[PATCH] D141230: [clang-format-diff.py] give clang-format-diff a job pool (10x speed)
MyDeveloperDay via Phabricator via cfe-commits
cfe-commits at lists.llvm.org
Thu Jan 12 07:16:12 PST 2023
MyDeveloperDay requested changes to this revision.
MyDeveloperDay added a comment.
This revision now requires changes to proceed.
On my laptop running
import os;
import multiprocessing
def main():
num = len(os.sched_getaffinity(0))
numcpu = multiprocessing.cpu_count()
print ('affinity', num, '\n');
print ('cpucount', numcpu, '\n');
if __name__ == '__main__':
main()
produces
affinity 16
cpucount 16
Does the * 8 mean I might get 128?
Do I want 16 parallel clang-format processes running at once? (especially if some of the files are memory hungry)
I'm with @owenpan here I am happy to use a -j N option when I need more power, and N default should be 1 otherwise we could be causing a regression, I'm not a fan of processes that assume thats the only thing running on my machine (cough visual studio!), and there always should be some way of saying do what we did before.
================
Comment at: clang/tools/clang-format/clang-format-diff.py:106
+ try:
+ procs = [None for i in range(len(os.sched_getaffinity(0)) * 8)]
+ except AttributeError as e:
----------------
is this 128 parallel processes?
================
Comment at: clang/tools/clang-format/clang-format-diff.py:115
+ # determined.
+ procs = [None for i in range(8)]
----------------
is 8 a good number here?
Repository:
rG LLVM Github Monorepo
CHANGES SINCE LAST ACTION
https://reviews.llvm.org/D141230/new/
https://reviews.llvm.org/D141230
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