Uses of Class
org.tensorflow.ndarray.Shape

Packages that use Shape

Package	Description
org.tensorflow	Defines classes to build, save, load and execute TensorFlow models.
org.tensorflow.framework.data
org.tensorflow.framework.utils
org.tensorflow.ndarray
org.tensorflow.ndarray.impl.dense
org.tensorflow.ndarray.impl.dimension
org.tensorflow.ndarray.impl.sparse
org.tensorflow.ndarray.impl.sparse.slice
org.tensorflow.op
org.tensorflow.op.core
org.tensorflow.op.data
org.tensorflow.op.data.experimental
org.tensorflow.op.distribute
org.tensorflow.op.io
org.tensorflow.op.math
org.tensorflow.op.sparse
org.tensorflow.op.tpu
org.tensorflow.op.train
org.tensorflow.op.xla
org.tensorflow.types	Defines classes that represent TensorFlow tensor types.

Uses of Shape in org.tensorflow

Fields in org.tensorflow declared as Shape

Modifier and Type	Field	Description
final Shape	Signature.TensorDescription.shape	The shape of the tensor

Methods in org.tensorflow that return Shape

Modifier and Type	Method	Description
Shape	OperationAttributeInspector.getAttrShape(String name)	Get the value of a shape attribute of this operation.
Shape[]	OperationAttributeInspector.getAttrShapeList(String name)	Get the value of a shape list attribute of this operation.
default Shape	Operand.shape()	Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
Shape	Output.shape()	Returns the (possibly partially known) shape of the tensor referred to by this output.
Shape	RawTensor.shape()
Shape	Tensor.shape()	Returns the shape of the tensor.

Methods in org.tensorflow with parameters of type Shape

Modifier and Type	Method	Description
static <T extends TType> T	Tensor.of(Class<T> type, Shape shape)	Allocates a tensor of a given datatype and shape.
static <T extends TType> T	Tensor.of(Class<T> type, Shape shape, long size)	Allocates a tensor of a given datatype, shape and size.
static <T extends TType> T	Tensor.of(Class<T> type, Shape shape, long size, Consumer<T> dataInitializer)	Allocates a tensor of a given datatype, shape and size.
static <T extends TType> T	Tensor.of(Class<T> type, Shape shape, Consumer<T> dataInitializer)	Allocates and initialize a tensor of a given datatype and shape.
static <T extends TType> T	Tensor.of(Class<T> type, Shape shape, ByteDataBuffer rawData)	Creates a Tensor of any type from the raw data provided by the given buffer.
GraphOperationBuilder	GraphOperationBuilder.setAttr(String name, Shape value)
GraphOperationBuilder	GraphOperationBuilder.setAttr(String name, Shape[] value)
OperationBuilder	OperationBuilder.setAttr(String name, Shape value)	Set the shape value of an attribute of the operation being built.
OperationBuilder	OperationBuilder.setAttr(String name, Shape[] value)	Set the shape values of an attribute of the operation being built.

Constructors in org.tensorflow with parameters of type Shape

Modifier	Constructor	Description
	TensorDescription(DataType dataType, Shape shape, String name)

Uses of Shape in org.tensorflow.framework.data

Fields in org.tensorflow.framework.data with type parameters of type Shape

Modifier and Type	Field	Description
protected List<Shape>	DatasetIterator.outputShapes

Methods in org.tensorflow.framework.data that return types with arguments of type Shape

Modifier and Type	Method	Description
List<Shape>	Dataset.getOutputShapes()	Gets a list of shapes for each component of this dataset.

Uses of Shape in org.tensorflow.framework.utils

Methods in org.tensorflow.framework.utils that return Shape

Modifier and Type	Method	Description
static Shape	ShapeUtils.reduce(Shape shape, int axis)	Reduces the shape by eliminating trailing Dimensions.
static <T extends TIntegral> Shape	ShapeUtils.toShape(Scope scope, Operand<T> dims)	Converts a shape operand to a Shape object

Methods in org.tensorflow.framework.utils with parameters of type Shape

Modifier and Type	Method	Description
static Shape	ShapeUtils.reduce(Shape shape, int axis)	Reduces the shape by eliminating trailing Dimensions.

Uses of Shape in org.tensorflow.ndarray

Methods in org.tensorflow.ndarray that return Shape

Modifier and Type	Method	Description
Shape	Shape.append(long lastDimension)	Returns a new Shape, with a new last dimension added.
Shape	Shape.append(Shape other)	Returns a new Shape, with another Shapes' dimensions appended.
Shape	Shape.head()	Returns a 1-dimensional Shape with first dimension matching the first dimension of this Shape.
static Shape	Shape.of(long... dimensionSizes)	Create a Shape representing a scalar or an N-dimensional value.
Shape	Shape.prepend(long firstDimension)	Returns a new Shape, with a new first dimension added.
Shape	Shape.prepend(Shape other)	Returns a new Shape, with another Shape's dimensions prepended.
static Shape	Shape.scalar()	Creates a Shape representing a scalar value.
Shape	Shaped.shape()
static Shape	StdArrays.shapeOf(boolean[] array)	Compute the shape of a boolean array.
static Shape	StdArrays.shapeOf(boolean[][] array)	Compute the shape of a 2-dimensional boolean array.
static Shape	StdArrays.shapeOf(boolean[][][] array)	Compute the shape of a 3-dimensional boolean array.
static Shape	StdArrays.shapeOf(boolean[][][][] array)	Compute the shape of a 4-dimensional boolean array.
static Shape	StdArrays.shapeOf(boolean[][][][][] array)	Compute the shape of a 5-dimensional boolean array.
static Shape	StdArrays.shapeOf(boolean[][][][][][] array)	Compute the shape of a 6-dimensional boolean array.
static Shape	StdArrays.shapeOf(byte[] array)	Compute the shape of a byte array.
static Shape	StdArrays.shapeOf(byte[][] array)	Compute the shape of a 2-dimensional byte array.
static Shape	StdArrays.shapeOf(byte[][][] array)	Compute the shape of a 3-dimensional byte array.
static Shape	StdArrays.shapeOf(byte[][][][] array)	Compute the shape of a 4-dimensional byte array.
static Shape	StdArrays.shapeOf(byte[][][][][] array)	Compute the shape of a 5-dimensional byte array.
static Shape	StdArrays.shapeOf(byte[][][][][][] array)	Compute the shape of a 6-dimensional byte array.
static Shape	StdArrays.shapeOf(double[] array)	Compute the shape of a double array.
static Shape	StdArrays.shapeOf(double[][] array)	Compute the shape of a 2-dimensional double array.
static Shape	StdArrays.shapeOf(double[][][] array)	Compute the shape of a 3-dimensional double array.
static Shape	StdArrays.shapeOf(double[][][][] array)	Compute the shape of a 4-dimensional double array.
static Shape	StdArrays.shapeOf(double[][][][][] array)	Compute the shape of a 5-dimensional double array.
static Shape	StdArrays.shapeOf(double[][][][][][] array)	Compute the shape of a 6-dimensional double array.
static Shape	StdArrays.shapeOf(float[] array)	Compute the shape of a float array.
static Shape	StdArrays.shapeOf(float[][] array)	Compute the shape of a 2-dimensional float array.
static Shape	StdArrays.shapeOf(float[][][] array)	Compute the shape of a 3-dimensional float array.
static Shape	StdArrays.shapeOf(float[][][][] array)	Compute the shape of a 4-dimensional float array.
static Shape	StdArrays.shapeOf(float[][][][][] array)	Compute the shape of a 5-dimensional float array.
static Shape	StdArrays.shapeOf(float[][][][][][] array)	Compute the shape of a 6-dimensional float array.
static Shape	StdArrays.shapeOf(int[] array)	Compute the shape of an int array.
static Shape	StdArrays.shapeOf(int[][] array)	Compute the shape of a 2-dimensional int array.
static Shape	StdArrays.shapeOf(int[][][] array)	Compute the shape of a 3-dimensional int array.
static Shape	StdArrays.shapeOf(int[][][][] array)	Compute the shape of a 4-dimensional int array.
static Shape	StdArrays.shapeOf(int[][][][][] array)	Compute the shape of a 5-dimensional int array.
static Shape	StdArrays.shapeOf(int[][][][][][] array)	Compute the shape of a 6-dimensional int array.
static Shape	StdArrays.shapeOf(long[] array)	Compute the shape of a long array.
static Shape	StdArrays.shapeOf(long[][] array)	Compute the shape of a 2-dimensional long array.
static Shape	StdArrays.shapeOf(long[][][] array)	Compute the shape of a 3-dimensional long array.
static Shape	StdArrays.shapeOf(long[][][][] array)	Compute the shape of a 4-dimensional long array.
static Shape	StdArrays.shapeOf(long[][][][][] array)	Compute the shape of a 5-dimensional long array.
static Shape	StdArrays.shapeOf(long[][][][][][] array)	Compute the shape of a 6-dimensional long array.
static Shape	StdArrays.shapeOf(short[] array)	Compute the shape of a short array.
static Shape	StdArrays.shapeOf(short[][] array)	Compute the shape of a 2-dimensional short array.
static Shape	StdArrays.shapeOf(short[][][] array)	Compute the shape of a 3-dimensional short array.
static Shape	StdArrays.shapeOf(short[][][][] array)	Compute the shape of a 4-dimensional short array.
static Shape	StdArrays.shapeOf(short[][][][][] array)	Compute the shape of a 5-dimensional short array.
static Shape	StdArrays.shapeOf(short[][][][][][] array)	Compute the shape of a 6-dimensional short array.
static <T> Shape	StdArrays.shapeOf(T[] array)	Compute the shape of an object array.
static <T> Shape	StdArrays.shapeOf(T[][] array)	Compute the shape of a 2-dimensional object array.
static <T> Shape	StdArrays.shapeOf(T[][][] array)	Compute the shape of a 3-dimensional object array.
static <T> Shape	StdArrays.shapeOf(T[][][][] array)	Compute the shape of a 4-dimensional object array.
static <T> Shape	StdArrays.shapeOf(T[][][][][] array)	Compute the shape of a 5-dimensional object array.
static <T> Shape	StdArrays.shapeOf(T[][][][][][] array)	Compute the shape of a 6-dimensional object array.
Shape	Shape.subShape(int begin, int end)	Return a end - begin dimensional shape with dimensions matching this Shape from begin to end.
Shape	Shape.tail()	Returns a new Shape, with this Shape's first dimension removed.
Shape	Shape.take(int n)	Returns an n-dimensional Shape with the dimensions matching the first n dimensions of this shape
Shape	Shape.takeLast(int n)	Returns an n-dimensional Shape with the dimensions matching the last n dimensions of this Shape.
static Shape	Shape.unknown()	Creates a Shape representing an unknown number of dimensions.

Methods in org.tensorflow.ndarray with parameters of type Shape

Modifier and Type	Method	Description
Shape	Shape.append(Shape other)	Returns a new Shape, with another Shapes' dimensions appended.
boolean	Shape.isCompatibleWith(Shape shape)	Determines whether another shape is compatible with this one.
static BooleanNdArray	NdArrays.ofBooleans(Shape shape)	Creates an N-dimensional array of booleans of the given shape.
static ByteNdArray	NdArrays.ofBytes(Shape shape)	Creates an N-dimensional array of bytes of the given shape.
static DoubleNdArray	NdArrays.ofDoubles(Shape shape)	Creates an N-dimensional array of doubles of the given shape.
static FloatNdArray	NdArrays.ofFloats(Shape shape)	Creates an N-dimensional array of floats of the given shape.
static IntNdArray	NdArrays.ofInts(Shape shape)	Creates an N-dimensional array of ints of the given shape.
static LongNdArray	NdArrays.ofLongs(Shape shape)	Creates an N-dimensional array of longs of the given shape.
static <T> NdArray<T>	NdArrays.ofObjects(Class<T> clazz, Shape shape)	Creates an N-dimensional array of the given shape.
static ShortNdArray	NdArrays.ofShorts(Shape shape)	Creates an N-dimensional array of shorts of the given shape.
Shape	Shape.prepend(Shape other)	Returns a new Shape, with another Shape's dimensions prepended.
static BooleanSparseNdArray	NdArrays.sparseOf(LongNdArray indices, BooleanNdArray values, boolean defaultValue, Shape shape)	Creates a Sparse array of boolean values
static BooleanSparseNdArray	NdArrays.sparseOf(LongNdArray indices, BooleanNdArray values, Shape shape)	Creates a Sparse array of boolean values with a default value of 'false'
static ByteSparseNdArray	NdArrays.sparseOf(LongNdArray indices, ByteNdArray values, byte defaultValue, Shape shape)	Creates a Sparse array of byte values
static ByteSparseNdArray	NdArrays.sparseOf(LongNdArray indices, ByteNdArray values, Shape shape)	Creates a Sparse array of byte values with a default value of zero
static DoubleSparseNdArray	NdArrays.sparseOf(LongNdArray indices, DoubleNdArray values, double defaultValue, Shape shape)	Creates a Sparse array of double values
static DoubleSparseNdArray	NdArrays.sparseOf(LongNdArray indices, DoubleNdArray values, Shape shape)	Creates a Sparse array of double values with a default value of zero
static FloatSparseNdArray	NdArrays.sparseOf(LongNdArray indices, FloatNdArray values, float defaultValue, Shape shape)	Creates a Sparse array of float values
static FloatSparseNdArray	NdArrays.sparseOf(LongNdArray indices, FloatNdArray values, Shape shape)	Creates a Sparse array of float values with a default value of zero
static IntSparseNdArray	NdArrays.sparseOf(LongNdArray indices, IntNdArray values, int defaultValue, Shape shape)	Creates a Sparse array of int values
static IntSparseNdArray	NdArrays.sparseOf(LongNdArray indices, IntNdArray values, Shape shape)	Creates a Sparse array of int values with a default value of zero.
static LongSparseNdArray	NdArrays.sparseOf(LongNdArray indices, LongNdArray values, long defaultValue, Shape shape)	Creates a Sparse array of long values with a default value of zero
static LongSparseNdArray	NdArrays.sparseOf(LongNdArray indices, LongNdArray values, Shape shape)	Creates a Sparse array of long values with a default value of zero
static ShortSparseNdArray	NdArrays.sparseOf(LongNdArray indices, ShortNdArray values, short defaultValue, Shape shape)	Creates a Sparse array of short values
static ShortSparseNdArray	NdArrays.sparseOf(LongNdArray indices, ShortNdArray values, Shape shape)	Creates a Sparse array of short values with a default value of zero
static <T> NdArray<T>	NdArrays.sparseOfObjects(Class<T> type, LongNdArray indices, NdArray<T> values, Shape shape)	Creates a Sparse array of values with a null default value
static <T> NdArray<T>	NdArrays.sparseOfObjects(Class<T> type, LongNdArray indices, NdArray<T> values, T defaultValue, Shape shape)	Creates a Sparse array of values
BooleanNdArray	BooleanNdArray.withShape(Shape shape)
ByteNdArray	ByteNdArray.withShape(Shape shape)
DoubleNdArray	DoubleNdArray.withShape(Shape shape)
FloatNdArray	FloatNdArray.withShape(Shape shape)
IntNdArray	IntNdArray.withShape(Shape shape)
LongNdArray	LongNdArray.withShape(Shape shape)
NdArray<T>	NdArray.withShape(Shape shape)	Returns a new N-dimensional view of this array with the given shape.
ShortNdArray	ShortNdArray.withShape(Shape shape)
static BooleanNdArray	NdArrays.wrap(Shape shape, BooleanDataBuffer buffer)	Wraps a buffer in a boolean N-dimensional array of a given shape.
static ByteNdArray	NdArrays.wrap(Shape shape, ByteDataBuffer buffer)	Wraps a buffer in a byte N-dimensional array of a given shape.
static <T> NdArray<T>	NdArrays.wrap(Shape shape, DataBuffer<T> buffer)	Wraps a buffer in an N-dimensional array of a given shape.
static DoubleNdArray	NdArrays.wrap(Shape shape, DoubleDataBuffer buffer)	Wraps a buffer in a double N-dimensional array of a given shape.
static FloatNdArray	NdArrays.wrap(Shape shape, FloatDataBuffer buffer)	Wraps a buffer in a float N-dimensional array of a given shape.
static IntNdArray	NdArrays.wrap(Shape shape, IntDataBuffer buffer)	Wraps a buffer in an int N-dimensional array of a given shape.
static LongNdArray	NdArrays.wrap(Shape shape, LongDataBuffer buffer)	Wraps a buffer in a long N-dimensional array of a given shape.
static ShortNdArray	NdArrays.wrap(Shape shape, ShortDataBuffer buffer)	Wraps a buffer in a short N-dimensional array of a given shape.

