dotfiles/devel/deeplearning.sh

#!/bin/sh

DIR=$(dirname "$(readlink -f "$0")")
. "$DIR/../env.sh"


"$PDIR/python/install.sh"

# install deep learning tools
case "$PM" in
    apt)
        # auto install nvidia driver
        sudo ubuntu-drivers autoinstall
        # cuda
        . /etc/lsb-release
        if [ "$DISTRIB_RELEASE" = "18.04" ] && [ "$(uname -m)" = 'x86_64' ]; then
            sudo apt install "linux-headers-$(uname -r)"
            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
            sudo apt-key adv --fetch-keys \
                https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
            sudo add-apt-repository "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /" -y -n
            pm_update
            sudo apt -y install cuda
        elif [ "$DISTRIB_RELEASE" = "20.04" ]; then
            sudo apt install nvidia-cuda-toolkit
        else
            echo 'Unsupported release'
            exit 1
        fi

        # nvidia docker
        distribution="$ID$VERSION_ID"
        curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
        curl -s -L "https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list" | \
            sudo tee /etc/apt/sources.list.d/nvidia-docker.list
        sudo apt update
        sudo apt install -y nvidia-docker2
        ;;
    pacman)
        echo TODO
        exit 1
        ;;
esac