XlaRecvTPUEmbeddingDeduplicationData
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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.
Inherited Methods
From class
java.lang.Object
boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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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.
Factory method to create a class wrapping a new XlaRecvTPUEmbeddingDeduplicationData operation.
Parameters
scope |
current scope |
config |
Serialized TPUEmbeddingConfiguration proto. |
Returns
- a new instance of XlaRecvTPUEmbeddingDeduplicationData
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Last updated 2022-09-07 UTC.
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