Uses of Shape in org.tensorflow.ndarray.impl.dense

Methods in org.tensorflow.ndarray.impl.dense with parameters of type Shape

Modifier and Type	Method	Description
static BooleanNdArray	BooleanDenseNdArray.create(BooleanDataBuffer buffer, Shape shape)
static ByteNdArray	ByteDenseNdArray.create(ByteDataBuffer buffer, Shape shape)
static DoubleNdArray	DoubleDenseNdArray.create(DoubleDataBuffer buffer, Shape shape)
static FloatNdArray	FloatDenseNdArray.create(FloatDataBuffer buffer, Shape shape)
static IntNdArray	IntDenseNdArray.create(IntDataBuffer buffer, Shape shape)
static LongNdArray	LongDenseNdArray.create(LongDataBuffer buffer, Shape shape)
static ShortNdArray	ShortDenseNdArray.create(ShortDataBuffer buffer, Shape shape)
U	AbstractDenseNdArray.withShape(Shape shape)
static <T> NdArray<T>	DenseNdArray.wrap(DataBuffer<T> buffer, Shape shape)

Constructors in org.tensorflow.ndarray.impl.dense with parameters of type Shape

Modifier	Constructor	Description
protected	BooleanDenseNdArray(BooleanDataBuffer buffer, Shape shape)
protected	ByteDenseNdArray(ByteDataBuffer buffer, Shape shape)
protected	DenseNdArray(DataBuffer<T> buffer, Shape shape)
protected	DoubleDenseNdArray(DoubleDataBuffer buffer, Shape shape)
protected	FloatDenseNdArray(FloatDataBuffer buffer, Shape shape)
protected	IntDenseNdArray(IntDataBuffer buffer, Shape shape)
protected	LongDenseNdArray(LongDataBuffer buffer, Shape shape)
protected	ShortDenseNdArray(ShortDataBuffer buffer, Shape shape)

Uses of Shape in org.tensorflow.ndarray.impl.dimension

Methods in org.tensorflow.ndarray.impl.dimension that return Shape

Modifier and Type	Method	Description
Shape	DimensionalSpace.shape()

Methods in org.tensorflow.ndarray.impl.dimension with parameters of type Shape

Modifier and Type	Method	Description
static DimensionalSpace	DimensionalSpace.create(Shape shape)

Uses of Shape in org.tensorflow.ndarray.impl.sparse

Methods in org.tensorflow.ndarray.impl.sparse with parameters of type Shape

Modifier and Type	Method	Description
static BooleanSparseNdArray	BooleanSparseNdArray.create(BooleanDataBuffer buffer, boolean defaultValue, Shape shape)	Creates a new empty BooleanSparseNdArray from a float data buffer
static BooleanSparseNdArray	BooleanSparseNdArray.create(BooleanDataBuffer buffer, Shape shape)	Creates a new empty BooleanSparseNdArray from a float data buffer
static ByteSparseNdArray	ByteSparseNdArray.create(ByteDataBuffer buffer, byte defaultValue, Shape shape)	Creates a new empty ByteSparseNdArray from a float data buffer
static ByteSparseNdArray	ByteSparseNdArray.create(ByteDataBuffer buffer, Shape shape)	Creates a new empty ByteSparseNdArray from a float data buffer
static DoubleSparseNdArray	DoubleSparseNdArray.create(DoubleDataBuffer buffer, double defaultValue, Shape shape)	Creates a new empty DoubleSparseNdArray from a double data buffer
static DoubleSparseNdArray	DoubleSparseNdArray.create(DoubleDataBuffer buffer, Shape shape)	Creates a new empty DoubleSparseNdArray from a double data buffer
static FloatSparseNdArray	FloatSparseNdArray.create(FloatDataBuffer buffer, float defaultValue, Shape shape)	Creates a new empty FloatSparseNdArray from a float data buffer
static FloatSparseNdArray	FloatSparseNdArray.create(FloatDataBuffer buffer, Shape shape)	Creates a new empty FloatSparseNdArray from a float data buffer
static IntSparseNdArray	IntSparseNdArray.create(int defaultValue, Shape shape)	Creates a new empty IntSparseNdArray from a data buffer
static IntSparseNdArray	IntSparseNdArray.create(IntDataBuffer buffer, int defaultValue, Shape shape)	Creates a new empty IntSparseNdArray from a int data buffer
static IntSparseNdArray	IntSparseNdArray.create(IntDataBuffer buffer, Shape shape)	Creates a new empty IntSparseNdArray from a int data buffer
static IntSparseNdArray	IntSparseNdArray.create(Shape shape)	Creates a new empty IntSparseNdArray from a data buffer
static LongSparseNdArray	LongSparseNdArray.create(LongDataBuffer buffer, long defaultValue, Shape shape)	Creates a new empty LongSparseNdArray from a long data buffer
static LongSparseNdArray	LongSparseNdArray.create(LongDataBuffer buffer, Shape shape)	Creates a new empty LongSparseNdArray from a long data buffer
static ShortSparseNdArray	ShortSparseNdArray.create(ShortDataBuffer buffer, short defaultValue, Shape shape)	Creates a new empty ShortSparseNdArray from a short data buffer
static ShortSparseNdArray	ShortSparseNdArray.create(ShortDataBuffer buffer, Shape shape)	Creates a new empty ShortSparseNdArray from a short data buffer
static <T, U extends NdArray<T>> SparseNdArray<T,U>	SparseNdArray.create(Class<T> type, DataBuffer<T> buffer, Shape shape)	Creates a new empty SparseNdArray from a float data buffer
static <T, U extends NdArray<T>> SparseNdArray<T,U>	SparseNdArray.create(Class<T> type, DataBuffer<T> buffer, T defaultValue, Shape shape)	Creates a new empty SparseNdArray from a float data buffer
abstract U	AbstractSparseNdArray.createValues(Shape shape)	Creates a dense array of the type that this sparse array represents.
BooleanNdArray	BooleanSparseNdArray.createValues(Shape shape)	Creates a BooleanNdArray of the specified shape
ByteNdArray	ByteSparseNdArray.createValues(Shape shape)	Creates a ByteNdArray of the specified shape
DoubleNdArray	DoubleSparseNdArray.createValues(Shape shape)	Creates a DoubleNdArray of the specified shape
FloatNdArray	FloatSparseNdArray.createValues(Shape shape)	Creates a FloatNdArray of the specified shape
IntNdArray	IntSparseNdArray.createValues(Shape shape)	Creates a IntNdArray of the specified shape
LongNdArray	LongSparseNdArray.createValues(Shape shape)	Creates a LongNdArray of the specified shape
ShortNdArray	ShortSparseNdArray.createValues(Shape shape)	Creates a ShortNdArray of the specified shape
U	SparseNdArray.createValues(Shape shape)	Creates a NdArray of the specified shape
U	AbstractSparseNdArray.withShape(Shape shape)

Uses of Shape in org.tensorflow.ndarray.impl.sparse.slice

Methods in org.tensorflow.ndarray.impl.sparse.slice with parameters of type Shape

Modifier and Type	Method	Description
U	SparseSlice.createValues(Shape shape)	Creates a dense array of the type that this sparse array represents.

