本文详细介绍了如何从卸载 NVIDIA-docker1.0 开始，一步步安装并配置 NVIDIA-docker2 的全过程。包括了清理旧版本、添加新的软件包存储库、更新并安装 NVIDIA-docker2，最后通过官方 CUDA 映像测试配置是否成功。
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 apt-get purge -y nvidia-docker
Add the package repositories
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey |
sudo apt-key add -
distribution=$(. /etc/os-release;echo
I
D
ID
IDVERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list |
sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt-get update
Install nvidia-docker2 and reload the Docker daemon configuration
sudo apt-get 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
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