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python3Packages.pytorch: 1.5.1 -> 1.6.0 #94156
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@ofborg build python37Packages.pytorch python38Packages.pytorch |
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having some issues with the cuda versions, but the default CPU versions seem fine:
https://github.com/NixOS/nixpkgs/pull/94156
5 packages failed to build:
python37Packages.pyro-ppl python37Packages.pytorchWithCuda python37Packages.tensorboardx python38Packages.pyro-ppl python38Packages.tensorboardx
17 packages built:
python37Packages.ignite python37Packages.pytorch python37Packages.pytorch-metric-learning python37Packages.pywick python37Packages.skorch python37Packages.tensorly python37Packages.torchgpipe python37Packages.torchvision python38Packages.ignite python38Packages.pytorch python38Packages.pytorch-metric-learning python38Packages.pytorchWithCuda python38Packages.pywick python38Packages.skorch python38Packages.tensorly python38Packages.torchgpipe python38Packages.torchvision
gits to cuda failure: https://gist.github.com/jonringer/5bffe6be2bdbaa8d2b92688c1a3b528f
Strange, builds here with CUDA and Python 3.7:
|
I forgot to turn on my extra 256GB of swap space, the compiler could have OOM'd |
The luxury of having too many cores? ;) |
Thanks AMD! :D |
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the cpu package build fine, and the other failures aren't related to pytorch bump
I haven't done anything locally to enable cuda, so I'll take @danieldk 's word that it works under normal circumstances :)
I'm envious ;). Though I am also enjoying AMD's resurgence with a 3700X at home. |
Motivation for this change
Changelog:
https://github.com/pytorch/pytorch/releases/tag/v1.6.0
This release adds automatic mixed precision π.
Tested CUDA build β
Things done
sandbox
innix.conf
on non-NixOS linux)nix-shell -p nixpkgs-review --run "nixpkgs-review wip"
./result/bin/
)nix path-info -S
before and after)