Xinze Zhang

Add internal mirrors for conda, pip, brew, ubuntu, and transfer python env.

 
  • Aug 12, 2020

Thanks for mirrors.bfsu.edu.cn and aliyun.

ubuntu

Back up the source file:

sudo mv /etc/apt/sources.list /etc/apt/sources.list.bak
sudo touch /etc/apt/sources.list
sudo nano /etc/apt/sources.list

Then adding the follows to the new source file:

# 默认注释了源码镜像以提高 apt update 速度，如有需要可自行取消注释
deb http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse

deb http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse

deb http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse

deb http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse

deb http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse

Then check it:

sudo apt update

homebrew for macOS

Follow to https://mirrors.tuna.tsinghua.edu.cn/help/homebrew/

anaconda

Create the .condarc file if it does not exist.

touch ~/.condarc

Then copy the following mirrors to the .condarc:

channels:
  - http://mirrors.bfsu.edu.cn/anaconda/pkgs/main
  - http://mirrors.bfsu.edu.cn/anaconda/pkgs/free
  - http://mirrors.bfsu.edu.cn/anaconda/pkgs/r
  - http://mirrors.bfsu.edu.cn/anaconda/pkgs/pro
  - http://mirrors.bfsu.edu.cn/anaconda/pkgs/msys2
show_channel_urls: true
custom_channels:
  conda-forge: http://mirrors.bfsu.edu.cn/anaconda/cloud
  msys2: http://mirrors.bfsu.edu.cn/anaconda/cloud
  bioconda: http://mirrors.bfsu.edu.cn/anaconda/cloud
  menpo: http://mirrors.bfsu.edu.cn/anaconda/cloud
  pytorch: http://mirrors.bfsu.edu.cn/anaconda/cloud
  simpleitk: http://mirrors.bfsu.edu.cn/anaconda/cloud
  intel: http://mirrors.bfsu.edu.cn/anaconda/cloud

Then clean the cache and test it:

conda update --strict-channel-priority --all  

conda clean -i 
conda create -n ts python==3.8.10
conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 cudatoolkit=11.1 -c pytorch -c conda-forge

pip

Update the pip program to the latest.

pip install -i https://pypi.bfsu.edu.cn/simple pip -U

and then, change the mirror:

pip config set global.index-url https://mirrors.cloud.tencent.com/pypi/simple/

or

pip config set global.index-url https://mirrors.hust.edu.cn/pypi/web/simple

or using tencent: nano ~/.pip/pip.conf, and paste the following:

[global]
index-url = https://mirrors.cloud.tencent.com/pypi/simple/

[install]
trusted-host=mirrors.cloud.tencent.com

timeout = 120

Transfer the conda env to another machine.

  1. Backup the conda packages
conda list --explicit > packages.txt
  1. Backup the pip packages and Upload the packages.txt and requirements.txt to the target machine
pip list --format=freeze > requirements.txt
  1. Install the packages with conda on a new machine
conda create --name env_name --file packages.txt
  1. Install the pip in the new env
conda activate env_name
conda install pip
  1. Install the remaining packages with pip in the new env
pip install -r requirements.txt
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