298 lines
16 KiB
Bash
Executable File
298 lines
16 KiB
Bash
Executable File
#!/bin/bash
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set -euxo pipefail
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Docker_urls="https://mirrors.aliyun.com/docker-ce"
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images="hub.geekery.cn"
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export DEBIAN_FRONTEND=noninteractive
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sudo dpkg --set-selections <<< "cloud-init install" || true
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# Set Gloabal Variables
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# Detect OS
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OS="$(uname)"
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case $OS in
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"Linux")
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# Detect Linux Distro
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if [ -f /etc/os-release ]; then
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. /etc/os-release
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DISTRO=$ID
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VERSION=$VERSION_ID
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else
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echo "您的 Linux 发行版不受支持。"
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exit 1
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fi
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;;
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esac
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# Detect if an Nvidia GPU is present
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NVIDIA_PRESENT=$(lspci | grep -i nvidia || true)
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# Only proceed with Nvidia-specific steps if an Nvidia device is detected
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if [[ -z "$NVIDIA_PRESENT" ]]; then
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echo "在此系统上未检测到 NVIDIA 设备。"
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else
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# Check if nvidia-smi is available and working
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if command -v nvidia-smi &>/dev/null; then
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echo "CUDA 驱动程序已作为 nvidia-smi 安装。"
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else
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# Depending on Distro
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case $DISTRO in
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"ubuntu")
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case $VERSION in
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"20.04")
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# Commands specific to Ubuntu 20.04
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sudo -- sh -c 'apt-get update; apt-get upgrade -y; apt-get autoremove -y; apt-get autoclean -y'
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sudo -- sh -c 'apt-get update; apt-get upgrade -y; apt-get autoremove -y; apt-get autoclean -y'
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sudo apt install linux-headers-$(uname -r) -y
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sudo apt del 7fa2af80 || true
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sudo apt remove 7fa2af80 || true
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sudo apt install build-essential cmake gpg unzip pkg-config software-properties-common ubuntu-drivers-common -y
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sudo apt install libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev -y || true
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sudo apt install libjpeg-dev libpng-dev libtiff-dev -y || true
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sudo apt install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev -y || true
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sudo apt install libxvidcore-dev libx264-dev -y || true
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sudo apt install libopenblas-dev libatlas-base-dev liblapack-dev gfortran -y || true
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sudo apt install libhdf5-serial-dev -y || true
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sudo apt install python3-dev python3-tk python-imaging-tk curl cuda-keyring gnupg-agent dirmngr alsa-utils -y || true
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sudo apt install libgtk-3-dev -y || true
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sudo apt update -y
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sudo dirmngr </dev/null
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if sudo apt-add-repository -y ppa:graphics-drivers/ppa && sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys FCAE110B1118213C; then
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echo "Alternative method succeeded."
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else
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echo "Alternative method failed. Trying the original method..."
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sudo dirmngr </dev/null
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sudo apt-add-repository -y ppa:graphics-drivers/ppa
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sudo gpg --no-default-keyring --keyring gnupg-ring:/etc/apt/trusted.gpg.d/graphics-drivers.gpg --keyserver keyserver.ubuntu.com --recv-keys FCAE110B1118213C
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sudo chmod 644 /etc/apt/trusted.gpg.d/graphics-drivers.gpg
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fi
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sudo ubuntu-drivers autoinstall
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sudo apt update -y
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.1-1_all.deb
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sudo dpkg -i cuda-keyring_1.1-1_all.deb
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sudo apt update -y
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sudo apt -y install cuda-toolkit
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export LD_LIBRARY_PATH=/usr/local/cuda-12.2/lib64:${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
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sudo apt-get update
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;;
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"22.04")
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# Commands specific to Ubuntu 22.04
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sudo -- sh -c 'apt-get update; apt-get upgrade -y; apt-get autoremove -y; apt-get autoclean -y'
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sudo -- sh -c 'apt-get update; apt-get upgrade -y; apt-get autoremove -y; apt-get autoclean -y'
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sudo apt install linux-headers-$(uname -r) -y
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sudo apt del 7fa2af80 || true
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sudo apt remove 7fa2af80 || true
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sudo apt install build-essential cmake gpg unzip pkg-config software-properties-common ubuntu-drivers-common -y
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sudo apt install libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev -y
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sudo apt install libjpeg-dev libpng-dev libtiff-dev -y
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sudo apt install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev -y
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sudo apt install libxvidcore-dev libx264-dev -y
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sudo apt install libopenblas-dev libatlas-base-dev liblapack-dev gfortran -y
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sudo apt install libhdf5-serial-dev -y
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sudo apt install python3-dev python3-tk curl gnupg-agent dirmngr alsa-utils -y
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sudo apt install libgtk-3-dev -y
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sudo apt update -y
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sudo dirmngr </dev/null
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if sudo apt-add-repository -y ppa:graphics-drivers/ppa && sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys FCAE110B1118213C; then
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echo "Alternative method succeeded."