Uses of Shape in org.tensorflow.op

Methods in org.tensorflow.op with parameters of type Shape

Modifier and Type	Method	Description
<T extends TType> AccumulateN<T>	MathOps.accumulateN(Iterable<Operand<T>> inputs, Shape shape)	Returns the element-wise sum of a list of tensors.
<T extends TType> ConditionalAccumulator	TrainOps.conditionalAccumulator(Class<T> dtype, Shape shape, ConditionalAccumulator.Options... options)	A conditional accumulator for aggregating gradients.
<T extends TType> Constant<T>	Ops.constant(Class<T> type, Shape shape, ByteDataBuffer data)	Create a constant with data from the given buffer.
Constant<TString>	Ops.constant(Charset charset, Shape shape, DataBuffer<String> data)	Create a TString constant with data from the given buffer, using the given encoding.
Constant<TInt64>	Ops.constant(Shape shape)	Creates a rank-1 constant of long elements representing the size of each dimensions of the given shape.
Constant<TBool>	Ops.constant(Shape shape, BooleanDataBuffer data)	Create a TBool constant with data from the given buffer.
Constant<TUint8>	Ops.constant(Shape shape, ByteDataBuffer data)	Create a TUint8 constant with data from the given buffer.
Constant<TString>	Ops.constant(Shape shape, DataBuffer<String> data)	Create a TString constant with data from the given buffer, using the default UTF-8 encoding.
Constant<TFloat64>	Ops.constant(Shape shape, DoubleDataBuffer data)	Create a TFloat64 constant with data from the given buffer.
Constant<TFloat32>	Ops.constant(Shape shape, FloatDataBuffer data)	Create a TFloat32 constant with data from the given buffer.
Constant<TInt32>	Ops.constant(Shape shape, IntDataBuffer data)	Create a TInt32 constant with data from the given buffer.
Constant<TInt64>	Ops.constant(Shape shape, LongDataBuffer data)	Create a TInt64 constant with data from the given buffer.
<T extends TType> EnsureShape<T>	Ops.ensureShape(Operand<T> input, Shape shape)	Ensures that the tensor's shape matches the expected shape.
<T extends TType> FakeParam<T>	Ops.fakeParam(Class<T> dtype, Shape shape)	This op is used as a placeholder in If branch functions.
<T extends TType> ImmutableConst<T>	Ops.immutableConst(Class<T> dtype, Shape shape, String memoryRegionName)	Returns immutable tensor from memory region.
<T extends TType> InfeedDequeue<T>	TpuOps.infeedDequeue(Class<T> dtype, Shape shape)	A placeholder op for a value that will be fed into the computation.
<T extends TNumber> NcclBroadcast<T>	DistributeOps.ncclBroadcast(Operand<T> input, Shape shape)	Sends input to all devices that are connected to the output.
<T extends TNumber> NcclBroadcast<T>	Ops.ncclBroadcast(Operand<T> input, Shape shape)	Deprecated. use NcclBroadcast instead
<T extends TType> OutfeedDequeue<T>	TpuOps.outfeedDequeue(Class<T> dtype, Shape shape, OutfeedDequeue.Options... options)	Retrieves a single tensor from the computation outfeed.
<T extends TType> OutfeedDequeueV2<T>	TpuOps.outfeedDequeueV2(Operand<TInt32> deviceOrdinal, Class<T> dtype, Shape shape)	Retrieves a single tensor from the computation outfeed.
<T extends TType> ParallelConcat<T>	Ops.parallelConcat(Iterable<Operand<T>> values, Shape shape)	Concatenates a list of N tensors along the first dimension.
<T extends TType> PlaceholderWithDefault<T>	Ops.placeholderWithDefault(Operand<T> input, Shape shape)	A placeholder op that passes through input when its output is not fed.
<T extends TType> ResourceConditionalAccumulator	TrainOps.resourceConditionalAccumulator(Class<T> dtype, Shape shape, ResourceConditionalAccumulator.Options... options)	A conditional accumulator for aggregating gradients.
<T extends TType> SparseConditionalAccumulator	SparseOps.sparseConditionalAccumulator(Class<T> dtype, Shape shape, SparseConditionalAccumulator.Options... options)	A conditional accumulator for aggregating sparse gradients.
<T extends TType> TemporaryVariable<T>	Ops.temporaryVariable(Shape shape, Class<T> dtype, TemporaryVariable.Options... options)	Returns a tensor that may be mutated, but only persists within a single step.
<T extends TType> VarHandleOp	Ops.varHandleOp(Class<T> dtype, Shape shape, VarHandleOp.Options... options)	Creates a handle to a Variable resource.
<T extends TType> Variable<T>	Ops.variable(Shape shape, Class<T> dtype, Variable.Options... options)	Holds state in the form of a tensor that persists across steps.
<T extends TType> XlaRecvFromHost<T>	XlaOps.xlaRecvFromHost(Class<T> Toutput, Shape shape, String key)	An op to receive a tensor from the host.

Method parameters in org.tensorflow.op with type arguments of type Shape

Modifier and Type	Method	Description
CSVDataset	DataExperimentalOps.cSVDataset(Operand<TString> filenames, Operand<TString> compressionType, Operand<TInt64> bufferSize, Operand<TBool> header, Operand<TString> fieldDelim, Operand<TBool> useQuoteDelim, Operand<TString> naValue, Operand<TInt64> selectCols, Iterable<Operand<?>> recordDefaults, List<Shape> outputShapes)	The ExperimentalCSVDataset operation
CSVDataset	DataOps.cSVDataset(Operand<TString> filenames, Operand<TString> compressionType, Operand<TInt64> bufferSize, Operand<TBool> header, Operand<TString> fieldDelim, Operand<TBool> useQuoteDelim, Operand<TString> naValue, Operand<TInt64> selectCols, Iterable<Operand<?>> recordDefaults, Operand<TInt64> excludeCols, List<Shape> outputShapes)	The CSVDatasetV2 operation
DTensorRestore	TpuOps.dTensorRestore(Operand<TString> prefix, Operand<TString> tensorNames, Operand<TString> shapeAndSlices, List<Shape> inputShapes, List<String> inputLayouts, List<Class<? extends TType>> dtypes)	The DTensorRestoreV2 operation
InfeedEnqueueTuple	TpuOps.infeedEnqueueTuple(Iterable<Operand<?>> inputs, List<Shape> shapes, InfeedEnqueueTuple.Options... options)	Feeds multiple Tensor values into the computation as an XLA tuple.
PaddedBatchDataset	DataOps.paddedBatchDataset(Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Iterable<Operand<TInt64>> paddedShapes, Iterable<Operand<?>> paddingValues, Operand<TBool> dropRemainder, List<Shape> outputShapes, PaddedBatchDataset.Options... options)	Creates a dataset that batches and pads batch_size elements from the input.
PrelinearizeTuple	TpuOps.prelinearizeTuple(Iterable<Operand<?>> inputs, List<Shape> shapes, PrelinearizeTuple.Options... options)	An op which linearizes multiple Tensor values to an opaque variant tensor.
TensorDataset	DataOps.tensorDataset(Iterable<Operand<?>> components, List<Shape> outputShapes, TensorDataset.Options... options)	Creates a dataset that emits components as a tuple of tensors once.
TensorSliceDataset	DataOps.tensorSliceDataset(Iterable<Operand<?>> components, List<Shape> outputShapes, TensorSliceDataset.Options... options)	Creates a dataset that emits each dim-0 slice of components once.

Uses of Shape in org.tensorflow.op.core

Fields in org.tensorflow.op.core declared as Shape

Modifier and Type	Field	Description
final Shape	TensorArray.Inputs.elementShape	The expected shape of an element, if known.
final Shape	TensorArrayGather.Inputs.elementShape	The expected shape of an element, if known.
final Shape	TensorArrayPack.Inputs.elementShape	The elementShape attribute
final Shape	TensorArrayConcat.Inputs.elementShapeExcept0	The expected shape of an element, if known, excluding the first dimension.
final Shape[]	GetElementAtIndex.Inputs.outputShapes	The outputShapes attribute
final Shape[]	MapDefun.Inputs.outputShapes	A list of shapes.
final Shape[]	StatefulCase.Inputs.outputShapes	The outputShapes attribute
final Shape[]	StatefulIf.Inputs.outputShapes	The outputShapes attribute
final Shape[]	StatefulWhile.Inputs.outputShapes	The outputShapes attribute
final Shape[]	StatelessCase.Inputs.outputShapes	The outputShapes attribute
final Shape[]	StatelessIf.Inputs.outputShapes	The outputShapes attribute
final Shape[]	StatelessWhile.Inputs.outputShapes	The outputShapes attribute
final Shape	EnsureShape.Inputs.shape	The expected (possibly partially specified) shape of the input tensor.
final Shape	FakeParam.Inputs.shape	The purported shape of the output.
final Shape	ImmutableConst.Inputs.shape	Shape of the returned tensor.
final Shape	NcclBroadcast.Inputs.shape	The shape attribute
final Shape	ParallelConcat.Inputs.shape	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.
final Shape	Placeholder.Inputs.shape	(Optional) The shape of the tensor.
final Shape	PlaceholderWithDefault.Inputs.shape	The (possibly partial) shape of the tensor.
final Shape	TemporaryVariable.Inputs.shape	The shape of the variable tensor.
final Shape	VarHandleOp.Inputs.shape	The (possibly partially specified) shape of this variable.
final Shape	Variable.Inputs.shape	The shape of the variable tensor.
final Shape[]	Barrier.Inputs.shapes	The shape of each component in a value.
final Shape	AnonymousMutableDenseHashTable.Inputs.valueShape	The shape of each value.
final Shape	AnonymousMutableHashTableOfTensors.Inputs.valueShape	The valueShape attribute
final Shape	MutableDenseHashTable.Inputs.valueShape	The shape of each value.
final Shape	MutableHashTableOfTensors.Inputs.valueShape	The valueShape attribute

