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Package Details: python-pytorch-mkl-cuda-git 1.3.1.r22820.1350b99de4-1
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Git Clone URL: | https://aur.archlinux.org/python-pytorch-git.git (read-only, click to copy) |
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Package Base: | python-pytorch-git |
Description: | Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA and MKL-DNN) |
Upstream URL: | https://pytorch.org |
Licenses: | BSD |
Conflicts: | python-pytorch |
Provides: | python-pytorch, python-pytorch-cuda |
Submitter: | zsrkmyn |
Maintainer: | None |
Last Packager: | hottea |
Votes: | 2 |
Popularity: | 0.000000 |
First Submitted: | 2017-03-15 20:57 (UTC) |
Last Updated: | 2019-11-28 13:10 (UTC) |
Dependencies (28)
- cuda (cuda-11.0, cuda11.1)
- cudnn
- ffmpeg (ffmpeg-cuda, ffmpeg-nonvidia, ffmpeg-libfdk_aac, ffmpeg-intel-full-git, ffmpeg-v4l2-request-git, ffmpeg-mmal, ffmpeg-amd-full, ffmpeg-nvcodec-11-1-git, ffmpeg-amd-full-git, ffmpeg-mpp, ffmpeg-headless, ffmpeg-full, ffmpeg-decklink, ffmpeg-obs, ffmpeg-full-git, ffmpeg-git, ffmpeg-nocuda)
- gflags (gflags-git)
- google-glog (glog-git)
- leveldb (leveldb-git)
- lmdb (lumosql, lmdb-git)
- magma (magma-cuda)
- nccl (nccl-git)
- opencv (opencv2, opencv-cuda)
- openmp (openmp-svn)
- protobuf (protobuf-git)
- pybind11 (pybind11-git)
- python-future
- python-numpy (python-numpy1.22, python-numpy-flame, python-numpy-mkl-bin, python-numpy-git, python-numpy-openblas, python-numpy-mkl)
- python-yaml (python-yaml-git)
- qt5-base (qt5-base-git, qt5-base-headless)
- zeromq (zeromq-draft, zeromq-git)
- cmake (cmake-git) (make)
- cuda (cuda-11.0, cuda11.1) (make)
- Show 8 more dependencies...
Required by (219)
- ballontranslator-git (requires python-pytorch) (optional)
- fairseq (requires python-pytorch)
- fairseq-git (requires python-pytorch)
- manga-ocr-git (requires python-pytorch)
- mitsuba3-git (requires python-pytorch)
- monailabel (requires python-pytorch)
- nanobind (requires python-pytorch) (check)
- netron (requires python-pytorch) (optional)
- netron-cli (requires python-pytorch) (optional)
- nvidia-vpf (requires python-pytorch-cuda) (optional)
- nvidia-vpf (requires python-pytorch-cuda) (make)
- nvidia-vpf-git (requires python-pytorch-cuda)
- python-apex-git (requires python-pytorch-cuda)
- python-assistant (requires python-pytorch)
- python-basicsr (requires python-pytorch)
- python-basicsr-cuda (requires python-pytorch)
- python-bitsandbytes-cuda121 (requires python-pytorch)
- python-botorch (requires python-pytorch)
- python-catalyst (requires python-pytorch)
- python-cebra (requires python-pytorch)
- Show 199 more...
Latest Comments
1 2 3 Next › Last »
GregTheMadMonk commented on 2023-04-03 13:38 (UTC)
I'm trying to build it with
makepkg
and sometimes I getThe file is present in the filesystem. Did anyone else have this problem? There's a single unresolved github issue mentioning it and that's all I could find online.
dreieck commented on 2023-03-18 09:21 (UTC)
python-sympy
seems to be needed to be added as dependency, since recently.See also:
python -c 'import torch'
otherwise most probably would fail with:Regards!
belgium commented on 2022-05-16 14:20 (UTC)
Since a few days the git clone fails:
fatal: bad object refs/remotes/origin/clee2000/ignore-shard-1
trougnouf commented on 2021-12-20 21:38 (UTC) (edited on 2021-12-20 21:42 (UTC) by trougnouf)
I can't install and I don't understand how to resolve the conflict.
edit: removing python-pytorch-cuda first with
sudo pacman -Rd --nodeps python-pytorch-cuda
did it.jiangjiechu commented on 2021-07-01 08:14 (UTC)
@iago-lito Actually I didn't build pytorch from this aur but from the vallina source from github. As for the TORCH_CUDA_ARCH_LIST,the cmakefile can automatically detec,so remove this line and let the program decide. There might be another reason for the slow compiling issue. In Aten submodule a CMakeFile creates tons of ".AVX.cpp..AVX.cpp" file recursively(almost 40,000+),which not only slows down the build, but also yeilds multi-declaration error at link time. You have to carefully remove all the duplicates of these files in Aten folder and caffe2 folder.
iago-lito commented on 2021-06-30 09:11 (UTC)
@jiangjiechu Thank you :) It does compile now with
CC=gcc-10 CXX=g++-10 yay -S --editmenu python-pytorch-git
. Obviously it takes a very long time.. too long yesterday before I actually had to go home. I read the following line from the PKGBUILD:.. so I guess I could speedup the speedup the process by only keeping the good item in the above list, but how do I know which one to keep?
jiangjiechu commented on 2021-06-29 08:55 (UTC)
@iago-lito, seems that gcc 11.1.0 changes the implementation of _mm_storeu_si(),to change to gcc-10, simply use
CC=gcc-10 CXX=g++-10 python setup.py install
can build.iago-lito commented on 2021-06-29 08:22 (UTC)
@jiangjiechu Well, my
gcc --version
yieldsgcc (GCC) 11.1.0
. But I do have gcc 10 installed andgcc-10 --version
yieldsgcc-10 (Arch Linux 10.2.0-3) 10.2.0
. Do you think the package is invoking the wrong compiler? If yes, is that a packaging bug? How can I work around it?jiangjiechu commented on 2021-06-25 16:20 (UTC)
The problem is incompatibility of compiler gcc with XNNPACK,use gcc-10 can solve
iago-lito commented on 2021-06-17 13:51 (UTC)
Build failed today after
yay -S --needed python-pytorch-cuda-git
with1 2 3 Next › Last »