Uses of Package
org.tensorflow.proto
Packages that use org.tensorflow.proto
Package
Description
Defines classes to build, save, load and execute TensorFlow models.
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Classes in org.tensorflow.proto used by org.tensorflowClassDescriptionProtocol buffer representing the value for an attr used to configure an Op.Session configuration parameters.(== suppress_warning documentation-presence ==) LINT.IfChangeA function can be instantiated when the runtime can bind every attr with a value.Represents the graph of operationsProtocol buffer containing the following which are necessary to restart training, run inference.A collection of OpDefsMetadata output (i.e., non-Tensor) for a single Run() call.Options for a single Run() call.Defines the configuration of a single TensorFlow server.
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Classes in org.tensorflow.proto used by org.tensorflow.op
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Classes in org.tensorflow.proto used by org.tensorflow.op.bitwise
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Classes in org.tensorflow.proto used by org.tensorflow.op.collective
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Classes in org.tensorflow.proto used by org.tensorflow.op.core
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Classes in org.tensorflow.proto used by org.tensorflow.op.data
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Classes in org.tensorflow.proto used by org.tensorflow.op.data.experimental
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Classes in org.tensorflow.proto used by org.tensorflow.op.debugging
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Classes in org.tensorflow.proto used by org.tensorflow.op.distribute
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Classes in org.tensorflow.proto used by org.tensorflow.op.dtypes
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Classes in org.tensorflow.proto used by org.tensorflow.op.image
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Classes in org.tensorflow.proto used by org.tensorflow.op.io
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Classes in org.tensorflow.proto used by org.tensorflow.op.linalg
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Classes in org.tensorflow.proto used by org.tensorflow.op.linalg.sparse
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Classes in org.tensorflow.proto used by org.tensorflow.op.math
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Classes in org.tensorflow.proto used by org.tensorflow.op.math.special
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Classes in org.tensorflow.proto used by org.tensorflow.op.nn
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Classes in org.tensorflow.proto used by org.tensorflow.op.quantization
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Classes in org.tensorflow.proto used by org.tensorflow.op.ragged
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Classes in org.tensorflow.proto used by org.tensorflow.op.random
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Classes in org.tensorflow.proto used by org.tensorflow.op.random.experimental
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Classes in org.tensorflow.proto used by org.tensorflow.op.signal
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Classes in org.tensorflow.proto used by org.tensorflow.op.sparse
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Classes in org.tensorflow.proto used by org.tensorflow.op.strings
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Classes in org.tensorflow.proto used by org.tensorflow.op.summary
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Classes in org.tensorflow.proto used by org.tensorflow.op.tpu
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Classes in org.tensorflow.proto used by org.tensorflow.op.train
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Classes in org.tensorflow.proto used by org.tensorflow.op.xla
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Classes in org.tensorflow.proto used by org.tensorflow.protoClassDescriptionProtobuf type
