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

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 <Float>
gradientAccumulators ()
Parameter gradient_accumulators updated by the Adadelta optimization algorithm.
Output <Float>
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

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 <Float> gradientAccumulators ()

Parameter gradient_accumulators updated by the Adadelta optimization algorithm.

public Output <Float> 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)