LoadTPUEmbeddingStochasticGradientDescentParameters

public final class LoadTPUEmbeddingStochasticGradientDescentParameters

Load SGD embedding parameters.

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

Public Methods

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

Inherited Methods

org.tensorflow.op.PrimitiveOp
final boolean
equals(Object obj)
final int
Operation
op()
Returns the underlying Operation
final String
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()

Public Methods

public static LoadTPUEmbeddingStochasticGradientDescentParameters create (Scope scope, Operand<Float> parameters, Long numShards, Long shardId, Options... options)

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

Parameters
scope current scope
parameters Value of parameters used in the stochastic gradient descent optimization algorithm.
options carries optional attributes values
Returns
  • a new instance of LoadTPUEmbeddingStochasticGradientDescentParameters

public static LoadTPUEmbeddingStochasticGradientDescentParameters.Options tableName (String tableName)