LoadTPUEmbeddingRMSPropParametersGradAccumDebug

public final class LoadTPUEmbeddingRMSPropParametersGradAccumDebug

Load RMSProp embedding parameters with debug support.

An op that loads optimization parameters into HBM for embedding. Must be preceded by a ConfigureTPUEmbeddingHost op that sets up the correct embedding table configuration. For example, this op is used to install parameters that are loaded from a checkpoint before a training loop is executed.

Nested Classes

class LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options Optional attributes for LoadTPUEmbeddingRMSPropParametersGradAccumDebug  

Constants

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

Public Methods

static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options
config(String config)
static LoadTPUEmbeddingRMSPropParametersGradAccumDebug
create(Scope scope, Operand<TFloat32> parameters, Operand<TFloat32> ms, Operand<TFloat32> mom, Operand<TFloat32> gradientAccumulators, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new LoadTPUEmbeddingRMSPropParametersGradAccumDebug operation.
static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options
tableId(Long tableId)
static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.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: "LoadTPUEmbeddingRMSPropParametersGradAccumDebug"

Public Methods

public static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options config (String config)

public static LoadTPUEmbeddingRMSPropParametersGradAccumDebug create (Scope scope, Operand<TFloat32> parameters, Operand<TFloat32> ms, Operand<TFloat32> mom, Operand<TFloat32> gradientAccumulators, Long numShards, Long shardId, Options... options)

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

Parameters
scope current scope
parameters Value of parameters used in the RMSProp optimization algorithm.
ms Value of ms used in the RMSProp optimization algorithm.
mom Value of mom used in the RMSProp optimization algorithm.
gradientAccumulators Value of gradient_accumulators used in the RMSProp optimization algorithm.
options carries optional attributes values
Returns
  • a new instance of LoadTPUEmbeddingRMSPropParametersGradAccumDebug

public static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options tableId (Long tableId)

public static LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options tableName (String tableName)