org.tensorflow.op.core

Class CacheDataset

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.CacheDataset

All Implemented Interfaces:

Op, Operand<Object>

@Operator
public final class CacheDataset
extends PrimitiveOp
implements Operand<Object>

Creates a dataset that caches elements from `input_dataset`.

A CacheDataset will iterate over the input_dataset, and store tensors. If the cache already exists, the cache will be used. If the cache is inappropriate (e.g. cannot be opened, contains tensors of the wrong shape / size), an error will the returned when used.

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 CacheDataset	create(Scope scope, Operand<?> inputDataset, Operand<String> filename, List<Class<?>> outputTypes, List<Shape> outputShapes) Factory method to create a class to wrap a new CacheDataset 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 CacheDataset create(Scope scope,
                                  Operand<?> inputDataset,
                                  Operand<String> filename,
                                  List<Class<?>> outputTypes,
                                  List<Shape> outputShapes)

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

Parameters:

scope - current graph scope

inputDataset -

filename - A path on the filesystem where we should cache the dataset. Note: this will be a directory.

outputTypes -

outputShapes -

Returns:

a new instance of CacheDataset

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)