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RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

public final class RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

Retrieve Adadelta 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 RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options Optional attributes for RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug  

Public Methods

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

Inherited Methods

Public Methods

public Output<Float> accumulators ()

Parameter accumulators updated by the Adadelta optimization algorithm.

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

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

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

public Output<Float> gradientAccumulators ()

Parameter gradient_accumulators updated by the Adadelta optimization algorithm.

public Output<Float> parameters ()

Parameter parameters updated by the Adadelta optimization algorithm.

public static RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options tableName (String tableName)

public Output<Float> updates ()

Parameter updates updated by the Adadelta optimization algorithm.