RetrieveTPUEmbeddingADAMParametersGradAccumDebug

public final class RetrieveTPUEmbeddingADAMParametersGradAccumDebug

Retrieve ADAM 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 RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options Optional attributes for RetrieveTPUEmbeddingADAMParametersGradAccumDebug

Constants

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

Public Methods

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

Public Methods

public static RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options config (String config)

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

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

Parameters

scope	current scope
options	carries optional attributes values

Returns

a new instance of RetrieveTPUEmbeddingADAMParametersGradAccumDebug

public Output<TFloat32> gradientAccumulators ()

Parameter gradient_accumulators updated by the ADAM optimization algorithm.

public Output<TFloat32> momenta ()

Parameter momenta updated by the ADAM optimization algorithm.

public Output<TFloat32> parameters ()

Parameter parameters updated by the ADAM optimization algorithm.

public static RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options tableId (Long tableId)

public static RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options tableName (String tableName)

public Output<TFloat32> velocities ()

Parameter velocities updated by the ADAM optimization algorithm.