SendTPUEmbeddingGradients

public final class SendTPUEmbeddingGradients

Performs gradient updates of embedding tables.

Constants

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

Public Methods

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.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "SendTPUEmbeddingGradients"

Public Methods

public 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.

Parameters
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.
Returns
  • a new instance of SendTPUEmbeddingGradients