安装libnvidia-container

安装时建议使用下面这个国内源，不要使用nvidia官方源，那个很慢的
https://mirrors.ustc.edu.cn/help/libnvidia-container.html

首先在ssh中，以root权限运行如下命令，添加apt仓库

curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
  && curl -s -L https://mirrors.ustc.edu.cn/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
    sed 's#deb https://nvidia.github.io#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://mirrors.ustc.edu.cn#g' | \
    tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

随后直接安装这个软件包就ok了

sudo apt update && sudo apt install nvidia-container-toolkit

修改/etc/docker/daemon.json配置

直接使用nvidia-ctk修改配置即可

nvidia-ctk runtime configure --runtime=docker --config=/etc/docker/daemon.json

一般来说会出现下面这样的回显

root@fnOS-device:~# nvidia-ctk runtime configure --runtime=docker --config=/etc/docker/daemon.json
INFO[0000] Loading config from /etc/docker/daemon.json  
INFO[0000] Wrote updated config to /etc/docker/daemon.json 
INFO[0000] It is recommended that docker daemon be restarted.

检查一下配置是否已经被修改成功，注意我的镜像源是自己换过的
飞牛自带那个经常是用不了的

root@fnOS-device:~# cat /etc/docker/daemon.json
{
    "data-root": "/vol1/docker",
    "insecure-registries": [
        "127.0.0.1:19827"
    ],
    "live-restore": true,
    "registry-mirrors": [
        "https://docker.1ms.run"
    ],
    "runtimes": {
        "nvidia": {
            "args": [],
            "path": "nvidia-container-runtime"
        }
    }
}

##查看配置文件
ls -lh /usr/lib/x86_64-linux-gnu/libnvidia-ml.so*
#-rwxr-xr-x 1 root root 2.1M Sep 13 02:00 /usr/lib/x86_64-linux-gnu/libnvidia-ml.so
#-rwxr-xr-x 1 root root 2.1M Sep 13 02:00 /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1
#-rwxr-xr-x 1 root root 2.1M Sep 13 02:00 /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.560.28.03
ls -lh /usr/lib/x86_64-linux-gnu/libcuda.so*
#-rwxr-xr-x 1 root root 34M Sep 13 02:00 /usr/lib/x86_64-linux-gnu/libcuda.so
#-rwxr-xr-x 1 root root 34M Sep 13 02:00 /usr/lib/x86_64-linux-gnu/libcuda.so.1
#rwxr-xr-x 1 root root 34M Sep 13 02:00 /usr/lib/x86_64-linux-gnu/libcuda.so.560.28.03

##运行以下两行命令然后重启Docker就可以了

ln -sf /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.560.28.03 /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1
ln -sf /usr/lib/x86_64-linux-gnu/libcuda.so.560.28.03 /usr/lib/x86_64-linux-gnu/libcuda.so.1


##补充
 ln -sf /lib/x86_64-linux-gnu/libGLESv2_nvidia.so.560.28.03 /lib/x86_64-linux-gnu/libGLESv2_nvidia.so.2
 ln -sf /lib/x86_64-linux-gnu/libcudadebugger.so.560.28.03 /lib/x86_64-linux-gnu/libcudadebugger.so.1
 ln -sf /lib/x86_64-linux-gnu/libEGL_nvidia.so.560.28.03 /lib/x86_64-linux-gnu/libEGL_nvidia.so.0
 ln -sf /lib/x86_64-linux-gnu/libGLESv1_CM_nvidia.so.560.28.03 /lib/x86_64-linux-gnu/libGLESv1_CM_nvidia.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvidia-fbc.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-fbc.so
 ln -sf /lib/x86_64-linux-gnu/libnvidia-fbc.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-fbc.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvidia-cfg.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-cfg.so
 ln -sf /lib/x86_64-linux-gnu/libnvidia-cfg.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-cfg.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvidia-ml.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-ml.so
 ln -sf /lib/x86_64-linux-gnu/libnvidia-ml.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-ml.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvcuvid.so.560.28.03 /lib/x86_64-linux-gnu/libnvcuvid.so
 ln -sf /lib/x86_64-linux-gnu/libnvcuvid.so.560.28.03 /lib/x86_64-linux-gnu/libnvcuvid.so.1
 ln -sf /lib/x86_64-linux-gnu/libcuda.so.560.28.03 /lib/x86_64-linux-gnu/libcuda.so
 ln -sf /lib/x86_64-linux-gnu/libcuda.so.560.28.03 /lib/x86_64-linux-gnu/libcuda.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvoptix.so.560.28.03 /lib/x86_64-linux-gnu/libnvoptix.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvidia-opencl.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-opencl.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvidia-allocator.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-allocator.so
 ln -sf /lib/x86_64-linux-gnu/libnvidia-allocator.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-allocator.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvidia-egl-wayland.so.1.1.13 /lib/x86_64-linux-gnu/libnvidia-egl-wayland.so.1
 ln -sf /lib/x86_64-linux-gnu/libOpenCL.so.1.0.0 /lib/x86_64-linux-gnu/libOpenCL.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so
 ln -sf /lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvidia-ngx.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-ngx.so.1
 ln -sf /lib/x86_64-linux-gnu/libGLX_nvidia.so.560.28.03 /lib/x86_64-linux-gnu/libGLX_nvidia.so.0
 ln -sf /lib/x86_64-linux-gnu/libnvidia-opticalflow.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-opticalflow.so
 ln -sf /lib/x86_64-linux-gnu/libnvidia-opticalflow.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-opticalflow.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvidia-egl-gbm.so.1.1.1 /lib/x86_64-linux-gnu/libnvidia-egl-gbm.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvidia-encode.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-encode.so
 ln -sf /lib/x86_64-linux-gnu/libnvidia-encode.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-encode.so.1
 ln -sf /lib/x86_64-linux-gnu/libnvidia-nvvm.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-nvvm.so
 ln -sf /lib/x86_64-linux-gnu/libnvidia-nvvm.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-nvvm.so.4
 ln -sf /lib/x86_64-linux-gnu/libnvidia-vksc-core.so.560.28.03 /lib/x86_64-linux-gnu/libnvidia-vksc-core.so.1

给上权限

chmod 777 /usr/lib/x86_64-linux-gnu/lib*560*
chmod 777 /usr/lib/x86_64-linux-gnu/libvdpau_nvidia.so
chmod 777 -R /usr/lib/firmware/nvidia /usr/lib/firmware/nvidia/560.28.03


##测试输出
nvidia-container-cli -k -d /dev/tty info

Ashan

Ashan

FNOS 飞牛云 docker 使用独显驱动

安装libnvidia-container

修改/etc/docker/daemon.json配置

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