Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
SparseSegmentSumGradV2
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Computes gradients for SparseSegmentSum.
Returns tensor "output" with same shape as grad, except for dimension 0 whose
value is the number of unique indexes in "indices". Also returns vector
"sorted_unique_indices" containing the corresponding indexes from "indices".
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
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notify()
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final
void
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notifyAll()
|
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
Factory method to create a class wrapping a new SparseSegmentSumGradV2 operation.
Parameters
scope |
current scope |
grad |
gradient propagated to the SparseSegmentSum op. |
indices |
indices passed to the corresponding SparseSegmentSum op. |
segmentIds |
segment_ids passed to the corresponding SparseSegmentSum op. |
denseOutputDim0 |
dimension 0 of "data" passed to SparseSegmentSum op. |
Returns
- a new instance of SparseSegmentSumGradV2
public
Output<U>
sortedUniqueIndices
()
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Last updated 2023-10-06 UTC.
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