RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

public final class RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

Retrieve RMSProp embedding parameters with debug support.

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 Classes

class

RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options

Optional attributes for RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

Constants

String

OP_NAME

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

Public Methods

static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options	config(String config)
static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug	create(Scope scope, Long numShards, Long shardId, Options... options) Factory method to create a class wrapping a new RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug operation.
Output<TFloat32>	gradientAccumulators() Parameter gradient_accumulators updated by the RMSProp optimization algorithm.
Output<TFloat32>	mom() Parameter mom updated by the RMSProp optimization algorithm.
Output<TFloat32>	ms() Parameter ms updated by the RMSProp optimization algorithm.
Output<TFloat32>	parameters() Parameter parameters updated by the RMSProp optimization algorithm.
static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options	tableId(Long tableId)
static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.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: "RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug"

Public Methods

public static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options config (String config)

public static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug create (Scope scope, Long numShards, Long shardId, Options... options)

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

Parameters

scope	current scope
options	carries optional attributes values

Returns

• a new instance of RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

public Output<TFloat32> gradientAccumulators ()

Parameter gradient_accumulators updated by the RMSProp optimization algorithm.

public Output<TFloat32> mom ()

Parameter mom updated by the RMSProp optimization algorithm.

public Output<TFloat32> ms ()

Parameter ms updated by the RMSProp optimization algorithm.

public Output<TFloat32> parameters ()

Parameter parameters updated by the RMSProp optimization algorithm.

public static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options tableId (Long tableId)

public static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options tableName (String tableName)