XlaRecvTPUEmbeddingActivations

public final class XlaRecvTPUEmbeddingActivations

An op that receives embedding activations on the TPU.

The TPU system performs the embedding lookups and aggregations. The results of these aggregations are visible to the Tensorflow Graph as the outputs of a XlaRecvTPUEmbeddingActivations Op. This op returns a list containing one Tensor of activations per table specified in the model.

Public Methods

static XlaRecvTPUEmbeddingActivations
create(Scope scope, Operand<?> deduplicationData, Long numTables, String config)
Factory method to create a class wrapping a new XlaRecvTPUEmbeddingActivations operation.
Iterator<Operand<Float>>
iterator()
List<Output<Float>>
outputs()
A TensorList of embedding activations containing one Tensor per embedding table in the model.

Inherited Methods

Public Methods

public static XlaRecvTPUEmbeddingActivations create (Scope scope, Operand<?> deduplicationData, Long numTables, String config)

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

Parameters
scope current scope
deduplicationData A Tensor with type=DT_VARIANT containing the deduplication data. The tensor is an XLA nested tuple containing N elements (where N is the ratio of the number of embedding to tensor cores per TPU chip). Each element of the nested tuple is a tuple of rank 1 tensors. Each tensor either contains indices (DT_UINT32) for embedding lookup on the TensorCore or weights (DT_FLOAT) to apply to the output of the embedding lookup operation.
numTables The number of output activation tensors. If feature descriptor is present in the tpu embedding config, it is equal to the number of features otherwise equal to number of embedding tables in the model.
config Serialized TPUEmbeddingConfiguration proto.
Returns
  • a new instance of XlaRecvTPUEmbeddingActivations

public Iterator<Operand<Float>> iterator ()

public List<Output<Float>> outputs ()

A TensorList of embedding activations containing one Tensor per embedding table in the model.