.op.math.AccumulateN.Inputs: Shape of elements of inputs.
shape - Variable in class org.tensorflow.op.Ops
shape - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The desired shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.NonDeterministicInts.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: 1-D integer tensor.
shape - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: 1-D integer tensor.
shape - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The shape input
shape - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: The shape of the values.
shape - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 1-D. tensor represents the shape of the sparse tensor.
shape - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: 1-D. tensor represents the shape of the sparse tensor. output indices: A list of 1-D tensors represents the indices of the output sparse tensors.
shape - Variable in class org.tensorflow.op.tpu.InfeedDequeue.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.tpu.OutfeedDequeue.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.tpu.OutfeedDequeueV2.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.tpu.Prelinearize.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: The shape of the values, can be [], in which case shape is unknown.
shape - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: The shape of the values, can be [], in which case shape is unknown.
shape - Variable in class org.tensorflow.op.xla.XlaRecvFromHost.Inputs: The shape attribute
shape - Variable in class org.tensorflow.Signature.TensorDescription: The shape of the tensor
shape() - Method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: Gets shape.
shape() - Method in class org.tensorflow.op.strings.StringSplit: Gets shape.
shape() - Method in interface org.tensorflow.Operand: Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
shape() - Method in class org.tensorflow.Output: Returns the (possibly partially known) shape of the tensor referred to by this output.
shape() - Method in class org.tensorflow.RawTensor
shape() - Method in interface org.tensorflow.Tensor: Returns the shape of the tensor.
shape(Shape) - Method in class org.tensorflow.op.core.Placeholder.Options: Sets the shape option.
shape(Shape) - Static method in class org.tensorflow.op.core.Placeholder: Sets the shape option.
shape(Shape) - Method in class org.tensorflow.op.tpu.InfeedEnqueue.Options: Sets the shape option.
shape(Shape) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Sets the shape option.
shape(Shape) - Method in class org.tensorflow.op.tpu.Prelinearize.Options: Sets the shape option.
shape(Shape) - Static method in class org.tensorflow.op.tpu.Prelinearize: Sets the shape option.
shape(Operand) - Method in class org.tensorflow.op.Ops: Returns the shape of a tensor.
shape(Operand, Class) - Method in class org.tensorflow.op.Ops: Returns the shape of a tensor.
Shape - Class in org.tensorflow.op.core: Returns the shape of a tensor.
Shape - Static variable in class org.tensorflow.generator.op.Names
Shape(Operation) - Constructor for class org.tensorflow.op.core.Shape
SHAPE - Enum constant in enum org.tensorflow.proto.AttrValue.ValueCase
SHAPE - Enum constant in enum org.tensorflow.proto.TensorDebugMode: Provides full runtime shape information, up to a maximum rank, beyond which the dimension sizes are truncated.
SHAPE_AND_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue.ListValue
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BundleEntryProto
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.eager.ResourceDtypeAndShape
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FixedLenFeatureProto
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferConstNodeInfo
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedSliceMeta
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.TensorSpecProto
SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorDescription
SHAPE_OPTIMIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
SHAPE_VALUE - Static variable in enum org.tensorflow.proto.TensorDebugMode: Provides full runtime shape information, up to a maximum rank, beyond which the dimension sizes are truncated.
Shape.Inputs - Class in org.tensorflow.op.core
shapeAndSlice - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: Scalar.
shapeAndSlices - Variable in class org.tensorflow.op.tpu.DTensorRestore.Inputs: The shapeAndSlices input
shapeAndSlices - Variable in class org.tensorflow.op.train.Restore.Inputs: shape {N}.
shapeAndSlices - Variable in class org.tensorflow.op.train.Save.Inputs: shape {N}.
shapeDtype - Variable in class org.tensorflow.op.random.NonDeterministicInts.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The shapeDtype attribute
shapeN(Iterable) - Method in class org.tensorflow.op.Ops: Returns shape of tensors.
shapeN(Iterable, Class) - Method in class org.tensorflow.op.Ops: Returns shape of tensors.
ShapeN - Class in org.tensorflow.op.core: Returns shape of tensors.
ShapeN(Operation) - Constructor for class org.tensorflow.op.core.ShapeN
ShapeN.Inputs - Class in org.tensorflow.op.core
ShapeOps - Class in org.tensorflow.op: An API for building shape operations as Ops
shapes - Variable in class org.tensorflow.op.core.Barrier.Inputs: The shape of each component in a value.
shapes - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: The shape of each component in a value.
shapes - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: The shape of each component in a value.
shapes - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: The shape of each component in a value.
shapes - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: The shape of each component in a value.
shapes - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: 1-D.
shapes - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: 1-D.
shapes - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: 1-D.
shapes - Variable in class org.tensorflow.op.tpu.InfeedDequeueTuple.Inputs: The shapes of each tensor in outputs.
shapes - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: The shapes of each tensor in inputs.
shapes - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTuple.Inputs: The shapes of each tensor in outputs.
shapes - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2.Inputs: The shapes of each tensor in outputs.
shapes - Variable in class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs: The shapes of each tensor in inputs.
shapes - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: If shape_inference_graph is empty, a list of the shapes of outputs.
shapes(List) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the shapes option.
shapes(List) - Static method in class org.tensorflow.op.core.Barrier: Sets the shapes option.
shapes(List) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the shapes option.
shapes(List) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the shapes option.
shapes(List) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the shapes option.
shapes(List) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the shapes option.
shapes(List) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the shapes option.
shapes(List) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the shapes option.
shapes(Shape...) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the shapes option.
shapes(Shape...) - Static method in class org.tensorflow.op.core.Barrier: Sets the shapes option.
shapes(Shape...) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the shapes option.
shapes(Shape...) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the shapes option.
shapes(Shape...) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the shapes option.
shapes(Shape...) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the shapes option.
shapes(Shape...) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the shapes option.
shapes(Shape...) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the shapes option.
Shapes - Class in org.tensorflow.op.core: An operator providing methods on org.tensorflow.op.core.Shape tensors and 1d operands that represent the dimensions of a shape.
Shapes() - Constructor for class org.tensorflow.op.core.Shapes
SHAPES_OUTPUT_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VarLenFeatureProto
shapesAndSlices - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: Shape [N].
shapeToPrepend - Variable in class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs: An int32 vector representing a shape.
shapeType - Variable in class org.tensorflow.op.core.ConcatOffset.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.EmptyTensorList.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListElementShape.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListFromTensor.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListReserve.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The shapeType attribute
ShapeUtils - Class in org.tensorflow.framework.utils: Various methods for processing with Shapes and Operands
ShapeUtils() - Constructor for class org.tensorflow.framework.utils.ShapeUtils
shard - Variable in class org.tensorflow.op.io.ShardedFilename.Inputs: The shard input
shard - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: A sampler can be used to sample from a subset of the original range in order to speed up the whole computation through parallelism.
shard(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the shard option.
shard(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the shard option.
SHARD_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BundleEntryProto
shardDataset(Operand, Operand, Operand, List, List, ShardDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a Dataset that includes only 1/num_shards of this dataset.
ShardDataset - Class in org.tensorflow.op.data: Creates a Dataset that includes only 1/num_shards of this dataset.
ShardDataset(Operation) - Constructor for class org.tensorflow.op.data.ShardDataset
ShardDataset.Inputs - Class in org.tensorflow.op.data
ShardDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ShardDataset
shardDir - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The shardDir input
SHARDED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SaverDef
shardedFilename(Operand, Operand, Operand) - Method in class org.tensorflow.op.IoOps: Generate a sharded filename.
ShardedFilename - Class in org.tensorflow.op.io: Generate a sharded filename.
ShardedFilename(Operation) - Constructor for class org.tensorflow.op.io.ShardedFilename
ShardedFilename.Inputs - Class in org.tensorflow.op.io
shardedFilespec(Operand, Operand) - Method in class org.tensorflow.op.IoOps: Generate a glob pattern matching all sharded file names.
ShardedFilespec - Class in org.tensorflow.op.io: Generate a glob pattern matching all sharded file names.
ShardedFilespec(Operation) - Constructor for class org.tensorflow.op.io.ShardedFilespec
ShardedFilespec.Inputs - Class in org.tensorflow.op.io
shardFuncOtherArgs - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The shardFuncOtherArgs input
shardFuncOtherArgs - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The shardFuncOtherArgs input
shardId - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: Identifier of shard for this operation.
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters.Inputs: Identifier of shard for this operation.
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The shardId attribute
SHARDING_POLICY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DataService.ProcessingModeDef
shardNum - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: Integer representing which shard to fetch data for.
SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
SHARE_SESSION_STATE_IN_CLUSTERSPEC_PROPAGATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
SHARED_MEMORY_SIZE_PER_MULTIPROCESSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
sharedName - Variable in class org.tensorflow.framework.optimizers.Optimizer.Options
sharedName - Variable in class org.tensorflow.op.core.Barrier.Inputs: If non-empty, this barrier will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.core.Batch.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Concurrently running instances of batch in the same device with the same container and shared_name will batch their elements together.
sharedName - Variable in class org.tensorflow.op.core.HashTable.Inputs: If non-empty, this table is shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.core.MapClear.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.MapSize.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.MapStage.Inputs: It is necessary to match this name to the matching Unstage Op.
sharedName - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: If non-empty, this table is shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: If non-empty, this table is shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: If non-empty, this table is shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.core.Mutex.Inputs: If non-empty, this variable is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: It is necessary to match this name to the matching Unstage Op.
sharedName - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.Stage.Inputs: It is necessary to match this name to the matching Unstage Op.
sharedName - Variable in class org.tensorflow.op.core.StageClear.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.StageSize.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.Unstage.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: the name by which this variable is referred to.
sharedName - Variable in class org.tensorflow.op.core.Variable.Inputs: If non-empty, this variable is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.data.Iterator.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: If non-empty, this resource will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.data.OneShotIterator.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.data.StatsAggregatorHandle.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: If non-empty, this queue will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.io.IdentityReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.io.LmdbReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: If non-empty, this queue will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: If non-empty, this queue will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: If non-empty, this queue will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.io.TextLineReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.io.TfRecordReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.io.WholeFileReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: The shared name for the SparseTensorsMap created by this op.
sharedName - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: The shared name for the SparseTensorsMap created by this op.
sharedName - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: If non-empty, this accumulator will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs: The shared name for the SparseTensorsMap read by this op.
sharedName - Variable in class org.tensorflow.op.summary.SummaryWriter.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: If non-empty, this accumulator will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: If non-empty, this accumulator will be shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.framework.optimizers.Optimizer.Options: Sets the shared name
sharedName(String) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Barrier: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.Batch.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Batch: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.HashTable.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.HashTable: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapClear.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapClear: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapPeek.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapPeek: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapSize: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapStage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapStage: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapUnstage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapUnstage: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MutableHashTable.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MutableHashTable: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.Mutex.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Mutex: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapClear.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapClear: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapSize: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapStage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapStage: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.Stage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Stage: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.StageClear.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.StageClear: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.StagePeek.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.StagePeek: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.StageSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.StageSize: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.Unbatch.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Unbatch: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.UnbatchGrad.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.UnbatchGrad: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.Unstage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Unstage: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.Variable.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Variable: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.data.OneShotIterator.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.OneShotIterator: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.data.StatsAggregatorHandle.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.StatsAggregatorHandle: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.data.ThreadPoolHandle.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.ThreadPoolHandle: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.IdentityReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.IdentityReader: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.LmdbReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.LmdbReader: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.PriorityQueue.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.PriorityQueue: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.TextLineReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.TextLineReader: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.TfRecordReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.TfRecordReader: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.WholeFileReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.WholeFileReader: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.sparse.AddSparseToTensorsMap: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.summary.SummaryWriter.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.summary.SummaryWriter: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.train.ConditionalAccumulator.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.train.ConditionalAccumulator: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Sets the sharedName option.
shift - Variable in class org.tensorflow.op.core.Roll.Inputs: Dimension must be 0-D or 1-D.
shift - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: An integer scalar, representing the number of input elements by which the window moves in each iteration.
shortest - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: Use shortest representation (either scientific or standard) for floating point numbers.
shortest(Boolean) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the shortest option.
shortest(Boolean) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the shortest option.
shrinkAxisMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The shrinkAxisMask attribute
shrinkAxisMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: a bitmask where bit i implies that the ith specification should shrink the dimensionality. begin and end must imply a slice of size 1 in the dimension.
shrinkAxisMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The shrinkAxisMask attribute
shrinkAxisMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The shrinkAxisMask attribute
shrinkAxisMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The shrinkAxisMask attribute
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the shrinkAxisMask option.
SHUFFLE_AND_REPEAT_FUSION - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalShuffleAndRepeatFusionCase
SHUFFLE_AND_REPEAT_FUSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
shuffleAndRepeatDataset(Operand, Operand, Operand, Operand, Operand, Operand, List, List, ShuffleAndRepeatDataset.Options...) - Method in class org.tensorflow.op.DataOps: The ShuffleAndRepeatDatasetV2 operation
ShuffleAndRepeatDataset - Class in org.tensorflow.op.data: The ShuffleAndRepeatDatasetV2 operation
ShuffleAndRepeatDataset(Operation) - Constructor for class org.tensorflow.op.data.ShuffleAndRepeatDataset
ShuffleAndRepeatDataset.Inputs - Class in org.tensorflow.op.data
ShuffleAndRepeatDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ShuffleAndRepeatDataset
shuffleDataset(Operand, Operand, Operand, Operand, Operand, List, List, ShuffleDataset.Options...) - Method in class org.tensorflow.op.DataOps: The ShuffleDatasetV3 operation
ShuffleDataset - Class in org.tensorflow.op.data: The ShuffleDatasetV3 operation
ShuffleDataset(Operation) - Constructor for class org.tensorflow.op.data.ShuffleDataset
ShuffleDataset.Inputs - Class in org.tensorflow.op.data
ShuffleDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ShuffleDataset
SHUTDOWN_AFTER_TIMEOUT - Enum constant in enum org.tensorflow.proto.WorkerShutdownMode: SHUTDOWN_AFTER_TIMEOUT = 3;
SHUTDOWN_AFTER_TIMEOUT_VALUE - Static variable in enum org.tensorflow.proto.WorkerShutdownMode: SHUTDOWN_AFTER_TIMEOUT = 3;
SHUTDOWN_BARRIER_TIMEOUT_IN_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
SHUTDOWN_MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WorkerHeartbeatRequest
SHUTDOWN_QUIET_PERIOD_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
shutdownDistributedTPU() - Method in class org.tensorflow.op.TpuOps: Shuts down a running distributed TPU system.
ShutdownDistributedTPU - Class in org.tensorflow.op.tpu: Shuts down a running distributed TPU system.
ShutdownDistributedTPU(Operation) - Constructor for class org.tensorflow.op.tpu.ShutdownDistributedTPU
ShutdownDistributedTPU.Inputs - Class in org.tensorflow.op.tpu
shutdownTPUSystem() - Method in class org.tensorflow.op.TpuOps: An op that shuts down the TPU system.
ShutdownTPUSystem - Class in org.tensorflow.op.tpu: An op that shuts down the TPU system.
ShutdownTPUSystem(Operation) - Constructor for class org.tensorflow.op.tpu.ShutdownTPUSystem
ShutdownTPUSystem.Inputs - Class in org.tensorflow.op.tpu
SHUTTING_DOWN - Enum constant in enum org.tensorflow.proto.WorkerHealth: Worker has been instructed to shutdown after a timeout.
SHUTTING_DOWN_VALUE - Static variable in enum org.tensorflow.proto.WorkerHealth: Worker has been instructed to shutdown after a timeout.
SIGMA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
SIGMA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
sigmoid(Ops, Operand) - Static method in class org.tensorflow.framework.activations.Sigmoid: Applies the Sigmoid activation function, sigmoid(x) = 1 / (1 + exp(-x)).
sigmoid(Operand) - Method in class org.tensorflow.op.MathOps: Computes sigmoid of x element-wise.
Sigmoid - Class in org.tensorflow.framework.activations: Sigmoid activation.
Sigmoid<T> - Class in org.tensorflow.op.math: Computes sigmoid of x element-wise.
Sigmoid() - Constructor for class org.tensorflow.framework.activations.Sigmoid: Creates a Sigmoid activation.
Sigmoid(Map) - Constructor for class org.tensorflow.framework.activations.Sigmoid: Creates a new Exponential from a configuration Map
Sigmoid(Operation) - Constructor for class org.tensorflow.op.math.Sigmoid
SIGMOID - Enum constant in enum org.tensorflow.framework.activations.Activations
Sigmoid.Inputs<T> - Class in org.tensorflow.op.math
sigmoidCrossEntropyWithLogits(Scope, Operand, Operand) - Static method in class org.tensorflow.framework.op.nn.SigmoidCrossEntropyWithLogits: Computes sigmoid cross entropy given logits.
sigmoidCrossEntropyWithLogits(Operand, Operand) - Method in class org.tensorflow.framework.op.NnOps: Computes sigmoid cross entropy given logits.
SigmoidCrossEntropyWithLogits - Class in org.tensorflow.framework.op.nn
SigmoidCrossEntropyWithLogits() - Constructor for class org.tensorflow.framework.op.nn.SigmoidCrossEntropyWithLogits
sigmoidGrad(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the gradient of the sigmoid of x wrt its input.
SigmoidGrad<T> - Class in org.tensorflow.op.math: Computes the gradient of the sigmoid of x wrt its input.
SigmoidGrad(Operation) - Constructor for class org.tensorflow.op.math.SigmoidGrad
SigmoidGrad.Inputs<T> - Class in org.tensorflow.op.math
sign() - Method in class org.tensorflow.op.linalg.LogMatrixDeterminant: Gets sign.
sign(Operand) - Method in class org.tensorflow.op.MathOps: Returns an element-wise indication of the sign of a number.
Sign<T> - Class in org.tensorflow.op.math: Returns an element-wise indication of the sign of a number.
Sign(Operation) - Constructor for class org.tensorflow.op.math.Sign
Sign.Inputs<T> - Class in org.tensorflow.op.math
signal - Variable in class org.tensorflow.op.Ops
SignalOps - Class in org.tensorflow.op: An API for building signal operations as Ops
signature() - Method in class org.tensorflow.ConcreteFunction: Returns the signature of this function
signature() - Method in class org.tensorflow.SessionFunction
signature() - Method in interface org.tensorflow.TensorFunction: Returns the signature of this function
Signature - Class in org.tensorflow: Describe the inputs and outputs of an executable entity, such as a ConcreteFunction, among other useful metadata.
SIGNATURE_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef
SIGNATURE_DEF_HASH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FingerprintDef
SIGNATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FunctionDef
Signature.Builder - Class in org.tensorflow: Builds a new function signature.
Signature.TensorDescription - Class in org.tensorflow
SignatureDef - Class in org.tensorflow.proto: SignatureDef defines the signature of a computation supported by a TensorFlow graph.
SignatureDef.Builder - Class in org.tensorflow.proto: SignatureDef defines the signature of a computation supported by a TensorFlow graph.
SignatureDefOrBuilder - Interface in org.tensorflow.proto
signatures() - Method in class org.tensorflow.SavedModelBundle: Return the signature of all functions available in this saved model.
signDecay - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Must be a scalar.
signDecay - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Must be a scalar.
signDecay - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Must be a scalar.
signDecay - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Must be a scalar.
signedInput - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The signedInput attribute
signedInput - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The signedInput attribute
signedInput - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: Whether the quantization is signed or unsigned.
signedInput(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options: Sets the signedInput option.
signedInput(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Sets the signedInput option.
signedInput(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Options: Sets the signedInput option.
signedInput(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Sets the signedInput option.
signedInput(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the signedInput option.
signedInput(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the signedInput option.
SILENT - Enum constant in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Silently copy the tensor, which has a performance cost since the operation will be blocked till the copy completes.
SILENT_FOR_INT32 - Enum constant in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Placement policy which silently copies int32 tensors but not other dtypes.
SIMPLE_VALUE - Enum constant in enum org.tensorflow.proto.Summary.Value.ValueCase
SIMPLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Value
sin(Operand) - Method in class org.tensorflow.op.MathOps: Computes sine of x element-wise.
Sin<T> - Class in org.tensorflow.op.math: Computes sine of x element-wise.
Sin(Operation) - Constructor for class org.tensorflow.op.math.Sin
Sin.Inputs<T> - Class in org.tensorflow.op.math
sinh(Operand) - Method in class org.tensorflow.op.MathOps: Computes hyperbolic sine of x element-wise.
Sinh<T> - Class in org.tensorflow.op.math: Computes hyperbolic sine of x element-wise.
Sinh(Operation) - Constructor for class org.tensorflow.op.math.Sinh
Sinh.Inputs<T> - Class in org.tensorflow.op.math
size() - Method in class org.tensorflow.internal.c_api.TF_TString_Large
size() - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
size() - Method in class org.tensorflow.internal.c_api.TF_TString_Small
size() - Method in class org.tensorflow.internal.c_api.TF_TString_View
size() - Method in class org.tensorflow.Result: Returns the number of outputs in this Result.
size(byte) - Method in class org.tensorflow.internal.c_api.TF_TString_Small
size(int) - Method in class org.tensorflow.internal.c_api.TF_TString_Offset
size(long) - Method in class org.tensorflow.internal.c_api.TF_TString_Large
size(long) - Method in class org.tensorflow.internal.c_api.TF_TString_View
size(Shape) - Method in class org.tensorflow.op.ShapeOps: Get the size represented by the TensorFlow shape.
size(Shape, Operand) - Method in class org.tensorflow.op.ShapeOps: Get the size of the specified dimension in the shape.
size(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Get the size represented by the TensorFlow shape.
size(Shape, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Get the size of the specified dimension in the shape.
size(Scope, Shape) - Static method in class org.tensorflow.op.core.Shapes: Get the size represented by the TensorFlow shape.
size(Scope, Shape, Operand) - Static method in class org.tensorflow.op.core.Shapes: Get the size of the specified dimension in the shape.
size(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Get the size represented by the TensorFlow shape.
size(Scope, Shape, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Get the size of the specified dimension in the shape.
size(Scope, Operand, Operand) - Static method in class org.tensorflow.op.core.Shapes: Get the size of the specified dimension for the shape of the tensor.
size(Scope, Operand, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Get the size of the specified dimension for the shape of the tensor.
size(Operand) - Method in class org.tensorflow.op.Ops: Returns the size of a tensor.
size(Operand, Class) - Method in class org.tensorflow.op.Ops: Returns the size of a tensor.
size(Operand, Operand) - Method in class org.tensorflow.op.ShapeOps: Get the size of the specified dimension for the shape of the tensor.
size(Operand, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Get the size of the specified dimension for the shape of the tensor.
Size - Class in org.tensorflow.op.core: Returns the size of a tensor.
Size(Operation) - Constructor for class org.tensorflow.op.core.Size
SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemChunk
SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.SnapShot
SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BundleEntryProto
SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorShapeProto.Dim
Size.Inputs - Class in org.tensorflow.op.core
sizeOutput - Variable in class org.tensorflow.op.core.Slice.Inputs: size[i] specifies the number of elements of the 'i'th dimension of 'input' to slice.
sizeOutput - Variable in class org.tensorflow.op.core.TensorArray.Inputs: The size of the array.
sizeOutput - Variable in class org.tensorflow.op.core.TensorListResize.Inputs: The sizeOutput input
sizeOutput - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: An integer scalar, representing the number of elements of the input dataset to combine into a window.
sizeOutput - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: A 1-D tensor of 2 elements containing the size of the glimpses to extract.
sizeOutput - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: 1-D of length 2 containing: crop_height, crop_width..
sizeOutput - Variable in class org.tensorflow.op.image.ResizeArea.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: = A 1-D int32 Tensor of 2 elements: orig_height, orig_width.
sizeOutput - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The sizeOutput input
sizeOutput - Variable in class org.tensorflow.op.math.Bincount.Inputs: non-negative int32 scalar Tensor.
sizeOutput - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: non-negative int scalar Tensor.
sizeOutput - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: non-negative int scalar Tensor.
sizeOutput - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: non-negative int scalar Tensor.
sizeOutput - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 1-D. tensor represents the size of the slice. output indices: A list of 1-D tensors represents the indices of the output sparse tensors.
sizeOutput() - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Gets sizeOutput. 1-D, containing [target_height, target_width, -1].
sizeOutput() - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Gets sizeOutput. 1-D, containing [target_height, target_width, -1].
sizes - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: Tensor of int32 with shape [batch_shape, len(field_names)].
sizes() - Method in class org.tensorflow.op.core.DecodeProto: Gets sizes.
sizeSplits - Variable in class org.tensorflow.op.core.SplitV.Inputs: list containing the sizes of each output tensor along the split dimension.
skip - Variable in class org.tensorflow.op.math.SobolSample.Inputs: Positive scalar Tensor of dtype int32.
skip(long) - Method in class org.tensorflow.framework.data.Dataset: Returns a new `Dataset` which skips `count` initial elements from this dataset
SKIP - Enum constant in enum org.tensorflow.proto.ApiDef.Visibility: Do not include this op in the generated API.
SKIP_VALUE - Static variable in enum org.tensorflow.proto.ApiDef.Visibility: Do not include this op in the generated API.
skipDataset(Operand, Operand, List, List, SkipDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that skips count elements from the input_dataset.
SkipDataset - Class in org.tensorflow.op.data: Creates a dataset that skips count elements from the input_dataset.
SkipDataset(Operation) - Constructor for class org.tensorflow.op.data.SkipDataset
SkipDataset.Inputs - Class in org.tensorflow.op.data
SkipDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SkipDataset
skipgram(String, Long, Skipgram.Options...) - Method in class org.tensorflow.op.Ops: Parses a text file and creates a batch of examples.
Skipgram - Class in org.tensorflow.op.core: Parses a text file and creates a batch of examples.
Skipgram(Operation) - Constructor for class org.tensorflow.op.core.Skipgram
Skipgram.Inputs - Class in org.tensorflow.op.core
Skipgram.Options - Class in org.tensorflow.op.core: Optional attributes for Skipgram
skipHeaderLines - Variable in class org.tensorflow.op.io.TextLineReader.Inputs: Number of lines to skip from the beginning of every file.
skipHeaderLines(Long) - Method in class org.tensorflow.op.io.TextLineReader.Options: Sets the skipHeaderLines option.
skipHeaderLines(Long) - Static method in class org.tensorflow.op.io.TextLineReader: Sets the skipHeaderLines option.
SLACK - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSlackCase
SLACK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.Options
slackPeriod - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The slackPeriod attribute
slackPeriod(Long) - Method in class org.tensorflow.op.data.PrefetchDataset.Options: Sets the slackPeriod option.
slackPeriod(Long) - Static method in class org.tensorflow.op.data.PrefetchDataset: Sets the slackPeriod option.
sleepDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalSleepDataset operation
sleepDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: The SleepDataset operation
SleepDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalSleepDataset operation
SleepDataset - Class in org.tensorflow.op.data: The SleepDataset operation
SleepDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.SleepDataset
SleepDataset(Operation) - Constructor for class org.tensorflow.op.data.SleepDataset
SleepDataset.Inputs - Class in org.tensorflow.op.data.experimental
SleepDataset.Inputs - Class in org.tensorflow.op.data
sleepMicroseconds - Variable in class org.tensorflow.op.data.experimental.SleepDataset.Inputs: The sleepMicroseconds input
sleepMicroseconds - Variable in class org.tensorflow.op.data.SleepDataset.Inputs: The sleepMicroseconds input
slice(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Return a slice from 'input'.
Slice<T> - Class in org.tensorflow.op.core: Return a slice from 'input'.
Slice(Operation) - Constructor for class org.tensorflow.op.core.Slice
SLICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedSlice
SLICE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedSliceMeta
Slice.Inputs<T,U> - Class in org.tensorflow.op.core
slicedActivations - Variable in class org.tensorflow.op.tpu.EmbeddingActivations.Inputs: The embedding activations Tensor to return.
slicedActivations - Variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.

