LoadTPUEmbeddingADAMParametersGradAccumDebug

public final class LoadTPUEmbeddingADAMParametersGradAccumDebug

Load ADAM 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 LoadTPUEmbeddingADAMParametersGradAccumDebug.Options Optional attributes for LoadTPUEmbeddingADAMParametersGradAccumDebug  

Constants

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

Public Methods

static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options
config(String config)
static LoadTPUEmbeddingADAMParametersGradAccumDebug
create(Scope scope, Operand<TFloat32> parameters, Operand<TFloat32> momenta, Operand<TFloat32> velocities, Operand<TFloat32> gradientAccumulators, Long numShards, Long shardId, Options... options)
Factory method to create a class wrapping a new LoadTPUEmbeddingADAMParametersGradAccumDebug operation.
static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options
tableId(Long tableId)
static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options
tableName(String tableName)

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Return this unit of computation as a single Operation.
final String
toString()
boolean
equals(Object arg0)
final Class<?>
getClass()
int
hashCode()
final void
notify()
final void
notifyAll()
String
toString()
final void
wait(long arg0, int arg1)
final void
wait(long arg0)
final void
wait()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.

Constants

public static final String OP_NAME

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

Constant Value: "LoadTPUEmbeddingADAMParametersGradAccumDebug"

Public Methods

public static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options config (String config)

public static LoadTPUEmbeddingADAMParametersGradAccumDebug create (Scope scope, Operand<TFloat32> parameters, Operand<TFloat32> momenta, Operand<TFloat32> velocities, Operand<TFloat32> gradientAccumulators, Long numShards, Long shardId, Options... options)

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

Parameters
scope current scope
parameters Value of parameters used in the ADAM optimization algorithm.
momenta Value of momenta used in the ADAM optimization algorithm.
velocities Value of velocities used in the ADAM optimization algorithm.
gradientAccumulators Value of gradient_accumulators used in the ADAM optimization algorithm.
options carries optional attributes values
Returns
  • a new instance of LoadTPUEmbeddingADAMParametersGradAccumDebug

public static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options tableId (Long tableId)

public static LoadTPUEmbeddingADAMParametersGradAccumDebug.Options tableName (String tableName)