RetrieveTPUEmbeddingADAMParameters

public final class RetrieveTPUEmbeddingADAMParameters

Retrieve ADAM embedding parameters.

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 RetrieveTPUEmbeddingADAMParameters.Options Optional attributes for RetrieveTPUEmbeddingADAMParameters

Constants

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

Public Methods

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

Public Methods

public static RetrieveTPUEmbeddingADAMParameters.Options config (String config)

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

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

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

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 RetrieveTPUEmbeddingADAMParameters.Options tableId (Long tableId)

public static RetrieveTPUEmbeddingADAMParameters.Options tableName (String tableName)

public Output < TFloat32 > velocities ()

Parameter velocities updated by the ADAM optimization algorithm.