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

SendTPUEmbeddingGradients

public final class SendTPUEmbeddingGradients

Performs gradient updates of embedding tables.

static SendTPUEmbeddingGradients

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

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

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying `Operation`
final String	toString()

From class java.lang.Object

Public Methods

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.