RetrieveTPUEmbeddingADAMParametersGradAccumDebug

public final class RetrieveTPUEmbeddingADAMParametersGradAccumDebug

Retrieve ADAM 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 RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options Optional attributes for RetrieveTPUEmbeddingADAMParametersGradAccumDebug  

Constants

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

Public Methods

static RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options
config(String config)
static RetrieveTPUEmbeddingADAMParametersGradAccumDebug
create(Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingADAMParametersGradAccumDebug operation.
Output<TFloat32>
gradientAccumulators()
Parameter gradient_accumulators updated by the ADAM optimization algorithm.
Output<TFloat32>
momenta()
Parameter momenta updated by the ADAM optimization algorithm.
Output<TFloat32>
parameters()
Parameter parameters updated by the ADAM optimization algorithm.
static RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options
tableId(Long tableId)
static RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options
tableName(String tableName)
Output<TFloat32>
velocities()
Parameter velocities updated by the ADAM optimization algorithm.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "RetrieveTPUEmbeddingADAMParametersGradAccumDebug"

Public Methods

public static RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options config (String config)

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

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

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

public Output<TFloat32> gradientAccumulators ()

Parameter gradient_accumulators updated by the ADAM optimization algorithm.

public Output<TFloat32> momenta ()

Parameter momenta updated by the ADAM optimization algorithm.

public Output<TFloat32> parameters ()

Parameter parameters updated by the ADAM optimization algorithm.

public static RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options tableId (Long tableId)

public static RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options tableName (String tableName)

public Output<TFloat32> velocities ()

Parameter velocities updated by the ADAM optimization algorithm.