pip install flash_attn 或者,如果你之前是通过源代码进行编译的,确保在编译命令中指定了正确的CUDA路径和编译器选项。 通过以上步骤,你应该能够解决编译'flash_attn_2_cuda'扩展时遇到的Microsoft Visual C++版本问题。如果问题仍然存在,请检查是否有其他依赖项或配置问题。
chuangzhidancommentedDec 23, 2024 You should Install torch 2.4 (if that's the verison you want) Install flash-attn (latest version 2.7.0.post2 should work) how do i know which flash-attn version and torch verison to install? i have the same problem,it's really annoying root@e4b47fc2098...
Since I can't find a way to install 2.2 with rocm I kind just have to go with 2.6.0 which, again, results in this error. I'm pretty new to python and ai in general and am further more limited in my possiblities by using nixos. What steps should I take to resolve this error?
发现是本地的pytorch版本对不上,lash_attn-2.5.6+cu122torch2.2cxxxx 需要torch2.2,因此直接 pipinstalltorch==2.2.0 即可解决。
Build cuda_12.1.r12.1/compiler.32415258_0 最后解决: 先卸载原本的torch: pip uninstall torch torchvision torchaudio 然后安装12.1的: pip install torch torchvision torchaudio -f https://download.pytorch.org/whl/cu121/torch_stable.html 最后加载成功codellama...
右键,复制链接, 在linux中使用wget + 链接进行whl安装包的下载: wget https://github.com/Dao-AILab/flash-attention/releases/download/v2.6.3/flash_attn-2.6.3+cu123torch2.3cxx11abiFALSE-cp310-cp310-linux_x86_64.whl 最后使用pip install whl路径,下载好flash-attn,大功告成!
解决方法 方法一 从官方release种找到对应cuda版本和torch版本的whl文件,并下载 在本地使用pip3 install ${whl}的方式安装 方法二 从源码直接编译,详见官方github 作者:Garfield2005
最后解决: 先卸载原本的torch: pip uninstall torch torchvision torchaudio 然后安装12.1的: pip install torch torchvision torchaudio -f https://download.pytorch.org/whl/cu121/torch_stable.html 最后加载成功codellama 本站仅提供存储服务,所有内容均由用户发布,如发现有害或侵权内容,请点击举报。打开...
然后安装: pip install flash_attn-2.7.3+cu11torch2.1cxx11abiTRUE-cp310-cp310-linux_x86_64.whl 最后运行还是失败: python generate.py --task t2v-1.3B --size 832*480 --ckpt_dir ./Wan2.1-T2V-1.3B --prompt "两个小男孩在草地上玩耍" (museTalk) λ localhost /paddle/www/txsb/api/Wan2.1...
&& apt-get install --yes --no-install-recommends git \ \ && . "$CONDA_DIR/etc/profile.d/conda.sh" \ && conda activate "$CONDA_ENV" \ && sg "$CONDA_GROUP" -c "pip install --no-cache-dir \ -r /tmp/$CONDA_ENV/flash-attn.requirements.txt" \ \ && apt-get ...