org.tensorflow.op.core

Class ExperimentalRandomDataset

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.ExperimentalRandomDataset

All Implemented Interfaces:

Op, Operand<Object>

public final class ExperimentalRandomDataset
extends PrimitiveOp
implements Operand<Object>

Creates a Dataset that returns pseudorandom numbers.

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<Object>	asOutput() Returns the symbolic handle of a tensor.
static ExperimentalRandomDataset	create(Scope scope, Operand<Long> seed, Operand<Long> seed2, List<Class<?>> outputTypes, List<Shape> outputShapes) Factory method to create a class to wrap a new ExperimentalRandomDataset operation to the graph.
Output<?>	handle()

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static ExperimentalRandomDataset create(Scope scope,
                                               Operand<Long> seed,
                                               Operand<Long> seed2,
                                               List<Class<?>> outputTypes,
                                               List<Shape> outputShapes)

Factory method to create a class to wrap a new ExperimentalRandomDataset operation to the graph.

Parameters:

scope - current graph 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.

outputTypes -

outputShapes -

Returns:

a new instance of ExperimentalRandomDataset

handle

public Output<?> handle()

asOutput

public Output<Object> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a 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<Object>

See Also:

OperationBuilder.addInput(Output)