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

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

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

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface java.lang.Iterable

void	forEach(Consumer<? super T> arg0)
abstract Iterator<Operand<Float>>	iterator()
Spliterator<Operand<Float>>	spliterator()

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.