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It's rare, but in my experience it can still be very impactful and hindering adoption.

E.g. that practice seems to be quite prevalent in a few high-profile pytorch packages, which caused our team a lot of pain when trying to enable reproducible cross-platform builds 1-2 years ago




Indeed. I gave up on this and just build in Docker.




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