@@ -27,10 +27,34 @@ pip install torch==2.0.0+cu118 torchvision==0.15.1+cu118 torchaudio==2.0.1+cu118
2727### conda
2828添加清华镜像源
2929``` shell
30- conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
31- conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
32- conda config --set show_channel_urls yes
33- conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
30+ # 若不含有`~/.condarc`,生成它
31+ ls ~ /.condarc || conda config --set show_channel_urls yes
32+
33+ # 之后配置镜像源(南科大提供的额外软件包镜像可以加速安装CUDA版Pytorch)
34+ tee ~ /.condarc > /dev/null << EOF
35+ channels:
36+ - defaults
37+ show_channel_urls: true
38+ default_channels:
39+ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
40+ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
41+ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
42+ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
43+ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
44+ custom_channels:
45+ msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
46+ menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
47+ pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
48+ bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
49+ simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
50+ pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
51+ conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
52+ deepmodeling: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
53+ nvidia: https://mirrors.sustech.edu.cn/anaconda-extra/cloud
54+
55+ envs_dirs:
56+ - your-path/anaconda3/envs # 替换为您的路径(另外,若安装的是miniconda3,请自行替换),不设置此项有可能安装在` ~/.conda/envs` 中
57+ EOF
3458```
3559#### 安装最新版
3660``` shell
0 commit comments