@@ -27,10 +27,34 @@ pip install torch==2.0.0+cu118 torchvision==0.15.1+cu118 torchaudio==2.0.1+cu118
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### conda
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添加清华镜像源
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``` shell
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- conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
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- conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
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- conda config --set show_channel_urls yes
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- conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
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+ # 若不含有`~/.condarc`,生成它
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+ ls ~ /.condarc || conda config --set show_channel_urls yes
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+
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+ # 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)
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+ tee ~ /.condarc > /dev/null << EOF
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+ channels:
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+ - defaults
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+ show_channel_urls: true
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+ default_channels:
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+ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
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+ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
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+ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
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+ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
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+ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
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+ custom_channels:
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+ msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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+ menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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+ pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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+ bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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+ simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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+ pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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+ conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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+ deepmodeling: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
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+ nvidia: https://mirrors.sustech.edu.cn/anaconda-extra/cloud
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+
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+ envs_dirs:
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+ - 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
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+ EOF
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```
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#### 安装最新版
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``` shell
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