1、安装 anaconda
anacoda地址:https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/
CUDA NVIDIA下载:文章源自十年又十年-https://www.bbigsun.com/484.html
新版本:https://www.nvidia.cn/Download/index.aspx?lang=cn文章源自十年又十年-https://www.bbigsun.com/484.html
历史版本:https://www.nvidia.cn/Download/Find.aspx?lang=cn文章源自十年又十年-https://www.bbigsun.com/484.html
文章源自十年又十年-https://www.bbigsun.com/484.html
CUDA下载地址(清华镜像源):CUDA Toolkit 10.1 update1 Archive | NVIDIA Developer文章源自十年又十年-https://www.bbigsun.com/484.html
参考: https://blog.csdn.net/weixin_44904136/article/details/123285884文章源自十年又十年-https://www.bbigsun.com/484.html
2、安装 Pytorch
https://pytorch.org/get-started/locally/ 文章源自十年又十年-https://www.bbigsun.com/484.html
# CPU 版本
pip install torch torchvision torchaudio
# GPU 版本
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
3、安装 Jupyter notebook
pip install jupyter notebook -i https://mirrors.aliyun.com/pypi/simple/
文章源自十年又十年-https://www.bbigsun.com/484.html文章源自十年又十年-https://www.bbigsun.com/484.html 纸上得来终觉浅,绝知此事要躬行。
17688689121
我的微信
微信扫一扫
评论