LoadTPUEmbeddingAdagradParametersGradAccumDebug

public final class LoadTPUEmbeddingAdagradParametersGradAccumDebug

Load Adagrad 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 LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options Optional attributes for LoadTPUEmbeddingAdagradParametersGradAccumDebug  

Constants

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

Public Methods

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

Inherited Methods

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()
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()
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: "LoadTPUEmbeddingAdagradParametersGradAccumDebug"

Public Methods

public static LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options config (String config)

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

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

Parameters
scope current scope
parameters Value of parameters used in the Adagrad optimization algorithm.
accumulators Value of accumulators used in the Adagrad optimization algorithm.
gradientAccumulators Value of gradient_accumulators used in the Adagrad optimization algorithm.
options carries optional attributes values
Returns
  • a new instance of LoadTPUEmbeddingAdagradParametersGradAccumDebug

public static LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options tableId (Long tableId)

public static LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options tableName (String tableName)