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Package Details: python-xformers 0.0.35-1
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| Git Clone URL: | https://aur.archlinux.org/python-xformers.git (read-only, click to copy) |
|---|---|
| Package Base: | python-xformers |
| Description: | Transformers building blocks, supporting a composable construction |
| Upstream URL: | https://github.com/facebookresearch/xformers |
| Licenses: | BSD-3-Clause |
| Submitter: | actionless |
| Maintainer: | lubosz |
| Last Packager: | lubosz |
| Votes: | 0 |
| Popularity: | 0.000000 |
| First Submitted: | 2024-12-28 05:26 (UTC) |
| Last Updated: | 2026-04-08 19:41 (UTC) |
Dependencies (20)
- cuda (cuda11.1AUR, cuda-12.2AUR, cuda12.0AUR, cuda11.4AUR, cuda-12.5AUR, cuda-12.9AUR, cuda-12.8AUR, cuda-pascalAUR)
- glibc (glibc-gitAUR, glibc-eacAUR, glibc-git-native-pgoAUR)
- libgcc (libgcc-snapshotAUR)
- libstdc++ (libstdc++-snapshotAUR)
- python
- python-matplotlib (python-matplotlib-gitAUR)
- python-numpy (python-numpy-gitAUR, python-numpy-mkl-binAUR, python-numpy1AUR, python-numpy-mkl-tbbAUR, python-numpy-mklAUR)
- python-nvidia-ml-py
- python-pandas
- python-pytest
- python-pytorch (python-pytorch-cuda12.9AUR, python-pytorch-opt-cuda12.9AUR, python-pytorch-cuda, python-pytorch-opt, python-pytorch-opt-cuda, python-pytorch-opt-rocm, python-pytorch-rocm)
- python-scipy (python-scipy-gitAUR, python-scipy-mkl-binAUR, python-scipy-mkl-tbbAUR, python-scipy-mklAUR)
- python-tqdm
- python-triton
- python-typing_extensions
- git (git-gitAUR, git-glAUR, git-wd40AUR) (make)
- ninja (ninja-gitAUR, ninja-memAUR, ninja-noemacs-gitAUR, ninja-kitwareAUR, ninja-fuchsia-gitAUR, n2-ninja-symlinkAUR) (make)
- python-build (make)
- python-installer (make)
- python-setuptools (make)
Latest Comments
lubosz commented on 2026-02-11 19:50 (UTC)
v0.0.34has been released and in addition this package does not build since it callsg++-14without explicitly depending on it, and not being needed as well.Feel free to take my patches: https://github.com/lubosz/python-xformers/commits/v0.0.34/
NVCC_CCBINfrom the environment, which is set by thecudapackage.actionless commented on 2025-08-02 18:59 (UTC)
i currently have to use older version of driver stack, cuda and pytorch, so i can't continue maintaining the package at least for the near future due to: