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

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.