RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

public final class RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug

Retrieve SGD 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 RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options Optional attributes for RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug  

Constants

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

Public Methods

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

Public Methods

public static RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options config (String config)

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

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

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

public Output<TFloat32> gradientAccumulators ()

Parameter gradient_accumulators updated by the Adadelta optimization algorithm.

public Output<TFloat32> parameters ()

Parameter parameters updated by the stochastic gradient descent optimization algorithm.

public static RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options tableId (Long tableId)

public static RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug.Options tableName (String tableName)