org.tensorflow.op.data

Class CacheDataset

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.data.CacheDataset

All Implemented Interfaces:

Op, Operand<Object>

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 wrapping a new CacheDataset 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 CacheDataset create(Scope scope,
                                  Operand<?> inputDataset,
                                  Operand<String> filename,
                                  List<Class<?>> outputTypes,
                                  List<Shape> outputShapes)

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

Parameters:

scope - current 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)