tensorflow.AllocationDescriptionProtobuf typetensorflow.AllocationDescriptionAn allocation/de-allocation operation performed by the allocator.An allocation/de-allocation operation performed by the allocator.Protobuf typetensorflow.AllocatorMemoryUsedProtobuf typetensorflow.AllocatorMemoryUsedUsed to specify and override the default API & behavior in the generated code for client languages, from what you would get from the OpDef alone.Protobuf typetensorflow.ApiDef.ArgProtobuf typetensorflow.ApiDef.ArgDescription of the graph-construction-time configuration of this Op.Description of the graph-construction-time configuration of this Op.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.If you specify any endpoint, this will replace all of the inherited endpoints.If you specify any endpoint, this will replace all of the inherited endpoints.Protobuf enumtensorflow.ApiDef.VisibilityProtobuf typetensorflow.ApiDefsProtobuf typetensorflow.ApiDefsAn asset file def for a single file or a set of sharded files with the same name.An asset file def for a single file or a set of sharded files with the same name.Protocol buffer representing the value for an attr used to configure an Op.Protocol buffer representing the value for an attr used to configure an Op.LINT.IfChangeLINT.IfChangeProtobuf typetensorflow.AutoParallelOptionsProtobuf typetensorflow.AutoParallelOptionsMatches DeviceAttributesMatches DeviceAttributesProtobuf typetensorflow.BenchmarkEntriesProtobuf typetensorflow.BenchmarkEntriesEach unit test or benchmark in a test or benchmark run provides some set of information.Each unit test or benchmark in a test or benchmark run provides some set of information.Protobuf typetensorflow.BinSummaryProtobuf typetensorflow.BinSummarySome of the data from AllocatorStatsSome of the data from AllocatorStatsProtobuf typetensorflow.MemChunkProtobuf typetensorflow.MemChunkProtobuf typetensorflow.MemoryDumpProtobuf typetensorflow.MemoryDumpProtobuf typetensorflow.SnapShotProtobuf typetensorflow.SnapShotProtobuf typetensorflow.BuildConfigurationProtobuf typetensorflow.BuildConfigurationDescribes the metadata related to a checkpointed tensor.Describes the metadata related to a checkpointed tensor.Special header that is associated with a bundle.Special header that is associated with a bundle.An enum indicating the endianness of the platform that produced this bundle.LINT.IfChange Containers to hold repeated fundamental values.LINT.IfChange Containers to hold repeated fundamental values.Defines a subgraph in another `GraphDef` as a set of feed points and nodes to be fetched or executed.Defines a subgraph in another `GraphDef` as a set of feed points and nodes to be fetched or executed.Defines a TensorFlow cluster as a set of jobs.Defines a TensorFlow cluster as a set of jobs.Defines the device filters for jobs in a cluster.Defines the device filters for jobs in a cluster.Code location information: A stack trace with host-name information.Code location information: A stack trace with host-name information.CollectionDef should cover most collections.AnyList is used for collecting Any protos.AnyList is used for collecting Any protos.CollectionDef should cover most collections.BytesList is used for collecting strings and serialized protobufs.BytesList is used for collecting strings and serialized protobufs.FloatList is used for collecting float values.FloatList is used for collecting float values.Int64List is used for collecting int, int64 and long values.Int64List is used for collecting int, int64 and long values.NodeList is used for collecting nodes in graph.NodeList is used for collecting nodes in graph.Protobuf typetensorflow.CommitIdProtobuf typetensorflow.CommitIdMetadata for CompositeTensorVariant, used when serializing as Variant.Metadata for CompositeTensorVariant, used when serializing as Variant.Protocol buffer representing a CondContext object.Protocol buffer representing a CondContext object.Session configuration parameters.Session configuration parameters.Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.An enum that describes the state of the MLIR bridge rollout.Container for any kind of control flow context.Container for any kind of control flow context.Represents a job type and the number of tasks under this job.Represents a job type and the number of tasks under this job.Coordination service configuration parameters.Coordination service configuration parameters.Protobuf typetensorflow.CostGraphDefTotal cost of this graph, typically used for balancing decisions.Total cost of this graph, typically used for balancing decisions.Protobuf typetensorflow.CostGraphDefProtobuf typetensorflow.CostGraphDef.NodeProtobuf typetensorflow.CostGraphDef.NodeInputs of this node.Inputs of this node.Outputs of this node.Outputs of this node.Protobuf typetensorflow.CPUInfoProtobuf typetensorflow.CPUInfoProtobuf enumtensorflow.DataClass(== suppress_warning documentation-presence ==) LINT.IfChangeAn Event related to the debugging of a TensorFlow program.An Event related to the debugging of a TensorFlow program.A device on which ops and/or tensors are instrumented by the debugger.A device on which ops and/or tensors are instrumented by the debugger.A debugger-instrumented graph.A debugger-instrumented graph.Protobuf typetensorflow.DebuggedSourceFileProtobuf typetensorflow.DebuggedSourceFileProtobuf typetensorflow.DebuggedSourceFilesProtobuf typetensorflow.DebuggedSourceFilesMetadata about the debugger and the debugged TensorFlow program.Metadata about the debugger and the debugged TensorFlow program.Options for initializing DebuggerState in TensorFlow Debugger (tfdbg).Options for initializing DebuggerState in TensorFlow Debugger (tfdbg).Option for watching a node in TensorFlow Debugger (tfdbg).Option for watching a node in TensorFlow Debugger (tfdbg).Protobuf typetensorflow.DeviceAttributesProtobuf typetensorflow.DeviceAttributesProtobuf typetensorflow.DeviceLocalityProtobuf typetensorflow.DeviceLocalityProtobuf typetensorflow.DevicePropertiesProtobuf typetensorflow.DevicePropertiesProtobuf typetensorflow.NamedDeviceProtobuf typetensorflow.NamedDeviceProtobuf typetensorflow.DeviceStepStatsProtobuf typetensorflow.DeviceStepStatsProtobuf typetensorflow.EntryValueProtobuf typetensorflow.EntryValueProtocol buffer representing an event that happened during the execution of a Brain model.Protocol buffer representing an event that happened during the execution of a Brain model.Protobuf typetensorflow.ExampleProtobuf typetensorflow.ExampleProtobuf typetensorflow.ExampleParserConfigurationProtobuf typetensorflow.ExampleParserConfigurationData relating to the eager execution of an op or a Graph.Data relating to the eager execution of an op or a Graph.Containers for non-sequential data.Containers for non-sequential data.Protobuf typetensorflow.FeatureConfigurationProtobuf typetensorflow.FeatureConfigurationContainers for sequential data.Containers for sequential data.Protobuf typetensorflow.FeatureListsProtobuf typetensorflow.FeatureListsProtobuf typetensorflow.FeaturesProtobuf typetensorflow.FeaturesProtocol buffer representing a SavedModel Fingerprint.Protocol buffer representing a SavedModel Fingerprint.Protobuf typetensorflow.FixedLenFeatureProtoProtobuf typetensorflow.FixedLenFeatureProtoProtobuf typetensorflow.FloatListProtobuf typetensorflow.FloatListHighly experimental and very likely to change.Highly experimental and very likely to change.LINT.IfChange Experimental.A function can be instantiated when the runtime can bind every attr with a value.Attributes for function arguments.Attributes for function arguments.A function can be instantiated when the runtime can bind every attr with a value.A library is a set of named functions.A library is a set of named functions.Protobuf typetensorflow.GPUInfoProtobuf typetensorflow.GPUInfoProtobuf typetensorflow.GPUOptionsProtobuf typetensorflow.GPUOptionsProtobuf typetensorflow.GPUOptions.ExperimentalProtobuf typetensorflow.GPUOptions.ExperimentalWhether to merge data transfer streams into the compute stream in the same stream group.Whether to merge data transfer streams into the compute stream in the same stream group.Configuration for breaking down a visible GPU into multiple "virtual" devices.Configuration for breaking down a visible GPU into multiple "virtual" devices.GradientDef defines the gradient function of a function defined in a function library.GradientDef defines the gradient function of a function defined in a function library.Protobuf typetensorflow.GraphDebugInfoProtobuf typetensorflow.GraphDebugInfoThis represents a file/line location in the source code.This represents a file/line location in the source code.This represents a stack trace which is a ordered list of `FileLineCol`.This represents a stack trace which is a ordered list of `FileLineCol`.Represents the graph of operationsRepresents the graph of operationsData relating to an execution of a Graph (e.g., an eager execution