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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/#cuda58 Servers

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28 Jan 2023
@hexa:lossy.networkhexadid the same thing twice and it didnt20:46:50
@hexa:lossy.networkhexa * did the same thing twice and it didn't work the second time either20:46:55
@hexa:lossy.networkhexa it seems like patches in buildPythonPackage is too late? 20:47:38
@hexa:lossy.networkhexa which is surprising, since other dependencies are relaxed in postPatch there as well 20:48:01
@hexa:lossy.networkhexaoh, I think the path to the setup.py is different in there20:48:42
@hexa:lossy.networkhexabut then it should complain about the patch not being applicable20:48:52
@hexa:lossy.networkhexa
tensorflow> applying patch /nix/store/7sgd7aq8bz4vyp9hz0vd02gizv69mar9-relax-python-deps.patch
tensorflow> patching file tensorflow/tools/pip_package/setup.py
20:49:08
@hexa:lossy.networkhexa but in postPatch we patch ./setup.py 20:49:41
@hexa:lossy.networkhexamigrating to sed ._.20:50:08
@hexa:lossy.networkhexaeh, used the time producitvely to write a module for tts-server 🙂20:52:50
@hexa:lossy.networkhexabuilds on x86_64-linux21:02:12
@hexa:lossy.networkhexaumap-learn fails to build as well 🙂21:53:55
@hexa:lossy.networkhexabecause sklearn uses np.matrix with unsupported input 😐️21:54:17
@hexa:lossy.networkhexa Someone S: I guess we should merge tensorflow once I've confirmed it also builds on aarch64-linux, because even if it doesn't work for cuda or darwin we can fix that in another PR 21:55:42
@ss:someonex.netSomeoneSerge (back on matrix)Yes21:57:41
@hexa:lossy.networkhexasklearn updated, umap-learn fixed23:38:26
29 Jan 2023
@hexa:lossy.networkhexatf-cpu also builds on aarch64-darwin00:51:49
@ss:someonex.netSomeoneSerge (back on matrix)I had switched hercules to use just one worker because I got annoyed by several simultaneous tensorflow builds throttling each. Now tf spends ages in the queue...02:47:30
@ss:someonex.netSomeoneSerge (back on matrix) * I had switched hercules to use just one worker because I got annoyed by several simultaneous tensorflow builds throttling each other. Now tf spends ages in the queue...02:47:43
30 Jan 2023
@ss:someonex.netSomeoneSerge (back on matrix)
In reply to @hexa:lossy.network
tf-cpu also builds on aarch64-darwin
python3.10-tensorflow-gpu-2.11.0 builds
01:32:33
@hexa:lossy.networkhexaawesome01:32:43
@uri-canva:matrix.orgUri Baghintensorflow-probability bump if anyone's interested: https://github.com/NixOS/nixpkgs/pull/21242110:19:13
2 Feb 2023
@realjhol:matrix.orgrealjhol joined the room.21:32:33
@realjhol:matrix.orgrealjholhi - is it possible to install specific versions of tensorrt? I need to use v8.2.1.8, and I can't see any way to override the version in nixpkgs, or even use any version other than v8.4.0.621:34:45
@tpw_rules:matrix.orgtpw_ruleshttps://github.com/NixOS/nixpkgs/blob/6462686d521c54d1adf405b026e9ad0f5a8d5c99/pkgs/development/libraries/science/math/tensorrt/extension.nix this is where it is defined. you'll probably want to change the file21:36:54
@realjhol:matrix.orgrealjholyes - I have that pulled up21:37:16
@realjhol:matrix.orgrealjhol and there is the tensorRTVersions table 21:37:26
@realjhol:matrix.orgrealjhol-- which defines tensorrt versions and their compatibility with versions of cuda21:37:42
@realjhol:matrix.orgrealjhol currently only 8.4.0 is supported in the table 21:37:55
@realjhol:matrix.orgrealjholhypothetically if there was more than one supported version in the table, I can't see how to reference that derrivation21:38:25

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