LoadTPUEmbeddingRMSPropParametersGradAccumDebug

public final class LoadTPUEmbeddingRMSPropParametersGradAccumDebug

Load RMSProp embedding 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 LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options Optional attributes for LoadTPUEmbeddingRMSPropParametersGradAccumDebug

Constants

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

Public Methods

static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options	config(String config)
static LoadTPUEmbeddingRMSPropParametersGradAccumDebug	create(Scope scope, Operand<TFloat32> parameters, Operand<TFloat32> ms, Operand<TFloat32> mom, Operand<TFloat32> gradientAccumulators, Long numShards, Long shardId, Options... options) Factory method to create a class wrapping a new LoadTPUEmbeddingRMSPropParametersGradAccumDebug operation.
static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options	tableId(Long tableId)
static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.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: "LoadTPUEmbeddingRMSPropParametersGradAccumDebug"

Public Methods

public static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options config (String config)

public static LoadTPUEmbeddingRMSPropParametersGradAccumDebug create (Scope scope, Operand<TFloat32> parameters, Operand<TFloat32> ms, Operand<TFloat32> mom, Operand<TFloat32> gradientAccumulators, Long numShards, Long shardId, Options... options)

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

Parameters

scope	current scope
parameters	Value of parameters used in the RMSProp optimization algorithm.
ms	Value of ms used in the RMSProp optimization algorithm.
mom	Value of mom used in the RMSProp optimization algorithm.
gradientAccumulators	Value of gradient_accumulators used in the RMSProp optimization algorithm.
options	carries optional attributes values

Returns

a new instance of LoadTPUEmbeddingRMSPropParametersGradAccumDebug

LoadTPUEmbeddingRMSPropParametersGradAccumDebug

Nested Classes

Constants

Public Methods

Inherited Methods

Constants

public static final String OP_NAME

Public Methods

public static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options config (String config)

public static LoadTPUEmbeddingRMSPropParametersGradAccumDebug create (Scope scope, Operand<TFloat32> parameters, Operand<TFloat32> ms, Operand<TFloat32> mom, Operand<TFloat32> gradientAccumulators, Long numShards, Long shardId, Options... options)

Parameters

Returns

public static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options tableId (Long tableId)

public static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options tableName (String tableName)