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