org.tensorflow.op.core

Class SamplingDataset

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.SamplingDataset

All Implemented Interfaces:

Op, Operand<Object>

public final class SamplingDataset
extends PrimitiveOp
implements Operand<Object>

Creates a dataset that takes a Bernoulli sample of the contents of another dataset.

There is no transformation in the `tf.data` Python API for creating this dataset. Instead, it is created as a result of the `filter_with_random_uniform_fusion` static optimization. Whether this optimization is performed is determined by the `experimental_optimization.filter_with_random_uniform_fusion` option of `tf.data.Options`.

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 SamplingDataset	create(Scope scope, Operand<?> inputDataset, Operand<Float> rate, Operand<Long> seed, Operand<Long> seed2, List<Class<?>> outputTypes, List<Shape> outputShapes) Factory method to create a class wrapping a new SamplingDataset operation.
Output<?>	handle()

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

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

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

Parameters:

scope - current scope

inputDataset -

rate - A scalar representing the sample rate. Each element of `input_dataset` is retained with this probability, independent of all other elements.

seed - A scalar representing seed of random number generator.

seed2 - A scalar representing seed2 of random number generator.

outputTypes -

outputShapes -

Returns:

a new instance of SamplingDataset

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)