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.

public static RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options tableName (String tableName)