org.tensorflow.op.core

Class LoadTPUEmbeddingAdadeltaParametersGradAccumDebug

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.LoadTPUEmbeddingAdadeltaParametersGradAccumDebug

All Implemented Interfaces:

Op

public final class LoadTPUEmbeddingAdadeltaParametersGradAccumDebug
extends PrimitiveOp

Load Adadelta parameters with debug support.

An op that loads optimization parameters into HBM for embedding. Must be preceded by a ConfigureTPUEmbeddingHost op that sets up the correct embedding table configuration. For example, this op is used to install parameters that are loaded from a checkpoint before a training loop is executed.

Nested Class Summary

Nested Classes

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

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug	create(Scope scope, Operand<Float> parameters, Operand<Float> accumulators, Operand<Float> updates, Operand<Float> gradientAccumulators, Long numShards, Long shardId, LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options... options) Factory method to create a class wrapping a new LoadTPUEmbeddingAdadeltaParametersGradAccumDebug operation.
static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options	tableId(Long tableId)
static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.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 LoadTPUEmbeddingAdadeltaParametersGradAccumDebug create(Scope scope,
                                                                      Operand<Float> parameters,
                                                                      Operand<Float> accumulators,
                                                                      Operand<Float> updates,
                                                                      Operand<Float> gradientAccumulators,
                                                                      Long numShards,
                                                                      Long shardId,
                                                                      LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options... options)

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

Parameters:

scope - current scope

parameters - Value of parameters used in the Adadelta optimization algorithm.

accumulators - Value of accumulators used in the Adadelta optimization algorithm.

updates - Value of updates used in the Adadelta optimization algorithm.

gradientAccumulators - Value of gradient_accumulators used in the Adadelta optimization algorithm.

numShards -

shardId -

options - carries optional attributes values

Returns:

a new instance of LoadTPUEmbeddingAdadeltaParametersGradAccumDebug

tableId

public static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options tableId(Long tableId)

Parameters:

tableId -

tableName

public static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options tableName(String tableName)

Parameters:

tableName -