No CUDA runtime is found, using CUDA_HOME='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1'
(lmflow) PS C:\Users\Satan> pip install deepspeed==0.8.3 Looking in indexes: https://mirrors.aliyun.com/pypi/simple/ Collecting deepspeed==0.8.3 Using cached https://mirrors.aliyun.com/pypi/packages/0f/c0/9b57e9ec56f6f405726a384b109f8da1267e41feea081850c2fce1735712/deepspeed-0.8.3.tar.gz (765 kB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [17 lines of output]
No CUDA runtime is found, using CUDA_HOME='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1'
test.c
LINK : fatal error LNK1181: 无法打开输入文件“aio.lib”
Traceback (most recent call last):
File "
note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed
× Encountered error while generating package metadata. ╰─> See above for output.
note: This is an issue with the package mentioned above, not pip. hint: See above for details. (lmflow) PS C:\Users\Satan> pip install aio
Looking in indexes: https://mirrors.aliyun.com/pypi/simple/ ERROR: Could not find a version that satisfies the requirement aio (from versions: none) ERROR: No matching distribution found for aio
Thanks for your interest in LMFlow! Looks like the installation of deepspeed is not well-supported in Windows 10, as an exactly same issues have been mentioned under deepspeed's official repository and not resolved yet. We recommend you to try a Linux server/Google Colab/Virtual machine first. We may revisit this issue after the support of deepspeed in Windows 10 is available. Thanks 😄
You may need to downgrade the deepspeed version to 0.8.2 or 0.8.0. pip install deepspeed==0.8.2.
Also, if this can not work, you can try to switch your pip mirror by modifying /etc/apt/sources.list to other mirror address.
安装lmflow 环境中安装deepspeed 出现这个,如何解决
You may need to downgrade the deepspeed version to 0.8.2 or 0.8.0. pip install deepspeed==0.8.2.
Also, if this can not work, you can try to switch your pip mirror by modifying /etc/apt/sources.list to other mirror address.
Please take a look at this. If you still have issues, feel free to put in more information.
Thanks
This issue has been marked as stale because it has not had recent activity. If you think this still needs to be addressed please feel free to reopen this issue. Thanks