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NixOS CUDA

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CUDA packages maintenance and support in nixpkgs | https://github.com/orgs/NixOS/projects/27/ | https://nixos.org/manual/nixpkgs/unstable/#cuda57 Servers

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25 Sep 2024
@glepage:matrix.orgGaétan LepageBecause those geniuses are not able to tag a freaking release20:20:55
@glepage:matrix.orgGaétan Lepage https://github.com/triton-lang/triton/issues/3535 20:21:18
@ss:someonex.netSomeoneSerge (back on matrix)unstable-yyyy-mm-dd is ok for us; there were some minor but unresolved issues with the PR that does the bump though20:23:04
26 Sep 2024
@connorbaker:matrix.orgconnor (he/him)
In reply to @glepage:matrix.org
https://github.com/triton-lang/triton/issues/3535
Well that’s an infuriating read
16:33:18
@glepage:matrix.orgGaétan LepageIt's OK, OpenAI is just a small startup with only a few people. And deep learning is not even their main activity17:07:38
@connorbaker:matrix.orgconnor (he/him) Yeah and they're definitely not a for-profit organization 17:20:14
@adam:robins.wtf@adam:robins.wtf"open" is in their name17:24:26
@gsaurel:laas.frnim65sit's such a joke that I find it sad it was not opened one day earlier17:28:20
@glepage:matrix.orgGaétan Lepage "I propose a 200€ bounty for this PR. Please git tag the freaking commit. 21:09:04
@glepage:matrix.orgGaétan Lepage * "I propose a 200€ bounty for this PR. Please git tag the freaking commit." 21:09:07
@glepage:matrix.orgGaétan LepageThe ease of spinning up a release is a decreasing function of the project/company resources.21:09:40
@gsaurel:laas.frnim65ssame issue on a one-man project abandonned for the last year or so: https://github.com/bab2min/EigenRand/issues/5621:47:05
@gsaurel:laas.frnim65s * same issue on a one-man project abandonned for the last year or so: https://github.com/bab2min/EigenRand/issues/56 : <48h21:49:56
28 Sep 2024
@shekhinah:she.khinah.xyzshekhinah changed their profile picture.07:04:58
@kaya:catnip.eekaya 𖤐 changed their profile picture.16:55:46
1 Oct 2024
@-_o:matrix.org-_o joined the room.21:00:15
2 Oct 2024
@hexa:lossy.networkhexa Gaétan Lepage: please take care of tensordict 00:25:19
@hexa:lossy.networkhexaimage.png
Download image.png
00:25:22
@glepage:matrix.orgGaétan Lepage Sure, I will have a look right now.
I have not faced any failure on my end, weird...
06:21:33
@glepage:matrix.orgGaétan LepageIs this on staging ?06:23:26
@glepage:matrix.orgGaétan Lepage All failures that I was able to find on hydra are timeouts or upstream dependency failures.
I was able to build tensordict on all architectures...
07:05:50
@hexa:lossy.networkhexathis is on trunk11:03:39
@hexa:lossy.networkhexathen you probably need to increase meta.timeout11:04:00
@glepage:matrix.orgGaétan Lepage Now that you say it, I remember this package being stuck (indefinitly) during mass rebuilds.
I don't know if increasing the timeout will help. When everything works fine, it builds in ~1min...
Also, nothing has changed in the derivation for the past few months.
11:47:12
@justbrowsing:matrix.orgKevin Mittman (UTC-8)Back from vacation18:23:19
@justbrowsing:matrix.orgKevin Mittman (UTC-8)Redacted or Malformed Event18:32:05
@justbrowsing:matrix.orgKevin Mittman (UTC-8)
In reply to @ss:someonex.net
Kevin Mittman Hi! Do you know how dcgm uses cuda and why it has to link several versions?
See libdcgm_cublas_proxy${cudaMajor}.so
18:34:06
@justbrowsing:matrix.orgKevin Mittman (UTC-8)
In reply to @connorbaker:matrix.org
Kevin Mittman: does NVIDIA happen to have JSON (or otherwise structured) versions of their dependency constraints for packages somewhere, or are the tables on the docs for each respective package the only source? I'm working on update scripts and I'd like to avoid the manual stage of "go look on the website, find the table (it may have moved), and encode the contents as a Nix expression"
Not really ... wishlist for future. Which product / component is this?
18:46:04
@justbrowsing:matrix.orgKevin Mittman (UTC-8) SomeoneSerge (utc+3): seems like reply got stuck in a thread 18:46:54
3 Oct 2024
@connorbaker:matrix.orgconnor (he/him)
In reply to @justbrowsing:matrix.org
Not really ... wishlist for future. Which product / component is this?
That particular request was born out of frustration with TensorRT.
Any idea why the support matrix for TensorRT says only CUDNN 8.9.7 is supported (https://docs.nvidia.com/deeplearning/tensorrt/support-matrix/index.html) but the 24.09 container is shipping it with CUDNN 9.4 (https://docs.nvidia.com/deeplearning/frameworks/support-matrix/index.html)?
05:21:35

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