Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

LoadTPUEmbeddingAdagradParameters

public final class LoadTPUEmbeddingAdagradParameters

Load Adagrad embedding parameters.

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 LoadTPUEmbeddingAdagradParameters.Options Optional attributes for LoadTPUEmbeddingAdagradParameters

Public Methods

static LoadTPUEmbeddingAdagradParameters.Options
config (String config)
static LoadTPUEmbeddingAdagradParameters
create ( Scope scope, Operand <Float> parameters, Operand <Float> accumulators, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new LoadTPUEmbeddingAdagradParameters operation.
static LoadTPUEmbeddingAdagradParameters.Options
tableId (Long tableId)
static LoadTPUEmbeddingAdagradParameters.Options
tableName (String tableName)

Inherited Methods

Public Methods

public static LoadTPUEmbeddingAdagradParameters.Options config (String config)

public static LoadTPUEmbeddingAdagradParameters create ( Scope scope, Operand <Float> parameters, Operand <Float> accumulators, Long numShards, Long shardId, Options... options)

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

Parameters
scope current scope
parameters Value of parameters used in the Adagrad optimization algorithm.
accumulators Value of accumulators used in the Adagrad optimization algorithm.
options carries optional attributes values
Returns
  • a new instance of LoadTPUEmbeddingAdagradParameters

public static LoadTPUEmbeddingAdagradParameters.Options tableId (Long tableId)

public static LoadTPUEmbeddingAdagradParameters.Options tableName (String tableName)