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LoadTPUEmbeddingFTRLParametersGradAccumDebug

public final class LoadTPUEmbeddingFTRLParametersGradAccumDebug

Load FTRL 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 LoadTPUEmbeddingFTRLParametersGradAccumDebug.Options Optional attributes for LoadTPUEmbeddingFTRLParametersGradAccumDebug

Constants

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

Public Methods

static LoadTPUEmbeddingFTRLParametersGradAccumDebug.Options
config (String config)
static LoadTPUEmbeddingFTRLParametersGradAccumDebug
create ( Scope scope, Operand < TFloat32 > parameters, Operand < TFloat32 > accumulators, Operand < TFloat32 > linears, Operand < TFloat32 > gradientAccumulators, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new LoadTPUEmbeddingFTRLParametersGradAccumDebug operation.
static LoadTPUEmbeddingFTRLParametersGradAccumDebug.Options
tableId (Long tableId)
static LoadTPUEmbeddingFTRLParametersGradAccumDebug.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: "LoadTPUEmbeddingFTRLParametersGradAccumDebug"

Public Methods

public static LoadTPUEmbeddingFTRLParametersGradAccumDebug.Options config (String config)

public static LoadTPUEmbeddingFTRLParametersGradAccumDebug create ( Scope scope, Operand < TFloat32 > parameters, Operand < TFloat32 > accumulators, Operand < TFloat32 > linears, Operand < TFloat32 > gradientAccumulators, Long numShards, Long shardId, Options... options)

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

Parameters
scope current scope
parameters Value of parameters used in the FTRL optimization algorithm.
accumulators Value of accumulators used in the FTRL optimization algorithm.
linears Value of linears used in the FTRL optimization algorithm.
gradientAccumulators Value of gradient_accumulators used in the FTRL optimization algorithm.
options carries optional attributes values
Returns
  • a new instance of LoadTPUEmbeddingFTRLParametersGradAccumDebug

public static LoadTPUEmbeddingFTRLParametersGradAccumDebug.Options tableId (Long tableId)

public static LoadTPUEmbeddingFTRLParametersGradAccumDebug.Options tableName (String tableName)