Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
XlaRecvTPUEmbeddingActivations
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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>>
|
|
List<Output<Float>>
|
outputs()
A TensorList of embedding activations containing one Tensor per
embedding table in the model.
|
Inherited Methods
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
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.
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Last updated 2022-09-07 UTC.
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