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else
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echo "Alternative method failed. Trying the original method..."
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sudo dirmngr </dev/null
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sudo apt-add-repository -y ppa:graphics-drivers/ppa
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sudo gpg --no-default-keyring --keyring gnupg-ring:/etc/apt/trusted.gpg.d/graphics-drivers.gpg --keyserver keyserver.ubuntu.com --recv-keys FCAE110B1118213C
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sudo chmod 644 /etc/apt/trusted.gpg.d/graphics-drivers.gpg
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fi
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sudo ubuntu-drivers autoinstall
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sudo apt update -y
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
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sudo dpkg -i cuda-keyring_1.1-1_all.deb
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sudo apt update -y
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sudo apt -y install cuda-toolkit
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export LD_LIBRARY_PATH=/usr/local/cuda-12.2/lib64:${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
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sudo apt update -y
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;;
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"18.04")
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# Commands specific to Ubuntu 18.04
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sudo -- sh -c 'apt-get update; apt-get upgrade -y; apt-get autoremove -y; apt-get autoclean -y'
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sudo apt-get install linux-headers-$(uname -r) -y
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sudo apt del 7fa2af80 || true
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sudo apt remove 7fa2af80 || true
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sudo apt install build-essential cmake gpg unzip pkg-config software-properties-common ubuntu-drivers-common alsa-utils -y
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sudo apt install libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev -y || true
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sudo apt install libjpeg-dev libpng-dev libtiff-dev -y || true
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sudo apt install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev -y || true
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sudo apt install libxvidcore-dev libx264-dev -y || true
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sudo apt install libopenblas-dev libatlas-base-dev liblapack-dev gfortran -y || true
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sudo apt install libhdf5-serial-dev -y || true
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sudo apt install python3-dev python3-tk python-imaging-tk curl cuda-keyring -y || true
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sudo apt install libgtk-3-dev -y || true
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sudo apt update -y
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sudo ubuntu-drivers install
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sudo apt update -y
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
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sudo dpkg -i cuda-keyring_1.1-1_all.deb
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sudo apt update -y
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sudo apt -y install cuda-toolkit
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export LD_LIBRARY_PATH=/usr/local/cuda-12.2/lib64:${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
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sudo apt update -y
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;;
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*)
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echo "此脚本不支持此版本的 Ubuntu。"
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exit 1
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;;
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esac
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;;
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"debian")
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case $VERSION in
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"10"|"11")
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# Commands specific to Debian 10 & 11
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sudo -- sh -c 'apt update; apt upgrade -y; apt autoremove -y; apt autoclean -y'
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sudo apt install linux-headers-$(uname -r) -y
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sudo apt update -y
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sudo apt install nvidia-driver firmware-misc-nonfree
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wget https://developer.download.nvidia.com/compute/cuda/repos/debian${VERSION}/x86_64/cuda-keyring_1.1-1_all.deb
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sudo apt install nvidia-cuda-dev nvidia-cuda-toolkit
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sudo apt update -y
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;;
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*)
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echo "此脚本不支持此版本的 Debian。"
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exit 1
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;;
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esac
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;;
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*)
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echo "您的 Linux 发行版不受支持。"
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exit 1
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;;
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"Windows_NT")
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# For Windows Subsystem for Linux (WSL) with Ubuntu
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if grep -q Microsoft /proc/version; then
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wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-keyring_1.1-1_all.deb
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sudo dpkg -i cuda-keyring_1.1-1_all.deb
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sudo apt-get update
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sudo apt-get -y install cuda
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else
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echo "除非将 WSL 与 Ubuntu 一起使用，否则此 bash 脚本无法直接在 Windows 上执行。对于其他方案，请考虑使用 PowerShell 脚本或手动安装。"
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exit 1
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fi
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;;
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*)
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echo "您的操作系统不受支持。"
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exit 1
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;;
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esac
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echo "系统现在将重新启动!!请在重新启动后重新运行此脚本以完成安装！"
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sleep 5s
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sudo reboot
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fi
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fi
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# For testing purposes, this should output NVIDIA's driver version
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if [[ ! -z "$NVIDIA_PRESENT" ]]; then
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nvidia-smi
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fi
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# Check if Docker is installed
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if command -v docker &>/dev/null; then
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echo "Docker 已安装。"
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else
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echo "未安装 Docker。正在进行安装..."
