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author | Antony Lee <anntzer.lee@gmail.com> | 2021-08-02 20:37:30 +0200 |
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committer | Antony Lee <anntzer.lee@gmail.com> | 2021-08-03 20:37:57 +0200 |
commit | 557bb33ff71c6aae64a85e58d2b78b2c8877a0f5 (patch) | |
tree | a913025052d310a8466cc7e66e2462660481073e /numpy/array_api/_elementwise_functions.py | |
parent | f25905b5d25a2fca1e23adad11d4597a1e658276 (diff) | |
download | numpy-557bb33ff71c6aae64a85e58d2b78b2c8877a0f5.tar.gz |
PERF: Avoid using `@recursive`.
None of the functions decorated with `@recursive` actually need to close
over internal variables, so they can be lifted to become toplevel
recursive functions which avoid the need for an `@recursive` decorator.
(No change was made to the logic of any of the functions.)
As it turns out, the `@recursive` decorator adds a lot of overhead:
`python runtests.py --bench bench_io` reports a ~15-20% perf gain(!)
for `loadtxt` from this PR. (`_recursive_mask_or` seems less likely to
matter performance-wise, but I also lifted it out for good measure...
and just deleted the decorator's implementation.)
Diffstat (limited to 'numpy/array_api/_elementwise_functions.py')
0 files changed, 0 insertions, 0 deletions