The embedding activations Tensor to return.
SLICES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BundleEntryProto
slidingWindowDataset(Operand, Operand, Operand, Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that passes a sliding window over input_dataset.
slidingWindowDataset(Operand, Operand, Operand, Operand, List, List, SlidingWindowDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that passes a sliding window over input_dataset.
SlidingWindowDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that passes a sliding window over input_dataset.
SlidingWindowDataset - Class in org.tensorflow.op.data: Creates a dataset that passes a sliding window over input_dataset.
SlidingWindowDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.SlidingWindowDataset
SlidingWindowDataset(Operation) - Constructor for class org.tensorflow.op.data.SlidingWindowDataset
SlidingWindowDataset.Inputs - Class in org.tensorflow.op.data.experimental
SlidingWindowDataset.Inputs - Class in org.tensorflow.op.data
SlidingWindowDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SlidingWindowDataset
sloppy - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The sloppy input
sloppy - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The sloppy attribute
sloppy(Boolean) - Method in class org.tensorflow.op.data.experimental.ParseExampleDataset.Options: Sets the sloppy option.
sloppy(Boolean) - Static method in class org.tensorflow.op.data.experimental.ParseExampleDataset: Sets the sloppy option.
SLOT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeOutput
SLOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
SLOT_VARIABLE_NODE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
SLOT_VARIABLES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
SLOT_VARIABLES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
SNAP_SHOT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
snapshot(Operand) - Method in class org.tensorflow.op.Ops: Returns a copy of the input tensor.
Snapshot<T> - Class in org.tensorflow.op.core: Returns a copy of the input tensor.
Snapshot - Class in org.tensorflow.proto.data.experimental
Snapshot(Operation) - Constructor for class org.tensorflow.op.core.Snapshot
SNAPSHOT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CommitId
SNAPSHOT_MAX_CHUNK_SIZE_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
SNAPSHOT_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VariableDef
Snapshot.DistributedSnapshotMetadata - Class in org.tensorflow.proto.data.experimental: Metadata for a `tf.data.Dataset` distributed snapshot.
Snapshot.DistributedSnapshotMetadata.Builder - Class in org.tensorflow.proto.data.experimental: Metadata for a `tf.data.Dataset` distributed snapshot.
Snapshot.DistributedSnapshotMetadataOrBuilder - Interface in org.tensorflow.proto.data.experimental
Snapshot.Inputs<T> - Class in org.tensorflow.op.core
Snapshot.SnapshotMetadataRecord - Class in org.tensorflow.proto.data.experimental: This stores the metadata information present in each snapshot record.
Snapshot.SnapshotMetadataRecord.Builder - Class in org.tensorflow.proto.data.experimental: This stores the metadata information present in each snapshot record.
Snapshot.SnapshotMetadataRecordOrBuilder - Interface in org.tensorflow.proto.data.experimental
Snapshot.SnapshotRecord - Class in org.tensorflow.proto.data.experimental: Each SnapshotRecord represents one batch of pre-processed input data.
Snapshot.SnapshotRecord.Builder - Class in org.tensorflow.proto.data.experimental: Each SnapshotRecord represents one batch of pre-processed input data.
Snapshot.SnapshotRecordOrBuilder - Interface in org.tensorflow.proto.data.experimental
Snapshot.SnapshotTensorMetadata - Class in org.tensorflow.proto.data.experimental: Metadata for all the tensors in a Snapshot Record.
Snapshot.SnapshotTensorMetadata.Builder - Class in org.tensorflow.proto.data.experimental: Metadata for all the tensors in a Snapshot Record.
Snapshot.SnapshotTensorMetadataOrBuilder - Interface in org.tensorflow.proto.data.experimental
Snapshot.TensorMetadata - Class in org.tensorflow.proto.data.experimental: Metadata for a single tensor in the Snapshot Record.
Snapshot.TensorMetadata.Builder - Class in org.tensorflow.proto.data.experimental: Metadata for a single tensor in the Snapshot Record.
Snapshot.TensorMetadataOrBuilder - Interface in org.tensorflow.proto.data.experimental
snapshotChunkDataset(Operand, List, List, SnapshotChunkDataset.Options...) - Method in class org.tensorflow.op.DataOps: The SnapshotChunkDataset operation
SnapshotChunkDataset - Class in org.tensorflow.op.data: The SnapshotChunkDataset operation
SnapshotChunkDataset(Operation) - Constructor for class org.tensorflow.op.data.SnapshotChunkDataset
SnapshotChunkDataset.Inputs - Class in org.tensorflow.op.data
SnapshotChunkDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SnapshotChunkDataset
snapshotDataset(Operand, Operand, Iterable, Iterable, List, List, ConcreteFunction, ConcreteFunction, SnapshotDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that will write to / read from a snapshot.
SnapshotDataset - Class in org.tensorflow.op.data: Creates a dataset that will write to / read from a snapshot.
SnapshotDataset(Operation) - Constructor for class org.tensorflow.op.data.SnapshotDataset
SnapshotDataset.Inputs - Class in org.tensorflow.op.data
SnapshotDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SnapshotDataset
snapshotDatasetReader(Operand, Operand, List, List, Long, SnapshotDatasetReader.Options...) - Method in class org.tensorflow.op.DataOps: The SnapshotDatasetReader operation
SnapshotDatasetReader - Class in org.tensorflow.op.data: The SnapshotDatasetReader operation
SnapshotDatasetReader(Operation) - Constructor for class org.tensorflow.op.data.SnapshotDatasetReader
SnapshotDatasetReader.Inputs - Class in org.tensorflow.op.data
SnapshotDatasetReader.Options - Class in org.tensorflow.op.data: Optional attributes for SnapshotDatasetReader
snapshotNestedDatasetReader(Iterable, List, List) - Method in class org.tensorflow.op.DataOps: The SnapshotNestedDatasetReader operation
SnapshotNestedDatasetReader - Class in org.tensorflow.op.data: The SnapshotNestedDatasetReader operation
SnapshotNestedDatasetReader(Operation) - Constructor for class org.tensorflow.op.data.SnapshotNestedDatasetReader
SnapshotNestedDatasetReader.Inputs - Class in org.tensorflow.op.data
snapshotPath - Variable in class org.tensorflow.op.data.ListSnapshotChunksDataset.Inputs: The snapshotPath input
sobolSample(Operand, Operand, Operand) - Method in class org.tensorflow.op.MathOps: Generates points from the Sobol sequence.
sobolSample(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.MathOps: Generates points from the Sobol sequence.
SobolSample<T> - Class in org.tensorflow.op.math: Generates points from the Sobol sequence.
SobolSample(Operation) - Constructor for class org.tensorflow.op.math.SobolSample
SobolSample.Inputs - Class in org.tensorflow.op.math
SOC_OP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeInfo
softmax - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad.Inputs: A CSRSparseMatrix.
softmax() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax: Gets softmax.
softmax() - Method in class org.tensorflow.op.nn.Softmax: Gets softmax.
softmax(Ops, Operand) - Static method in class org.tensorflow.framework.activations.Softmax: Converts a vector of values to a probability distribution along the last axis.
softmax(Ops, Operand, Operand) - Static method in class org.tensorflow.framework.activations.Softmax: Converts a vector of values to a probability distribution.
softmax(Operand) - Method in class org.tensorflow.op.NnOps: Computes softmax activations.
Softmax - Class in org.tensorflow.framework.activations: Softmax converts a real vector to a vector of categorical probabilities.
Softmax<T> - Class in org.tensorflow.op.nn: Computes softmax activations.
Softmax() - Constructor for class org.tensorflow.framework.activations.Softmax: Creates a softmax activation where the default axis is Softmax.AXIS_DEFAULT which indicates the last dimension.
Softmax(int) - Constructor for class org.tensorflow.framework.activations.Softmax: Creates a Softmax activation
Softmax(Map) - Constructor for class org.tensorflow.framework.activations.Softmax: Creates a Softmax activation from a config map.
Softmax(Operation) - Constructor for class org.tensorflow.op.nn.Softmax
SOFTMAX - Enum constant in enum org.tensorflow.framework.activations.Activations
Softmax.Inputs<T> - Class in org.tensorflow.op.nn
softmaxCrossEntropyWithLogits(Scope, Operand, Operand, int) - Static method in class org.tensorflow.framework.op.nn.SoftmaxCrossEntropyWithLogits: Computes softmax cross entropy between logits and labels.
softmaxCrossEntropyWithLogits(Operand, Operand) - Method in class org.tensorflow.op.NnOps: Computes softmax cross entropy cost and gradients to backpropagate.
softmaxCrossEntropyWithLogits(Operand, Operand, int) - Method in class org.tensorflow.framework.op.NnOps: Computes softmax cross entropy between logits and labels.
SoftmaxCrossEntropyWithLogits - Class in org.tensorflow.framework.op.nn
SoftmaxCrossEntropyWithLogits<T> - Class in org.tensorflow.op.nn: Computes softmax cross entropy cost and gradients to backpropagate.
SoftmaxCrossEntropyWithLogits() - Constructor for class org.tensorflow.framework.op.nn.SoftmaxCrossEntropyWithLogits
SoftmaxCrossEntropyWithLogits(Operation) - Constructor for class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits
SoftmaxCrossEntropyWithLogits.Inputs<T> - Class in org.tensorflow.op.nn
softNmsSigma - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 0-D float tensor representing the sigma parameter for Soft NMS; see Bodla et al (c.f. https://arxiv.org/abs/1704.04503).
softplus(Ops, Operand) - Static method in class org.tensorflow.framework.activations.Softplus: Applies the Softplus activation function, softplus(x) = log(exp(x) + 1).
softplus(Operand) - Method in class org.tensorflow.op.MathOps: The Softplus operation
Softplus - Class in org.tensorflow.framework.activations: Softplus activation function, softplus(x) = log(exp(x) + 1).
Softplus<T> - Class in org.tensorflow.op.math: The Softplus operation
Softplus() - Constructor for class org.tensorflow.framework.activations.Softplus: Creates a Softplus activation function.
Softplus(Map) - Constructor for class org.tensorflow.framework.activations.Softplus: Creates a new Softplus from a configuration Map
Softplus(Operation) - Constructor for class org.tensorflow.op.math.Softplus
SOFTPLUS - Enum constant in enum org.tensorflow.framework.activations.Activations
Softplus.Inputs<T> - Class in org.tensorflow.op.math
softplusGrad(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes softplus gradients for a softplus operation.
SoftplusGrad<T> - Class in org.tensorflow.op.math: Computes softplus gradients for a softplus operation.
SoftplusGrad(Operation) - Constructor for class org.tensorflow.op.math.SoftplusGrad
SoftplusGrad.Inputs<T> - Class in org.tensorflow.op.math
softsign(Ops, Operand) - Static method in class org.tensorflow.framework.activations.Softsign: Applies the Softsign activation function, softsign(x) = x / (abs(x) + 1).
softsign(Operand) - Method in class org.tensorflow.op.NnOps: Computes softsign: features / (abs(features) + 1).
Softsign - Class in org.tensorflow.framework.activations: Softsign activation function, softsign(x) = x / (abs(x) + 1).
Softsign<T> - Class in org.tensorflow.op.nn: Computes softsign: features / (abs(features) + 1).
Softsign() - Constructor for class org.tensorflow.framework.activations.Softsign: Creates a Softsign activation.
Softsign(Map) - Constructor for class org.tensorflow.framework.activations.Softsign: Creates a new Softsign from a configuration Map
Softsign(Operation) - Constructor for class org.tensorflow.op.nn.Softsign
SOFTSIGN - Enum constant in enum org.tensorflow.framework.activations.Activations
Softsign.Inputs<T> - Class in org.tensorflow.op.nn
softsignGrad(Operand, Operand) - Method in class org.tensorflow.op.NnOps: Computes softsign gradients for a softsign operation.
SoftsignGrad<T> - Class in org.tensorflow.op.nn: Computes softsign gradients for a softsign operation.
SoftsignGrad(Operation) - Constructor for class org.tensorflow.op.nn.SoftsignGrad
SoftsignGrad.Inputs<T> - Class in org.tensorflow.op.nn
SOFTWARE_TRACE - Enum constant in enum org.tensorflow.proto.RunOptions.TraceLevel: SOFTWARE_TRACE = 1;
SOFTWARE_TRACE_VALUE - Static variable in enum org.tensorflow.proto.RunOptions.TraceLevel: SOFTWARE_TRACE = 1;
solve(Operand, Operand, Solve.Options...) - Method in class org.tensorflow.op.LinalgOps: Solves systems of linear equations.
Solve<T> - Class in org.tensorflow.op.linalg: Solves systems of linear equations.
Solve(Operation) - Constructor for class org.tensorflow.op.linalg.Solve
Solve.Inputs<T> - Class in org.tensorflow.op.linalg
Solve.Options - Class in org.tensorflow.op.linalg: Optional attributes for Solve
sorted - Variable in class org.tensorflow.op.nn.TopK.Inputs: If true the resulting k elements will be sorted by the values in descending order.
sorted(Boolean) - Method in class org.tensorflow.op.nn.TopK.Options: Sets the sorted option.
sorted(Boolean) - Static method in class org.tensorflow.op.nn.TopK: Sets the sorted option.
sortedColIds() - Method in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors: Gets sortedColIds.
sortedColIds() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets sortedColIds.
sortedColIdsList - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The sortedColIdsList input
sortedEmbeddingIds() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmul: Gets sortedEmbeddingIds.
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The sortedGains input
sortedGains() - Method in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor: Gets sortedGains.
sortedGains() - Method in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors: Gets sortedGains.
sortedGains() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets sortedGains.
sortedGains() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets sortedGains.
sortedGains() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmul: Gets sortedGains.
sortedGainsList - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The sortedGainsList input
sortedInputs - Variable in class org.tensorflow.op.core.LowerBound.Inputs: 2-D Tensor where each row is ordered.
sortedInputs - Variable in class org.tensorflow.op.core.UpperBound.Inputs: 2-D Tensor where each row is ordered.
sortedRowIds() - Method in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors: Gets sortedRowIds.
sortedRowIds() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets sortedRowIds.
sortedRowIdsList - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The sortedRowIdsList input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The sortedSampleIds input
sortedSampleIds() - Method in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor: Gets sortedSampleIds.
sortedSampleIds() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets sortedSampleIds.
sortedSampleIds() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmul: Gets sortedSampleIds.
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The sortedTokenIds input
sortedTokenIds() - Method in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor: Gets sortedTokenIds.
sortedTokenIds() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets sortedTokenIds.
sortedUniqueIndices() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad: Gets sortedUniqueIndices.
sortedUniqueIndices() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad: Gets sortedUniqueIndices.
sortedUniqueIndices() - Method in class org.tensorflow.op.sparse.SparseSegmentSumGrad: Gets sortedUniqueIndices.
SortListOfSparseCoreCooTensors - Class in org.tensorflow.op.sparse: The SortListOfSparseCoreCooTensors operation
SortListOfSparseCoreCooTensors(Operation) - Constructor for class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors
SortListOfSparseCoreCooTensors.Inputs - Class in org.tensorflow.op.sparse
source - Variable in class org.tensorflow.op.core.TensorArrayGrad.Inputs: The gradient source string, used to decide which gradient TensorArray to return.
source - Variable in class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs: The gradient source string, used to decide which gradient TensorArray to return.
SOURCE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
SOURCE_FILE - Enum constant in enum org.tensorflow.proto.DebugEvent.WhatCase
SOURCE_FILE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugEvent
SOURCE_FILES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebuggedSourceFiles
SOURCE_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Event
SOURCE_UNSPECIFIED - Enum constant in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource: SOURCE_UNSPECIFIED = 0;
SOURCE_UNSPECIFIED_VALUE - Static variable in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource: SOURCE_UNSPECIFIED = 0;
SourceFile - Class in org.tensorflow.proto: Content of a source file involved in the execution of the debugged TensorFlow program.
SourceFile.Builder - Class in org.tensorflow.proto: Content of a source file involved in the execution of the debugged TensorFlow program.
SourceFileOrBuilder - Interface in org.tensorflow.proto
SourceMetadata - Class in org.tensorflow.proto: Holds the information of the source that writes the events.
SourceMetadata.Builder - Class in org.tensorflow.proto: Holds the information of the source that writes the events.
SourceMetadataOrBuilder - Interface in org.tensorflow.proto
sourceTargetPairs - Variable in class org.tensorflow.op.collective.CollectivePermute.Inputs: A tensor with shape [num_pairs, 2].
spaceToBatch(Operand, Operand, Long) - Method in class org.tensorflow.op.NnOps: SpaceToBatch for 4-D tensors of type T.
SpaceToBatch<T> - Class in org.tensorflow.op.nn: SpaceToBatch for 4-D tensors of type T.
SpaceToBatch(Operation) - Constructor for class org.tensorflow.op.nn.SpaceToBatch
SpaceToBatch.Inputs<T> - Class in org.tensorflow.op.nn
spaceToBatchNd(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: SpaceToBatch for N-D tensors of type T.
SpaceToBatchNd<T> - Class in org.tensorflow.op.core: SpaceToBatch for N-D tensors of type T.
SpaceToBatchNd(Operation) - Constructor for class org.tensorflow.op.core.SpaceToBatchNd
SpaceToBatchNd.Inputs<T> - Class in org.tensorflow.op.core
spaceToDepth(Operand, Long, SpaceToDepth.Options...) - Method in class org.tensorflow.op.NnOps: SpaceToDepth for tensors of type T.
SpaceToDepth<T> - Class in org.tensorflow.op.nn: SpaceToDepth for tensors of type T.
SpaceToDepth(Operation) - Constructor for class org.tensorflow.op.nn.SpaceToDepth
SpaceToDepth.Inputs<T> - Class in org.tensorflow.op.nn
SpaceToDepth.Options - Class in org.tensorflow.op.nn: Optional attributes for SpaceToDepth
sparse - Variable in class org.tensorflow.op.LinalgOps
sparse - Variable in class org.tensorflow.op.Ops
SPARSE_TENSOR_SPEC - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.SparseTensorSpec
SPARSE_TENSOR_SPEC_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.SparseTensorSpec
sparseAccumulatorApplyGradient(Operand, Operand, Operand, Operand, Operand, Boolean) - Method in class org.tensorflow.op.SparseOps: Applies a sparse gradient to a given accumulator.
SparseAccumulatorApplyGradient - Class in org.tensorflow.op.sparse: Applies a sparse gradient to a given accumulator.
SparseAccumulatorApplyGradient(Operation) - Constructor for class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient
SparseAccumulatorApplyGradient.Inputs - Class in org.tensorflow.op.sparse
sparseAccumulatorTakeGradient(Operand, Operand, Class) - Method in class org.tensorflow.op.SparseOps: Extracts the average sparse gradient in a SparseConditionalAccumulator.
SparseAccumulatorTakeGradient<T> - Class in org.tensorflow.op.sparse: Extracts the average sparse gradient in a SparseConditionalAccumulator.
SparseAccumulatorTakeGradient(Operation) - Constructor for class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient
SparseAccumulatorTakeGradient.Inputs - Class in org.tensorflow.op.sparse
sparseAdd(Operand, Operand, Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Adds two SparseTensor objects to produce another SparseTensor.
SparseAdd<T> - Class in org.tensorflow.op.sparse: Adds two SparseTensor objects to produce another SparseTensor.
SparseAdd(Operation) - Constructor for class org.tensorflow.op.sparse.SparseAdd
SparseAdd.Inputs<T> - Class in org.tensorflow.op.sparse
sparseAddGrad(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: The gradient operator for the SparseAdd op.
SparseAddGrad<T> - Class in org.tensorflow.op.sparse: The gradient operator for the SparseAdd op.
SparseAddGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseAddGrad
SparseAddGrad.Inputs<T> - Class in org.tensorflow.op.sparse
sparseApplyAdadelta(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps: var: Should be from a Variable().
SparseApplyAdadelta<T> - Class in org.tensorflow.op.train: var: Should be from a Variable().
SparseApplyAdadelta(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyAdadelta
SparseApplyAdadelta.Inputs<T> - Class in org.tensorflow.op.train
SparseApplyAdadelta.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyAdadelta
sparseApplyAdagrad(Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
SparseApplyAdagrad<T> - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
SparseApplyAdagrad(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyAdagrad
SparseApplyAdagrad.Inputs<T> - Class in org.tensorflow.op.train
SparseApplyAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyAdagrad
sparseApplyAdagradDa(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps: Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
SparseApplyAdagradDa<T> - Class in org.tensorflow.op.train: Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
SparseApplyAdagradDa(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyAdagradDa
SparseApplyAdagradDa.Inputs<T> - Class in org.tensorflow.op.train
SparseApplyAdagradDa.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyAdagradDa
sparseApplyCenteredRmsProp(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the centered RMSProp algorithm.
SparseApplyCenteredRmsProp<T> - Class in org.tensorflow.op.train: Update '*var' according to the centered RMSProp algorithm.
SparseApplyCenteredRmsProp(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyCenteredRmsProp
SparseApplyCenteredRmsProp.Inputs<T> - Class in org.tensorflow.op.train
SparseApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyCenteredRmsProp
sparseApplyFtrl(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' according to the Ftrl-proximal scheme.
SparseApplyFtrl<T> - Class in org.tensorflow.op.train: Update relevant entries in '*var' according to the Ftrl-proximal scheme.
SparseApplyFtrl(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyFtrl
SparseApplyFtrl.Inputs<T> - Class in org.tensorflow.op.train
SparseApplyFtrl.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyFtrl
sparseApplyMomentum(Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
SparseApplyMomentum<T> - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
SparseApplyMomentum(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyMomentum
SparseApplyMomentum.Inputs<T> - Class in org.tensorflow.op.train
SparseApplyMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyMomentum
sparseApplyProximalAdagrad(Operand, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
SparseApplyProximalAdagrad<T> - Class in org.tensorflow.op.train: Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
SparseApplyProximalAdagrad(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyProximalAdagrad
SparseApplyProximalAdagrad.Inputs<T> - Class in org.tensorflow.op.train
SparseApplyProximalAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyProximalAdagrad
sparseApplyProximalGradientDescent(Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Sparse update '*var' as FOBOS algorithm with fixed learning rate.
SparseApplyProximalGradientDescent<T> - Class in org.tensorflow.op.train: Sparse update '*var' as FOBOS algorithm with fixed learning rate.
SparseApplyProximalGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyProximalGradientDescent
SparseApplyProximalGradientDescent.Inputs<T> - Class in org.tensorflow.op.train
SparseApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyProximalGradientDescent
sparseApplyRmsProp(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, SparseApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the RMSProp algorithm.
SparseApplyRmsProp<T> - Class in org.tensorflow.op.train: Update '*var' according to the RMSProp algorithm.
SparseApplyRmsProp(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyRmsProp
SparseApplyRmsProp.Inputs<T> - Class in org.tensorflow.op.train
SparseApplyRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyRmsProp
sparseBincount(Operand, Operand, Operand, Operand, Operand, SparseBincount.Options...) - Method in class org.tensorflow.op.SparseOps: Counts the number of occurrences of each value in an integer array.
SparseBincount - Class in org.tensorflow.op.sparse: Counts the number of occurrences of each value in an integer array.
SparseBincount(Operation) - Constructor for class org.tensorflow.op.sparse.SparseBincount
SparseBincount.Inputs<T,U> - Class in org.tensorflow.op.sparse
SparseBincount.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseBincount
SparseCategoricalAccuracy<T> - Class in org.tensorflow.framework.metrics: Calculates how often predictions matches integer labels.
SparseCategoricalAccuracy(long, Class) - Constructor for class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Creates a SparseCategoricalAccuracy metric, using name of Class.getSimpleName().
SparseCategoricalAccuracy(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Creates a SparseCategoricalAccuracy metric.
sparseCategoricalCrossentropy(Ops, Operand, Operand, boolean, int) - Static method in class org.tensorflow.framework.losses.Losses: Computes the sparse categorical crossentropy loss between labels and predictions.
SparseCategoricalCrossentropy - Class in org.tensorflow.framework.losses: Computes the crossentropy loss between labels and predictions.
SparseCategoricalCrossentropy<T> - Class in org.tensorflow.framework.metrics: A metric that computes the sparse categorical cross-entropy loss between true labels and predicted labels.
SparseCategoricalCrossentropy() - Constructor for class org.tensorflow.framework.losses.SparseCategoricalCrossentropy: Creates a SparseCategoricalCrossentropy loss using Class.getSimpleName() as the loss name, a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT, and fromLogits=SparseCategoricalCrossentropy.FROM_LOGITS_DEFAULT.
SparseCategoricalCrossentropy(boolean) - Constructor for class org.tensorflow.framework.losses.SparseCategoricalCrossentropy: Creates a SparseCategoricalCrossentropy loss using Class.getSimpleName() as the loss name, a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT and fromLogits=SparseCategoricalCrossentropy.FROM_LOGITS_DEFAULT.
SparseCategoricalCrossentropy(boolean, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Creates a SparseCategoricalCrossentropy metric using Class.getSimpleName() for the metric name.
SparseCategoricalCrossentropy(boolean, Reduction) - Constructor for class org.tensorflow.framework.losses.SparseCategoricalCrossentropy: Creates a SparseCategoricalCrossentropy loss using Class.getSimpleName() as the loss name,
SparseCategoricalCrossentropy(String) - Constructor for class org.tensorflow.framework.losses.SparseCategoricalCrossentropy: Creates a SparseCategoricalCrossentropy loss using a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT, and fromLogits=SparseCategoricalCrossentropy.FROM_LOGITS_DEFAULT.
SparseCategoricalCrossentropy(String, boolean) - Constructor for class org.tensorflow.framework.losses.SparseCategoricalCrossentropy: Creates a SparseCategoricalCrossentropy using a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT, and fromLogits=SparseCategoricalCrossentropy.FROM_LOGITS_DEFAULT.
SparseCategoricalCrossentropy(String, boolean, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Creates a SparseCategoricalCrossentropy metric
SparseCategoricalCrossentropy(String, boolean, Reduction, int) - Constructor for class org.tensorflow.framework.losses.SparseCategoricalCrossentropy: Creates a SparseCategoricalCrossentropy
SparseCategoricalCrossentropy(String, Reduction) - Constructor for class org.tensorflow.framework.losses.SparseCategoricalCrossentropy: Creates a SparseCategoricalCrossentropy loss with Reduction.AUTO and fromLogits=SparseCategoricalCrossentropy.FROM_LOGITS_DEFAULT.
SparseCategoricalCrossentropy(Reduction) - Constructor for class org.tensorflow.framework.losses.SparseCategoricalCrossentropy: Creates a SparseCategoricalCrossentropy loss using Class.getSimpleName() as the loss name, with Reduction.AUTO and fromLogits=SparseCategoricalCrossentropy.FROM_LOGITS_DEFAULT.
sparseConcat(Iterable, Iterable, Iterable, Long) - Method in class org.tensorflow.op.SparseOps: Concatenates a list of SparseTensor along the specified dimension.
SparseConcat<T> - Class in org.tensorflow.op.sparse: Concatenates a list of SparseTensor along the specified dimension.
SparseConcat(Operation) - Constructor for class org.tensorflow.op.sparse.SparseConcat
SparseConcat.Inputs<T> - Class in org.tensorflow.op.sparse
sparseConditionalAccumulator(Class, Shape, SparseConditionalAccumulator.Options...) - Method in class org.tensorflow.op.SparseOps: A conditional accumulator for aggregating sparse gradients.
SparseConditionalAccumulator - Class in org.tensorflow.op.sparse: A conditional accumulator for aggregating sparse gradients.
SparseConditionalAccumulator(Operation) - Constructor for class org.tensorflow.op.sparse.SparseConditionalAccumulator
SparseConditionalAccumulator.Inputs - Class in org.tensorflow.op.sparse
SparseConditionalAccumulator.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseConditionalAccumulator
sparseCountSparseOutput(Operand, Operand, Operand, Operand, Boolean, SparseCountSparseOutput.Options...) - Method in class org.tensorflow.op.SparseOps: Performs sparse-output bin counting for a sparse tensor input.
SparseCountSparseOutput - Class in org.tensorflow.op.sparse: Performs sparse-output bin counting for a sparse tensor input.
SparseCountSparseOutput(Operation) - Constructor for class org.tensorflow.op.sparse.SparseCountSparseOutput
SparseCountSparseOutput.Inputs - Class in org.tensorflow.op.sparse
SparseCountSparseOutput.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseCountSparseOutput
sparseCross(Iterable, Iterable, Iterable, Iterable, Operand) - Method in class org.tensorflow.op.SparseOps: Generates sparse cross from a list of sparse and dense tensors.
SparseCross - Class in org.tensorflow.op.sparse: Generates sparse cross from a list of sparse and dense tensors.
SparseCross(Operation) - Constructor for class org.tensorflow.op.sparse.SparseCross
SparseCross.Inputs - Class in org.tensorflow.op.sparse
sparseCrossHashed(Iterable, Iterable, Iterable, Iterable, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Generates sparse cross from a list of sparse and dense tensors.
SparseCrossHashed - Class in org.tensorflow.op.sparse: Generates sparse cross from a list of sparse and dense tensors.
SparseCrossHashed(Operation) - Constructor for class org.tensorflow.op.sparse.SparseCrossHashed
SparseCrossHashed.Inputs - Class in org.tensorflow.op.sparse
sparseDenseCwiseAdd(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Adds up a SparseTensor and a dense Tensor, using these special rules: (1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the SparseTensor participate in the cwise addition.
SparseDenseCwiseAdd<T> - Class in org.tensorflow.op.sparse: Adds up a SparseTensor and a dense Tensor, using these special rules: (1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the SparseTensor participate in the cwise addition.
SparseDenseCwiseAdd(Operation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseAdd
SparseDenseCwiseAdd.Inputs<T> - Class in org.tensorflow.op.sparse
sparseDenseCwiseDiv(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Component-wise divides a SparseTensor by a dense Tensor.
SparseDenseCwiseDiv<T> - Class in org.tensorflow.op.sparse: Component-wise divides a SparseTensor by a dense Tensor.
SparseDenseCwiseDiv(Operation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseDiv
SparseDenseCwiseDiv.Inputs<T> - Class in org.tensorflow.op.sparse
sparseDenseCwiseMul(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Component-wise multiplies a SparseTensor by a dense Tensor.
SparseDenseCwiseMul<T> - Class in org.tensorflow.op.sparse: Component-wise multiplies a SparseTensor by a dense Tensor.
SparseDenseCwiseMul(Operation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseMul
SparseDenseCwiseMul.Inputs<T> - Class in org.tensorflow.op.sparse
sparseDenseShape() - Method in class org.tensorflow.op.ragged.RaggedTensorToSparse: Gets sparseDenseShape.
sparseExampleIndices - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors which contain example indices.
sparseFeatureIndices - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors which contain feature indices.
sparseFeatureValues - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors which contains feature value associated with each feature group.
sparseFillEmptyRows(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Fills empty rows in the input 2-D SparseTensor with a default value.
SparseFillEmptyRows<T> - Class in org.tensorflow.op.sparse: Fills empty rows in the input 2-D SparseTensor with a default value.
SparseFillEmptyRows(Operation) - Constructor for class org.tensorflow.op.sparse.SparseFillEmptyRows
SparseFillEmptyRows.Inputs<T> - Class in org.tensorflow.op.sparse
sparseFillEmptyRowsGrad(Operand, Operand) - Method in class org.tensorflow.op.SparseOps: The gradient of SparseFillEmptyRows.
SparseFillEmptyRowsGrad<T> - Class in org.tensorflow.op.sparse: The gradient of SparseFillEmptyRows.
SparseFillEmptyRowsGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad
SparseFillEmptyRowsGrad.Inputs<T> - Class in org.tensorflow.op.sparse
sparseGradient - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The sparseGradient attribute
sparseGradient - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The sparseGradient attribute
sparseGradient - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The sparseGradient attribute
sparseGradient - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The sparseGradient attribute
sparseGradient - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The sparseGradient attribute
sparseGradient - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The sparseGradient attribute
sparseGradient(Boolean) - Method in class org.tensorflow.op.sparse.SparseSegmentMean.Options: Sets the sparseGradient option.
sparseGradient(Boolean) - Static method in class org.tensorflow.op.sparse.SparseSegmentMean: Sets the sparseGradient option.
sparseGradient(Boolean) - Method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Options: Sets the sparseGradient option.
sparseGradient(Boolean) - Static method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments: Sets the sparseGradient option.
sparseGradient(Boolean) - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Options: Sets the sparseGradient option.
sparseGradient(Boolean) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtN: Sets the sparseGradient option.
sparseGradient(Boolean) - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Options: Sets the sparseGradient option.
sparseGradient(Boolean) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments: Sets the sparseGradient option.
sparseGradient(Boolean) - Method in class org.tensorflow.op.sparse.SparseSegmentSum.Options: Sets the sparseGradient option.
sparseGradient(Boolean) - Static method in class org.tensorflow.op.sparse.SparseSegmentSum: Sets the sparseGradient option.
sparseGradient(Boolean) - Method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Options: Sets the sparseGradient option.
sparseGradient(Boolean) - Static method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments: Sets the sparseGradient option.
sparseHandle() - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap: Gets sparseHandle. 0-D.
sparseHandles - Variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs: 1-D, The N serialized SparseTensor objects.
sparseHandles() - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: Gets sparseHandles. 1-D.
sparseIndices - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: 2-D.
sparseIndices - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: 2-D.
sparseIndices - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The indices tensor for each SparseTensor input.
sparseIndices - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: 2-D.
sparseIndices - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: 2-D.
sparseIndices - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: 0-D, 1-D, or 2-D.
sparseIndices - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors where each value is the indices which has corresponding weights in sparse_weights.
sparseIndices() - Method in class org.tensorflow.op.io.DeserializeManySparse: Gets sparseIndices.
sparseIndices() - Method in class org.tensorflow.op.io.ParseExample: Gets sparseIndices.
sparseIndices() - Method in class org.tensorflow.op.io.ParseSingleExample: Gets sparseIndices.
sparseIndices() - Method in class org.tensorflow.op.ragged.RaggedTensorToSparse: Gets sparseIndices.
sparseIndices() - Method in class org.tensorflow.op.sparse.DeserializeSparse: Gets sparseIndices.
sparseIndices() - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Gets sparseIndices. 2-D.
sparseInput - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense.Inputs: A batched CSRSparseMatrix.
sparseKeys - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A list of string keys in the examples features.
sparseKeys - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A list of string keys in the examples features.
sparseKeys - Variable in class org.tensorflow.op.io.ParseExample.Inputs: Vector of strings.
sparseKeys - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: A list of num_sparse strings.
sparseMatMul(Operand, Operand, SparseMatMul.Options...) - Method in class org.tensorflow.op.SparseOps: Multiply matrix "a" by matrix "b".
SparseMatMul - Class in org.tensorflow.op.sparse: Multiply matrix "a" by matrix "b".
SparseMatMul(Operation) - Constructor for class org.tensorflow.op.sparse.SparseMatMul
SparseMatMul.Inputs - Class in org.tensorflow.op.sparse
SparseMatMul.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseMatMul
sparseMatrix - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor.Inputs: A (possibly batched) CSRSparseMatrix.
sparseMatrix - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ.Inputs: A CSRSparseMatrix.
sparseMatrix() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros: Gets sparseMatrix.
sparseMatrix() - Method in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix: Gets sparseMatrix.
sparseMatrixAdd(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.LinalgSparseOps: Sparse addition of two CSR matrices, C = alpha * A + beta * B.
SparseMatrixAdd - Class in org.tensorflow.op.linalg.sparse: Sparse addition of two CSR matrices, C = alpha * A + beta * B.
SparseMatrixAdd(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixAdd
SparseMatrixAdd.Inputs<T> - Class in org.tensorflow.op.linalg.sparse
sparseMatrixMatMul(Operand, Operand, SparseMatrixMatMul.Options...) - Method in class org.tensorflow.op.LinalgSparseOps: Matrix-multiplies a sparse matrix with a dense matrix.
SparseMatrixMatMul<T> - Class in org.tensorflow.op.linalg.sparse: Matrix-multiplies a sparse matrix with a dense matrix.
SparseMatrixMatMul(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul
SparseMatrixMatMul.Inputs<T> - Class in org.tensorflow.op.linalg.sparse
SparseMatrixMatMul.Options - Class in org.tensorflow.op.linalg.sparse: Optional attributes for SparseMatrixMatMul
sparseMatrixMul(Operand, Operand) - Method in class org.tensorflow.op.LinalgSparseOps: Element-wise multiplication of a sparse matrix with a dense tensor.
SparseMatrixMul - Class in org.tensorflow.op.linalg.sparse: Element-wise multiplication of a sparse matrix with a dense tensor.
SparseMatrixMul(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixMul
SparseMatrixMul.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseMatrixNNZ(Operand) - Method in class org.tensorflow.op.LinalgSparseOps: Returns the number of nonzeroes of sparse_matrix.
SparseMatrixNNZ - Class in org.tensorflow.op.linalg.sparse: Returns the number of nonzeroes of sparse_matrix.
SparseMatrixNNZ(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ
SparseMatrixNNZ.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseMatrixOrderingAMD(Operand) - Method in class org.tensorflow.op.LinalgSparseOps: Computes the Approximate Minimum Degree (AMD) ordering of input.
SparseMatrixOrderingAMD - Class in org.tensorflow.op.linalg.sparse: Computes the Approximate Minimum Degree (AMD) ordering of input.
SparseMatrixOrderingAMD(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD
SparseMatrixOrderingAMD.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseMatrixSoftmax(Operand, Class) - Method in class org.tensorflow.op.LinalgSparseOps: Calculates the softmax of a CSRSparseMatrix.
SparseMatrixSoftmax - Class in org.tensorflow.op.linalg.sparse: Calculates the softmax of a CSRSparseMatrix.
SparseMatrixSoftmax(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax
SparseMatrixSoftmax.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseMatrixSoftmaxGrad(Operand, Operand, Class) - Method in class org.tensorflow.op.LinalgSparseOps: Calculates the gradient of the SparseMatrixSoftmax op.
SparseMatrixSoftmaxGrad - Class in org.tensorflow.op.linalg.sparse: Calculates the gradient of the SparseMatrixSoftmax op.
SparseMatrixSoftmaxGrad(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad
SparseMatrixSoftmaxGrad.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseMatrixSparseCholesky(Operand, Operand, Class) - Method in class org.tensorflow.op.LinalgSparseOps: Computes the sparse Cholesky decomposition of input.
SparseMatrixSparseCholesky - Class in org.tensorflow.op.linalg.sparse: Computes the sparse Cholesky decomposition of input.
SparseMatrixSparseCholesky(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky
SparseMatrixSparseCholesky.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseMatrixSparseMatMul(Operand, Operand, Class, SparseMatrixSparseMatMul.Options...) - Method in class org.tensorflow.op.LinalgSparseOps: Sparse-matrix-multiplies two CSR matrices a and b.
SparseMatrixSparseMatMul - Class in org.tensorflow.op.linalg.sparse: Sparse-matrix-multiplies two CSR matrices a and b.
SparseMatrixSparseMatMul(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul
SparseMatrixSparseMatMul.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseMatrixSparseMatMul.Options - Class in org.tensorflow.op.linalg.sparse: Optional attributes for SparseMatrixSparseMatMul
sparseMatrixTranspose(Operand, Class, SparseMatrixTranspose.Options...) - Method in class org.tensorflow.op.LinalgSparseOps: Transposes the inner (matrix) dimensions of a CSRSparseMatrix.
SparseMatrixTranspose - Class in org.tensorflow.op.linalg.sparse: Transposes the inner (matrix) dimensions of a CSRSparseMatrix.
SparseMatrixTranspose(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose
SparseMatrixTranspose.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseMatrixTranspose.Options - Class in org.tensorflow.op.linalg.sparse: Optional attributes for SparseMatrixTranspose
sparseMatrixZeros(Operand, Class) - Method in class org.tensorflow.op.LinalgSparseOps: Creates an all-zeros CSRSparseMatrix with shape dense_shape.
SparseMatrixZeros - Class in org.tensorflow.op.linalg.sparse: Creates an all-zeros CSRSparseMatrix with shape dense_shape.
SparseMatrixZeros(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixZeros
SparseMatrixZeros.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseOps - Class in org.tensorflow.op: An API for building sparse operations as Ops
sparseOutput() - Method in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix: Gets sparseOutput.
sparseReduceMax(Operand, Operand, Operand, Operand, SparseReduceMax.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMax<T> - Class in org.tensorflow.op.sparse: Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMax(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReduceMax
SparseReduceMax.Inputs<T> - Class in org.tensorflow.op.sparse
SparseReduceMax.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseReduceMax
sparseReduceMaxSparse(Operand, Operand, Operand, Operand, SparseReduceMaxSparse.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMaxSparse<T> - Class in org.tensorflow.op.sparse: Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMaxSparse(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReduceMaxSparse
SparseReduceMaxSparse.Inputs<T> - Class in org.tensorflow.op.sparse
SparseReduceMaxSparse.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseReduceMaxSparse
sparseReduceSum(Operand, Operand, Operand, Operand, SparseReduceSum.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSum<T> - Class in org.tensorflow.op.sparse: Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSum(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReduceSum
SparseReduceSum.Inputs<T> - Class in org.tensorflow.op.sparse
SparseReduceSum.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseReduceSum
sparseReduceSumSparse(Operand, Operand, Operand, Operand, SparseReduceSumSparse.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSumSparse<T> - Class in org.tensorflow.op.sparse: Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSumSparse(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReduceSumSparse
SparseReduceSumSparse.Inputs<T> - Class in org.tensorflow.op.sparse
SparseReduceSumSparse.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseReduceSumSparse
sparseReorder(Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Reorders a SparseTensor into the canonical, row-major ordering.
SparseReorder<T> - Class in org.tensorflow.op.sparse: Reorders a SparseTensor into the canonical, row-major ordering.
SparseReorder(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReorder
SparseReorder.Inputs<T> - Class in org.tensorflow.op.sparse
sparseReshape(Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Reshapes a SparseTensor to represent values in a new dense shape.
SparseReshape - Class in org.tensorflow.op.sparse: Reshapes a SparseTensor to represent values in a new dense shape.
SparseReshape(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReshape
SparseReshape.Inputs - Class in org.tensorflow.op.sparse
sparseSegmentMean(Operand, Operand, Operand, SparseSegmentMean.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the mean along sparse segments of a tensor.
SparseSegmentMean<T> - Class in org.tensorflow.op.sparse: Computes the mean along sparse segments of a tensor.
SparseSegmentMean(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMean
SparseSegmentMean.Inputs<T> - Class in org.tensorflow.op.sparse
SparseSegmentMean.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseSegmentMean
sparseSegmentMeanGrad(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Computes gradients for SparseSegmentMean.
SparseSegmentMeanGrad<T,U> - Class in org.tensorflow.op.sparse: Computes gradients for SparseSegmentMean.
SparseSegmentMeanGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMeanGrad
SparseSegmentMeanGrad.Inputs<T,U> - Class in org.tensorflow.op.sparse
sparseSegmentMeanWithNumSegments(Operand, Operand, Operand, Operand, SparseSegmentMeanWithNumSegments.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the mean along sparse segments of a tensor.
SparseSegmentMeanWithNumSegments<T> - Class in org.tensorflow.op.sparse: Computes the mean along sparse segments of a tensor.
SparseSegmentMeanWithNumSegments(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments
SparseSegmentMeanWithNumSegments.Inputs<T> - Class in org.tensorflow.op.sparse
SparseSegmentMeanWithNumSegments.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseSegmentMeanWithNumSegments
sparseSegmentSqrtN(Operand, Operand, Operand, SparseSegmentSqrtN.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtN<T> - Class in org.tensorflow.op.sparse: Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtN(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtN
SparseSegmentSqrtN.Inputs<T> - Class in org.tensorflow.op.sparse
SparseSegmentSqrtN.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseSegmentSqrtN
sparseSegmentSqrtNGrad(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Computes gradients for SparseSegmentSqrtN.
SparseSegmentSqrtNGrad<T,U> - Class in org.tensorflow.op.sparse: Computes gradients for SparseSegmentSqrtN.
SparseSegmentSqrtNGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad
SparseSegmentSqrtNGrad.Inputs<T,U> - Class in org.tensorflow.op.sparse
sparseSegmentSqrtNWithNumSegments(Operand, Operand, Operand, Operand, SparseSegmentSqrtNWithNumSegments.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtNWithNumSegments<T> - Class in org.tensorflow.op.sparse: Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtNWithNumSegments(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments
SparseSegmentSqrtNWithNumSegments.Inputs<T> - Class in org.tensorflow.op.sparse
SparseSegmentSqrtNWithNumSegments.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseSegmentSqrtNWithNumSegments
sparseSegmentSum(Operand, Operand, Operand, SparseSegmentSum.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum along sparse segments of a tensor.
SparseSegmentSum<T> - Class in org.tensorflow.op.sparse: Computes the sum along sparse segments of a tensor.
SparseSegmentSum(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSum
SparseSegmentSum.Inputs<T> - Class in org.tensorflow.op.sparse
SparseSegmentSum.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseSegmentSum
sparseSegmentSumGrad(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Computes gradients for SparseSegmentSum.
SparseSegmentSumGrad<T,U> - Class in org.tensorflow.op.sparse: Computes gradients for SparseSegmentSum.
SparseSegmentSumGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSumGrad
SparseSegmentSumGrad.Inputs<T,U> - Class in org.tensorflow.op.sparse
sparseSegmentSumWithNumSegments(Operand, Operand, Operand, Operand, SparseSegmentSumWithNumSegments.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum along sparse segments of a tensor.
SparseSegmentSumWithNumSegments<T> - Class in org.tensorflow.op.sparse: Computes the sum along sparse segments of a tensor.
SparseSegmentSumWithNumSegments(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments
SparseSegmentSumWithNumSegments.Inputs<T> - Class in org.tensorflow.op.sparse
SparseSegmentSumWithNumSegments.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseSegmentSumWithNumSegments
sparseShape - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: 1-D.
sparseShape - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: 1-D.
sparseShape - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The dense_shape tensor for each SparseTensor input.
sparseShape - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: 1-D.
sparseShape - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: 1-D.
sparseShape() - Method in class org.tensorflow.op.io.DeserializeManySparse: Gets sparseShape.
sparseShape() - Method in class org.tensorflow.op.sparse.DeserializeSparse: Gets sparseShape.
sparseShape() - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Gets sparseShape. 1-D.
sparseShapes() - Method in class org.tensorflow.op.io.ParseExample: Gets sparseShapes.
sparseShapes() - Method in class org.tensorflow.op.io.ParseSingleExample: Gets sparseShapes.
sparseSlice(Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Slice a SparseTensor based on the start and size.
SparseSlice<T> - Class in org.tensorflow.op.sparse: Slice a SparseTensor based on the start and size.
SparseSlice(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSlice
SparseSlice.Inputs<T> - Class in org.tensorflow.op.sparse
sparseSliceGrad(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: The gradient operator for the SparseSlice op.
SparseSliceGrad<T> - Class in org.tensorflow.op.sparse: The gradient operator for the SparseSlice op.
SparseSliceGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSliceGrad
SparseSliceGrad.Inputs<T> - Class in org.tensorflow.op.sparse
sparseSoftmax(Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Applies softmax to a batched N-D SparseTensor.
SparseSoftmax<T> - Class in org.tensorflow.op.sparse: Applies softmax to a batched N-D SparseTensor.
SparseSoftmax(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSoftmax
SparseSoftmax.Inputs<T> - Class in org.tensorflow.op.sparse
sparseSoftmaxCrossEntropyWithLogits(Scope, Operand, Operand) - Static method in class org.tensorflow.framework.op.nn.SparseSoftmaxCrossEntropyWithLogits: Computes sparse softmax cross entropy between logits and labels.
sparseSoftmaxCrossEntropyWithLogits(Operand, Operand) - Method in class org.tensorflow.op.NnOps: Computes softmax cross entropy cost and gradients to backpropagate.
sparseSoftmaxCrossEntropyWithLogits(Operand, Operand) - Method in class org.tensorflow.framework.op.NnOps: Computes sparse softmax cross entropy between logits and labels.
SparseSoftmaxCrossEntropyWithLogits - Class in org.tensorflow.framework.op.nn
SparseSoftmaxCrossEntropyWithLogits<T> - Class in org.tensorflow.op.nn: Computes softmax cross entropy cost and gradients to backpropagate.
SparseSoftmaxCrossEntropyWithLogits() - Constructor for class org.tensorflow.framework.op.nn.SparseSoftmaxCrossEntropyWithLogits
SparseSoftmaxCrossEntropyWithLogits(Operation) - Constructor for class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits
SparseSoftmaxCrossEntropyWithLogits.Inputs<T> - Class in org.tensorflow.op.nn
sparseSparseMaximum(Operand, Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Returns the element-wise max of two SparseTensors.
SparseSparseMaximum<T> - Class in org.tensorflow.op.sparse: Returns the element-wise max of two SparseTensors.
SparseSparseMaximum(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSparseMaximum
SparseSparseMaximum.Inputs<T> - Class in org.tensorflow.op.sparse
sparseSparseMinimum(Operand, Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Returns the element-wise min of two SparseTensors.
SparseSparseMinimum<T> - Class in org.tensorflow.op.sparse: Returns the element-wise min of two SparseTensors.
SparseSparseMinimum(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSparseMinimum
SparseSparseMinimum.Inputs<T> - Class in org.tensorflow.op.sparse
sparseSplit(Operand, Operand, Operand, Operand, Long) - Method in class org.tensorflow.op.SparseOps: Split a SparseTensor into num_split tensors along one dimension.
SparseSplit<T> - Class in org.tensorflow.op.sparse: Split a SparseTensor into num_split tensors along one dimension.
SparseSplit(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSplit
SparseSplit.Inputs<T> - Class in org.tensorflow.op.sparse
SparseTensor<T> - Class in org.tensorflow.framework.utils: This is a helper class that represents a sparse tensor who's attributes may be passed to SparseOps methods.
SparseTensor<T> - Interface in org.tensorflow: A virtual type of Tensor composed of three dense tensors (indices, values and dimensions) used to represent the sparse data into a multi-dimensional dense space.
SparseTensor(Operand, Operand, Operand) - Constructor for class org.tensorflow.framework.utils.SparseTensor: Creates a SparseTensor
sparseTensorDenseAdd(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SparseOps: Adds up a SparseTensor and a dense Tensor, producing a dense Tensor.
SparseTensorDenseAdd - Class in org.tensorflow.op.sparse: Adds up a SparseTensor and a dense Tensor, producing a dense Tensor.
SparseTensorDenseAdd(Operation) - Constructor for class org.tensorflow.op.sparse.SparseTensorDenseAdd
SparseTensorDenseAdd.Inputs<T,U> - Class in org.tensorflow.op.sparse
sparseTensorDenseMatMul(Operand, Operand, Operand, Operand, SparseTensorDenseMatMul.Options...) - Method in class org.tensorflow.op.SparseOps: Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
SparseTensorDenseMatMul - Class in org.tensorflow.op.sparse: Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
SparseTensorDenseMatMul(Operation) - Constructor for class org.tensorflow.op.sparse.SparseTensorDenseMatMul
SparseTensorDenseMatMul.Inputs - Class in org.tensorflow.op.sparse
SparseTensorDenseMatMul.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseTensorDenseMatMul
sparseTensorOf(TInt64, TBfloat16, TInt64) - Static method in interface org.tensorflow.types.TBfloat16: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TBool, TInt64) - Static method in interface org.tensorflow.types.TBool: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of false.
sparseTensorOf(TInt64, TFloat16, TInt64) - Static method in interface org.tensorflow.types.TFloat16: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TFloat32, TInt64) - Static method in interface org.tensorflow.types.TFloat32: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TFloat64, TInt64) - Static method in interface org.tensorflow.types.TFloat64: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TInt32, TInt64) - Static method in interface org.tensorflow.types.TInt32: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TInt64, TInt64) - Static method in interface org.tensorflow.types.TInt64: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TString, TInt64) - Static method in interface org.tensorflow.types.TString: Create a sparse tensor from indices, values and denseShape dense tensors, with an empty string as the default value.
sparseTensorOf(TInt64, TUint16, TInt64) - Static method in interface org.tensorflow.types.TUint16: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TUint8, TInt64) - Static method in interface org.tensorflow.types.TUint8: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorSliceDataset(Operand, Operand, Operand) - Method in class org.tensorflow.op.DataOps: Creates a dataset that splits a SparseTensor into elements row-wise.
SparseTensorSliceDataset - Class in org.tensorflow.op.data: Creates a dataset that splits a SparseTensor into elements row-wise.
SparseTensorSliceDataset(Operation) - Constructor for class org.tensorflow.op.data.SparseTensorSliceDataset
SparseTensorSliceDataset.Inputs - Class in org.tensorflow.op.data
sparseTensorToCSRSparseMatrix(Operand, Operand, Operand) - Method in class org.tensorflow.op.LinalgSparseOps: Converts a SparseTensor to a (possibly batched) CSRSparseMatrix.
SparseTensorToCSRSparseMatrix - Class in org.tensorflow.op.linalg.sparse: Converts a SparseTensor to a (possibly batched) CSRSparseMatrix.
SparseTensorToCSRSparseMatrix(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix
SparseTensorToCSRSparseMatrix.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseToDense(Operand, Operand, Operand, Operand, SparseToDense.Options...) - Method in class org.tensorflow.op.SparseOps: Converts a sparse representation into a dense tensor.
SparseToDense - Class in org.tensorflow.op.sparse: Converts a sparse representation into a dense tensor.
SparseToDense(Operation) - Constructor for class org.tensorflow.op.sparse.SparseToDense
SparseToDense.Inputs<T,U> - Class in org.tensorflow.op.sparse
SparseToDense.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseToDense
sparseTopKCategoricalAccuracy(Ops, Operand, Operand, int) - Static method in class org.tensorflow.framework.metrics.Metrics: Computes how often integer targets are in the top K predictions.
SparseTopKCategoricalAccuracy<T> - Class in org.tensorflow.framework.metrics: Computes how often integer targets are in the top `K` predictions.
SparseTopKCategoricalAccuracy(int, long, Class) - Constructor for class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Creates a SparseTopKCategoricalAccuracy metric using Class.getSimpleName() for the metric name.
SparseTopKCategoricalAccuracy(long, Class) - Constructor for class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Creates a SparseTopKCategoricalAccuracy metric using SparseTopKCategoricalAccuracy.DEFAULT_K for the number of top elements using Class.getSimpleName() for the metric name.
SparseTopKCategoricalAccuracy(String, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Creates a SparseTopKCategoricalAccuracy metric.
SparseTopKCategoricalAccuracy(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Creates a SparseTopKCategoricalAccuracy metric using SparseTopKCategoricalAccuracy.DEFAULT_K for the number of top elements.
sparseToSparseSetOperation(Operand, Operand, Operand, Operand, Operand, Operand, String, SparseToSparseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps: Applies set operation along last dimension of 2 SparseTensor inputs.
SparseToSparseSetOperation<T> - Class in org.tensorflow.op.sparse: Applies set operation along last dimension of 2 SparseTensor inputs.
SparseToSparseSetOperation(Operation) - Constructor for class org.tensorflow.op.sparse.SparseToSparseSetOperation
SparseToSparseSetOperation.Inputs<T> - Class in org.tensorflow.op.sparse
SparseToSparseSetOperation.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseToSparseSetOperation
sparseTypes - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A list of DTypes of the same length as sparse_keys.
sparseTypes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A list of DTypes of the same length as sparse_keys.
sparseTypes - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of num_sparse types; the data types of data in each Feature given in sparse_keys.
sparseTypes - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: A list of num_sparse types; the data types of data in each Feature given in sparse_keys.
sparseTypes - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: The sparseTypes attribute
sparseTypes - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: The sparseTypes attribute
sparseValues - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: 1-D.
sparseValues - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: 1-D.
sparseValues - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The values tensor for each SparseTensor input.
sparseValues - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: 1-D.
sparseValues - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: 1-D.
sparseValues - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: 1-D.
sparseValues() - Method in class org.tensorflow.op.io.DeserializeManySparse: Gets sparseValues.
sparseValues() - Method in class org.tensorflow.op.io.ParseExample: Gets sparseValues.
sparseValues() - Method in class org.tensorflow.op.io.ParseSingleExample: Gets sparseValues.
sparseValues() - Method in class org.tensorflow.op.ragged.RaggedTensorToSparse: Gets sparseValues.
sparseValues() - Method in class org.tensorflow.op.sparse.DeserializeSparse: Gets sparseValues.
sparseValues() - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Gets sparseValues. 1-D.
sparseValuesTypes - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The sparseValuesTypes attribute
sparseWeights - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors where each value is the weight associated with a sparse feature group.
special - Variable in class org.tensorflow.op.MathOps
SpecificityAtSensitivity<T> - Class in org.tensorflow.framework.metrics: Computes best specificity where sensitivity is >= specified value.
SpecificityAtSensitivity(float, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Creates a PrecisionRecall metric with a name of Class.getSimpleName().
SpecificityAtSensitivity(float, long, Class) - Constructor for class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Creates a SpecificityAtSensitivity metric with a name of Class.getSimpleName() and SensitivitySpecificityBase.DEFAULT_NUM_THRESHOLDS for the number of thresholds
SpecificityAtSensitivity(String, float, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Creates a PrecisionRecall metric.
SpecificityAtSensitivity(String, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Creates a SpecificityAtSensitivity metric with SensitivitySpecificityBase.DEFAULT_NUM_THRESHOLDS for the number of thresholds
spectrogram - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: Typically produced by the Spectrogram op, with magnitude_squared set to true.
spectrogram() - Method in class org.tensorflow.op.audio.AudioSpectrogram: Gets spectrogram. 3D representation of the audio frequencies as an image.
spence(Operand) - Method in class org.tensorflow.op.MathSpecialOps: The Spence operation
Spence<T> - Class in org.tensorflow.op.math.special: The Spence operation
Spence(Operation) - Constructor for class org.tensorflow.op.math.special.Spence
Spence.Inputs<T> - Class in org.tensorflow.op.math.special
spIndices - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: 2-D.
spIndices - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: 2-D.
spIndices - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: 2-D.
spIndices - Variable in class org.tensorflow.op.sparse.SparseSoftmax.Inputs: 2-D.
split(Operand, Operand, Long) - Method in class org.tensorflow.op.Ops: Splits a tensor into num_split tensors along one dimension.
Split<T> - Class in org.tensorflow.op.core: Splits a tensor into num_split tensors along one dimension.
Split(Operation) - Constructor for class org.tensorflow.op.core.Split
Split.Inputs<T> - Class in org.tensorflow.op.core
splitCount - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The number of splits, this number must equal to the sub-group size(group_assignment.get_shape()[1])
splitDedupData(Operand, Class, Class, String, SplitDedupData.Options...) - Method in class org.tensorflow.op.TpuOps: An op splits input deduplication data XLA tuple into integer and floating point tensors.
SplitDedupData<T,U> - Class in org.tensorflow.op.tpu: An op splits input deduplication data XLA tuple into integer and floating point tensors.
SplitDedupData(Operation) - Constructor for class org.tensorflow.op.tpu.SplitDedupData
SplitDedupData.Inputs - Class in org.tensorflow.op.tpu
SplitDedupData.Options - Class in org.tensorflow.op.tpu: Optional attributes for SplitDedupData
splitDim - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: 0-D.
splitDimension - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The dimension number to split.
splitND(Operand, Long, List, SplitND.Options...) - Method in class org.tensorflow.op.XlaOps: Splits input tensor across all dimensions.
SplitND<T> - Class in org.tensorflow.op.xla: Splits input tensor across all dimensions.
SplitND(Operation) - Constructor for class org.tensorflow.op.xla.SplitND
SplitND.Inputs<T> - Class in org.tensorflow.op.xla
SplitND.Options - Class in org.tensorflow.op.xla: Optional attributes for SplitND
splits - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: 1D int64 Tensor.
splits - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Tensor containing the row splits of the ragged tensor to count.
splits - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The splits input
splits - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The splits input
splits() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets splits.
splitV(Operand, Operand, Operand, Long) - Method in class org.tensorflow.op.Ops: Splits a tensor into num_split tensors along one dimension.
SplitV<T> - Class in org.tensorflow.op.core: Splits a tensor into num_split tensors along one dimension.
SplitV(Operation) - Constructor for class org.tensorflow.op.core.SplitV
SplitV.Inputs<T> - Class in org.tensorflow.op.core
spShape - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: 1-D.
spShape - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: 1-D.
spShape - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: 1-D.
spShape - Variable in class org.tensorflow.op.sparse.SparseSoftmax.Inputs: 1-D.
spValues - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: 1-D.
spValues - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: 1-D.
spValues - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: 1-D.
spValues - Variable in class org.tensorflow.op.sparse.SparseSoftmax.Inputs: 1-D.
sqlDataset(Operand, Operand, Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that executes a SQL query and emits rows of the result set.
sqlDataset(Operand, Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: Creates a dataset that executes a SQL query and emits rows of the result set.
SqlDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that executes a SQL query and emits rows of the result set.
SqlDataset - Class in org.tensorflow.op.data: Creates a dataset that executes a SQL query and emits rows of the result set.
SqlDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.SqlDataset
SqlDataset(Operation) - Constructor for class org.tensorflow.op.data.SqlDataset
SqlDataset.Inputs - Class in org.tensorflow.op.data.experimental
SqlDataset.Inputs - Class in org.tensorflow.op.data
sqrt(Ops, Operand) - Method in class org.tensorflow.framework.constraints.AbstractConstraint: Gets the element-wise square root.
sqrt(Operand) - Method in class org.tensorflow.op.MathOps: Computes square root of x element-wise.
Sqrt<T> - Class in org.tensorflow.op.math: Computes square root of x element-wise.
Sqrt(Operation) - Constructor for class org.tensorflow.op.math.Sqrt
Sqrt.Inputs<T> - Class in org.tensorflow.op.math
sqrtGrad(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the gradient for the sqrt of x wrt its input.
SqrtGrad<T> - Class in org.tensorflow.op.math: Computes the gradient for the sqrt of x wrt its input.
SqrtGrad(Operation) - Constructor for class org.tensorflow.op.math.SqrtGrad
SqrtGrad.Inputs<T> - Class in org.tensorflow.op.math
sqrtm(Operand) - Method in class org.tensorflow.op.LinalgOps: Computes the matrix square root of one or more square matrices: matmul(sqrtm(A), sqrtm(A)) = A
Sqrtm<T> - Class in org.tensorflow.op.linalg: Computes the matrix square root of one or more square matrices: matmul(sqrtm(A), sqrtm(A)) = A
Sqrtm(Operation) - Constructor for class org.tensorflow.op.linalg.Sqrtm
Sqrtm.Inputs<T> - Class in org.tensorflow.op.linalg
square(Operand) - Method in class org.tensorflow.op.MathOps: Computes square of x element-wise.
Square<T> - Class in org.tensorflow.op.math: Computes square of x element-wise.
Square(Operation) - Constructor for class org.tensorflow.op.math.Square
Square.Inputs<T> - Class in org.tensorflow.op.math
SQUARED_ACCUMULATOR - Static variable in class org.tensorflow.framework.optimizers.AdaGradDA
squaredDifference(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns conj(x - y)(x - y) element-wise.
SquaredDifference<T> - Class in org.tensorflow.op.math: Returns conj(x - y)(x - y) element-wise.
SquaredDifference(Operation) - Constructor for class org.tensorflow.op.math.SquaredDifference
SquaredDifference.Inputs<T> - Class in org.tensorflow.op.math
squaredHinge(Ops, Operand, Operand) - Static method in class org.tensorflow.framework.losses.Losses: Computes the squared hinge loss between labels and predictions.
SquaredHinge - Class in org.tensorflow.framework.losses: Computes the squared hinge loss between labels and predictions.
SquaredHinge<T> - Class in org.tensorflow.framework.metrics: A metric that computes the squared hinge loss metric between labels and predictions.
SquaredHinge() - Constructor for class org.tensorflow.framework.losses.SquaredHinge: Creates a Squared Hinge AbstractLoss using Class.getSimpleName() as the loss name and a AbstractLoss Reduction of AbstractLoss.REDUCTION_DEFAULT
SquaredHinge(long, Class) - Constructor for class org.tensorflow.framework.metrics.SquaredHinge: Creates a SquaredHinge metric using Class.getSimpleName() for the metric name.
SquaredHinge(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.SquaredHinge: Creates a SquaredHinge metric
SquaredHinge(String, Reduction) - Constructor for class org.tensorflow.framework.losses.SquaredHinge: Creates a Squared Hinge
SquaredHinge(Reduction) - Constructor for class org.tensorflow.framework.losses.SquaredHinge: Creates a Squared Hinge AbstractLoss using Class.getSimpleName() as the loss name
squeeze(Shape) - Method in class org.tensorflow.op.ShapeOps: Removes dimensions of size 1 from the shape.
squeeze(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Removes dimensions of size 1 from the shape.
squeeze(Scope, Shape) - Static method in class org.tensorflow.op.core.Shapes: Removes dimensions of size 1 from the shape.
squeeze(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Removes dimensions of size 1 from the shape.
squeeze(Operand, Squeeze.Options...) - Method in class org.tensorflow.op.Ops: Removes dimensions of size 1 from the shape of a tensor.
Squeeze<T> - Class in org.tensorflow.op.core: Removes dimensions of size 1 from the shape of a tensor.
Squeeze(Operation) - Constructor for class org.tensorflow.op.core.Squeeze
Squeeze.Inputs<T> - Class in org.tensorflow.op.core
Squeeze.Options - Class in org.tensorflow.op.core: Optional attributes for Squeeze
srcFormat - Variable in class org.tensorflow.op.nn.DataFormatDimMap.Inputs: source data format.
srcFormat - Variable in class org.tensorflow.op.nn.DataFormatVecPermute.Inputs: source data format.
srcFormat(String) - Method in class org.tensorflow.op.nn.DataFormatDimMap.Options: Sets the srcFormat option.
srcFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatDimMap: Sets the srcFormat option.
srcFormat(String) - Method in class org.tensorflow.op.nn.DataFormatVecPermute.Options: Sets the srcFormat option.
srcFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute: Sets the srcFormat option.
SrcT - Variable in class org.tensorflow.op.dtypes.Cast.Inputs: The SrcT attribute
stack(Iterable, Stack.Options...) - Method in class org.tensorflow.op.Ops: Packs a list of N rank-R tensors into one rank-(R+1) tensor.
Stack<T> - Class in org.tensorflow.op.core: Packs a list of N rank-R tensors into one rank-(R+1) tensor.
Stack(Operation) - Constructor for class org.tensorflow.op.core.Stack
STACK_FRAME_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CodeLocation
STACK_FRAME_WITH_ID - Enum constant in enum org.tensorflow.proto.DebugEvent.WhatCase
STACK_FRAME_WITH_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugEvent
Stack.Inputs<T> - Class in org.tensorflow.op.core
Stack.Options - Class in org.tensorflow.op.core: Optional attributes for Stack
stackClose(Operand) - Method in class org.tensorflow.op.Ops: Delete the stack from its resource container.
StackClose - Class in org.tensorflow.op.core: Delete the stack from its resource container.
StackClose(Operation) - Constructor for class org.tensorflow.op.core.StackClose
StackClose.Inputs - Class in org.tensorflow.op.core
stackCreate(Operand, Class, StackCreate.Options...) - Method in class org.tensorflow.op.Ops: A stack that produces elements in first-in last-out order.
StackCreate - Class in org.tensorflow.op.core: A stack that produces elements in first-in last-out order.
StackCreate(Operation) - Constructor for class org.tensorflow.op.core.StackCreate
StackCreate.Inputs - Class in org.tensorflow.op.core
StackCreate.Options - Class in org.tensorflow.op.core: Optional attributes for StackCreate
stackedTableSampleCount - Variable in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors.Inputs: The stackedTableSampleCount attribute
StackFrameWithId - Class in org.tensorflow.proto: A stack frame with ID.
StackFrameWithId.Builder - Class in org.tensorflow.proto: A stack frame with ID.
StackFrameWithIdOrBuilder - Interface in org.tensorflow.proto
stackName - Variable in class org.tensorflow.op.core.StackCreate.Inputs: Overrides the name used for the temporary stack resource.
stackName(String) - Method in class org.tensorflow.op.core.StackCreate.Options: Sets the stackName option.
stackName(String) - Static method in class org.tensorflow.op.core.StackCreate: Sets the stackName option.
stackPop(Operand, Class) - Method in class org.tensorflow.op.Ops: Pop the element at the top of the stack.
StackPop<T> - Class in org.tensorflow.op.core: Pop the element at the top of the stack.
StackPop(Operation) - Constructor for class org.tensorflow.op.core.StackPop
StackPop.Inputs - Class in org.tensorflow.op.core
stackPush(Operand, Operand, StackPush.Options...) - Method in class org.tensorflow.op.Ops: Push an element onto the stack.
StackPush<T> - Class in org.tensorflow.op.core: Push an element onto the stack.
StackPush(Operation) - Constructor for class org.tensorflow.op.core.StackPush
StackPush.Inputs<T> - Class in org.tensorflow.op.core
StackPush.Options - Class in org.tensorflow.op.core: Optional attributes for StackPush
stage(Iterable, Stage.Options...) - Method in class org.tensorflow.op.Ops: Stage values similar to a lightweight Enqueue.
Stage - Class in org.tensorflow.op.core: Stage values similar to a lightweight Enqueue.
Stage(Operation) - Constructor for class org.tensorflow.op.core.Stage
STAGE_BASED - Enum constant in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: STAGE_BASED = 4;
STAGE_BASED_VALUE - Static variable in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: STAGE_BASED = 4;
Stage.Inputs - Class in org.tensorflow.op.core
Stage.Options - Class in org.tensorflow.op.core: Optional attributes for Stage
stageClear(List, StageClear.Options...) - Method in class org.tensorflow.op.Ops: Op removes all elements in the underlying container.
StageClear - Class in org.tensorflow.op.core: Op removes all elements in the underlying container.
StageClear(Operation) - Constructor for class org.tensorflow.op.core.StageClear
StageClear.Inputs - Class in org.tensorflow.op.core
StageClear.Options - Class in org.tensorflow.op.core: Optional attributes for StageClear
stagePeek(Operand, List, StagePeek.Options...) - Method in class org.tensorflow.op.Ops: Op peeks at the values at the specified index.
StagePeek - Class in org.tensorflow.op.core: Op peeks at the values at the specified index.
StagePeek(Operation) - Constructor for class org.tensorflow.op.core.StagePeek
StagePeek.Inputs - Class in org.tensorflow.op.core
StagePeek.Options - Class in org.tensorflow.op.core: Optional attributes for StagePeek
stageSize(List, StageSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of elements in the underlying container.
StageSize - Class in org.tensorflow.op.core: Op returns the number of elements in the underlying container.
StageSize(Operation) - Constructor for class org.tensorflow.op.core.StageSize
StageSize.Inputs - Class in org.tensorflow.op.core
StageSize.Options - Class in org.tensorflow.op.core: Optional attributes for StageSize
start - Variable in class org.tensorflow.op.core.For.Inputs: The lower bound.
start - Variable in class org.tensorflow.op.core.LinSpace.Inputs: 0-D tensor.
start - Variable in class org.tensorflow.op.core.Range.Inputs: 0-D (scalar).
start - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: corresponds to start in python's xrange().
start - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 1-D. tensor represents the start of the slice.
start() - Method in class org.tensorflow.Server: Starts an in-process TensorFlow server.
START - Enum constant in enum org.tensorflow.proto.SessionLog.SessionStatus: START = 1;
START_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorSliceProto.Extent
START_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TestResults
START_TIMESTAMP_NS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
START_VALUE - Static variable in enum org.tensorflow.proto.SessionLog.SessionStatus: START = 1;
startIndex - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The startIndex input
starts - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The starts of each range.
STAT_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XPlane
state - Variable in class org.tensorflow.op.io.ReaderRestoreState.Inputs: Result of a ReaderSerializeState of a Reader with type matching reader_handle.
state() - Method in class org.tensorflow.op.io.ReaderSerializeState: Gets state.
STATE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
statefulCase(Operand, Iterable, List, List, Case.Options...) - Method in class org.tensorflow.op.Ops: An n-way switch statement which calls a single branch function.
StatefulCase - Class in org.tensorflow.op.core: An n-way switch statement which calls a single branch function.
StatefulCase(Operation) - Constructor for class org.tensorflow.op.core.StatefulCase
StatefulCase.Inputs - Class in org.tensorflow.op.core
statefulIf(Operand, Iterable, List, ConcreteFunction, ConcreteFunction, If.Options...) - Method in class org.tensorflow.op.Ops: output = cond ?
StatefulIf - Class in org.tensorflow.op.core: output = cond ?
StatefulIf(Operation) - Constructor for class org.tensorflow.op.core.StatefulIf
StatefulIf.Inputs - Class in org.tensorflow.op.core
statefulPartitionedCall(Iterable, List, ConcreteFunction, StatefulPartitionedCall.Options...) - Method in class org.tensorflow.op.Ops: returns f(inputs), where f's body is placed and partitioned.
StatefulPartitionedCall - Class in org.tensorflow.op.core: returns f(inputs), where f's body is placed and partitioned.
StatefulPartitionedCall(Operation) - Constructor for class org.tensorflow.op.core.StatefulPartitionedCall
StatefulPartitionedCall.Inputs - Class in org.tensorflow.op.core
StatefulPartitionedCall.Options - Class in org.tensorflow.op.core: Optional attributes for StatefulPartitionedCall
statefulRandomBinomial(Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: The StatefulRandomBinomial operation
statefulRandomBinomial(Operand, Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: The StatefulRandomBinomial operation
StatefulRandomBinomial<V> - Class in org.tensorflow.op.random: The StatefulRandomBinomial operation
StatefulRandomBinomial(Operation) - Constructor for class org.tensorflow.op.random.StatefulRandomBinomial
StatefulRandomBinomial.Inputs - Class in org.tensorflow.op.random
statefulStandardNormal(Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a normal distribution.
statefulStandardNormal(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a normal distribution.
StatefulStandardNormal - Class in org.tensorflow.op.random: Outputs random values from a normal distribution.
StatefulStandardNormal(Operation) - Constructor for class org.tensorflow.op.random.StatefulStandardNormal
StatefulStandardNormal.Inputs - Class in org.tensorflow.op.random
statefulTruncatedNormal(Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a truncated normal distribution.
statefulTruncatedNormal(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a truncated normal distribution.
StatefulTruncatedNormal - Class in org.tensorflow.op.random: Outputs random values from a truncated normal distribution.
StatefulTruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.StatefulTruncatedNormal
StatefulTruncatedNormal.Inputs - Class in org.tensorflow.op.random
statefulUniform(Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a uniform distribution.
statefulUniform(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a uniform distribution.
StatefulUniform - Class in org.tensorflow.op.random: Outputs random values from a uniform distribution.
StatefulUniform(Operation) - Constructor for class org.tensorflow.op.random.StatefulUniform
StatefulUniform.Inputs - Class in org.tensorflow.op.random
statefulUniformFullInt(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs random integers from a uniform distribution.
StatefulUniformFullInt - Class in org.tensorflow.op.random: Outputs random integers from a uniform distribution.
StatefulUniformFullInt(Operation) - Constructor for class org.tensorflow.op.random.StatefulUniformFullInt
StatefulUniformFullInt.Inputs - Class in org.tensorflow.op.random
statefulUniformInt(Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs random integers from a uniform distribution.
StatefulUniformInt - Class in org.tensorflow.op.random: Outputs random integers from a uniform distribution.
StatefulUniformInt(Operation) - Constructor for class org.tensorflow.op.random.StatefulUniformInt
StatefulUniformInt.Inputs - Class in org.tensorflow.op.random
statefulWhile(Iterable, ConcreteFunction, ConcreteFunction, While.Options...) - Method in class org.tensorflow.op.Ops: output = input; While (Cond(output)) { output = Body(output) }
StatefulWhile - Class in org.tensorflow.op.core: output = input; While (Cond(output)) { output = Body(output) }
StatefulWhile(Operation) - Constructor for class org.tensorflow.op.core.StatefulWhile
StatefulWhile.Inputs - Class in org.tensorflow.op.core
statelessCase(Operand, Iterable, List, List, Case.Options...) - Method in class org.tensorflow.op.Ops: An n-way switch statement which calls a single branch function.
StatelessCase - Class in org.tensorflow.op.core: An n-way switch statement which calls a single branch function.
StatelessCase(Operation) - Constructor for class org.tensorflow.op.core.StatelessCase
StatelessCase.Inputs - Class in org.tensorflow.op.core
statelessIf(Operand, Iterable, List, ConcreteFunction, ConcreteFunction, If.Options...) - Method in class org.tensorflow.op.Ops: output = cond ?
StatelessIf - Class in org.tensorflow.op.core: output = cond ?
StatelessIf(Operation) - Constructor for class org.tensorflow.op.core.StatelessIf
StatelessIf.Inputs - Class in org.tensorflow.op.core
statelessMultinomial(Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Draws samples from a multinomial distribution.
statelessMultinomial(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Draws samples from a multinomial distribution.
StatelessMultinomial<V> - Class in org.tensorflow.op.random: Draws samples from a multinomial distribution.
StatelessMultinomial(Operation) - Constructor for class org.tensorflow.op.random.StatelessMultinomial
StatelessMultinomial.Inputs - Class in org.tensorflow.op.random
statelessParameterizedTruncatedNormal(Operand, Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: The StatelessParameterizedTruncatedNormal operation
StatelessParameterizedTruncatedNormal<V> - Class in org.tensorflow.op.random: The StatelessParameterizedTruncatedNormal operation
StatelessParameterizedTruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal
StatelessParameterizedTruncatedNormal.Inputs<V> - Class in org.tensorflow.op.random
statelessRandomBinomial(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random numbers from a binomial distribution.
statelessRandomBinomial(Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random numbers from a binomial distribution.
StatelessRandomBinomial<W> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random numbers from a binomial distribution.
StatelessRandomBinomial(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomBinomial
StatelessRandomBinomial.Inputs<V> - Class in org.tensorflow.op.random
statelessRandomGamma(Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random numbers from a gamma distribution.
StatelessRandomGamma - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random numbers from a gamma distribution.
StatelessRandomGamma(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomGamma
StatelessRandomGamma.Inputs - Class in org.tensorflow.op.random
statelessRandomGetAlg() - Method in class org.tensorflow.op.RandomOps: Picks the best counter-based RNG algorithm based on device.
StatelessRandomGetAlg - Class in org.tensorflow.op.random: Picks the best counter-based RNG algorithm based on device.
StatelessRandomGetAlg(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetAlg
StatelessRandomGetAlg.Inputs - Class in org.tensorflow.op.random
statelessRandomGetKeyCounter(Operand) - Method in class org.tensorflow.op.RandomOps: Scrambles seed into key and counter, using the best algorithm based on device.
StatelessRandomGetKeyCounter - Class in org.tensorflow.op.random: Scrambles seed into key and counter, using the best algorithm based on device.
StatelessRandomGetKeyCounter(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetKeyCounter
StatelessRandomGetKeyCounter.Inputs - Class in org.tensorflow.op.random
statelessRandomGetKeyCounterAlg(Operand) - Method in class org.tensorflow.op.RandomOps: Picks the best algorithm based on device, and scrambles seed into key and counter.
StatelessRandomGetKeyCounterAlg - Class in org.tensorflow.op.random: Picks the best algorithm based on device, and scrambles seed into key and counter.
StatelessRandomGetKeyCounterAlg(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg
StatelessRandomGetKeyCounterAlg.Inputs - Class in org.tensorflow.op.random
statelessRandomNormal(Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a normal distribution.
statelessRandomNormal(Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a normal distribution.
StatelessRandomNormal<V> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom values from a normal distribution.
StatelessRandomNormal(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomNormal
StatelessRandomNormal.Inputs - Class in org.tensorflow.op.random
statelessRandomNormalV2(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a normal distribution.
statelessRandomNormalV2(Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a normal distribution.
StatelessRandomNormalV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom values from a normal distribution.
StatelessRandomNormalV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomNormalV2
StatelessRandomNormalV2.Inputs - Class in org.tensorflow.op.random
statelessRandomPoisson(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random numbers from a Poisson distribution.
StatelessRandomPoisson<W> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random numbers from a Poisson distribution.
StatelessRandomPoisson(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomPoisson
StatelessRandomPoisson.Inputs - Class in org.tensorflow.op.random
statelessRandomUniform(Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random values from a uniform distribution.
statelessRandomUniform(Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random values from a uniform distribution.
StatelessRandomUniform<V> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random values from a uniform distribution.
StatelessRandomUniform(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniform
StatelessRandomUniform.Inputs - Class in org.tensorflow.op.random
statelessRandomUniformFullInt(Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformFullInt<V> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformFullInt(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformFullInt
StatelessRandomUniformFullInt.Inputs - Class in org.tensorflow.op.random
statelessRandomUniformFullIntV2(Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformFullIntV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformFullIntV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformFullIntV2
StatelessRandomUniformFullIntV2.Inputs - Class in org.tensorflow.op.random
statelessRandomUniformInt(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformInt<V> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformInt(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformInt
StatelessRandomUniformInt.Inputs<V> - Class in org.tensorflow.op.random
statelessRandomUniformIntV2(Operand, Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformIntV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformIntV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformIntV2
StatelessRandomUniformIntV2.Inputs - Class in org.tensorflow.op.random
statelessRandomUniformV2(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random values from a uniform distribution.
statelessRandomUniformV2(Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random values from a uniform distribution.
StatelessRandomUniformV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random values from a uniform distribution.
StatelessRandomUniformV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformV2
StatelessRandomUniformV2.Inputs - Class in org.tensorflow.op.random
statelessSampleDistortedBoundingBox(Operand, Operand, Operand, Operand, StatelessSampleDistortedBoundingBox.Options...) - Method in class org.tensorflow.op.ImageOps: Generate a randomly distorted bounding box for an image deterministically.
StatelessSampleDistortedBoundingBox<T> - Class in org.tensorflow.op.image: Generate a randomly distorted bounding box for an image deterministically.
StatelessSampleDistortedBoundingBox(Operation) - Constructor for class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox
StatelessSampleDistortedBoundingBox.Inputs<T> - Class in org.tensorflow.op.image
StatelessSampleDistortedBoundingBox.Options - Class in org.tensorflow.op.image: Optional attributes for StatelessSampleDistortedBoundingBox
statelessShuffle(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomExperimentalOps: Randomly and deterministically shuffles a tensor along its first dimension.
StatelessShuffle<T> - Class in org.tensorflow.op.random.experimental: Randomly and deterministically shuffles a tensor along its first dimension.
StatelessShuffle(Operation) - Constructor for class org.tensorflow.op.random.experimental.StatelessShuffle
StatelessShuffle.Inputs<T> - Class in org.tensorflow.op.random.experimental
statelessTruncatedNormal(Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a truncated normal distribution.
statelessTruncatedNormal(Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a truncated normal distribution.
StatelessTruncatedNormal<V> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom values from a truncated normal distribution.
StatelessTruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.StatelessTruncatedNormal
StatelessTruncatedNormal.Inputs - Class in org.tensorflow.op.random
statelessTruncatedNormalV2(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a truncated normal distribution.
statelessTruncatedNormalV2(Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a truncated normal distribution.
StatelessTruncatedNormalV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom values from a truncated normal distribution.
StatelessTruncatedNormalV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessTruncatedNormalV2
StatelessTruncatedNormalV2.Inputs - Class in org.tensorflow.op.random
statelessWhile(Iterable, ConcreteFunction, ConcreteFunction, While.Options...) - Method in class org.tensorflow.op.Ops: output = input; While (Cond(output)) { output = Body(output) }
StatelessWhile - Class in org.tensorflow.op.core: output = input; While (Cond(output)) { output = Body(output) }
StatelessWhile(Operation) - Constructor for class org.tensorflow.op.core.StatelessWhile
StatelessWhile.Inputs - Class in org.tensorflow.op.core
staticRegexFullMatch(Operand, String) - Method in class org.tensorflow.op.StringsOps: Check if the input matches the regex pattern.
StaticRegexFullMatch - Class in org.tensorflow.op.strings: Check if the input matches the regex pattern.
StaticRegexFullMatch(Operation) - Constructor for class org.tensorflow.op.strings.StaticRegexFullMatch
StaticRegexFullMatch.Inputs - Class in org.tensorflow.op.strings
staticRegexReplace(Operand, String, String, StaticRegexReplace.Options...) - Method in class org.tensorflow.op.StringsOps: Replaces the match of pattern in input with rewrite.
StaticRegexReplace - Class in org.tensorflow.op.strings: Replaces the match of pattern in input with rewrite.
StaticRegexReplace(Operation) - Constructor for class org.tensorflow.op.strings.StaticRegexReplace
StaticRegexReplace.Inputs - Class in org.tensorflow.op.strings
StaticRegexReplace.Options - Class in org.tensorflow.op.strings: Optional attributes for StaticRegexReplace
STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XEvent
STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XPlane
statsAggregator - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The statsAggregator input
statsAggregator - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The statsAggregator input
statsAggregator - Variable in class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter.Inputs: The statsAggregator input
statsAggregatorHandle(StatsAggregatorHandle.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a statistics manager resource.
statsAggregatorHandle(StatsAggregatorHandle.Options...) - Method in class org.tensorflow.op.DataOps: The StatsAggregatorHandleV2 operation
StatsAggregatorHandle - Class in org.tensorflow.op.data.experimental: Creates a statistics manager resource.
StatsAggregatorHandle - Class in org.tensorflow.op.data: The StatsAggregatorHandleV2 operation
StatsAggregatorHandle(Operation) - Constructor for class org.tensorflow.op.data.experimental.StatsAggregatorHandle
StatsAggregatorHandle(Operation) - Constructor for class org.tensorflow.op.data.StatsAggregatorHandle
StatsAggregatorHandle.Inputs - Class in org.tensorflow.op.data.experimental
StatsAggregatorHandle.Inputs - Class in org.tensorflow.op.data
StatsAggregatorHandle.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for StatsAggregatorHandle
StatsAggregatorHandle.Options - Class in org.tensorflow.op.data: Optional attributes for StatsAggregatorHandle
statsAggregatorSetSummaryWriter(Operand, Operand) - Method in class org.tensorflow.op.DataOps: Set a summary_writer_interface to record statistics using given stats_aggregator.
StatsAggregatorSetSummaryWriter - Class in org.tensorflow.op.data: Set a summary_writer_interface to record statistics using given stats_aggregator.
StatsAggregatorSetSummaryWriter(Operation) - Constructor for class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter
StatsAggregatorSetSummaryWriter.Inputs - Class in org.tensorflow.op.data
statsAggregatorSummary(Operand) - Method in class org.tensorflow.op.DataExperimentalOps: Produces a summary of any statistics recorded by the given statistics manager.
statsAggregatorSummary(Operand) - Method in class org.tensorflow.op.SummaryOps: Produces a summary of any statistics recorded by the given statistics manager.
StatsAggregatorSummary - Class in org.tensorflow.op.data.experimental: Produces a summary of any statistics recorded by the given statistics manager.
StatsAggregatorSummary - Class in org.tensorflow.op.summary: Produces a summary of any statistics recorded by the given statistics manager.
StatsAggregatorSummary(Operation) - Constructor for class org.tensorflow.op.data.experimental.StatsAggregatorSummary
StatsAggregatorSummary(Operation) - Constructor for class org.tensorflow.op.summary.StatsAggregatorSummary
StatsAggregatorSummary.Inputs - Class in org.tensorflow.op.data.experimental
StatsAggregatorSummary.Inputs - Class in org.tensorflow.op.summary
status - Variable in class org.tensorflow.internal.c_api.AbstractTF_Session
Status - Class in org.tensorflow.proto.dummy
Status - Class in org.tensorflow.proto
STATUS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SessionLog
STATUS_UNSPECIFIED - Enum constant in enum org.tensorflow.proto.SessionLog.SessionStatus: STATUS_UNSPECIFIED = 0;
STATUS_UNSPECIFIED_VALUE - Static variable in enum org.tensorflow.proto.SessionLog.SessionStatus: STATUS_UNSPECIFIED = 0;
StatusProto - Class in org.tensorflow.proto: Wire-format for Status.
StatusProto.Builder - Class in org.tensorflow.proto: Wire-format for Status.
StatusProtoOrBuilder - Interface in org.tensorflow.proto
STDDEV_DEFAULT - Static variable in class org.tensorflow.framework.initializers.RandomNormal
STDDEV_DEFAULT - Static variable in class org.tensorflow.framework.initializers.TruncatedNormal
stddevs - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The standard deviation parameter of each batch.
stdevs - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The standard deviation parameter of each batch.
step - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: corresponds to step in python's xrange().
step - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteGraphSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteRawProtoSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The step input
STEP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugEvent
STEP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Event
STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.MemChunk
STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogRawAllocation
STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogRawDeallocation
STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogStep
STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogTensorAllocation
STEP_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogTensorOutput
STEP_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunMetadata
stepMarkerLocation - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The stepMarkerLocation attribute
stepMarkerLocation - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The stepMarkerLocation attribute
stepMarkerLocation(String) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the stepMarkerLocation option.
stepMarkerLocation(String) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the stepMarkerLocation option.
stepMarkerLocation(String) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the stepMarkerLocation option.
stepMarkerLocation(String) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the stepMarkerLocation option.
StepStats - Class in org.tensorflow.proto: Protobuf type tensorflow.StepStats
StepStats.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.StepStats
StepStatsOrBuilder - Interface in org.tensorflow.proto
StepStatsProtos - Class in org.tensorflow.proto
stochasticCastToInt(Operand, Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Stochastically cast a given tensor from floats to ints.
StochasticCastToInt - Class in org.tensorflow.op.core: Stochastically cast a given tensor from floats to ints.
StochasticCastToInt(Operation) - Constructor for class org.tensorflow.op.core.StochasticCastToInt
StochasticCastToInt.Inputs - Class in org.tensorflow.op.core
stop - Variable in class org.tensorflow.op.core.LinSpace.Inputs: 0-D tensor.
stop - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: corresponds to stop in python's xrange().
stop() - Method in class org.tensorflow.Server: Stops an in-process TensorFlow server.
STOP - Enum constant in enum org.tensorflow.proto.SessionLog.SessionStatus: STOP = 2;
STOP_VALUE - Static variable in enum org.tensorflow.proto.SessionLog.SessionStatus: STOP = 2;
stopGradient(Operand) - Method in class org.tensorflow.op.Ops: Stops gradient computation.
StopGradient<T> - Class in org.tensorflow.op.core: Stops gradient computation.
StopGradient(Operation) - Constructor for class org.tensorflow.op.core.StopGradient
StopGradient.Inputs<T> - Class in org.tensorflow.op.core
stopOnEmptyDataset - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: The stopOnEmptyDataset attribute
stopOnEmptyDataset(Boolean) - Method in class org.tensorflow.op.data.DirectedInterleaveDataset.Options: Sets the stopOnEmptyDataset option.
stopOnEmptyDataset(Boolean) - Static method in class org.tensorflow.op.data.DirectedInterleaveDataset: Sets the stopOnEmptyDataset option.
storeMinibatchStatisticsInFdo(Operand, Operand, Operand, Long, Long, Long, Long, String, String) - Method in class org.tensorflow.op.TpuOps: The StoreMinibatchStatisticsInFdo operation
StoreMinibatchStatisticsInFdo - Class in org.tensorflow.op.tpu: The StoreMinibatchStatisticsInFdo operation
StoreMinibatchStatisticsInFdo(Operation) - Constructor for class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo
StoreMinibatchStatisticsInFdo.Inputs - Class in org.tensorflow.op.tpu
str() - Method in class org.tensorflow.internal.c_api.TF_TString_Small
str(int) - Method in class org.tensorflow.internal.c_api.TF_TString_Small
str(int, byte) - Method in class org.tensorflow.internal.c_api.TF_TString_Small
STR_VALUE - Enum constant in enum org.tensorflow.proto.profiler.Xplane.XStat.ValueCase
STR_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XStat
STREAM_MERGE_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
STREAM_MERGE_THRESHOLD_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
STRENGTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.InterconnectLink
stride - Variable in class org.tensorflow.op.audio.AudioSpectrogram.Inputs: How widely apart the center of adjacent sample windows should be.
stride - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: An integer scalar, representing the stride of the input elements in the sliding window.
stridedSlice(Scope, Operand, Index...) - Static method in class org.tensorflow.op.core.StridedSliceHelper: Return a strided slice from `input`.
stridedSlice(Operand, Index...) - Method in class org.tensorflow.op.Ops: Return a strided slice from `input`.
stridedSlice(Operand, Operand, Operand, Operand, StridedSlice.Options...) - Method in class org.tensorflow.op.Ops: Return a strided slice from input.
StridedSlice<T> - Class in org.tensorflow.op.core: Return a strided slice from input.
StridedSlice(Operation) - Constructor for class org.tensorflow.op.core.StridedSlice
StridedSlice.Inputs<T,U> - Class in org.tensorflow.op.core
StridedSlice.Options - Class in org.tensorflow.op.core: Optional attributes for StridedSlice
stridedSliceAssign(Scope, Operand, Operand, Index...) - Static method in class org.tensorflow.op.core.StridedSliceHelper: Assign `value` to the sliced l-value reference of `ref`.
stridedSliceAssign(Operand, Operand, Index...) - Method in class org.tensorflow.op.Ops: Assign `value` to the sliced l-value reference of `ref`.
stridedSliceAssign(Operand, Operand, Operand, Operand, Operand, StridedSliceAssign.Options...) - Method in class org.tensorflow.op.Ops: Assign value to the sliced l-value reference of ref.
StridedSliceAssign<T> - Class in org.tensorflow.op.core: Assign value to the sliced l-value reference of ref.
StridedSliceAssign(Operation) - Constructor for class org.tensorflow.op.core.StridedSliceAssign
StridedSliceAssign.Inputs<T,U> - Class in org.tensorflow.op.core
StridedSliceAssign.Options - Class in org.tensorflow.op.core: Optional attributes for StridedSliceAssign
stridedSliceGrad(Operand, Operand, Operand, Operand, Operand, StridedSliceGrad.Options...) - Method in class org.tensorflow.op.Ops: Returns the gradient of StridedSlice.
StridedSliceGrad - Class in org.tensorflow.op.core: Returns the gradient of StridedSlice.
StridedSliceGrad(Operation) - Constructor for class org.tensorflow.op.core.StridedSliceGrad
StridedSliceGrad.Inputs<T,U> - Class in org.tensorflow.op.core
StridedSliceGrad.Options - Class in org.tensorflow.op.core: Optional attributes for StridedSliceGrad
StridedSliceHelper - Class in org.tensorflow.op.core: Helper endpoint methods for Python like indexing.
StridedSliceHelper() - Constructor for class org.tensorflow.op.core.StridedSliceHelper
strides - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: 1-D of length 5.
strides - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The strides input
strides - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: strides[i] specifies the increment in the ith specification after extracting a given element.
strides - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The strides input
strides - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The strides input
strides - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The strides input
strides - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: How far the centers of two consecutive patches are in the images.
strides - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: The stride of the sliding window for each dimension of value.
strides - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: The stride of the sliding window for each dimension of the input.
strides - Variable in class org.tensorflow.op.nn.Conv.Inputs: 1-D tensor of length N+2.
strides - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: 1-D tensor of length 4.
strides - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: list of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: List of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: List of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: List of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: List of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The stride of the sliding window for each dimension of the input tensor.
String - Static variable in class org.tensorflow.generator.op.Names
STRING_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
STRING_VALUE - Enum constant in enum org.tensorflow.proto.EntryValue.KindCase
STRING_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
STRING_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.EntryValue
STRING_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
stringFormat(Iterable, StringFormat.Options...) - Method in class org.tensorflow.op.StringsOps: Formats a string template using a list of tensors.
StringFormat - Class in org.tensorflow.op.strings: Formats a string template using a list of tensors.
StringFormat(Operation) - Constructor for class org.tensorflow.op.strings.StringFormat
StringFormat.Inputs - Class in org.tensorflow.op.strings
StringFormat.Options - Class in org.tensorflow.op.strings: Optional attributes for StringFormat
stringHandle - Variable in class org.tensorflow.op.data.IteratorFromStringHandle.Inputs: The stringHandle input
stringHandle - Variable in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Inputs: String representing the resource.
stringHandle() - Method in class org.tensorflow.op.data.IteratorToStringHandle: Gets stringHandle.
stringHandle() - Method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle: Gets stringHandle.
stringLength(Operand, StringLength.Options...) - Method in class org.tensorflow.op.StringsOps: String lengths of input.
StringLength - Class in org.tensorflow.op.strings: String lengths of input.
StringLength(Operation) - Constructor for class org.tensorflow.op.strings.StringLength
StringLength.Inputs - Class in org.tensorflow.op.strings
StringLength.Options - Class in org.tensorflow.op.strings: Optional attributes for StringLength
stringNGrams(Operand, Operand, String, List, String, String, Long, Boolean) - Method in class org.tensorflow.op.StringsOps: Creates ngrams from ragged string data.
StringNGrams<T> - Class in org.tensorflow.op.strings: Creates ngrams from ragged string data.
StringNGrams(Operation) - Constructor for class org.tensorflow.op.strings.StringNGrams
StringNGrams.Inputs<T> - Class in org.tensorflow.op.strings
strings - Variable in class org.tensorflow.op.Ops
StringsOps - Class in org.tensorflow.op: An API for building strings operations as Ops
stringSplit(Operand, Operand, StringSplit.Options...) - Method in class org.tensorflow.op.StringsOps: Split elements of source based on sep into a SparseTensor.
StringSplit - Class in org.tensorflow.op.strings: Split elements of source based on sep into a SparseTensor.
StringSplit(Operation) - Constructor for class org.tensorflow.op.strings.StringSplit
StringSplit.Inputs - Class in org.tensorflow.op.strings
StringSplit.Options - Class in org.tensorflow.op.strings: Optional attributes for StringSplit
stringTensor - Variable in class org.tensorflow.op.strings.ToHashBucket.Inputs: The stringTensor input
stringTensor - Variable in class org.tensorflow.op.strings.ToNumber.Inputs: The stringTensor input
strip(Operand) - Method in class org.tensorflow.op.StringsOps: Strip leading and trailing whitespaces from the Tensor.
Strip - Class in org.tensorflow.op.strings: Strip leading and trailing whitespaces from the Tensor.
Strip(Operation) - Constructor for class org.tensorflow.op.strings.Strip
Strip.Inputs - Class in org.tensorflow.op.strings
stripDeviceAssignment - Variable in class org.tensorflow.op.data.DatasetToGraph.Inputs: The stripDeviceAssignment attribute
stripDeviceAssignment(Boolean) - Method in class org.tensorflow.op.data.DatasetToGraph.Options: Sets the stripDeviceAssignment option.
stripDeviceAssignment(Boolean) - Static method in class org.tensorflow.op.data.DatasetToGraph: Sets the stripDeviceAssignment option.
STRIPPED_DEFAULT_ATTRS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
STRIPPED_OP_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
strongHash - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: boolean, if true, siphash with salt will be used instead of farmhash.
Struct - Class in org.tensorflow.proto
struct_size() - Method in class org.tensorflow.internal.c_api.TF_AllocatorAttributes
struct_size(long) - Method in class org.tensorflow.internal.c_api.TF_AllocatorAttributes
Struct.BoundedTensorSpecProto - Class in org.tensorflow.proto: A protobuf to represent tf.BoundedTensorSpec.
Struct.BoundedTensorSpecProto.Builder - Class in org.tensorflow.proto: A protobuf to represent tf.BoundedTensorSpec.
Struct.BoundedTensorSpecProtoOrBuilder - Interface in org.tensorflow.proto
Struct.DictValue - Class in org.tensorflow.proto: Represents a Python dict keyed by `str`.
Struct.DictValue.Builder - Class in org.tensorflow.proto: Represents a Python dict keyed by `str`.
Struct.DictValueOrBuilder - Interface in org.tensorflow.proto
Struct.ListValue - Class in org.tensorflow.proto: Represents a Python list.
Struct.ListValue.Builder - Class in org.tensorflow.proto: Represents a Python list.
Struct.ListValueOrBuilder - Interface in org.tensorflow.proto
Struct.NamedTupleValue - Class in org.tensorflow.proto: Represents Python's namedtuple.
Struct.NamedTupleValue.Builder - Class in org.tensorflow.proto: Represents Python's namedtuple.
Struct.NamedTupleValueOrBuilder - Interface in org.tensorflow.proto
Struct.NoneValue - Class in org.tensorflow.proto: Represents None.
Struct.NoneValue.Builder - Class in org.tensorflow.proto: Represents None.
Struct.NoneValueOrBuilder - Interface in org.tensorflow.proto
Struct.PairValue - Class in org.tensorflow.proto: Represents a (key, value) pair.
Struct.PairValue.Builder - Class in org.tensorflow.proto: Represents a (key, value) pair.
Struct.PairValueOrBuilder - Interface in org.tensorflow.proto
Struct.StructuredValue - Class in org.tensorflow.proto: `StructuredValue` represents a dynamically typed value representing various data structures that are inspired by Python data structures typically used in TensorFlow functions as inputs and outputs.
Struct.StructuredValue.Builder - Class in org.tensorflow.proto: `StructuredValue` represents a dynamically typed value representing various data structures that are inspired by Python data structures typically used in TensorFlow functions as inputs and outputs.
Struct.StructuredValue.KindCase - Enum in org.tensorflow.proto
Struct.StructuredValueOrBuilder - Interface in org.tensorflow.proto
Struct.TensorSpecProto - Class in org.tensorflow.proto: A protobuf to represent tf.TensorSpec.
Struct.TensorSpecProto.Builder - Class in org.tensorflow.proto: A protobuf to represent tf.TensorSpec.
Struct.TensorSpecProtoOrBuilder - Interface in org.tensorflow.proto
Struct.TupleValue - Class in org.tensorflow.proto: Represents a Python tuple.
Struct.TupleValue.Builder - Class in org.tensorflow.proto: Represents a Python tuple.
Struct.TupleValueOrBuilder - Interface in org.tensorflow.proto
Struct.TypeSpecProto - Class in org.tensorflow.proto: Represents a tf.TypeSpec
Struct.TypeSpecProto.Builder - Class in org.tensorflow.proto: Represents a tf.TypeSpec
Struct.TypeSpecProto.TypeSpecClass - Enum in org.tensorflow.proto: Protobuf enum tensorflow.TypeSpecProto.TypeSpecClass
Struct.TypeSpecProtoOrBuilder - Interface in org.tensorflow.proto
STRUCTURE_VERIFIER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VerifierConfig
sub(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns x - y element-wise.
Sub<T> - Class in org.tensorflow.op.math: Returns x - y element-wise.
Sub(Operation) - Constructor for class org.tensorflow.op.math.Sub
Sub.Inputs<T> - Class in org.tensorflow.op.math
subdiag - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: Tensor of shape [..., 1, M], representing subdiagonals of tri-diagonal matrices to the left of multiplication.
subgraphFrom(Set) - Method in class org.tensorflow.Graph: Get all ops that use one of inputs directly or indirectly (not including inputs), including control dependencies.
subgraphFromOps(Set) - Method in class org.tensorflow.Graph: Get all ops that use one of inputs directly or indirectly (not including inputs), including control dependencies.
subgraphTo(Set) - Method in class org.tensorflow.Graph: Get all ops directly or indirectly required to calculate outputs (not including outputs), including control dependencies.
subgraphToOps(Set) - Method in class org.tensorflow.Graph: Get all ops directly or indirectly required to calculate outputs (not including outputs), including control dependencies.
subsample - Variable in class org.tensorflow.op.core.Skipgram.Inputs: Threshold for word occurrence.
subsample(Float) - Method in class org.tensorflow.op.core.Skipgram.Options: Sets the subsample option.
subsample(Float) - Static method in class org.tensorflow.op.core.Skipgram: Sets the subsample option.
substr(Operand, Operand, Operand, Substr.Options...) - Method in class org.tensorflow.op.StringsOps: Return substrings from Tensor of strings.
Substr - Class in org.tensorflow.op.strings: Return substrings from Tensor of strings.
Substr(Operation) - Constructor for class org.tensorflow.op.strings.Substr
Substr.Inputs<T> - Class in org.tensorflow.op.strings
Substr.Options - Class in org.tensorflow.op.strings: Optional attributes for Substr
success() - Method in class org.tensorflow.op.tpu.ShutdownTPUSystem: Gets success.
sum() - Method in class org.tensorflow.op.math.AccumulateN: Gets sum.
sum() - Method in class org.tensorflow.op.math.AddN: Gets sum.
sum(Operand, Operand, Sum.Options...) - Method in class org.tensorflow.op.Ops: Computes the sum of elements across dimensions of a tensor.
Sum<T> - Class in org.tensorflow.framework.metrics: Computes the (weighted) sum of the given values.
Sum<T> - Class in org.tensorflow.op.core: Computes the sum of elements across dimensions of a tensor.
Sum(long, Class) - Constructor for class org.tensorflow.framework.metrics.Sum: Creates a Sum metric with a name of Class.getSimpleName()
Sum(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.Sum: Creates a Sum metric.
Sum(Operation) - Constructor for class org.tensorflow.op.core.Sum
SUM - Enum constant in enum org.tensorflow.framework.losses.Reduction
SUM - Enum constant in enum org.tensorflow.framework.metrics.MetricReduction: Scalar sum of weighted values.
SUM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.HistogramProto
SUM_OVER_BATCH_SIZE - Enum constant in enum org.tensorflow.framework.losses.Reduction
SUM_OVER_BATCH_SIZE - Enum constant in enum org.tensorflow.framework.metrics.MetricReduction: Scalar sum of weighted values divided by number of elements.
SUM_SQUARES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.HistogramProto
Sum.Inputs<T> - Class in org.tensorflow.op.core
Sum.Options - Class in org.tensorflow.op.core: Optional attributes for Sum
sumIndices - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: 2-D.
sumIndices() - Method in class org.tensorflow.op.sparse.SparseAdd: Gets sumIndices.
summand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The summand input
summand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The summand input
summand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The summand input
summarize - Variable in class org.tensorflow.op.core.AssertThat.Inputs: Print this many entries of each tensor.
summarize - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: When formatting the tensor summaries print the first and last summarize entries of each tensor dimension.
summarize() - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle
summarize(Long) - Method in class org.tensorflow.op.core.AssertThat.Options: Sets the summarize option.
summarize(Long) - Static method in class org.tensorflow.op.core.AssertThat: Sets the summarize option.
summarize(Long) - Method in class org.tensorflow.op.strings.StringFormat.Options: Sets the summarize option.
summarize(Long) - Static method in class org.tensorflow.op.strings.StringFormat: Sets the summarize option.
summarize(TFE_CustomDeviceTensorHandle.Summarize_Pointer_TF_Status) - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle
Summarize_Pointer_TF_Status() - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle.Summarize_Pointer_TF_Status
Summarize_Pointer_TF_Status(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle.Summarize_Pointer_TF_Status: Pointer cast constructor.
summary - Variable in class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter.Inputs: The summary input
summary - Variable in class org.tensorflow.op.Ops
summary() - Method in class org.tensorflow.op.data.experimental.StatsAggregatorSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.AudioSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.HistogramSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.ImageSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.MergeSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.ScalarSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.StatsAggregatorSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.TensorSummary: Gets summary.
Summary - Class in org.tensorflow.proto: A Summary is a set of named values to be displayed by the visualizer.
SUMMARY - Enum constant in enum org.tensorflow.proto.Event.WhatCase
SUMMARY_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SummaryMetadata
SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Event
SUMMARY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef
Summary.Audio - Class in org.tensorflow.proto: Protobuf type tensorflow.Summary.Audio
Summary.Audio.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.Summary.Audio
Summary.AudioOrBuilder - Interface in org.tensorflow.proto
Summary.Builder - Class in org.tensorflow.proto: A Summary is a set of named values to be displayed by the visualizer.
Summary.Image - Class in org.tensorflow.proto: Protobuf type tensorflow.Summary.Image
Summary.Image.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.Summary.Image
Summary.ImageOrBuilder - Interface in org.tensorflow.proto
Summary.Value - Class in org.tensorflow.proto: Protobuf type tensorflow.Summary.Value
Summary.Value.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.Summary.Value
Summary.Value.ValueCase - Enum in org.tensorflow.proto
Summary.ValueOrBuilder - Interface in org.tensorflow.proto
SummaryDescription - Class in org.tensorflow.proto: Metadata associated with a series of Summary data
SummaryDescription.Builder - Class in org.tensorflow.proto: Metadata associated with a series of Summary data
SummaryDescriptionOrBuilder - Interface in org.tensorflow.proto
summaryMetadata - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The summaryMetadata input
SummaryMetadata - Class in org.tensorflow.proto: A SummaryMetadata encapsulates information on which plugins are able to make use of a certain summary value.
SummaryMetadata.Builder - Class in org.tensorflow.proto: A SummaryMetadata encapsulates information on which plugins are able to make use of a certain summary value.
SummaryMetadata.PluginData - Class in org.tensorflow.proto: Protobuf type tensorflow.SummaryMetadata.PluginData
SummaryMetadata.PluginData.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.SummaryMetadata.PluginData
SummaryMetadata.PluginDataOrBuilder - Interface in org.tensorflow.proto
SummaryMetadataOrBuilder - Interface in org.tensorflow.proto
SummaryOps - Class in org.tensorflow.op: An API for building summary operations as Ops
SummaryOrBuilder - Interface in org.tensorflow.proto
SummaryProtos - Class in org.tensorflow.proto
summaryWriter(SummaryWriter.Options...) - Method in class org.tensorflow.op.SummaryOps: The SummaryWriter operation
SummaryWriter - Class in org.tensorflow.op.summary: The SummaryWriter operation
SummaryWriter(Operation) - Constructor for class org.tensorflow.op.summary.SummaryWriter
SummaryWriter.Inputs - Class in org.tensorflow.op.summary
SummaryWriter.Options - Class in org.tensorflow.op.summary: Optional attributes for SummaryWriter
sumShape() - Method in class org.tensorflow.op.sparse.SparseAdd: Gets sumShape.
sumValues() - Method in class org.tensorflow.op.sparse.SparseAdd: Gets sumValues.
superdiag - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: Tensor of shape [..., 1, M], representing superdiagonals of tri-diagonal matrices to the left of multiplication.
svd(Operand, Svd.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the singular value decompositions of one or more matrices.
Svd<T> - Class in org.tensorflow.op.linalg: Computes the singular value decompositions of one or more matrices.
Svd(Operation) - Constructor for class org.tensorflow.op.linalg.Svd
Svd.Inputs<T> - Class in org.tensorflow.op.linalg
Svd.Options - Class in org.tensorflow.op.linalg: Optional attributes for Svd
SWAP_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WhileContextDef
swapMemory - Variable in class org.tensorflow.op.core.StackPush.Inputs: Swap elem to CPU.
swapMemory(Boolean) - Method in class org.tensorflow.op.core.StackPush.Options: Sets the swapMemory option.
swapMemory(Boolean) - Static method in class org.tensorflow.op.core.StackPush: Sets the swapMemory option.
SWAPPING_HEURISTICS - Enum constant in enum org.tensorflow.proto.RewriterConfig.MemOptType: Swapping heuristic will move a tensor from the GPU to the CPU and move it back when needed to reduce peak memory usage.
SWAPPING_HEURISTICS_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.MemOptType: Swapping heuristic will move a tensor from the GPU to the CPU and move it back when needed to reduce peak memory usage.
swish(Ops, Operand) - Static method in class org.tensorflow.framework.activations.Swish: Applies the Swish activation function, swish(x) = x * sigmoid(x).
Swish - Class in org.tensorflow.framework.activations: Swish activation function.
Swish() - Constructor for class org.tensorflow.framework.activations.Swish: Creates a Swish activation, swish(x) = x * sigmoid(x).
Swish(Map) - Constructor for class org.tensorflow.framework.activations.Swish: Creates a new Swish from a configuration Map
SWISH - Enum constant in enum org.tensorflow.framework.activations.Activations
switchCond(Operand, Operand) - Method in class org.tensorflow.op.Ops: Forwards data to the output port determined by pred.
SwitchCond<T> - Class in org.tensorflow.op.core: Forwards data to the output port determined by pred.
SwitchCond(Operation) - Constructor for class org.tensorflow.op.core.SwitchCond
SwitchCond.Inputs<T> - Class in org.tensorflow.op.core
SYMBOLIC_CHECKPOINT - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSymbolicCheckpointCase
SYMBOLIC_CHECKPOINT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.Options
symbolicGradient(Iterable, List, ConcreteFunction) - Method in class org.tensorflow.op.TrainOps: Computes the gradient function for function f via backpropagation.
SymbolicGradient - Class in org.tensorflow.op.train: Computes the gradient function for function f via backpropagation.
SymbolicGradient(Operation) - Constructor for class org.tensorflow.op.train.SymbolicGradient
SymbolicGradient.Inputs - Class in org.tensorflow.op.train
syncDevice() - Method in class org.tensorflow.op.Ops: Synchronizes the device this op is run on.
SyncDevice - Class in org.tensorflow.op.core: Synchronizes the device this op is run on.
SyncDevice(Operation) - Constructor for class org.tensorflow.op.core.SyncDevice
SyncDevice.Inputs - Class in org.tensorflow.op.core
SYNCHRONIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
SYNCHRONIZATION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VariableDef
SYSTEM_FIELD_NUMBER - Static variable in class org.tensorflow.proto.PlatformInfo

