RetrieveTPUEmbeddingAdagradParametersGradAccumDebug

public final class RetrieveTPUEmbeddingAdagradParametersGradAccumDebug

Retrieve Adagrad 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 RetrieveTPUEmbeddingAdagradParametersGradAccumDebug.Options Optional attributes for RetrieveTPUEmbeddingAdagradParametersGradAccumDebug  

Public Methods

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

Inherited Methods

Public Methods

public Output<Float> accumulators ()

Parameter accumulators updated by the Adagrad optimization algorithm.

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

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

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

public Output<Float> gradientAccumulators ()

Parameter gradient_accumulators updated by the Adagrad optimization algorithm.

public Output<Float> parameters ()

Parameter parameters updated by the Adagrad optimization algorithm.

public static RetrieveTPUEmbeddingAdagradParametersGradAccumDebug.Options tableName (String tableName)