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 |
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