T

t - Variable in class org.tensorflow.op.core.ClipByValue.Inputs: A Tensor.
t - Variable in class org.tensorflow.op.core.Select.Inputs: The t input
t - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 4D input Tensor.
t - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A 4D input Tensor.
t - Variable in class org.tensorflow.op.nn.L2Loss.Inputs: Typically 2-D, but may have any dimensions.
t - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 4D input Tensor.
T - Variable in class org.tensorflow.op.bitwise.BitwiseAnd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.BitwiseOr.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.BitwiseXor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.Invert.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.LeftShift.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.RightShift.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectivePermute.Inputs: The type of elements to be exchanged.
T - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.AssertThat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Assign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.AssignAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.AssignSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Batch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Bitcast.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BroadcastDynamicShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BroadcastGradientArgs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BroadcastTo.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Bucketize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.CheckPinned.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ClipByValue.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Concat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Copy.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.CopyHost.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.CopyToMesh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.CopyToMeshGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.CountUpTo.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.DeepCopy.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.DestroyTemporaryVariable.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.DynamicPartition.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.DynamicStitch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.EnsureShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Enter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Exit.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ExpandDims.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Fill.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Fingerprint.Inputs: This can be a POD-type or string type.
T - Variable in class org.tensorflow.op.core.For.Inputs: A list of dtypes.
T - Variable in class org.tensorflow.op.core.GetSessionHandle.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.GuaranteeConst.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Identity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.IdentityN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.InplaceAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.InplaceSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.InplaceUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.LinSpace.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.LowerBound.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Max.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Merge.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Min.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.core.NcclBroadcast.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.core.NcclReduce.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.core.NextIteration.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.OneHot.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.OnesLike.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Pad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ParallelConcat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ParallelDynamicStitch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Prod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Rank.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefEnter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefExit.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefIdentity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefMerge.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefNextIteration.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefSelect.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefSwitch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Relayout.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RelayoutLike.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Reshape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceCountUpTo.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Reverse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Roll.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Select.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Send.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SetDiff1d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SetSize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Shape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ShapeN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Size.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Slice.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Snapshot.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Split.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SplitV.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Squeeze.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Stack.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StackPush.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StatefulWhile.Inputs: dtype in use.
T - Variable in class org.tensorflow.op.core.StatelessWhile.Inputs: dtype in use.
T - Variable in class org.tensorflow.op.core.StopGradient.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Sum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SwitchCond.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorArrayUnpack.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Tile.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The type of operand, min, max, and output.
T - Variable in class org.tensorflow.op.core.Unique.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Unstack.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.UpperBound.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Where.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ZerosLike.Inputs: The T attribute
T - Variable in class org.tensorflow.op.data.LeakyReluGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.CheckNumerics.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugGradientIdentity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugGradientRefIdentity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.distribute.NcclBroadcast.Inputs: The T attribute
T - Variable in class org.tensorflow.op.distribute.NcclReduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: The T attribute
T - Variable in class org.tensorflow.op.dtypes.Complex.Inputs: The T attribute
T - Variable in class org.tensorflow.op.dtypes.ToBool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.AdjustContrast.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.AdjustHue.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.AdjustSaturation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.DrawBoundingBoxes.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.EncodePng.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.HsvToRgb.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeArea.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.RgbToHsv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The T attribute
T - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.io.SerializeTensor.Inputs: The type of the input tensor.
T - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchCholesky.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchCholeskyGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixDeterminant.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixDiagPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixInverse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixSetDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchSvd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Cholesky.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.CholeskyGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.ConjugateTranspose.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Cross.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Det.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Eig.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Einsum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Inv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.LogMatrixDeterminant.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Lu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixDiagPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixExponential.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixLogarithm.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Qr.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.SelfAdjointEig.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Solve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Sqrtm.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Svd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TensorDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TensorDiagPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Transpose.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Abs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.AccumulateN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Acos.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Acosh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Add.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.AddN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Angle.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ApproximateEqual.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ArgMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ArgMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Asin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Asinh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Atan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Atan2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Atanh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.BesselI0.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.BesselI0e.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.BesselI1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.BesselI1e.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Betainc.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Bincount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Ceil.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ComplexAbs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Conj.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Cos.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Cosh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Cumprod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Cumsum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Digamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Div.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.DivNoNan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Equal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Erf.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Erfc.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.erfinv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Exp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Expm1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Floor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.FloorDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.FloorMod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Greater.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.GreaterEqual.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Igamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Igammac.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.IgammaGradA.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Imag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.InvertPermutation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.IsFinite.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.IsInf.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.IsNan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Less.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.LessEqual.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Lgamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Log.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Log1p.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Maximum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Mean.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Minimum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Mod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Mul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.MulNoNan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Ndtri.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Neg.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.NextAfter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.NotEqual.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Polygamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.PopulationCount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Pow.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Real.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.RealDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Reciprocal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ReciprocalGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The quantized type of input tensor that needs to be converted.
T - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The quantized type of input tensor that needs to be converted.
T - Variable in class org.tensorflow.op.math.Rint.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Round.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Rsqrt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.RsqrtGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentMean.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sigmoid.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SigmoidGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sinh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Softplus.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SoftplusGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselJ0.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselJ1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselK0.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselK0e.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselK1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselK1e.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselY0.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselY1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.Dawsn.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.Expint.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.FresnelCos.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.FresnelSin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.Spence.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sqrt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SqrtGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Square.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SquaredDifference.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Tan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Tanh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.TanhGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.TruncateDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.TruncateMod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The type of lhs, rhs, and output.
T - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Xdivy.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Xlog1py.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Xlogy.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Zeta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BiasAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BiasAddGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DataFormatDimMap.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DataFormatVecPermute.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DepthToSpace.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Elu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.EluGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: The data type for the elements of input and output Tensors.
T - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: The data type for the elements of input and output Tensors.
T - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.InTopK.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.InvGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.IsotonicRegression.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.L2Loss.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LeakyRelu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LogSoftmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.NthElement.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Relu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Relu6.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Relu6Grad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.ReluGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Selu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SeluGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Softmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Softsign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SoftsignGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SpaceToDepth.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.TopK.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRows.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.experimental.StatelessShuffle.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.Multinomial.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomGammaGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomShuffle.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Dtype of the input values tensor.
T - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Dtype of the input values tensor.
T - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReorder.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSoftmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.strings.Substr.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.HistogramSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.ScalarSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.TensorSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The type of elements to be exchanged.
T - Variable in class org.tensorflow.op.tpu.CrossReplicaSum.Inputs: The type of elements to be summed.
T - Variable in class org.tensorflow.op.tpu.PartitionedInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.PartitionedOutput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.ReplicatedOutput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.tpu.TPUReplicatedOutput.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.PreventGradient.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.TileGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.ConcatND.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.ReadVariableSplitND.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.SplitND.Inputs: The T attribute
T1 - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The T1 attribute
T2 - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The T2 attribute
T3 - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The T3 attribute
T3 - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T3 attribute
T3 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The T3 attribute
T3 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T3 attribute
T3 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: The T3 attribute
T3 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The T3 attribute
Ta - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The Ta attribute
Ta - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: The Ta attribute
tableHandle - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: Handle to a table which will be initialized.
tableHandle - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Handle to a table which will be initialized.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableExport.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableRemove.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableSize.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.data.InitializeTableFromDataset.Inputs: The tableHandle input
tableHandle() - Method in class org.tensorflow.op.core.AnonymousHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.AnonymousMutableHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.HashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.MutableDenseHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.MutableHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.MutableHashTableOfTensors: Gets tableHandle.
tableId - Variable in class org.tensorflow.op.tpu.EmbeddingActivations.Inputs: The id of the table in the embedding layer configuration from which these activations were computed.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.

