/dotfiles

scripts and instructions to install packages

Primary LanguageVim Script

Dotfiles Awesome

Table of contents:

Configure Vim

  • Place .vimrc in home directory (i.e. ~/.vimrc) and a.vim in ~/.vim/bundle/a.vim
  • Install vim-plug (for more info visit (vim-plug github)[https://github.com/junegunn/vim-plug]) 
    curl -fLo ~/.vim/autoload/plug.vim --create-dirs \
https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim
  • Install vundle 
    git clone https://github.com/VundleVim/Vundle.vim.git ~/.vim/bundle/Vundle.vim

Installing Gnome

open the terminal and paste the following commands:

sudo add-apt-repository ppa:gnome3-team/gnome3-staging -y && \
sudo add-apt-repository ppa:gnome3-team/gnome3 -y &&\
sudo apt update && \
sudo apt dist-upgrade && \
sudo apt install gnome gnome-shell

Installing GTK themes

  • Adapta 
    sudo apt-add-repository ppa:tista/adapta -y
sudo apt-get update
sudo apt-get install adapta-gtk-theme
  • Flat-remix

Git setup

  1. sudo apt-get install git-all
  2. Create a repository from your browser.
  3. Edit git config:
git config --global user.name "prateek arora"
git config --global user.email prateekarorav2@gmail.com
git config --global core.editor sublime

Check your configuration, do git config --list 4. Git clone your repository, do git clone htttp://github.com/chahatdeep/<repo_name>

  1. cd <repo_name>

  2. shell-script && git init

  3. Copy all the files you want to move to the repo.

  4. In the repo, do git add *

  5. git add LICENSE (Optional)

  6. git commit -m 'initial project version'

  7. git push

Google Chrome

  • Setup key with:
wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | sudo apt-key add -
  • Setup repository with:
sudo sh -c 'echo "deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google.list'
  • Setup package with:
sudo apt-get update 
sudo apt-get install google-chrome-stable

Reference

Nvidia cuda toolkit installation

Ubuntu 20.04 index of cuda repo

  1. Nvidia driver installation

    Check the nvida driver and cudatoolkit compatibilty matrix and determine the version of nvidia driver you need from the following resource: https://docs.nvidia.com/deploy/cuda-compatibility/index.html#deployment-consideration-forward

    First, make sure that you have nvidia drivers installed by running the following command:

    dpkg -l | grep -i nvidia-driver

    if the nvidia drivers aren't installed, install them by using the following command (replace "465" with the version you want):

    sudo apt install nvidia-driver-465

    Reboot the system

    reboot

    Verify if the installation was successful

    nvidia-smi

    You should be able to see the following output on your terminal:

     
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 465.19.01    Driver Version: 465.19.01    CUDA Version: 11.3     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  On   | 00000000:01:00.0  On |                  N/A |
| 30%   36C    P8    16W / 350W |    169MiB / 24259MiB |      5%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                           
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A      1150      G   /usr/lib/xorg/Xorg                 78MiB |
|    0   N/A  N/A      1341      G   /usr/bin/gnome-shell               83MiB |
|    0   N/A  N/A      1908      G   ...mviewer/tv_bin/TeamViewer        4MiB |
+-----------------------------------------------------------------------------+

  2. Uninstall previously installed versions of nvidia cuda toolkit

    This step is crucial for proper installation of nvidia cuda toolkit. Use the following command to remove existing cuda toolkit installation:

    sudo apt remove cuda-toolkit*
sudo rm -rf /usr/local/cuda*

    Remove existing cuda toolkit sources in apt

    sudo rm /etc/apt/sources.list.d/cuda*
sudo apt-get autoremove && sudo apt-get autoclean

  3. Cuda toolkit installation (finally!!!)

    Browse the version of cuda toolkit you need to install from CUDA Tookit Archive and follow the instructions for installation. Below are the installation instructions for cuda toolkit 11.1 using local deb file (refer to the archive for recent links if the following commands do not work)

    wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/11.1.0/local_installers/cuda-repo-ubuntu1804-11-1-local_11.1.0-455.23.05-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1804-11-1-local_11.1.0-455.23.05-1_amd64.deb
sudo apt-key add /var/cuda-repo-ubuntu1804-11-1-local/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda

  4. Verify installation

    Navigate to cuda installation (replace 11.1 with your version of cuda):

    cd /usr/local/cuda-11.1/samples/1_Utilities/deviceQuery

    if you are unable to find the deviceQuery directory, do so by using the following command and navigate to the directory:

    find -iname "deviceQuery"

    Make and run deviceQuery

    make
./deviceQuery

    This should output a lot of details including (we care about the following only):

    • the detected device
    • CUDA Runtime Version
    • Result (should be PASS)

  5. Setup environment variables

    Add the following lines to your ~/.bashrc:

    export PATH=${PATH}:/usr/local/cuda-11.1/bin
export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/cuda-11.1/lib64

Troubleshooting Installation

  • Type nvidia-smi in the terminal to check if the nvidia-driver is installed properly. Reboot the system, if you see the following error: NVIDIA NVML Driver/library version mismatch.
  • Upon rebooting, if the system doesn't boot gui, do the following:
    • open a session by pressing ctrl + alt + F2
    • check nvidia driver version dpkg -l | grep -i nvidia
    • if the driver version is not the same one as you installed earlier, remove the existing driver and install the one that you know is compatible with your cuda version.