Methods in org.tensorflow.op.core with parameters of type Shape

Modifier and Type	Method	Description
static <T extends TType> EnsureShape<T>	EnsureShape.create(Scope scope, Operand<T> input, Shape shape)	Factory method to create a class wrapping a new EnsureShape operation.
static <T extends TType> FakeParam<T>	FakeParam.create(Scope scope, Class<T> dtype, Shape shape)	Factory method to create a class wrapping a new FakeParam operation.
static <T extends TType> ImmutableConst<T>	ImmutableConst.create(Scope scope, Class<T> dtype, Shape shape, String memoryRegionName)	Factory method to create a class wrapping a new ImmutableConst operation.
static <T extends TNumber> NcclBroadcast<T>	NcclBroadcast.create(Scope scope, Operand<T> input, Shape shape)	Deprecated. Factory method to create a class wrapping a new NcclBroadcast operation.
static <T extends TType> ParallelConcat<T>	ParallelConcat.create(Scope scope, Iterable<Operand<T>> values, Shape shape)	Factory method to create a class wrapping a new ParallelConcat operation.
static <T extends TType> PlaceholderWithDefault<T>	PlaceholderWithDefault.create(Scope scope, Operand<T> input, Shape shape)	Factory method to create a class wrapping a new PlaceholderWithDefault operation.
static <T extends TType> TemporaryVariable<T>	TemporaryVariable.create(Scope scope, Shape shape, Class<T> dtype, TemporaryVariable.Options... options)	Factory method to create a class wrapping a new TemporaryVariable operation.
static <T extends TType> VarHandleOp	VarHandleOp.create(Scope scope, Class<T> dtype, Shape shape, VarHandleOp.Options... options)	Factory method to create a class wrapping a new VarHandleOp operation.
static <T extends TType> Variable<T>	Variable.create(Scope scope, Shape shape, Class<T> dtype, Variable.Options... options)	Factory method to create a class wrapping a new VariableV2 operation.
static TensorArray.Options	TensorArray.elementShape(Shape elementShape)	Sets the elementShape option.
TensorArray.Options	TensorArray.Options.elementShape(Shape elementShape)	Sets the elementShape option.
static TensorArrayGather.Options	TensorArrayGather.elementShape(Shape elementShape)	Sets the elementShape option.
TensorArrayGather.Options	TensorArrayGather.Options.elementShape(Shape elementShape)	Sets the elementShape option.
static TensorArrayPack.Options	TensorArrayPack.elementShape(Shape elementShape)	Sets the elementShape option.
TensorArrayPack.Options	TensorArrayPack.Options.elementShape(Shape elementShape)	Sets the elementShape option.
static TensorArrayConcat.Options	TensorArrayConcat.elementShapeExcept0(Shape elementShapeExcept0)	Sets the elementShapeExcept0 option.
TensorArrayConcat.Options	TensorArrayConcat.Options.elementShapeExcept0(Shape elementShapeExcept0)	Sets the elementShapeExcept0 option.
Case.Options	Case.Options.outputShapes(Shape... outputShapes)	Sets the outputShapes option.
static Case.Options	Case.outputShapes(Shape... outputShapes)	Sets the outputShapes option.
If.Options	If.Options.outputShapes(Shape... outputShapes)	Sets the outputShapes option.
static If.Options	If.outputShapes(Shape... outputShapes)	Sets the outputShapes option.
While.Options	While.Options.outputShapes(Shape... outputShapes)	Sets the outputShapes option.
static While.Options	While.outputShapes(Shape... outputShapes)	Sets the outputShapes option.
Placeholder.Options	Placeholder.Options.shape(Shape shape)	Sets the shape option.
static Placeholder.Options	Placeholder.shape(Shape shape)	Sets the shape option.
Barrier.Options	Barrier.Options.shapes(Shape... shapes)	Sets the shapes option.
static Barrier.Options	Barrier.shapes(Shape... shapes)	Sets the shapes option.
static <T extends TType> Constant<T>	Constant.tensorOf(Scope scope, Class<T> type, Shape shape, ByteDataBuffer data)	Create a constant with data from the given buffer.
static Constant<TString>	Constant.tensorOf(Scope scope, Charset charset, Shape shape, DataBuffer<String> data)	Create a TString constant with data from the given buffer, using the given encoding.
static Constant<TInt64>	Constant.tensorOf(Scope scope, Shape shape)	Creates a rank-1 constant of long elements representing the size of each dimensions of the given shape.
static Constant<TBool>	Constant.tensorOf(Scope scope, Shape shape, BooleanDataBuffer data)	Create a TBool constant with data from the given buffer.
static Constant<TUint8>	Constant.tensorOf(Scope scope, Shape shape, ByteDataBuffer data)	Create a TUint8 constant with data from the given buffer.
static Constant<TString>	Constant.tensorOf(Scope scope, Shape shape, DataBuffer<String> data)	Create a TString constant with data from the given buffer, using the default UTF-8 encoding.
static Constant<TFloat64>	Constant.tensorOf(Scope scope, Shape shape, DoubleDataBuffer data)	Create a TFloat64 constant with data from the given buffer.
static Constant<TFloat32>	Constant.tensorOf(Scope scope, Shape shape, FloatDataBuffer data)	Create a TFloat32 constant with data from the given buffer.
static Constant<TInt32>	Constant.tensorOf(Scope scope, Shape shape, IntDataBuffer data)	Create a TInt32 constant with data from the given buffer.
static Constant<TInt64>	Constant.tensorOf(Scope scope, Shape shape, LongDataBuffer data)	Create a TInt64 constant with data from the given buffer.
AnonymousMutableDenseHashTable.Options	AnonymousMutableDenseHashTable.Options.valueShape(Shape valueShape)	Sets the valueShape option.
static AnonymousMutableDenseHashTable.Options	AnonymousMutableDenseHashTable.valueShape(Shape valueShape)	Sets the valueShape option.
AnonymousMutableHashTableOfTensors.Options	AnonymousMutableHashTableOfTensors.Options.valueShape(Shape valueShape)	Sets the valueShape option.
static AnonymousMutableHashTableOfTensors.Options	AnonymousMutableHashTableOfTensors.valueShape(Shape valueShape)	Sets the valueShape option.
MutableDenseHashTable.Options	MutableDenseHashTable.Options.valueShape(Shape valueShape)	Sets the valueShape option.
static MutableDenseHashTable.Options	MutableDenseHashTable.valueShape(Shape valueShape)	Sets the valueShape option.
MutableHashTableOfTensors.Options	MutableHashTableOfTensors.Options.valueShape(Shape valueShape)	Sets the valueShape option.
static MutableHashTableOfTensors.Options	MutableHashTableOfTensors.valueShape(Shape valueShape)	Sets the valueShape option.

Method parameters in org.tensorflow.op.core with type arguments of type Shape

Modifier and Type	Method	Description
Case.Options	Case.Options.outputShapes(List<Shape> outputShapes)	Sets the outputShapes option.
static Case.Options	Case.outputShapes(List<Shape> outputShapes)	Sets the outputShapes option.
If.Options	If.Options.outputShapes(List<Shape> outputShapes)	Sets the outputShapes option.
static If.Options	If.outputShapes(List<Shape> outputShapes)	Sets the outputShapes option.
While.Options	While.Options.outputShapes(List<Shape> outputShapes)	Sets the outputShapes option.
static While.Options	While.outputShapes(List<Shape> outputShapes)	Sets the outputShapes option.
Barrier.Options	Barrier.Options.shapes(List<Shape> shapes)	Sets the shapes option.
static Barrier.Options	Barrier.shapes(List<Shape> shapes)	Sets the shapes option.

