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Implement cupy.sort
See original GitHub issueNumPy has numpy.sort and numpy.ndarray.sort that sort an array non-destructively and destructively. Currently CuPy leaves operations for the tasks unimplemented.
Issue Analytics
- State:
- Created 7 years ago
- Reactions:2
- Comments:8 (8 by maintainers)
Top Results From Across the Web
cupy.sort — CuPy 11.4.0 documentation
Returns a sorted copy of an array with a stable sorting algorithm. ... For its implementation reason, cupy.sort currently does not support kind...
Read more >cupy/sort.py at master - GitHub
"""Returns a sorted copy of an array with a stable sorting algorithm. Args: a (cupy.ndarray): Array ...
Read more >cupy.sorting.search — Chainer 1.24.0 documentation
Source code for cupy.sorting.search. from cupy import core ... TODO(okuta): Implement nanargmin # TODO(okuta): Implement argwhere.
Read more >Array.Sort Method (System) - Microsoft Learn
Copy. public static void Sort (Array keys, Array? items, int index, int length, System. ... The implementation of comparer caused an error during...
Read more >Sort an array according to the order defined by another array
Copy all unvisited elements from temp[] to A1[]. Below image is a dry run of the above approach: Below is the implementation of...
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I implemented a sample code to call Thrust via Cython: https://github.com/takagi/cython-thrust
I suspect that many use cases for
cupy.sortmight actually be better served by something likendarray.top_k(which can be implemented more efficiently) even though numpy doesn’t have that natively. But there are presumably also reasons for sorting a whole array, so it’s good to have that too.