RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

public final class RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

Retrieve SGD 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

RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options

Optional attributes for RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

Constants

String

OP_NAME

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

Public Methods

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

Public Methods

public static RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options config (String config)

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

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

Parameters

scope	current scope
options	carries optional attributes values

Returns

• a new instance of RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

public Output<TFloat32> gradientAccumulators ()

Parameter gradient_accumulators updated by the Adadelta optimization algorithm.

public Output<TFloat32> parameters ()

Parameter parameters updated by the stochastic gradient descent optimization algorithm.

public static RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options tableId (Long tableId)

public static RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options tableName (String tableName)