烈火灼冰 - xformers
type: channel
link: https://4c43.work/index.php/tag/xformers/
items: 【快捷查询】pytorch\xformers\python版本对应关系 | pytorch\xformers\python version correspondence

【快捷查询】pytorch\xformers\python版本对应关系 | pytorch\xformers\python version correspondence
type: item
date: 2024-05-30T11:24:00+00:00
description: 注意：仅指预构建的轮子 (其实之前的构建没那么全的，不知道是哪位大好人给补齐了各版本的。。。所以其实做这个表也没啥用了) xformers pytorch python cuda 0.0.27.post1 >= 2.4 py38-py311 11.8 & 12.1 0.0.27 >= 2.2 py38-py312 11.8 & 12.1 0.0.26.post1 >= 2.1 py38-py311 11.8 & 12.1 0.0.26 >= 2.1 py38-py311 11.8 & 12.1 0.0.25.post1 >= 2.1 py38-py311 11.8 & 12.1 0.0.25 >= 2.1 py38-py311 11.8 & 12.1 0.0.24 >= 2.1 py38-py311 11.8 & 12.1 0.0.23.post1 >= 1.12 py38-py311 11.8 & 12.1 0.0.23 >= 1.12 py38-py311 11.8 & 12.1 0.0.22.post7 >= 1.12 py38-py311 11.8 & 12.1 0.0.22.post4 >= 1.12 py38-py311 11.8 & 12.1 0.0.22.post3 >= 1.12 py38-py311 11.8 & 12.1, 12.1 For Only Linux 0.0.22.post2 >= 1.12 py38-py311 11.8 For Only Windows 注意，0.0.27.post1的预构建whl文件需要pytorch2.4.0 Installing xFormers (RECOMMENDED, linux) Install latest stable with conda: Requires PyTorch 2.3.1 installed with conda conda install xformers -c xformers (RECOMMENDED, linux & win) Install latest stable with pip: Requires PyTorch 2.3.1 # cuda 11.8 version pip3 install -U xformers --index-url https://download.pytorch.org/whl/cu118 # cuda 12.1 version pip3 install -U xformers --index-url https://download.pytorch.org/whl/cu121 Development binaries: # Use either conda or pip, same requirements as for the stable version above conda install xformers -c xformers/label/dev pip install --pre -U xformers Install from source: If you want to use with another version of PyTorch for instance (including nightly-releases) # (Optional) Makes the build much faster pip install ninja # Set TORCH_CUDA_ARCH_LIST if running and building on different GPU types pip install -v -U git+https://github.com/facebookresearch/xformers.git@main#egg=xformers # (this can take dozens of minutes)