RetrieveTPUEmbeddingStochasticGradientDescentParameters

public final class RetrieveTPUEmbeddingStochasticGradientDescentParameters

Retrieve SGD 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 RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options Optional attributes for RetrieveTPUEmbeddingStochasticGradientDescentParameters

Constants

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

Public Methods

Output < TFloat32 >
asOutput ()
Returns the symbolic handle of the tensor.
static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options
config (String config)
static RetrieveTPUEmbeddingStochasticGradientDescentParameters
create ( Scope scope, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new RetrieveTPUEmbeddingStochasticGradientDescentParameters operation.
Output < TFloat32 >
parameters ()
Parameter parameters updated by the stochastic gradient descent optimization algorithm.
static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options
tableId (Long tableId)
static RetrieveTPUEmbeddingStochasticGradientDescentParameters.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: "RetrieveTPUEmbeddingStochasticGradientDescentParameters"

Public Methods

public Output < TFloat32 > asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

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

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

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

public Output < TFloat32 > parameters ()

Parameter parameters updated by the stochastic gradient descent optimization algorithm.