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

LoadTPUEmbeddingAdagradParametersGradAccumDebug

public final class LoadTPUEmbeddingAdagradParametersGradAccumDebug

Load Adagrad embedding parameters with debug support.

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 LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options Optional attributes for LoadTPUEmbeddingAdagradParametersGradAccumDebug  

Public Methods

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

Inherited Methods

Public Methods

public static LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options config (String config)

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

Factory method to create a class wrapping a new LoadTPUEmbeddingAdagradParametersGradAccumDebug 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.
gradientAccumulators Value of gradient_accumulators used in the Adagrad optimization algorithm.
options carries optional attributes values
Returns
  • a new instance of LoadTPUEmbeddingAdagradParametersGradAccumDebug

public static LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options tableId (Long tableId)

public static LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options tableName (String tableName)