LoadTPUEmbeddingADAMParametersGradAccumDebug

public final class LoadTPUEmbeddingADAMParametersGradAccumDebug

Load ADAM 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 LoadTPUEmbeddingADAMParametersGradAccumDebug.Options Optional attributes for LoadTPUEmbeddingADAMParametersGradAccumDebug

Constants

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

Public Methods

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

Public Methods

public static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options config (String config)

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

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

Parameters

scope	current scope
parameters	Value of parameters used in the ADAM optimization algorithm.
momenta	Value of momenta used in the ADAM optimization algorithm.
velocities	Value of velocities used in the ADAM optimization algorithm.
gradientAccumulators	Value of gradient_accumulators used in the ADAM optimization algorithm.
options	carries optional attributes values

Returns

a new instance of LoadTPUEmbeddingADAMParametersGradAccumDebug

LoadTPUEmbeddingADAMParametersGradAccumDebug

Nested Classes

Constants

Public Methods

Inherited Methods

Constants

public static final String OP_NAME

Public Methods

public static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options config (String config)

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

Parameters

Returns

public static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options tableId (Long tableId)

public static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options tableName (String tableName)