Uses of Shape in org.tensorflow.op.data

Fields in org.tensorflow.op.data declared as Shape

Modifier and Type	Field	Description
final Shape[]	ParseExampleDataset.Inputs.denseShapes	List of tuples with the same length as dense_keys.
final Shape[]	AnonymousIterator.Inputs.outputShapes	The outputShapes attribute
final Shape[]	AnonymousMultiDeviceIterator.Inputs.outputShapes	The outputShapes attribute
final Shape[]	AssertCardinalityDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	AssertNextDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	AssertPrevDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	AutoShardDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	BatchDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	BytesProducedStatsDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	CacheDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ChooseFastestBranchDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ChooseFastestDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ConcatenateDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	CSVDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	DataServiceDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	DatasetToSingleElement.Inputs.outputShapes	The outputShapes attribute
final Shape[]	DenseToSparseBatchDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	DirectedInterleaveDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	FilterByLastComponentDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	FilterDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	FinalizeDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	FlatMapDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	GeneratorDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	GlobalShuffleDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	GroupByReducerDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	GroupByWindowDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	IgnoreErrorsDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	IndexFlatMapDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	InterleaveDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	Iterator.Inputs.outputShapes	The outputShapes attribute
final Shape[]	IteratorFromStringHandle.Inputs.outputShapes	The outputShapes attribute
final Shape[]	IteratorGetNext.Inputs.outputShapes	The outputShapes attribute
final Shape[]	IteratorGetNextAsOptional.Inputs.outputShapes	The outputShapes attribute
final Shape[]	IteratorGetNextSync.Inputs.outputShapes	The outputShapes attribute
final Shape[]	LatencyStatsDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	LegacyParallelInterleaveDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ListDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ListSnapshotChunksDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	LMDBDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	LoadDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	MapAndBatchDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	MapDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	MaxIntraOpParallelismDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ModelDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	MultiDeviceIterator.Inputs.outputShapes	The list of shapes being produced.
final Shape[]	MultiDeviceIteratorFromStringHandle.Inputs.outputShapes	The list of shapes being produced.
final Shape[]	MultiDeviceIteratorGetNextFromShard.Inputs.outputShapes	The list of shapes being produced.
final Shape[]	NonSerializableDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	OneShotIterator.Inputs.outputShapes	The outputShapes attribute
final Shape[]	OptimizeDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	OptionalGetValue.Inputs.outputShapes	The outputShapes attribute
final Shape[]	OptionsDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	PaddedBatchDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ParallelBatchDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ParallelFilterDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ParallelInterleaveDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ParallelMapDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ParseExampleDataset.Inputs.outputShapes	The list of shapes being produced.
final Shape[]	PrefetchDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	PrivateThreadPoolDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	RandomDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	RangeDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	RebatchDatasetV2.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ReduceDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	RepeatDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	RewriteDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SamplingDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SaveDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ScanDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SetStatsAggregatorDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ShardDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ShuffleAndRepeatDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ShuffleDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SkipDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SleepDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SlidingWindowDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SnapshotChunkDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SnapshotDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SnapshotDatasetReader.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SnapshotNestedDatasetReader.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SqlDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	TakeDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	TakeWhileDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	TensorDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	TensorSliceDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ThreadPoolDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	UnbatchDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	UncompressElement.Inputs.outputShapes	The outputShapes attribute
final Shape[]	UniqueDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	WeightedFlatMapDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	WindowDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	WindowOp.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ZipDataset.Inputs.outputShapes	The outputShapes attribute

Methods in org.tensorflow.op.data with parameters of type Shape

Modifier and Type	Method	Description
IteratorFromStringHandle.Options	IteratorFromStringHandle.Options.outputShapes(Shape... outputShapes)	Sets the outputShapes option.
static IteratorFromStringHandle.Options	IteratorFromStringHandle.outputShapes(Shape... outputShapes)	Sets the outputShapes option.
MultiDeviceIteratorFromStringHandle.Options	MultiDeviceIteratorFromStringHandle.Options.outputShapes(Shape... outputShapes)	Sets the outputShapes option.
static MultiDeviceIteratorFromStringHandle.Options	MultiDeviceIteratorFromStringHandle.outputShapes(Shape... outputShapes)	Sets the outputShapes option.

Method parameters in org.tensorflow.op.data with type arguments of type Shape

Modifier and Type	Method	Description
static CSVDataset	CSVDataset.create(Scope scope, Operand<TString> filenames, Operand<TString> compressionType, Operand<TInt64> bufferSize, Operand<TBool> header, Operand<TString> fieldDelim, Operand<TBool> useQuoteDelim, Operand<TString> naValue, Operand<TInt64> selectCols, Iterable<Operand<?>> recordDefaults, Operand<TInt64> excludeCols, List<Shape> outputShapes)	Factory method to create a class wrapping a new CSVDatasetV2 operation.
static PaddedBatchDataset	PaddedBatchDataset.create(Scope scope, Operand<? extends TType> inputDataset, Operand<TInt64> batchSize, Iterable<Operand<TInt64>> paddedShapes, Iterable<Operand<?>> paddingValues, Operand<TBool> dropRemainder, List<Shape> outputShapes, PaddedBatchDataset.Options... options)	Factory method to create a class wrapping a new PaddedBatchDatasetV2 operation.
static TensorDataset	TensorDataset.create(Scope scope, Iterable<Operand<?>> components, List<Shape> outputShapes, TensorDataset.Options... options)	Factory method to create a class wrapping a new TensorDataset operation.
static TensorSliceDataset	TensorSliceDataset.create(Scope scope, Iterable<Operand<?>> components, List<Shape> outputShapes, TensorSliceDataset.Options... options)	Factory method to create a class wrapping a new TensorSliceDataset operation.
IteratorFromStringHandle.Options	IteratorFromStringHandle.Options.outputShapes(List<Shape> outputShapes)	Sets the outputShapes option.
static IteratorFromStringHandle.Options	IteratorFromStringHandle.outputShapes(List<Shape> outputShapes)	Sets the outputShapes option.
MultiDeviceIteratorFromStringHandle.Options	MultiDeviceIteratorFromStringHandle.Options.outputShapes(List<Shape> outputShapes)	Sets the outputShapes option.
static MultiDeviceIteratorFromStringHandle.Options	MultiDeviceIteratorFromStringHandle.outputShapes(List<Shape> outputShapes)	Sets the outputShapes option.

Uses of Shape in org.tensorflow.op.data.experimental

Fields in org.tensorflow.op.data.experimental declared as Shape

Modifier and Type	Field	Description
final Shape[]	ParseExampleDataset.Inputs.denseShapes	List of tuples with the same length as dense_keys.
final Shape[]	AssertNextDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	AutoShardDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	BytesProducedStatsDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ChooseFastestDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	CSVDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	DenseToSparseBatchDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	DirectedInterleaveDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	GroupByReducerDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	GroupByWindowDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	IgnoreErrorsDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	LatencyStatsDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	LmdbDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	MapAndBatchDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	MapDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	MaxIntraOpParallelismDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	NonSerializableDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ParallelInterleaveDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ParseExampleDataset.Inputs.outputShapes	The list of shapes being produced.
final Shape[]	PrivateThreadPoolDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	RandomDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	RebatchDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ScanDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SetStatsAggregatorDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SleepDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SlidingWindowDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	SqlDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	TakeWhileDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	ThreadPoolDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	UnbatchDataset.Inputs.outputShapes	The outputShapes attribute
final Shape[]	UniqueDataset.Inputs.outputShapes	The outputShapes attribute

Method parameters in org.tensorflow.op.data.experimental with type arguments of type Shape

Modifier and Type	Method	Description
static CSVDataset	CSVDataset.create(Scope scope, Operand<TString> filenames, Operand<TString> compressionType, Operand<TInt64> bufferSize, Operand<TBool> header, Operand<TString> fieldDelim, Operand<TBool> useQuoteDelim, Operand<TString> naValue, Operand<TInt64> selectCols, Iterable<Operand<?>> recordDefaults, List<Shape> outputShapes)	Factory method to create a class wrapping a new ExperimentalCSVDataset operation.

Uses of Shape in org.tensorflow.op.distribute

Fields in org.tensorflow.op.distribute declared as Shape

Modifier and Type	Field	Description
final Shape	NcclBroadcast.Inputs.shape	The shape attribute

Methods in org.tensorflow.op.distribute with parameters of type Shape

Modifier and Type	Method	Description
static <T extends TNumber> NcclBroadcast<T>	NcclBroadcast.create(Scope scope, Operand<T> input, Shape shape)	Factory method to create a class wrapping a new NcclBroadcast operation.

