AutoShardDataset

public final class AutoShardDataset

Creates a dataset that shards the input dataset.

Creates a dataset that shards the input dataset by num_workers, returning a sharded dataset for the index-th worker. This attempts to automatically shard a dataset by examining the Dataset graph and inserting a shard op before the inputs to a reader Dataset (e.g. CSVDataset, TFRecordDataset).

This dataset will throw a NotFound error if we cannot shard the dataset automatically.

Nested Classes

class

AutoShardDataset.Options

Optional attributes for AutoShardDataset

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 AutoShardDataset.Options	autoShardPolicy(Long autoShardPolicy)
static AutoShardDataset	create(Scope scope, Operand<?> inputDataset, Operand<TInt64> numWorkers, Operand<TInt64> index, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes, Options... options) Factory method to create a class wrapping a new AutoShardDataset operation.
Output<?>	handle()
static AutoShardDataset.Options	numReplicas(Long numReplicas)

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: "AutoShardDataset"

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 AutoShardDataset.Options autoShardPolicy (Long autoShardPolicy)

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

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

Parameters

scope	current scope
inputDataset	A variant tensor representing the input dataset.
numWorkers	A scalar representing the number of workers to distribute this dataset across.
index	A scalar representing the index of the current worker out of num_workers.
options	carries optional attributes values

Returns

• a new instance of AutoShardDataset

public Output<?> handle ()

public static AutoShardDataset.Options numReplicas (Long numReplicas)