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

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output < TFloat32 >
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 < TFloat32 >
gradientAccumulators ()
Parameter gradient_accumulators updated by the Adadelta optimization algorithm.
Output < TFloat32 >
parameters ()
Parameter parameters updated by the Adadelta optimization algorithm.
static RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options
tableId (Long tableId)
static RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options
tableName (String tableName)
Output < TFloat32 >
updates ()
Parameter updates updated by the Adadelta optimization algorithm.

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug"

Public Methods

public Output < TFloat32 > 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 < TFloat32 > gradientAccumulators ()

Parameter gradient_accumulators updated by the Adadelta optimization algorithm.

public Output < TFloat32 > parameters ()

Parameter parameters updated by the Adadelta optimization algorithm.

public static RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options tableName (String tableName)

public Output < TFloat32 > updates ()

Parameter updates updated by the Adadelta optimization algorithm.