Intro

This repo records some steps to initialize my faviorate work environment (including oh-my-zsh, conda, pytorch) on a new Ubuntu machine.

Commonly used commands

df -h          # see the memory usage of each disk
du -d 1 -h     # see the memory usage of a folder

Clash

quick links: Tutorial, clash

# download
unzip Clash.zip    # online link is not supported anymore. Use our zip file.
wget -O config.yaml [代理商提供的订阅链接]    # your vpn config

# run
cd Clash
./clash -d .

# Open another terminal and set proxy for the system. 
export https_proxy=http://127.0.0.1:7890 http_proxy=http://127.0.0.1:7890 all_proxy=socks5://127.0.0.1:7891

# cancel proxy
unset https_proxy
unset http_proxy
unset all_proxy

ZSH

quick-links: oh-my-zsh, zsh-autosuggestions

Install

# install oh-my-zsh. Need Clash!
sh -c "$(wget https://raw.github.com/ohmyzsh/ohmyzsh/master/tools/install.sh -O -)"

# install zsh-autosuggestions
git clone https://github.com/zsh-users/zsh-autosuggestions ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-autosuggestions

To use zsh as the default one, add the following two lines to ~/.bash_profile and reconnect the server.

export SHELL=`which zsh`
[ -z "$ZSH_VERSION" ] && exec "$SHELL" -l

Modify the defualt theme and add the plugin (inside ~/.zshrc):

ZSH_THEME="flazz"

plugins=( 
    git
    zsh-autosuggestions
)

Conda

quick-links: miniconda, Anaconda

# Download Miniconda (Linux, python 3.8)
wget https://repo.anaconda.com/miniconda/Miniconda3-py38_4.12.0-Linux-x86_64.sh

# Install 
sh Miniconda3-py38_4.12.0-Linux-x86_64.sh

To create and remove environments,

# create new envs
conda create -n ${ENV_NAME}

# remove envs
conda remove -n ${ENV_NAME}

Qinghua Mirror

Quick-links: pip

# pip 
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple

# conda 
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 --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
conda config --set show_channel_urls yes

# remove conda channels
conda config --remove channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --remove channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --remove channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
conda config --remove channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/

pytorch

quick-links: pytorch

NOTE: If you are using Qinghua Mirror through pip to install pytorch, the default version of torch is CUDA10.2. It may have problem to run on machine with CUDA 11.0+ !

NOTE: If you are using Qinghua Mirror through conda to install pytorch, remove '-c pytorch'. (But it may fail to find the suitable version)

Recommended way:

Use Clash and move to pytorch_all_versions and choose the suitable link to run.

Another possible way:

Choose suitable version and download .whl file from here
Directly install from .whl file

# stable version 1.9.1+cu111 (Linux, python 3.8)
wget https://download.pytorch.org/whl/cu111/torch-1.9.1%2Bcu111-cp38-cp38-linux_x86_64.whl

# install from .whl file
pip install torch-1.9.1+cu111-cp38-cp38-linux_x86_64.whl

Git

To connect to github, first run

ssh-keygen

to generate keys. Then put the public key to -> Settings -> SSH and GPG keys

Then, write the following lines to ~/.ssh/config

Host github.com
    Hostname ssh.github.com
    Port 443
    User git

Now you can pull codes. To push codes, you also need

git config --global user.email {$YOUR_EMAIL}
git config --global user.name {$YOUR_NAME}

JYChen18/setup