RebatchDataset

public final class RebatchDataset

Creates a dataset that changes the batch size.

Creates a dataset that changes the batch size of the dataset to current batch size // num_replicas.

Nested Classes

class RebatchDataset.Options Optional attributes for RebatchDataset

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<TType>	asOutput() Returns the symbolic handle of the tensor.
static RebatchDataset	create(Scope scope, Operand<?> inputDataset, Operand<TInt64> numReplicas, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes, Options... options) Factory method to create a class wrapping a new RebatchDataset operation.
Output<?>	handle()
static RebatchDataset.Options	useFallback(Boolean useFallback)

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

From interface org.tensorflow.Operand

abstract Output<TType>	asOutput() Returns the symbolic handle of the tensor.
abstract TType	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the `Output` of this operand.
abstract Class<TType>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "ExperimentalRebatchDataset"

Public Methods

public Output<TType> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static RebatchDataset create (Scope scope, Operand<?> inputDataset, Operand<TInt64> numReplicas, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes, Options... options)

Factory method to create a class wrapping a new RebatchDataset operation.

Parameters

scope	current scope
inputDataset	A variant tensor representing the input dataset.
numReplicas	A scalar representing the number of replicas to distribute this batch across. As a result of this transformation the current batch size would end up being divided by this parameter.
options	carries optional attributes values

Returns

a new instance of RebatchDataset

RebatchDataset

Nested Classes

Constants

Public Methods

Inherited Methods

Constants

public static final String OP_NAME

Public Methods

public Output<TType> asOutput ()

public static RebatchDataset create (Scope scope, Operand<?> inputDataset, Operand<TInt64> numReplicas, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes, Options... options)

Parameters

Returns

public Output<?> handle ()

public static RebatchDataset.Options useFallback (Boolean useFallback)