org.tensorflow.op.core

Class RetrieveTPUEmbeddingStochasticGradientDescentParameters

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.RetrieveTPUEmbeddingStochasticGradientDescentParameters

All Implemented Interfaces:

Op, Operand<Float>

public final class RetrieveTPUEmbeddingStochasticGradientDescentParameters
extends PrimitiveOp
implements Operand<Float>

Retrieve SGD embedding parameters.

An op that retrieves optimization parameters from embedding to host memory. Must be preceded by a ConfigureTPUEmbeddingHost op that sets up the correct embedding table configuration. For example, this op is used to retrieve updated parameters before saving a checkpoint.

Nested Class Summary

Nested Classes

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

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<Float>	asOutput() Returns the symbolic handle of a tensor.
static RetrieveTPUEmbeddingStochasticGradientDescentParameters	create(Scope scope, Long numShards, Long shardId, RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options... options) Factory method to create a class wrapping a new RetrieveTPUEmbeddingStochasticGradientDescentParameters operation.
Output<Float>	parameters() Parameter parameters updated by the stochastic gradient descent optimization algorithm.
static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options	tableId(Long tableId)
static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options	tableName(String tableName)

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 RetrieveTPUEmbeddingStochasticGradientDescentParameters create(Scope scope,
                                                                             Long numShards,
                                                                             Long shardId,
                                                                             RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options... options)

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

Parameters:

scope - current scope

numShards -

shardId -

options - carries optional attributes values

Returns:

a new instance of RetrieveTPUEmbeddingStochasticGradientDescentParameters

tableId

public static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options tableId(Long tableId)

Parameters:

tableId -

tableName

public static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options tableName(String tableName)

Parameters:

tableName -

parameters

public Output<Float> parameters()

Parameter parameters updated by the stochastic gradient descent optimization algorithm.

asOutput

public Output<Float> 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<Float>

See Also:

OperationBuilder.addInput(Output)