RetrieveTPUEmbeddingStochasticGradientDescentParameters

public final class RetrieveTPUEmbeddingStochasticGradientDescentParameters

Retrieve SGD embedding parameters.

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 RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options Optional attributes for RetrieveTPUEmbeddingStochasticGradientDescentParameters  

Public Methods

Output<Float>
asOutput()
Returns the symbolic handle of a tensor.
static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options
config(String config)
static RetrieveTPUEmbeddingStochasticGradientDescentParameters
create(Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingStochasticGradientDescentParameters operation.
Output<Float>
parameters()
Parameter parameters updated by the stochastic gradient descent optimization algorithm.
static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options
tableId(Long tableId)
static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options
tableName(String tableName)

Inherited Methods

org.tensorflow.op.PrimitiveOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Returns the underlying 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.Operand
abstract Output<Float>
asOutput()
Returns the symbolic handle of a tensor.

Public Methods

public Output<Float> asOutput ()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options config (String config)

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

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

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

public Output<Float> parameters ()

Parameter parameters updated by the stochastic gradient descent optimization algorithm.

public static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options tableId (Long tableId)

public static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options tableName (String tableName)