Class RandomDataset

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.data.RandomDataset

All Implemented Interfaces:

Shaped, Op, Operand<TType>

@Operator(group="data")
public final class RandomDataset
extends RawOp
implements Operand<TType>

Creates a Dataset that returns pseudorandom numbers. Creates a Dataset that returns a stream of uniformly distributed pseudorandom 64-bit signed integers. It accepts a boolean attribute that determines if the random number generators are re-applied at each epoch. The default value is True which means that the seeds are applied and the same sequence of random numbers are generated at each epoch. If set to False, the seeds are not re-applied and a different sequence of random numbers are generated at each epoch.

In the TensorFlow Python API, you can instantiate this dataset via the class tf.data.experimental.RandomDatasetV2.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	RandomDataset.Inputs
static class	RandomDataset.Options	Optional attributes for RandomDataset

Field Summary

Fields

Modifier and Type	Field	Description
static final String	OP_NAME	The name of this op, as known by TensorFlow core engine

Fields inherited from class RawOp

operation

Constructor Summary

Constructors

Constructor	Description
RandomDataset(Operation operation)

Method Summary

Modifier and Type	Method	Description
Output<TType>	asOutput()	Returns the symbolic handle of the tensor.
static RandomDataset	create(Scope scope, Operand<TInt64> seed, Operand<TInt64> seed2, Operand<? extends TType> seedGenerator, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes, RandomDataset.Options... options)	Factory method to create a class wrapping a new RandomDatasetV2 operation.
Output<? extends TType>	handle()	Gets handle.
static RandomDataset.Options	metadata(String metadata)	Sets the metadata option.
static RandomDataset.Options	rerandomizeEachIteration(Boolean rerandomizeEachIteration)	Sets the rerandomizeEachIteration option.

Methods inherited from class RawOp

equals, hashCode, op, toString

Methods inherited from class Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface Op

env, op

Methods inherited from interface Operand

asTensor, shape, type

Methods inherited from interface Shaped

rank, size

Field Details

OP_NAME

public static final String OP_NAME

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

See Also:

• Constant Field Values

Constructor Details

RandomDataset

public RandomDataset(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static RandomDataset create(Scope scope,
 Operand<TInt64> seed,
 Operand<TInt64> seed2,
 Operand<? extends TType> seedGenerator,
 List<Class<? extends TType>> outputTypes,
 List<Shape> outputShapes,
 RandomDataset.Options... options)

Factory method to create a class wrapping a new RandomDatasetV2 operation.

Parameters:

scope - current scope

seed - A scalar seed for the random number generator. If either seed or seed2 is set to be non-zero, the random number generator is seeded by the given seed. Otherwise, a random seed is used.

seed2 - A second scalar seed to avoid seed collision.

seedGenerator - A resource for the random number seed generator.

outputTypes - The value of the outputTypes attribute

outputShapes - The value of the outputShapes attribute

options - carries optional attribute values

Returns:

a new instance of RandomDataset

rerandomizeEachIteration

public static RandomDataset.Options rerandomizeEachIteration(Boolean rerandomizeEachIteration)

Sets the rerandomizeEachIteration option.

Parameters:

rerandomizeEachIteration - A boolean attribute to rerandomize the sequence of random numbers generated at each epoch.

Returns:

this Options instance.

metadata

public static RandomDataset.Options metadata(String metadata)

Sets the metadata option.

Parameters:

metadata - the metadata option

Returns:

this Options instance.

handle

public Output<? extends TType> handle()

Gets handle.

Returns:

handle.

asOutput

public Output<TType> asOutput()

Description copied from interface: Operand

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.

Specified by:

asOutput in interface Operand<TType>

See Also:

• OperationBuilder.addInput(Output)