RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

public final class RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

Retrieve Adadelta 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 RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options Optional attributes for RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

Constants

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

Public Methods

Output<TFloat32>	accumulators() Parameter accumulators updated by the Adadelta optimization algorithm.
static RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options	config(String config)
static RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug	create(Scope scope, Long numShards, Long shardId, Options... options) Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug operation.
Output<TFloat32>	gradientAccumulators() Parameter gradient_accumulators updated by the Adadelta optimization algorithm.
Output<TFloat32>	parameters() Parameter parameters updated by the Adadelta optimization algorithm.
static RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options	tableId(Long tableId)
static RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options	tableName(String tableName)
Output<TFloat32>	updates() Parameter updates updated by the Adadelta optimization algorithm.

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: "RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug"

Public Methods

public Output<TFloat32> accumulators ()

Parameter accumulators updated by the Adadelta optimization algorithm.

public static RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options config (String config)

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

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

Parameters

scope	current scope
options	carries optional attributes values

Returns

a new instance of RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

public Output<TFloat32> gradientAccumulators ()

Parameter gradient_accumulators updated by the Adadelta optimization algorithm.

public Output<TFloat32> parameters ()

Parameter parameters updated by the Adadelta optimization algorithm.

public static RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options tableId (Long tableId)

public static RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options tableName (String tableName)

public Output<TFloat32> updates ()

Parameter updates updated by the Adadelta optimization algorithm.