The id of the table in the embedding layer configuration from which these activations were computed.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Sets the tableId option.
tableIds - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The tableIds attribute
tableIds - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of integers specifying the identifier of the embedding table (offset of TableDescriptor in the TPUEmbeddingConfiguration) to lookup the corresponding input.
tableIds - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of integers specifying the identifier of the embedding table (offset of TableDescriptor in the TPUEmbeddingConfiguration) to lookup the corresponding input.
tableName - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Sets the tableName option.
tables - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput.Inputs: The tables input
tableVocabSize - Variable in class org.tensorflow.op.sparse.ConvertToSparseCoreCsrWrappedCooTensor.Inputs: The tableVocabSize attribute
tableVocabSize - Variable in class org.tensorflow.op.sparse.GetStatsFromListOfSparseCoreCooTensors.Inputs: The tableVocabSize attribute
tableVocabSize - Variable in class org.tensorflow.op.sparse.SortListOfSparseCoreCooTensors.Inputs: The tableVocabSize attribute
tableVocabSize - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The tableVocabSize attribute
tableVocabSize - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The tableVocabSize attribute
Tactivation - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The type of output produced by activation function following this operation.
tag - Variable in class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.LatencyStatsDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.AudioSummary.Inputs: Scalar.
tag - Variable in class org.tensorflow.op.summary.HistogramSummary.Inputs: Scalar.
tag - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: Scalar.
tag - Variable in class org.tensorflow.op.summary.TensorSummary.Inputs: A string attached to this summary.
tag - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The tag input
TAG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Value
TAG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TaggedRunMetadata
TAGGED_RUN_METADATA - Enum constant in enum org.tensorflow.proto.Event.WhatCase
TAGGED_RUN_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Event
TaggedRunMetadata - Class in org.tensorflow.proto: For logging the metadata output for a single session.run() call.
TaggedRunMetadata.Builder - Class in org.tensorflow.proto: For logging the metadata output for a single session.run() call.
TaggedRunMetadataOrBuilder - Interface in org.tensorflow.proto
tags - Variable in class org.tensorflow.op.summary.ScalarSummary.Inputs: Tags for the summary.
TAGS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
tail(Shape) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional Operand that contains the dimension matching the last dimension of the Shape.
tail(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional Operand that contains the dimension matching the last dimension of * the Shape.
tail(Scope, Shape) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional Operand that contains the dimension matching the last dimension of the Shape.
tail(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional Operand that contains the dimension matching the last dimension of * the Shape.
take(long) - Method in class org.tensorflow.framework.data.Dataset: Returns a new `Dataset` with only the first `count` elements from this dataset.
take(Shape, Operand) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand with the dimensions matching the first n dimensions of the shape.
take(Shape, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containin the dimensions matching the first n dimensions of the shape.
take(Scope, Shape, Operand) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand with the dimensions matching the first n dimensions of the shape.
take(Scope, Shape, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containin the dimensions matching the first n dimensions of the shape.
takeDataset(Operand, Operand, List, List, TakeDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that contains count elements from the input_dataset.
TakeDataset - Class in org.tensorflow.op.data: Creates a dataset that contains count elements from the input_dataset.
TakeDataset(Operation) - Constructor for class org.tensorflow.op.data.TakeDataset
TakeDataset.Inputs - Class in org.tensorflow.op.data
TakeDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TakeDataset
takeLast(Shape, Operand) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the dimensions matching the last n dimensions of the shape.
takeLast(Shape, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the dimensions matching the last n dimensions of the shape.
takeLast(Scope, Shape, Operand) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the dimensions matching the last n dimensions of the shape.
takeLast(Scope, Shape, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the dimensions matching the last n dimensions of the shape.
takeManySparseFromTensorsMap(Operand, Class, TakeManySparseFromTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps: Read SparseTensors from a SparseTensorsMap and concatenate them.
TakeManySparseFromTensorsMap<T> - Class in org.tensorflow.op.sparse: Read SparseTensors from a SparseTensorsMap and concatenate them.
TakeManySparseFromTensorsMap(Operation) - Constructor for class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap
TakeManySparseFromTensorsMap.Inputs - Class in org.tensorflow.op.sparse
TakeManySparseFromTensorsMap.Options - Class in org.tensorflow.op.sparse: Optional attributes for TakeManySparseFromTensorsMap
takeWhileDataset(Operand, Iterable, ConcreteFunction, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that stops iteration when predicate` is false.
takeWhileDataset(Operand, Iterable, ConcreteFunction, List, List, TakeWhileDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that stops iteration when predicate` is false.
TakeWhileDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that stops iteration when predicate` is false.
TakeWhileDataset - Class in org.tensorflow.op.data: Creates a dataset that stops iteration when predicate` is false.
TakeWhileDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.TakeWhileDataset
TakeWhileDataset(Operation) - Constructor for class org.tensorflow.op.data.TakeWhileDataset
TakeWhileDataset.Inputs - Class in org.tensorflow.op.data.experimental
TakeWhileDataset.Inputs - Class in org.tensorflow.op.data
TakeWhileDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TakeWhileDataset
tan(Operand) - Method in class org.tensorflow.op.MathOps: Computes tan of x element-wise.
Tan<T> - Class in org.tensorflow.op.math: Computes tan of x element-wise.
Tan(Operation) - Constructor for class org.tensorflow.op.math.Tan
Tan.Inputs<T> - Class in org.tensorflow.op.math
tanh(Ops, Operand) - Static method in class org.tensorflow.framework.activations.Tanh: Applies the Hyperbolic tangent activation function, tanh(x) = sinh(x)/cosh(x) = ((exp(x) - exp(-x))/(exp(x) + exp(-x))).
tanh(Operand) - Method in class org.tensorflow.op.MathOps: Computes hyperbolic tangent of x element-wise.
Tanh - Class in org.tensorflow.framework.activations: Hyperbolic tangent activation function.
Tanh<T> - Class in org.tensorflow.op.math: Computes hyperbolic tangent of x element-wise.
Tanh() - Constructor for class org.tensorflow.framework.activations.Tanh: Creates a Hyperbolic tangent activation.
Tanh(Map) - Constructor for class org.tensorflow.framework.activations.Tanh: Creates a new Tanh from a configuration Map
Tanh(Operation) - Constructor for class org.tensorflow.op.math.Tanh
TANH - Enum constant in enum org.tensorflow.framework.activations.Activations
Tanh.Inputs<T> - Class in org.tensorflow.op.math
tanhGrad(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the gradient for the tanh of x wrt its input.
TanhGrad<T> - Class in org.tensorflow.op.math: Computes the gradient for the tanh of x wrt its input.
TanhGrad(Operation) - Constructor for class org.tensorflow.op.math.TanhGrad
TanhGrad.Inputs<T> - Class in org.tensorflow.op.math
target - Variable in class org.tensorflow.op.core.RemoteCall.Inputs: A fully specified device name where we want to run the function.
TARGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CallableOptions
TARGET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TestResults
TARGET_GPU_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
TARGET_TPU_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
targets - Variable in class org.tensorflow.op.nn.InTopK.Inputs: A batch_size vector of class ids.
targetWorkers - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The targetWorkers attribute
targetWorkers(String) - Method in class org.tensorflow.op.data.DataServiceDataset.Options: Sets the targetWorkers option.
targetWorkers(String) - Static method in class org.tensorflow.op.data.DataServiceDataset: Sets the targetWorkers option.
Targmax - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The Targmax attribute
Targmax - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The Targmax attribute
Targmax - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The Targmax attribute
Targs - Variable in class org.tensorflow.op.tpu.Execute.Inputs: The Targs attribute
Targs - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The Targs attribute
Targuments - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of types.
Targuments - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Types of the elements of other_arguments.
Targuments - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The Targuments attribute
task() - Method in class org.tensorflow.DeviceSpec
task(Integer) - Method in class org.tensorflow.DeviceSpec.Builder
TASK_INDEX_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ServerDef
TaskDeviceFilters - Class in org.tensorflow.proto: Defines the device filters for a remote task.
TaskDeviceFilters.Builder - Class in org.tensorflow.proto: Defines the device filters for a remote task.
TaskDeviceFiltersOrBuilder - Interface in org.tensorflow.proto
taskRefreshIntervalHintMs - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The taskRefreshIntervalHintMs attribute
taskRefreshIntervalHintMs(Long) - Method in class org.tensorflow.op.data.DataServiceDataset.Options: Sets the taskRefreshIntervalHintMs option.
taskRefreshIntervalHintMs(Long) - Static method in class org.tensorflow.op.data.DataServiceDataset: Sets the taskRefreshIntervalHintMs option.
TASKS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.JobDef
TASKS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.JobDeviceFilters
Taxis - Variable in class org.tensorflow.op.core.Gather.Inputs: The Taxis attribute
Taxis - Variable in class org.tensorflow.op.core.Roll.Inputs: The Taxis attribute
Taxis - Variable in class org.tensorflow.op.core.Unique.Inputs: The Taxis attribute
Taxis - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: The Taxis attribute
Tb - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The Tb attribute
Tb - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: The Tb attribute
TBfloat16 - Interface in org.tensorflow.types: Brain 16-bit float tensor type.
TBfloat16 - Static variable in class org.tensorflow.generator.op.Names
Tbias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The type of the bias.
Tbias - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The Tbias attribute
TblockShape - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: The TblockShape attribute
TblockShape - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: The TblockShape attribute
TBool - Interface in org.tensorflow.types: Boolean tensor type.
TBool - Static variable in class org.tensorflow.generator.op.Names
Tcaptured - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: the types of the captured tensors.
Tcaptured - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of types.
Tcomplex - Variable in class org.tensorflow.op.signal.Fft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Fft2d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Fft3d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.FftNd.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Ifft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Ifft2d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Ifft3d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.IfftNd.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Irfft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Irfft2d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Irfft3d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.IrfftNd.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Rfft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Rfft2d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Rfft3d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.RfftNd.Inputs: The Tcomplex attribute
Tcomponents - Variable in class org.tensorflow.op.core.CompositeTensorVariantFromComponents.Inputs: The Tcomponents attribute
Tcomponents - Variable in class org.tensorflow.op.core.CompositeTensorVariantToComponents.Inputs: Expected dtypes for components.
Tcomponents - Variable in class org.tensorflow.op.io.QueueEnqueue.Inputs: The Tcomponents attribute
Tcomponents - Variable in class org.tensorflow.op.io.QueueEnqueueMany.Inputs: The Tcomponents attribute
Tcond - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: The Tcond attribute
Tcond - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: The Tcond attribute
TcontextDense - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The TcontextDense attribute
TcontextDense - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: The TcontextDense attribute
Tcrops - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: The Tcrops attribute
Tdense - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A list of DTypes of the same length as dense_keys.
Tdense - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A list of DTypes of the same length as dense_keys.
Tdense - Variable in class org.tensorflow.op.io.ParseExample.Inputs: The Tdense attribute
Tdense - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: The data types of data in each Feature given in dense_keys.
Tdim - Variable in class org.tensorflow.op.core.ExpandDims.Inputs: The Tdim attribute
TEMP_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryStats
template - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: A string, the template to format tensor summaries into.
template(String) - Method in class org.tensorflow.op.strings.StringFormat.Options: Sets the template option.
template(String) - Static method in class org.tensorflow.op.strings.StringFormat: Sets the template option.
TEMPORARY_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CostGraphDef.Node
TEMPORARY_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpPerformance
temporaryVariable(Shape, Class, TemporaryVariable.Options...) - Method in class org.tensorflow.op.Ops: Returns a tensor that may be mutated, but only persists within a single step.
TemporaryVariable<T> - Class in org.tensorflow.op.core: Returns a tensor that may be mutated, but only persists within a single step.
TemporaryVariable(Operation) - Constructor for class org.tensorflow.op.core.TemporaryVariable
TemporaryVariable.Inputs - Class in org.tensorflow.op.core
TemporaryVariable.Options - Class in org.tensorflow.op.core: Optional attributes for TemporaryVariable
tensor - Variable in class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle: A reference to prevent deallocation.
tensor - Variable in class org.tensorflow.op.core.CheckPinned.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.Reshape.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.Reverse.Inputs: Up to 8-D.
tensor - Variable in class org.tensorflow.op.core.Send.Inputs: The tensor to send.
tensor - Variable in class org.tensorflow.op.core.TensorListFromTensor.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListPushBack.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListPushBackBatch.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: Tensor to copy/update.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: Tensor to update.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: Tensor to update.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: Tensor to copy/update.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: Tensor to copy/update.
tensor - Variable in class org.tensorflow.op.debugging.CheckNumerics.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.io.SerializeTensor.Inputs: A Tensor of type T.
tensor - Variable in class org.tensorflow.op.summary.AudioSummary.Inputs: 2-D of shape [batch_size, frames].
tensor - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: 4-D of shape [batch_size, height, width, channels] where channels is 1, 3, or 4.
tensor - Variable in class org.tensorflow.op.summary.TensorSummary.Inputs: A tensor to serialize.
tensor - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.WriteGraphSummary.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.WriteRawProtoSummary.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The tensor input
tensor() - Method in class org.tensorflow.op.core.ImmutableConst: Gets tensor.
tensor() - Method in class org.tensorflow.op.core.Recv: Gets tensor.
tensor() - Method in class org.tensorflow.op.core.TensorListConcat: Gets tensor.
tensor() - Method in class org.tensorflow.op.core.TensorListPopBack: Gets tensor.
tensor() - Method in class org.tensorflow.op.core.TensorListStack: Gets tensor.
tensor() - Method in class org.tensorflow.op.train.RestoreSlice: Gets tensor.
Tensor - Class in org.tensorflow.internal.c_api
Tensor - Interface in org.tensorflow: A statically typed multi-dimensional array.
Tensor - Static variable in class org.tensorflow.generator.op.Names
Tensor() - Constructor for class org.tensorflow.internal.c_api.Tensor: Empty constructor.
Tensor(Pointer) - Constructor for class org.tensorflow.internal.c_api.Tensor: Pointer cast constructor.
TENSOR - Enum constant in enum org.tensorflow.proto.AttrValue.ValueCase
TENSOR - Enum constant in enum org.tensorflow.proto.Summary.Value.ValueCase
TENSOR_ARRAY_SPEC - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.TensorArraySpec
TENSOR_ARRAY_SPEC_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.TensorArraySpec
TENSOR_CONNECTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CallableOptions
TENSOR_CONTENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
TENSOR_CONTENT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
TENSOR_DEBUG_MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Execution
TENSOR_DEBUG_MODE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphExecutionTrace
TENSOR_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeOutput
TENSOR_DTYPE_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
TENSOR_DTYPE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue.ListValue
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogTensorAllocation
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryLogTensorOutput
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NamedTensorProto
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedTensorSliceMeta
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Value
TENSOR_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AssetFileDef
TENSOR_METADATA_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
TENSOR_PROTO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphExecutionTrace
TENSOR_PROTOS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Execution
TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorInfo
TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
TENSOR_SHAPE_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
TENSOR_SHAPE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
TENSOR_SIZE_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
TENSOR_SPEC_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
TENSOR_SPEC_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
TENSOR_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
TENSOR_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
tensorArray(Operand, Class, TensorArray.Options...) - Method in class org.tensorflow.op.Ops: An array of Tensors of given size.
TensorArray - Class in org.tensorflow.op.core: An array of Tensors of given size.
TensorArray(Operation) - Constructor for class org.tensorflow.op.core.TensorArray
TensorArray.Inputs - Class in org.tensorflow.op.core
TensorArray.Options - Class in org.tensorflow.op.core: Optional attributes for TensorArray
tensorArrayClose(Operand) - Method in class org.tensorflow.op.Ops: Delete the TensorArray from its resource container.
TensorArrayClose - Class in org.tensorflow.op.core: Delete the TensorArray from its resource container.
TensorArrayClose(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayClose
TensorArrayClose.Inputs - Class in org.tensorflow.op.core
tensorArrayConcat(Operand, Operand, Class, TensorArrayConcat.Options...) - Method in class org.tensorflow.op.Ops: Concat the elements from the TensorArray into value value.
TensorArrayConcat<T> - Class in org.tensorflow.op.core: Concat the elements from the TensorArray into value value.
TensorArrayConcat(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayConcat
TensorArrayConcat.Inputs - Class in org.tensorflow.op.core
TensorArrayConcat.Options - Class in org.tensorflow.op.core: Optional attributes for TensorArrayConcat
tensorArrayGather(Operand, Operand, Operand, Class, TensorArrayGather.Options...) - Method in class org.tensorflow.op.Ops: Gather specific elements from the TensorArray into output value.
TensorArrayGather<T> - Class in org.tensorflow.op.core: Gather specific elements from the TensorArray into output value.
TensorArrayGather(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayGather
TensorArrayGather.Inputs - Class in org.tensorflow.op.core
TensorArrayGather.Options - Class in org.tensorflow.op.core: Optional attributes for TensorArrayGather
tensorArrayGrad(Operand, Operand, String) - Method in class org.tensorflow.op.Ops: Creates a TensorArray for storing the gradients of values in the given handle.
TensorArrayGrad - Class in org.tensorflow.op.core: Creates a TensorArray for storing the gradients of values in the given handle.
TensorArrayGrad(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayGrad
TensorArrayGrad.Inputs - Class in org.tensorflow.op.core
tensorArrayGradWithShape(Operand, Operand, Operand, String) - Method in class org.tensorflow.op.Ops: Creates a TensorArray for storing multiple gradients of values in the given handle.
TensorArrayGradWithShape - Class in org.tensorflow.op.core: Creates a TensorArray for storing multiple gradients of values in the given handle.
TensorArrayGradWithShape(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayGradWithShape
TensorArrayGradWithShape.Inputs - Class in org.tensorflow.op.core
tensorArrayName - Variable in class org.tensorflow.op.core.TensorArray.Inputs: Overrides the name used for the temporary tensor_array resource.
tensorArrayName(String) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the tensorArrayName option.
tensorArrayName(String) - Static method in class org.tensorflow.op.core.TensorArray: Sets the tensorArrayName option.
tensorArrayPack(Operand, Operand, Class, TensorArrayPack.Options...) - Method in class org.tensorflow.op.Ops: The TensorArrayPack operation
TensorArrayPack<T> - Class in org.tensorflow.op.core: The TensorArrayPack operation
TensorArrayPack(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayPack
TensorArrayPack.Inputs - Class in org.tensorflow.op.core
TensorArrayPack.Options - Class in org.tensorflow.op.core: Optional attributes for TensorArrayPack
tensorArrayRead(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Read an element from the TensorArray into output value.
TensorArrayRead<T> - Class in org.tensorflow.op.core: Read an element from the TensorArray into output value.
TensorArrayRead(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayRead
TensorArrayRead.Inputs - Class in org.tensorflow.op.core
tensorArrayScatter(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Scatter the data from the input value into specific TensorArray elements.
TensorArrayScatter - Class in org.tensorflow.op.core: Scatter the data from the input value into specific TensorArray elements.
TensorArrayScatter(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayScatter
TensorArrayScatter.Inputs - Class in org.tensorflow.op.core
tensorArraySize(Operand, Operand) - Method in class org.tensorflow.op.Ops: Get the current size of the TensorArray.
TensorArraySize - Class in org.tensorflow.op.core: Get the current size of the TensorArray.
TensorArraySize(Operation) - Constructor for class org.tensorflow.op.core.TensorArraySize
TensorArraySize.Inputs - Class in org.tensorflow.op.core
tensorArraySplit(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Split the data from the input value into TensorArray elements.
TensorArraySplit - Class in org.tensorflow.op.core: Split the data from the input value into TensorArray elements.
TensorArraySplit(Operation) - Constructor for class org.tensorflow.op.core.TensorArraySplit
TensorArraySplit.Inputs - Class in org.tensorflow.op.core
tensorArrayUnpack(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: The TensorArrayUnpack operation
TensorArrayUnpack - Class in org.tensorflow.op.core: The TensorArrayUnpack operation
TensorArrayUnpack(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayUnpack
TensorArrayUnpack.Inputs - Class in org.tensorflow.op.core
tensorArrayWrite(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Push an element onto the tensor_array.
TensorArrayWrite - Class in org.tensorflow.op.core: Push an element onto the tensor_array.
TensorArrayWrite(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayWrite
TensorArrayWrite.Inputs - Class in org.tensorflow.op.core
TensorBundleProtos - Class in org.tensorflow.proto
TensorConnection - Class in org.tensorflow.proto: Defines a connection between two tensors in a `GraphDef`.
TensorConnection.Builder - Class in org.tensorflow.proto: Defines a connection between two tensors in a `GraphDef`.
TensorConnectionOrBuilder - Interface in org.tensorflow.proto
tensorDataset(Iterable, List, TensorDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits components as a tuple of tensors once.
TensorDataset - Class in org.tensorflow.op.data: Creates a dataset that emits components as a tuple of tensors once.
TensorDataset(Operation) - Constructor for class org.tensorflow.op.data.TensorDataset
TensorDataset.Inputs - Class in org.tensorflow.op.data
TensorDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TensorDataset
tensorDebugMode - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: Tensor debug mode: the mode in which the input tensor is summarized by the op.
tensorDebugMode(Long) - Method in class org.tensorflow.op.debugging.DebugNumericsSummary.Options: Sets the tensorDebugMode option.
tensorDebugMode(Long) - Static method in class org.tensorflow.op.debugging.DebugNumericsSummary: Sets the tensorDebugMode option.
TensorDebugMode - Enum in org.tensorflow.proto: Available modes for extracting debugging information from a Tensor.
TensorDescription - Class in org.tensorflow.proto: Protobuf type tensorflow.TensorDescription
TensorDescription(DataType, Shape, String) - Constructor for class org.tensorflow.Signature.TensorDescription
TensorDescription.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.TensorDescription
TensorDescriptionOrBuilder - Interface in org.tensorflow.proto
TensorDescriptionProtos - Class in org.tensorflow.proto
tensorDiag(Operand) - Method in class org.tensorflow.op.LinalgOps: Returns a diagonal tensor with a given diagonal values.
TensorDiag<T> - Class in org.tensorflow.op.linalg: Returns a diagonal tensor with a given diagonal values.
TensorDiag(Operation) - Constructor for class org.tensorflow.op.linalg.TensorDiag
TensorDiag.Inputs<T> - Class in org.tensorflow.op.linalg
tensorDiagPart(Operand) - Method in class org.tensorflow.op.LinalgOps: Returns the diagonal part of the tensor.
TensorDiagPart<T> - Class in org.tensorflow.op.linalg: Returns the diagonal part of the tensor.
TensorDiagPart(Operation) - Constructor for class org.tensorflow.op.linalg.TensorDiagPart
TensorDiagPart.Inputs<T> - Class in org.tensorflow.op.linalg
tensordot(Scope, Operand, Operand, int) - Static method in class org.tensorflow.framework.op.math.TensorDot: Tensor contraction of a and b along specified axes and outer product.
tensordot(Scope, Operand, Operand, int[]) - Static method in class org.tensorflow.framework.op.math.TensorDot: Tensor contraction of a and b along specified axes and outer product.
tensordot(Scope, Operand, Operand, int[][]) - Static method in class org.tensorflow.framework.op.math.TensorDot: Tensor contraction of a and b along specified axes and outer product.
tensordot(Scope, Operand, Operand, Operand) - Static method in class org.tensorflow.framework.op.math.TensorDot: Tensor contraction of a and b along specified axes and outer product.
tensordot(Scope, Operand, Operand, Operand, Operand) - Static method in class org.tensorflow.framework.op.math.TensorDot: Tensor contraction of a and b along specified axes and outer product.
tensordot(Operand, Operand, int) - Method in class org.tensorflow.framework.op.MathOps: Tensor contraction of a and b along specified axes and outer product.
tensordot(Operand, Operand, int[]) - Method in class org.tensorflow.framework.op.MathOps: Tensor contraction of a and b along specified axes and outer product.
tensordot(Operand, Operand, int[][]) - Method in class org.tensorflow.framework.op.MathOps: Tensor contraction of a and b along specified axes and outer product.
tensordot(Operand, Operand, Operand) - Method in class org.tensorflow.framework.op.MathOps: Tensor contraction of a and b along specified axes and outer product.
tensordot(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.framework.op.MathOps: Tensor contraction of a and b along specified axes and outer product.
TensorDot - Class in org.tensorflow.framework.op.math: tensor contraction Operations
TensorDot() - Constructor for class org.tensorflow.framework.op.math.TensorDot
tensorflow - module tensorflow: Core module implementing the TensorFlow Java API and operator definitions.
tensorflow - Class in org.tensorflow.internal.c_api.global
tensorflow - Class in org.tensorflow.internal.c_api.presets
tensorflow() - Constructor for class org.tensorflow.internal.c_api.global.tensorflow
tensorflow() - Constructor for class org.tensorflow.internal.c_api.presets.tensorflow
TensorFlow - Class in org.tensorflow: Static utility methods describing the TensorFlow runtime.
TENSORFLOW_GIT_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
TENSORFLOW_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugMetadata
TENSORFLOW_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
tensorflow.framework - module tensorflow.framework: Higher level TensorFlow framework containing model definition and training operations.
tensorflow.generator - module tensorflow.generator: Code to generate the Java side implementations of TensorFlow's ops based on the TensorFlow op definition files.
tensorflow.nativelib - module tensorflow.nativelib: Native interop with the TensorFlow C API.
TensorFlowException - Exception Class in org.tensorflow.exceptions: Unchecked exception thrown by TensorFlow core classes
TensorFlowException(String) - Constructor for exception class org.tensorflow.exceptions.TensorFlowException
TensorFlowException(String, Throwable) - Constructor for exception class org.tensorflow.exceptions.TensorFlowException
TensorflowPackage - Static variable in class org.tensorflow.generator.op.Names
TensorFunction - Interface in org.tensorflow: A function that can be called with tensors.
tensorId - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: Optional.
tensorId(Long) - Method in class org.tensorflow.op.debugging.DebugNumericsSummary.Options: Sets the tensorId option.
tensorId(Long) - Static method in class org.tensorflow.op.debugging.DebugNumericsSummary: Sets the tensorId option.
TensorInfo - Class in org.tensorflow.proto: Information about a Tensor necessary for feeding or retrieval.
TensorInfo.Builder - Class in org.tensorflow.proto: Information about a Tensor necessary for feeding or retrieval.
TensorInfo.CompositeTensor - Class in org.tensorflow.proto: Generic encoding for composite tensors.
TensorInfo.CompositeTensor.Builder - Class in org.tensorflow.proto: Generic encoding for composite tensors.
TensorInfo.CompositeTensorOrBuilder - Interface in org.tensorflow.proto
TensorInfo.CooSparse - Class in org.tensorflow.proto: For sparse tensors, The COO encoding stores a triple of values, indices, and shape.
TensorInfo.CooSparse.Builder - Class in org.tensorflow.proto: For sparse tensors, The COO encoding stores a triple of values, indices, and shape.
TensorInfo.CooSparseOrBuilder - Interface in org.tensorflow.proto
TensorInfo.EncodingCase - Enum in org.tensorflow.proto
TensorInfoOrBuilder - Interface in org.tensorflow.proto
tensorListConcat(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Concats all tensors in the list along the 0th dimension.
TensorListConcat - Class in org.tensorflow.op.core: Concats all tensors in the list along the 0th dimension.
TensorListConcat(Operation) - Constructor for class org.tensorflow.op.core.TensorListConcat
TensorListConcat.Inputs - Class in org.tensorflow.op.core
tensorListConcatLists(Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: The TensorListConcatLists operation
TensorListConcatLists - Class in org.tensorflow.op.core: The TensorListConcatLists operation
TensorListConcatLists(Operation) - Constructor for class org.tensorflow.op.core.TensorListConcatLists
TensorListConcatLists.Inputs - Class in org.tensorflow.op.core
tensorListElementShape(Operand, Class) - Method in class org.tensorflow.op.Ops: The shape of the elements of the given list, as a tensor.
TensorListElementShape<T> - Class in org.tensorflow.op.core: The shape of the elements of the given list, as a tensor. input_handle: the list element_shape: the shape of elements of the list
TensorListElementShape(Operation) - Constructor for class org.tensorflow.op.core.TensorListElementShape
TensorListElementShape.Inputs - Class in org.tensorflow.op.core
tensorListFromTensor(Operand, Operand) - Method in class org.tensorflow.op.Ops: Creates a TensorList which, when stacked, has the value of tensor.
TensorListFromTensor - Class in org.tensorflow.op.core: Creates a TensorList which, when stacked, has the value of tensor.
TensorListFromTensor(Operation) - Constructor for class org.tensorflow.op.core.TensorListFromTensor
TensorListFromTensor.Inputs - Class in org.tensorflow.op.core
tensorListGather(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Creates a Tensor by indexing into the TensorList.
TensorListGather<T> - Class in org.tensorflow.op.core: Creates a Tensor by indexing into the TensorList.
TensorListGather(Operation) - Constructor for class org.tensorflow.op.core.TensorListGather
TensorListGather.Inputs - Class in org.tensorflow.op.core
tensorListGetItem(Operand, Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Returns the item in the list with the given index.
TensorListGetItem<T> - Class in org.tensorflow.op.core: Returns the item in the list with the given index. input_handle: the list index: the position in the list from which an element will be retrieved item: the element at that position
TensorListGetItem(Operation) - Constructor for class org.tensorflow.op.core.TensorListGetItem
TensorListGetItem.Inputs - Class in org.tensorflow.op.core
tensorListLength(Operand) - Method in class org.tensorflow.op.Ops: Returns the number of tensors in the input tensor list.
TensorListLength - Class in org.tensorflow.op.core: Returns the number of tensors in the input tensor list. input_handle: the input list length: the number of tensors in the list
TensorListLength(Operation) - Constructor for class org.tensorflow.op.core.TensorListLength
TensorListLength.Inputs - Class in org.tensorflow.op.core
tensorListPopBack(Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Returns the last element of the input list as well as a list with all but that element.
TensorListPopBack<T> - Class in org.tensorflow.op.core: Returns the last element of the input list as well as a list with all but that element.
TensorListPopBack(Operation) - Constructor for class org.tensorflow.op.core.TensorListPopBack
TensorListPopBack.Inputs - Class in org.tensorflow.op.core
tensorListPushBack(Operand, Operand) - Method in class org.tensorflow.op.Ops: Returns a list which has the passed-in Tensor as last element and the other elements of the given list in input_handle.
TensorListPushBack - Class in org.tensorflow.op.core: Returns a list which has the passed-in Tensor as last element and the other elements of the given list in input_handle. tensor: The tensor to put on the list. input_handle: The old list. output_handle: A list with the elements of the old list followed by tensor. element_dtype: the type of elements in the list. element_shape: a shape compatible with that of elements in the list.
TensorListPushBack(Operation) - Constructor for class org.tensorflow.op.core.TensorListPushBack
TensorListPushBack.Inputs - Class in org.tensorflow.op.core
tensorListPushBackBatch(Operand, Operand) - Method in class org.tensorflow.op.Ops: The TensorListPushBackBatch operation
TensorListPushBackBatch - Class in org.tensorflow.op.core: The TensorListPushBackBatch operation
TensorListPushBackBatch(Operation) - Constructor for class org.tensorflow.op.core.TensorListPushBackBatch
TensorListPushBackBatch.Inputs - Class in org.tensorflow.op.core
tensorListReserve(Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: List of the given size with empty elements.
TensorListReserve - Class in org.tensorflow.op.core: List of the given size with empty elements. element_shape: the shape of the future elements of the list num_elements: the number of elements to reserve handle: the output list element_dtype: the desired type of elements in the list.
TensorListReserve(Operation) - Constructor for class org.tensorflow.op.core.TensorListReserve
TensorListReserve.Inputs - Class in org.tensorflow.op.core
tensorListResize(Operand, Operand) - Method in class org.tensorflow.op.Ops: Resizes the list.
TensorListResize - Class in org.tensorflow.op.core: Resizes the list. input_handle: the input list size: size of the output list
TensorListResize(Operation) - Constructor for class org.tensorflow.op.core.TensorListResize
TensorListResize.Inputs - Class in org.tensorflow.op.core
tensorListScatter(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Creates a TensorList by indexing into a Tensor.
TensorListScatter - Class in org.tensorflow.op.core: Creates a TensorList by indexing into a Tensor.
TensorListScatter(Operation) - Constructor for class org.tensorflow.op.core.TensorListScatter
TensorListScatter.Inputs - Class in org.tensorflow.op.core
tensorListScatterIntoExistingList(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Scatters tensor at indices in an input list.
TensorListScatterIntoExistingList - Class in org.tensorflow.op.core: Scatters tensor at indices in an input list.
TensorListScatterIntoExistingList(Operation) - Constructor for class org.tensorflow.op.core.TensorListScatterIntoExistingList
TensorListScatterIntoExistingList.Inputs - Class in org.tensorflow.op.core
tensorListSetItem(Operand, Operand, Operand, TensorListSetItem.Options...) - Method in class org.tensorflow.op.Ops: Sets the index-th position of the list to contain the given tensor.
TensorListSetItem - Class in org.tensorflow.op.core: Sets the index-th position of the list to contain the given tensor. input_handle: the list index: the position in the list to which the tensor will be assigned item: the element to be assigned to that position output_handle: the new list, with the element in the proper position
TensorListSetItem(Operation) - Constructor for class org.tensorflow.op.core.TensorListSetItem
TensorListSetItem.Inputs - Class in org.tensorflow.op.core
TensorListSetItem.Options - Class in org.tensorflow.op.core: Optional attributes for TensorListSetItem
tensorListSplit(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Splits a tensor into a list.
TensorListSplit - Class in org.tensorflow.op.core: Splits a tensor into a list. list[i] corresponds to lengths[i] tensors from the input tensor.
TensorListSplit(Operation) - Constructor for class org.tensorflow.op.core.TensorListSplit
TensorListSplit.Inputs - Class in org.tensorflow.op.core
tensorListStack(Operand, Operand, Class, TensorListStack.Options...) - Method in class org.tensorflow.op.Ops: Stacks all tensors in the list.
TensorListStack<T> - Class in org.tensorflow.op.core: Stacks all tensors in the list.
TensorListStack(Operation) - Constructor for class org.tensorflow.op.core.TensorListStack
TensorListStack.Inputs - Class in org.tensorflow.op.core
TensorListStack.Options - Class in org.tensorflow.op.core: Optional attributes for TensorListStack
tensorMapErase(Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Returns a tensor map with item from given key erased.
TensorMapErase - Class in org.tensorflow.op.core: Returns a tensor map with item from given key erased. input_handle: the original map output_handle: the map with value from given key removed key: the key of the value to be erased
TensorMapErase(Operation) - Constructor for class org.tensorflow.op.core.TensorMapErase
TensorMapErase.Inputs - Class in org.tensorflow.op.core
tensorMapHasKey(Operand, Operand) - Method in class org.tensorflow.op.Ops: Returns whether the given key exists in the map.
TensorMapHasKey - Class in org.tensorflow.op.core: Returns whether the given key exists in the map. input_handle: the input map key: the key to check has_key: whether the key is already in the map or not
TensorMapHasKey(Operation) - Constructor for class org.tensorflow.op.core.TensorMapHasKey
TensorMapHasKey.Inputs - Class in org.tensorflow.op.core
tensorMapInsert(Operand, Operand, Operand) - Method in class org.tensorflow.op.Ops: Returns a map that is the 'input_handle' with the given key-value pair inserted.
TensorMapInsert - Class in org.tensorflow.op.core: Returns a map that is the 'input_handle' with the given key-value pair inserted. input_handle: the original map output_handle: the map with key and value inserted key: the key to be inserted value: the value to be inserted
TensorMapInsert(Operation) - Constructor for class org.tensorflow.op.core.TensorMapInsert
TensorMapInsert.Inputs - Class in org.tensorflow.op.core
tensorMapLookup(Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Returns the value from a given key in a tensor map.
TensorMapLookup - Class in org.tensorflow.op.core: Returns the value from a given key in a tensor map. input_handle: the input map key: the key to be looked up value: the value found from the given key
TensorMapLookup(Operation) - Constructor for class org.tensorflow.op.core.TensorMapLookup
TensorMapLookup.Inputs - Class in org.tensorflow.op.core
TensorMapper<T> - Class in org.tensorflow: Maps the native memory of a RawTensor to a n-dimensional typed data space accessible from the JVM.
TensorMapper() - Constructor for class org.tensorflow.TensorMapper
tensorMapSize(Operand) - Method in class org.tensorflow.op.Ops: Returns the number of tensors in the input tensor map.
TensorMapSize - Class in org.tensorflow.op.core: Returns the number of tensors in the input tensor map. input_handle: the input map size: the number of tensors in the map
TensorMapSize(Operation) - Constructor for class org.tensorflow.op.core.TensorMapSize
TensorMapSize.Inputs - Class in org.tensorflow.op.core
tensorMapStackKeys(Operand, Class) - Method in class org.tensorflow.op.Ops: Returns a Tensor stack of all keys in a tensor map.
TensorMapStackKeys<T> - Class in org.tensorflow.op.core: Returns a Tensor stack of all keys in a tensor map. input_handle: the input map keys: the returned Tensor of all keys in the map
TensorMapStackKeys(Operation) - Constructor for class org.tensorflow.op.core.TensorMapStackKeys
TensorMapStackKeys.Inputs - Class in org.tensorflow.op.core
tensorName - Variable in class org.tensorflow.op.core.Copy.Inputs: The name of the input tensor.
tensorName - Variable in class org.tensorflow.op.core.CopyHost.Inputs: The name of the input tensor.
tensorName - Variable in class org.tensorflow.op.core.Recv.Inputs: The name of the tensor to receive.
tensorName - Variable in class org.tensorflow.op.core.Send.Inputs: The name of the tensor to send.
tensorName - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Name of the input tensor.
tensorName - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: Name of the input tensor.
tensorName - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: Must have a single element.
tensorName(String) - Method in class org.tensorflow.op.core.Copy.Options: Sets the tensorName option.
tensorName(String) - Static method in class org.tensorflow.op.core.Copy: Sets the tensorName option.
tensorName(String) - Method in class org.tensorflow.op.core.CopyHost.Options: Sets the tensorName option.
tensorName(String) - Static method in class org.tensorflow.op.core.CopyHost: Sets the tensorName option.
tensorName(String) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the tensorName option.
tensorName(String) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the tensorName option.
tensorName(String) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the tensorName option.
tensorName(String) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the tensorName option.
tensorNames - Variable in class org.tensorflow.op.tpu.DTensorRestore.Inputs: The tensorNames input
tensorNames - Variable in class org.tensorflow.op.train.Restore.Inputs: shape {N}.
tensorNames - Variable in class org.tensorflow.op.train.Save.Inputs: shape {N}.
tensorNames - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: Shape [N].
tensorOf(Charset, NdArray) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor which is a copy of a given array.
tensorOf(Charset, Shape, DataBuffer) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor with the given shape and data.
tensorOf(NdArray) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor which is a copy of a given array of booleans.
tensorOf(NdArray) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor which is a copy of a given array of bytes.
tensorOf(NdArray) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor which is a copy of a given array of doubles.
tensorOf(NdArray) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor which is a copy of a given array of floats.
tensorOf(NdArray) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor which is a copy of a given array of floats.
tensorOf(NdArray) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor which is a copy of a given array of floats.
tensorOf(NdArray) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor which is a copy of a given array of ints.
tensorOf(NdArray) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor which is a copy of a given array of longs.
tensorOf(NdArray) - Static method in interface org.tensorflow.types.TUint16: Allocates a new tensor which is a copy of a given array of shorts.
tensorOf(NdArray) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor which is a copy of a given array.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TUint16: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor of the given shape.
tensorOf(Shape, Consumer) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer) - Static method in interface org.tensorflow.types.TUint16: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, BooleanDataBuffer) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, ByteDataBuffer) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, DataBuffer) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor with the given shape and data.
tensorOf(Shape, DoubleDataBuffer) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, FloatDataBuffer) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, FloatDataBuffer) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, FloatDataBuffer) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, IntDataBuffer) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, LongDataBuffer) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, ShortDataBuffer) - Static method in interface org.tensorflow.types.TUint16: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Scope, boolean[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of boolean elements.
tensorOf(Scope, boolean[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of boolean elements.
tensorOf(Scope, boolean[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of boolean elements.
tensorOf(Scope, boolean[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of boolean elements.
tensorOf(Scope, boolean[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of boolean elements.
tensorOf(Scope, byte[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of byte elements.
tensorOf(Scope, byte[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of byte elements.
tensorOf(Scope, byte[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of byte elements.
tensorOf(Scope, byte[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of byte elements.
tensorOf(Scope, byte[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of byte elements.
tensorOf(Scope, double[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of double elements.
tensorOf(Scope, double[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of double elements.
tensorOf(Scope, double[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of double elements.
tensorOf(Scope, double[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of double elements.
tensorOf(Scope, double[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of double elements.
tensorOf(Scope, float[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of float elements.
tensorOf(Scope, float[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of float elements.
tensorOf(Scope, float[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of float elements.
tensorOf(Scope, float[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of float elements.
tensorOf(Scope, float[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of float elements.
tensorOf(Scope, int[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of int elements.
tensorOf(Scope, int[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of int elements.
tensorOf(Scope, int[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of int elements.
tensorOf(Scope, int[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of int elements.
tensorOf(Scope, int[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of int elements.
tensorOf(Scope, long[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of long elements.
tensorOf(Scope, long[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of long elements.
tensorOf(Scope, long[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of long elements.
tensorOf(Scope, long[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of long elements.
tensorOf(Scope, long[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of long elements.
tensorOf(Scope, Class, Number) - Static method in class org.tensorflow.op.core.Constant: Creates a scalar of type, with the value of number.
tensorOf(Scope, Class, Shape, ByteDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a constant with data from the given buffer.
tensorOf(Scope, String[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, String[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, String[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, String[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, String[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, Charset, NdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements that is a copy of a given n-dimensional array, using the given encoding.
tensorOf(Scope, Charset, Shape, DataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TString constant with data from the given buffer, using the given encoding.
tensorOf(Scope, BooleanNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of boolean elements that is a copy of a given n-dimensional array.
tensorOf(Scope, ByteNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of byte elements that is a copy of a given n-dimensional array.
tensorOf(Scope, DoubleNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of double elements that is a copy of a given n-dimensional array.
tensorOf(Scope, FloatNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of float elements that is a copy of a given n-dimensional array.
tensorOf(Scope, IntNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of int elements that is a copy of a given n-dimensional array.
tensorOf(Scope, LongNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of long elements that is a copy of a given n-dimensional array.
tensorOf(Scope, NdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements that is a copy of a given n-dimensional array, using the default UTF-8 encoding.
tensorOf(Scope, Shape) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of long elements representing the size of each dimensions of the given shape.
tensorOf(Scope, Shape, BooleanDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TBool constant with data from the given buffer.
tensorOf(Scope, Shape, ByteDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TUint8 constant with data from the given buffer.
tensorOf(Scope, Shape, DataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TString constant with data from the given buffer, using the default UTF-8 encoding.
tensorOf(Scope, Shape, DoubleDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TFloat64 constant with data from the given buffer.
tensorOf(Scope, Shape, FloatDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TFloat32 constant with data from the given buffer.
tensorOf(Scope, Shape, IntDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TInt32 constant with data from the given buffer.
tensorOf(Scope, Shape, LongDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TInt64 constant with data from the given buffer.
tensorOfBytes(NdArray) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor which is a copy of a given array of raw bytes.
tensorOfBytes(Shape, DataBuffer) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor with the given shape and raw bytes.
tensorOfSameType(Scope, Operand, Number) - Static method in class org.tensorflow.op.core.Constant: Creates a scalar of the same type as toMatch, with the value of number.
TensorProto - Class in org.tensorflow.proto: Protocol buffer representing a tensor.
TensorProto.Builder - Class in org.tensorflow.proto: Protocol buffer representing a tensor.
TensorProtoOrBuilder - Interface in org.tensorflow.proto
TensorProtos - Class in org.tensorflow.proto
tensors - Variable in class org.tensorflow.op.data.ListDataset.Inputs: The tensors input
tensors - Variable in class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape.Inputs: The tensors input
tensors - Variable in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape.Inputs: The tensors input
tensors - Variable in class org.tensorflow.op.train.Save.Inputs: N tensors to save.
tensors() - Method in class org.tensorflow.op.tpu.DTensorRestore: Gets tensors.
tensors() - Method in class org.tensorflow.op.train.Restore: Gets tensors. shape {N}.
TENSORS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VariantTensorDataProto
tensorScatterNdAdd(Operand, Operand, Operand, TensorScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops: Adds sparse updates to an existing tensor according to indices.
TensorScatterNdAdd<T> - Class in org.tensorflow.op.core: Adds sparse updates to an existing tensor according to indices.
TensorScatterNdAdd(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdAdd
TensorScatterNdAdd.Inputs<T> - Class in org.tensorflow.op.core
TensorScatterNdAdd.Options - Class in org.tensorflow.op.core: Optional attributes for TensorScatterNdAdd
tensorScatterNdMax(Operand, Operand, Operand, TensorScatterNdMax.Options...) - Method in class org.tensorflow.op.Ops: Apply a sparse update to a tensor taking the element-wise maximum.
TensorScatterNdMax<T> - Class in org.tensorflow.op.core: Apply a sparse update to a tensor taking the element-wise maximum.
TensorScatterNdMax(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdMax
TensorScatterNdMax.Inputs<T> - Class in org.tensorflow.op.core
TensorScatterNdMax.Options - Class in org.tensorflow.op.core: Optional attributes for TensorScatterNdMax
tensorScatterNdMin(Operand, Operand, Operand, TensorScatterNdMin.Options...) - Method in class org.tensorflow.op.Ops: The TensorScatterMin operation
TensorScatterNdMin<T> - Class in org.tensorflow.op.core: The TensorScatterMin operation
TensorScatterNdMin(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdMin
TensorScatterNdMin.Inputs<T> - Class in org.tensorflow.op.core
TensorScatterNdMin.Options - Class in org.tensorflow.op.core: Optional attributes for TensorScatterNdMin
tensorScatterNdSub(Operand, Operand, Operand, TensorScatterNdSub.Options...) - Method in class org.tensorflow.op.Ops: Subtracts sparse updates from an existing tensor according to indices.
TensorScatterNdSub<T> - Class in org.tensorflow.op.core: Subtracts sparse updates from an existing tensor according to indices.
TensorScatterNdSub(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdSub
TensorScatterNdSub.Inputs<T> - Class in org.tensorflow.op.core
TensorScatterNdSub.Options - Class in org.tensorflow.op.core: Optional attributes for TensorScatterNdSub
tensorScatterNdUpdate(Operand, Operand, Operand, TensorScatterNdUpdate.Options...) - Method in class org.tensorflow.op.Ops: Scatter updates into an existing tensor according to indices.
TensorScatterNdUpdate<T> - Class in org.tensorflow.op.core: Scatter updates into an existing tensor according to indices.
TensorScatterNdUpdate(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdUpdate
TensorScatterNdUpdate.Inputs<T> - Class in org.tensorflow.op.core
TensorScatterNdUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for TensorScatterNdUpdate
TensorShapeProto - Class in org.tensorflow.proto: Dimensions of a tensor.
TensorShapeProto.Builder - Class in org.tensorflow.proto: Dimensions of a tensor.
TensorShapeProto.Dim - Class in org.tensorflow.proto: One dimension of the tensor.
TensorShapeProto.Dim.Builder - Class in org.tensorflow.proto: One dimension of the tensor.
TensorShapeProto.DimOrBuilder - Interface in org.tensorflow.proto
TensorShapeProtoOrBuilder - Interface in org.tensorflow.proto
TensorShapeProtos - Class in org.tensorflow.proto
tensorSliceDataset(Iterable, List, TensorSliceDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits each dim-0 slice of components once.
TensorSliceDataset - Class in org.tensorflow.op.data: Creates a dataset that emits each dim-0 slice of components once.
TensorSliceDataset(Operation) - Constructor for class org.tensorflow.op.data.TensorSliceDataset
TensorSliceDataset.Inputs - Class in org.tensorflow.op.data
TensorSliceDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TensorSliceDataset
TensorSliceProto - Class in org.tensorflow.proto: Can only be interpreted if you know the corresponding TensorShape.
TensorSliceProto.Builder - Class in org.tensorflow.proto: Can only be interpreted if you know the corresponding TensorShape.
TensorSliceProto.Extent - Class in org.tensorflow.proto: Extent of the slice in one dimension.
TensorSliceProto.Extent.Builder - Class in org.tensorflow.proto: Extent of the slice in one dimension.
TensorSliceProto.Extent.HasLengthCase - Enum in org.tensorflow.proto
TensorSliceProto.ExtentOrBuilder - Interface in org.tensorflow.proto
TensorSliceProtoOrBuilder - Interface in org.tensorflow.proto
TensorSliceProtos - Class in org.tensorflow.proto
tensorStridedSliceUpdate(Operand, Operand, Operand, Operand, Operand, TensorStridedSliceUpdate.Options...) - Method in class org.tensorflow.op.Ops: Assign value to the sliced l-value reference of input.
TensorStridedSliceUpdate<T> - Class in org.tensorflow.op.core: Assign value to the sliced l-value reference of input.
TensorStridedSliceUpdate(Operation) - Constructor for class org.tensorflow.op.core.TensorStridedSliceUpdate
TensorStridedSliceUpdate.Inputs<T,U> - Class in org.tensorflow.op.core
TensorStridedSliceUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for TensorStridedSliceUpdate
tensorSummary(Operand, Operand, Operand) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with a tensor and per-plugin data.
TensorSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with a tensor and per-plugin data.
TensorSummary(Operation) - Constructor for class org.tensorflow.op.summary.TensorSummary
TensorSummary.Inputs - Class in org.tensorflow.op.summary
tensorType - Variable in class org.tensorflow.op.core.Recv.Inputs: The tensorType attribute
TensorType - Annotation Type in org.tensorflow.types.annotation: Annotation for all tensor types.
TestLog - Class in org.tensorflow.proto.dummy
TestLogProtos - Class in org.tensorflow.proto
TestResults - Class in org.tensorflow.proto: The output of one benchmark / test run.
TestResults.BenchmarkType - Enum in org.tensorflow.proto: The type of benchmark.
TestResults.Builder - Class in org.tensorflow.proto: The output of one benchmark / test run.
TestResultsOrBuilder - Interface in org.tensorflow.proto
textLineDataset(Ops, String, String, long) - Static method in class org.tensorflow.framework.data.Dataset: Creates a TextLineDataset from a file containing one recored per ling.
textLineDataset(Operand, Operand, Operand, TextLineDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits the lines of one or more text files.
TextLineDataset - Class in org.tensorflow.op.data: Creates a dataset that emits the lines of one or more text files.
TextLineDataset(Operation) - Constructor for class org.tensorflow.op.data.TextLineDataset
TextLineDataset.Inputs - Class in org.tensorflow.op.data
TextLineDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TextLineDataset
textLineReader(TextLineReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the lines of a file delimited by '\n'.
TextLineReader - Class in org.tensorflow.op.io: A Reader that outputs the lines of a file delimited by '\n'.
TextLineReader(Operation) - Constructor for class org.tensorflow.op.io.TextLineReader
TextLineReader.Inputs - Class in org.tensorflow.op.io
TextLineReader.Options - Class in org.tensorflow.op.io: Optional attributes for TextLineReader
tf - Variable in class org.tensorflow.framework.activations.AbstractActivation: The TensorFlow Ops
tf - Variable in class org.tensorflow.framework.data.Dataset
tf - Variable in class org.tensorflow.framework.data.DatasetIterator
tf - Variable in class org.tensorflow.framework.data.DatasetOptional
tf - Variable in class org.tensorflow.framework.optimizers.Optimizer: The ops builder for the graph.
TF_ABORTED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_AbortWhile(TF_WhileParams) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddControlInput(TF_OperationDescription, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddGradients(TF_Graph, TF_Output, int, TF_Output, int, TF_Output, TF_Status, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddGradientsWithPrefix(TF_Graph, String, TF_Output, int, TF_Output, int, TF_Output, TF_Status, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddGradientsWithPrefix(TF_Graph, BytePointer, TF_Output, int, TF_Output, int, TF_Output, TF_Status, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddInput(TF_OperationDescription, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddInputList(TF_OperationDescription, TF_Output, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddOperationControlInput(TF_Graph, TF_Operation, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AddWhileInputHack(TF_Graph, TF_Output, TF_Operation, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_align16(long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocateTensor(int, long[], int, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocateTensor(int, LongBuffer, int, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocateTensor(int, LongPointer, int, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ALLOCATOR_ATTRIBUTES_STRUCT_SIZE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_ALLOCATOR_ATTRIBUTES_STRUCT_SIZE() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AllocatorAttributes - Class in org.tensorflow.internal.c_api
TF_AllocatorAttributes() - Constructor for class org.tensorflow.internal.c_api.TF_AllocatorAttributes: Default native constructor.
TF_AllocatorAttributes(long) - Constructor for class org.tensorflow.internal.c_api.TF_AllocatorAttributes: Native array allocator.
TF_AllocatorAttributes(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_AllocatorAttributes: Pointer cast constructor.
TF_ALREADY_EXISTS - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_ApiDefMap - Class in org.tensorflow.internal.c_api
TF_ApiDefMap() - Constructor for class org.tensorflow.internal.c_api.TF_ApiDefMap: Empty constructor.
TF_ApiDefMap(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_ApiDefMap: Pointer cast constructor.
TF_ApiDefMapGet(TF_ApiDefMap, String, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ApiDefMapGet(TF_ApiDefMap, BytePointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ApiDefMapPut(TF_ApiDefMap, String, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ApiDefMapPut(TF_ApiDefMap, BytePointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ATTR_BOOL - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_FLOAT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_FUNC - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_INT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_PLACEHOLDER - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_SHAPE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_STRING - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_TENSOR - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_ATTR_TYPE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_AttrType
TF_AttrBuilder - Class in org.tensorflow.internal.c_api
TF_AttrBuilder() - Constructor for class org.tensorflow.internal.c_api.TF_AttrBuilder: Empty constructor.
TF_AttrBuilder(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_AttrBuilder: Pointer cast constructor.
TF_AttrBuilderCheckCanRunOnDevice(TF_AttrBuilder, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AttrBuilderCheckCanRunOnDevice(TF_AttrBuilder, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AttrBuilderSetType(TF_AttrBuilder, String, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AttrBuilderSetType(TF_AttrBuilder, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AttrBuilderSetTypeList(TF_AttrBuilder, String, int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AttrBuilderSetTypeList(TF_AttrBuilder, String, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AttrBuilderSetTypeList(TF_AttrBuilder, String, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AttrBuilderSetTypeList(TF_AttrBuilder, BytePointer, int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AttrBuilderSetTypeList(TF_AttrBuilder, BytePointer, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AttrBuilderSetTypeList(TF_AttrBuilder, BytePointer, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_AttrMetadata - Class in org.tensorflow.internal.c_api
TF_AttrMetadata() - Constructor for class org.tensorflow.internal.c_api.TF_AttrMetadata: Default native constructor.
TF_AttrMetadata(long) - Constructor for class org.tensorflow.internal.c_api.TF_AttrMetadata: Native array allocator.
TF_AttrMetadata(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_AttrMetadata: Pointer cast constructor.
TF_BFLOAT16 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_BOOL - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_Buffer - Class in org.tensorflow.internal.c_api
TF_Buffer() - Constructor for class org.tensorflow.internal.c_api.TF_Buffer: Default native constructor.
TF_Buffer(long) - Constructor for class org.tensorflow.internal.c_api.TF_Buffer: Native array allocator.
TF_Buffer(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Buffer: Pointer cast constructor.
TF_Buffer.Data_deallocator_Pointer_long - Class in org.tensorflow.internal.c_api
TF_CANCELLED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReader - Class in org.tensorflow.internal.c_api
TF_CheckpointReader() - Constructor for class org.tensorflow.internal.c_api.TF_CheckpointReader: Empty constructor.
TF_CheckpointReader(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_CheckpointReader: Pointer cast constructor.
TF_CheckpointReaderGetTensor(TF_CheckpointReader, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderGetTensor(TF_CheckpointReader, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderGetVariable(TF_CheckpointReader, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderGetVariableDataType(TF_CheckpointReader, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderGetVariableDataType(TF_CheckpointReader, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderGetVariableNumDims(TF_CheckpointReader, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderGetVariableNumDims(TF_CheckpointReader, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderGetVariableShape(TF_CheckpointReader, String, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderGetVariableShape(TF_CheckpointReader, String, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderGetVariableShape(TF_CheckpointReader, String, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderGetVariableShape(TF_CheckpointReader, BytePointer, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderGetVariableShape(TF_CheckpointReader, BytePointer, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderGetVariableShape(TF_CheckpointReader, BytePointer, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderHasTensor(TF_CheckpointReader, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderHasTensor(TF_CheckpointReader, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CheckpointReaderSize(TF_CheckpointReader) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ClearAttr(TF_Graph, TF_Operation, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ClearAttr(TF_Graph, TF_Operation, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CloseDeprecatedSession(TF_DeprecatedSession, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CloseSession(TF_Session, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ColocateWith(TF_OperationDescription, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_COMPLEX - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_COMPLEX128 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_COMPLEX64 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_CreateConfig(byte, byte, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_CreateRunOptions(byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DATA_LOSS - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_DataTypeSize(int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DEADLINE_EXCEEDED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteApiDefMap(TF_ApiDefMap) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteAttrBuilder(TF_AttrBuilder) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteBuffer(TF_Buffer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteCheckpointReader(TF_CheckpointReader) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteDeprecatedSession(TF_DeprecatedSession, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteDeviceList(TF_DeviceList) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteFunction(TF_Function) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteGraph(TF_Graph) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteImportGraphDefOptions(TF_ImportGraphDefOptions) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteImportGraphDefResults(TF_ImportGraphDefResults) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteLibraryHandle(TF_Library) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeletePluggableDeviceLibraryHandle(TF_Library) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeletePRunHandle(String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeletePRunHandle(BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteServer(TF_Server) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteSession(TF_Session, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteSessionOptions(TF_SessionOptions) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteShapeAndTypeList(TF_ShapeAndTypeList) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteShapeAndTypeListArray(PointerPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteShapeAndTypeListArray(TF_ShapeAndTypeList, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteStatus(TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeleteTensor(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeprecatedSession - Class in org.tensorflow.internal.c_api
TF_DeprecatedSession() - Constructor for class org.tensorflow.internal.c_api.TF_DeprecatedSession: Empty constructor.
TF_DeprecatedSession(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_DeprecatedSession: Pointer cast constructor.
TF_DeprecatedSessionListDevices(TF_DeprecatedSession, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DequeueNamedTensor(TF_Session, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeviceList - Class in org.tensorflow.internal.c_api
TF_DeviceList() - Constructor for class org.tensorflow.internal.c_api.TF_DeviceList: Empty constructor.
TF_DeviceList(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_DeviceList: Pointer cast constructor.
TF_DeviceListCount(TF_DeviceList) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeviceListIncarnation(TF_DeviceList, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeviceListMemoryBytes(TF_DeviceList, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeviceListName(TF_DeviceList, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DeviceListType(TF_DeviceList, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Dim(TF_Tensor, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_DOUBLE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_EnableXLACompilation(TF_SessionOptions, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_EnqueueNamedTensor(TF_Session, int, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ExtendGraph(TF_DeprecatedSession, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ExtendSession(TF_Session, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FAILED_PRECONDITION - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_FinishOperation(TF_OperationDescription, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FinishOperationLocked(TF_OperationDescription, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FinishWhile(TF_WhileParams, TF_Status, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FLOAT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_FLOAT8_E4M3FN - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_FLOAT8_E5M2 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_Function - Class in org.tensorflow.internal.c_api
TF_Function() - Constructor for class org.tensorflow.internal.c_api.TF_Function: Empty constructor.
TF_Function(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Function: Pointer cast constructor.
TF_FunctionDebugString(TF_Function, SizeTPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionGetAttrValueProto(TF_Function, String, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionGetAttrValueProto(TF_Function, BytePointer, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionImportFunctionDef(Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionName(TF_Function) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionOptions - Class in org.tensorflow.internal.c_api
TF_FunctionOptions() - Constructor for class org.tensorflow.internal.c_api.TF_FunctionOptions: Empty constructor.
TF_FunctionOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_FunctionOptions: Pointer cast constructor.
TF_FunctionSetAttrValueProto(TF_Function, String, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionSetAttrValueProto(TF_Function, BytePointer, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_FunctionToFunctionDef(TF_Function, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetAllOpList() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetAllRegisteredKernels(TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetBuffer(TF_Buffer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetCode(TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetHandleShapeAndType(TF_Graph, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetNumberAttrForOpListInput(String, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetNumberAttrForOpListInput(BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetOpList(TF_Library) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetRegisteredKernelsForOp(String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetRegisteredKernelsForOp(BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetXlaAutoJitEnabled() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GetXlaConstantFoldingDisabled() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Graph - Class in org.tensorflow.internal.c_api
TF_Graph() - Constructor for class org.tensorflow.internal.c_api.TF_Graph: Empty constructor.
TF_Graph(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Graph: Pointer cast constructor.
TF_GraphCopyFunction(TF_Graph, TF_Function, TF_Function, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphDebugString(TF_Graph, SizeTPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetFunctions(TF_Graph, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetFunctions(TF_Graph, TF_Function, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetOpDef(TF_Graph, String, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetOpDef(TF_Graph, BytePointer, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetTensorNumDims(TF_Graph, TF_Output, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetTensorShape(TF_Graph, TF_Output, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetTensorShape(TF_Graph, TF_Output, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphGetTensorShape(TF_Graph, TF_Output, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphImportGraphDef(TF_Graph, TF_Buffer, TF_ImportGraphDefOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphImportGraphDefWithResults(TF_Graph, TF_Buffer, TF_ImportGraphDefOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphImportGraphDefWithResultsNoSerialization(TF_Graph, TF_Buffer, TF_ImportGraphDefOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphImportGraphDefWithReturnOutputs(TF_Graph, TF_Buffer, TF_ImportGraphDefOptions, TF_Output, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphNextOperation(TF_Graph, SizeTPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphNumFunctions(TF_Graph) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphOperationByName(TF_Graph, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphOperationByName(TF_Graph, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphRemoveFunction(TF_Graph, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphRemoveFunction(TF_Graph, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphSetTensorShape(TF_Graph, TF_Output, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphSetTensorShape(TF_Graph, TF_Output, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphSetTensorShape(TF_Graph, TF_Output, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, String, byte, int, TF_Operation, int, TF_Output, int, TF_Output, byte[], TF_FunctionOptions, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, String, byte, int, TF_Operation, int, TF_Output, int, TF_Output, ByteBuffer, TF_FunctionOptions, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, String, byte, int, TF_Operation, int, TF_Output, int, TF_Output, BytePointer, TF_FunctionOptions, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, BytePointer, byte, int, PointerPointer, int, TF_Output, int, TF_Output, PointerPointer, TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, BytePointer, byte, int, TF_Operation, int, TF_Output, int, TF_Output, byte[], TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, BytePointer, byte, int, TF_Operation, int, TF_Output, int, TF_Output, ByteBuffer, TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunction(TF_Graph, BytePointer, byte, int, TF_Operation, int, TF_Output, int, TF_Output, BytePointer, TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, String, byte, int, TF_Operation, int, TF_Output, int, TF_Output, byte[], int, TF_Operation, byte[], TF_FunctionOptions, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, String, byte, int, TF_Operation, int, TF_Output, int, TF_Output, ByteBuffer, int, TF_Operation, ByteBuffer, TF_FunctionOptions, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, String, byte, int, TF_Operation, int, TF_Output, int, TF_Output, BytePointer, int, TF_Operation, BytePointer, TF_FunctionOptions, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, BytePointer, byte, int, PointerPointer, int, TF_Output, int, TF_Output, PointerPointer, int, PointerPointer, PointerPointer, TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, BytePointer, byte, int, TF_Operation, int, TF_Output, int, TF_Output, byte[], int, TF_Operation, byte[], TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, BytePointer, byte, int, TF_Operation, int, TF_Output, int, TF_Output, ByteBuffer, int, TF_Operation, ByteBuffer, TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToFunctionWithControlOutputs(TF_Graph, BytePointer, byte, int, TF_Operation, int, TF_Output, int, TF_Output, BytePointer, int, TF_Operation, BytePointer, TF_FunctionOptions, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphToGraphDef(TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_GraphVersions(TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_HALF - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_ImportGraphDefOptions - Class in org.tensorflow.internal.c_api
TF_ImportGraphDefOptions() - Constructor for class org.tensorflow.internal.c_api.TF_ImportGraphDefOptions: Empty constructor.
TF_ImportGraphDefOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_ImportGraphDefOptions: Pointer cast constructor.
TF_ImportGraphDefOptionsAddControlDependency(TF_ImportGraphDefOptions, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsAddInputMapping(TF_ImportGraphDefOptions, String, int, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsAddInputMapping(TF_ImportGraphDefOptions, BytePointer, int, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsAddReturnOperation(TF_ImportGraphDefOptions, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsAddReturnOperation(TF_ImportGraphDefOptions, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsAddReturnOutput(TF_ImportGraphDefOptions, String, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsAddReturnOutput(TF_ImportGraphDefOptions, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsNumReturnOperations(TF_ImportGraphDefOptions) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsNumReturnOutputs(TF_ImportGraphDefOptions) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsRemapControlDependency(TF_ImportGraphDefOptions, String, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsRemapControlDependency(TF_ImportGraphDefOptions, BytePointer, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetDefaultDevice(TF_ImportGraphDefOptions, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetDefaultDevice(TF_ImportGraphDefOptions, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetPrefix(TF_ImportGraphDefOptions, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetPrefix(TF_ImportGraphDefOptions, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetUniquifyNames(TF_ImportGraphDefOptions, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetUniquifyPrefix(TF_ImportGraphDefOptions, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefOptionsSetValidateColocationConstraints(TF_ImportGraphDefOptions, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResults - Class in org.tensorflow.internal.c_api
TF_ImportGraphDefResults() - Constructor for class org.tensorflow.internal.c_api.TF_ImportGraphDefResults: Empty constructor.
TF_ImportGraphDefResults(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_ImportGraphDefResults: Pointer cast constructor.
TF_ImportGraphDefResultsMissingUnusedInputMappings(TF_ImportGraphDefResults, int[], PointerPointer, int[]) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsMissingUnusedInputMappings(TF_ImportGraphDefResults, IntBuffer, PointerPointer, IntBuffer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsMissingUnusedInputMappings(TF_ImportGraphDefResults, IntPointer, PointerPointer, IntPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsMissingUnusedInputMappings(TF_ImportGraphDefResults, IntPointer, PointerPointer, PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOperations(TF_ImportGraphDefResults, int[], PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOperations(TF_ImportGraphDefResults, IntBuffer, PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOperations(TF_ImportGraphDefResults, IntPointer, PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOutputs(TF_ImportGraphDefResults, int[], TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOutputs(TF_ImportGraphDefResults, IntBuffer, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOutputs(TF_ImportGraphDefResults, IntPointer, PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ImportGraphDefResultsReturnOutputs(TF_ImportGraphDefResults, IntPointer, TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_InitMain(String, int[], PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_InitMain(String, IntBuffer, PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_InitMain(String, IntPointer, PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_InitMain(BytePointer, int[], PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_InitMain(BytePointer, IntBuffer, PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_InitMain(BytePointer, IntPointer, PointerPointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Input - Class in org.tensorflow.internal.c_api
TF_Input() - Constructor for class org.tensorflow.internal.c_api.TF_Input: Default native constructor.
TF_Input(long) - Constructor for class org.tensorflow.internal.c_api.TF_Input: Native array allocator.
TF_Input(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Input: Pointer cast constructor.
TF_INT16 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_INT32 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_INT4 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_INT64 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_INT8 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_INTERNAL - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_INVALID_ARGUMENT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_Library - Class in org.tensorflow.internal.c_api
TF_Library() - Constructor for class org.tensorflow.internal.c_api.TF_Library: Empty constructor.
TF_Library(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Library: Pointer cast constructor.
TF_LoadLibrary(String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadLibrary(BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadPluggableDeviceLibrary(String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadPluggableDeviceLibrary(BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, String, byte[], int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, String, ByteBuffer, int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, String, BytePointer, int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, BytePointer, byte[], int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, BytePointer, ByteBuffer, int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, BytePointer, BytePointer, int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_LoadSessionFromSavedModel(TF_SessionOptions, TF_Buffer, BytePointer, PointerPointer, int, TF_Graph, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_MakeInternalErrorStatus(TF_Status, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_MakeInternalErrorStatus(TF_Status, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_max(long, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Message(TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_min(long, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewApiDefMap(TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewAttrBuilder(String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewAttrBuilder(BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewBuffer() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewBufferFromString(Pointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewCheckpointReader(String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewCheckpointReader(BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewDeprecatedSession(TF_SessionOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewGraph() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewImportGraphDefOptions() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewOperation(TF_Graph, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewOperation(TF_Graph, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewOperationLocked(TF_Graph, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewOperationLocked(TF_Graph, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewServer(Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewSession(TF_Graph, TF_SessionOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewSessionOptions() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewShapeAndTypeList(int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewStatus() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewTensor(int, long[], int, Pointer, long, Deallocator_Pointer_long_Pointer, Pointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewTensor(int, LongBuffer, int, Pointer, long, Deallocator_Pointer_long_Pointer, Pointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewTensor(int, LongPointer, int, Pointer, long, Deallocator_Pointer_long_Pointer, Pointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NewWhile(TF_Graph, TF_Output, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_NOT_FOUND - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_NumDims(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OK - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_Operation - Class in org.tensorflow.internal.c_api
TF_Operation() - Constructor for class org.tensorflow.internal.c_api.TF_Operation: Empty constructor.
TF_Operation(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Operation: Pointer cast constructor.
TF_OperationAllInputs(TF_Operation, TF_Output, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationDescription - Class in org.tensorflow.internal.c_api
TF_OperationDescription() - Constructor for class org.tensorflow.internal.c_api.TF_OperationDescription: Empty constructor.
TF_OperationDescription(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_OperationDescription: Pointer cast constructor.
TF_OperationDevice(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBool(TF_Operation, String, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBool(TF_Operation, String, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBool(TF_Operation, String, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBool(TF_Operation, BytePointer, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBool(TF_Operation, BytePointer, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBool(TF_Operation, BytePointer, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBoolList(TF_Operation, String, byte[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBoolList(TF_Operation, String, ByteBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBoolList(TF_Operation, String, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBoolList(TF_Operation, BytePointer, byte[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBoolList(TF_Operation, BytePointer, ByteBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrBoolList(TF_Operation, BytePointer, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloat(TF_Operation, String, float[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloat(TF_Operation, String, FloatBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloat(TF_Operation, String, FloatPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloat(TF_Operation, BytePointer, float[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloat(TF_Operation, BytePointer, FloatBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloat(TF_Operation, BytePointer, FloatPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloatList(TF_Operation, String, float[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloatList(TF_Operation, String, FloatBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloatList(TF_Operation, String, FloatPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloatList(TF_Operation, BytePointer, float[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloatList(TF_Operation, BytePointer, FloatBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrFloatList(TF_Operation, BytePointer, FloatPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrInt(TF_Operation, String, long[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrInt(TF_Operation, String, LongBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrInt(TF_Operation, String, LongPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrInt(TF_Operation, BytePointer, long[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrInt(TF_Operation, BytePointer, LongBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrInt(TF_Operation, BytePointer, LongPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrIntList(TF_Operation, String, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrIntList(TF_Operation, String, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrIntList(TF_Operation, String, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrIntList(TF_Operation, BytePointer, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrIntList(TF_Operation, BytePointer, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrIntList(TF_Operation, BytePointer, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrMetadata(TF_Operation, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrMetadata(TF_Operation, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrName(TF_Operation, int, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrName(TF_Operation, int, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrName(TF_Operation, int, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrNameLength(TF_Operation, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShape(TF_Operation, String, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShape(TF_Operation, String, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShape(TF_Operation, String, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShape(TF_Operation, BytePointer, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShape(TF_Operation, BytePointer, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShape(TF_Operation, BytePointer, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, String, long[], int[], int, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, String, LongBuffer, IntBuffer, int, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, String, LongPointer, IntPointer, int, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, BytePointer, long[], int[], int, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, BytePointer, LongBuffer, IntBuffer, int, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, BytePointer, LongPointer, IntPointer, int, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrShapeList(TF_Operation, BytePointer, PointerPointer, IntPointer, int, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrString(TF_Operation, String, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrString(TF_Operation, BytePointer, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrStringList(TF_Operation, String, Pointer, SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrStringList(TF_Operation, BytePointer, PointerPointer, SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrStringList(TF_Operation, BytePointer, Pointer, SizeTPointer, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensor(TF_Operation, String, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensor(TF_Operation, BytePointer, PointerPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensor(TF_Operation, BytePointer, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorList(TF_Operation, String, TF_Tensor, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorList(TF_Operation, BytePointer, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorList(TF_Operation, BytePointer, TF_Tensor, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorShapeProto(TF_Operation, String, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorShapeProto(TF_Operation, BytePointer, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorShapeProtoList(TF_Operation, String, TF_Buffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorShapeProtoList(TF_Operation, BytePointer, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTensorShapeProtoList(TF_Operation, BytePointer, TF_Buffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrType(TF_Operation, String, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrType(TF_Operation, String, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrType(TF_Operation, String, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrType(TF_Operation, BytePointer, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrType(TF_Operation, BytePointer, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrType(TF_Operation, BytePointer, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTypeList(TF_Operation, String, int[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTypeList(TF_Operation, String, IntBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTypeList(TF_Operation, String, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTypeList(TF_Operation, BytePointer, int[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTypeList(TF_Operation, BytePointer, IntBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrTypeList(TF_Operation, BytePointer, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrValueProto(TF_Operation, String, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetAttrValueProto(TF_Operation, BytePointer, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetControlInputs(TF_Operation, PointerPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetControlInputs(TF_Operation, TF_Operation, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetControlOutputs(TF_Operation, PointerPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetControlOutputs(TF_Operation, TF_Operation, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationGetNumAttrs(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationInput(TF_Input) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationInputListLength(TF_Operation, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationInputListLength(TF_Operation, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationInputType(TF_Input) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationName(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationNumControlInputs(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationNumControlOutputs(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationNumInputs(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationNumOutputs(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationOpType(TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationOutputConsumers(TF_Output, TF_Input, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationOutputListLength(TF_Operation, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationOutputListLength(TF_Operation, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationOutputNumConsumers(TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationOutputType(TF_Output) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OperationToNodeDef(TF_Operation, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpIsStateful(String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OpIsStateful(BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_OUT_OF_RANGE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_Output - Class in org.tensorflow.internal.c_api
TF_Output() - Constructor for class org.tensorflow.internal.c_api.TF_Output: Default native constructor.
TF_Output(long) - Constructor for class org.tensorflow.internal.c_api.TF_Output: Native array allocator.
TF_Output(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Output: Pointer cast constructor.
TF_PERMISSION_DENIED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_PickUnusedPortOrDie() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, String, byte[], TF_Tensor, int, byte[], TF_Tensor, int, byte[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, String, ByteBuffer, TF_Tensor, int, ByteBuffer, TF_Tensor, int, ByteBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, String, BytePointer, TF_Tensor, int, BytePointer, TF_Tensor, int, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, BytePointer, byte[], TF_Tensor, int, byte[], TF_Tensor, int, byte[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, BytePointer, ByteBuffer, TF_Tensor, int, ByteBuffer, TF_Tensor, int, ByteBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, BytePointer, BytePointer, TF_Tensor, int, BytePointer, TF_Tensor, int, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRun(TF_DeprecatedSession, BytePointer, PointerPointer, PointerPointer, int, PointerPointer, PointerPointer, int, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRunSetup(TF_DeprecatedSession, byte[], int, byte[], int, byte[], int, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRunSetup(TF_DeprecatedSession, ByteBuffer, int, ByteBuffer, int, ByteBuffer, int, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRunSetup(TF_DeprecatedSession, BytePointer, int, BytePointer, int, BytePointer, int, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_PRunSetup(TF_DeprecatedSession, PointerPointer, int, PointerPointer, int, PointerPointer, int, PointerPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_QINT16 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_QINT32 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_QINT8 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_QUINT16 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_QUINT8 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_RegisterFilesystemPlugin(String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_RegisterFilesystemPlugin(BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_RegisterLogListener(Listener_BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_RegisterLogListener(Listener_String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_RemoveAllControlInputs(TF_Graph, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Reset(TF_SessionOptions, byte[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Reset(TF_SessionOptions, ByteBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Reset(TF_SessionOptions, BytePointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Reset(TF_SessionOptions, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_RESOURCE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_RESOURCE_EXHAUSTED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_Run(TF_DeprecatedSession, TF_Buffer, byte[], TF_Tensor, int, byte[], TF_Tensor, int, byte[], int, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Run(TF_DeprecatedSession, TF_Buffer, ByteBuffer, TF_Tensor, int, ByteBuffer, TF_Tensor, int, ByteBuffer, int, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Run(TF_DeprecatedSession, TF_Buffer, BytePointer, TF_Tensor, int, BytePointer, TF_Tensor, int, BytePointer, int, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Run(TF_DeprecatedSession, TF_Buffer, PointerPointer, PointerPointer, int, PointerPointer, PointerPointer, int, PointerPointer, int, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Server - Class in org.tensorflow.internal.c_api
TF_Server() - Constructor for class org.tensorflow.internal.c_api.TF_Server: Empty constructor.
TF_Server(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Server: Pointer cast constructor.
TF_ServerJoin(TF_Server, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ServerStart(TF_Server, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ServerStop(TF_Server, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ServerTarget(TF_Server) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Session - Class in org.tensorflow.internal.c_api
TF_Session() - Constructor for class org.tensorflow.internal.c_api.TF_Session: Empty constructor.
TF_Session(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Session: Pointer cast constructor.
TF_SessionListDevices(TF_Session, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionOptions - Class in org.tensorflow.internal.c_api
TF_SessionOptions() - Constructor for class org.tensorflow.internal.c_api.TF_SessionOptions: Empty constructor.
TF_SessionOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_SessionOptions: Pointer cast constructor.
TF_SessionPRun(TF_Session, String, TF_Output, TF_Tensor, int, TF_Output, TF_Tensor, int, TF_Operation, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionPRun(TF_Session, BytePointer, TF_Output, PointerPointer, int, TF_Output, PointerPointer, int, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionPRun(TF_Session, BytePointer, TF_Output, TF_Tensor, int, TF_Output, TF_Tensor, int, TF_Operation, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionPRunSetup(TF_Session, TF_Output, int, TF_Output, int, PointerPointer, int, PointerPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionPRunSetup(TF_Session, TF_Output, int, TF_Output, int, TF_Operation, int, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionPRunSetup(TF_Session, TF_Output, int, TF_Output, int, TF_Operation, int, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionPRunSetup(TF_Session, TF_Output, int, TF_Output, int, TF_Operation, int, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionRun(TF_Session, TF_Buffer, TF_Output, PointerPointer, int, TF_Output, PointerPointer, int, PointerPointer, int, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SessionRun(TF_Session, TF_Buffer, TF_Output, TF_Tensor, int, TF_Output, TF_Tensor, int, TF_Operation, int, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttr(TF_Graph, TF_Operation, String, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttr(TF_Graph, TF_Operation, BytePointer, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBool(TF_OperationDescription, String, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBool(TF_OperationDescription, BytePointer, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBoolList(TF_OperationDescription, String, byte[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBoolList(TF_OperationDescription, String, ByteBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBoolList(TF_OperationDescription, String, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBoolList(TF_OperationDescription, BytePointer, byte[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBoolList(TF_OperationDescription, BytePointer, ByteBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrBoolList(TF_OperationDescription, BytePointer, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloat(TF_OperationDescription, String, float) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloat(TF_OperationDescription, BytePointer, float) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloatList(TF_OperationDescription, String, float[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloatList(TF_OperationDescription, String, FloatBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloatList(TF_OperationDescription, String, FloatPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloatList(TF_OperationDescription, BytePointer, float[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloatList(TF_OperationDescription, BytePointer, FloatBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFloatList(TF_OperationDescription, BytePointer, FloatPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFuncName(TF_OperationDescription, String, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrFuncName(TF_OperationDescription, BytePointer, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrInt(TF_OperationDescription, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrInt(TF_OperationDescription, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrIntList(TF_OperationDescription, String, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrIntList(TF_OperationDescription, String, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrIntList(TF_OperationDescription, String, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrIntList(TF_OperationDescription, BytePointer, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrIntList(TF_OperationDescription, BytePointer, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrIntList(TF_OperationDescription, BytePointer, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrPlaceholder(TF_OperationDescription, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrPlaceholder(TF_OperationDescription, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShape(TF_OperationDescription, String, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShape(TF_OperationDescription, String, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShape(TF_OperationDescription, String, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShape(TF_OperationDescription, BytePointer, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShape(TF_OperationDescription, BytePointer, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShape(TF_OperationDescription, BytePointer, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, String, long[], int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, String, LongBuffer, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, String, LongPointer, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, BytePointer, long[], int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, BytePointer, LongBuffer, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, BytePointer, LongPointer, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrShapeList(TF_OperationDescription, BytePointer, PointerPointer, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrString(TF_OperationDescription, String, Pointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrString(TF_OperationDescription, BytePointer, Pointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrStringList(TF_OperationDescription, String, Pointer, SizeTPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrStringList(TF_OperationDescription, BytePointer, PointerPointer, SizeTPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrStringList(TF_OperationDescription, BytePointer, Pointer, SizeTPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensor(TF_OperationDescription, String, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensor(TF_OperationDescription, BytePointer, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorList(TF_OperationDescription, String, TF_Tensor, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorList(TF_OperationDescription, BytePointer, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorList(TF_OperationDescription, BytePointer, TF_Tensor, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorShapeProto(TF_OperationDescription, String, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorShapeProto(TF_OperationDescription, BytePointer, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorShapeProtoList(TF_OperationDescription, String, Pointer, SizeTPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorShapeProtoList(TF_OperationDescription, BytePointer, PointerPointer, SizeTPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTensorShapeProtoList(TF_OperationDescription, BytePointer, Pointer, SizeTPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrType(TF_OperationDescription, String, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrType(TF_OperationDescription, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTypeList(TF_OperationDescription, String, int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTypeList(TF_OperationDescription, String, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTypeList(TF_OperationDescription, String, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTypeList(TF_OperationDescription, BytePointer, int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTypeList(TF_OperationDescription, BytePointer, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrTypeList(TF_OperationDescription, BytePointer, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrValueProto(TF_OperationDescription, String, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetAttrValueProto(TF_OperationDescription, BytePointer, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetConfig(TF_SessionOptions, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetDevice(TF_OperationDescription, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetDevice(TF_OperationDescription, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetFullType(TF_Graph, TF_Operation, TF_Buffer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetHandleShapeAndType(TF_Graph, TF_Output, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetPayload(TF_Status, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetPayload(TF_Status, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetRequestedDevice(TF_Graph, TF_Operation, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetRequestedDevice(TF_Graph, TF_Operation, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetRequireShapeInferenceFns(TF_Graph, boolean) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetShape(TF_Tensor, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetShape(TF_Tensor, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetShape(TF_Tensor, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetStatus(TF_Status, int, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetStatus(TF_Status, int, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetStatusFromIOError(TF_Status, int, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetStatusFromIOError(TF_Status, int, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetTarget(TF_SessionOptions, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetTarget(TF_SessionOptions, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetTfXlaCpuGlobalJit(byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetXlaAutoJitMode(String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetXlaAutoJitMode(BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetXlaConstantFoldingDisabled(byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetXlaEnableLazyCompilation(byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_SetXlaMinClusterSize(int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeAndType - Class in org.tensorflow.internal.c_api
TF_ShapeAndType() - Constructor for class org.tensorflow.internal.c_api.TF_ShapeAndType: Default native constructor.
TF_ShapeAndType(long) - Constructor for class org.tensorflow.internal.c_api.TF_ShapeAndType: Native array allocator.
TF_ShapeAndType(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_ShapeAndType: Pointer cast constructor.
TF_ShapeAndTypeList - Class in org.tensorflow.internal.c_api
TF_ShapeAndTypeList() - Constructor for class org.tensorflow.internal.c_api.TF_ShapeAndTypeList: Default native constructor.
TF_ShapeAndTypeList(long) - Constructor for class org.tensorflow.internal.c_api.TF_ShapeAndTypeList: Native array allocator.
TF_ShapeAndTypeList(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_ShapeAndTypeList: Pointer cast constructor.
TF_ShapeAndTypeListSetDtype(TF_ShapeAndTypeList, int, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeAndTypeListSetShape(TF_ShapeAndTypeList, int, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeAndTypeListSetShape(TF_ShapeAndTypeList, int, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeAndTypeListSetShape(TF_ShapeAndTypeList, int, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_ShapeAndTypeListSetUnknownShape(TF_ShapeAndTypeList, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Status - Class in org.tensorflow.internal.c_api
TF_Status() - Constructor for class org.tensorflow.internal.c_api.TF_Status: Empty constructor.
TF_Status(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Status: Pointer cast constructor.
TF_STRING - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_StringAssignView(TF_TString, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringAssignView(TF_TString, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringCopy(TF_TString, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringCopy(TF_TString, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringDealloc(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringGetCapacity(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringGetDataPointer(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringGetSize(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringGetType(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringInit(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_StringView - Class in org.tensorflow.internal.c_api
TF_StringView() - Constructor for class org.tensorflow.internal.c_api.TF_StringView: Default native constructor.
TF_StringView(long) - Constructor for class org.tensorflow.internal.c_api.TF_StringView: Native array allocator.
TF_StringView(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_StringView: Pointer cast constructor.
TF_swap32(int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_Tensor - Class in org.tensorflow.internal.c_api
TF_Tensor() - Constructor for class org.tensorflow.internal.c_api.TF_Tensor: Empty constructor.
TF_Tensor(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_Tensor: Pointer cast constructor.
TF_TensorBitcastFrom(TF_Tensor, int, TF_Tensor, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorBitcastFrom(TF_Tensor, int, TF_Tensor, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorBitcastFrom(TF_Tensor, int, TF_Tensor, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorByteSize(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorData(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorDefaultAlignment() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorElementCount(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorFromProto(TF_Buffer, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorIsAligned(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorMaybeMove(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TensorType(TF_Tensor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TryEvaluateConstant(TF_Graph, TF_Output, PointerPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TryEvaluateConstant(TF_Graph, TF_Output, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TSTR_LARGE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_TString_Type
TF_TSTR_OFFSET - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_TString_Type
TF_TSTR_SMALL - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_TString_Type
TF_TSTR_TYPE_MASK - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_TString_Type
TF_TSTR_VIEW - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_TString_Type
TF_TString - Class in org.tensorflow.internal.c_api
TF_TString() - Constructor for class org.tensorflow.internal.c_api.TF_TString: Default native constructor.
TF_TString(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString: Native array allocator.
TF_TString(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString: Pointer cast constructor.
TF_TString_Append(TF_TString, TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_AppendN(TF_TString, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_AppendN(TF_TString, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Assign(TF_TString, TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_AssignView(TF_TString, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_AssignView(TF_TString, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Copy(TF_TString, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Copy(TF_TString, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Dealloc(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_GetCapacity(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_GetDataPointer(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_GetMutableDataPointer(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_GetSize(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_GetType(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Init(TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Large - Class in org.tensorflow.internal.c_api
TF_TString_Large() - Constructor for class org.tensorflow.internal.c_api.TF_TString_Large: Default native constructor.
TF_TString_Large(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Large: Native array allocator.
TF_TString_Large(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Large: Pointer cast constructor.
TF_TSTRING_LITTLE_ENDIAN - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Move(TF_TString, TF_TString) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Offset - Class in org.tensorflow.internal.c_api
TF_TString_Offset() - Constructor for class org.tensorflow.internal.c_api.TF_TString_Offset: Default native constructor.
TF_TString_Offset(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Offset: Native array allocator.
TF_TString_Offset(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Offset: Pointer cast constructor.
TF_TString_Raw - Class in org.tensorflow.internal.c_api
TF_TString_Raw() - Constructor for class org.tensorflow.internal.c_api.TF_TString_Raw: Default native constructor.
TF_TString_Raw(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Raw: Native array allocator.
TF_TString_Raw(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Raw: Pointer cast constructor.
TF_TString_Reserve(TF_TString, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_ReserveAmortized(TF_TString, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Resize(TF_TString, long, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_ResizeUninitialized(TF_TString, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Small - Class in org.tensorflow.internal.c_api
TF_TString_Small() - Constructor for class org.tensorflow.internal.c_api.TF_TString_Small: Default native constructor.
TF_TString_Small(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Small: Native array allocator.
TF_TString_Small(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Small: Pointer cast constructor.
TF_TString_SmallCapacity - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_SmallCapacity() - Static method in class org.tensorflow.internal.c_api.global.tensorflow: enum
TF_TString_ToActualSizeT(long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_ToInternalSizeT(long, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_TString_Union - Class in org.tensorflow.internal.c_api
TF_TString_Union() - Constructor for class org.tensorflow.internal.c_api.TF_TString_Union: Default native constructor.
TF_TString_Union(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Union: Native array allocator.
TF_TString_Union(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString_Union: Pointer cast constructor.
TF_TString_View - Class in org.tensorflow.internal.c_api
TF_TString_View() - Constructor for class org.tensorflow.internal.c_api.TF_TString_View: Default native constructor.
TF_TString_View(long) - Constructor for class org.tensorflow.internal.c_api.TF_TString_View: Native array allocator.
TF_TString_View(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_TString_View: Pointer cast constructor.
TF_UINT16 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_UINT32 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_UINT4 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_UINT64 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_UINT8 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_UNAUTHENTICATED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_UNAVAILABLE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_UNIMPLEMENTED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_UNKNOWN - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TF_UpdateEdge(TF_Graph, TF_Output, TF_Input, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_VARIANT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TF_DataType
TF_Version() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TF_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TestResults
TF_WhileParams - Class in org.tensorflow.internal.c_api
TF_WhileParams(Pointer) - Constructor for class org.tensorflow.internal.c_api.TF_WhileParams: Pointer cast constructor.
TF_XLA_BRIDGE - Enum constant in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: Old bridge.
TF_XLA_BRIDGE_VALUE - Static variable in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: Old bridge.
TFDBG_CONTEXT_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphExecutionTrace
TFDBG_RUN_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugMetadata
TFE_AbortCollectiveOps(TFE_Context, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_AllocateHostTensor(TFE_Context, int, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_AllocateHostTensor(TFE_Context, int, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_AllocateHostTensor(TFE_Context, int, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CancelCallback - Class in org.tensorflow.internal.c_api
TFE_CancelCallback() - Constructor for class org.tensorflow.internal.c_api.TFE_CancelCallback: Default native constructor.
TFE_CancelCallback(long) - Constructor for class org.tensorflow.internal.c_api.TFE_CancelCallback: Native array allocator.
TFE_CancelCallback(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CancelCallback: Pointer cast constructor.
TFE_CancelCallback.Callback_Pointer - Class in org.tensorflow.internal.c_api
TFE_CancellationManager - Class in org.tensorflow.internal.c_api
TFE_CancellationManager() - Constructor for class org.tensorflow.internal.c_api.TFE_CancellationManager: Empty constructor.
TFE_CancellationManager(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CancellationManager: Pointer cast constructor.
TFE_CancellationManagerDeregisterCallback(TFE_CancellationManager, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CancellationManagerGetToken(TFE_CancellationManager) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CancellationManagerIsCancelled(TFE_CancellationManager) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CancellationManagerIsCancelling(TFE_CancellationManager) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CancellationManagerRegisterCallback(TFE_CancellationManager, long, TFE_CancelCallback, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CancellationManagerRegisterCallback(TFE_CancellationManager, long, TFE_CancelCallback, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CancellationManagerStartCancel(TFE_CancellationManager) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CancellationManagerTryDeregisterCallback(TFE_CancellationManager, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CollectiveOpsCheckPeerHealth(TFE_Context, String, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CollectiveOpsCheckPeerHealth(TFE_Context, BytePointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_Context - Class in org.tensorflow.internal.c_api
TFE_Context() - Constructor for class org.tensorflow.internal.c_api.TFE_Context: Empty constructor.
TFE_Context(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_Context: Pointer cast constructor.
TFE_ContextAddFunction(TFE_Context, TF_Function, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextAddFunctionDef(TFE_Context, String, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextAddFunctionDef(TFE_Context, BytePointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextAsyncWait(TFE_Context, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextCheckAlive(TFE_Context, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextCheckAlive(TFE_Context, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextClearCaches(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextDisableGraphCollection(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextDisableRunMetadata(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextEnableGraphCollection(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextEnableRunMetadata(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextEndStep(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextExportRunMetadata(TFE_Context, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextGetDevicePlacementPolicy(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextGetExecutorForThread(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextGetFunction(TFE_Context, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextGetFunction(TFE_Context, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextGetFunctionDef(TFE_Context, String, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextGetFunctionDef(TFE_Context, BytePointer, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextGetGraphDebugInfo(TFE_Context, String, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextGetGraphDebugInfo(TFE_Context, BytePointer, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextHasFunction(TFE_Context, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextHasFunction(TFE_Context, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextListDevices(TFE_Context, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextOptions - Class in org.tensorflow.internal.c_api
TFE_ContextOptions() - Constructor for class org.tensorflow.internal.c_api.TFE_ContextOptions: Empty constructor.
TFE_ContextOptions(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_ContextOptions: Pointer cast constructor.
TFE_ContextOptionsSetAsync(TFE_ContextOptions, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextOptionsSetConfig(TFE_ContextOptions, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextOptionsSetDevicePlacementPolicy(TFE_ContextOptions, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextOptionsSetTfrt(TFE_ContextOptions, boolean) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextRemoveFunction(TFE_Context, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextRemoveFunction(TFE_Context, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextSetExecutorForThread(TFE_Context, TFE_Executor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextSetJitCompileRewrite(TFE_Context, byte, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextSetLogDevicePlacement(TFE_Context, byte, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextSetRunEagerOpAsFunction(TFE_Context, byte, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextSetServerDef(TFE_Context, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextSetServerDefWithTimeout(TFE_Context, int, Pointer, long, long, TF_Status, boolean) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextSetServerDefWithTimeoutAndRetries(TFE_Context, int, Pointer, long, long, int, TF_Status, boolean) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextSetSoftDevicePlacement(TFE_Context, byte, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextSetThreadLocalDevicePlacementPolicy(TFE_Context, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextStartStep(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextUpdateServerDef(TFE_Context, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ContextUpdateServerDefWithTimeout(TFE_Context, int, Pointer, long, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CreatePackedTensorHandle(TFE_Context, PointerPointer, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CreatePackedTensorHandle(TFE_Context, TFE_TensorHandle, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CreatePackedTensorHandle(TFE_Context, TFE_TensorHandle, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CreatePackedTensorHandle(TFE_Context, TFE_TensorHandle, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CUSTOM_DEVICE_VERSION - Static variable in class org.tensorflow.internal.c_api.global.tensorflow
TFE_CustomDevice - Class in org.tensorflow.internal.c_api
TFE_CustomDevice() - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice: Default native constructor.
TFE_CustomDevice(long) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice: Native array allocator.
TFE_CustomDevice(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDevice: Pointer cast constructor.
TFE_CustomDevice.Copy_tensor_from_device_TFE_Context_TFE_TensorHandle_BytePointer_TF_Status_Pointer - Class in org.tensorflow.internal.c_api
TFE_CustomDevice.Copy_tensor_to_device_TFE_Context_TFE_TensorHandle_TF_Status_Pointer - Class in org.tensorflow.internal.c_api
TFE_CustomDevice.Delete_device_Pointer - Class in org.tensorflow.internal.c_api
TFE_CustomDevice.Execute_TFE_Op_IntPointer_PointerPointer_TF_Status_Pointer - Class in org.tensorflow.internal.c_api
TFE_CustomDevice.Pack_TFE_Context_PointerPointer_int_TF_Status_Pointer - Class in org.tensorflow.internal.c_api
TFE_CustomDevice.Shall_pin_to_this_device_TFE_Op_TF_Status - Class in org.tensorflow.internal.c_api
TFE_CustomDeviceTensorHandle - Class in org.tensorflow.internal.c_api
TFE_CustomDeviceTensorHandle() - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle: Default native constructor.
TFE_CustomDeviceTensorHandle(long) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle: Native array allocator.
TFE_CustomDeviceTensorHandle(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle: Pointer cast constructor.
TFE_CustomDeviceTensorHandle.Deallocator_Pointer - Class in org.tensorflow.internal.c_api
TFE_CustomDeviceTensorHandle.Dim_Pointer_int_TF_Status - Class in org.tensorflow.internal.c_api
TFE_CustomDeviceTensorHandle.Num_dims_Pointer_TF_Status - Class in org.tensorflow.internal.c_api
TFE_CustomDeviceTensorHandle.Summarize_Pointer_TF_Status - Class in org.tensorflow.internal.c_api
TFE_DeleteCancellationManager(TFE_CancellationManager) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteConfigKeyValue(TFE_Context, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteConfigKeyValue(TFE_Context, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteContext(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteContextOptions(TFE_ContextOptions) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteExecutor(TFE_Executor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteOp(TFE_Op) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteTensorDebugInfo(TFE_TensorDebugInfo) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DeleteTensorHandle(TFE_TensorHandle) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_DEVICE_PLACEMENT_EXPLICIT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TFE_ContextDevicePlacementPolicy
TFE_DEVICE_PLACEMENT_SILENT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TFE_ContextDevicePlacementPolicy
TFE_DEVICE_PLACEMENT_SILENT_FOR_INT32 - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TFE_ContextDevicePlacementPolicy
TFE_DEVICE_PLACEMENT_WARN - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TFE_ContextDevicePlacementPolicy
TFE_EnableCollectiveOps(TFE_Context, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_Execute(TFE_Op, PointerPointer, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_Execute(TFE_Op, TFE_TensorHandle, int[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_Execute(TFE_Op, TFE_TensorHandle, IntBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_Execute(TFE_Op, TFE_TensorHandle, IntPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_Executor - Class in org.tensorflow.internal.c_api
TFE_Executor() - Constructor for class org.tensorflow.internal.c_api.TFE_Executor: Empty constructor.
TFE_Executor(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_Executor: Pointer cast constructor.
TFE_ExecutorClearError(TFE_Executor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ExecutorIsAsync(TFE_Executor) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ExecutorWaitForAllPendingNodes(TFE_Executor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_GetConfigKeyValue(TFE_Context, String, long, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_GetConfigKeyValue(TFE_Context, BytePointer, long, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_GetContextId(TFE_Context) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_GetExecutedOpNames(TFE_Context, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_GetServerDef(String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_GetServerDef(BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_GetTaskStates(TFE_Context, TF_Buffer, Pointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_HostAddressSpace(TFE_Context, TF_Buffer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_InferShapes(TFE_Op, TF_ShapeAndTypeList, PointerPointer, TF_ShapeAndTypeList, PointerPointer, PointerPointer, PointerPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_InferShapes(TFE_Op, TF_ShapeAndTypeList, TF_Tensor, TF_ShapeAndTypeList, TF_ShapeAndTypeList, TF_ShapeAndTypeList, PointerPointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_InitializeLocalOnlyContext(TFE_Context, int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_InsertConfigKeyValue(TFE_Context, String, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_InsertConfigKeyValue(TFE_Context, BytePointer, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_IsCustomDevice(TFE_Context, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_IsCustomDevice(TFE_Context, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringBoolGauge0 - Class in org.tensorflow.internal.c_api
TFE_MonitoringBoolGauge0() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringBoolGauge0: Empty constructor.
TFE_MonitoringBoolGauge0(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringBoolGauge0: Pointer cast constructor.
TFE_MonitoringBoolGauge1 - Class in org.tensorflow.internal.c_api
TFE_MonitoringBoolGauge1() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringBoolGauge1: Empty constructor.
TFE_MonitoringBoolGauge1(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringBoolGauge1: Pointer cast constructor.
TFE_MonitoringBoolGauge2 - Class in org.tensorflow.internal.c_api
TFE_MonitoringBoolGauge2() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringBoolGauge2: Empty constructor.
TFE_MonitoringBoolGauge2(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringBoolGauge2: Pointer cast constructor.
TFE_MonitoringBoolGaugeCell - Class in org.tensorflow.internal.c_api
TFE_MonitoringBoolGaugeCell() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringBoolGaugeCell: Empty constructor.
TFE_MonitoringBoolGaugeCell(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringBoolGaugeCell: Pointer cast constructor.
TFE_MonitoringBoolGaugeCellSet(TFE_MonitoringBoolGaugeCell, boolean) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringBoolGaugeCellValue(TFE_MonitoringBoolGaugeCell) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringBuckets - Class in org.tensorflow.internal.c_api
TFE_MonitoringBuckets() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringBuckets: Empty constructor.
TFE_MonitoringBuckets(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringBuckets: Pointer cast constructor.
TFE_MonitoringCounter0 - Class in org.tensorflow.internal.c_api
TFE_MonitoringCounter0() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringCounter0: Empty constructor.
TFE_MonitoringCounter0(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringCounter0: Pointer cast constructor.
TFE_MonitoringCounter1 - Class in org.tensorflow.internal.c_api
TFE_MonitoringCounter1() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringCounter1: Empty constructor.
TFE_MonitoringCounter1(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringCounter1: Pointer cast constructor.
TFE_MonitoringCounter2 - Class in org.tensorflow.internal.c_api
TFE_MonitoringCounter2() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringCounter2: Empty constructor.
TFE_MonitoringCounter2(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringCounter2: Pointer cast constructor.
TFE_MonitoringCounterCell - Class in org.tensorflow.internal.c_api
TFE_MonitoringCounterCell() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringCounterCell: Empty constructor.
TFE_MonitoringCounterCell(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringCounterCell: Pointer cast constructor.
TFE_MonitoringCounterCellIncrementBy(TFE_MonitoringCounterCell, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringCounterCellValue(TFE_MonitoringCounterCell) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteBoolGauge0(TFE_MonitoringBoolGauge0) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteBoolGauge1(TFE_MonitoringBoolGauge1) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteBoolGauge2(TFE_MonitoringBoolGauge2) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteBuckets(TFE_MonitoringBuckets) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteCounter0(TFE_MonitoringCounter0) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteCounter1(TFE_MonitoringCounter1) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteCounter2(TFE_MonitoringCounter2) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteIntGauge0(TFE_MonitoringIntGauge0) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteIntGauge1(TFE_MonitoringIntGauge1) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteIntGauge2(TFE_MonitoringIntGauge2) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteSampler0(TFE_MonitoringSampler0) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteSampler1(TFE_MonitoringSampler1) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteSampler2(TFE_MonitoringSampler2) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteStringGauge0(TFE_MonitoringStringGauge0) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteStringGauge1(TFE_MonitoringStringGauge1) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteStringGauge2(TFE_MonitoringStringGauge2) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteStringGauge3(TFE_MonitoringStringGauge3) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringDeleteStringGauge4(TFE_MonitoringStringGauge4) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellBoolGauge0(TFE_MonitoringBoolGauge0) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellBoolGauge1(TFE_MonitoringBoolGauge1, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellBoolGauge1(TFE_MonitoringBoolGauge1, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellBoolGauge2(TFE_MonitoringBoolGauge2, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellBoolGauge2(TFE_MonitoringBoolGauge2, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellCounter0(TFE_MonitoringCounter0) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellCounter1(TFE_MonitoringCounter1, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellCounter1(TFE_MonitoringCounter1, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellCounter2(TFE_MonitoringCounter2, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellCounter2(TFE_MonitoringCounter2, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellIntGauge0(TFE_MonitoringIntGauge0) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellIntGauge1(TFE_MonitoringIntGauge1, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellIntGauge1(TFE_MonitoringIntGauge1, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellIntGauge2(TFE_MonitoringIntGauge2, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellIntGauge2(TFE_MonitoringIntGauge2, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellSampler0(TFE_MonitoringSampler0) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellSampler1(TFE_MonitoringSampler1, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellSampler1(TFE_MonitoringSampler1, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellSampler2(TFE_MonitoringSampler2, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellSampler2(TFE_MonitoringSampler2, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellStringGauge0(TFE_MonitoringStringGauge0) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellStringGauge1(TFE_MonitoringStringGauge1, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellStringGauge1(TFE_MonitoringStringGauge1, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellStringGauge2(TFE_MonitoringStringGauge2, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellStringGauge2(TFE_MonitoringStringGauge2, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellStringGauge3(TFE_MonitoringStringGauge3, String, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellStringGauge3(TFE_MonitoringStringGauge3, BytePointer, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellStringGauge4(TFE_MonitoringStringGauge4, String, String, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringGetCellStringGauge4(TFE_MonitoringStringGauge4, BytePointer, BytePointer, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringIntGauge0 - Class in org.tensorflow.internal.c_api
TFE_MonitoringIntGauge0() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringIntGauge0: Empty constructor.
TFE_MonitoringIntGauge0(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringIntGauge0: Pointer cast constructor.
TFE_MonitoringIntGauge1 - Class in org.tensorflow.internal.c_api
TFE_MonitoringIntGauge1() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringIntGauge1: Empty constructor.
TFE_MonitoringIntGauge1(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringIntGauge1: Pointer cast constructor.
TFE_MonitoringIntGauge2 - Class in org.tensorflow.internal.c_api
TFE_MonitoringIntGauge2() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringIntGauge2: Empty constructor.
TFE_MonitoringIntGauge2(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringIntGauge2: Pointer cast constructor.
TFE_MonitoringIntGaugeCell - Class in org.tensorflow.internal.c_api
TFE_MonitoringIntGaugeCell() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringIntGaugeCell: Empty constructor.
TFE_MonitoringIntGaugeCell(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringIntGaugeCell: Pointer cast constructor.
TFE_MonitoringIntGaugeCellSet(TFE_MonitoringIntGaugeCell, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringIntGaugeCellValue(TFE_MonitoringIntGaugeCell) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewBoolGauge0(String, TF_Status, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewBoolGauge0(BytePointer, TF_Status, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewBoolGauge1(String, TF_Status, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewBoolGauge1(BytePointer, TF_Status, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewBoolGauge2(String, TF_Status, String, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewBoolGauge2(BytePointer, TF_Status, BytePointer, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewCounter0(String, TF_Status, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewCounter0(BytePointer, TF_Status, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewCounter1(String, TF_Status, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewCounter1(BytePointer, TF_Status, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewCounter2(String, TF_Status, String, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewCounter2(BytePointer, TF_Status, BytePointer, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewExponentialBuckets(double, double, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewIntGauge0(String, TF_Status, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewIntGauge0(BytePointer, TF_Status, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewIntGauge1(String, TF_Status, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewIntGauge1(BytePointer, TF_Status, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewIntGauge2(String, TF_Status, String, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewIntGauge2(BytePointer, TF_Status, BytePointer, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewSampler0(String, TFE_MonitoringBuckets, TF_Status, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewSampler0(BytePointer, TFE_MonitoringBuckets, TF_Status, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewSampler1(String, TFE_MonitoringBuckets, TF_Status, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewSampler1(BytePointer, TFE_MonitoringBuckets, TF_Status, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewSampler2(String, TFE_MonitoringBuckets, TF_Status, String, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewSampler2(BytePointer, TFE_MonitoringBuckets, TF_Status, BytePointer, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewStringGauge0(String, TF_Status, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewStringGauge0(BytePointer, TF_Status, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewStringGauge1(String, TF_Status, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewStringGauge1(BytePointer, TF_Status, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewStringGauge2(String, TF_Status, String, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewStringGauge2(BytePointer, TF_Status, BytePointer, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewStringGauge3(String, TF_Status, String, String, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewStringGauge3(BytePointer, TF_Status, BytePointer, BytePointer, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewStringGauge4(String, TF_Status, String, String, String, String, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringNewStringGauge4(BytePointer, TF_Status, BytePointer, BytePointer, BytePointer, BytePointer, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringSampler0 - Class in org.tensorflow.internal.c_api
TFE_MonitoringSampler0() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringSampler0: Empty constructor.
TFE_MonitoringSampler0(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringSampler0: Pointer cast constructor.
TFE_MonitoringSampler1 - Class in org.tensorflow.internal.c_api
TFE_MonitoringSampler1() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringSampler1: Empty constructor.
TFE_MonitoringSampler1(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringSampler1: Pointer cast constructor.
TFE_MonitoringSampler2 - Class in org.tensorflow.internal.c_api
TFE_MonitoringSampler2() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringSampler2: Empty constructor.
TFE_MonitoringSampler2(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringSampler2: Pointer cast constructor.
TFE_MonitoringSamplerCell - Class in org.tensorflow.internal.c_api
TFE_MonitoringSamplerCell() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringSamplerCell: Empty constructor.
TFE_MonitoringSamplerCell(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringSamplerCell: Pointer cast constructor.
TFE_MonitoringSamplerCellAdd(TFE_MonitoringSamplerCell, double) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringSamplerCellValue(TFE_MonitoringSamplerCell, TF_Buffer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringStringGauge0 - Class in org.tensorflow.internal.c_api
TFE_MonitoringStringGauge0() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringStringGauge0: Empty constructor.
TFE_MonitoringStringGauge0(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringStringGauge0: Pointer cast constructor.
TFE_MonitoringStringGauge1 - Class in org.tensorflow.internal.c_api
TFE_MonitoringStringGauge1() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringStringGauge1: Empty constructor.
TFE_MonitoringStringGauge1(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringStringGauge1: Pointer cast constructor.
TFE_MonitoringStringGauge2 - Class in org.tensorflow.internal.c_api
TFE_MonitoringStringGauge2() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringStringGauge2: Empty constructor.
TFE_MonitoringStringGauge2(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringStringGauge2: Pointer cast constructor.
TFE_MonitoringStringGauge3 - Class in org.tensorflow.internal.c_api
TFE_MonitoringStringGauge3() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringStringGauge3: Empty constructor.
TFE_MonitoringStringGauge3(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringStringGauge3: Pointer cast constructor.
TFE_MonitoringStringGauge4 - Class in org.tensorflow.internal.c_api
TFE_MonitoringStringGauge4() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringStringGauge4: Empty constructor.
TFE_MonitoringStringGauge4(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringStringGauge4: Pointer cast constructor.
TFE_MonitoringStringGaugeCell - Class in org.tensorflow.internal.c_api
TFE_MonitoringStringGaugeCell() - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringStringGaugeCell: Empty constructor.
TFE_MonitoringStringGaugeCell(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_MonitoringStringGaugeCell: Pointer cast constructor.
TFE_MonitoringStringGaugeCellSet(TFE_MonitoringStringGaugeCell, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringStringGaugeCellSet(TFE_MonitoringStringGaugeCell, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_MonitoringStringGaugeCellValue(TFE_MonitoringStringGaugeCell, TF_Buffer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewCancellationManager() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewContext(TFE_ContextOptions, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewContextOptions() - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewCustomDeviceTensorHandle(TFE_Context, String, int, Pointer, TFE_CustomDeviceTensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewCustomDeviceTensorHandle(TFE_Context, BytePointer, int, Pointer, TFE_CustomDeviceTensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewExecutor(boolean, boolean, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewOp(TFE_Context, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewOp(TFE_Context, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewTensorHandle(TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewTensorHandleFromDeviceMemory(TFE_Context, String, int, long[], int, Pointer, long, Deallocator_Pointer_long_Pointer, Pointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewTensorHandleFromDeviceMemory(TFE_Context, String, int, LongBuffer, int, Pointer, long, Deallocator_Pointer_long_Pointer, Pointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewTensorHandleFromDeviceMemory(TFE_Context, String, int, LongPointer, int, Pointer, long, Deallocator_Pointer_long_Pointer, Pointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewTensorHandleFromDeviceMemory(TFE_Context, BytePointer, int, long[], int, Pointer, long, Deallocator_Pointer_long_Pointer, Pointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewTensorHandleFromDeviceMemory(TFE_Context, BytePointer, int, LongBuffer, int, Pointer, long, Deallocator_Pointer_long_Pointer, Pointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewTensorHandleFromDeviceMemory(TFE_Context, BytePointer, int, LongPointer, int, Pointer, long, Deallocator_Pointer_long_Pointer, Pointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewTensorHandleFromScalar(int, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_NewTensorHandleFromTensor(TFE_Context, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_Op - Class in org.tensorflow.internal.c_api
TFE_Op() - Constructor for class org.tensorflow.internal.c_api.TFE_Op: Empty constructor.
TFE_Op(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_Op: Pointer cast constructor.
TFE_OpAddAttrs(TFE_Op, TFE_OpAttrs) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpAddInput(TFE_Op, TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpAddInputList(TFE_Op, PointerPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpAddInputList(TFE_Op, TFE_TensorHandle, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpAttrs - Class in org.tensorflow.internal.c_api
TFE_OpAttrs() - Constructor for class org.tensorflow.internal.c_api.TFE_OpAttrs: Empty constructor.
TFE_OpAttrs(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_OpAttrs: Pointer cast constructor.
TFE_OpAttrsSerialize(TFE_OpAttrs, TF_Buffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrs(TFE_Op) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrType(TFE_Op, String, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrType(TFE_Op, String, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrType(TFE_Op, String, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrType(TFE_Op, BytePointer, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrType(TFE_Op, BytePointer, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetAttrType(TFE_Op, BytePointer, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetContext(TFE_Op, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetDevice(TFE_Op, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetFlatInput(TFE_Op, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetFlatInputCount(TFE_Op, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetInputLength(TFE_Op, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetInputLength(TFE_Op, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetName(TFE_Op, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetOutputLength(TFE_Op, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpGetOutputLength(TFE_Op, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpNameGetAttrType(TFE_Context, String, String, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpNameGetAttrType(TFE_Context, String, String, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpNameGetAttrType(TFE_Context, String, String, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpNameGetAttrType(TFE_Context, BytePointer, BytePointer, byte[], TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpNameGetAttrType(TFE_Context, BytePointer, BytePointer, ByteBuffer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpNameGetAttrType(TFE_Context, BytePointer, BytePointer, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpReset(TFE_Op, String, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpReset(TFE_Op, BytePointer, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBool(TFE_Op, String, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBool(TFE_Op, BytePointer, byte) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBoolList(TFE_Op, String, byte[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBoolList(TFE_Op, String, ByteBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBoolList(TFE_Op, String, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBoolList(TFE_Op, BytePointer, byte[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBoolList(TFE_Op, BytePointer, ByteBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrBoolList(TFE_Op, BytePointer, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloat(TFE_Op, String, float) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloat(TFE_Op, BytePointer, float) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloatList(TFE_Op, String, float[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloatList(TFE_Op, String, FloatBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloatList(TFE_Op, String, FloatPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloatList(TFE_Op, BytePointer, float[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloatList(TFE_Op, BytePointer, FloatBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFloatList(TFE_Op, BytePointer, FloatPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunction(TFE_Op, String, TFE_Op) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunction(TFE_Op, BytePointer, TFE_Op) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunctionList(TFE_Op, String, TFE_Op, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunctionList(TFE_Op, BytePointer, PointerPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunctionList(TFE_Op, BytePointer, TFE_Op, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunctionName(TFE_Op, String, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrFunctionName(TFE_Op, BytePointer, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrInt(TFE_Op, String, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrInt(TFE_Op, BytePointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrIntList(TFE_Op, String, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrIntList(TFE_Op, String, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrIntList(TFE_Op, String, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrIntList(TFE_Op, BytePointer, long[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrIntList(TFE_Op, BytePointer, LongBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrIntList(TFE_Op, BytePointer, LongPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShape(TFE_Op, String, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShape(TFE_Op, String, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShape(TFE_Op, String, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShape(TFE_Op, BytePointer, long[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShape(TFE_Op, BytePointer, LongBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShape(TFE_Op, BytePointer, LongPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, String, long[], int[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, String, LongBuffer, IntBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, String, LongPointer, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, BytePointer, long[], int[], int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, BytePointer, LongBuffer, IntBuffer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, BytePointer, LongPointer, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrShapeList(TFE_Op, BytePointer, PointerPointer, IntPointer, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrString(TFE_Op, String, Pointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrString(TFE_Op, BytePointer, Pointer, long) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrStringList(TFE_Op, String, Pointer, SizeTPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrStringList(TFE_Op, BytePointer, PointerPointer, SizeTPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrStringList(TFE_Op, BytePointer, Pointer, SizeTPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTensor(TFE_Op, String, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTensor(TFE_Op, BytePointer, TF_Tensor, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrType(TFE_Op, String, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrType(TFE_Op, BytePointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTypeList(TFE_Op, String, int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTypeList(TFE_Op, String, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTypeList(TFE_Op, String, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTypeList(TFE_Op, BytePointer, int[], int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTypeList(TFE_Op, BytePointer, IntBuffer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrTypeList(TFE_Op, BytePointer, IntPointer, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrValueProto(TFE_Op, String, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetAttrValueProto(TFE_Op, BytePointer, Pointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetCancellationManager(TFE_Op, TFE_CancellationManager, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetDevice(TFE_Op, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_OpSetDevice(TFE_Op, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_RegisterCustomDevice(TFE_Context, TFE_CustomDevice, String, Pointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_RegisterCustomDevice(TFE_Context, TFE_CustomDevice, BytePointer, Pointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ReportErrorToCluster(TFE_Context, int, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_ReportErrorToCluster(TFE_Context, int, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_SetLogicalCpuDevices(TFE_Context, int, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_SetLogicalCpuDevices(TFE_Context, int, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorDebugInfo - Class in org.tensorflow.internal.c_api
TFE_TensorDebugInfo() - Constructor for class org.tensorflow.internal.c_api.TFE_TensorDebugInfo: Empty constructor.
TFE_TensorDebugInfo(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_TensorDebugInfo: Pointer cast constructor.
TFE_TensorDebugInfoOnDeviceDim(TFE_TensorDebugInfo, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorDebugInfoOnDeviceNumDims(TFE_TensorDebugInfo) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandle - Class in org.tensorflow.internal.c_api
TFE_TensorHandle() - Constructor for class org.tensorflow.internal.c_api.TFE_TensorHandle: Empty constructor.
TFE_TensorHandle(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFE_TensorHandle: Pointer cast constructor.
TFE_TensorHandleBackingDeviceName(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleCopySharingTensor(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleCopyToDevice(TFE_TensorHandle, TFE_Context, String, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleCopyToDevice(TFE_TensorHandle, TFE_Context, BytePointer, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleDataType(TFE_TensorHandle) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleDeviceID(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleDeviceMemorySize(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleDeviceName(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleDevicePointer(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleDeviceType(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleDim(TFE_TensorHandle, int, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleGetStatus(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleNumDims(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleNumElements(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleResolve(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_TensorHandleTensorDebugInfo(TFE_TensorHandle, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_WaitAtBarrier(TFE_Context, String, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFE_WaitAtBarrier(TFE_Context, BytePointer, long, TF_Status) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFFailedPreconditionException - Exception Class in org.tensorflow.exceptions
TFFailedPreconditionException(String) - Constructor for exception class org.tensorflow.exceptions.TFFailedPreconditionException
TFFailedPreconditionException(String, Throwable) - Constructor for exception class org.tensorflow.exceptions.TFFailedPreconditionException
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The quantized type of filter tensor that needs to be converted.
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The type of the filter.
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The type of the filter.
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The type of the filter.
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The type of the filter.
TfinalizeFuncArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The TfinalizeFuncArgs attribute
TfinalizeFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The TfinalizeFuncOtherArguments attribute
TfinalizeFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The TfinalizeFuncOtherArguments attribute
TFInvalidArgumentException - Exception Class in org.tensorflow.exceptions
TFInvalidArgumentException(String) - Constructor for exception class org.tensorflow.exceptions.TFInvalidArgumentException
TFInvalidArgumentException(String, Throwable) - Constructor for exception class org.tensorflow.exceptions.TFInvalidArgumentException
TFJ_GetGraphId(TF_Graph) - Static method in class org.tensorflow.internal.c_api.global.tensorflow: Returns the unique identifier of the graph g
TFJ_GetUniqueNameForOp(TFJ_Scope, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFJ_GetUniqueNameForOp(TFJ_Scope, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow: Return a unique name, using default_name if an op name has not been specified.
TFJ_GradFuncAdapter - Class in org.tensorflow.internal.c_api: Function to be implemented on the JVM side to be called back by the native library when it is time to attach gradient operations for the given op, graph and scope.
TFJ_GradFuncAdapter() - Constructor for class org.tensorflow.internal.c_api.TFJ_GradFuncAdapter
TFJ_GradFuncAdapter(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFJ_GradFuncAdapter: Pointer cast constructor.
TFJ_GraphId - Class in org.tensorflow.internal.c_api: Unique identifier of a TensorFlow graph instance
TFJ_GraphId() - Constructor for class org.tensorflow.internal.c_api.TFJ_GraphId: Empty constructor.
TFJ_GraphId(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFJ_GraphId: Pointer cast constructor.
TFJ_HasGradient(String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFJ_HasGradient(BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFJ_NewRootScope() - Static method in class org.tensorflow.internal.c_api.global.tensorflow: Return a new scope.
TFJ_NewScopeWithControlDependencies(TFJ_Scope, TF_Operation, int) - Static method in class org.tensorflow.internal.c_api.global.tensorflow: Return a new scope.
TFJ_NewScopeWithDevice(TFJ_Scope, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFJ_NewScopeWithDevice(TFJ_Scope, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow: Return a new scope.
TFJ_NewSubScope(TFJ_Scope, String) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFJ_NewSubScope(TFJ_Scope, BytePointer) - Static method in class org.tensorflow.internal.c_api.global.tensorflow: Return a new scope.
TFJ_RegisterCustomGradient(String, TFJ_GradFuncAdapter) - Static method in class org.tensorflow.internal.c_api.global.tensorflow
TFJ_RegisterCustomGradient(BytePointer, TFJ_GradFuncAdapter) - Static method in class org.tensorflow.internal.c_api.global.tensorflow: Registers a gradient function for operations of type op_type.
TFJ_RuntimeLibrary - Class in org.tensorflow.internal.c_api: Helper class for loading the TensorFlow Java native library.
TFJ_Scope - Class in org.tensorflow.internal.c_api
TFJ_Scope() - Constructor for class org.tensorflow.internal.c_api.TFJ_Scope: Empty constructor.
TFJ_Scope(Pointer) - Constructor for class org.tensorflow.internal.c_api.TFJ_Scope: Pointer cast constructor.
TFJ_UnmapOperationName(TF_Graph, TF_Operation) - Static method in class org.tensorflow.internal.c_api.global.tensorflow: Remove an operation from the name map of the graph g, so that it cannot be reversely looked up by name.
TFloat16 - Interface in org.tensorflow.types: IEEE-754 half-precision 16-bit float tensor type.
TFloat16 - Static variable in class org.tensorflow.generator.op.Names
TFloat32 - Interface in org.tensorflow.types: IEEE-754 single-precision 32-bit float tensor type.
TFloat32 - Static variable in class org.tensorflow.generator.op.Names
TFloat64 - Interface in org.tensorflow.types: IEEE-754 double-precision 64-bit float tensor type.
TFloat64 - Static variable in class org.tensorflow.generator.op.Names
TFloating - Interface in org.tensorflow.types.family: Common interface for all floating point tensors.
TFloating - Static variable in class org.tensorflow.generator.op.Names
TFOutOfRangeException - Exception Class in org.tensorflow.exceptions
TFOutOfRangeException(String) - Constructor for exception class org.tensorflow.exceptions.TFOutOfRangeException
TFOutOfRangeException(String, Throwable) - Constructor for exception class org.tensorflow.exceptions.TFOutOfRangeException
TFPermissionDeniedException - Exception Class in org.tensorflow.exceptions
TFPermissionDeniedException(String) - Constructor for exception class org.tensorflow.exceptions.TFPermissionDeniedException
TFPermissionDeniedException(String, Throwable) - Constructor for exception class org.tensorflow.exceptions.TFPermissionDeniedException
tfRecordDataset(Ops, String, String, long) - Static method in class org.tensorflow.framework.data.Dataset: Creates a TFRecordDataset from a file containing TFRecords
tfRecordDataset(Operand, Operand, Operand, Operand, TfRecordDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits the records from one or more TFRecord files.
TfRecordDataset - Class in org.tensorflow.op.data: Creates a dataset that emits the records from one or more TFRecord files.
TfRecordDataset(Operation) - Constructor for class org.tensorflow.op.data.TfRecordDataset
TfRecordDataset.Inputs - Class in org.tensorflow.op.data
TfRecordDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TfRecordDataset
tfRecordReader(TfRecordReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the records from a TensorFlow Records file.
TfRecordReader - Class in org.tensorflow.op.io: A Reader that outputs the records from a TensorFlow Records file.
TfRecordReader(Operation) - Constructor for class org.tensorflow.op.io.TfRecordReader
TfRecordReader.Inputs - Class in org.tensorflow.op.io
TfRecordReader.Options - Class in org.tensorflow.op.io: Optional attributes for TfRecordReader
TFResourceExhaustedException - Exception Class in org.tensorflow.exceptions
TFResourceExhaustedException(String) - Constructor for exception class org.tensorflow.exceptions.TFResourceExhaustedException
TFResourceExhaustedException(String, Throwable) - Constructor for exception class org.tensorflow.exceptions.TFResourceExhaustedException
TFRT_USE_IFRT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
TFT_ANY - Enum constant in enum org.tensorflow.proto.FullTypeId: Wildcard type.
TFT_ANY_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Wildcard type.
TFT_ARRAY - Enum constant in enum org.tensorflow.proto.FullTypeId: Array (or tensorflow::TensorList in the variant type registry).
TFT_ARRAY_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Array (or tensorflow::TensorList in the variant type registry).
TFT_BFLOAT16 - Enum constant in enum org.tensorflow.proto.FullTypeId: TFT_BFLOAT16 = 215;
TFT_BFLOAT16_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: TFT_BFLOAT16 = 215;
TFT_BOOL - Enum constant in enum org.tensorflow.proto.FullTypeId: The bool element type.
TFT_BOOL_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: The bool element type.
TFT_CALLABLE - Enum constant in enum org.tensorflow.proto.FullTypeId: Callable types describe functions and ops.
TFT_CALLABLE_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Callable types describe functions and ops.
TFT_COMPLEX128 - Enum constant in enum org.tensorflow.proto.FullTypeId: TFT_COMPLEX128 = 213;
TFT_COMPLEX128_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: TFT_COMPLEX128 = 213;
TFT_COMPLEX64 - Enum constant in enum org.tensorflow.proto.FullTypeId: Complex element types.
TFT_COMPLEX64_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Complex element types.
TFT_DATASET - Enum constant in enum org.tensorflow.proto.FullTypeId: Datasets created by tf.data ops and APIs.
TFT_DATASET_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Datasets created by tf.data ops and APIs.
TFT_DOUBLE - Enum constant in enum org.tensorflow.proto.FullTypeId: TFT_DOUBLE = 211;
TFT_DOUBLE_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: TFT_DOUBLE = 211;
TFT_ENCODED - Enum constant in enum org.tensorflow.proto.FullTypeId: Encoding types describe a value of a certain type, encoded as a different type.
TFT_ENCODED_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Encoding types describe a value of a certain type, encoded as a different type.
TFT_FLOAT - Enum constant in enum org.tensorflow.proto.FullTypeId: TFT_FLOAT = 210;
TFT_FLOAT_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: TFT_FLOAT = 210;
TFT_FOR_EACH - Enum constant in enum org.tensorflow.proto.FullTypeId: Template definition.
TFT_FOR_EACH_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Template definition.
TFT_HALF - Enum constant in enum org.tensorflow.proto.FullTypeId: Floating-point element types.
TFT_HALF_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Floating-point element types.
TFT_INT16 - Enum constant in enum org.tensorflow.proto.FullTypeId: TFT_INT16 = 206;
TFT_INT16_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: TFT_INT16 = 206;
TFT_INT32 - Enum constant in enum org.tensorflow.proto.FullTypeId: TFT_INT32 = 207;
TFT_INT32_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: TFT_INT32 = 207;
TFT_INT64 - Enum constant in enum org.tensorflow.proto.FullTypeId: TFT_INT64 = 208;
TFT_INT64_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: TFT_INT64 = 208;
TFT_INT8 - Enum constant in enum org.tensorflow.proto.FullTypeId: TFT_INT8 = 205;
TFT_INT8_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: TFT_INT8 = 205;
TFT_ITERATOR - Enum constant in enum org.tensorflow.proto.FullTypeId: Iterators created by tf.data ops and APIs.
TFT_ITERATOR_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Iterators created by tf.data ops and APIs.
TFT_LEGACY_VARIANT - Enum constant in enum org.tensorflow.proto.FullTypeId: The equivalent of a Tensor with DT_VARIANT dtype, kept here to simplify translation.
TFT_LEGACY_VARIANT_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: The equivalent of a Tensor with DT_VARIANT dtype, kept here to simplify translation.
TFT_LITERAL - Enum constant in enum org.tensorflow.proto.FullTypeId: Literal types describe compile-time constant values.
TFT_LITERAL_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Literal types describe compile-time constant values.
TFT_MUTEX_LOCK - Enum constant in enum org.tensorflow.proto.FullTypeId: A mutex lock tensor, produced by tf.raw_ops.MutexLock.
TFT_MUTEX_LOCK_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: A mutex lock tensor, produced by tf.raw_ops.MutexLock.
TFT_NAMED - Enum constant in enum org.tensorflow.proto.FullTypeId: Represents a named field, with the name stored in the attribute.
TFT_NAMED_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Represents a named field, with the name stored in the attribute.
TFT_OPTIONAL - Enum constant in enum org.tensorflow.proto.FullTypeId: Optional (or tensorflow::OptionalVariant in the variant type registry).
TFT_OPTIONAL_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Optional (or tensorflow::OptionalVariant in the variant type registry).
TFT_PRODUCT - Enum constant in enum org.tensorflow.proto.FullTypeId: The algebraic product type.
TFT_PRODUCT_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: The algebraic product type.
TFT_RAGGED - Enum constant in enum org.tensorflow.proto.FullTypeId: A ragged tensor created by tf.ragged ops and APIs.
TFT_RAGGED_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: A ragged tensor created by tf.ragged ops and APIs.
TFT_SHAPE_TENSOR - Enum constant in enum org.tensorflow.proto.FullTypeId: The type of "shape tensors" where the runtime value is the shape of some tensor(s), i.e. the output of tf.shape.
TFT_SHAPE_TENSOR_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: The type of "shape tensors" where the runtime value is the shape of some tensor(s), i.e. the output of tf.shape.
TFT_STRING - Enum constant in enum org.tensorflow.proto.FullTypeId: The string element type.
TFT_STRING_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: The string element type.
TFT_TENSOR - Enum constant in enum org.tensorflow.proto.FullTypeId: The usual Tensor.
TFT_TENSOR_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: The usual Tensor.
TFT_UINT16 - Enum constant in enum org.tensorflow.proto.FullTypeId: TFT_UINT16 = 202;
TFT_UINT16_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: TFT_UINT16 = 202;
TFT_UINT32 - Enum constant in enum org.tensorflow.proto.FullTypeId: TFT_UINT32 = 203;
TFT_UINT32_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: TFT_UINT32 = 203;
TFT_UINT64 - Enum constant in enum org.tensorflow.proto.FullTypeId: TFT_UINT64 = 204;
TFT_UINT64_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: TFT_UINT64 = 204;
TFT_UINT8 - Enum constant in enum org.tensorflow.proto.FullTypeId: Integer element types.
TFT_UINT8_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Integer element types.
TFT_UNSET - Enum constant in enum org.tensorflow.proto.FullTypeId: The default represents an uninitialized values.
TFT_UNSET_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: The default represents an uninitialized values.
TFT_VAR - Enum constant in enum org.tensorflow.proto.FullTypeId: Type variables may serve as placeholder for any other type ID in type templates.
TFT_VAR_VALUE - Static variable in enum org.tensorflow.proto.FullTypeId: Type variables may serve as placeholder for any other type ID in type templates.
TFUnauthenticatedException - Exception Class in org.tensorflow.exceptions
TFUnauthenticatedException(String) - Constructor for exception class org.tensorflow.exceptions.TFUnauthenticatedException
TFUnauthenticatedException(String, Throwable) - Constructor for exception class org.tensorflow.exceptions.TFUnauthenticatedException
TFUnimplementedException - Exception Class in org.tensorflow.exceptions
TFUnimplementedException(String) - Constructor for exception class org.tensorflow.exceptions.TFUnimplementedException
TFUnimplementedException(String, Throwable) - Constructor for exception class org.tensorflow.exceptions.TFUnimplementedException
TguaranteedConstants - Variable in class org.tensorflow.op.tpu.Compile.Inputs: The TguaranteedConstants attribute
THREAD_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
THREAD_NAMES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceStepStats
THREADING_OPTIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.Options
threadPool - Variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs: A resource produced by the ThreadPoolHandle op.
threadPool - Variable in class org.tensorflow.op.data.ThreadPoolDataset.Inputs: A resource produced by the ThreadPoolHandle op.
threadPoolDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
threadPoolDataset(Operand, Operand, List, List) - Method in class org.tensorflow.op.DataOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolDataset - Class in org.tensorflow.op.data: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ThreadPoolDataset
ThreadPoolDataset(Operation) - Constructor for class org.tensorflow.op.data.ThreadPoolDataset
ThreadPoolDataset.Inputs - Class in org.tensorflow.op.data.experimental
ThreadPoolDataset.Inputs - Class in org.tensorflow.op.data
threadPoolHandle(Long, String, ThreadPoolHandle.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
threadPoolHandle(Long, String, ThreadPoolHandle.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolHandle - Class in org.tensorflow.op.data.experimental: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolHandle - Class in org.tensorflow.op.data: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolHandle(Operation) - Constructor for class org.tensorflow.op.data.experimental.ThreadPoolHandle
ThreadPoolHandle(Operation) - Constructor for class org.tensorflow.op.data.ThreadPoolHandle
ThreadPoolHandle.Inputs - Class in org.tensorflow.op.data.experimental
ThreadPoolHandle.Inputs - Class in org.tensorflow.op.data
ThreadPoolHandle.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for ThreadPoolHandle
ThreadPoolHandle.Options - Class in org.tensorflow.op.data: Optional attributes for ThreadPoolHandle
ThreadPoolOptionProto - Class in org.tensorflow.proto: Protobuf type tensorflow.ThreadPoolOptionProto
ThreadPoolOptionProto.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.ThreadPoolOptionProto
ThreadPoolOptionProtoOrBuilder - Interface in org.tensorflow.proto
threadUnsafeUnigramCandidateSampler(Operand, Long, Long, Boolean, Long, ThreadUnsafeUnigramCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps: Generates labels for candidate sampling with a learned unigram distribution.
ThreadUnsafeUnigramCandidateSampler - Class in org.tensorflow.op.random: Generates labels for candidate sampling with a learned unigram distribution.
ThreadUnsafeUnigramCandidateSampler(Operation) - Constructor for class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler
ThreadUnsafeUnigramCandidateSampler.Inputs - Class in org.tensorflow.op.random
ThreadUnsafeUnigramCandidateSampler.Options - Class in org.tensorflow.op.random: Optional attributes for ThreadUnsafeUnigramCandidateSampler
thresh - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 0-D.
THRESHOLD_DEFAULT - Static variable in class org.tensorflow.framework.activations.ReLU
thresholds - Variable in class org.tensorflow.framework.metrics.PrecisionAtRecall
thresholds - Variable in class org.tensorflow.framework.metrics.RecallAtPrecision
thresholds - Variable in class org.tensorflow.framework.metrics.SensitivityAtSpecificity
thresholds - Variable in class org.tensorflow.framework.metrics.SpecificityAtSensitivity
THROUGHPUT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BenchmarkEntry
throwExceptionIfNotOK() - Method in class org.tensorflow.internal.c_api.AbstractTF_Status: Map TF_Code to unchecked exception, and throw if not TF_OK.
TI - Variable in class org.tensorflow.op.core.OneHot.Inputs: The TI attribute
Tidx - Variable in class org.tensorflow.op.core.All.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Any.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.BroadcastTo.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Concat.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.LinSpace.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Max.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Min.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Prod.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Range.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceAll.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceAny.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Reverse.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Sum.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.UnravelIndex.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.ArgMax.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.ArgMin.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.Cumprod.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.Cumsum.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.Mean.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The Tidx attribute
tile(Operand, Operand) - Method in class org.tensorflow.op.Ops: Constructs a tensor by tiling a given tensor.
Tile<T> - Class in org.tensorflow.op.core: Constructs a tensor by tiling a given tensor.
Tile(Operation) - Constructor for class org.tensorflow.op.core.Tile
Tile.Inputs<T> - Class in org.tensorflow.op.core
tileGrad(Operand, Operand) - Method in class org.tensorflow.op.TrainOps: Returns the gradient of Tile.
TileGrad<T> - Class in org.tensorflow.op.train: Returns the gradient of Tile.
TileGrad(Operation) - Constructor for class org.tensorflow.op.train.TileGrad
TileGrad.Inputs<T> - Class in org.tensorflow.op.train
TIMELINE_LABEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.NodeExecStats
TIMELINE_STEP_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphOptions
timeMajor - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The timeMajor attribute
timeMajor - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The timeMajor attribute
timeMajor(Boolean) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the timeMajor option.
timeMajor(Boolean) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the timeMajor option.
timeMajor(Boolean) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the timeMajor option.
timeMajor(Boolean) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the timeMajor option.
TIMEOUT_IN_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunOptions
TIMEOUT_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WatchdogConfig
timeoutMicros - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The timeoutMicros attribute
timeoutMs - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: If the queue is empty, this operation will block for up to timeout_ms milliseconds.
timeoutMs - Variable in class org.tensorflow.op.io.QueueDequeue.Inputs: If the queue is empty, this operation will block for up to timeout_ms milliseconds.
timeoutMs - Variable in class org.tensorflow.op.io.QueueDequeueMany.Inputs: If the queue has fewer than n elements, this operation will block for up to timeout_ms milliseconds.
timeoutMs - Variable in class org.tensorflow.op.io.QueueDequeueUpTo.Inputs: If the queue has fewer than n elements, this operation will block for up to timeout_ms milliseconds.
timeoutMs - Variable in class org.tensorflow.op.io.QueueEnqueue.Inputs: If the queue is full, this operation will block for up to timeout_ms milliseconds.
timeoutMs - Variable in class org.tensorflow.op.io.QueueEnqueueMany.Inputs: If the queue is too full, this operation will block for up to timeout_ms milliseconds.
timeoutMs(Long) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.core.BarrierTakeMany: Sets the timeoutMs option.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueDequeue.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueDequeue: Sets the timeoutMs option.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueDequeueMany.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueDequeueMany: Sets the timeoutMs option.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueDequeueUpTo.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueDequeueUpTo: Sets the timeoutMs option.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueEnqueue.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueEnqueue: Sets the timeoutMs option.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueEnqueueMany.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueEnqueueMany: Sets the timeoutMs option.
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The timeoutSeconds attribute
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The timeoutSeconds attribute
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The timeoutSeconds attribute
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The timeoutSeconds attribute
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The timeoutSeconds attribute
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The timeoutSeconds attribute
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The timeoutSeconds attribute
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveAllToAll.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveAllToAll: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveBcastRecv.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveBcastRecv: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveBcastSend.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveBcastSend: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveGather.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveGather: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveReduce.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveReduce: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveReduceScatter.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveReduceScatter: Sets the timeoutSeconds option.
timestamp() - Method in class org.tensorflow.op.Ops: Provides the time since epoch in seconds.
Timestamp - Class in org.tensorflow.op.core: Provides the time since epoch in seconds.
Timestamp(Operation) - Constructor for class org.tensorflow.op.core.Timestamp
TIMESTAMP_NS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XLine
Timestamp.Inputs - Class in org.tensorflow.op.core
TIMESTAMPED_ALLOCATOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
Tin - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: the types of tensors to be batched.
Tin - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: The Tin attribute
Tin - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: The Tin attribute
Tin - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: The Tin attribute
Tin - Variable in class org.tensorflow.op.core.LookupTableRemove.Inputs: The Tin attribute
Tin - Variable in class org.tensorflow.op.core.PartitionedCall.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.RemoteCall.Inputs: The type list for the arguments.
Tin - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StochasticCastToInt.Inputs: The type of the input.
Tin - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The type of lhs and rhs input Tensor.
Tin - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: The type of input Tensor.
Tin - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: The type of input Tensor.
Tin - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The type of lhs and rhs input Tensor.
Tin - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The type of input Tensor.
Tin - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The types of the arguments to the function.
Tin - Variable in class org.tensorflow.op.train.SymbolicGradient.Inputs: the type list for the input list.
Tindex - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: The Tindex attribute
Tindex - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The Tindex attribute
TindexMapFuncArgs - Variable in class org.tensorflow.op.data.IndexFlatMapDataset.Inputs: The TindexMapFuncArgs attribute
Tindices - Variable in class org.tensorflow.op.core.Gather.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.GatherNd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceGatherNd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentMean.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: The Tindices attribute
TinitFuncArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The TinitFuncArgs attribute
TinitFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The TinitFuncOtherArguments attribute
TinitFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The TinitFuncOtherArguments attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The quantized type of input tensor that needs to be converted.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.quantization.RequantizationRange.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.xla.XlaSendToHost.Inputs: The Tinput attribute
TInput - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The TInput attribute
Tinputs - Variable in class org.tensorflow.op.core.MlirPassthroughOp.Inputs: The Tinputs attribute
Tinputs - Variable in class org.tensorflow.op.data.WindowOp.Inputs: The Tinputs attribute
Tinputs - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: The element types of each element in inputs.
TinputTypes - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: The input types.
TinputTypes - Variable in class org.tensorflow.op.data.ListDataset.Inputs: The TinputTypes attribute
TInt32 - Interface in org.tensorflow.types: 32-bit signed integer tensor type.
TInt32 - Static variable in class org.tensorflow.generator.op.Names
TInt64 - Interface in org.tensorflow.types: 64-bit signed integer tensor type.
TInt64 - Static variable in class org.tensorflow.generator.op.Names
TIntegral - Interface in org.tensorflow.types.family: Common interface for all integral numeric tensors.
TIntegral - Static variable in class org.tensorflow.generator.op.Names
Tk - Variable in class org.tensorflow.op.nn.TopK.Inputs: The Tk attribute
Tkey - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: The Tkey attribute
TkeyFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The TkeyFuncOtherArguments attribute
TkeyFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The TkeyFuncOtherArguments attribute
TkeyFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The TkeyFuncOtherArguments attribute
TkeyFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The TkeyFuncOtherArguments attribute
Tkeys - Variable in class org.tensorflow.op.core.LookupTableExport.Inputs: The Tkeys attribute
Tlabels - Variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs: The Tlabels attribute
Tlen - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The Tlen attribute
Tlen - Variable in class org.tensorflow.op.core.SplitV.Inputs: The Tlen attribute
Tlhs - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The type of lhs input Tensor.
Tlhs - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The type of lhs input Tensor.
TmapFuncArgs - Variable in class org.tensorflow.op.data.IndexFlatMapDataset.Inputs: The TmapFuncArgs attribute
tMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized input.
tMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized input.
Tmultiples - Variable in class org.tensorflow.op.core.Tile.Inputs: The Tmultiples attribute
TnextFuncArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The TnextFuncArgs attribute
TNumber - Interface in org.tensorflow.types.family: Common interface for all numeric tensors.
TNumber - Static variable in class org.tensorflow.generator.op.Names
Tnumsegments - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The Tnumsegments attribute
TO_TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorConnection
toBool(Operand) - Method in class org.tensorflow.op.DtypesOps: Converts a tensor to a scalar predicate.
ToBool - Class in org.tensorflow.op.dtypes: Converts a tensor to a scalar predicate.
ToBool(Operation) - Constructor for class org.tensorflow.op.dtypes.ToBool
ToBool.Inputs - Class in org.tensorflow.op.dtypes
toBuilder() - Method in class org.tensorflow.proto.AllocationDescription
toBuilder() - Method in class org.tensorflow.proto.AllocationRecord
toBuilder() - Method in class org.tensorflow.proto.AllocatorMemoryUsed
toBuilder() - Method in class org.tensorflow.proto.ApiDef.Arg
toBuilder() - Method in class org.tensorflow.proto.ApiDef.Attr
toBuilder() - Method in class org.tensorflow.proto.ApiDef.Endpoint
toBuilder() - Method in class org.tensorflow.proto.ApiDef
toBuilder() - Method in class org.tensorflow.proto.ApiDefs
toBuilder() - Method in class org.tensorflow.proto.AssetFileDef
toBuilder() - Method in class org.tensorflow.proto.AttrValue.ListValue
toBuilder() - Method in class org.tensorflow.proto.AttrValue
toBuilder() - Method in class org.tensorflow.proto.AutoParallelOptions
toBuilder() - Method in class org.tensorflow.proto.AvailableDeviceInfo
toBuilder() - Method in class org.tensorflow.proto.BenchmarkEntries
toBuilder() - Method in class org.tensorflow.proto.BenchmarkEntry
toBuilder() - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
toBuilder() - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
toBuilder() - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
toBuilder() - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
toBuilder() - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
toBuilder() - Method in class org.tensorflow.proto.BuildConfiguration
toBuilder() - Method in class org.tensorflow.proto.BundleEntryProto
toBuilder() - Method in class org.tensorflow.proto.BundleHeaderProto
toBuilder() - Method in class org.tensorflow.proto.BytesList
toBuilder() - Method in class org.tensorflow.proto.CallableOptions
toBuilder() - Method in class org.tensorflow.proto.ClusterDef
toBuilder() - Method in class org.tensorflow.proto.ClusterDeviceFilters
toBuilder() - Method in class org.tensorflow.proto.CodeLocation
toBuilder() - Method in class org.tensorflow.proto.CollectionDef.AnyList
toBuilder() - Method in class org.tensorflow.proto.CollectionDef.BytesList
toBuilder() - Method in class org.tensorflow.proto.CollectionDef.FloatList
toBuilder() - Method in class org.tensorflow.proto.CollectionDef.Int64List
toBuilder() - Method in class org.tensorflow.proto.CollectionDef.NodeList
toBuilder() - Method in class org.tensorflow.proto.CollectionDef
toBuilder() - Method in class org.tensorflow.proto.CommitId
toBuilder() - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
toBuilder() - Method in class org.tensorflow.proto.CondContextDef
toBuilder() - Method in class org.tensorflow.proto.ConfigProto.Experimental
toBuilder() - Method in class org.tensorflow.proto.ConfigProto
toBuilder() - Method in class org.tensorflow.proto.ControlFlowContextDef
toBuilder() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
toBuilder() - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
toBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
toBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
toBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
toBuilder() - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
toBuilder() - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
toBuilder() - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
toBuilder() - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
toBuilder() - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
toBuilder() - Method in class org.tensorflow.proto.CostGraphDef.Node
toBuilder() - Method in class org.tensorflow.proto.CostGraphDef
toBuilder() - Method in class org.tensorflow.proto.CPUInfo
toBuilder() - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
toBuilder() - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
toBuilder() - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
toBuilder() - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
toBuilder() - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
toBuilder() - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
toBuilder() - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
toBuilder() - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
toBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
toBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
toBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
toBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
toBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.Options
toBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
toBuilder() - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
toBuilder() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
toBuilder() - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
toBuilder() - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
toBuilder() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
toBuilder() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
toBuilder() - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
toBuilder() - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
toBuilder() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
toBuilder() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
toBuilder() - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
toBuilder() - Method in class org.tensorflow.proto.data.model.Model.ModelProto
toBuilder() - Method in class org.tensorflow.proto.DebugEvent
toBuilder() - Method in class org.tensorflow.proto.DebuggedDevice
toBuilder() - Method in class org.tensorflow.proto.DebuggedGraph
toBuilder() - Method in class org.tensorflow.proto.DebuggedSourceFile
toBuilder() - Method in class org.tensorflow.proto.DebuggedSourceFiles
toBuilder() - Method in class org.tensorflow.proto.DebugMetadata
toBuilder() - Method in class org.tensorflow.proto.DebugOptions
toBuilder() - Method in class org.tensorflow.proto.DebugTensorWatch
toBuilder() - Method in class org.tensorflow.proto.DeviceAttributes
toBuilder() - Method in class org.tensorflow.proto.DeviceLocality
toBuilder() - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
toBuilder() - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
toBuilder() - Method in class org.tensorflow.proto.DeviceStepStats
toBuilder() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
toBuilder() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
toBuilder() - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
toBuilder() - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
toBuilder() - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
toBuilder() - Method in class org.tensorflow.proto.EntryValue
toBuilder() - Method in class org.tensorflow.proto.Event
toBuilder() - Method in class org.tensorflow.proto.Example
toBuilder() - Method in class org.tensorflow.proto.ExampleParserConfiguration
toBuilder() - Method in class org.tensorflow.proto.Execution
toBuilder() - Method in class org.tensorflow.proto.Feature
toBuilder() - Method in class org.tensorflow.proto.FeatureConfiguration
toBuilder() - Method in class org.tensorflow.proto.FeatureList
toBuilder() - Method in class org.tensorflow.proto.FeatureLists
toBuilder() - Method in class org.tensorflow.proto.Features
toBuilder() - Method in class org.tensorflow.proto.FingerprintDef
toBuilder() - Method in class org.tensorflow.proto.FixedLenFeatureProto
toBuilder() - Method in class org.tensorflow.proto.FloatList
toBuilder() - Method in class org.tensorflow.proto.FullTypeDef
toBuilder() - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
toBuilder() - Method in class org.tensorflow.proto.FunctionDef
toBuilder() - Method in class org.tensorflow.proto.FunctionDefLibrary
toBuilder() - Method in class org.tensorflow.proto.GPUInfo
toBuilder() - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
toBuilder() - Method in class org.tensorflow.proto.GPUOptions.Experimental
toBuilder() - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
toBuilder() - Method in class org.tensorflow.proto.GPUOptions
toBuilder() - Method in class org.tensorflow.proto.GradientDef
toBuilder() - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
toBuilder() - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
toBuilder() - Method in class org.tensorflow.proto.GraphDebugInfo
toBuilder() - Method in class org.tensorflow.proto.GraphDef
toBuilder() - Method in class org.tensorflow.proto.GraphExecutionTrace
toBuilder() - Method in class org.tensorflow.proto.GraphOpCreation
toBuilder() - Method in class org.tensorflow.proto.GraphOptions
toBuilder() - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
toBuilder() - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
toBuilder() - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
toBuilder() - Method in class org.tensorflow.proto.GraphTransferInfo
toBuilder() - Method in class org.tensorflow.proto.GraphTransferNodeInfo
toBuilder() - Method in class org.tensorflow.proto.GraphTransferNodeInput
toBuilder() - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
toBuilder() - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
toBuilder() - Method in class org.tensorflow.proto.HistogramProto
toBuilder() - Method in class org.tensorflow.proto.Int64List
toBuilder() - Method in class org.tensorflow.proto.InterconnectLink
toBuilder() - Method in class org.tensorflow.proto.JobDef
toBuilder() - Method in class org.tensorflow.proto.JobDeviceFilters
toBuilder() - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
toBuilder() - Method in class org.tensorflow.proto.KernelDef
toBuilder() - Method in class org.tensorflow.proto.KernelList
toBuilder() - Method in class org.tensorflow.proto.LocalLinks
toBuilder() - Method in class org.tensorflow.proto.LogMessage: Deprecated.
toBuilder() - Method in class org.tensorflow.proto.MachineConfiguration
toBuilder() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
toBuilder() - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
toBuilder() - Method in class org.tensorflow.proto.MemoryInfo
toBuilder() - Method in class org.tensorflow.proto.MemoryLogRawAllocation
toBuilder() - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
toBuilder() - Method in class org.tensorflow.proto.MemoryLogStep
toBuilder() - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
toBuilder() - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
toBuilder() - Method in class org.tensorflow.proto.MemoryLogTensorOutput
toBuilder() - Method in class org.tensorflow.proto.MemoryStats
toBuilder() - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
toBuilder() - Method in class org.tensorflow.proto.MetaGraphDef
toBuilder() - Method in class org.tensorflow.proto.MetricEntry
toBuilder() - Method in class org.tensorflow.proto.NameAttrList
toBuilder() - Method in class org.tensorflow.proto.NamedTensorProto
toBuilder() - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
toBuilder() - Method in class org.tensorflow.proto.NodeDef
toBuilder() - Method in class org.tensorflow.proto.NodeExecStats
toBuilder() - Method in class org.tensorflow.proto.NodeOutput
toBuilder() - Method in class org.tensorflow.proto.OpDef.ArgDef
toBuilder() - Method in class org.tensorflow.proto.OpDef.AttrDef
toBuilder() - Method in class org.tensorflow.proto.OpDef
toBuilder() - Method in class org.tensorflow.proto.OpDeprecation
toBuilder() - Method in class org.tensorflow.proto.OpList
toBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
toBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
toBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
toBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
toBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
toBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
toBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
toBuilder() - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
toBuilder() - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
toBuilder() - Method in class org.tensorflow.proto.OptimizerOptions
toBuilder() - Method in class org.tensorflow.proto.PlatformInfo
toBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
toBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
toBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XLine
toBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
toBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
toBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XStat
toBuilder() - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
toBuilder() - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
toBuilder() - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
toBuilder() - Method in class org.tensorflow.proto.QueueRunnerDef
toBuilder() - Method in class org.tensorflow.proto.ReaderBaseState
toBuilder() - Method in class org.tensorflow.proto.RegisteredGradient
toBuilder() - Method in class org.tensorflow.proto.RequestedExitCode
toBuilder() - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
toBuilder() - Method in class org.tensorflow.proto.ResourceHandleProto
toBuilder() - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
toBuilder() - Method in class org.tensorflow.proto.RewriterConfig
toBuilder() - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
toBuilder() - Method in class org.tensorflow.proto.RunConfiguration
toBuilder() - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
toBuilder() - Method in class org.tensorflow.proto.RunMetadata
toBuilder() - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
toBuilder() - Method in class org.tensorflow.proto.RunOptions.Experimental
toBuilder() - Method in class org.tensorflow.proto.RunOptions
toBuilder() - Method in class org.tensorflow.proto.SavedModel
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
toBuilder() - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
toBuilder() - Method in class org.tensorflow.proto.SavedSlice
toBuilder() - Method in class org.tensorflow.proto.SavedSliceMeta
toBuilder() - Method in class org.tensorflow.proto.SavedTensorSliceMeta
toBuilder() - Method in class org.tensorflow.proto.SavedTensorSlices
toBuilder() - Method in class org.tensorflow.proto.SaverDef
toBuilder() - Method in class org.tensorflow.proto.SaveSliceInfoDef
toBuilder() - Method in class org.tensorflow.proto.ScopedAllocatorOptions
toBuilder() - Method in class org.tensorflow.proto.SequenceExample
toBuilder() - Method in class org.tensorflow.proto.SerializedDType
toBuilder() - Method in class org.tensorflow.proto.ServerDef
toBuilder() - Method in class org.tensorflow.proto.SessionLog
toBuilder() - Method in class org.tensorflow.proto.SessionMetadata
toBuilder() - Method in class org.tensorflow.proto.SignatureDef
toBuilder() - Method in class org.tensorflow.proto.SourceFile
toBuilder() - Method in class org.tensorflow.proto.SourceMetadata
toBuilder() - Method in class org.tensorflow.proto.StackFrameWithId
toBuilder() - Method in class org.tensorflow.proto.StatusProto
toBuilder() - Method in class org.tensorflow.proto.StepStats
toBuilder() - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
toBuilder() - Method in class org.tensorflow.proto.Struct.DictValue
toBuilder() - Method in class org.tensorflow.proto.Struct.ListValue
toBuilder() - Method in class org.tensorflow.proto.Struct.NamedTupleValue
toBuilder() - Method in class org.tensorflow.proto.Struct.NoneValue
toBuilder() - Method in class org.tensorflow.proto.Struct.PairValue
toBuilder() - Method in class org.tensorflow.proto.Struct.StructuredValue
toBuilder() - Method in class org.tensorflow.proto.Struct.TensorSpecProto
toBuilder() - Method in class org.tensorflow.proto.Struct.TupleValue
toBuilder() - Method in class org.tensorflow.proto.Struct.TypeSpecProto
toBuilder() - Method in class org.tensorflow.proto.Summary.Audio
toBuilder() - Method in class org.tensorflow.proto.Summary.Image
toBuilder() - Method in class org.tensorflow.proto.Summary
toBuilder() - Method in class org.tensorflow.proto.Summary.Value
toBuilder() - Method in class org.tensorflow.proto.SummaryDescription
toBuilder() - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
toBuilder() - Method in class org.tensorflow.proto.SummaryMetadata
toBuilder() - Method in class org.tensorflow.proto.TaggedRunMetadata
toBuilder() - Method in class org.tensorflow.proto.TaskDeviceFilters
toBuilder() - Method in class org.tensorflow.proto.TensorConnection
toBuilder() - Method in class org.tensorflow.proto.TensorDescription
toBuilder() - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
toBuilder() - Method in class org.tensorflow.proto.TensorInfo.CooSparse
toBuilder() - Method in class org.tensorflow.proto.TensorInfo
toBuilder() - Method in class org.tensorflow.proto.TensorProto
toBuilder() - Method in class org.tensorflow.proto.TensorShapeProto.Dim
toBuilder() - Method in class org.tensorflow.proto.TensorShapeProto
toBuilder() - Method in class org.tensorflow.proto.TensorSliceProto.Extent
toBuilder() - Method in class org.tensorflow.proto.TensorSliceProto
toBuilder() - Method in class org.tensorflow.proto.TestResults
toBuilder() - Method in class org.tensorflow.proto.ThreadPoolOptionProto
toBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
toBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
toBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
toBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
toBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
toBuilder() - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
toBuilder() - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
toBuilder() - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
toBuilder() - Method in class org.tensorflow.proto.ValuesDef
toBuilder() - Method in class org.tensorflow.proto.VariableDef
toBuilder() - Method in class org.tensorflow.proto.VariantTensorDataProto
toBuilder() - Method in class org.tensorflow.proto.VarLenFeatureProto
toBuilder() - Method in class org.tensorflow.proto.VerifierConfig
toBuilder() - Method in class org.tensorflow.proto.VersionDef
toBuilder() - Method in class org.tensorflow.proto.WatchdogConfig
toBuilder() - Method in class org.tensorflow.proto.WhileContextDef
toBuilder() - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
toBuilder() - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
toDataType(Class) - Static method in class org.tensorflow.op.Operands: Converts a tensor type class to a DataType attribute.
toDataTypes(Collection) - Static method in class org.tensorflow.op.Operands: Converts a list of tensor type classes to an array of DataType attributes.
toGraphDef() - Method in class org.tensorflow.Graph: Generate a representation of the Graph.
toHashBucket(Operand, Long) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucket - Class in org.tensorflow.op.strings: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucket(Operation) - Constructor for class org.tensorflow.op.strings.ToHashBucket
ToHashBucket.Inputs - Class in org.tensorflow.op.strings
toHashBucketFast(Operand, Long) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucketFast - Class in org.tensorflow.op.strings: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucketFast(Operation) - Constructor for class org.tensorflow.op.strings.ToHashBucketFast
ToHashBucketFast.Inputs - Class in org.tensorflow.op.strings
toHashBucketStrong(Operand, Long, List) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucketStrong - Class in org.tensorflow.op.strings: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucketStrong(Operation) - Constructor for class org.tensorflow.op.strings.ToHashBucketStrong
ToHashBucketStrong.Inputs - Class in org.tensorflow.op.strings
tolerance - Variable in class org.tensorflow.op.math.ApproximateEqual.Inputs: The tolerance attribute
tolerance(Float) - Method in class org.tensorflow.op.math.ApproximateEqual.Options: Sets the tolerance option.
tolerance(Float) - Static method in class org.tensorflow.op.math.ApproximateEqual: Sets the tolerance option.
TOLERATE_DEBUG_OP_CREATION_FAILURES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugTensorWatch
toNumber(Operand) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to the specified numeric type.
toNumber(Operand, Class) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to the specified numeric type.
ToNumber<T> - Class in org.tensorflow.op.strings: Converts each string in the input Tensor to the specified numeric type.
ToNumber(Operation) - Constructor for class org.tensorflow.op.strings.ToNumber
ToNumber.Inputs - Class in org.tensorflow.op.strings
topk() - Method in class org.tensorflow.op.core.TopKUnique: Gets topk.
topk() - Method in class org.tensorflow.op.core.TopKWithUnique: Gets topk.
topK(Operand, Operand, Class, TopK.Options...) - Method in class org.tensorflow.op.NnOps: Finds values and indices of the k largest elements for the last dimension.
topK(Operand, Operand, TopK.Options[]) - Method in class org.tensorflow.op.NnOps: Finds values and indices of the k largest elements for the last dimension.
TopK<T,V> - Class in org.tensorflow.op.nn: Finds values and indices of the k largest elements for the last dimension.
TopK(Operation) - Constructor for class org.tensorflow.op.nn.TopK
TopK.Inputs<T> - Class in org.tensorflow.op.nn
TopK.Options - Class in org.tensorflow.op.nn: Optional attributes for TopK
topKCategoricalAccuracy(Ops, Operand, Operand, long) - Static method in class org.tensorflow.framework.metrics.Metrics: Computes how often targets are in the top K predictions.
TopKCategoricalAccuracy<T> - Class in org.tensorflow.framework.metrics: Computes the poisson loss metric between labels and predictions.
TopKCategoricalAccuracy(int, long, Class) - Constructor for class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Creates a TopKCategoricalAccuracy metric using Class.getSimpleName() for the metric name.
TopKCategoricalAccuracy(long, Class) - Constructor for class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Creates a TopKCategoricalAccuracy metric using TopKCategoricalAccuracy.DEFAULT_K for k, Number of top elements to look at for computing accuracy and using Class.getSimpleName() for the metric name.
TopKCategoricalAccuracy(String, int, long, Class) - Constructor for class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Creates a TopKCategoricalAccuracy metric
TopKCategoricalAccuracy(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Creates a TopKCategoricalAccuracy metric using TopKCategoricalAccuracy.DEFAULT_K for k, Number of top elements to look at for computing accuracy.
topkIndices() - Method in class org.tensorflow.op.core.TopKUnique: Gets topkIndices.
topkIndices() - Method in class org.tensorflow.op.core.TopKWithUnique: Gets topkIndices.
topKUnique(Operand, Long) - Method in class org.tensorflow.op.Ops: Returns the TopK unique values in the array in sorted order.
TopKUnique - Class in org.tensorflow.op.core: Returns the TopK unique values in the array in sorted order.
TopKUnique(Operation) - Constructor for class org.tensorflow.op.core.TopKUnique
TopKUnique.Inputs - Class in org.tensorflow.op.core
topKWithUnique(Operand, Long) - Method in class org.tensorflow.op.Ops: Returns the TopK values in the array in sorted order.
TopKWithUnique - Class in org.tensorflow.op.core: Returns the TopK values in the array in sorted order.
TopKWithUnique(Operation) - Constructor for class org.tensorflow.op.core.TopKWithUnique
TopKWithUnique.Inputs - Class in org.tensorflow.op.core
topology - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: TopologyProto indicating the topology of the TPU pod slice.
topology - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

