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Package Details: python-xformers-bin 0.0.33.post1-1
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| Git Clone URL: | https://aur.archlinux.org/python-xformers-bin.git (read-only, click to copy) |
|---|---|
| Package Base: | python-xformers-bin |
| Description: | Transformers building blocks, supporting a composable construction |
| Upstream URL: | https://github.com/facebookresearch/xformers |
| Licenses: | BSD-3-Clause |
| Conflicts: | python-xformers |
| Provides: | python-xformers |
| Submitter: | envolution |
| Maintainer: | envolution |
| Last Packager: | envolution |
| Votes: | 0 |
| Popularity: | 0.000000 |
| First Submitted: | 2024-12-01 17:25 (UTC) |
| Last Updated: | 2025-11-14 02:19 (UTC) |
Dependencies (12)
- python
- python-numpy (python-numpy-gitAUR, python-numpy1AUR, python-numpy-mkl-binAUR, python-numpy-mkl-tbbAUR, python-numpy-mklAUR)
- python-pytorch (python-pytorch-cxx11abiAUR, python-pytorch-cxx11abi-optAUR, python-pytorch-cxx11abi-cudaAUR, python-pytorch-cxx11abi-opt-cudaAUR, python-pytorch-cxx11abi-rocmAUR, python-pytorch-cxx11abi-opt-rocmAUR, 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-safetensorsAUR (python-safetensors-binAUR)
- python-sentencepieceAUR (python-sentencepiece-gitAUR, python-sentencepiece-binAUR)
- python-installer (make)
- python-wheel (make)
- cuda (cuda11.1AUR, cuda-12.2AUR, cuda12.0AUR, cuda11.4AUR, cuda11.4-versionedAUR, cuda12.0-versionedAUR, cuda-12.5AUR, cuda-12.9AUR) (optional) – cuda optimizations
- python-pytorch-cuda (python-pytorch-cxx11abi-opt-cudaAUR, python-pytorch-cuda12.9AUR, python-pytorch-opt-cuda12.9AUR, python-pytorch-opt-cuda) (optional) – cuda optimizations WITHOUT AVX2
- python-pytorch-opt-cuda (optional) – cuda with AVX2 optimizations
- python-torchvision (python-torchvision-gitAUR, python-torchvision-rocm-binAUR, python-torchvision-cuda12.9AUR, python-torchvision-rocmAUR, python-torchvision-rocmAUR, python-torchvision-cuda) (optional) – torchvision usage
- python-transformersAUR (optional) – transformers usage