| 10 Aug 2024 |
SomeoneSerge (matrix works sometimes) | yorickvp can you summarize your findings in a github issue? | 01:31:53 |
SomeoneSerge (matrix works sometimes) | * yorickvp can you summarize your findings in a github issue, and link th epr? | 01:32:12 |
SomeoneSerge (matrix works sometimes) | * yorickvp can you summarize your findings in a github issue, and link the pr? | 01:32:16 |
SomeoneSerge (matrix works sometimes) | In reply to @glepage:matrix.org https://github.com/mikex86/LibreCuda Rum and coke, melting ice | 01:34:23 |
yorickvp | In reply to @ss:someonex.net yorickvp can you summarize your findings in a github issue, and link the pr? My bisect findings is that this has been happening ever since the mixed gcc was introduced | 08:41:16 |
yorickvp | Thank you for the fix :) | 08:41:51 |
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SomeoneSerge (matrix works sometimes) | In reply to @yorickvp:matrix.org My bisect findings is that this has been happening ever since the mixed gcc was introduced Can you open an issue describing the pytorch situation nonetheless? | 14:00:03 |
Gaétan Lepage | Hey connor (he/him) (UTC-5),
I have a quick question regarding the torch update.
The CUDA build of pytorch now fails because of the addition of a new cuda capability 9.0a.
Someone suggested the following solutions:
https://github.com/NixOS/nixpkgs/pull/329836#issuecomment-2279508588
What is your opinion ? | 20:58:59 |
Gaétan Lepage | Should we remove the rm -rf cmake/Modules_CUDA_fix/{upstream,FindCUDA.cmake} line in our torch derivation or should we patch the regex in the cmake derivation to properly parse 9.0a ? | 21:00:00 |
connor (he/him) | That seems familiar | 23:08:17 |
connor (he/him) | Oh maybe check these out | 23:08:27 |