TopologyProto indicating the topology of the TPU pod slice.
topology() - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Gets topology.
topology(String) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the topology option.
topology(String) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the topology option.
topology(String) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the topology option.
topology(String) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the topology option.
toShape(Scope, Operand) - Static method in class org.tensorflow.framework.utils.ShapeUtils: Converts a shape operand to a Shape object
toString() - Method in class org.tensorflow.GraphOperation
toString() - Method in class org.tensorflow.ConcreteFunction
toString() - Method in class org.tensorflow.DeviceSpec
toString() - Method in class org.tensorflow.framework.data.Dataset
toString() - Method in class org.tensorflow.framework.optimizers.AdaDelta
toString() - Method in class org.tensorflow.framework.optimizers.AdaGrad
toString() - Method in class org.tensorflow.framework.optimizers.AdaGradDA
toString() - Method in class org.tensorflow.framework.optimizers.Adam
toString() - Method in class org.tensorflow.framework.optimizers.GradientDescent
toString() - Method in class org.tensorflow.framework.optimizers.Momentum
toString() - Method in class org.tensorflow.framework.optimizers.RMSProp
toString() - Method in class org.tensorflow.op.RawOp
toString() - Method in class org.tensorflow.op.RawOpInputs
toString() - Method in class org.tensorflow.Output
toString() - Method in class org.tensorflow.RawTensor: Returns a string describing the type and shape of the tensor.
toString() - Method in class org.tensorflow.Signature
total - Variable in class org.tensorflow.framework.metrics.Accuracy: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.BinaryAccuracy: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.BinaryCrossentropy: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.CategoricalAccuracy: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.CategoricalCrossentropy: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.CategoricalHinge: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.CosineSimilarity: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.Hinge: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.KLDivergence: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.LogCoshError: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.Mean: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.MeanAbsoluteError: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.MeanRelativeError: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.MeanSquaredError: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.Poisson: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.RootMeanSquaredError: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.SquaredHinge: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.Sum: the variable that holds the total of the metric values
total - Variable in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: the variable that holds the total of the metric values
TOTAL - Static variable in class org.tensorflow.framework.metrics.Accuracy
TOTAL - Static variable in class org.tensorflow.framework.metrics.BinaryAccuracy
TOTAL - Static variable in class org.tensorflow.framework.metrics.BinaryCrossentropy
TOTAL - Static variable in class org.tensorflow.framework.metrics.CategoricalAccuracy
TOTAL - Static variable in class org.tensorflow.framework.metrics.CategoricalCrossentropy
TOTAL - Static variable in class org.tensorflow.framework.metrics.CategoricalHinge
TOTAL - Static variable in class org.tensorflow.framework.metrics.CosineSimilarity
TOTAL - Static variable in class org.tensorflow.framework.metrics.Hinge
TOTAL - Static variable in class org.tensorflow.framework.metrics.KLDivergence
TOTAL - Static variable in class org.tensorflow.framework.metrics.LogCoshError
TOTAL - Static variable in class org.tensorflow.framework.metrics.Mean
TOTAL - Static variable in class org.tensorflow.framework.metrics.MeanAbsoluteError
TOTAL - Static variable in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError
TOTAL - Static variable in class org.tensorflow.framework.metrics.MeanRelativeError
TOTAL - Static variable in class org.tensorflow.framework.metrics.MeanSquaredError
TOTAL - Static variable in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError
TOTAL - Static variable in class org.tensorflow.framework.metrics.Poisson
TOTAL - Static variable in class org.tensorflow.framework.metrics.RootMeanSquaredError
TOTAL - Static variable in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy
TOTAL - Static variable in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy
TOTAL - Static variable in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy
TOTAL - Static variable in class org.tensorflow.framework.metrics.SquaredHinge
TOTAL - Static variable in class org.tensorflow.framework.metrics.Sum
TOTAL - Static variable in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy
TOTAL - Static variable in class org.tensorflow.framework.metrics.MeanTensor
TOTAL_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AllocatorMemoryUsed
TOTAL_BYTES_IN_BIN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.BinSummary
TOTAL_BYTES_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.BinSummary
TOTAL_CHUNKS_IN_BIN_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.BinSummary
TOTAL_CHUNKS_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BfcMemoryMap.BinSummary
TOTAL_CONFUSION_MATRIX - Static variable in class org.tensorflow.framework.metrics.MeanIoU
TOTAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MemoryInfo
total_size() - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
total_size(long) - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
totalSize - Variable in class org.tensorflow.op.AttributeMetadata: The total size of this attribute.
totalWordsProcessed() - Method in class org.tensorflow.op.core.Skipgram: Gets totalWordsProcessed.
Tout - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: the types of the output tensors.
Tout - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.core.PartitionedCall.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.RemoteCall.Inputs: The type list for the return values.
Tout - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StochasticCastToInt.Inputs: The type of the output.
Tout - Variable in class org.tensorflow.op.dtypes.Complex.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.linalg.Eig.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.math.Angle.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.math.ComplexAbs.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.math.Imag.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.math.Real.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The types of the outputs of the function.
Tout - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: If not spcified, Tout is the same type to input type.
Tout - Variable in class org.tensorflow.op.train.SymbolicGradient.Inputs: the type list for the input list.
Toutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.xla.XlaRecvFromHost.Inputs: The Toutput attribute
Toutputs - Variable in class org.tensorflow.op.core.MlirPassthroughOp.Inputs: The Toutputs attribute
Toutputs - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: The element types of each element in outputs.
ToutputTypes - Variable in class org.tensorflow.op.data.OptionalFromValue.Inputs: The ToutputTypes attribute
ToutputTypes - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The ToutputTypes attribute
ToutputTypes - Variable in class org.tensorflow.op.data.TensorDataset.Inputs: The ToutputTypes attribute
ToutputTypes - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The ToutputTypes attribute
Tpaddings - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.core.Pad.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: The Tpaddings attribute
Tparams - Variable in class org.tensorflow.op.core.Gather.Inputs: The Tparams attribute
Tparams - Variable in class org.tensorflow.op.core.GatherNd.Inputs: The Tparams attribute
Tperm - Variable in class org.tensorflow.op.linalg.ConjugateTranspose.Inputs: The Tperm attribute
Tperm - Variable in class org.tensorflow.op.linalg.Transpose.Inputs: The Tperm attribute
tpu - Variable in class org.tensorflow.op.Ops
TPU - Enum constant in enum org.tensorflow.DeviceSpec.DeviceType
TPU - Enum constant in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: TPU = 3;
TPU_COMPILE_OP - Enum constant in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: TPU_COMPILE_OP = 1;
TPU_COMPILE_OP_VALUE - Static variable in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: TPU_COMPILE_OP = 1;
TPU_VALUE - Static variable in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: TPU = 3;
tPUAnnotateTensorsWithDynamicShape(Iterable) - Method in class org.tensorflow.op.TpuOps: The TPUAnnotateTensorsWithDynamicShape operation
TPUAnnotateTensorsWithDynamicShape - Class in org.tensorflow.op.tpu: The TPUAnnotateTensorsWithDynamicShape operation
TPUAnnotateTensorsWithDynamicShape(Operation) - Constructor for class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape
TPUAnnotateTensorsWithDynamicShape.Inputs - Class in org.tensorflow.op.tpu
tpuCancellationClosesChips - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: The tpuCancellationClosesChips attribute
tpuCancellationClosesChips(Long) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the tpuCancellationClosesChips option.
tpuCancellationClosesChips(Long) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the tpuCancellationClosesChips option.
tPUCompilationResult() - Method in class org.tensorflow.op.TpuOps: Deprecated.
use CompilationResult instead
TPUCompilationResult - Class in org.tensorflow.op.tpu: Deprecated.
use CompilationResult instead
TPUCompilationResult(Operation) - Constructor for class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.
TPUCompilationResult.Inputs - Class in org.tensorflow.op.tpu: Deprecated.
tpuCompileOptionsProto - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The tpuCompileOptionsProto attribute
tpuCompileOptionsProto - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The tpuCompileOptionsProto attribute
tpuCompileOptionsProto(String) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the tpuCompileOptionsProto option.
tpuCompileOptionsProto(String) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the tpuCompileOptionsProto option.
tpuCompileOptionsProto(String) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the tpuCompileOptionsProto option.
tpuCompileOptionsProto(String) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the tpuCompileOptionsProto option.
tPUCopyWithDynamicShape(Iterable, Iterable) - Method in class org.tensorflow.op.TpuOps: Op that copies host tensor to device with dynamic shape support.
TPUCopyWithDynamicShape - Class in org.tensorflow.op.tpu: Op that copies host tensor to device with dynamic shape support.
TPUCopyWithDynamicShape(Operation) - Constructor for class org.tensorflow.op.tpu.TPUCopyWithDynamicShape
TPUCopyWithDynamicShape.Inputs - Class in org.tensorflow.op.tpu
tpuCore - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: Default core to use for host to device transfers.
tpuCore(Long) - Method in class org.tensorflow.op.xla.XlaHostCompute.Options: Sets the tpuCore option.
tpuCore(Long) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Sets the tpuCore option.
tPUEmbeddingActivations(Operand, Operand, Long, Long) - Method in class org.tensorflow.op.TpuOps: Deprecated.
use EmbeddingActivations instead
TPUEmbeddingActivations - Class in org.tensorflow.op.tpu: Deprecated.
use EmbeddingActivations instead
TPUEmbeddingActivations(Operation) - Constructor for class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.
TPUEmbeddingActivations.Inputs - Class in org.tensorflow.op.tpu: Deprecated.
tpuEmbeddingConfig - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: Serialized tensorflow.tpu.TPUEmbeddingConfiguration that describes the embedding lookups of the program.
tpuEmbeddingConfig(String) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the tpuEmbeddingConfig option.
tpuEmbeddingConfig(String) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the tpuEmbeddingConfig option.
tpuHandleToProtoKey(Operand) - Method in class org.tensorflow.op.TpuOps: Converts XRT's uid handles to TensorFlow-friendly input format.
TpuHandleToProtoKey - Class in org.tensorflow.op.tpu: Converts XRT's uid handles to TensorFlow-friendly input format.
TpuHandleToProtoKey(Operation) - Constructor for class org.tensorflow.op.tpu.TpuHandleToProtoKey
TpuHandleToProtoKey.Inputs - Class in org.tensorflow.op.tpu
TpuOps - Class in org.tensorflow.op: An API for building tpu operations as Ops
tPUReplicatedInput(Iterable, TPUReplicatedInput.Options...) - Method in class org.tensorflow.op.TpuOps: Deprecated.
use ReplicatedInput instead
TPUReplicatedInput<T> - Class in org.tensorflow.op.tpu: Deprecated.
use ReplicatedInput instead
TPUReplicatedInput(Operation) - Constructor for class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.
TPUReplicatedInput.Inputs<T> - Class in org.tensorflow.op.tpu: Deprecated.
TPUReplicatedInput.Options - Class in org.tensorflow.op.tpu: Deprecated.

