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

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

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "RetrieveTPUEmbeddingAdagradParametersGradAccumDebug"

Public Methods

public Output < TFloat32 > 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 < TFloat32 > gradientAccumulators ()

Parameter gradient_accumulators updated by the Adagrad optimization algorithm.

public Output < TFloat32 > parameters ()

Parameter parameters updated by the Adagrad optimization algorithm.

public static RetrieveTPUEmbeddingAdagradParametersGradAccumDebug.Options tableName (String tableName)