of a FuncGraph).Data relating to an execution of a Graph (e.g., an eager execution of a FuncGraph).The creation of an op in a TensorFlow Graph (e.g., FuncGraph in TF2).The creation of an op in a TensorFlow Graph (e.g., FuncGraph in TF2).Protobuf typetensorflow.GraphOptionsProtobuf typetensorflow.GraphOptionsProtobuf typetensorflow.GraphTransferConstNodeInfoProtobuf typetensorflow.GraphTransferConstNodeInfoProtobuf typetensorflow.GraphTransferGraphInputNodeInfoProtobuf typetensorflow.GraphTransferGraphInputNodeInfoProtobuf typetensorflow.GraphTransferGraphOutputNodeInfoProtobuf typetensorflow.GraphTransferGraphOutputNodeInfoProtocol buffer representing a handle to a tensorflow resource.Protocol buffer representing a handle to a tensorflow resource.Protobuf enumtensorflow.GraphTransferInfo.DestinationProtobuf typetensorflow.GraphTransferNodeInfoProtobuf typetensorflow.GraphTransferNodeInfoProtobuf typetensorflow.GraphTransferNodeInputProtobuf typetensorflow.GraphTransferNodeInputProtobuf typetensorflow.GraphTransferNodeInputInfoProtobuf typetensorflow.GraphTransferNodeInputInfoProtobuf typetensorflow.GraphTransferNodeOutputInfoProtobuf typetensorflow.GraphTransferNodeOutputInfoSerialization format for histogram module in tsl/lib/histogram/histogram.hSerialization format for histogram module in tsl/lib/histogram/histogram.hProtobuf typetensorflow.Int64ListProtobuf typetensorflow.Int64ListProtobuf typetensorflow.InterconnectLinkProtobuf typetensorflow.InterconnectLinkDefines a single job in a TensorFlow cluster.Defines a single job in a TensorFlow cluster.Defines the device filters for tasks in a job.Defines the device filters for tasks in a job.Protobuf typetensorflow.KernelDefProtobuf typetensorflow.KernelDef.AttrConstraintProtobuf typetensorflow.KernelDef.AttrConstraintProtobuf typetensorflow.KernelDefA collection of KernelDefsA collection of KernelDefsProtobuf typetensorflow.LocalLinksProtobuf typetensorflow.LocalLinksDeprecated.Deprecated.Protocol buffer used for logging messages to the events file.Deprecated.Deprecated.Protobuf typetensorflow.MachineConfigurationProtobuf typetensorflow.MachineConfigurationA directory of regions in a memmapped file.A directory of regions in a memmapped file.A message that describes one region of memmapped file.A message that describes one region of memmapped file.Protobuf typetensorflow.MemoryInfoProtobuf typetensorflow.MemoryInfoProtobuf typetensorflow.MemoryLogRawAllocationProtobuf typetensorflow.MemoryLogRawAllocationProtobuf typetensorflow.MemoryLogRawDeallocationProtobuf typetensorflow.MemoryLogRawDeallocationProtobuf typetensorflow.MemoryLogStepProtobuf typetensorflow.MemoryLogStepProtobuf typetensorflow.MemoryLogTensorAllocationProtobuf typetensorflow.MemoryLogTensorAllocationProtobuf typetensorflow.MemoryLogTensorDeallocationProtobuf typetensorflow.MemoryLogTensorDeallocationProtobuf typetensorflow.MemoryLogTensorOutputProtobuf typetensorflow.MemoryLogTensorOutputFor memory tracking.For memory tracking.Protocol buffer containing the following which are necessary to restart training, run inference.Protocol buffer containing the following which are necessary to restart training, run inference.Meta information regarding the graph to be exported.Meta information regarding the graph to be exported.Protobuf typetensorflow.MetricEntryProtobuf typetensorflow.MetricEntryA list of attr names and their values.A list of attr names and their values.A pair of tensor name and tensor values.A pair of tensor name and tensor values.Protobuf typetensorflow.NodeDefProtobuf typetensorflow.NodeDefProtobuf typetensorflow.NodeDef.ExperimentalDebugInfoProtobuf typetensorflow.NodeDef.ExperimentalDebugInfoTime/size stats recorded for a single execution of a graph node.Time/size stats recorded for a single execution of a graph node.Output sizes recorded for a single execution of a graph node.Output sizes recorded for a single execution of a graph node.Defines an operation.For describing inputs and outputs.For describing inputs and outputs.Description of the graph-construction-time configuration of this Op.Description of the graph-construction-time configuration of this Op.Defines an operation.Information about version-dependent deprecation of an opInformation about version-dependent deprecation of an opA collection of OpDefsA collection of OpDefsProtobuf typetensorflow.LogNormalDistributionProtobuf