Optional attributes for TPUReplicatedInput
tPUReplicatedOutput(Operand, Long) - Method in class org.tensorflow.op.TpuOps: Deprecated.
use ReplicatedOutput instead
TPUReplicatedOutput<T> - Class in org.tensorflow.op.tpu: Deprecated.
use ReplicatedOutput instead
TPUReplicatedOutput(Operation) - Constructor for class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.
TPUReplicatedOutput.Inputs<T> - Class in org.tensorflow.op.tpu: Deprecated.
tPUReplicateMetadata(Long, TPUReplicateMetadata.Options...) - Method in class org.tensorflow.op.TpuOps: Deprecated.
use ReplicateMetadata instead
TPUReplicateMetadata - Class in org.tensorflow.op.tpu: Deprecated.
use ReplicateMetadata instead
TPUReplicateMetadata(Operation) - Constructor for class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.
TPUReplicateMetadata.Inputs - Class in org.tensorflow.op.tpu: Deprecated.
TPUReplicateMetadata.Options - Class in org.tensorflow.op.tpu: Deprecated.

Optional attributes for TPUReplicateMetadata
tPUReshardVariables(Iterable, Operand, Operand) - Method in class org.tensorflow.op.TpuOps: Op that reshards on-device TPU variables to specified state.
TPUReshardVariables - Class in org.tensorflow.op.tpu: Op that reshards on-device TPU variables to specified state.
TPUReshardVariables(Operation) - Constructor for class org.tensorflow.op.tpu.TPUReshardVariables
TPUReshardVariables.Inputs - Class in org.tensorflow.op.tpu
tPURoundRobin() - Method in class org.tensorflow.op.TpuOps: Round-robin load balancing on TPU cores.
TPURoundRobin - Class in org.tensorflow.op.tpu: Round-robin load balancing on TPU cores.
TPURoundRobin(Operation) - Constructor for class org.tensorflow.op.tpu.TPURoundRobin
TPURoundRobin.Inputs - Class in org.tensorflow.op.tpu
tpuTaskId() - Method in class org.tensorflow.op.tpu.GetTpuTaskId: Gets tpuTaskId.
tpuTaskIdToShardId - Variable in class org.tensorflow.op.tpu.UpdateTaskIdAndGlobalCoreArray.Inputs: An array of int32 that maps TPU task ID to shard ID.
tpuTensors() - Method in class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape: Gets tpuTensors.
tpuTensors() - Method in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape: Gets tpuTensors.
tpuTopology - Variable in class org.tensorflow.op.tpu.ComputeDedupDataSize.Inputs: Serialized TpuTopologyArgsProto proto.
tpuTopology - Variable in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask.Inputs: Serialized TpuTopologyArgsProto proto.
tpuTopology - Variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations.Inputs: Serialized TpuTopologyArgsProto proto.
tpuTopology - Variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData.Inputs: Serialized TpuTopologyArgsProto proto.
tpuTopology - Variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs: Serialized TpuTopologyArgsProto proto.
TRACE_LEVEL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunOptions
TRACES_BY_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDebugInfo
TRACES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDebugInfo
TrackableObjectGraphOuterClass - Class in org.tensorflow.proto
TrackableObjectGraphOuterClass.RegisteredSaver - Class in org.tensorflow.proto: Protobuf type tensorflow.RegisteredSaver
TrackableObjectGraphOuterClass.RegisteredSaver.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.RegisteredSaver
TrackableObjectGraphOuterClass.RegisteredSaverOrBuilder - Interface in org.tensorflow.proto
TrackableObjectGraphOuterClass.TrackableObjectGraph - Class in org.tensorflow.proto: Protobuf type tensorflow.TrackableObjectGraph
TrackableObjectGraphOuterClass.TrackableObjectGraph.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.TrackableObjectGraph
TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject - Class in org.tensorflow.proto: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject
TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject
TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference - Class in org.tensorflow.proto: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference
TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject.ObjectReference
TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReferenceOrBuilder - Interface in org.tensorflow.proto
TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor - Class in org.tensorflow.proto: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject.SerializedTensor
TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject.SerializedTensor
TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensorOrBuilder - Interface in org.tensorflow.proto
TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference - Class in org.tensorflow.proto: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference
TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReference
TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReferenceOrBuilder - Interface in org.tensorflow.proto
TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObjectOrBuilder - Interface in org.tensorflow.proto
TrackableObjectGraphOuterClass.TrackableObjectGraphOrBuilder - Interface in org.tensorflow.proto
train - Variable in class org.tensorflow.op.Ops
TRAINABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
TRAINABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VariableDef
TRAINER_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
TrainOps - Class in org.tensorflow.op: An API for building train operations as Ops
transformations - Variable in class org.tensorflow.op.data.AssertNextDataset.Inputs: A tf.string vector tf.Tensor identifying the transformations that are expected to happen next.
transformations - Variable in class org.tensorflow.op.data.AssertPrevDataset.Inputs: A tf.string vector tf.Tensor identifying the transformations, with optional attribute name-value pairs, that are expected to have happened previously.
transformations - Variable in class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs: The transformations input
transformedImages() - Method in class org.tensorflow.op.image.ImageProjectiveTransformV2: Gets transformedImages. 4-D with shape [batch, new_height, new_width, channels].
transformedImages() - Method in class org.tensorflow.op.image.ImageProjectiveTransformV3: Gets transformedImages. 4-D with shape [batch, new_height, new_width, channels].
transforms - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: 2-D Tensor, [batch, 8] or [1, 8] matrix, where each row corresponds to a 3 x 3 projective transformation matrix, with the last entry assumed to be 1.
transforms - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: 2-D Tensor, [batch, 8] or [1, 8] matrix, where each row corresponds to a 3 x 3 projective transformation matrix, with the last entry assumed to be 1.
translation - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The translation input
translation - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The translation input
TransportOptions - Class in org.tensorflow.proto
TransportOptions.RecvBufRespExtra - Class in org.tensorflow.proto: Extra data needed on a non-RDMA RecvBufResponse.
TransportOptions.RecvBufRespExtra.Builder - Class in org.tensorflow.proto: Extra data needed on a non-RDMA RecvBufResponse.
TransportOptions.RecvBufRespExtraOrBuilder - Interface in org.tensorflow.proto
transpose(Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: Shuffle dimensions of x according to a permutation.
Transpose<T> - Class in org.tensorflow.op.linalg: Shuffle dimensions of x according to a permutation.
Transpose(Operation) - Constructor for class org.tensorflow.op.linalg.Transpose
Transpose.Inputs<T> - Class in org.tensorflow.op.linalg
transposeA - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: If true, "a" is transposed before multiplication.
transposeA - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: If true, a is transposed before multiplication.
transposeA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: If true, a is transposed before multiplication.
transposeA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: If true, a is transposed before multiplication.
transposeA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: If true, a is transposed before multiplication.
transposeA - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Indicates whether a should be transposed.
transposeA - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: Indicates whether a should be transposed.
transposeA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The transposeA attribute
transposeA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The transposeA attribute
transposeA - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The transposeA attribute
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.MatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.MatMul: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMul: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Sets the transposeA option.
transposeB - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: If true, "b" is transposed before multiplication.
transposeB - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: If true, b is transposed before multiplication.
transposeB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: If true, b is transposed before multiplication.
transposeB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: If true, b is transposed before multiplication.
transposeB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: If true, b is transposed before multiplication.
transposeB - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Indicates whether b should be transposed.
transposeB - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: Indicates whether b should be transposed.
transposeB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The transposeB attribute
transposeB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The transposeB attribute
transposeB - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The transposeB attribute
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.MatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.MatMul: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMul: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Sets the transposeB option.
transposeOutput - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Transposes the product of a and b.
transposeOutput(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the transposeOutput option.
transposeOutput(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the transposeOutput option.
TreaderFuncArgs - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The TreaderFuncArgs attribute
TreaderFuncArgs - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The TreaderFuncArgs attribute
Treal - Variable in class org.tensorflow.op.signal.Irfft.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Irfft2d.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Irfft3d.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.IrfftNd.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Rfft.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Rfft2d.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Rfft3d.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.RfftNd.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: The Treal attribute
TreduceFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The TreduceFuncOtherArguments attribute
TreduceFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The TreduceFuncOtherArguments attribute
TreduceFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The TreduceFuncOtherArguments attribute
TreduceFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The TreduceFuncOtherArguments attribute
Tresults - Variable in class org.tensorflow.op.tpu.Execute.Inputs: The Tresults attribute
Tresults - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The Tresults attribute
Trhs - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The type of rhs (quantized) input Tensor.
Trhs - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The type of rhs (quantized) input Tensor.
triangularSolve(Operand, Operand, TriangularSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: Solves systems of linear equations with upper or lower triangular matrices by backsubstitution.
TriangularSolve<T> - Class in org.tensorflow.op.linalg: Solves systems of linear equations with upper or lower triangular matrices by backsubstitution.
TriangularSolve(Operation) - Constructor for class org.tensorflow.op.linalg.TriangularSolve
TriangularSolve.Inputs<T> - Class in org.tensorflow.op.linalg
TriangularSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for TriangularSolve
tridiagonalMatMul(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: Calculate product with tridiagonal matrix.
TridiagonalMatMul<T> - Class in org.tensorflow.op.linalg: Calculate product with tridiagonal matrix.
TridiagonalMatMul(Operation) - Constructor for class org.tensorflow.op.linalg.TridiagonalMatMul
TridiagonalMatMul.Inputs<T> - Class in org.tensorflow.op.linalg
tridiagonalSolve(Operand, Operand, TridiagonalSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: Solves tridiagonal systems of equations.
TridiagonalSolve<T> - Class in org.tensorflow.op.linalg: Solves tridiagonal systems of equations.
TridiagonalSolve(Operation) - Constructor for class org.tensorflow.op.linalg.TridiagonalSolve
TridiagonalSolve.Inputs<T> - Class in org.tensorflow.op.linalg
TridiagonalSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for TridiagonalSolve
TRUE_NEGATIVES - Static variable in class org.tensorflow.framework.metrics.AUC
TRUE_NEGATIVES - Static variable in class org.tensorflow.framework.metrics.PrecisionAtRecall
TRUE_NEGATIVES - Static variable in class org.tensorflow.framework.metrics.RecallAtPrecision
TRUE_NEGATIVES - Static variable in class org.tensorflow.framework.metrics.SensitivityAtSpecificity
TRUE_NEGATIVES - Static variable in class org.tensorflow.framework.metrics.SpecificityAtSensitivity
TRUE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.AUC
TRUE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.PrecisionAtRecall
TRUE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.RecallAtPrecision
TRUE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.SensitivityAtSpecificity
TRUE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.SpecificityAtSensitivity
TRUE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.Precision
TRUE_POSITIVES - Static variable in class org.tensorflow.framework.metrics.Recall
trueClasses - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: The true_classes output of UnpackSparseLabels.
trueClasses - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueExpectedCount() - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.random.AllCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.random.LogUniformCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.random.UniformCandidateSampler: Gets trueExpectedCount.
trueNegatives - Variable in class org.tensorflow.framework.metrics.PrecisionAtRecall
trueNegatives - Variable in class org.tensorflow.framework.metrics.RecallAtPrecision
trueNegatives - Variable in class org.tensorflow.framework.metrics.SensitivityAtSpecificity
trueNegatives - Variable in class org.tensorflow.framework.metrics.SpecificityAtSensitivity
TrueNegatives<T> - Class in org.tensorflow.framework.metrics: Metric that calculates the number of true negatives.
TrueNegatives(float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.TrueNegatives: Creates a TrueNegatives metric, using Class.getSimpleName() for the metric name
TrueNegatives(float, long, Class) - Constructor for class org.tensorflow.framework.metrics.TrueNegatives: Creates a TrueNegatives metric, using Class.getSimpleName() for the metric name
TrueNegatives(long, Class) - Constructor for class org.tensorflow.framework.metrics.TrueNegatives: Creates a TrueNegatives metric, using Class.getSimpleName() for the metric name and a default threshold of ConfusionMatrixConditionCount.DEFAULT_THRESHOLD.
TrueNegatives(String, float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.TrueNegatives: Creates a TrueNegatives metric
TrueNegatives(String, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.TrueNegatives: Creates a TrueNegatives metric
TrueNegatives(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.TrueNegatives: Creates a TrueNegatives metric, using a default threshold of ConfusionMatrixConditionCount.DEFAULT_THRESHOLD.
truePositives - Variable in class org.tensorflow.framework.metrics.PrecisionAtRecall
truePositives - Variable in class org.tensorflow.framework.metrics.RecallAtPrecision
truePositives - Variable in class org.tensorflow.framework.metrics.SensitivityAtSpecificity
truePositives - Variable in class org.tensorflow.framework.metrics.SpecificityAtSensitivity
TruePositives<T> - Class in org.tensorflow.framework.metrics: Metric that calculates the number of true positives.
TruePositives(float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.TruePositives: Creates a TruePositives metric, using Class.getSimpleName() for the metric name
TruePositives(float, long, Class) - Constructor for class org.tensorflow.framework.metrics.TruePositives: Creates a TruePositives metric, using Class.getSimpleName() for the metric name
TruePositives(long, Class) - Constructor for class org.tensorflow.framework.metrics.TruePositives: Creates a TruePositives metric, using Class.getSimpleName() for the metric name and a default threshold of ConfusionMatrixConditionCount.DEFAULT_THRESHOLD.
TruePositives(String, float[], long, Class) - Constructor for class org.tensorflow.framework.metrics.TruePositives: Creates a TruePositives metric
TruePositives(String, float, long, Class) - Constructor for class org.tensorflow.framework.metrics.TruePositives: Creates a TruePositives metric
TruePositives(String, long, Class) - Constructor for class org.tensorflow.framework.metrics.TruePositives: Creates a TruePositives metric, using a default threshold of ConfusionMatrixConditionCount.DEFAULT_THRESHOLD.
Truncate - Variable in class org.tensorflow.op.dtypes.Cast.Inputs: The Truncate attribute
Truncate(Boolean) - Method in class org.tensorflow.op.dtypes.Cast.Options: Sets the Truncate option.
Truncate(Boolean) - Static method in class org.tensorflow.op.dtypes.Cast: Sets the Truncate option.
TRUNCATED_NORMAL - Enum constant in enum org.tensorflow.framework.initializers.VarianceScaling.Distribution
truncateDiv(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns x / y element-wise, rounded towards zero.
TruncateDiv<T> - Class in org.tensorflow.op.math: Returns x / y element-wise, rounded towards zero.
TruncateDiv(Operation) - Constructor for class org.tensorflow.op.math.TruncateDiv
TruncateDiv.Inputs<T> - Class in org.tensorflow.op.math
truncatedNormal(Operand, Class, TruncatedNormal.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a truncated normal distribution.
TruncatedNormal<T> - Class in org.tensorflow.framework.initializers: Initializer that generates a truncated normal distribution.
TruncatedNormal - Class in org.tensorflow.op.random: Outputs random values from a truncated normal distribution.
TruncatedNormal(double, double, long) - Constructor for class org.tensorflow.framework.initializers.TruncatedNormal: Creates a TruncatedNormal Initializer.
TruncatedNormal(long) - Constructor for class org.tensorflow.framework.initializers.TruncatedNormal: Creates a TruncatedNormal Initializer using TruncatedNormal.MEAN_DEFAULT for the mean and TruncatedNormal.STDDEV_DEFAULT for the standard deviation.
TruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.TruncatedNormal
TruncatedNormal.Inputs - Class in org.tensorflow.op.random
TruncatedNormal.Options - Class in org.tensorflow.op.random: Optional attributes for TruncatedNormal
truncateMod(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns element-wise remainder of division.
TruncateMod<T> - Class in org.tensorflow.op.math: Returns element-wise remainder of division.
TruncateMod(Operation) - Constructor for class org.tensorflow.op.math.TruncateMod
TruncateMod.Inputs<T> - Class in org.tensorflow.op.math
truthIndices - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The indices of the truth list SparseTensor.
truthShape - Variable in class org.tensorflow.op.core.EditDistance.Inputs: truth indices, vector.
truthValues - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The values of the truth list SparseTensor.
tryRecoverTruncated - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: If true try to recover an image from truncated input.
tryRecoverTruncated - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: If true try to recover an image from truncated input.
tryRecoverTruncated(Boolean) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the tryRecoverTruncated option.
tryRecoverTruncated(Boolean) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the tryRecoverTruncated option.
tryRecoverTruncated(Boolean) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the tryRecoverTruncated option.
tryRecoverTruncated(Boolean) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the tryRecoverTruncated option.
ts() - Method in class org.tensorflow.op.core.Timestamp: Gets ts.
Tseed - Variable in class org.tensorflow.op.core.RandomIndexShuffle.Inputs: The type of seed.
Tseed - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounter.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: The Tseed attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The Tsegmentids attribute
Tserialized - Variable in class org.tensorflow.op.sparse.DeserializeSparse.Inputs: The Tserialized attribute
Tshape - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.core.Reshape.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: The Tshape attribute
TshardFuncArgs - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The TshardFuncArgs attribute
TshardFuncArgs - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The TshardFuncArgs attribute
Tshift - Variable in class org.tensorflow.op.core.Roll.Inputs: The Tshift attribute
TSL_ABORTED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_ALREADY_EXISTS - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_CANCELLED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_DATA_LOSS - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_DEADLINE_EXCEEDED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_FAILED_PRECONDITION - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_INTERNAL - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_INVALID_ARGUMENT - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_NOT_FOUND - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_OK - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_OUT_OF_RANGE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_PERMISSION_DENIED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_RESOURCE_EXHAUSTED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_UNAUTHENTICATED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_UNAVAILABLE - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_UNIMPLEMENTED - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
TSL_UNKNOWN - Static variable in class org.tensorflow.internal.c_api.global.tensorflow: enum TSL_Code
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: The Tsplits attribute
Tstate - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The Tstate attribute
Tstate - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The Tstate attribute
Tstate - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The Tstate attribute
TString - Interface in org.tensorflow.types: String type.
TString - Static variable in class org.tensorflow.generator.op.Names
Tsummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The Tsummand attribute
Tsummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The Tsummand attribute
TType - Interface in org.tensorflow.types.family: Common interface for all typed tensors.
TType - Static variable in class org.tensorflow.generator.op.Names
TUint16 - Interface in org.tensorflow.types: 16-bit unsigned integer tensor type.
TUint8 - Interface in org.tensorflow.types: 8-bit unsigned integer tensor type.
TUint8 - Static variable in class org.tensorflow.generator.op.Names
TUNABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
TUPLE_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
TUPLE_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
tupleMask - Variable in class org.tensorflow.op.tpu.MergeDedupData.Inputs: A serialized TensorProto string of output tuple mask.
tupleMask - Variable in class org.tensorflow.op.tpu.SplitDedupData.Inputs: A serialized TensorProto string of output tuple mask.
Tval - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: The Tval attribute
Tvalues - Variable in class org.tensorflow.op.core.LookupTableExport.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: The Tvalues attribute
TwindowSizeFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The TwindowSizeFuncOtherArguments attribute
TwindowSizeFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The TwindowSizeFuncOtherArguments attribute
TWO - Enum constant in enum org.tensorflow.proto.RewriterConfig.NumIterationsType: TWO = 2;
TWO_VALUE - Static variable in enum org.tensorflow.proto.RewriterConfig.NumIterationsType: TWO = 2;
type - Variable in class org.tensorflow.op.AttributeMetadata: The type of this attribute, or the type of the list values if it is a list.
type - Variable in class org.tensorflow.op.core.Bitcast.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros.Inputs: The type attribute
type() - Method in class org.tensorflow.GraphOperation
type() - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
type() - Method in interface org.tensorflow.Operand: Returns the tensor type of this operand
type() - Method in interface org.tensorflow.Operation: Returns the type of the operation, i.e., the name of the computation performed by the operation.
type() - Method in class org.tensorflow.Output: Returns the type of the tensor referred to by this Output.
type() - Method in interface org.tensorflow.types.family.TType: Returns the type of this tensor as a registered subclass of TType
type(int) - Method in class org.tensorflow.internal.c_api.TF_AttrMetadata
TYPE - Enum constant in enum org.tensorflow.proto.AttrValue.ValueCase
TYPE_ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.ArgDef
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue.ListValue
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AttrValue
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.AvailableDeviceInfo
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.InterconnectLink
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.ArgDef
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.AttrDef
TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedSliceMeta
TYPE_HINT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SummaryDescription
TYPE_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FullTypeDef
TYPE_LIST_ATTR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDef.ArgDef
TYPE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphTransferNodeInfo
TYPE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VariantTensorDataProto
TYPE_SPEC_CLASS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.TypeSpecProto
TYPE_SPEC_CLASS_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.TypeSpecProto
TYPE_SPEC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorInfo.CompositeTensor
TYPE_SPEC_PROTO_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
TYPE_SPEC_VALUE - Enum constant in enum org.tensorflow.proto.Struct.StructuredValue.KindCase
TYPE_SPEC_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.StructuredValue
TYPE_STATE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.TypeSpecProto
TypesPackage - Static variable in class org.tensorflow.generator.op.Names
TypesProtos - Class in org.tensorflow.proto

U

u - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The u input
u() - Method in class org.tensorflow.op.linalg.BatchSvd: Gets u.
u() - Method in class org.tensorflow.op.linalg.Svd: Gets u.
u() - Method in class org.tensorflow.op.nn.GRUBlockCell: Gets u.
U - Variable in class org.tensorflow.op.core.RelayoutLike.Inputs: The U attribute
U - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: The data type for the scale, offset, mean, and variance.
U - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: The data type for the scale, offset, mean, and variance.
u_large() - Method in class org.tensorflow.internal.c_api.TF_TString
u_large(TF_TString_Large) - Method in class org.tensorflow.internal.c_api.TF_TString
u_offset() - Method in class org.tensorflow.internal.c_api.TF_TString
u_offset(TF_TString_Offset) - Method in class org.tensorflow.internal.c_api.TF_TString
u_raw() - Method in class org.tensorflow.internal.c_api.TF_TString
u_raw(TF_TString_Raw) - Method in class org.tensorflow.internal.c_api.TF_TString
u_smll() - Method in class org.tensorflow.internal.c_api.TF_TString
u_smll(TF_TString_Small) - Method in class org.tensorflow.internal.c_api.TF_TString
u_view() - Method in class org.tensorflow.internal.c_api.TF_TString
u_view(TF_TString_View) - Method in class org.tensorflow.internal.c_api.TF_TString
uid - Variable in class org.tensorflow.op.tpu.TpuHandleToProtoKey.Inputs: The uid input
UINT32_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
UINT64_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
UINT64_VALUE - Enum constant in enum org.tensorflow.proto.profiler.Xplane.XStat.ValueCase
UINT64_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XStat
UNAUTHENTICATED - Enum constant in enum org.tensorflow.proto.error.Code: The request does not have valid authentication credentials for the operation.
UNAUTHENTICATED_VALUE - Static variable in enum org.tensorflow.proto.error.Code: The request does not have valid authentication credentials for the operation.
UNAVAILABLE - Enum constant in enum org.tensorflow.proto.error.Code: The service is currently unavailable.
UNAVAILABLE_VALUE - Static variable in enum org.tensorflow.proto.error.Code: The service is currently unavailable.
unbatch(Operand, Operand, Operand, Long, Unbatch.Options...) - Method in class org.tensorflow.op.Ops: Reverses the operation of Batch for a single output Tensor.
Unbatch<T> - Class in org.tensorflow.op.core: Reverses the operation of Batch for a single output Tensor.
Unbatch(Operation) - Constructor for class org.tensorflow.op.core.Unbatch
Unbatch.Inputs<T> - Class in org.tensorflow.op.core
Unbatch.Options - Class in org.tensorflow.op.core: Optional attributes for Unbatch
unbatchDataset(Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: A dataset that splits the elements of its input into multiple elements.
unbatchDataset(Operand, List, List, UnbatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: A dataset that splits the elements of its input into multiple elements.
UnbatchDataset - Class in org.tensorflow.op.data.experimental: A dataset that splits the elements of its input into multiple elements.
UnbatchDataset - Class in org.tensorflow.op.data: A dataset that splits the elements of its input into multiple elements.
UnbatchDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.UnbatchDataset
UnbatchDataset(Operation) - Constructor for class org.tensorflow.op.data.UnbatchDataset
UnbatchDataset.Inputs - Class in org.tensorflow.op.data.experimental
UnbatchDataset.Inputs - Class in org.tensorflow.op.data
UnbatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for UnbatchDataset
unbatchedTensor() - Method in class org.tensorflow.op.core.Unbatch: Gets unbatchedTensor.
unbatchGrad(Operand, Operand, Operand, Operand, UnbatchGrad.Options...) - Method in class org.tensorflow.op.Ops: Gradient of Unbatch.
UnbatchGrad<T> - Class in org.tensorflow.op.core: Gradient of Unbatch.
UnbatchGrad(Operation) - Constructor for class org.tensorflow.op.core.UnbatchGrad
UnbatchGrad.Inputs<T> - Class in org.tensorflow.op.core
UnbatchGrad.Options - Class in org.tensorflow.op.core: Optional attributes for UnbatchGrad
uncompress - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The uncompress attribute
uncompress(Boolean) - Method in class org.tensorflow.op.data.DataServiceDataset.Options: Sets the uncompress option.
uncompress(Boolean) - Static method in class org.tensorflow.op.data.DataServiceDataset: Sets the uncompress option.
UNCOMPRESSED_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
uncompressElement(Operand, List, List) - Method in class org.tensorflow.op.DataOps: Uncompresses a compressed dataset element.
UncompressElement - Class in org.tensorflow.op.data: Uncompresses a compressed dataset element.
UncompressElement(Operation) - Constructor for class org.tensorflow.op.data.UncompressElement
UncompressElement.Inputs - Class in org.tensorflow.op.data
unicodeDecode(Operand, String, Class, UnicodeDecode.Options...) - Method in class org.tensorflow.op.StringsOps: Decodes each string in input into a sequence of Unicode code points.
unicodeDecode(Operand, String, UnicodeDecode.Options[]) - Method in class org.tensorflow.op.StringsOps: Decodes each string in input into a sequence of Unicode code points.
UnicodeDecode<T> - Class in org.tensorflow.op.strings: Decodes each string in input into a sequence of Unicode code points.
UnicodeDecode(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeDecode
UnicodeDecode.Inputs - Class in org.tensorflow.op.strings
UnicodeDecode.Options - Class in org.tensorflow.op.strings: Optional attributes for UnicodeDecode
unicodeDecodeWithOffsets(Operand, String, Class, UnicodeDecodeWithOffsets.Options...) - Method in class org.tensorflow.op.StringsOps: Decodes each string in input into a sequence of Unicode code points.
unicodeDecodeWithOffsets(Operand, String, UnicodeDecodeWithOffsets.Options[]) - Method in class org.tensorflow.op.StringsOps: Decodes each string in input into a sequence of Unicode code points.
UnicodeDecodeWithOffsets<T> - Class in org.tensorflow.op.strings: Decodes each string in input into a sequence of Unicode code points.
UnicodeDecodeWithOffsets(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeDecodeWithOffsets
UnicodeDecodeWithOffsets.Inputs - Class in org.tensorflow.op.strings
UnicodeDecodeWithOffsets.Options - Class in org.tensorflow.op.strings: Optional attributes for UnicodeDecodeWithOffsets
unicodeEncode(Operand, Operand, String, UnicodeEncode.Options...) - Method in class org.tensorflow.op.StringsOps: Encode a tensor of ints into unicode strings.
UnicodeEncode - Class in org.tensorflow.op.strings: Encode a tensor of ints into unicode strings.
UnicodeEncode(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeEncode
UnicodeEncode.Inputs - Class in org.tensorflow.op.strings
UnicodeEncode.Options - Class in org.tensorflow.op.strings: Optional attributes for UnicodeEncode
unicodeScript(Operand) - Method in class org.tensorflow.op.StringsOps: Determine the script codes of a given tensor of Unicode integer code points.
UnicodeScript - Class in org.tensorflow.op.strings: Determine the script codes of a given tensor of Unicode integer code points.
UnicodeScript(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeScript
UnicodeScript.Inputs - Class in org.tensorflow.op.strings
unicodeTranscode(Operand, String, String, UnicodeTranscode.Options...) - Method in class org.tensorflow.op.StringsOps: Transcode the input text from a source encoding to a destination encoding.
UnicodeTranscode - Class in org.tensorflow.op.strings: Transcode the input text from a source encoding to a destination encoding.
UnicodeTranscode(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeTranscode
UnicodeTranscode.Inputs - Class in org.tensorflow.op.strings
UnicodeTranscode.Options - Class in org.tensorflow.op.strings: Optional attributes for UnicodeTranscode
UNIFORM - Enum constant in enum org.tensorflow.framework.initializers.VarianceScaling.Distribution
uniformCandidateSampler(Operand, Long, Long, Boolean, Long, UniformCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps: Generates labels for candidate sampling with a uniform distribution.
UniformCandidateSampler - Class in org.tensorflow.op.random: Generates labels for candidate sampling with a uniform distribution.
UniformCandidateSampler(Operation) - Constructor for class org.tensorflow.op.random.UniformCandidateSampler
UniformCandidateSampler.Inputs - Class in org.tensorflow.op.random
UniformCandidateSampler.Options - Class in org.tensorflow.op.random: Optional attributes for UniformCandidateSampler
uniformDequantize(Operand, Operand, Operand, Class, Long, Long, UniformDequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Perform dequantization on the quantized Tensor input.
UniformDequantize - Class in org.tensorflow.op.quantization: Perform dequantization on the quantized Tensor input.
UniformDequantize(Operation) - Constructor for class org.tensorflow.op.quantization.UniformDequantize
UniformDequantize.Inputs - Class in org.tensorflow.op.quantization
UniformDequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for UniformDequantize
uniformNoise - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: indicates if the noise should be generated using a uniform distribution or a Gaussian distribution.
uniformNoise(Boolean) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options: Sets the uniformNoise option.
uniformNoise(Boolean) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Sets the uniformNoise option.
uniformQuantize(Operand, Operand, Operand, Class, Long, Long, UniformQuantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Perform quantization on Tensor input.
UniformQuantize - Class in org.tensorflow.op.quantization: Perform quantization on Tensor input.
UniformQuantize(Operation) - Constructor for class org.tensorflow.op.quantization.UniformQuantize
UniformQuantize.Inputs - Class in org.tensorflow.op.quantization
UniformQuantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for UniformQuantize
uniformQuantizedAdd(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Long, Long, Long, Long, Long, Long, UniformQuantizedAdd.Options...) - Method in class org.tensorflow.op.MathOps: Perform quantized add of quantized Tensor lhs and quantized Tensor rhs to make quantized output.
UniformQuantizedAdd<T> - Class in org.tensorflow.op.math: Perform quantized add of quantized Tensor lhs and quantized Tensor rhs to make quantized output.
UniformQuantizedAdd(Operation) - Constructor for class org.tensorflow.op.math.UniformQuantizedAdd
UniformQuantizedAdd.Inputs<T> - Class in org.tensorflow.op.math
UniformQuantizedAdd.Options - Class in org.tensorflow.op.math: Optional attributes for UniformQuantizedAdd
uniformQuantizedClipByValue(Operand, Operand, Operand, Operand, Operand, Long, Long, UniformQuantizedClipByValue.Options...) - Method in class org.tensorflow.op.Ops: Perform clip by value on the quantized Tensor operand.
UniformQuantizedClipByValue<T> - Class in org.tensorflow.op.core: Perform clip by value on the quantized Tensor operand.
UniformQuantizedClipByValue(Operation) - Constructor for class org.tensorflow.op.core.UniformQuantizedClipByValue
UniformQuantizedClipByValue.Inputs<T> - Class in org.tensorflow.op.core
UniformQuantizedClipByValue.Options - Class in org.tensorflow.op.core: Optional attributes for UniformQuantizedClipByValue
uniformQuantizedConvolution(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, String, Long, Long, Long, Long, Long, Long, UniformQuantizedConvolution.Options...) - Method in class org.tensorflow.op.NnOps: Perform quantized convolution of quantized Tensor lhs and quantized Tensor rhs. to make quantized output.
UniformQuantizedConvolution - Class in org.tensorflow.op.nn: Perform quantized convolution of quantized Tensor lhs and quantized Tensor rhs. to make quantized output.
UniformQuantizedConvolution(Operation) - Constructor for class org.tensorflow.op.nn.UniformQuantizedConvolution
UniformQuantizedConvolution.Inputs<T> - Class in org.tensorflow.op.nn
UniformQuantizedConvolution.Options - Class in org.tensorflow.op.nn: Optional attributes for UniformQuantizedConvolution
uniformQuantizedConvolutionHybrid(Operand, Operand, Operand, Operand, Class, String, Long, Long, UniformQuantizedConvolutionHybrid.Options...) - Method in class org.tensorflow.op.NnOps: Perform hybrid quantized convolution of float Tensor lhs and quantized Tensor rhs.
UniformQuantizedConvolutionHybrid<V> - Class in org.tensorflow.op.nn: Perform hybrid quantized convolution of float Tensor lhs and quantized Tensor rhs.
UniformQuantizedConvolutionHybrid(Operation) - Constructor for class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid
UniformQuantizedConvolutionHybrid.Inputs - Class in org.tensorflow.op.nn
UniformQuantizedConvolutionHybrid.Options - Class in org.tensorflow.op.nn: Optional attributes for UniformQuantizedConvolutionHybrid
uniformQuantizedDot(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Class, Long, Long, Long, Long, Long, Long, UniformQuantizedDot.Options...) - Method in class org.tensorflow.op.QuantizationOps: Perform quantized dot of quantized Tensor lhs and quantized Tensor rhs to make quantized output.
UniformQuantizedDot - Class in org.tensorflow.op.quantization: Perform quantized dot of quantized Tensor lhs and quantized Tensor rhs to make quantized output.
UniformQuantizedDot(Operation) - Constructor for class org.tensorflow.op.quantization.UniformQuantizedDot
UniformQuantizedDot.Inputs<T> - Class in org.tensorflow.op.quantization
UniformQuantizedDot.Options - Class in org.tensorflow.op.quantization: Optional attributes for UniformQuantizedDot
uniformQuantizedDotHybrid(Operand, Operand, Operand, Operand, Class, Long, Long, UniformQuantizedDotHybrid.Options...) - Method in class org.tensorflow.op.QuantizationOps: Perform hybrid quantized dot of float Tensor lhs and quantized Tensor rhs.
UniformQuantizedDotHybrid<V> - Class in org.tensorflow.op.quantization: Perform hybrid quantized dot of float Tensor lhs and quantized Tensor rhs.
UniformQuantizedDotHybrid(Operation) - Constructor for class org.tensorflow.op.quantization.UniformQuantizedDotHybrid
UniformQuantizedDotHybrid.Inputs - Class in org.tensorflow.op.quantization
UniformQuantizedDotHybrid.Options - Class in org.tensorflow.op.quantization: Optional attributes for UniformQuantizedDotHybrid
UniformQuantOpsAttr - Class in org.tensorflow.proto
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr - Class in org.tensorflow.proto: Describes the dimension numbers for Convolution op.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder - Class in org.tensorflow.proto: Describes the dimension numbers for Convolution op.
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder - Interface in org.tensorflow.proto
uniformRequantize(Operand, Operand, Operand, Operand, Operand, Class, Long, Long, Long, Long, UniformRequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Given quantized tensor input, requantize it with new quantization parameters.
UniformRequantize - Class in org.tensorflow.op.quantization: Given quantized tensor input, requantize it with new quantization parameters.
UniformRequantize(Operation) - Constructor for class org.tensorflow.op.quantization.UniformRequantize
UniformRequantize.Inputs - Class in org.tensorflow.op.quantization
UniformRequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for UniformRequantize
unigrams - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: A list of unigram counts or probabilities, one per ID in sequential order.
unigrams(Float...) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the unigrams option.
unigrams(Float...) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the unigrams option.
unigrams(List) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the unigrams option.
unigrams(List) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the unigrams option.
UNIMPLEMENTED - Enum constant in enum org.tensorflow.proto.error.Code: Operation is not implemented or not supported/enabled in this service.
UNIMPLEMENTED_VALUE - Static variable in enum org.tensorflow.proto.error.Code: Operation is not implemented or not supported/enabled in this service.
union(Scope, Operand, Operand) - Static method in class org.tensorflow.framework.op.sets.Sets: Computes set union of elements in last dimension of a and b.
union(Operand, Operand) - Method in class org.tensorflow.framework.op.SetOps: Computes set union of elements in last dimension of a and b.
UNION - Enum constant in enum org.tensorflow.framework.op.sets.Sets.Operation
unique - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique(Operand, Operand) - Method in class org.tensorflow.op.Ops: Finds unique elements along an axis of a tensor.
unique(Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Finds unique elements along an axis of a tensor.
Unique<T,V> - Class in org.tensorflow.op.core: Finds unique elements along an axis of a tensor.
Unique(Operation) - Constructor for class org.tensorflow.op.core.Unique
Unique.Inputs<T> - Class in org.tensorflow.op.core
uniqueDataset(Operand, List, List) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that contains the unique elements of input_dataset.
uniqueDataset(Operand, List, List, UniqueDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that contains the unique elements of input_dataset.
UniqueDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that contains the unique elements of input_dataset.
UniqueDataset - Class in org.tensorflow.op.data: Creates a dataset that contains the unique elements of input_dataset.
UniqueDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.UniqueDataset
UniqueDataset(Operation) - Constructor for class org.tensorflow.op.data.UniqueDataset
UniqueDataset.Inputs - Class in org.tensorflow.op.data.experimental
UniqueDataset.Inputs - Class in org.tensorflow.op.data
UniqueDataset.Options - Class in org.tensorflow.op.data: Optional attributes for UniqueDataset
uniqueWithCounts(Operand, Operand) - Method in class org.tensorflow.op.Ops: Finds unique elements along an axis of a tensor.
uniqueWithCounts(Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Finds unique elements along an axis of a tensor.
UniqueWithCounts<T,V> - Class in org.tensorflow.op.core: Finds unique elements along an axis of a tensor.
UniqueWithCounts(Operation) - Constructor for class org.tensorflow.op.core.UniqueWithCounts
UniqueWithCounts.Inputs<T> - Class in org.tensorflow.op.core
unit - Variable in class org.tensorflow.op.strings.StringLength.Inputs: The unit that is counted to compute string length.
unit - Variable in class org.tensorflow.op.strings.Substr.Inputs: The unit that is used to create the substring.
unit(String) - Method in class org.tensorflow.op.strings.StringLength.Options: Sets the unit option.
unit(String) - Static method in class org.tensorflow.op.strings.StringLength: Sets the unit option.
unit(String) - Method in class org.tensorflow.op.strings.Substr.Options: Sets the unit option.
unit(String) - Static method in class org.tensorflow.op.strings.Substr: Sets the unit option.
UnitNorm - Class in org.tensorflow.framework.constraints: Constrains the weights to have unit norm.
UnitNorm() - Constructor for class org.tensorflow.framework.constraints.UnitNorm: Create a UnitNorm AbstractConstraint with the axis set to UnitNorm.AXIS_DEFAULT
UnitNorm(int) - Constructor for class org.tensorflow.framework.constraints.UnitNorm: Create a UnitNorm AbstractConstraint
UnitNorm(int[]) - Constructor for class org.tensorflow.framework.constraints.UnitNorm: Create a UnitNorm AbstractConstraint
unitsCompleted() - Method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted: Gets unitsCompleted.
UNKNOWN - Enum constant in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: UNKNOWN = 0;
UNKNOWN - Enum constant in enum org.tensorflow.proto.data.model.Model.NodeClass: UNKNOWN = 0;
UNKNOWN - Enum constant in enum org.tensorflow.proto.error.Code: Unknown error.
UNKNOWN - Enum constant in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

