Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

RetrieveTPUEmbeddingFrequencyEstimatorParametersGradAccumDebug

public final class RetrieveTPUEmbeddingFrequencyEstimatorParametersGradAccumDebug

Retrieve frequency estimator 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 RetrieveTPUEmbeddingFrequencyEstimatorParametersGradAccumDebug.Options Optional attributes for RetrieveTPUEmbeddingFrequencyEstimatorParametersGradAccumDebug

Public Methods

static RetrieveTPUEmbeddingFrequencyEstimatorParametersGradAccumDebug.Options
config (String config)
static RetrieveTPUEmbeddingFrequencyEstimatorParametersGradAccumDebug
create ( Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingFrequencyEstimatorParametersGradAccumDebug operation.
Output <Float>
gradientAccumulators ()
Parameter gradient_accumulators updated by the frequency estimator optimization algorithm.
Output <Float>
lastHitStep ()
Parameter last_hit_step updated by the frequency estimator optimization algorithm.
Output <Float>
parameters ()
Parameter parameters updated by the frequency estimator optimization algorithm.
static RetrieveTPUEmbeddingFrequencyEstimatorParametersGradAccumDebug.Options
tableId (Long tableId)
static RetrieveTPUEmbeddingFrequencyEstimatorParametersGradAccumDebug.Options
tableName (String tableName)

Inherited Methods

Public Methods

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

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

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

public Output <Float> gradientAccumulators ()

Parameter gradient_accumulators updated by the frequency estimator optimization algorithm.

public Output <Float> lastHitStep ()

Parameter last_hit_step updated by the frequency estimator optimization algorithm.

public Output <Float> parameters ()

Parameter parameters updated by the frequency estimator optimization algorithm.