LoadTPUEmbeddingAdadeltaParametersGradAccumDebug

public final class LoadTPUEmbeddingAdadeltaParametersGradAccumDebug

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 Classes

class

LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options

Optional attributes for LoadTPUEmbeddingAdadeltaParametersGradAccumDebug

Constants

String

OP_NAME

The name of this op, as known by TensorFlow core engine

Public Methods

static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options	config(String config)
static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug	create(Scope scope, Operand<TFloat32> parameters, Operand<TFloat32> accumulators, Operand<TFloat32> updates, Operand<TFloat32> gradientAccumulators, Long numShards, Long shardId, 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)

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "LoadTPUEmbeddingAdadeltaParametersGradAccumDebug"

Public Methods

public static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options config (String config)

public static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug create (Scope scope, Operand<TFloat32> parameters, Operand<TFloat32> accumulators, Operand<TFloat32> updates, Operand<TFloat32> gradientAccumulators, Long numShards, Long shardId, 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.
options	carries optional attributes values

Returns

• a new instance of LoadTPUEmbeddingAdadeltaParametersGradAccumDebug

public static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options tableId (Long tableId)

public static LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options tableName (String tableName)