UNKNOWN = 0;
UNKNOWN - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: UNKNOWN = 0;
UNKNOWN - Enum constant in enum org.tensorflow.proto.TestResults.BenchmarkType: Fallback for protos written before Type was introduced.
UNKNOWN_RANK_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorShapeProto
UNKNOWN_RATIO - Enum constant in enum org.tensorflow.proto.data.model.Model.NodeClass: UNKNOWN_RATIO = 5;
UNKNOWN_RATIO_VALUE - Static variable in enum org.tensorflow.proto.data.model.Model.NodeClass: UNKNOWN_RATIO = 5;
UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: UNKNOWN = 0;
UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.data.model.Model.NodeClass: UNKNOWN = 0;
UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.error.Code: Unknown error.
UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

UNKNOWN = 0;
UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: UNKNOWN = 0;
UNKNOWN_VALUE - Static variable in enum org.tensorflow.proto.TestResults.BenchmarkType: Fallback for protos written before Type was introduced.
unpaddedSizes - Variable in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape.Inputs: The unpaddedSizes input
unravelIndex(Operand, Operand) - Method in class org.tensorflow.op.Ops: Converts an array of flat indices into a tuple of coordinate arrays.
UnravelIndex<T> - Class in org.tensorflow.op.core: Converts an array of flat indices into a tuple of coordinate arrays.
UnravelIndex(Operation) - Constructor for class org.tensorflow.op.core.UnravelIndex
UnravelIndex.Inputs<T> - Class in org.tensorflow.op.core
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.ApiDef.Visibility
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.BundleHeaderProto.Endianness
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.data.DataService.DeploymentMode
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.data.model.Model.NodeClass
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.DataClass
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.DataType
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.error.Code
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.FullTypeId
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.GraphTransferInfo.Destination
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.LogMessage.Level: Deprecated.
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.OptimizerOptions.Level
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.RewriterConfig.CpuLayout
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.RewriterConfig.MemOptType
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.RewriterConfig.NumIterationsType
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.RewriterConfig.Toggle
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.RunOptions.TraceLevel
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.SessionLog.SessionStatus
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.TensorDebugMode
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.TestResults.BenchmarkType
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.VariableAggregation
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.VariableSynchronization
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.VerifierConfig.Toggle
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.WorkerHealth
UNRECOGNIZED - Enum constant in enum org.tensorflow.proto.WorkerShutdownMode
unsortedSegmentJoin(Operand, Operand, Operand, UnsortedSegmentJoin.Options...) - Method in class org.tensorflow.op.StringsOps: The UnsortedSegmentJoin operation
UnsortedSegmentJoin - Class in org.tensorflow.op.strings: The UnsortedSegmentJoin operation
UnsortedSegmentJoin(Operation) - Constructor for class org.tensorflow.op.strings.UnsortedSegmentJoin
UnsortedSegmentJoin.Inputs - Class in org.tensorflow.op.strings
UnsortedSegmentJoin.Options - Class in org.tensorflow.op.strings: Optional attributes for UnsortedSegmentJoin
unsortedSegmentMax(Operand, Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the maximum along segments of a tensor.
UnsortedSegmentMax<T> - Class in org.tensorflow.op.math: Computes the maximum along segments of a tensor.
UnsortedSegmentMax(Operation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentMax
UnsortedSegmentMax.Inputs<T> - Class in org.tensorflow.op.math
unsortedSegmentMin(Operand, Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the minimum along segments of a tensor.
UnsortedSegmentMin<T> - Class in org.tensorflow.op.math: Computes the minimum along segments of a tensor.
UnsortedSegmentMin(Operation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentMin
UnsortedSegmentMin.Inputs<T> - Class in org.tensorflow.op.math
unsortedSegmentProd(Operand, Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the product along segments of a tensor.
UnsortedSegmentProd<T> - Class in org.tensorflow.op.math: Computes the product along segments of a tensor.
UnsortedSegmentProd(Operation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentProd
UnsortedSegmentProd.Inputs<T> - Class in org.tensorflow.op.math
unsortedSegmentSum(Operand, Operand, Operand) - Method in class org.tensorflow.op.MathOps: Computes the sum along segments of a tensor.
UnsortedSegmentSum<T> - Class in org.tensorflow.op.math: Computes the sum along segments of a tensor.
UnsortedSegmentSum(Operation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentSum
UnsortedSegmentSum.Inputs<T> - Class in org.tensorflow.op.math
UNSPECIFIED - Enum constant in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: UNSPECIFIED = 0;
UNSPECIFIED - Enum constant in enum org.tensorflow.proto.TensorDebugMode: UNSPECIFIED = 0;
UNSPECIFIED_VALUE - Static variable in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: UNSPECIFIED = 0;
UNSPECIFIED_VALUE - Static variable in enum org.tensorflow.proto.TensorDebugMode: UNSPECIFIED = 0;
unstack(Operand, Long, Unstack.Options...) - Method in class org.tensorflow.op.Ops: Unpacks a given dimension of a rank-R tensor into num rank-(R-1) tensors.
Unstack<T> - Class in org.tensorflow.op.core: Unpacks a given dimension of a rank-R tensor into num rank-(R-1) tensors.
Unstack(Operation) - Constructor for class org.tensorflow.op.core.Unstack
Unstack.Inputs<T> - Class in org.tensorflow.op.core
Unstack.Options - Class in org.tensorflow.op.core: Optional attributes for Unstack
unstage(List, Unstage.Options...) - Method in class org.tensorflow.op.Ops: Op is similar to a lightweight Dequeue.
Unstage - Class in org.tensorflow.op.core: Op is similar to a lightweight Dequeue.
Unstage(Operation) - Constructor for class org.tensorflow.op.core.Unstage
Unstage.Inputs - Class in org.tensorflow.op.core
Unstage.Options - Class in org.tensorflow.op.core: Optional attributes for Unstage
unwrapDatasetVariant(Operand) - Method in class org.tensorflow.op.DataOps: The UnwrapDatasetVariant operation
UnwrapDatasetVariant - Class in org.tensorflow.op.data: The UnwrapDatasetVariant operation
UnwrapDatasetVariant(Operation) - Constructor for class org.tensorflow.op.data.UnwrapDatasetVariant
UnwrapDatasetVariant.Inputs - Class in org.tensorflow.op.data
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdagrad: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseCoreFtrl: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize: Gets updatedAccumulator.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdagrad: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdam: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseCoreFtrl: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseCoreSgd: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize: Gets updatedEmbeddingTable.
updatedLinear() - Method in class org.tensorflow.op.xla.XlaSparseCoreFtrl: Gets updatedLinear.
updatedLinear() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: Gets updatedLinear.
updatedLinear() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize: Gets updatedLinear.
updatedMomenta() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: Gets updatedMomenta.
updatedMomenta() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize: Gets updatedMomenta.
updatedMomenta() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: Gets updatedMomenta.
updatedMomenta() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize: Gets updatedMomenta.
updatedMomentum() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum: Gets updatedMomentum.
updatedMomentum() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdam: Gets updatedMomentum.
updatedTables() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput: Gets updatedTables.
updatedVelocity() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdam: Gets updatedVelocity.
updatedVelocity() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: Gets updatedVelocity.
updatedVelocity() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize: Gets updatedVelocity.
updates - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: A tensor of values that ref is divided by.
updates - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: A tensor of updated values to reduce into ref.
updates - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: A tensor of updated values to reduce into ref.
updates - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: A tensor of updated values to multiply to ref.
updates - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: Values to scatter into the output tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: A tensor of updated values to subtract from ref.
updates - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: A tensor of updated values to store in ref.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: Value of updates used in the Adadelta optimization algorithm.
updates() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Gets updates.
updateSlots - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: The updateSlots attribute
updateSlots - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: The updateSlots attribute
updateSlots - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: The updateSlots attribute
updateSlots - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: The updateSlots attribute
updateSlots - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: The updateSlots attribute
updateSlots - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: The updateSlots attribute
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagrad.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagrad: Sets the updateSlots option.
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagradV2.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagradV2: Sets the updateSlots option.
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdagrad.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdagrad: Sets the updateSlots option.
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad: Sets the updateSlots option.
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2: Sets the updateSlots option.
updateSlots(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdagrad.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad: Sets the updateSlots option.
updateState(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.BaseMetric: Creates a NoOp Operation with control dependencies to update the metric state
updateState(Ops, Operand, Operand) - Method in interface org.tensorflow.framework.metrics.Metric: Creates a NoOp Operation with control dependencies to update the metric state
updateState(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.BaseMetric: Creates a NoOp Operation with control dependencies to update the metric state
updateState(Ops, Operand, Operand, Operand) - Method in interface org.tensorflow.framework.metrics.Metric: Creates a NoOp Operation with control dependencies to update the metric state
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.BaseMetric: Creates a List of Operations to update the metric state based on input values.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.Accuracy: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.BinaryAccuracy: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.BinaryCrossentropy: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.CategoricalAccuracy: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.CategoricalCrossentropy: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.CategoricalHinge: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.CosineSimilarity: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.Hinge: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.KLDivergence: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.LogCoshError: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.Mean: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.MeanAbsoluteError: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.MeanRelativeError: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.MeanSquaredError: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.Poisson: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.RootMeanSquaredError: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.SquaredHinge: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.Sum: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Updates the metric variables based on the inputs.
updateStateList(Ops, Operand, Operand) - Method in class org.tensorflow.framework.metrics.MeanTensor: Accumulates statistics for computing the element-wise mean.
updateStateList(Ops, Operand, Operand) - Method in interface org.tensorflow.framework.metrics.Metric: Creates a List of Operations to update the metric state based on input values.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.AUC: Creates a List of Operations to update the metric state based on labels and predictions.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.BaseMetric: Creates a List of Operations to update the metric state based on labels and predictions.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.FalseNegatives: Accumulates the metric statistics.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.FalsePositives: Accumulates the metric statistics.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.TrueNegatives: Accumulates the metric statistics.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.TruePositives: Accumulates the metric statistics.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.Accuracy: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.BinaryAccuracy: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.BinaryCrossentropy: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.CategoricalAccuracy: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.CategoricalCrossentropy: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.CategoricalHinge: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.CosineSimilarity: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.Hinge: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.KLDivergence: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.LogCoshError: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.MeanAbsoluteError: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.MeanAbsolutePercentageError: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.MeanSquaredError: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.MeanSquaredLogarithmicError: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.Poisson: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.SparseCategoricalAccuracy: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.SparseCategoricalCrossentropy: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.SquaredHinge: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.TopKCategoricalAccuracy: Creates Operations that update the state of the mean metric, by calling the loss function and passing the loss to the Mean metric to calculate the weighted mean of the loss over many iterations.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.PrecisionAtRecall: Accumulates confusion matrix statistics.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.RecallAtPrecision: Accumulates confusion matrix statistics.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.SensitivityAtSpecificity: Accumulates confusion matrix statistics.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.SpecificityAtSensitivity: Accumulates confusion matrix statistics.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.MeanIoU: Accumulates the confusion matrix statistics.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.MeanRelativeError: Accumulates metric statistics.
updateStateList(Ops, Operand, Operand, Operand) - Method in interface org.tensorflow.framework.metrics.Metric: Creates a List of Operations to update the metric state based on labels and predictions.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.Precision: Accumulates true positive and false positive statistics.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.Recall: Accumulates true positive and false negative statistics.
updateStateList(Ops, Operand, Operand, Operand) - Method in class org.tensorflow.framework.metrics.RootMeanSquaredError: Accumulates root mean squared error statistics.
UpdateTaskIdAndGlobalCoreArray - Class in org.tensorflow.op.tpu: An op to update the task ID and global core array.
UpdateTaskIdAndGlobalCoreArray(Operation) - Constructor for class org.tensorflow.op.tpu.UpdateTaskIdAndGlobalCoreArray
UpdateTaskIdAndGlobalCoreArray.Inputs - Class in org.tensorflow.op.tpu
upper(Operand, Upper.Options...) - Method in class org.tensorflow.op.StringsOps: Converts all lowercase characters into their respective uppercase replacements.
Upper - Class in org.tensorflow.op.strings: Converts all lowercase characters into their respective uppercase replacements.
Upper(Operation) - Constructor for class org.tensorflow.op.strings.Upper
Upper.Inputs - Class in org.tensorflow.op.strings
Upper.Options - Class in org.tensorflow.op.strings: Optional attributes for Upper
upperBound(Operand, Operand) - Method in class org.tensorflow.op.Ops: Applies upper_bound(sorted_search_values, values) along each row.
upperBound(Operand, Operand, Class) - Method in class org.tensorflow.op.Ops: Applies upper_bound(sorted_search_values, values) along each row.
UpperBound - Class in org.tensorflow.op.core: Applies upper_bound(sorted_search_values, values) along each row.
UpperBound(Operation) - Constructor for class org.tensorflow.op.core.UpperBound
UpperBound.Inputs<T> - Class in org.tensorflow.op.core
upperFrequencyLimit - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: The highest frequency to use when calculating the ceptstrum.
upperFrequencyLimit(Float) - Method in class org.tensorflow.op.audio.Mfcc.Options: Sets the upperFrequencyLimit option.
upperFrequencyLimit(Float) - Static method in class org.tensorflow.op.audio.Mfcc: Sets the upperFrequencyLimit option.
USE_CUDA_MALLOC_ASYNC_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
USE_NUMA_AFFINITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
USE_PER_SESSION_THREADS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto
USE_PLUGIN_OPTIMIZERS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RewriterConfig
USE_RPC_FOR_INPROCESS_MASTER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RpcOptions.RPCOptions
USE_RUN_HANDLER_POOL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.RunOptions.Experimental
USE_TFRT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
USE_UNIFIED_MEMORY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Sets the useCudnnOnGpu option.
useDefaultDevice - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The useDefaultDevice attribute
useDefaultDevice(Boolean) - Method in class org.tensorflow.op.data.ScanDataset.Options: Sets the useDefaultDevice option.
useDefaultDevice(Boolean) - Static method in class org.tensorflow.op.data.ScanDataset: Sets the useDefaultDevice option.
useFallback - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: The useFallback attribute
useFallback(Boolean) - Method in class org.tensorflow.op.data.experimental.RebatchDataset.Options: Sets the useFallback option.
useFallback(Boolean) - Static method in class org.tensorflow.op.data.experimental.RebatchDataset: Sets the useFallback option.
useImageIfNoBoundingBoxes - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: Controls behavior if no bounding boxes supplied.
useImageIfNoBoundingBoxes - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: Controls behavior if no bounding boxes supplied.
useImageIfNoBoundingBoxes(Boolean) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the useImageIfNoBoundingBoxes option.
useImageIfNoBoundingBoxes(Boolean) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the useImageIfNoBoundingBoxes option.
useImageIfNoBoundingBoxes(Boolean) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the useImageIfNoBoundingBoxes option.
useImageIfNoBoundingBoxes(Boolean) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the useImageIfNoBoundingBoxes option.
useInterOpParallelism - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The useInterOpParallelism attribute
useInterOpParallelism - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The useInterOpParallelism attribute
useInterOpParallelism - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The useInterOpParallelism attribute
useInterOpParallelism - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The useInterOpParallelism attribute
useInterOpParallelism(Boolean) - Method in class org.tensorflow.op.data.experimental.MapDataset.Options: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Static method in class org.tensorflow.op.data.experimental.MapDataset: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Method in class org.tensorflow.op.data.MapDataset.Options: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Static method in class org.tensorflow.op.data.MapDataset: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Method in class org.tensorflow.op.data.ReduceDataset.Options: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Static method in class org.tensorflow.op.data.ReduceDataset: Sets the useInterOpParallelism option.
useLocking - Variable in class org.tensorflow.op.core.Assign.Inputs: If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.AssignAdd.Inputs: If True, the addition will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.AssignSub.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: If True, the addition will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: If True, the operation will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: If True, the update will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: If True, the update will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: If True, the operation will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: If True, updating of the var, accum and update_accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: If True, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: If True, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: If True, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: If True, updating of the var, mg, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: If True, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: If True, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: If True, updating of the var, accum and update_accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: If True, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: If True, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: If True, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: If True, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: If True, updating of the var, mg, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: If True, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: If True, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: If True, updating of the var, mg, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: If True, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: If True, updating of the var, mg, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: If True, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.core.Assign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.Assign: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.AssignAdd.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.AssignAdd: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.AssignSub.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.AssignSub: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdAdd.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdAdd: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdMax: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdMin.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdMin: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdSub.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdSub: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdUpdate.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdUpdate: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterAdd.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterAdd: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterDiv.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterDiv: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterMax: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterMin.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterMin: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterMul.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterMul: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdAdd.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdAdd: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdMax: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdMin.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdMin: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdSub.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdSub: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdUpdate.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdUpdate: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterSub.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterSub: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterUpdate.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterUpdate: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdadelta.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdadelta: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagradDa.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagradDa: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagradV2.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagradV2: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdam.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdam: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdaMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdaMax: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAddSign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAddSign: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyCenteredRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyCenteredRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyFtrl.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyFtrl: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyGradientDescent: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyMomentum: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyPowerSign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyPowerSign: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyProximalAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyProximalAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyProximalGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyProximalGradientDescent: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdadelta.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdadelta: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdagradDa.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdagradDa: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdam.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdam: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdaMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdaMax: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAddSign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAddSign: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyFtrl.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyFtrl: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyGradientDescent: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyKerasMomentum: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyPowerSign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyPowerSign: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyProximalAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdadelta: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyFtrl: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyMomentum: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdadelta.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdadelta: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdagradDa.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdagradDa: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyFtrl.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyFtrl: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyMomentum: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyProximalAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyRmsProp: Sets the useLocking option.
useNesterov - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: If True, uses the nesterov update.
useNesterov - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: If True, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.
useNesterov - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: If True, uses the nesterov update.
useNesterov - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: If True, the tensor passed to compute grad will be var + momentum * accum, so in the end, the var you get is actually var + momentum * accum.
useNesterov - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: If True, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.
useNesterov - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: If True, the tensor passed to compute grad will be var + momentum * accum, so in the end, the var you get is actually var + momentum * accum.
useNesterov - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: If True, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.
useNesterov - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: If True, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.
useNesterov - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The useNesterov attribute
useNesterov - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The useNesterov attribute
useNesterov - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs: The useNesterov attribute
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ApplyAdam.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdam: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ApplyMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ApplyMomentum: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdam.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdam: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyKerasMomentum: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyMomentum: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.SparseApplyMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyMomentum: Sets the useNesterov option.
useNodeNameSharing - Variable in class org.tensorflow.op.core.HashTable.Inputs: If true and shared_name is empty, the table is shared using the node name.
useNodeNameSharing - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The useNodeNameSharing attribute
useNodeNameSharing - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: If true and shared_name is empty, the table is shared using the node name.
useNodeNameSharing - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: The useNodeNameSharing attribute
useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.HashTable.Options: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.HashTable: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.MutableHashTable.Options: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.MutableHashTable: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Sets the useNodeNameSharing option.
usePeephole - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Whether to use peephole weights.
usePeephole - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: Whether to use peephole weights.
usePeephole - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: Whether to use peephole weights.
usePeephole - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: Whether the cell uses peephole connections.
usePeephole(Boolean) - Method in class org.tensorflow.op.nn.BlockLSTM.Options: Sets the usePeephole option.
usePeephole(Boolean) - Static method in class org.tensorflow.op.nn.BlockLSTM: Sets the usePeephole option.
usePeephole(Boolean) - Method in class org.tensorflow.op.nn.LSTMBlockCell.Options: Sets the usePeephole option.
usePeephole(Boolean) - Static method in class org.tensorflow.op.nn.LSTMBlockCell: Sets the usePeephole option.
useQuoteDelim - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The useQuoteDelim input
useQuoteDelim - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The useQuoteDelim input
useQuoteDelim - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: If false, treats double quotation marks as regular characters inside of the string fields (ignoring RFC 4180, Section 2, Bullet 5).
useQuoteDelim(Boolean) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the useQuoteDelim option.
useQuoteDelim(Boolean) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the useQuoteDelim option.
USER_OBJECT - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase
USER_OBJECT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
userName - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The userName input
useShardFunc - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The useShardFunc attribute
useShardFunc(Boolean) - Method in class org.tensorflow.op.data.SaveDataset.Options: Sets the useShardFunc option.
useShardFunc(Boolean) - Static method in class org.tensorflow.op.data.SaveDataset: Sets the useShardFunc option.
useSpmdForXlaPartitioning - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The useSpmdForXlaPartitioning attribute
useSpmdForXlaPartitioning - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The useSpmdForXlaPartitioning attribute
useSpmdForXlaPartitioning(Boolean) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the useSpmdForXlaPartitioning option.
useSpmdForXlaPartitioning(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the useSpmdForXlaPartitioning option.
useSpmdForXlaPartitioning(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the useSpmdForXlaPartitioning option.
useSpmdForXlaPartitioning(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the useSpmdForXlaPartitioning option.
useSumInsideSqrt - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The useSumInsideSqrt attribute
useSumInsideSqrt - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The useSumInsideSqrt attribute
useSumInsideSqrt - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The useSumInsideSqrt attribute
useTfrtHostRuntime - Variable in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU.Inputs: The useTfrtHostRuntime attribute
useTfrtHostRuntime(Boolean) - Method in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU.Options: Sets the useTfrtHostRuntime option.
useTfrtHostRuntime(Boolean) - Static method in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU: Sets the useTfrtHostRuntime option.
useTpu - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: Whether to place the computation on the TPU.
useTpu - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

Whether to place the computation on the TPU.
useTpu(Boolean) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the useTpu option.
useTpu(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the useTpu option.
useTpu(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the useTpu option.
useTpu(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the useTpu option.
useUnboundedThreadpool - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The useUnboundedThreadpool attribute
useUnboundedThreadpool(Boolean) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the useUnboundedThreadpool option.
useUnboundedThreadpool(Boolean) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the useUnboundedThreadpool option.
using(Charset) - Method in interface org.tensorflow.types.TString: Use a specific charset for decoding data from a string tensor, instead of the default UTF-8.
UUID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUInfo

V

v - Variable in class org.tensorflow.op.core.InplaceAdd.Inputs: A Tensor of type T.
v - Variable in class org.tensorflow.op.core.InplaceSub.Inputs: A Tensor of type T.
v - Variable in class org.tensorflow.op.core.InplaceUpdate.Inputs: A Tensor of type T.
v - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 1D variance Tensor with size matching the last dimension of t.
v - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A 1D variance Tensor with size matching the last dimension of t.
v - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 1D variance Tensor with size matching the last dimension of t.
v - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The v input
v - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Should be from a Variable().
v - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Should be from a Variable().
v - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Should be from a Variable().
v - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Should be from a Variable().
v - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Should be from a Variable().
v() - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig: Gets v.
v() - Method in class org.tensorflow.op.linalg.BatchSvd: Gets v.
v() - Method in class org.tensorflow.op.linalg.Eig: Gets v.
v() - Method in class org.tensorflow.op.linalg.SelfAdjointEig: Gets v.
v() - Method in class org.tensorflow.op.linalg.Svd: Gets v.
v() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Gets v.
V1 - Enum constant in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion: Deprecated format: tf.Saver() which works with tensorflow::table::Table.
V1_VALUE - Static variable in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion: Deprecated format: tf.Saver() which works with tensorflow::table::Table.
V2 - Enum constant in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion: Current format: more efficient.
V2_VALUE - Static variable in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion: Current format: more efficient.
valGrad() - Method in class org.tensorflow.op.sparse.SparseSliceGrad: Gets valGrad. 1-D.
validateDescription(Signature.TensorDescription, Graph, String, String) - Static method in interface org.tensorflow.TensorFunction
validateIndices - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The validateIndices attribute
validateIndices - Variable in class org.tensorflow.op.core.SetSize.Inputs: The validateIndices attribute
validateIndices - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: The validateIndices attribute
validateIndices - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: The validateIndices attribute
validateIndices - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: If true, indices are checked to make sure they are sorted in lexicographic order and that there are no repeats.
validateIndices - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: The validateIndices attribute
validateIndices(Boolean) - Method in class org.tensorflow.op.core.ResourceGather.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.core.ResourceGather: Sets the validateIndices option.
validateIndices(Boolean) - Method in class org.tensorflow.op.core.SetSize.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.core.SetSize: Sets the validateIndices option.
validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Sets the validateIndices option.
validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Sets the validateIndices option.
validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.SparseToDense.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.SparseToDense: Sets the validateIndices option.
validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Sets the validateIndices option.
validateShape - Variable in class org.tensorflow.op.core.Assign.Inputs: If true, the operation will validate that the shape of 'value' matches the shape of the Tensor being assigned to.
validateShape - Variable in class org.tensorflow.op.core.AssignVariableOp.Inputs: The validateShape attribute
validateShape(Boolean) - Method in class org.tensorflow.op.core.Assign.Options: Sets the validateShape option.
validateShape(Boolean) - Static method in class org.tensorflow.op.core.Assign: Sets the validateShape option.
validateShape(Boolean) - Method in class org.tensorflow.op.core.AssignVariableOp.Options: Sets the validateShape option.
validateShape(Boolean) - Static method in class org.tensorflow.op.core.AssignVariableOp: Sets the validateShape option.
validDetections() - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Gets validDetections.
validOutputs() - Method in class org.tensorflow.op.image.NonMaxSuppression: Gets validOutputs.
value - Variable in class org.tensorflow.op.core.Assign.Inputs: The value to be assigned to the variable.
value - Variable in class org.tensorflow.op.core.AssignAdd.Inputs: The value to be added to the variable.
value - Variable in class org.tensorflow.op.core.AssignAddVariableOp.Inputs: the value by which the variable will be incremented.
value - Variable in class org.tensorflow.op.core.AssignSub.Inputs: The value to be subtracted to the variable.
value - Variable in class org.tensorflow.op.core.AssignSubVariableOp.Inputs: the value by which the variable will be incremented.
value - Variable in class org.tensorflow.op.core.AssignVariableOp.Inputs: the value to set the new tensor to use.
value - Variable in class org.tensorflow.op.core.FileSystemSetConfiguration.Inputs: The value of the configuration option.
value - Variable in class org.tensorflow.op.core.Fill.Inputs: 0-D (scalar).
value - Variable in class org.tensorflow.op.core.GetSessionHandle.Inputs: The tensor to be stored.
value - Variable in class org.tensorflow.op.core.HostConst.Inputs: Attr value is the tensor to return.
value - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The value input
value - Variable in class org.tensorflow.op.core.Split.Inputs: The tensor to split.
value - Variable in class org.tensorflow.op.core.SplitV.Inputs: The tensor to split.
value - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The value input
value - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: The concatenated tensor to write to the TensorArray.
value - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: The concatenated tensor to write to the TensorArray.
value - Variable in class org.tensorflow.op.core.TensorArrayUnpack.Inputs: The value input
value - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: The tensor to write to the TensorArray.
value - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The value input
value - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The value input
value - Variable in class org.tensorflow.op.core.Unstack.Inputs: 1-D or higher, with axis dimension size equal to num.
value - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: 4-D with shape [batch, height, width, channels].
value - Variable in class org.tensorflow.op.nn.BiasAdd.Inputs: Any number of dimensions.
value - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: 4-D with shape [batch, height, width, channels].
value - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: 4-D with shape [batch, height, width, channels].
value - Variable in class org.tensorflow.op.random.experimental.StatelessShuffle.Inputs: The tensor to be shuffled.
value - Variable in class org.tensorflow.op.random.RandomShuffle.Inputs: The tensor to be shuffled.
value - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The value input
value() - Method in class org.tensorflow.op.core.DestroyTemporaryVariable: Gets value.
value() - Method in class org.tensorflow.op.core.GetSessionTensor: Gets value.
value() - Method in class org.tensorflow.op.core.ReadVariableOp: Gets value.
value() - Method in class org.tensorflow.op.core.TensorArrayConcat: Gets value.
value() - Method in class org.tensorflow.op.core.TensorArrayGather: Gets value.
value() - Method in class org.tensorflow.op.core.TensorArrayPack: Gets value.
value() - Method in class org.tensorflow.op.core.TensorArrayRead: Gets value.
value() - Method in class org.tensorflow.op.core.TensorMapLookup: Gets value.
value() - Method in class org.tensorflow.op.io.ReaderRead: Gets value.
value() - Method in class org.tensorflow.op.random.RngReadAndSkip: Gets value.
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BytesList
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CollectionDef.AnyList
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CollectionDef.BytesList
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CollectionDef.FloatList
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CollectionDef.Int64List
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CollectionDef.NodeList
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FloatList
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Int64List
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.MetricEntry
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.PairValue
VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary
VALUE_NOT_SET - Enum constant in enum org.tensorflow.proto.AttrValue.ValueCase
VALUE_NOT_SET - Enum constant in enum org.tensorflow.proto.profiler.Xplane.XStat.ValueCase
VALUE_NOT_SET - Enum constant in enum org.tensorflow.proto.Summary.Value.ValueCase
valueDtype - Variable in class org.tensorflow.op.core.AnonymousHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.AnonymousMutableHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.HashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.TensorMapErase.Inputs: The valueDtype attribute
valueDtype - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The valueDtype attribute
valueDtype - Variable in class org.tensorflow.op.core.TensorMapLookup.Inputs: The valueDtype attribute
valueIndex - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Column index that represents information of a line to get the table value values from.
valueIndex() - Method in class org.tensorflow.op.core.Merge: Gets valueIndex.
valueIndex() - Method in class org.tensorflow.op.core.RefMerge: Gets valueIndex.
valueOf(int) - Static method in enum org.tensorflow.proto.ApiDef.Visibility: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.AttrValue.ValueCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.BundleHeaderProto.Endianness: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.CollectionDef.KindCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.CommitId.KindCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.ControlFlowContextDef.CtxtCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.OptionalElementSpecCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DataService.DeploymentMode: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalAutotuneAlgorithmCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalCpuBudgetCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalEnabledCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalInitialParallelismCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalRamBudgetCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.DistributeOptions.OptionalNumDevicesCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalApplyDefaultOptimizationsCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterFusionCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterParallelizationCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalInjectPrefetchCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndBatchFusionCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndFilterFusionCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapFusionCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapParallelizationCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalNoopEliminationCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalParallelBatchCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalSeqInterleavePrefetchCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalShuffleAndRepeatFusionCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDatasetNameCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDeterministicCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalExternalStatePolicyCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSlackCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSymbolicCheckpointCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalWarmStartCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ServiceOptions.OptionalPinnedCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalMaxIntraOpParallelismCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalPrivateThreadpoolSizeCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.data.model.Model.NodeClass: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.DataClass: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.DataType: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.DebugEvent.WhatCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.EntryValue.KindCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.error.Code: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.Event.WhatCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.Feature.KindCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.FeatureConfiguration.ConfigCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.FullTypeDef.AttrCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.FullTypeId: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.GraphTransferInfo.Destination: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.LogMessage.Level: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.OpPerformanceData.OpPerformance.ExecutionTimeCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.OptimizerOptions.Level: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.profiler.Xplane.XEvent.DataCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.profiler.Xplane.XStat.ValueCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.RewriterConfig.CpuLayout: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.RewriterConfig.MemOptType: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.RewriterConfig.NumIterationsType: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.RewriterConfig.Toggle: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.RunOptions.TraceLevel: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.SessionLog.SessionStatus: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.Struct.StructuredValue.KindCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.Summary.Value.ValueCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.TensorDebugMode: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.TensorInfo.EncodingCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.TensorSliceProto.Extent.HasLengthCase: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.TestResults.BenchmarkType: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.VariableAggregation: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.VariableSynchronization: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.VerifierConfig.Toggle: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.WorkerHealth: Deprecated.
valueOf(int) - Static method in enum org.tensorflow.proto.WorkerShutdownMode: Deprecated.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.ApiDef.Visibility: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.BundleHeaderProto.Endianness: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.DataService.DeploymentMode: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.data.model.Model.NodeClass: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.DataClass: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.DataType: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.error.Code: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.FullTypeId: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.GraphTransferInfo.Destination: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.OptimizerOptions.Level: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.RewriterConfig.CpuLayout: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.RewriterConfig.MemOptType: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.RewriterConfig.NumIterationsType: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.RewriterConfig.Toggle: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.RunOptions.TraceLevel: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.SessionLog.SessionStatus: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.TensorDebugMode: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.TestResults.BenchmarkType: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.VariableAggregation: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.VariableSynchronization: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.VerifierConfig.Toggle: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.WorkerHealth: Returns the enum constant of this type with the specified name.
valueOf(Descriptors.EnumValueDescriptor) - Static method in enum org.tensorflow.proto.WorkerShutdownMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.DeviceSpec.DeviceType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.ExecutionEnvironment.Types: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.framework.activations.Activations: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.framework.initializers.VarianceScaling.Distribution: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.framework.initializers.VarianceScaling.Mode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.framework.losses.Reduction: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.framework.metrics.AUCCurve: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.framework.metrics.AUCSummationMethod: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.framework.metrics.MetricReduction: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.framework.op.sets.Sets.Operation: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.framework.optimizers.Optimizers: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.ApiDef.Visibility: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.AttrValue.ValueCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.BundleHeaderProto.Endianness: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.CollectionDef.KindCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.CommitId.KindCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.ControlFlowContextDef.CtxtCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.OptionalElementSpecCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DataService.DeploymentMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalAutotuneAlgorithmCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalCpuBudgetCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalEnabledCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalInitialParallelismCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalRamBudgetCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.DistributeOptions.OptionalNumDevicesCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalApplyDefaultOptimizationsCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterFusionCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterParallelizationCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalInjectPrefetchCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndBatchFusionCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndFilterFusionCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapFusionCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapParallelizationCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalNoopEliminationCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalParallelBatchCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalSeqInterleavePrefetchCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalShuffleAndRepeatFusionCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDatasetNameCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDeterministicCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalExternalStatePolicyCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSlackCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSymbolicCheckpointCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalWarmStartCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ServiceOptions.OptionalPinnedCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalMaxIntraOpParallelismCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalPrivateThreadpoolSizeCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.data.model.Model.NodeClass: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.DataClass: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.DataType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.DebugEvent.WhatCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.EntryValue.KindCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.error.Code: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.Event.WhatCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.Feature.KindCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.FeatureConfiguration.ConfigCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.FullTypeDef.AttrCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.FullTypeId: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.GraphTransferInfo.Destination: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.OpPerformanceData.OpPerformance.ExecutionTimeCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.OptimizerOptions.Level: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.profiler.Xplane.XEvent.DataCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.profiler.Xplane.XStat.ValueCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.RewriterConfig.CpuLayout: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.RewriterConfig.MemOptType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.RewriterConfig.NumIterationsType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.RewriterConfig.Toggle: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.RunOptions.TraceLevel: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.SessionLog.SessionStatus: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.Struct.StructuredValue.KindCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.Summary.Value.ValueCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.TensorDebugMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.TensorInfo.EncodingCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.TensorSliceProto.Extent.HasLengthCase: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.TestResults.BenchmarkType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.VariableAggregation: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.VariableSynchronization: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.VerifierConfig.Toggle: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.WorkerHealth: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.proto.WorkerShutdownMode: Returns the enum constant of this type with the specified name.
valueRange - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: Shape [2] Tensor of same dtype as values. values <= value_range[0] will be mapped to hist[0], values >= value_range[1] will be mapped to hist[-1].
valueRowids - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRows.Inputs: The valueRowids input
values - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: An any-dimensional tensor of values, which are associated with the respective keys.
values - Variable in class org.tensorflow.op.core.Concat.Inputs: List of N Tensors to concatenate.
values - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: List of tensors containing values for the corresponding field.
values - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: Numeric Tensor.
values - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: Values of type Tval.
values - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: Values to associate with keys.
values - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: Values to associate with keys.
values - Variable in class org.tensorflow.op.core.LowerBound.Inputs: 2-D Tensor with the same numbers of rows as sorted_search_values.
values - Variable in class org.tensorflow.op.core.MapStage.Inputs: a list of tensors dtypes A list of data types that inserted values should adhere to.
values - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: a list of tensors dtypes A list of data types that inserted values should adhere to.
values - Variable in class org.tensorflow.op.core.ParallelConcat.Inputs: Tensors to be concatenated.
values - Variable in class org.tensorflow.op.core.Stack.Inputs: Must be of same shape and type.
values - Variable in class org.tensorflow.op.core.Stage.Inputs: a list of tensors dtypes A list of data types that inserted values should adhere to.
values - Variable in class org.tensorflow.op.core.UpperBound.Inputs: 2-D Tensor with the same numbers of rows as sorted_search_values.
values - Variable in class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs: The values input
values - Variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs: SparseTensor values.
values - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: The N Tensors to concatenate.
values - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: 2D int Tensor.
values - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Tensor containing values of the sparse tensor to count.
values - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRows.Inputs: The values input
values - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: A 1D tensor representing the values of the ragged tensor.
values - Variable in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors.Inputs: The values input
values - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Tensor containing data to count.
values - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: 1D int Tensor.
values - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: 1-D.
values - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Tensor containing values of the sparse tensor to count.
values - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: 1-D.
values - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: 1-D.
values - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: 1-D. the values of the sparse tensor.
values - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 1-D tensor represents the values of the sparse tensor.
values - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: 1-D tensor represents the values of the sparse tensor.
values - Variable in class org.tensorflow.op.summary.HistogramSummary.Inputs: Any shape.
values - Variable in class org.tensorflow.op.summary.ScalarSummary.Inputs: Same shape as `tags.
values - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The values input
values - Variable in class org.tensorflow.op.tpu.ConvertToCooTensor.Inputs: The values input
values - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The values input
values() - Static method in enum org.tensorflow.DeviceSpec.DeviceType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.ExecutionEnvironment.Types: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.framework.activations.Activations: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.framework.initializers.VarianceScaling.Distribution: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.framework.initializers.VarianceScaling.Mode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.framework.losses.Reduction: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.framework.metrics.AUCCurve: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.framework.metrics.AUCSummationMethod: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.framework.metrics.MetricReduction: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.framework.op.sets.Sets.Operation: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.framework.optimizers.Optimizers: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class org.tensorflow.op.core.ApproxTopK: Gets values.
values() - Method in class org.tensorflow.op.core.BarrierTakeMany: Gets values.
values() - Method in class org.tensorflow.op.core.DecodeProto: Gets values.
values() - Method in class org.tensorflow.op.core.LookupTableExport: Gets values.
values() - Method in class org.tensorflow.op.core.LookupTableFind: Gets values.
values() - Method in class org.tensorflow.op.core.MapPeek: Gets values.
values() - Method in class org.tensorflow.op.core.MapUnstage: Gets values.
values() - Method in class org.tensorflow.op.core.MapUnstageNoKey: Gets values.
values() - Method in class org.tensorflow.op.core.OrderedMapPeek: Gets values.
values() - Method in class org.tensorflow.op.core.OrderedMapUnstage: Gets values.
values() - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Gets values.
values() - Method in class org.tensorflow.op.core.StagePeek: Gets values.
values() - Method in class org.tensorflow.op.core.TensorListGather: Gets values.
values() - Method in class org.tensorflow.op.core.Unstage: Gets values.
values() - Method in class org.tensorflow.op.io.ReaderReadUpTo: Gets values.
values() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: Gets values.
values() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: Gets values.
values() - Method in class org.tensorflow.op.nn.NthElement: Gets values.
values() - Method in class org.tensorflow.op.nn.TopK: Gets values.
values() - Method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: Gets values.
values() - Method in class org.tensorflow.op.strings.StringSplit: Gets values.
values() - Static method in enum org.tensorflow.proto.ApiDef.Visibility: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.AttrValue.ValueCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.BundleHeaderProto.Endianness: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.CollectionDef.KindCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.CommitId.KindCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.ConfigProto.Experimental.MlirBridgeRollout: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.ControlFlowContextDef.CtxtCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto.ErrorSource: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.Compression: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DataService.DataServiceMetadata.OptionalElementSpecCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DataService.DeploymentMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DataService.ProcessingModeDef.ShardingPolicy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutoShardPolicy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalAutotuneAlgorithmCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalCpuBudgetCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalEnabledCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalInitialParallelismCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.AutotuneOptions.OptionalRamBudgetCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.CardinalityOptions.ComputeLevel: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.DistributeOptions.OptionalNumDevicesCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.ExternalStatePolicy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalApplyDefaultOptimizationsCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterFusionCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalFilterParallelizationCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalInjectPrefetchCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndBatchFusionCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapAndFilterFusionCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapFusionCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalMapParallelizationCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalNoopEliminationCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalParallelBatchCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalSeqInterleavePrefetchCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.OptimizationOptions.OptionalShuffleAndRepeatFusionCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDatasetNameCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalDeterministicCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalExternalStatePolicyCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSlackCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalSymbolicCheckpointCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalWarmStartCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.ServiceOptions.OptionalPinnedCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalMaxIntraOpParallelismCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.DatasetOptions.ThreadingOptions.OptionalPrivateThreadpoolSizeCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.model.Model.AutotuneAlgorithm: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.data.model.Model.NodeClass: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.DataClass: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.DataType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.DebugEvent.WhatCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.EntryValue.KindCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.error.Code: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.Event.WhatCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.Feature.KindCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.FeatureConfiguration.ConfigCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.FullTypeDef.AttrCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.FullTypeId: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.GraphTransferInfo.Destination: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.OpPerformanceData.OpPerformance.ExecutionTimeCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph.OptimizationSource: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.OptimizerOptions.GlobalJitLevel: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.OptimizerOptions.Level: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.profiler.Xplane.XEvent.DataCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.profiler.Xplane.XStat.ValueCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.ProfilerOptions.ProfileOptions.DeviceType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.RewriterConfig.CpuLayout: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.RewriterConfig.MemOptType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.RewriterConfig.NumIterationsType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.RewriterConfig.Toggle: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.RunOptions.TraceLevel: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec.JitCompile: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.SaverDef.CheckpointFormatVersion: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.SessionLog.SessionStatus: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.Struct.StructuredValue.KindCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.Summary.Value.ValueCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.TensorDebugMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.TensorInfo.EncodingCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.TensorSliceProto.Extent.HasLengthCase: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.TestResults.BenchmarkType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.VariableAggregation: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.VariableSynchronization: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.VerifierConfig.Toggle: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.WorkerHealth: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.proto.WorkerShutdownMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in interface org.tensorflow.SparseTensor: Gets the sparse values.
VALUES_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.CondContextDef
VALUES_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WhileContextDef
VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.ListValue
VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.NamedTupleValue
VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Struct.TupleValue
VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ValuesDef
VALUES_OUTPUT_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FixedLenFeatureProto
VALUES_OUTPUT_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VarLenFeatureProto
VALUES_TENSOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorInfo.CooSparse
ValuesDef - Class in org.tensorflow.proto: Protocol buffer representing the values in ControlFlowContext.
ValuesDef.Builder - Class in org.tensorflow.proto: Protocol buffer representing the values in ControlFlowContext.
ValuesDefOrBuilder - Interface in org.tensorflow.proto
valueShape - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: The shape of each value.
valueShape - Variable in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors.Inputs: The valueShape attribute
valueShape - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The shape of each value.
valueShape - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: The valueShape attribute
valueShape(Shape) - Method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Options: Sets the valueShape option.
valueShape(Shape) - Static method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable: Sets the valueShape option.
valueShape(Shape) - Method in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors.Options: Sets the valueShape option.
valueShape(Shape) - Static method in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors: Sets the valueShape option.
valueShape(Shape) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the valueShape option.
valueShape(Shape) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the valueShape option.
valueShape(Shape) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options: Sets the valueShape option.
valueShape(Shape) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Sets the valueShape option.
var - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: The var input
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: The var input
var - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Should be from a Variable().
VAR_LEN_FEATURE - Enum constant in enum org.tensorflow.proto.FeatureConfiguration.ConfigCase
VAR_LEN_FEATURE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FeatureConfiguration
VAR_OFFSET_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SaveSliceInfoDef
VAR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SaveSliceInfoDef
varHandleOp(Class, Shape, VarHandleOp.Options...) - Method in class org.tensorflow.op.Ops: Creates a handle to a Variable resource.
VarHandleOp - Class in org.tensorflow.op.core: Creates a handle to a Variable resource.
VarHandleOp(Operation) - Constructor for class org.tensorflow.op.core.VarHandleOp
VarHandleOp.Inputs - Class in org.tensorflow.op.core
VarHandleOp.Options - Class in org.tensorflow.op.core: Optional attributes for VarHandleOp
variable(Shape, Class, Variable.Options...) - Method in class org.tensorflow.op.Ops: Holds state in the form of a tensor that persists across steps.
variable(Operand, Variable.Options...) - Method in class org.tensorflow.op.Ops: Factory method to create a new Variable with its initializer.
Variable<T> - Class in org.tensorflow.op.core: Holds state in the form of a tensor that persists across steps.
Variable(Operation) - Constructor for class org.tensorflow.op.core.Variable
VARIABLE - Enum constant in enum org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject.KindCase
VARIABLE_AGGREGATION_MEAN - Enum constant in enum org.tensorflow.proto.VariableAggregation: `MEAN`: Take the arithmetic mean ("average") of the updates across replicas.
VARIABLE_AGGREGATION_MEAN_VALUE - Static variable in enum org.tensorflow.proto.VariableAggregation: `MEAN`: Take the arithmetic mean ("average") of the updates across replicas.
VARIABLE_AGGREGATION_NONE - Enum constant in enum org.tensorflow.proto.VariableAggregation: `NONE`: This is the default, giving an error if you use a variable-update operation with multiple replicas.
VARIABLE_AGGREGATION_NONE_VALUE - Static variable in enum org.tensorflow.proto.VariableAggregation: `NONE`: This is the default, giving an error if you use a variable-update operation with multiple replicas.
VARIABLE_AGGREGATION_ONLY_FIRST_REPLICA - Enum constant in enum org.tensorflow.proto.VariableAggregation: `ONLY_FIRST_REPLICA`: This is for when every replica is performing the same update, but we only want to perform the update once.
VARIABLE_AGGREGATION_ONLY_FIRST_REPLICA_VALUE - Static variable in enum org.tensorflow.proto.VariableAggregation: `ONLY_FIRST_REPLICA`: This is for when every replica is performing the same update, but we only want to perform the update once.
VARIABLE_AGGREGATION_SUM - Enum constant in enum org.tensorflow.proto.VariableAggregation: `SUM`: Add the updates across replicas.
VARIABLE_AGGREGATION_SUM_VALUE - Static variable in enum org.tensorflow.proto.VariableAggregation: `SUM`: Add the updates across replicas.
VARIABLE_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
VARIABLE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VariableDef
VARIABLE_SPEC - Enum constant in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.VariableSpec
VARIABLE_SPEC_VALUE - Static variable in enum org.tensorflow.proto.Struct.TypeSpecProto.TypeSpecClass: tf.VariableSpec
VARIABLE_SYNCHRONIZATION_AUTO - Enum constant in enum org.tensorflow.proto.VariableSynchronization: `AUTO`: Indicates that the synchronization will be determined by the current `DistributionStrategy` (eg.
VARIABLE_SYNCHRONIZATION_AUTO_VALUE - Static variable in enum org.tensorflow.proto.VariableSynchronization: `AUTO`: Indicates that the synchronization will be determined by the current `DistributionStrategy` (eg.
VARIABLE_SYNCHRONIZATION_NONE - Enum constant in enum org.tensorflow.proto.VariableSynchronization: `NONE`: Indicates that there will only be one copy of the variable, so there is no need to sync.
VARIABLE_SYNCHRONIZATION_NONE_VALUE - Static variable in enum org.tensorflow.proto.VariableSynchronization: `NONE`: Indicates that there will only be one copy of the variable, so there is no need to sync.
VARIABLE_SYNCHRONIZATION_ON_READ - Enum constant in enum org.tensorflow.proto.VariableSynchronization: `ON_READ`: Indicates that the variable will be aggregated across devices when it is read (eg. when checkpointing or when evaluating an op that uses the variable).
VARIABLE_SYNCHRONIZATION_ON_READ_VALUE - Static variable in enum org.tensorflow.proto.VariableSynchronization: `ON_READ`: Indicates that the variable will be aggregated across devices when it is read (eg. when checkpointing or when evaluating an op that uses the variable).
VARIABLE_SYNCHRONIZATION_ON_WRITE - Enum constant in enum org.tensorflow.proto.VariableSynchronization: `ON_WRITE`: Indicates that the variable will be updated across devices every time it is written.
VARIABLE_SYNCHRONIZATION_ON_WRITE_VALUE - Static variable in enum org.tensorflow.proto.VariableSynchronization: `ON_WRITE`: Indicates that the variable will be updated across devices every time it is written.
VARIABLE_V2 - Static variable in class org.tensorflow.framework.optimizers.Optimizer
Variable.Inputs - Class in org.tensorflow.op.core
Variable.Options - Class in org.tensorflow.op.core: Optional attributes for Variable
VariableAggregation - Enum in org.tensorflow.proto: Indicates how a distributed variable will be aggregated.
VariableDef - Class in org.tensorflow.proto: Protocol buffer representing a Variable.
VariableDef.Builder - Class in org.tensorflow.proto: Protocol buffer representing a Variable.
VariableDefOrBuilder - Interface in org.tensorflow.proto
VariableProtos - Class in org.tensorflow.proto
variableShape(Operand) - Method in class org.tensorflow.op.Ops: Returns the shape of the variable pointed to by resource.
variableShape(Operand, Class) - Method in class org.tensorflow.op.Ops: Returns the shape of the variable pointed to by resource.
VariableShape<T> - Class in org.tensorflow.op.core: Returns the shape of the variable pointed to by resource.
VariableShape(Operation) - Constructor for class org.tensorflow.op.core.VariableShape
VariableShape.Inputs - Class in org.tensorflow.op.core
VariableSynchronization - Enum in org.tensorflow.proto: Indicates when a distributed variable will be synced.
variance - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 1D Tensor for population variance.
varianceEpsilon - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A small float number to avoid dividing by 0.
varianceEpsilon - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A small float number to avoid dividing by 0.
varianceEpsilon - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A small float number to avoid dividing by 0.
varianceEpsilon - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: A small float number to avoid dividing by 0.
varianceEpsilon(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the varianceEpsilon option.
varianceEpsilon(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the varianceEpsilon option.
VarianceScaling<T> - Class in org.tensorflow.framework.initializers: Initializer capable of adapting its scale to the shape of weights tensors.
VarianceScaling(double, VarianceScaling.Mode, VarianceScaling.Distribution, long) - Constructor for class org.tensorflow.framework.initializers.VarianceScaling: Creates a VarianceScaling Initializer
VarianceScaling(long) - Constructor for class org.tensorflow.framework.initializers.VarianceScaling: Creates a VarianceScaling Initializer
VarianceScaling.Distribution - Enum in org.tensorflow.framework.initializers: The random distribution to use when initializing the values.
VarianceScaling.Mode - Enum in org.tensorflow.framework.initializers: The mode to use for calculating the fan values.
VARIANT_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
VariantTensorDataProto - Class in org.tensorflow.proto: Protocol buffer representing the serialization format of DT_VARIANT tensors.
VariantTensorDataProto.Builder - Class in org.tensorflow.proto: Protocol buffer representing the serialization format of DT_VARIANT tensors.
VariantTensorDataProtoOrBuilder - Interface in org.tensorflow.proto
varIsInitializedOp(Operand) - Method in class org.tensorflow.op.Ops: Checks whether a resource handle-based variable has been initialized.
VarIsInitializedOp - Class in org.tensorflow.op.core: Checks whether a resource handle-based variable has been initialized.
VarIsInitializedOp(Operation) - Constructor for class org.tensorflow.op.core.VarIsInitializedOp
VarIsInitializedOp.Inputs - Class in org.tensorflow.op.core
VarLenFeatureProto - Class in org.tensorflow.proto: Protobuf type tensorflow.VarLenFeatureProto
VarLenFeatureProto.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.VarLenFeatureProto
VarLenFeatureProtoOrBuilder - Interface in org.tensorflow.proto
varName - Variable in class org.tensorflow.op.core.DestroyTemporaryVariable.Inputs: Name of the temporary variable, usually the name of the matching 'TemporaryVariable' op.
varName - Variable in class org.tensorflow.op.core.TemporaryVariable.Inputs: Overrides the name used for the temporary variable resource.
varName(String) - Method in class org.tensorflow.op.core.TemporaryVariable.Options: Sets the varName option.
varName(String) - Static method in class org.tensorflow.op.core.TemporaryVariable: Sets the varName option.
vars - Variable in class org.tensorflow.op.tpu.TPUReshardVariables.Inputs: The vars input
vectorOf(boolean...) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor for storing a vector of booleans.
vectorOf(byte...) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor for storing a vector of bytes.
vectorOf(double...) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor for storing a vector of doubles.
vectorOf(float...) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor for storing a vector of floats.
vectorOf(float...) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor for storing a vector of floats.
vectorOf(float...) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor for storing a vector of floats.
vectorOf(int...) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor for storing a vector of ints.
vectorOf(long...) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor for storing a vector of longs.
vectorOf(short...) - Static method in interface org.tensorflow.types.TUint16: Allocates a new tensor for storing a vector of shorts.
vectorOf(String...) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor for storing a vector of strings.
vectorOf(Scope, boolean[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of boolean elements.
vectorOf(Scope, byte[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of byte elements.
vectorOf(Scope, double[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of double elements.
vectorOf(Scope, float[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of float elements.
vectorOf(Scope, int[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of int elements.
vectorOf(Scope, long[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of long elements.
vectorOf(Scope, String[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of String elements.
vectorOf(Scope, Charset, String[]) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements, using the given charset.
velocities - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: Value of velocities used in the ADAM optimization algorithm.
velocities() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Gets velocities.
velocity - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The velocity input
velocity - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The velocity input
velocity - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs: The velocity input
VENDOR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
VERIFICATION_TIMEOUT_IN_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.VerifierConfig
VerifierConfig - Class in org.tensorflow.proto: The config for graph verifiers.
VerifierConfig.Builder - Class in org.tensorflow.proto: The config for graph verifiers.
VerifierConfig.Toggle - Enum in org.tensorflow.proto: Protobuf enum tensorflow.VerifierConfig.Toggle
VerifierConfigOrBuilder - Interface in org.tensorflow.proto
VerifierConfigProtos - Class in org.tensorflow.proto
version - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The version attribute
version() - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
version() - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle
version() - Static method in class org.tensorflow.TensorFlow: Returns the version of the underlying TensorFlow runtime.
version(int) - Method in class org.tensorflow.internal.c_api.TFE_CustomDevice
version(int) - Method in class org.tensorflow.internal.c_api.TFE_CustomDeviceTensorHandle
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BundleHeaderProto
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.Dataset.CompressedElement
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.FingerprintDef
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDef
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.OpDeprecation
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.PlatformInfo
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SaverDef
VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SessionMetadata
VERSION_NUMBER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.TensorProto
VersionDef - Class in org.tensorflow.proto: Version information for a piece of serialized data There are different types of versions for each type of data (GraphDef, etc.), but they all have the same common shape described here.
VersionDef.Builder - Class in org.tensorflow.proto: Version information for a piece of serialized data There are different types of versions for each type of data (GraphDef, etc.), but they all have the same common shape described here.
VersionDefOrBuilder - Interface in org.tensorflow.proto
VERSIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GraphDef
VERSIONS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SavedTensorSliceMeta
VersionsProtos - Class in org.tensorflow.proto
vhat - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Should be from a Variable().
view() - Method in class org.tensorflow.internal.c_api.TF_TString_Union
view(TF_TString_View) - Method in class org.tensorflow.internal.c_api.TF_TString_Union
VIRTUAL_DEVICES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions.Experimental
VISIBILITY_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ApiDef
VISIBLE - Enum constant in enum org.tensorflow.proto.ApiDef.Visibility: Publicly visible in the API.
VISIBLE_DEVICE_LIST_FIELD_NUMBER - Static variable in class org.tensorflow.proto.GPUOptions
VISIBLE_VALUE - Static variable in enum org.tensorflow.proto.ApiDef.Visibility: Publicly visible in the API.
vMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized variance.
vMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized variance.
vocabCount - Variable in class org.tensorflow.op.train.NegTrain.Inputs: Count of words in the vocabulary.
vocabFile - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: Each valid line in this file (which should have a CSV-like format) corresponds to a valid word ID.
vocabFile(String) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the vocabFile option.
vocabFile(String) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the vocabFile option.
vocabFreq() - Method in class org.tensorflow.op.core.Skipgram: Gets vocabFreq.
vocabSize - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Number of elements of the file, use -1 if unknown.
vocabSize(Long) - Method in class org.tensorflow.op.core.InitializeTableFromTextFile.Options: Sets the vocabSize option.
vocabSize(Long) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile: Sets the vocabSize option.
vocabWord() - Method in class org.tensorflow.op.core.Skipgram: Gets vocabWord.