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# Install Docker-ce keyring
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sudo apt update -y
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sudo apt install -y ca-certificates curl gnupg
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sudo install -m 0755 -d /etc/apt/keyrings
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FILE=/etc/apt/keyrings/docker.gpg
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if [ -f "$FILE" ]; then
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sudo rm "$FILE"
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fi
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# curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o "$FILE"
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curl -fsSL $Docker_urls/linux/ubuntu/gpg | sudo gpg --dearmor -o "$FILE"
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sudo chmod a+r /etc/apt/keyrings/docker.gpg
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# Add Docker-ce repository to Apt sources and install
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echo \
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"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] $Docker_urls/linux/ubuntu \
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$(. /etc/os-release; echo "$VERSION_CODENAME") stable" | \
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sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
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sudo apt update -y
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sudo apt -y install docker-ce
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fi
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# Check if docker-compose is installed
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if command -v docker-compose &>/dev/null; then
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echo "Docker-compose 已安装。"
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else
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echo "未安装 Docker-compose。正在进行安装..."
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# Install docker-compose subcommand
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sudo apt -y install docker-compose-plugin
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sudo ln -sv /usr/libexec/docker/cli-plugins/docker-compose /usr/bin/docker-compose
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docker-compose --version
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fi
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# Test / Install nvidia-docker
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if [[ ! -z "$NVIDIA_PRESENT" ]]; then
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if sudo docker run --rm --gpus all $images/nvidia/cuda:11.0.3-base-ubuntu18.04 nvidia-smi &>/dev/null; then
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echo "nvidia-docker 已启用并正常工作。退出脚本。"
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else
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echo "nvidia-docker 似乎没有启用。正在进行安装..."
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distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
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curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add
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curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
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sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit
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sudo systemctl restart docker
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sudo docker run --rm --gpus all $images/nvidia/cuda:11.0.3-base-ubuntu18.04 nvidia-smi
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fi
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fi
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sudo apt-mark hold nvidia* libnvidia*
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# Add docker group and user to group docker
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sudo groupadd docker || true
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sudo usermod -aG docker $USER || true
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newgrp docker || true
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# Workaround for NVIDIA Docker Issue
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echo "根据 https://github.com/NVIDIA/nvidia-docker/issues/1730 应用NVIDIA Docker问题的解决方法"
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# Summary of issue and workaround:
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# The issue arises when the host performs daemon-reload, which may cause containers using systemd to lose access to NVIDIA GPUs.
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# To check if affected, run `sudo systemctl daemon-reload` on the host, then check GPU access in the container with `nvidia-smi`.
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# If affected, proceed with the workaround below.
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# Workaround Steps:
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# Disable cgroups for Docker containers to prevent the issue.
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# Edit the Docker daemon configuration.
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sudo bash -c 'cat <<EOF > /etc/docker/daemon.json
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{
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"exec-opts": [
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"native.cgroupdriver=cgroupfs"
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],
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"registry-mirrors": [
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"https://hub-mirror.c.163.com",
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"https://docker.m.daocloud.io",
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"https://ghcr.io",
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"https://mirror.baidubce.com",
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"https://docker.nju.edu.cn"
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],
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"runtimes": {
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"nvidia": {
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"path": "nvidia-container-runtime",
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"runtimeArgs": []
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}
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}
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}
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EOF'
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# Restart Docker to apply changes.
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sudo systemctl restart docker
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# 强制删除使用 nvidia/cuda:11.0.3-base-ubuntu18.04 镜像的容器
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sudo docker ps -a | grep "nvidia/cuda:11.0.3-base-ubuntu18.04" | awk '{print $1}' | xargs -r docker rm -f
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sudo docker rmi nvidia/cuda:11.0.3-base-ubuntu18.04
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echo "已应用解决方法。Docker 已配置为使用“cgroupfs”作为 cgroup 驱动程序。" |