typetensorflow.LogNormalDistributionProtobuf typetensorflow.NormalDistributionProtobuf typetensorflow.NormalDistributionDescription of an operation as well as the parameters expected to impact its performance.Description of an operation as well as the parameters expected to impact its performance.Input data types, shapes and values if known.Input data types, shapes and values if known.Performance data for tensorflow operationsPerformance data for tensorflow operationsMemory usage data for a tensorflow operation.Memory usage data for a tensorflow operation.A collection of OpPerformance data points.A collection of OpPerformance data points.Description of the session when an op is run.Description of the session when an op is run.Optimized function graph after instantiation-related graph optimization passes (up till before graph partitioning).Optimized function graph after instantiation-related graph optimization passes (up till before graph partitioning).Enum for distinguishing the origin where the proto is created.Options passed to the graph optimizerOptions passed to the graph optimizerControl the use of the compiler/jit.Optimization levelProtobuf typetensorflow.PlatformInfoProtobuf typetensorflow.PlatformInfoNext ID: 11Next ID: 11Protobuf enumtensorflow.ProfileOptions.DeviceTypeOptions for remote profiler session manager.Options for remote profiler session manager.Protocol buffer representing a QueueRunner.Protocol buffer representing a QueueRunner.For serializing and restoring the state of ReaderBase, see reader_base.h for details.For serializing and restoring the state of ReaderBase, see reader_base.h for details.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 stores a gradient function that is registered in the gradients library and used in the ops of a function in the function library.Protobuf typetensorflow.RequestedExitCodeProtobuf typetensorflow.RequestedExitCodeProtocol buffer representing a handle to a tensorflow resource.Protocol buffer representing a handle to a tensorflow resource.Protocol buffer representing a pair of (data type, tensor shape).Protocol buffer representing a pair of (data type, tensor shape).Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.Enum for layout conversion between NCHW and NHWC on CPU.Message to describe custom graph optimizer and its parametersMessage to describe custom graph optimizer and its parametersProtobuf enumtensorflow.RewriterConfig.MemOptTypeEnum controlling the number of times to run optimizers.Protobuf enumtensorflow.RewriterConfig.ToggleRPC options for distributed runtime.RPC options for distributed runtime.Run-specific items such as arguments to the test / benchmark.Run-specific items such as arguments to the test / benchmark.Metadata output (i.e., non-Tensor) for a single Run() call.Metadata output (i.e., non-Tensor) for a single Run() call.Protobuf typetensorflow.RunMetadata.FunctionGraphsProtobuf typetensorflow.RunMetadata.FunctionGraphsOptions for a single Run() call.Options for a single Run() call.Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.Options for run handler thread pool.Options for run handler thread pool.TODO(pbar) Turn this into a TraceOptions proto which allows tracing to be controlled in a more orthogonal manner?SavedModel is the high level serialization format for TensorFlow Models.SavedModel is the high level serialization format for TensorFlow Models.Protobuf typetensorflow.CapturedTensorProtobuf typetensorflow.CapturedTensorRepresents `FunctionSpec` used in `Function`.Represents `FunctionSpec` used in `Function`.Whether the function should be compiled by XLA.Protobuf typetensorflow.SaveableObjectProtobuf typetensorflow.SaveableObjectA SavedAsset points to an asset in the MetaGraph.A SavedAsset points to an asset in the MetaGraph.Protobuf typetensorflow.SavedBareConcreteFunctionProtobuf typetensorflow.SavedBareConcreteFunctionStores low-level information about a concrete function.Stores low-level information about a concrete function.Protobuf typetensorflow.SavedConstantProtobuf typetensorflow.SavedConstantA function with multiple signatures, possibly with non-Tensor arguments.A function with multiple signatures, possibly with non-Tensor arguments.Protobuf typetensorflow.SavedObjectProtobuf typetensorflow.SavedObjectProtobuf typetensorflow.SavedObjectGraphProtobuf typetensorflow.SavedObjectGraphA SavedResource represents a TF object that holds state during its lifetime.A SavedResource represents a TF object that holds state during its lifetime.