Here are some scripts to initialize your python environment to mirror your repo.
For Anaconda:
cat > $HOME/.condarc << 'EOF' channels: - defaults show_channel_urls: true channel_alias: https://mirrors.tuna.tsinghua.edu.cn/anaconda default_channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2 custom_channels: conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud EOF conda clean -i
For PIP
pip config set global.index-url http://pypi.doubanio.com/simple pip config set global.trusted-host pypi.doubanio.com
For PyTorch
export TORCH_VERSION=1.12.0+cu116 export TORCH_AUDIO_VERSION=0.12.0+cu116 export TORCH_VISION_VERSION=0.13.0+cu116 export TORCH_TEXT_VERSION=0.13.0 export TORCH_MIRROR=https://mirror.sjtu.edu.cn/pytorch-wheels/torch_stable.html pip install --no-cache-dir \ torch==$TORCH_VERSION \ torchaudio==$TORCH_AUDIO_VERSION \ torchvision==$TORCH_VISION_VERSION \ torchtext==$TORCH_TEXT_VERSION \ -f $TORCH_MIRROR
Torch in Dockerfile
ARG TORCH_VERSION=1.12.0+cu116 ARG TORCH_AUDIO_VERSION=0.12.0+cu116 ARG TORCH_VISION_VERSION=0.13.0+cu116 ARG TORCH_TEXT_VERSION=0.13.0 ARG TORCH_MIRROR=https://mirror.sjtu.edu.cn/pytorch-wheels/torch_stable.html # ARG TORCH_MIRROR=https://download.pytorch.org/whl/torch_stable.html # Install torch packages RUN pip install --no-cache-dir \ torch==$TORCH_VERSION \ torchaudio==$TORCH_AUDIO_VERSION \ torchvision==$TORCH_VISION_VERSION \ torchtext==$TORCH_TEXT_VERSION \ -f $TORCH_MIRROR