Add cupy.nanargmin and cupy.nanargmax
See original GitHub issueI am interested in adding cupy.nanargmin
and cupy.nanargmax
. They will not be fully equivalent to numpy ones because, currently cupy.array
does not support subok=True
.
Issue Analytics
- State:
- Created 4 years ago
- Comments:5 (5 by maintainers)
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cupy.nanargmax — CuPy 11.3.0 documentation
For performance reasons, cupy.nanargmax returns out of range values for all-NaN slice whereas numpy.nanargmax raises ValueError. See also. numpy.nanargmax().
Read more >cupy.argmin — CuPy 11.4.0 documentation
Returns the indices of the minimum along an axis. Parameters. a (cupy.ndarray) – Array to take argmin. axis (int) – Along which axis ......
Read more >cupy.where — CuPy 11.4.0 documentation
If only condition is given, return the tuple condition.nonzero() , the indices where condition is True. Return type. cupy.ndarray. Warning.
Read more >Comparison Table — CuPy 11.4.0 documentation
Here is a list of NumPy / SciPy APIs and its corresponding CuPy implementations. - in CuPy column denotes that CuPy implementation is...
Read more >cupy.searchsorted — CuPy 11.4.0 documentation
If sorter is None , then it must be sorted in ascending order, otherwise sorter must be an array of indices that sort...
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Top GitHub Comments
I suppose this should be closed now? @asi1024
Apologies for the messy PR earlier. Initial checks have passed now. Please review the PR.