W

w - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The weight matrix.
w - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The weight matrix.
w - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The weight matrix.
w - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The weight matrix.
WAIT_FOR_COORDINATOR - Enum constant in enum org.tensorflow.proto.WorkerShutdownMode: WAIT_FOR_COORDINATOR = 2;
WAIT_FOR_COORDINATOR_VALUE - Static variable in enum org.tensorflow.proto.WorkerShutdownMode: WAIT_FOR_COORDINATOR = 2;
waitForIncomplete - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: The waitForIncomplete attribute
waitForIncomplete(Boolean) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options: Sets the waitForIncomplete option.
waitForIncomplete(Boolean) - Static method in class org.tensorflow.op.core.BarrierTakeMany: Sets the waitForIncomplete option.
WALL_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.BenchmarkEntry
WALL_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DebugEvent
WALL_TIME_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Event
WARM_START - Enum constant in enum org.tensorflow.proto.data.DatasetOptions.Options.OptionalWarmStartCase
WARM_START_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.DatasetOptions.Options
WARN - Enum constant in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Copy the tensor to the right device but log a warning.
WARN - Enum constant in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

WARN = 30;
WARN_VALUE - Static variable in enum org.tensorflow.proto.LogMessage.Level: Deprecated.

WARN = 30;
WARNINGS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.profiler.Xplane.XSpace
WATCHDOG_CONFIG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WorkerHeartbeatRequest
WatchdogConfig - Class in org.tensorflow.proto: Protobuf type tensorflow.WatchdogConfig
WatchdogConfig.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.WatchdogConfig
WatchdogConfigOrBuilder - Interface in org.tensorflow.proto
wC - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The wC input
wC - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The wC input
wcf - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The weight matrix for forget gate peephole connection.
wcf - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The weight matrix for forget gate peephole connection.
wcf - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The weight matrix for forget gate peephole connection.
wcf - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The weight matrix for forget gate peephole connection.
wcfGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets wcfGrad.
wcfGrad() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets wcfGrad.
wci - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The weight matrix for input gate peephole connection.
wci - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The weight matrix for input gate peephole connection.
wci - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The weight matrix for input gate peephole connection.
wci - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The weight matrix for input gate peephole connection.
wciGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets wciGrad.
wciGrad() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets wciGrad.
wco - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The weight matrix for output gate peephole connection.
wco - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The weight matrix for output gate peephole connection.
wco - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The weight matrix for output gate peephole connection.
wco - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The weight matrix for output gate peephole connection.
wcoGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets wcoGrad.
wcoGrad() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets wcoGrad.
WeakPointerScope - Class in org.tensorflow.internal: A minimalist pointer scope only keeping weak references to its elements.
WeakPointerScope() - Constructor for class org.tensorflow.internal.WeakPointerScope
WEIGHTED_MEAN - Enum constant in enum org.tensorflow.framework.metrics.MetricReduction: Scalar sum of weighted values divided by sum of weights.
WeightedFlatMapDataset - Class in org.tensorflow.op.data: The WeightedFlatMapDataset operation
WeightedFlatMapDataset(Operation) - Constructor for class org.tensorflow.op.data.WeightedFlatMapDataset
WeightedFlatMapDataset.Inputs - Class in org.tensorflow.op.data
WeightedFlatMapDataset.Options - Class in org.tensorflow.op.data: Optional attributes for WeightedFlatMapDataset
weights - Variable in class org.tensorflow.op.data.WeightedFlatMapDataset.Inputs: The weights input
weights - Variable in class org.tensorflow.op.math.Bincount.Inputs: is an int32, int64, float32, or float64 Tensor with the same shape as arr, or a length-0 Tensor, in which case it acts as all weights equal to 1.
weights - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: is an int32, int64, float32, or float64 Tensor with the same shape as arr, or a length-0 Tensor, in which case it acts as all weights equal to 1.
weights - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The weights input
weights - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: is an int32, int64, float32, or float64 Tensor with the same shape as input, or a length-0 Tensor, in which case it acts as all weights equal to 1.
weights - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: A Tensor of the same shape as indices containing per-index weight values.
weights - Variable in class org.tensorflow.op.sparse.ConvertToListOfSparseCoreCooTensors.Inputs: The weights input
weights - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: A Tensor of the same shape as indices containing per-index weight values.
weights - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: is an int32, int64, float32, or float64 Tensor with the same shape as input, or a length-0 Tensor, in which case it acts as all weights equal to 1.
weights - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: A Tensor of the same shape as indices containing per-index weight values.
weights - Variable in class org.tensorflow.op.tpu.ConvertToCooTensor.Inputs: The weights input
weights - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: Value of weights used in the MDL Adagrad Light optimization algorithm.
weights - Variable in class org.tensorflow.op.train.SdcaShrinkL1.Inputs: a list of vectors where each value is the weight associated with a feature group.
weights() - Method in class org.tensorflow.op.nn.ComputeAccidentalHits: Gets weights.
weights() - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Gets weights.
weights() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Gets weights.
wGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets wGrad.
WHAT_NOT_SET - Enum constant in enum org.tensorflow.proto.DebugEvent.WhatCase
WHAT_NOT_SET - Enum constant in enum org.tensorflow.proto.Event.WhatCase
where(Operand) - Method in class org.tensorflow.op.Ops: Returns locations of nonzero / true values in a tensor.
Where - Class in org.tensorflow.op.core: Returns locations of nonzero / true values in a tensor.
Where(Operation) - Constructor for class org.tensorflow.op.core.Where
Where.Inputs - Class in org.tensorflow.op.core
While - Interface in org.tensorflow.op.core: output = input; While (Cond(output)) { output = Body(output) }
WHILE_CTXT - Enum constant in enum org.tensorflow.proto.ControlFlowContextDef.CtxtCase
WHILE_CTXT_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ControlFlowContextDef
While.Options - Class in org.tensorflow.op.core: Optional attributes for While
WhileContextDef - Class in org.tensorflow.proto: Protocol buffer representing a WhileContext object.
WhileContextDef.Builder - Class in org.tensorflow.proto: Protocol buffer representing a WhileContext object.
WhileContextDefOrBuilder - Interface in org.tensorflow.proto
whileLoop(Output[], Graph.WhileSubgraphBuilder, Graph.WhileSubgraphBuilder, String) - Method in class org.tensorflow.Graph: Builds a while loop.
whileOp(Iterable, ConcreteFunction, ConcreteFunction, While.Options...) - Method in class org.tensorflow.op.Ops: output = input; While (Cond(output)) { output = Body(output) }
wholeFileReader(WholeFileReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the entire contents of a file as a value.
WholeFileReader - Class in org.tensorflow.op.io: A Reader that outputs the entire contents of a file as a value.
WholeFileReader(Operation) - Constructor for class org.tensorflow.op.io.WholeFileReader
WholeFileReader.Inputs - Class in org.tensorflow.op.io
WholeFileReader.Options - Class in org.tensorflow.op.io: Optional attributes for WholeFileReader
width - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: Pad pre-decimal numbers to this width.
width(Long) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the width option.
width(Long) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the width option.
WIDTH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.Summary.Image
wIn - Variable in class org.tensorflow.op.train.NegTrain.Inputs: input word embedding.
windowDataset(Operand, Operand, Operand, Operand, Operand, List, List, WindowDataset.Options...) - Method in class org.tensorflow.op.DataOps: Combines (nests of) input elements into a dataset of (nests of) windows.
WindowDataset - Class in org.tensorflow.op.data: Combines (nests of) input elements into a dataset of (nests of) windows.
WindowDataset(Operation) - Constructor for class org.tensorflow.op.data.WindowDataset
WindowDataset.Inputs - Class in org.tensorflow.op.data
WindowDataset.Options - Class in org.tensorflow.op.data: Optional attributes for WindowDataset
windowOp(Iterable, List, List) - Method in class org.tensorflow.op.DataOps: The WindowOp operation
WindowOp - Class in org.tensorflow.op.data: The WindowOp operation
WindowOp(Operation) - Constructor for class org.tensorflow.op.data.WindowOp
WindowOp.Inputs - Class in org.tensorflow.op.data
windowShift - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: A scalar representing the steps moving the sliding window forward in one iteration.
windowShift - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: A scalar representing the steps moving the sliding window forward in one iteration.
windowSize - Variable in class org.tensorflow.op.audio.AudioSpectrogram.Inputs: How wide the input window is in samples.
windowSize - Variable in class org.tensorflow.op.core.Skipgram.Inputs: The number of words to predict to the left and right of the target.
windowSize - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: A scalar representing the number of elements in the sliding window.
windowSize - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: A scalar representing the number of elements in the sliding window.
windowSize(Long) - Method in class org.tensorflow.op.core.Skipgram.Options: Sets the windowSize option.
windowSize(Long) - Static method in class org.tensorflow.op.core.Skipgram: Sets the windowSize option.
windowSizeFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The windowSizeFuncOtherArguments input
windowSizeFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The windowSizeFuncOtherArguments input
windowStride - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: A scalar representing the stride of the input elements of the sliding window.
windowStride - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: A scalar representing the stride of the input elements of the sliding window.
windowStrides - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The stride of the sliding window for each spatial dimension of lhs.
windowStrides - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The stride of the sliding window for each spatial dimension of lhs.
windowStrides(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the windowStrides option.
windowStrides(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the windowStrides option.
windowStrides(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the windowStrides option.
windowStrides(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the windowStrides option.
windowStrides(List) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the windowStrides option.
windowStrides(List) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the windowStrides option.
windowStrides(List) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the windowStrides option.
windowStrides(List) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the windowStrides option.
withConfigProto(ConfigProto) - Method in class org.tensorflow.SavedModelBundle.Loader: Set configuration of the Session object created when loading the model.
withControlDependencies(Iterable) - Method in class org.tensorflow.framework.op.FrameworkOps: Returns an API that adds operations to the graph with the provided control dependencies.
withControlDependencies(Iterable) - Method in class org.tensorflow.op.NativeScope
withControlDependencies(Iterable) - Method in class org.tensorflow.op.Ops: Returns an API that adds operations to the graph with the provided control dependencies.
withControlDependencies(Iterable) - Method in interface org.tensorflow.op.Scope: Returns a new scope where added operations will have the provided control dependencies.
withControlDependencies(Op...) - Method in class org.tensorflow.op.Ops: Returns an API that adds operations to the graph with the provided control dependencies.
withControlDependencyOps(Iterable) - Method in class org.tensorflow.op.NativeScope
withControlDependencyOps(Iterable) - Method in class org.tensorflow.op.Ops: Returns an API that adds operations to the graph with the provided control dependencies.
withControlDependencyOps(Iterable) - Method in class org.tensorflow.op.OpScope
withControlDependencyOps(Iterable) - Method in interface org.tensorflow.op.Scope: Returns a new scope where added operations will have the provided control dependencies.
withControlDependencyOps(Operation...) - Method in class org.tensorflow.op.Ops: Returns an API that adds operations to the graph with the provided control dependencies.
withDeallocator() - Method in class org.tensorflow.internal.c_api.AbstractTF_Function
withDeallocator() - Method in class org.tensorflow.internal.c_api.AbstractTF_Tensor: Registers a deallocator and returns this.
withDeallocator() - Method in class org.tensorflow.internal.c_api.AbstractTFE_TensorHandle: Registers a deallocator and returns this.
withDevice(DeviceSpec) - Method in class org.tensorflow.framework.op.FrameworkOps: Returns an API that places the created operations on the device(s) matching the provided spec.
withDevice(DeviceSpec) - Method in class org.tensorflow.op.NativeScope
withDevice(DeviceSpec) - Method in class org.tensorflow.op.Ops: Returns an API that places the created operations on the device(s) matching the provided spec.
withDevice(DeviceSpec) - Method in class org.tensorflow.op.OpScope
withDevice(DeviceSpec) - Method in interface org.tensorflow.op.Scope: Return a new scope that uses the provided device specification for an op.
withFunction(SessionFunction) - Method in class org.tensorflow.SavedModelBundle.Exporter: Save a function of this model.
withFunctions(SessionFunction...) - Method in class org.tensorflow.SavedModelBundle.Exporter: Save multiple functions.
withInitScope() - Method in class org.tensorflow.framework.op.FrameworkOps: Returns an FrameworkOps that builds init operations.
withInitScope() - Method in class org.tensorflow.op.NativeScope
withInitScope() - Method in class org.tensorflow.op.Ops: Returns an API that builds init operations.
withInitScope() - Method in class org.tensorflow.op.OpScope
withInitScope() - Method in interface org.tensorflow.op.Scope: Get an extension of this scope that generates initialization ops.
withName(String) - Method in class org.tensorflow.framework.op.FrameworkOps: Returns an API that uses the provided name for an op.
withName(String) - Method in class org.tensorflow.op.NativeScope
withName(String) - Method in class org.tensorflow.op.Ops: Returns an API that uses the provided name for an op.
withName(String) - Method in class org.tensorflow.op.OpScope
withName(String) - Method in interface org.tensorflow.op.Scope: Return a new scope that uses the provided name for an op.
withNameAsSubScope(String) - Method in class org.tensorflow.op.NativeScope
withNameAsSubScope(String) - Method in class org.tensorflow.op.OpScope
withNameAsSubScope(String) - Method in interface org.tensorflow.op.Scope: Returns a new scope where added operations will be prefixed by this scope's op name (set by Scope.withName(String)), or the given default if it is unset.
withNewSession(Session) - Method in class org.tensorflow.SessionFunction: Get a new function with the same signature, but backed by a new session.
withRunOptions(RunOptions) - Method in class org.tensorflow.SavedModelBundle.Loader: Sets options to use when executing model initialization operations.
withSession(Session) - Method in class org.tensorflow.SavedModelBundle.Exporter: Set the session to export, without adding any signatures.
withSignature(Signature) - Method in class org.tensorflow.SavedModelBundle.Exporter: Add a signature to the model.
withSignatures(Signature...) - Method in class org.tensorflow.SavedModelBundle.Exporter: Add multiple signatures to the model.
withSubScope(String) - Method in class org.tensorflow.framework.op.FrameworkOps: Returns an API that builds operations with the provided name prefix.
withSubScope(String) - Method in class org.tensorflow.op.NativeScope
withSubScope(String) - Method in class org.tensorflow.op.Ops: Returns an API that builds operations with the provided name prefix.
withSubScope(String) - Method in class org.tensorflow.op.OpScope
withSubScope(String) - Method in interface org.tensorflow.op.Scope: Returns a new scope where added operations will have the provided name prefix.
withTags(String...) - Method in class org.tensorflow.SavedModelBundle.Exporter: Sets the set of tags that identify the specific graph in the saved model to save.
withTags(String...) - Method in class org.tensorflow.SavedModelBundle.Loader: Sets the set of tags that identify the specific graph in the saved model to load.
wordsPerEpoch() - Method in class org.tensorflow.op.core.Skipgram: Gets wordsPerEpoch.
WORK_DIR_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
WORK_FINISHED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ReaderBaseState
WORK_STARTED_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ReaderBaseState
WORKER_ADDRESS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
WORKER_ADDRESSES_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
WORKER_LOG_FIELD_NUMBER - Static variable in class org.tensorflow.proto.WorkerHeartbeatResponse
WORKER_MAX_CONCURRENT_SNAPSHOTS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
WORKER_TAGS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
WORKER_TIMEOUT_MS_FIELD_NUMBER - Static variable in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
WorkerHealth - Enum in org.tensorflow.proto: Current health status of a worker.
workerHeartbeat(Operand) - Method in class org.tensorflow.op.TpuOps: Worker heartbeat op.
WorkerHeartbeat - Class in org.tensorflow.op.tpu: Worker heartbeat op.
WorkerHeartbeat(Operation) - Constructor for class org.tensorflow.op.tpu.WorkerHeartbeat
WorkerHeartbeat.Inputs - Class in org.tensorflow.op.tpu
WorkerHeartbeatRequest - Class in org.tensorflow.proto: Protobuf type tensorflow.WorkerHeartbeatRequest
WorkerHeartbeatRequest.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.WorkerHeartbeatRequest
WorkerHeartbeatRequestOrBuilder - Interface in org.tensorflow.proto
WorkerHeartbeatResponse - Class in org.tensorflow.proto: Protobuf type tensorflow.WorkerHeartbeatResponse
WorkerHeartbeatResponse.Builder - Class in org.tensorflow.proto: Protobuf type tensorflow.WorkerHeartbeatResponse
WorkerHeartbeatResponseOrBuilder - Interface in org.tensorflow.proto
WorkerShutdownMode - Enum in org.tensorflow.proto: Indicates the behavior of the worker when an internal error or shutdown signal is received.
wOut - Variable in class org.tensorflow.op.train.NegTrain.Inputs: output word embedding.
wrapDatasetVariant(Operand) - Method in class org.tensorflow.op.DataOps: The WrapDatasetVariant operation
WrapDatasetVariant - Class in org.tensorflow.op.data: The WrapDatasetVariant operation
WrapDatasetVariant(Operation) - Constructor for class org.tensorflow.op.data.WrapDatasetVariant
WrapDatasetVariant.Inputs - Class in org.tensorflow.op.data
writeAudioSummary(Operand, Operand, Operand, Operand, Operand, WriteAudioSummary.Options...) - Method in class org.tensorflow.op.SummaryOps: Writes an audio summary.
WriteAudioSummary - Class in org.tensorflow.op.summary: Writes an audio summary.
WriteAudioSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteAudioSummary
WriteAudioSummary.Inputs - Class in org.tensorflow.op.summary
WriteAudioSummary.Options - Class in org.tensorflow.op.summary: Optional attributes for WriteAudioSummary
writeFile(Operand, Operand) - Method in class org.tensorflow.op.IoOps: Writes contents to the file at input filename.
WriteFile - Class in org.tensorflow.op.io: Writes contents to the file at input filename.
WriteFile(Operation) - Constructor for class org.tensorflow.op.io.WriteFile
WriteFile.Inputs - Class in org.tensorflow.op.io
writeGraphSummary(Operand, Operand, Operand) - Method in class org.tensorflow.op.SummaryOps: Writes a graph summary.
WriteGraphSummary - Class in org.tensorflow.op.summary: Writes a graph summary.
WriteGraphSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteGraphSummary
WriteGraphSummary.Inputs - Class in org.tensorflow.op.summary
writeHistogramSummary(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SummaryOps: Writes a histogram summary.
WriteHistogramSummary - Class in org.tensorflow.op.summary: Writes a histogram summary.
WriteHistogramSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteHistogramSummary
WriteHistogramSummary.Inputs - Class in org.tensorflow.op.summary
writeImageSummary(Operand, Operand, Operand, Operand, Operand, WriteImageSummary.Options...) - Method in class org.tensorflow.op.SummaryOps: Writes an image summary.
WriteImageSummary - Class in org.tensorflow.op.summary: Writes an image summary.
WriteImageSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteImageSummary
WriteImageSummary.Inputs - Class in org.tensorflow.op.summary
WriteImageSummary.Options - Class in org.tensorflow.op.summary: Optional attributes for WriteImageSummary
writer - Variable in class org.tensorflow.op.summary.CloseSummaryWriter.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.FlushSummaryWriter.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.ImportEvent.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteGraphSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteRawProtoSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The writer input
writer() - Method in class org.tensorflow.op.summary.SummaryWriter: Gets writer.
WRITER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.SourceMetadata
writeRawProtoSummary(Operand, Operand, Operand) - Method in class org.tensorflow.op.SummaryOps: Writes a serialized proto summary.
WriteRawProtoSummary - Class in org.tensorflow.op.summary: Writes a serialized proto summary.
WriteRawProtoSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteRawProtoSummary
WriteRawProtoSummary.Inputs - Class in org.tensorflow.op.summary
writerPrefix - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The writerPrefix attribute
writerPrefix(String) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the writerPrefix option.
writerPrefix(String) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the writerPrefix option.
writeScalarSummary(Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SummaryOps: Writes a scalar summary.
WriteScalarSummary - Class in org.tensorflow.op.summary: Writes a scalar summary.
WriteScalarSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteScalarSummary
WriteScalarSummary.Inputs - Class in org.tensorflow.op.summary
writeSummary(Operand, Operand, Operand, Operand, Operand) - Method in class org.tensorflow.op.SummaryOps: Writes a tensor summary.
WriteSummary - Class in org.tensorflow.op.summary: Writes a tensor summary.
WriteSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteSummary
WriteSummary.Inputs - Class in org.tensorflow.op.summary
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.AllocationDescription
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.AllocationRecord
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.AllocatorMemoryUsed
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ApiDef.Arg
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ApiDef.Attr
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ApiDef.Endpoint
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ApiDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ApiDefs
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.AssetFileDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.AttrValue.ListValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.AttrValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.AutoParallelOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.AvailableDeviceInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.BenchmarkEntries
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.BenchmarkEntry
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.BfcMemoryMap.BinSummary
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.BfcMemoryMap.MemAllocatorStats
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.BfcMemoryMap.MemChunk
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.BfcMemoryMap.MemoryDump
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.BfcMemoryMap.SnapShot
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.BuildConfiguration
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.BundleEntryProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.BundleHeaderProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.BytesList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CallableOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ClusterDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ClusterDeviceFilters
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CodeLocation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CollectionDef.AnyList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CollectionDef.BytesList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CollectionDef.FloatList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CollectionDef.Int64List
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CollectionDef.NodeList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CollectionDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CommitId
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CompositeTensorVariant.CompositeTensorVariantMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CondContextDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ConfigProto.Experimental
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ConfigProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ControlFlowContextDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinatedJob
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CoordinationConfig.CoordinationServiceConfig
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceInputsNeeded
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleData
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult.HandleShapeAndType
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.core.CppShapeInference.CppShapeInferenceResult
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.core.platform.CorePlatformPayloads.ErrorSourceProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CostGraphDef.AggregatedCost
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CostGraphDef.Node.InputInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CostGraphDef.Node.OutputInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CostGraphDef.Node
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CostGraphDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.CPUInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DataService.CrossTrainerCacheOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DataService.DataServiceConfig
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DataService.DataServiceMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DataService.ProcessingModeDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.Dataset.CompressedComponentMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.Dataset.CompressedElement
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.Dataset.UncompressedElement
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DatasetMetadata.Metadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DatasetOptions.AutotuneOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DatasetOptions.CardinalityOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DatasetOptions.DistributeOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DatasetOptions.OptimizationOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DatasetOptions.Options
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DatasetOptions.ServiceOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.DatasetOptions.ThreadingOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.DispatcherConfig
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.ServiceConfig.WorkerConfig
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.Snapshot.DistributedSnapshotMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotMetadataRecord
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotRecord
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.Snapshot.SnapshotTensorMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.experimental.Snapshot.TensorMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node.Parameter
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.Node
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.model.Model.ModelProto.OptimizationParams
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.data.model.Model.ModelProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DebugEvent
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DebuggedDevice
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DebuggedGraph
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DebuggedSourceFile
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DebuggedSourceFiles
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DebugMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DebugOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DebugTensorWatch
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DeviceAttributes
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DeviceLocality
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DevicePropertiesProtos.DeviceProperties
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DevicePropertiesProtos.NamedDevice
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.DeviceStepStats
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadContainer
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.GrpcPayloadsLost
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.distributed_runtime.DistributedRuntimePayloads.WorkerPossiblyRestarted
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.eager.RemoteTensorHandle
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.eager.ResourceDtypeAndShape
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.EntryValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Event
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Example
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ExampleParserConfiguration
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Execution
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Feature
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.FeatureConfiguration
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.FeatureList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.FeatureLists
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Features
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.FingerprintDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.FixedLenFeatureProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.FloatList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.FullTypeDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.FunctionDef.ArgAttrs
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.FunctionDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.FunctionDefLibrary
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GPUInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GPUOptions.Experimental.StreamMergeOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GPUOptions.Experimental.VirtualDevices
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GPUOptions.Experimental
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GPUOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GradientDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphDebugInfo.FileLineCol
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphDebugInfo.StackTrace
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphDebugInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphExecutionTrace
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphOpCreation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphTransferConstNodeInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphTransferGraphInputNodeInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphTransferGraphOutputNodeInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphTransferInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphTransferNodeInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphTransferNodeInput
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphTransferNodeInputInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.GraphTransferNodeOutputInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.HistogramProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Int64List
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.InterconnectLink
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.JobDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.JobDeviceFilters
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.KernelDef.AttrConstraint
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.KernelDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.KernelList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.LocalLinks
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.LogMessage: Deprecated.
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MachineConfiguration
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectory
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MemmappedFileSystem.MemmappedFileSystemDirectoryElement
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MemoryInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MemoryLogRawAllocation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MemoryLogRawDeallocation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MemoryLogStep
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MemoryLogTensorAllocation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MemoryLogTensorDeallocation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MemoryLogTensorOutput
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MemoryStats
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MetaGraphDef.MetaInfoDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MetaGraphDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.MetricEntry
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.NameAttrList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.NamedTensorProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.NodeDef.ExperimentalDebugInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.NodeDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.NodeExecStats
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.NodeOutput
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpDef.ArgDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpDef.AttrDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpDeprecation
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpPerformanceData.LogNormalDistribution
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpPerformanceData.NormalDistribution
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo.TensorProperties
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpPerformanceData.OpInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance.OpMemory
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformance
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpPerformanceData.OpPerformanceList
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OpPerformanceData.SessionInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OptimizedFunctionGraphOuterClass.OptimizedFunctionGraph
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.OptimizerOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.PlatformInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.Xplane.XEvent
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.Xplane.XEventMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.Xplane.XLine
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.Xplane.XPlane
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.Xplane.XSpace
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.Xplane.XStat
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.profiler.Xplane.XStatMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ProfilerOptions.ProfileOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ProfilerOptions.RemoteProfilerSessionManagerOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.QueueRunnerDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ReaderBaseState
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.RegisteredGradient
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.RequestedExitCode
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ResourceHandleProto.DtypeAndShape
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ResourceHandleProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.RewriterConfig.CustomGraphOptimizer
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.RewriterConfig
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.RpcOptions.RPCOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.RunConfiguration
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.RunMetadata.FunctionGraphs
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.RunMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.RunOptions.Experimental.RunHandlerPoolOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.RunOptions.Experimental
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.RunOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedModel
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.CapturedTensor
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.FunctionSpec
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SaveableObject
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedAsset
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedBareConcreteFunction
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConcreteFunction
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedConstant
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedFunction
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObject
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedObjectGraph
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedResource
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedUserObject
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedObjectGraphOuterClass.SavedVariable
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedSlice
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedSliceMeta
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedTensorSliceMeta
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SavedTensorSlices
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SaverDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SaveSliceInfoDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ScopedAllocatorOptions
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SequenceExample
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SerializedDType
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ServerDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SessionLog
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SessionMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SignatureDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SourceFile
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SourceMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.StackFrameWithId
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.StatusProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.StepStats
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Struct.BoundedTensorSpecProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Struct.DictValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Struct.ListValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Struct.NamedTupleValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Struct.NoneValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Struct.PairValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Struct.StructuredValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Struct.TensorSpecProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Struct.TupleValue
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Struct.TypeSpecProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Summary.Audio
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Summary.Image
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Summary.Value
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.Summary
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SummaryDescription
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SummaryMetadata.PluginData
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.SummaryMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TaggedRunMetadata
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TaskDeviceFilters
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TensorConnection
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TensorDescription
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TensorInfo.CompositeTensor
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TensorInfo.CooSparse
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TensorInfo
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TensorProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TensorShapeProto.Dim
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TensorShapeProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TensorSliceProto.Extent
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TensorSliceProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TestResults
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ThreadPoolOptionProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.RegisteredSaver
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.ObjectReference
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SerializedTensor
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject.SlotVariableReference
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph.TrackableObject
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TrackableObjectGraphOuterClass.TrackableObjectGraph
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.TransportOptions.RecvBufRespExtra
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.ValuesDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.VariableDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.VariantTensorDataProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.VarLenFeatureProto
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.VerifierConfig
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.VersionDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.WatchdogConfig
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.WhileContextDef
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.WorkerHeartbeatRequest
writeTo(CodedOutputStream) - Method in class org.tensorflow.proto.WorkerHeartbeatResponse
wRu - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The wRu input
wRu - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The wRu input

X

x - Variable in class org.tensorflow.op.bitwise.BitwiseAnd.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.BitwiseOr.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.BitwiseXor.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.Invert.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.LeftShift.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.RightShift.Inputs: The x input
x - Variable in class org.tensorflow.op.core.DeepCopy.Inputs: The source tensor of type T.
x - Variable in class org.tensorflow.op.core.InplaceAdd.Inputs: A Tensor of type T.
x - Variable in class org.tensorflow.op.core.InplaceSub.Inputs: A Tensor of type T.
x - Variable in class org.tensorflow.op.core.InplaceUpdate.Inputs: A tensor of type T.
x - Variable in class org.tensorflow.op.core.OnesLike.Inputs: a tensor of type T.
x - Variable in class org.tensorflow.op.core.SetDiff1d.Inputs: 1-D.
x - Variable in class org.tensorflow.op.core.Unique.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.core.ZerosLike.Inputs: a tensor of type T.
x - Variable in class org.tensorflow.op.dtypes.Cast.Inputs: The x input
x - Variable in class org.tensorflow.op.linalg.ConjugateTranspose.Inputs: The x input
x - Variable in class org.tensorflow.op.linalg.Transpose.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Abs.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Acos.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Acosh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Add.Inputs: The x input
x - Variable in class org.tensorflow.op.math.ApproximateEqual.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Asin.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Asinh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Atan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Atan2.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Atanh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.BesselI0.Inputs: The x input
x - Variable in class org.tensorflow.op.math.BesselI0e.Inputs: The x input
x - Variable in class org.tensorflow.op.math.BesselI1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.BesselI1e.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Betainc.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Ceil.Inputs: The x input
x - Variable in class org.tensorflow.op.math.ComplexAbs.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Cos.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Cosh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Cumprod.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.math.Cumsum.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.math.Digamma.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Div.Inputs: The x input
x - Variable in class org.tensorflow.op.math.DivNoNan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Equal.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Erf.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Erfc.Inputs: The x input
x - Variable in class org.tensorflow.op.math.erfinv.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Exp.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Expm1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Floor.Inputs: The x input
x - Variable in class org.tensorflow.op.math.FloorDiv.Inputs: The x input
x - Variable in class org.tensorflow.op.math.FloorMod.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Greater.Inputs: The x input
x - Variable in class org.tensorflow.op.math.GreaterEqual.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Igamma.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Igammac.Inputs: The x input
x - Variable in class org.tensorflow.op.math.IgammaGradA.Inputs: The x input
x - Variable in class org.tensorflow.op.math.InvertPermutation.Inputs: 1-D.
x - Variable in class org.tensorflow.op.math.IsFinite.Inputs: The x input
x - Variable in class org.tensorflow.op.math.IsInf.Inputs: The x input
x - Variable in class org.tensorflow.op.math.IsNan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Less.Inputs: The x input
x - Variable in class org.tensorflow.op.math.LessEqual.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Lgamma.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Log.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Log1p.Inputs: The x input
x - Variable in class org.tensorflow.op.math.LogicalAnd.Inputs: The x input
x - Variable in class org.tensorflow.op.math.LogicalNot.Inputs: A Tensor of type bool.
x - Variable in class org.tensorflow.op.math.LogicalOr.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Maximum.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Minimum.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Mod.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Mul.Inputs: The x input
x - Variable in class org.tensorflow.op.math.MulNoNan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Ndtri.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Neg.Inputs: The x input
x - Variable in class org.tensorflow.op.math.NotEqual.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Polygamma.Inputs: The x input
x - Variable in class org.tensorflow.op.math.PopulationCount.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Pow.Inputs: The x input
x - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The x input
x - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The x input
x - Variable in class org.tensorflow.op.math.RealDiv.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Reciprocal.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Rint.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Round.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Rsqrt.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sigmoid.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sign.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sin.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sinh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselJ0.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselJ1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselK0.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselK0e.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselK1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselK1e.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselY0.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselY1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.Dawsn.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.Expint.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.FresnelCos.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.FresnelSin.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.Spence.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sqrt.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Square.Inputs: The x input
x - Variable in class org.tensorflow.op.math.SquaredDifference.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sub.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Tan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Tanh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.TruncateDiv.Inputs: The x input
x - Variable in class org.tensorflow.op.math.TruncateMod.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Xdivy.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Xlog1py.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Xlogy.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Zeta.Inputs: The x input
x - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The sequence input to the LSTM, shape (timelen, batch_size, num_inputs).
x - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The sequence input to the LSTM, shape (timelen, batch_size, num_inputs).
x - Variable in class org.tensorflow.op.nn.DataFormatDimMap.Inputs: A Tensor with each element as a dimension index in source data format.
x - Variable in class org.tensorflow.op.nn.DataFormatVecPermute.Inputs: Tensor of rank 1 or 2 in source data format.
x - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 4D Tensor for input data.
x - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A 4D Tensor for input data.
x - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The x input
x - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The x input
x - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The input to the LSTM cell, shape (batch_size, num_inputs).
x - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The input to the LSTM cell, shape (batch_size, num_inputs).
x - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: A 4D input Tensor.
x - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: 2-D or higher with shape [..., r_x, c_x].
x1 - Variable in class org.tensorflow.op.math.NextAfter.Inputs: The x1 input
x2 - Variable in class org.tensorflow.op.math.NextAfter.Inputs: The x2 input
xBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets xBackprop.
xDensity - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Horizontal pixels per density unit.
xDensity(Long) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the xDensity option.
xDensity(Long) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the xDensity option.
xdivy(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns 0 if x == 0, and x / y otherwise, elementwise.
Xdivy<T> - Class in org.tensorflow.op.math: Returns 0 if x == 0, and x / y otherwise, elementwise.
Xdivy(Operation) - Constructor for class org.tensorflow.op.math.Xdivy
Xdivy.Inputs<T> - Class in org.tensorflow.op.math
xGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets xGrad.
xla - Variable in class org.tensorflow.op.Ops
XLA_FUSION_AUTOTUNER_THRESH_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
XLA_GLOBAL_ID_FIELD_NUMBER - Static variable in class org.tensorflow.proto.DeviceAttributes
XLA_PREFER_SINGLE_GRAPH_CLUSTER_FIELD_NUMBER - Static variable in class org.tensorflow.proto.ConfigProto.Experimental
xlaHostCompute(Iterable, List, List, List, ConcreteFunction, String, XlaHostCompute.Options...) - Method in class org.tensorflow.op.XlaOps: A pseudo-op to represent host-side computation in an XLA program.
XlaHostCompute - Class in org.tensorflow.op.xla: A pseudo-op to represent host-side computation in an XLA program.
XlaHostCompute(Operation) - Constructor for class org.tensorflow.op.xla.XlaHostCompute
XlaHostCompute.Inputs - Class in org.tensorflow.op.xla
XlaHostCompute.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaHostCompute
XlaOps - Class in org.tensorflow.op: An API for building xla operations as Ops
xlaRecvFromHost(Class, Shape, String) - Method in class org.tensorflow.op.XlaOps: An op to receive a tensor from the host.
XlaRecvFromHost<T> - Class in org.tensorflow.op.xla: An op to receive a tensor from the host. output: the tensor that will be received from the host.
XlaRecvFromHost(Operation) - Constructor for class org.tensorflow.op.xla.XlaRecvFromHost
XlaRecvFromHost.Inputs - Class in org.tensorflow.op.xla
XlaRecvTPUEmbeddingActivations - Class in org.tensorflow.op.xla: An op that receives embedding activations on the TPU.
XlaRecvTPUEmbeddingActivations(Operation) - Constructor for class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations
XlaRecvTPUEmbeddingActivations.Inputs - Class in org.tensorflow.op.xla
XlaRecvTPUEmbeddingDeduplicationData - Class in org.tensorflow.op.xla: Receives deduplication data (indices and weights) from the embedding core.
XlaRecvTPUEmbeddingDeduplicationData(Operation) - Constructor for class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData
XlaRecvTPUEmbeddingDeduplicationData.Inputs - Class in org.tensorflow.op.xla
xlaSendToHost(Operand, String) - Method in class org.tensorflow.op.XlaOps: An op to send a tensor to the host.
XlaSendToHost - Class in org.tensorflow.op.xla: An op to send a tensor to the host. input: the tensor that will be sent to the host.
XlaSendToHost(Operation) - Constructor for class org.tensorflow.op.xla.XlaSendToHost
XlaSendToHost.Inputs - Class in org.tensorflow.op.xla
XlaSendTPUEmbeddingGradients - Class in org.tensorflow.op.xla: An op that performs gradient updates of embedding tables.
XlaSendTPUEmbeddingGradients(Operation) - Constructor for class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients
XlaSendTPUEmbeddingGradients.Inputs - Class in org.tensorflow.op.xla
XlaSendTPUEmbeddingGradients.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSendTPUEmbeddingGradients
xlaSparseCoreAdagrad(Operand, Operand, Operand, Operand, Operand, Long) - Method in class org.tensorflow.op.XlaOps: The XlaSparseCoreAdagrad operation
XlaSparseCoreAdagrad - Class in org.tensorflow.op.xla: The XlaSparseCoreAdagrad operation
XlaSparseCoreAdagrad(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreAdagrad
XlaSparseCoreAdagrad.Inputs - Class in org.tensorflow.op.xla
xlaSparseCoreAdagradMomentum(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Long, Boolean, Float, Float) - Method in class org.tensorflow.op.XlaOps: The XlaSparseCoreAdagradMomentum operation
XlaSparseCoreAdagradMomentum - Class in org.tensorflow.op.xla: The XlaSparseCoreAdagradMomentum operation
XlaSparseCoreAdagradMomentum(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum
XlaSparseCoreAdagradMomentum.Inputs - Class in org.tensorflow.op.xla
xlaSparseCoreAdam(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Long, Boolean) - Method in class org.tensorflow.op.XlaOps: The XlaSparseCoreAdam operation
XlaSparseCoreAdam - Class in org.tensorflow.op.xla: The XlaSparseCoreAdam operation
XlaSparseCoreAdam(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreAdam
XlaSparseCoreAdam.Inputs - Class in org.tensorflow.op.xla
xlaSparseCoreFtrl(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Long, Boolean, Float) - Method in class org.tensorflow.op.XlaOps: The XlaSparseCoreFtrl operation
XlaSparseCoreFtrl - Class in org.tensorflow.op.xla: The XlaSparseCoreFtrl operation
XlaSparseCoreFtrl(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreFtrl
XlaSparseCoreFtrl.Inputs - Class in org.tensorflow.op.xla
xlaSparseCoreSgd(Operand, Operand, Operand, Operand, Long) - Method in class org.tensorflow.op.XlaOps: The XlaSparseCoreSgd operation
XlaSparseCoreSgd - Class in org.tensorflow.op.xla: The XlaSparseCoreSgd operation
XlaSparseCoreSgd(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreSgd
XlaSparseCoreSgd.Inputs - Class in org.tensorflow.op.xla
xlaSparseDenseMatmul(Operand, Operand, Operand, Operand, Operand, Long, Long, Long) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmul operation
XlaSparseDenseMatmul - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmul operation
XlaSparseDenseMatmul(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmul
XlaSparseDenseMatmul.Inputs - Class in org.tensorflow.op.xla
xlaSparseDenseMatmulGradWithAdagradAndCsrInput(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, String, XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Options...) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmulGradWithAdagradAndCsrInput operation
XlaSparseDenseMatmulGradWithAdagradAndCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithAdagradAndCsrInput operation
XlaSparseDenseMatmulGradWithAdagradAndCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput
XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithAdagradAndCsrInput
XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize operation
XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize
XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithAdagradAndStaticBufferSize
xlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean, Float, Float, Float, Float, String, XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Options...) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput operation
XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput operation
XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput
XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput
XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize operation
XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize
XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithAdagradMomentumAndStaticBufferSize
xlaSparseDenseMatmulGradWithAdamAndCsrInput(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean, Float, Float, Float, String, XlaSparseDenseMatmulGradWithAdamAndCsrInput.Options...) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmulGradWithAdamAndCsrInput operation
XlaSparseDenseMatmulGradWithAdamAndCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithAdamAndCsrInput operation
XlaSparseDenseMatmulGradWithAdamAndCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput
XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithAdamAndCsrInput.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithAdamAndCsrInput
XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize operation
XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize
XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithAdamAndStaticBufferSize
XlaSparseDenseMatmulGradWithCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithCsrInput operation
XlaSparseDenseMatmulGradWithCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithCsrInput
XlaSparseDenseMatmulGradWithCsrInput.Inputs - Class in org.tensorflow.op.xla
xlaSparseDenseMatmulGradWithFtrlAndCsrInput(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, Boolean, Float, Float, Float, Float, String, XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options...) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmulGradWithFtrlAndCsrInput operation
XlaSparseDenseMatmulGradWithFtrlAndCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithFtrlAndCsrInput operation
XlaSparseDenseMatmulGradWithFtrlAndCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput
XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithFtrlAndCsrInput
XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize operation
XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize
XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithFtrlAndStaticBufferSize
xlaSparseDenseMatmulGradWithSgdAndCsrInput(Operand, Operand, Operand, Operand, Operand, Operand, Operand, Operand, String, XlaSparseDenseMatmulGradWithSgdAndCsrInput.Options...) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmulGradWithSgdAndCsrInput operation
XlaSparseDenseMatmulGradWithSgdAndCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithSgdAndCsrInput operation
XlaSparseDenseMatmulGradWithSgdAndCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput
XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithSgdAndCsrInput.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithSgdAndCsrInput
XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize operation
XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize
XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithSgdAndStaticBufferSize
xlaSparseDenseMatmulWithCsrInput(Operand, Operand, Operand, Operand, Operand, Operand, Long, Float, Float, Long, String) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmulWithCsrInput operation
XlaSparseDenseMatmulWithCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulWithCsrInput operation
XlaSparseDenseMatmulWithCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput
XlaSparseDenseMatmulWithCsrInput.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulWithStaticBufferSize - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulWithStaticBufferSize operation
XlaSparseDenseMatmulWithStaticBufferSize(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulWithStaticBufferSize
XlaSparseDenseMatmulWithStaticBufferSize.Inputs - Class in org.tensorflow.op.xla
xlog1py(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns 0 if x == 0, and x * log1p(y) otherwise, elementwise.
Xlog1py<T> - Class in org.tensorflow.op.math: Returns 0 if x == 0, and x * log1p(y) otherwise, elementwise.
Xlog1py(Operation) - Constructor for class org.tensorflow.op.math.Xlog1py
Xlog1py.Inputs<T> - Class in org.tensorflow.op.math
xlogy(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Returns 0 if x == 0, and x * log(y) otherwise, elementwise.
Xlogy<T> - Class in org.tensorflow.op.math: Returns 0 if x == 0, and x * log(y) otherwise, elementwise.
Xlogy(Operation) - Constructor for class org.tensorflow.op.math.Xlogy
Xlogy.Inputs<T> - Class in org.tensorflow.op.math
xMax - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: The value represented by the highest quantized input.
xMin - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: The value represented by the lowest quantized input.
xmpMetadata - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: If not empty, embed this XMP metadata in the image header.
xmpMetadata(String) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the xmpMetadata option.
xmpMetadata(String) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the xmpMetadata option.
Xplane - Class in org.tensorflow.proto.profiler.empty
Xplane - Class in org.tensorflow.proto.profiler
Xplane.XEvent - Class in org.tensorflow.proto.profiler: An XEvent is a trace event, optionally annotated with XStats.
Xplane.XEvent.Builder - Class in org.tensorflow.proto.profiler: An XEvent is a trace event, optionally annotated with XStats.
Xplane.XEvent.DataCase - Enum in org.tensorflow.proto.profiler
Xplane.XEventMetadata - Class in org.tensorflow.proto.profiler: Metadata for an XEvent, corresponds to an event type and is shared by all XEvents with the same metadata_id.
Xplane.XEventMetadata.Builder - Class in org.tensorflow.proto.profiler: Metadata for an XEvent, corresponds to an event type and is shared by all XEvents with the same metadata_id.
Xplane.XEventMetadataOrBuilder - Interface in org.tensorflow.proto.profiler
Xplane.XEventOrBuilder - Interface in org.tensorflow.proto.profiler
Xplane.XLine - Class in org.tensorflow.proto.profiler: An XLine is a timeline of trace events (XEvents).
Xplane.XLine.Builder - Class in org.tensorflow.proto.profiler: An XLine is a timeline of trace events (XEvents).
Xplane.XLineOrBuilder - Interface in org.tensorflow.proto.profiler
Xplane.XPlane - Class in org.tensorflow.proto.profiler: An XPlane is a container of parallel timelines (XLines), generated by a profiling source or by post-processing one or more XPlanes.
Xplane.XPlane.Builder - Class in org.tensorflow.proto.profiler: An XPlane is a container of parallel timelines (XLines), generated by a profiling source or by post-processing one or more XPlanes.
Xplane.XPlaneOrBuilder - Interface in org.tensorflow.proto.profiler
Xplane.XSpace - Class in org.tensorflow.proto.profiler: A container of parallel XPlanes, generated by one or more profiling sources.
Xplane.XSpace.Builder - Class in org.tensorflow.proto.profiler: A container of parallel XPlanes, generated by one or more profiling sources.
Xplane.XSpaceOrBuilder - Interface in org.tensorflow.proto.profiler
Xplane.XStat - Class in org.tensorflow.proto.profiler: An XStat is a named value associated with an XEvent, e.g., a performance counter value, a metric computed by a formula applied over nested XEvents and XStats.
Xplane.XStat.Builder - Class in org.tensorflow.proto.profiler: An XStat is a named value associated with an XEvent, e.g., a performance counter value, a metric computed by a formula applied over nested XEvents and XStats.
Xplane.XStat.ValueCase - Enum in org.tensorflow.proto.profiler
Xplane.XStatMetadata - Class in org.tensorflow.proto.profiler: Metadata for an XStat, corresponds to a stat type and is shared by all XStats with the same metadata_id.
Xplane.XStatMetadata.Builder - Class in org.tensorflow.proto.profiler: Metadata for an XStat, corresponds to a stat type and is shared by all XStats with the same metadata_id.
Xplane.XStatMetadataOrBuilder - Interface in org.tensorflow.proto.profiler
Xplane.XStatOrBuilder - Interface in org.tensorflow.proto.profiler

Y

y - Variable in class org.tensorflow.op.bitwise.BitwiseAnd.Inputs: The y input
y - Variable in class org.tensorflow.op.bitwise.BitwiseOr.Inputs: The y input
y - Variable in class org.tensorflow.op.bitwise.BitwiseXor.Inputs: The y input
y - Variable in class org.tensorflow.op.bitwise.LeftShift.Inputs: The y input
y - Variable in class org.tensorflow.op.bitwise.RightShift.Inputs: The y input
y - Variable in class org.tensorflow.op.core.SetDiff1d.Inputs: 1-D.
y - Variable in class org.tensorflow.op.math.Add.Inputs: The y input
y - Variable in class org.tensorflow.op.math.ApproximateEqual.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Atan2.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Div.Inputs: The y input
y - Variable in class org.tensorflow.op.math.DivNoNan.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Equal.Inputs: The y input
y - Variable in class org.tensorflow.op.math.FloorDiv.Inputs: The y input
y - Variable in class org.tensorflow.op.math.FloorMod.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Greater.Inputs: The y input
y - Variable in class org.tensorflow.op.math.GreaterEqual.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Less.Inputs: The y input
y - Variable in class org.tensorflow.op.math.LessEqual.Inputs: The y input
y - Variable in class org.tensorflow.op.math.LogicalAnd.Inputs: The y input
y - Variable in class org.tensorflow.op.math.LogicalOr.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Maximum.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Minimum.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Mod.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Mul.Inputs: The y input
y - Variable in class org.tensorflow.op.math.MulNoNan.Inputs: The y input
y - Variable in class org.tensorflow.op.math.NotEqual.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Pow.Inputs: The y input
y - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The y input
y - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The y input
y - Variable in class org.tensorflow.op.math.RealDiv.Inputs: The y input
y - Variable in class org.tensorflow.op.math.ReciprocalGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.math.RsqrtGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.math.SigmoidGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.math.SqrtGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.math.SquaredDifference.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Sub.Inputs: The y input
y - Variable in class org.tensorflow.op.math.TanhGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.math.TruncateDiv.Inputs: The y input
y - Variable in class org.tensorflow.op.math.TruncateMod.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Xdivy.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Xlog1py.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Xlogy.Inputs: The y input
y - Variable in class org.tensorflow.op.nn.InvGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: 2-D or higher with shape [..., r_y, c_y].
y() - Method in class org.tensorflow.op.bitwise.Invert: Gets y.
y() - Method in class org.tensorflow.op.core.DeepCopy: Gets y.
y() - Method in class org.tensorflow.op.core.InplaceAdd: Gets y.
y() - Method in class org.tensorflow.op.core.InplaceSub: Gets y.
y() - Method in class org.tensorflow.op.core.InplaceUpdate: Gets y.
y() - Method in class org.tensorflow.op.core.OnesLike: Gets y. a tensor of the same shape and type as x but filled with ones.
y() - Method in class org.tensorflow.op.core.Unique: Gets y.
y() - Method in class org.tensorflow.op.core.UniqueWithCounts: Gets y.
y() - Method in class org.tensorflow.op.core.ZerosLike: Gets y. a tensor of the same shape and type as x but filled with zeros.
y() - Method in class org.tensorflow.op.dtypes.Cast: Gets y.
y() - Method in class org.tensorflow.op.linalg.ConjugateTranspose: Gets y.
y() - Method in class org.tensorflow.op.linalg.Transpose: Gets y.
y() - Method in class org.tensorflow.op.math.Abs: Gets y.
y() - Method in class org.tensorflow.op.math.Acos: Gets y.
y() - Method in class org.tensorflow.op.math.Acosh: Gets y.
y() - Method in class org.tensorflow.op.math.Asin: Gets y.
y() - Method in class org.tensorflow.op.math.Asinh: Gets y.
y() - Method in class org.tensorflow.op.math.Atan: Gets y.
y() - Method in class org.tensorflow.op.math.Atanh: Gets y.
y() - Method in class org.tensorflow.op.math.BesselI0: Gets y.
y() - Method in class org.tensorflow.op.math.BesselI0e: Gets y.
y() - Method in class org.tensorflow.op.math.BesselI1: Gets y.
y() - Method in class org.tensorflow.op.math.BesselI1e: Gets y.
y() - Method in class org.tensorflow.op.math.Ceil: Gets y.
y() - Method in class org.tensorflow.op.math.ComplexAbs: Gets y.
y() - Method in class org.tensorflow.op.math.Cos: Gets y.
y() - Method in class org.tensorflow.op.math.Cosh: Gets y.
y() - Method in class org.tensorflow.op.math.Digamma: Gets y.
y() - Method in class org.tensorflow.op.math.Erf: Gets y.
y() - Method in class org.tensorflow.op.math.Erfc: Gets y.
y() - Method in class org.tensorflow.op.math.erfinv: Gets y.
y() - Method in class org.tensorflow.op.math.Exp: Gets y.
y() - Method in class org.tensorflow.op.math.Expm1: Gets y.
y() - Method in class org.tensorflow.op.math.Floor: Gets y.
y() - Method in class org.tensorflow.op.math.InvertPermutation: Gets y. 1-D.
y() - Method in class org.tensorflow.op.math.IsFinite: Gets y.
y() - Method in class org.tensorflow.op.math.IsInf: Gets y.
y() - Method in class org.tensorflow.op.math.IsNan: Gets y.
y() - Method in class org.tensorflow.op.math.Lgamma: Gets y.
y() - Method in class org.tensorflow.op.math.Log: Gets y.
y() - Method in class org.tensorflow.op.math.Log1p: Gets y.
y() - Method in class org.tensorflow.op.math.LogicalNot: Gets y.
y() - Method in class org.tensorflow.op.math.Ndtri: Gets y.
y() - Method in class org.tensorflow.op.math.Neg: Gets y.
y() - Method in class org.tensorflow.op.math.PopulationCount: Gets y.
y() - Method in class org.tensorflow.op.math.Reciprocal: Gets y.
y() - Method in class org.tensorflow.op.math.Rint: Gets y.
y() - Method in class org.tensorflow.op.math.Round: Gets y.
y() - Method in class org.tensorflow.op.math.Rsqrt: Gets y.
y() - Method in class org.tensorflow.op.math.Sigmoid: Gets y.
y() - Method in class org.tensorflow.op.math.Sign: Gets y.
y() - Method in class org.tensorflow.op.math.Sin: Gets y.
y() - Method in class org.tensorflow.op.math.Sinh: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselJ0: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselJ1: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselK0: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselK0e: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselK1: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselK1e: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselY0: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselY1: Gets y.
y() - Method in class org.tensorflow.op.math.special.Dawsn: Gets y.
y() - Method in class org.tensorflow.op.math.special.Expint: Gets y.
y() - Method in class org.tensorflow.op.math.special.FresnelCos: Gets y.
y() - Method in class org.tensorflow.op.math.special.FresnelSin: Gets y.
y() - Method in class org.tensorflow.op.math.special.Spence: Gets y.
y() - Method in class org.tensorflow.op.math.Sqrt: Gets y.
y() - Method in class org.tensorflow.op.math.Square: Gets y.
y() - Method in class org.tensorflow.op.math.Tan: Gets y.
y() - Method in class org.tensorflow.op.math.Tanh: Gets y.
y() - Method in class org.tensorflow.op.nn.DataFormatDimMap: Gets y.
y() - Method in class org.tensorflow.op.nn.DataFormatVecPermute: Gets y.
y() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets y.
y() - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Gets y.
yBackprop - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A 4D Tensor for the gradient with respect to y.
yDensity - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Vertical pixels per density unit.
yDensity(Long) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the yDensity option.
yDensity(Long) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the yDensity option.
yMax() - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Gets yMax.
yMin() - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Gets yMin.

Z

z() - Method in class org.tensorflow.op.bitwise.BitwiseAnd: Gets z.
z() - Method in class org.tensorflow.op.bitwise.BitwiseOr: Gets z.
z() - Method in class org.tensorflow.op.bitwise.BitwiseXor: Gets z.
z() - Method in class org.tensorflow.op.bitwise.LeftShift: Gets z.
z() - Method in class org.tensorflow.op.bitwise.RightShift: Gets z.
z() - Method in class org.tensorflow.op.math.Add: Gets z.
z() - Method in class org.tensorflow.op.math.ApproximateEqual: Gets z.
z() - Method in class org.tensorflow.op.math.Atan2: Gets z.
z() - Method in class org.tensorflow.op.math.Betainc: Gets z.
z() - Method in class org.tensorflow.op.math.Div: Gets z.
z() - Method in class org.tensorflow.op.math.DivNoNan: Gets z.
z() - Method in class org.tensorflow.op.math.Equal: Gets z.
z() - Method in class org.tensorflow.op.math.FloorDiv: Gets z.
z() - Method in class org.tensorflow.op.math.FloorMod: Gets z.
z() - Method in class org.tensorflow.op.math.Greater: Gets z.
z() - Method in class org.tensorflow.op.math.GreaterEqual: Gets z.
z() - Method in class org.tensorflow.op.math.Igamma: Gets z.
z() - Method in class org.tensorflow.op.math.Igammac: Gets z.
z() - Method in class org.tensorflow.op.math.IgammaGradA: Gets z.
z() - Method in class org.tensorflow.op.math.Less: Gets z.
z() - Method in class org.tensorflow.op.math.LessEqual: Gets z.
z() - Method in class org.tensorflow.op.math.LogicalAnd: Gets z.
z() - Method in class org.tensorflow.op.math.LogicalOr: Gets z.
z() - Method in class org.tensorflow.op.math.Maximum: Gets z.
z() - Method in class org.tensorflow.op.math.Minimum: Gets z.
z() - Method in class org.tensorflow.op.math.Mod: Gets z.
z() - Method in class org.tensorflow.op.math.Mul: Gets z.
z() - Method in class org.tensorflow.op.math.MulNoNan: Gets z.
z() - Method in class org.tensorflow.op.math.NotEqual: Gets z.
z() - Method in class org.tensorflow.op.math.Polygamma: Gets z.
z() - Method in class org.tensorflow.op.math.Pow: Gets z.
z() - Method in class org.tensorflow.op.math.QuantizedAdd: Gets z.
z() - Method in class org.tensorflow.op.math.QuantizedMul: Gets z.
z() - Method in class org.tensorflow.op.math.RealDiv: Gets z.
z() - Method in class org.tensorflow.op.math.ReciprocalGrad: Gets z.
z() - Method in class org.tensorflow.op.math.RsqrtGrad: Gets z.
z() - Method in class org.tensorflow.op.math.SigmoidGrad: Gets z.
z() - Method in class org.tensorflow.op.math.SqrtGrad: Gets z.
z() - Method in class org.tensorflow.op.math.SquaredDifference: Gets z.
z() - Method in class org.tensorflow.op.math.Sub: Gets z.
z() - Method in class org.tensorflow.op.math.TanhGrad: Gets z.
z() - Method in class org.tensorflow.op.math.TruncateDiv: Gets z.
z() - Method in class org.tensorflow.op.math.TruncateMod: Gets z.
z() - Method in class org.tensorflow.op.math.Xdivy: Gets z.
z() - Method in class org.tensorflow.op.math.Xlog1py: Gets z.
z() - Method in class org.tensorflow.op.math.Xlogy: Gets z.
z() - Method in class org.tensorflow.op.math.Zeta: Gets z.
z() - Method in class org.tensorflow.op.nn.InvGrad: Gets z.
zeroPoints - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The int32 value(s) used as zero_point(s) when quantizing operand, min and max.
zeroPoints - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: The int32 value(s) used as zero_point(s) when quantizing original data that input represents.
zeroPoints - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: The int32 value(s) to use as zero_point(s) to quantize input.
zeros(Operand, Class) - Method in class org.tensorflow.op.Ops: Creates a zeroed tensor given its type and shape.
Zeros<T> - Class in org.tensorflow.framework.initializers: Creates an Initializer that sets all values to zero.
Zeros<T> - Class in org.tensorflow.op.core: An operator creating a constant initialized with zeros of the shape given by `dims`.
Zeros() - Constructor for class org.tensorflow.framework.initializers.Zeros: Creates an Initializer that sets all values to one.
zerosLike(Operand) - Method in class org.tensorflow.op.Ops: Returns a tensor of zeros with the same shape and type as x.
ZerosLike<T> - Class in org.tensorflow.op.core: Returns a tensor of zeros with the same shape and type as x.
ZerosLike(Operation) - Constructor for class org.tensorflow.op.core.ZerosLike
ZerosLike.Inputs<T> - Class in org.tensorflow.op.core
zeta(Operand, Operand) - Method in class org.tensorflow.op.MathOps: Compute the Hurwitz zeta function \(\zeta(x, q)\).
Zeta<T> - Class in org.tensorflow.op.math: Compute the Hurwitz zeta function \(\zeta(x, q)\).
Zeta(Operation) - Constructor for class org.tensorflow.op.math.Zeta
Zeta.Inputs<T> - Class in org.tensorflow.op.math
zipDataset(Iterable, List, List, ZipDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that zips together input_datasets.
ZipDataset - Class in org.tensorflow.op.data: Creates a dataset that zips together input_datasets.
ZipDataset(Operation) - Constructor for class org.tensorflow.op.data.ZipDataset
ZipDataset.Inputs - Class in org.tensorflow.op.data
ZipDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ZipDataset

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