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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 pyt
by hobofan 2y ago
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
- fire_lake 2y agoIndeed. I gave up on this and just build in Docker.