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.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.Represents a Variable that is initialized by loading the contents from the checkpoint.Represents a Variable that is initialized by loading the contents from the checkpoint.Saved tensor slice: it stores the name of the tensors, the slice, and the raw data.Saved tensor slice: it stores the name of the tensors, the slice, and the raw data.Metadata describing the set of slices of the same tensor saved in a checkpoint file.Metadata describing the set of slices of the same tensor saved in a checkpoint file.Metadata describing the set of tensor slices saved in a checkpoint file.Metadata describing the set of tensor slices saved in a checkpoint file.Each record in a v3 checkpoint file is a serialized SavedTensorSlices message.Each record in a v3 checkpoint file is a serialized SavedTensorSlices message.Protocol buffer representing the configuration of a Saver.Protocol buffer representing the configuration of a Saver.A version number that identifies a different on-disk checkpoint format.Protobuf typetensorflow.SaveSliceInfoDefProtobuf typetensorflow.SaveSliceInfoDefProtobuf typetensorflow.ScopedAllocatorOptionsProtobuf typetensorflow.ScopedAllocatorOptionsProtobuf typetensorflow.SequenceExampleProtobuf typetensorflow.SequenceExampleRepresents a serialized tf.dtypes.DtypeRepresents a serialized tf.dtypes.DtypeDefines the configuration of a single TensorFlow server.Defines the configuration of a single TensorFlow server.Protocol buffer used for logging session state.Protocol buffer used for logging session state.Protobuf enumtensorflow.SessionLog.SessionStatusMetadata about the session.Metadata about the session.SignatureDef defines the signature of a computation supported by a TensorFlow graph.SignatureDef defines the signature of a computation supported by a TensorFlow graph.Content of a source file involved in the execution of the debugged TensorFlow program.Content of a source file involved in the execution of the debugged TensorFlow program.Holds the information of the source that writes the events.Holds the information of the source that writes the events.A stack frame with ID.A stack frame with ID.Wire-format for Status.Wire-format for Status.Protobuf typetensorflow.StepStatsProtobuf typetensorflow.StepStatsA protobuf to represent tf.BoundedTensorSpec.A protobuf to represent tf.BoundedTensorSpec.Represents a Python dict keyed by `str`.Represents a Python dict keyed by `str`.Represents a Python list.Represents a Python list.Represents Python's namedtuple.Represents Python's namedtuple.Represents None.Represents None.Represents a (key, value) pair.Represents a (key, value) pair.`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.`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.A protobuf to represent tf.TensorSpec.A protobuf to represent tf.TensorSpec.Represents a Python tuple.Represents a Python tuple.Represents a tf.TypeSpecRepresents a tf.TypeSpecProtobuf enumtensorflow.TypeSpecProto.TypeSpecClassA Summary is a set of named values to be displayed by the visualizer.Protobuf typetensorflow.Summary.AudioProtobuf typetensorflow.Summary.AudioA Summary is a set of named values to be displayed by the visualizer.Protobuf typetensorflow.Summary.ImageProtobuf typetensorflow.Summary.ImageProtobuf typetensorflow.Summary.ValueProtobuf typetensorflow.Summary.ValueMetadata associated with a series of Summary dataMetadata associated with a series of Summary dataA SummaryMetadata encapsulates information on which plugins are able to make use of a certain summary value.A SummaryMetadata encapsulates information on which plugins are able to make use of a certain summary value.Protobuf typetensorflow.SummaryMetadata.PluginDataProtobuf typetensorflow.SummaryMetadata.PluginDataFor logging the metadata output for a single session.run() call.For logging the metadata output for a single session.run() call.Defines the device filters for a remote task.Defines the device filters for a remote task.Defines a connection between two tensors in a `GraphDef`.Defines a connection between two tensors in a `GraphDef`.Available modes for extracting debugging information from a Tensor.Protobuf