Uses of Shape in org.tensorflow.op.io

Fields in org.tensorflow.op.io declared as Shape

Modifier and Type	Field	Description
final Shape[]	ParseSequenceExample.Inputs.contextDenseShapes	A list of Ncontext_dense shapes; the shapes of data in each context Feature given in context_dense_keys.
final Shape[]	ParseSingleSequenceExample.Inputs.contextDenseShapes	A list of Ncontext_dense shapes; the shapes of data in each context Feature given in context_dense_keys.
final Shape[]	ParseExample.Inputs.denseShapes	A list of num_dense shapes; the shapes of data in each Feature given in dense_keys (where num_dense = dense_keys.size()).
final Shape[]	ParseSingleExample.Inputs.denseShapes	The shapes of data in each Feature given in dense_keys.
final Shape[]	ParseSequenceExample.Inputs.featureListDenseShapes	A list of Nfeature_list_dense shapes; the shapes of data in each FeatureList given in feature_list_dense_keys.
final Shape[]	ParseSingleSequenceExample.Inputs.featureListDenseShapes	A list of Nfeature_list_dense shapes; the shapes of data in each FeatureList given in feature_list_dense_keys.
final Shape[]	FifoQueue.Inputs.shapes	The shape of each component in a value.
final Shape[]	PaddingFifoQueue.Inputs.shapes	The shape of each component in a value.
final Shape[]	PriorityQueue.Inputs.shapes	The shape of each component in a value.
final Shape[]	RandomShuffleQueue.Inputs.shapes	The shape of each component in a value.

Methods in org.tensorflow.op.io with parameters of type Shape

Modifier and Type	Method	Description
static ParseSequenceExample.Options	ParseSequenceExample.contextDenseShapes(Shape... contextDenseShapes)	Sets the contextDenseShapes option.
ParseSequenceExample.Options	ParseSequenceExample.Options.contextDenseShapes(Shape... contextDenseShapes)	Sets the contextDenseShapes option.
static ParseSingleSequenceExample.Options	ParseSingleSequenceExample.contextDenseShapes(Shape... contextDenseShapes)	Sets the contextDenseShapes option.
ParseSingleSequenceExample.Options	ParseSingleSequenceExample.Options.contextDenseShapes(Shape... contextDenseShapes)	Sets the contextDenseShapes option.
static ParseSequenceExample.Options	ParseSequenceExample.featureListDenseShapes(Shape... featureListDenseShapes)	Sets the featureListDenseShapes option.
ParseSequenceExample.Options	ParseSequenceExample.Options.featureListDenseShapes(Shape... featureListDenseShapes)	Sets the featureListDenseShapes option.
static ParseSingleSequenceExample.Options	ParseSingleSequenceExample.featureListDenseShapes(Shape... featureListDenseShapes)	Sets the featureListDenseShapes option.
ParseSingleSequenceExample.Options	ParseSingleSequenceExample.Options.featureListDenseShapes(Shape... featureListDenseShapes)	Sets the featureListDenseShapes option.
FifoQueue.Options	FifoQueue.Options.shapes(Shape... shapes)	Sets the shapes option.
static FifoQueue.Options	FifoQueue.shapes(Shape... shapes)	Sets the shapes option.
PaddingFifoQueue.Options	PaddingFifoQueue.Options.shapes(Shape... shapes)	Sets the shapes option.
static PaddingFifoQueue.Options	PaddingFifoQueue.shapes(Shape... shapes)	Sets the shapes option.
RandomShuffleQueue.Options	RandomShuffleQueue.Options.shapes(Shape... shapes)	Sets the shapes option.
static RandomShuffleQueue.Options	RandomShuffleQueue.shapes(Shape... shapes)	Sets the shapes option.

Method parameters in org.tensorflow.op.io with type arguments of type Shape

Modifier and Type	Method	Description
static ParseSequenceExample.Options	ParseSequenceExample.contextDenseShapes(List<Shape> contextDenseShapes)	Sets the contextDenseShapes option.
ParseSequenceExample.Options	ParseSequenceExample.Options.contextDenseShapes(List<Shape> contextDenseShapes)	Sets the contextDenseShapes option.
static ParseSingleSequenceExample.Options	ParseSingleSequenceExample.contextDenseShapes(List<Shape> contextDenseShapes)	Sets the contextDenseShapes option.
ParseSingleSequenceExample.Options	ParseSingleSequenceExample.Options.contextDenseShapes(List<Shape> contextDenseShapes)	Sets the contextDenseShapes option.
static ParseSequenceExample.Options	ParseSequenceExample.featureListDenseShapes(List<Shape> featureListDenseShapes)	Sets the featureListDenseShapes option.
ParseSequenceExample.Options	ParseSequenceExample.Options.featureListDenseShapes(List<Shape> featureListDenseShapes)	Sets the featureListDenseShapes option.
static ParseSingleSequenceExample.Options	ParseSingleSequenceExample.featureListDenseShapes(List<Shape> featureListDenseShapes)	Sets the featureListDenseShapes option.
ParseSingleSequenceExample.Options	ParseSingleSequenceExample.Options.featureListDenseShapes(List<Shape> featureListDenseShapes)	Sets the featureListDenseShapes option.
FifoQueue.Options	FifoQueue.Options.shapes(List<Shape> shapes)	Sets the shapes option.
static FifoQueue.Options	FifoQueue.shapes(List<Shape> shapes)	Sets the shapes option.
PaddingFifoQueue.Options	PaddingFifoQueue.Options.shapes(List<Shape> shapes)	Sets the shapes option.
static PaddingFifoQueue.Options	PaddingFifoQueue.shapes(List<Shape> shapes)	Sets the shapes option.
RandomShuffleQueue.Options	RandomShuffleQueue.Options.shapes(List<Shape> shapes)	Sets the shapes option.
static RandomShuffleQueue.Options	RandomShuffleQueue.shapes(List<Shape> shapes)	Sets the shapes option.

Uses of Shape in org.tensorflow.op.math

Fields in org.tensorflow.op.math declared as Shape

Modifier and Type	Field	Description
final Shape	AccumulateN.Inputs.shape	Shape of elements of inputs.

Methods in org.tensorflow.op.math with parameters of type Shape

Modifier and Type	Method	Description
static <T extends TType> AccumulateN<T>	AccumulateN.create(Scope scope, Iterable<Operand<T>> inputs, Shape shape)	Factory method to create a class wrapping a new AccumulateNV2 operation.

Uses of Shape in org.tensorflow.op.sparse

Fields in org.tensorflow.op.sparse declared as Shape

Modifier and Type	Field	Description
final Shape	SparseConditionalAccumulator.Inputs.shape	The shape of the values.

Methods in org.tensorflow.op.sparse with parameters of type Shape

Modifier and Type	Method	Description
static <T extends TType> SparseConditionalAccumulator	SparseConditionalAccumulator.create(Scope scope, Class<T> dtype, Shape shape, SparseConditionalAccumulator.Options... options)	Factory method to create a class wrapping a new SparseConditionalAccumulator operation.

Uses of Shape in org.tensorflow.op.tpu

Fields in org.tensorflow.op.tpu declared as Shape

Modifier and Type	Field	Description
final Shape[]	DTensorRestore.Inputs.inputShapes	The inputShapes attribute
final Shape	InfeedDequeue.Inputs.shape	The shape of the tensor.
final Shape	InfeedEnqueue.Inputs.shape	The shape of the tensor.
final Shape	OutfeedDequeue.Inputs.shape	The shape of the tensor.
final Shape	OutfeedDequeueV2.Inputs.shape	The shape of the tensor.
final Shape	Prelinearize.Inputs.shape	The shape of the tensor.
final Shape	TPUDummyInput.Inputs.shape	The shape of the produced tensor.
final Shape[]	InfeedDequeueTuple.Inputs.shapes	The shapes of each tensor in outputs.
final Shape[]	InfeedEnqueueTuple.Inputs.shapes	The shapes of each tensor in inputs.
final Shape[]	OutfeedDequeueTuple.Inputs.shapes	The shapes of each tensor in outputs.
final Shape[]	OutfeedDequeueTupleV2.Inputs.shapes	The shapes of each tensor in outputs.
final Shape[]	PrelinearizeTuple.Inputs.shapes	The shapes of each tensor in inputs.

