RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

public final class RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

Retrieve RMSProp 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 RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options Optional attributes for RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

Constants

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

Public Methods

static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options
config (String config)
static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug
create ( Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug operation.
Output < TFloat32 >
gradientAccumulators ()
Parameter gradient_accumulators updated by the RMSProp optimization algorithm.
Output < TFloat32 >
mom ()
Parameter mom updated by the RMSProp optimization algorithm.
Output < TFloat32 >
ms ()
Parameter ms updated by the RMSProp optimization algorithm.
Output < TFloat32 >
parameters ()
Parameter parameters updated by the RMSProp optimization algorithm.
static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options
tableId (Long tableId)
static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.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: "RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug"

Public Methods

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

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

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

public Output < TFloat32 > gradientAccumulators ()

Parameter gradient_accumulators updated by the RMSProp optimization algorithm.

public Output < TFloat32 > mom ()

Parameter mom updated by the RMSProp optimization algorithm.

public Output < TFloat32 > ms ()

Parameter ms updated by the RMSProp optimization algorithm.

public Output < TFloat32 > parameters ()

Parameter parameters updated by the RMSProp optimization algorithm.

public static RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options tableName (String tableName)