Receives deduplication data (indices and weights) from the embedding core.
The deduplication data is a Tensor with type=DT_VARIANT. The tensor itself 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.
Public Methods
Inherited Methods
boolean |
equals(Object arg0)
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final Class<?> |
getClass()
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int |
hashCode()
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final void |
notify()
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final void |
notifyAll()
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String |
toString()
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final void |
wait(long arg0, int arg1)
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final void |
wait(long arg0)
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final void |
wait()
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Public Methods
public Output<Object> asOutput ()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static XlaRecvTPUEmbeddingDeduplicationData create (Scope scope, String config)
Factory method to create a class wrapping a new XlaRecvTPUEmbeddingDeduplicationData operation.
Parameters
scope | current scope |
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config | Serialized TPUEmbeddingConfiguration proto. |
Returns
- a new instance of XlaRecvTPUEmbeddingDeduplicationData