RecvTPUEmbeddingActivations

public final class RecvTPUEmbeddingActivations

An op that receives embedding activations on the TPU.

The TPU system performs the embedding lookups and aggregations specified by the arguments to TPUEmbeddingEnqueue(Integer/Sparse/SparseTensor)Batch. The results of these aggregations are visible to the Tensorflow Graph as the outputs of a RecvTPUEmbeddingActivations op. This op returns a list containing one Tensor of activations per table specified in the model. There can be at most one RecvTPUEmbeddingActivations op in the TPU graph.

Public Methods

static RecvTPUEmbeddingActivations	create(Scope scope, Long numOutputs, String config) Factory method to create a class wrapping a new RecvTPUEmbeddingActivations 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 RecvTPUEmbeddingActivations create (Scope scope, Long numOutputs, String config)

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

Parameters

scope	current scope
numOutputs	The number of output activation tensors, equal to the number of embedding tables in the model.
config	Serialized TPUEmbeddingConfiguration proto.

Returns

• a new instance of RecvTPUEmbeddingActivations

public Iterator<Operand<Float>> iterator ()

public List<Output<Float>> outputs ()

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