dotfiles/deeplearning/install.sh

#!/bin/bash

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


$ROOT/python/install.sh

# install deep learning tools
case "$PM" in
    apt)
        # cuda
        source /etc/lsb-release
        if [ "$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/ /"
            sudo apt-get update
            sudo apt-get -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=$(. /etc/os-release;echo $ID$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