常用的深度学习环境配置

安装conda

下载或从别的服务器传输Anaconda3-2021.11-Linux-x86_64.sh->
设置可执行chmod + x Anaconda3-2021.11-Linux-x86_64.sh->
安装bash Anaconda3-2021.11-Linux-x86_64.sh
激活conda环境

 source ~/.bashrc

设置国内镜像安装源vim ~/.condarc

channels:
  - defaults
show_channel_urls: true
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - 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
  pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

创建新的conda环境并切换

conda create -n py38 python=3.8
conda activate py38

安装pytorch

具体命令可查看pytorch官网

conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch