Rebuild ubuntu 22.04

This is a post about how to rebuild ubuntu 22.04, and install some useful tools.

Terminal install

• upgrade sudo apt-get upgrade -y
• update sudo apt-get update
• git sudo apt install git-all
• python3 / pip3 / venv sudo apt install python3-dev python3-pip python3-venv
• flameshot sudo apt install flameshot
• vim sudo apt-get install vim
• Discord snap install discord

First-Time Git Setup

• git config --global user.name [your username]
• git config --global user.email [your user email]

VsCode

• Website
• Download command sudo dpkg -i [Filename]

Edge

• Website
• Download command sudo dpkg -i [Filename]

Chinese input

• Download command sudo apt install ibus-chewing
• reboot
• Keyboard - Input Sources - Other - Chinese (chewing)

Anaconda

• How to install Anaconda on Linux?
• Website
• reboot
• conda -V: check version
• conda remove -n ENV_NAME --all remove env
• Remove the folder from that env

Tensorflow with conda

• stackoverflow
• Create env conda create -n [env name] python=3.8
• Activate env conda activate [env name]
• Check conda install package: conda list
• Install tensorflow conda install tensorflow
• Install tensorflow-gpu conda install tensorflow-gpu
• scikit-learn conda install -c anaconda scikit-learn
• matplotlib conda install matplotlib
• pandas conda install pandas
• quit env conda deactivate

CUDA and cuDnn

• check GPU version sudo lshw -C display
• How to install CUDA on Ububtu

Driver

• ubuntu-drivers devices (find the recommand to install)
• sudo ubuntu-drivers autoinstall
• reboot
• nvidia-smi can check

CUDA

• check install version
• With tensorflow 2.4.1, I choose CUDA 11.0 and cuDNN 8.0
• But since my Ubuntu version is 22.04, so the CUDA version change to 11.7
• May has a error

Just continue and don’t install driver again

• Add some line by vim ~/.bashrc
  • export PATH="/usr/local/cuda-11.7/bin:$PATH"
  • export LD_LIBRARY_PATH="/usr/local/cuda-11.7/lib64:$LD_LIBRARY_PATH"
• source ~/.bashrc
• nvcc -V

cuDNN

• Website
• After install sudo dpkg -i cudnn-local-repo-ubuntu2204-8.6.0.163_1.0-1_amd64.deb

  sudo apt-key add /var/cudnn-local-repo-ubuntu2204-8.6.0.163_1.0-1_amd64/7fa2af80.pub
  sudo apt-get update
  sudo apt-get install libcudnn8 libcudnn8-dev
  

• check cuDNN version dpkg -l | grep libcudnn

PyTorch with conda

• Website
• conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
• GPU conda install -c conda-forge pytorch-gpu

NAS for MLLab

• smb://mllab.asuscomm.com/mllab-public/
• [your username]
• [your password]

Printer for MLLab

• Additional Printer Settings…
• Add icon
• Network Printer
• Choose Printer (Kyocera ECOSYS / Epson AL-M310DN)
• Forward
• Print Test page