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| author | Developer-Ecosystem-Engineering <65677710+Developer-Ecosystem-Engineering@users.noreply.github.com> | 2022-08-23 12:44:35 -0700 |
|---|---|---|
| committer | Developer-Ecosystem-Engineering <65677710+Developer-Ecosystem-Engineering@users.noreply.github.com> | 2022-12-06 17:22:07 -0800 |
| commit | 93cbbbef2318eb9a5478c846a60a55b382e4c60d (patch) | |
| tree | bb148a7670aa9672b01627a014d1075a80991902 /benchmarks | |
| parent | 28c81bc4b287255c4570a58e6d6bcd86600cd0b5 (diff) | |
| download | numpy-93cbbbef2318eb9a5478c846a60a55b382e4c60d.tar.gz | |
ENH: Add SIMD versions of bool logical_and, logical_or, logical_not and absolute
NumPy has SIMD versions of BOOL `logical_and`, `logical_or`, `logical_not`, and `absolute` for SSE2. The changes here replace that implementation with one that uses their universal intrinsics. This allows other architectures to have SIMD versions of the functions too.
BOOL `logical_and` and `logical_or` are particularly important for NumPy as that's how `np.any()` / `np.all()` are implemented.
Diffstat (limited to 'benchmarks')
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