Methods in org.tensorflow.op.tpu with parameters of type Shape

Modifier and Type	Method	Description
static <T extends TType> InfeedDequeue<T>	InfeedDequeue.create(Scope scope, Class<T> dtype, Shape shape)	Factory method to create a class wrapping a new InfeedDequeue operation.
static <T extends TType> OutfeedDequeue<T>	OutfeedDequeue.create(Scope scope, Class<T> dtype, Shape shape, OutfeedDequeue.Options... options)	Factory method to create a class wrapping a new OutfeedDequeue operation.
static <T extends TType> OutfeedDequeueV2<T>	OutfeedDequeueV2.create(Scope scope, Operand<TInt32> deviceOrdinal, Class<T> dtype, Shape shape)	Factory method to create a class wrapping a new OutfeedDequeueV2 operation.
static <T extends TNumber> TPUDummyInput<T>	TPUDummyInput.create(Scope scope, Class<T> dtype, Shape shape)	Factory method to create a class wrapping a new TPUDummyInput operation.
InfeedEnqueue.Options	InfeedEnqueue.Options.shape(Shape shape)	Sets the shape option.
static InfeedEnqueue.Options	InfeedEnqueue.shape(Shape shape)	Sets the shape option.
Prelinearize.Options	Prelinearize.Options.shape(Shape shape)	Sets the shape option.
static Prelinearize.Options	Prelinearize.shape(Shape shape)	Sets the shape option.

Method parameters in org.tensorflow.op.tpu with type arguments of type Shape

Modifier and Type	Method	Description
static DTensorRestore	DTensorRestore.create(Scope scope, Operand<TString> prefix, Operand<TString> tensorNames, Operand<TString> shapeAndSlices, List<Shape> inputShapes, List<String> inputLayouts, List<Class<? extends TType>> dtypes)	Factory method to create a class wrapping a new DTensorRestoreV2 operation.
static InfeedEnqueueTuple	InfeedEnqueueTuple.create(Scope scope, Iterable<Operand<?>> inputs, List<Shape> shapes, InfeedEnqueueTuple.Options... options)	Factory method to create a class wrapping a new InfeedEnqueueTuple operation.
static PrelinearizeTuple	PrelinearizeTuple.create(Scope scope, Iterable<Operand<?>> inputs, List<Shape> shapes, PrelinearizeTuple.Options... options)	Factory method to create a class wrapping a new PrelinearizeTuple operation.

Uses of Shape in org.tensorflow.op.train

Fields in org.tensorflow.op.train declared as Shape

Modifier and Type	Field	Description
final Shape	ConditionalAccumulator.Inputs.shape	The shape of the values, can be [], in which case shape is unknown.
final Shape	ResourceConditionalAccumulator.Inputs.shape	The shape of the values, can be [], in which case shape is unknown.

Methods in org.tensorflow.op.train with parameters of type Shape

Modifier and Type	Method	Description
static <T extends TType> ConditionalAccumulator	ConditionalAccumulator.create(Scope scope, Class<T> dtype, Shape shape, ConditionalAccumulator.Options... options)	Factory method to create a class wrapping a new ConditionalAccumulator operation.
static <T extends TType> ResourceConditionalAccumulator	ResourceConditionalAccumulator.create(Scope scope, Class<T> dtype, Shape shape, ResourceConditionalAccumulator.Options... options)	Factory method to create a class wrapping a new ResourceConditionalAccumulator operation.

Uses of Shape in org.tensorflow.op.xla

Fields in org.tensorflow.op.xla declared as Shape

Modifier and Type	Field	Description
final Shape	XlaRecvFromHost.Inputs.shape	The shape attribute
final Shape[]	XlaHostCompute.Inputs.shapes	If shape_inference_graph is empty, a list of the shapes of outputs.

Methods in org.tensorflow.op.xla with parameters of type Shape

Modifier and Type	Method	Description
static <T extends TType> XlaRecvFromHost<T>	XlaRecvFromHost.create(Scope scope, Class<T> Toutput, Shape shape, String key)	Factory method to create a class wrapping a new XlaRecvFromHost operation.

Uses of Shape in org.tensorflow.types

Methods in org.tensorflow.types with parameters of type Shape

Modifier and Type	Method	Description
static TBfloat16	TBfloat16.tensorOf(Shape shape)	Allocates a new tensor of the given shape.
static TBfloat16	TBfloat16.tensorOf(Shape shape, Consumer<TBfloat16> dataInit)	Allocates a new tensor of the given shape and initialize its data.
static TBfloat16	TBfloat16.tensorOf(Shape shape, FloatDataBuffer data)	Allocates a new tensor of the given shape, initialized with the provided data.
static TBool	TBool.tensorOf(Shape shape)	Allocates a new tensor of the given shape.
static TBool	TBool.tensorOf(Shape shape, Consumer<TBool> dataInit)	Allocates a new tensor of the given shape and initialize its data.
static TBool	TBool.tensorOf(Shape shape, BooleanDataBuffer data)	Allocates a new tensor of the given shape, initialized with the provided data.
static TFloat16	TFloat16.tensorOf(Shape shape)	Allocates a new tensor of the given shape.
static TFloat16	TFloat16.tensorOf(Shape shape, Consumer<TFloat16> dataInit)	Allocates a new tensor of the given shape and initialize its data.
static TFloat16	TFloat16.tensorOf(Shape shape, FloatDataBuffer data)	Allocates a new tensor of the given shape, initialized with the provided data.
static TFloat32	TFloat32.tensorOf(Shape shape)	Allocates a new tensor of the given shape.
static TFloat32	TFloat32.tensorOf(Shape shape, Consumer<TFloat32> dataInit)	Allocates a new tensor of the given shape and initialize its data.
static TFloat32	TFloat32.tensorOf(Shape shape, FloatDataBuffer data)	Allocates a new tensor of the given shape, initialized with the provided data.
static TFloat64	TFloat64.tensorOf(Shape shape)	Allocates a new tensor of the given shape.
static TFloat64	TFloat64.tensorOf(Shape shape, Consumer<TFloat64> dataInit)	Allocates a new tensor of the given shape and initialize its data.
static TFloat64	TFloat64.tensorOf(Shape shape, DoubleDataBuffer data)	Allocates a new tensor of the given shape, initialized with the provided data.
static TInt32	TInt32.tensorOf(Shape shape)	Allocates a new tensor of the given shape.
static TInt32	TInt32.tensorOf(Shape shape, Consumer<TInt32> dataInit)	Allocates a new tensor of the given shape and initialize its data.
static TInt32	TInt32.tensorOf(Shape shape, IntDataBuffer data)	Allocates a new tensor of the given shape, initialized with the provided data.
static TInt64	TInt64.tensorOf(Shape shape)	Allocates a new tensor of the given shape.
static TInt64	TInt64.tensorOf(Shape shape, Consumer<TInt64> dataInit)	Allocates a new tensor of the given shape and initialize its data.
static TInt64	TInt64.tensorOf(Shape shape, LongDataBuffer data)	Allocates a new tensor of the given shape, initialized with the provided data.
static TString	TString.tensorOf(Charset charset, Shape shape, DataBuffer<String> data)	Allocates a new tensor with the given shape and data.
static TString	TString.tensorOf(Shape shape, DataBuffer<String> data)	Allocates a new tensor with the given shape and data.
static TUint16	TUint16.tensorOf(Shape shape)	Allocates a new tensor of the given shape.
static TUint16	TUint16.tensorOf(Shape shape, Consumer<TUint16> dataInit)	Allocates a new tensor of the given shape and initialize its data.
static TUint16	TUint16.tensorOf(Shape shape, ShortDataBuffer data)	Allocates a new tensor of the given shape, initialized with the provided data.
static TUint8	TUint8.tensorOf(Shape shape)	Allocates a new tensor of the given shape.
static TUint8	TUint8.tensorOf(Shape shape, Consumer<TUint8> dataInit)	Allocates a new tensor of the given shape and initialize its data.
static TUint8	TUint8.tensorOf(Shape shape, ByteDataBuffer data)	Allocates a new tensor of the given shape, initialized with the provided data.
static TString	TString.tensorOfBytes(Shape shape, DataBuffer<byte[]> data)	Allocates a new tensor with the given shape and raw bytes.