docker-dcv-vnc from nvidia-centos base image

基于nvidia/cuda:8.0-runtime-centos7镜像制作包括tigervnc-server、nice-dcv-2017的docker镜像

默认安装 perl wget xauth xkeyboard-config pciutils xterm expect工具
交互shell用到expect，请参考相关教程
nice-dcv-2017使用2018年10月到期的license.lic
vnc默认启用 :1(5901端口)，vncviewer进入默认启用xterm
启用dcv，需要nvidia-driver及nvidia-docker，详情参见nvidia-docker

build容器

git clone https://github.com/soxueren/docker-dcv.git
cd docker-dcv
git checkout 7.0-runtime-centos7
docker build -t docker-dcv .

或者

docker pull soxueren/docker-dcv:7.0-runtime-centos7

运行容器

docker run -it --rm --name=dcv  --privileged=true -p 5901:5901  -p 8443:8443 docker-dcv:7.0-runtime-centos7

出现错误解决方法

Sep 23 06:20:13 30793f8fc873 dcvserver[126]: libcuda.so.1: cannot open shared object file: No such file or directory
Sep 23 06:20:13 30793f8fc873 dcvserver[126]: Failed to load module: /usr/lib64/dcv/modules/libdcvnvenc.so
Sep 23 06:20:13 30793f8fc873 dcvserver[126]: libnvidia-ifr.so.1: cannot open shared object file: No such file or directory
Sep 23 06:20:13 30793f8fc873 dcvserver[126]: Failed to load module: /usr/lib64/dcv/modules/libdcvnvifr.so

1、安装nvidia驱动

./NVIDIA-Linux_x86_64-375.26.run

2、安装nvidia-docker2或者nvidia-docker-plugins

CentOS 7 (docker-ce), RHEL 7.4/7.5 (docker-ce), Amazon Linux 1/2

If you are not using the official docker-ce package on CentOS/RHEL, use the next section.

# If you have nvidia-docker 1.0 installed: we need to remove it and all existing GPU containers
docker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -f
sudo yum remove nvidia-docker

# Add the package repositories
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.repo | \
  sudo tee /etc/yum.repos.d/nvidia-docker.repo

# Install nvidia-docker2 and reload the Docker daemon configuration
sudo yum install -y nvidia-docker2
sudo pkill -SIGHUP dockerd

# Test nvidia-smi with the latest official CUDA image
docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi

If yum reports a conflict on /etc/docker/daemon.json with the docker package, you need to use the next section instead.

For docker-ce on ppc64le, look at the FAQ.

CentOS 7 (docker), RHEL 7.4/7.5 (docker)

# If you have nvidia-docker 1.0 installed: we need to remove it and all existing GPU containers
docker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -f
sudo yum remove nvidia-docker

# Add the package repositories
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-container-runtime/$distribution/nvidia-container-runtime.repo | \
  sudo tee /etc/yum.repos.d/nvidia-container-runtime.repo

# Install the nvidia runtime hook
sudo yum install -y nvidia-container-runtime-hook

# Test nvidia-smi with the latest official CUDA image
# You can't use `--runtime=nvidia` with this setup.
docker run --rm nvidia/cuda:9.0-base nvidia-smi

2、docker run 增加参数

## 宿主机和容器进行卷映射
-v /usr/lib64/nvidia:/usr/lib64/nvidia

3、配置nvidia-driver搜索路径

## 在宿主机上将容器缺少的库拷贝到/usr/lib64/nvidia
-e LD_LIBRARY_PATH=/usr/lib64/nvidia:${LD_LIBRARY_PATH}

启动NICE DCV server

dcvserver --display=1 --create-session

或后台运行

nohup dcvserver --display=1 --create-session &

dcv测试

dcvgltest

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