RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug

public final class RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug

Retrieve proximal Adagrad 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 RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options Optional attributes for RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug  

Constants

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

Public Methods

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

Public Methods

public Output<TFloat32> accumulators ()

Parameter accumulators updated by the proximal Adagrad optimization algorithm.

public static RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options config (String config)

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

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

Parameters
scope current scope
options carries optional attributes values
Returns
  • a new instance of RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug

public Output<TFloat32> gradientAccumulators ()

Parameter gradient_accumulators updated by the proximal Adagrad optimization algorithm.

public Output<TFloat32> parameters ()

Parameter parameters updated by the proximal Adagrad optimization algorithm.

public static RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options tableId (Long tableId)

public static RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options tableName (String tableName)