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

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying 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.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)