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[ADD] odoo-shippable: add env var to avoid numpy weird errors#401
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moylop260 merged 1 commit intoVauxoo:masterfrom Apr 19, 2021
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Currently, if numpy is available in the modules even if you are not using it
Odoo try to compile and the system is down only for a type of processor
Currently we know 2 server reproducing the error:
B&F-production
Runbot
More info about:
numpy/numpy#17674
numpy/numpy#17759
It is reproducing in the following MR:
https://git.vauxoo.com/vauxoo/lasec/-/merge_requests/197
Check the following discussion https://odoo-community.org/groups/contributors-15/contributors-186006?mode=thread&date_begin=&date_end=
OpenBLAS creates a number of threads equal to the number of core threads available: 56 in my case (production server),
so it quickly reached limit_memory_hard
and the process was killed (SIGSEGV)
Forcing OPENBLAS_NUM_THREADS=1 fixed the issue.
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Could you review this, please? Regards. |
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Description of the issue/feature this PR addresses:
Currently, if numpy is available in the modules even if you are not using it
Odoo try to compile and the system is down only for a type of processor
Currently we know 2 server reproducing the error:
More info about:
numpy/numpy#17674
numpy/numpy#17759
It is reproducing in the following MR:
https://git.vauxoo.com/vauxoo/lasec/-/merge_requests/197
Check the following discussion https://odoo-community.org/groups/contributors-15/contributors-186006?mode=thread&date_begin=&date_end=
OpenBLAS creates a number of threads equal to the number of core threads available: 56 in my case (production server),
so it quickly reached limit_memory_hard
and the process was killed (SIGSEGV)
Forcing OPENBLAS_NUM_THREADS=1 fixed the issue.
Current behavior before PR:
Weird errors related to numpy.
Desired behavior after PR is merged:
No errors related to numpy.
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