LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

public final class LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

Load SGD embedding parameters.

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 LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options Optional attributes for LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

Constants

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

Public Methods

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

Public Methods

public static LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options config (String config)

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

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

Parameters

scope	current scope
parameters	Value of parameters used in the stochastic gradient descent optimization algorithm.
gradientAccumulators	Value of gradient_accumulators used in the Adadelta optimization algorithm.
options	carries optional attributes values

Returns

a new instance of LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

Nested Classes

Constants

Public Methods

Inherited Methods

Constants

public static final String OP_NAME

Public Methods

public static LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options config (String config)

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

Parameters

Returns

public static LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options tableId (Long tableId)

public static LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options tableName (String tableName)