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| author | Sayed Adel <seiko@imavr.com> | 2022-02-14 07:12:48 +0200 |
|---|---|---|
| committer | Sayed Adel <seiko@imavr.com> | 2023-01-29 13:02:39 +0200 |
| commit | de95f3cfbafb08674b6dfd13f780703ebd48bf10 (patch) | |
| tree | eb3f0f1123c0a10b33c2143dd5ee4f6e1446586b /numpy/array_api/_elementwise_functions.py | |
| parent | 640e85017aa8eac3e9be68b475acf27d623b16b7 (diff) | |
| download | numpy-de95f3cfbafb08674b6dfd13f780703ebd48bf10.tar.gz | |
ENH: Implement intrinsics for shuffle over 128-bit lane and unzip
shuffle intrinsics support 32-bit/64-bit vector data types,
unzip(deinterleave) intrinsics supports all data types.
Diffstat (limited to 'numpy/array_api/_elementwise_functions.py')
0 files changed, 0 insertions, 0 deletions