直接上例子start.sh
conda create -n wjntorch python=3.7 -y source activate wjntorch cd packages/ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/ conda config --set show_channel_urls yes conda install ipykernel -y python -m ipykernel install --user --name wjntorch --display-name "wjntorch" -y pip3 install ordered_set conda install seaborn -y conda install statsmodels -y conda install Jinja2 -y # wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64/pytorch-1.7.1-py3.7_cuda10.2.89_cudnn7.6.5_0.tar.bz2 # wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64/torchvision-0.8.2-py37_cu102.tar.bz2 # wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64/torchaudio-0.7.2-py37.tar.bz2 # wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64/cudatoolkit-10.2.89-hfd86e86_1.conda # wget https://data.pyg.org/whl/torch-1.7.0%2Bcu102/torch_scatter-2.0.7-cp37-cp37m-linux_x86_64.whl conda install --use-local pytorch-1.7.1-py3.7_cuda10.2.89_cudnn7.6.5_0.tar.bz2 -y conda install --use-local torchvision-0.8.2-py37_cu102.tar.bz2 -y conda install --use-local torchaudio-0.7.2-py37.tar.bz2 -y conda install --use-local cudatoolkit-10.2.89-hfd86e86_1.conda -y conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.2 -c pytorch -y pip3 install torch_scatter-2.0.7-cp37-cp37m-linux_x86_64.whl
- -y是为了在安装过程中跳过确认环节，一路畅通无阻
- 为了让source命令正常执行，请按bash start.sh执行文件
- 为了让安装过程坐上火箭可以加入清华源
- 一些比较大的包可以用wget命令先下载到本地，然后用conda或者是pip本地化安装
