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SendTPUEmbeddingGradients

public final class SendTPUEmbeddingGradients

Performs gradient updates of embedding tables.

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

static SendTPUEmbeddingGradients

create(Scope scope, Iterable<Operand<TFloat32>> inputs, Iterable<Operand<TFloat32>> learningRates, String config)

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

From class 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()

From class java.lang.Object

From interface 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

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

Constant Value: "SendTPUEmbeddingGradients"

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

scope	current scope
inputs	A TensorList of gradients with which to update embedding tables. This argument has the same length and shapes as the return value of RecvTPUEmbeddingActivations, but contains gradients of the model's loss with respect to the embedding activations. The embedding tables are updated from these gradients via the optimizer specified in the TPU embedding configuration given to tpu.initialize_system.
learningRates	A TensorList of float32 scalars, one for each dynamic learning rate tag: see the comments in //third_party/tensorflow/core/protobuf/tpu/optimization_parameters.proto. Multiple tables can share the same dynamic learning rate tag as specified in the configuration. If the learning rates for all tables are constant, this list should be empty.
config	Serialized TPUEmbeddingConfiguration proto.