typetensorflow.TensorDescriptionProtobuf typetensorflow.TensorDescriptionInformation about a Tensor necessary for feeding or retrieval.Information about a Tensor necessary for feeding or retrieval.Generic encoding for composite tensors.Generic encoding for composite tensors.For sparse tensors, The COO encoding stores a triple of values, indices, and shape.For sparse tensors, The COO encoding stores a triple of values, indices, and shape.Protocol buffer representing a tensor.Protocol buffer representing a tensor.Dimensions of a tensor.Dimensions of a tensor.One dimension of the tensor.One dimension of the tensor.Can only be interpreted if you know the corresponding TensorShape.Can only be interpreted if you know the corresponding TensorShape.Extent of the slice in one dimension.Extent of the slice in one dimension.The output of one benchmark / test run.The type of benchmark.The output of one benchmark / test run.Protobuf typetensorflow.ThreadPoolOptionProtoProtobuf typetensorflow.ThreadPoolOptionProtoProtobuf typetensorflow.RegisteredSaverProtobuf typetensorflow.RegisteredSaverProtobuf typetensorflow.TrackableObjectGraphProtobuf typetensorflow.TrackableObjectGraphProtobuf typetensorflow.TrackableObjectGraph.TrackableObjectProtobuf typetensorflow.TrackableObjectGraph.TrackableObjectProtobuf typetensorflow.TrackableObjectGraph.TrackableObject.ObjectReferenceProtobuf typetensorflow.TrackableObjectGraph.TrackableObject.ObjectReferenceProtobuf typetensorflow.TrackableObjectGraph.TrackableObject.SerializedTensorProtobuf typetensorflow.TrackableObjectGraph.TrackableObject.SerializedTensorProtobuf typetensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReferenceProtobuf typetensorflow.TrackableObjectGraph.TrackableObject.SlotVariableReferenceExtra data needed on a non-RDMA RecvBufResponse.Extra data needed on a non-RDMA RecvBufResponse.Describes the dimension numbers for Convolution op.Describes the dimension numbers for Convolution op.Protocol buffer representing the values in ControlFlowContext.Protocol buffer representing the values in ControlFlowContext.Indicates how a distributed variable will be aggregated.Protocol buffer representing a Variable.Protocol buffer representing a Variable.Indicates when a distributed variable will be synced.Protocol buffer representing the serialization format of DT_VARIANT tensors.Protocol buffer representing the serialization format of DT_VARIANT tensors.Protobuf typetensorflow.VarLenFeatureProtoProtobuf typetensorflow.VarLenFeatureProtoThe config for graph verifiers.The config for graph verifiers.Protobuf enumtensorflow.VerifierConfig.ToggleVersion 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.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.Protobuf typetensorflow.WatchdogConfigProtobuf typetensorflow.WatchdogConfigProtocol buffer representing a WhileContext object.Protocol buffer representing a WhileContext object.Current health status of a worker.Protobuf typetensorflow.WorkerHeartbeatRequestProtobuf typetensorflow.WorkerHeartbeatRequestProtobuf typetensorflow.WorkerHeartbeatResponseProtobuf typetensorflow.WorkerHeartbeatResponseIndicates the behavior of the worker when an internal error or shutdown signal is received. -
Classes in org.tensorflow.proto used by org.tensorflow.proto.coreClassDescription(== suppress_warning documentation-presence ==) LINT.IfChangeHighly experimental and very likely to change.Highly experimental and very likely to change.Dimensions of a tensor.Dimensions of a tensor.
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Classes in org.tensorflow.proto used by org.tensorflow.proto.dataClassDescription(== suppress_warning documentation-presence ==) LINT.IfChangeProtocol buffer representing a tensor.Protocol buffer representing a tensor.Dimensions of a tensor.Dimensions of a tensor.
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Classes in org.tensorflow.proto used by org.tensorflow.proto.data.experimentalClassDescription(== suppress_warning documentation-presence ==) LINT.IfChangeProtocol buffer representing a tensor.Protocol buffer representing a tensor.Dimensions of a tensor.Dimensions of a tensor.
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Classes in org.tensorflow.proto used by org.tensorflow.proto.eagerClassDescription(== suppress_warning documentation-presence ==) LINT.IfChangeDimensions of a tensor.Dimensions of a tensor.