安装Docker
卸载之前的Docker环境
如果之前已经安装了老版本Docker，那么在安装新版本Docker之前需要将其先卸载。
sudo apt-get remove docker docker-engine docker.io containerd runc
需要注意的是，用这种方法不能把之前存在的镜像、容器及其他数据清理。如果想完全清理掉之前的数据，可以执行下面的几行命令：
sudo apt-get purge docker-ce docker-ce-cli containerd.io docker-compose-plugin
sudo rm -rf /var/lib/docker
sudo rm -rf /var/lib/containerd
安装Docker
- 配置
apt仓库
sudo apt-get update
sudo apt-get install ca-certificates curl gnupg lsb-release
sudo mkdir -p /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
echo \
"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
$(lsb\_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
- 安装最新版本
Docker
sudo apt-get update
sudo apt-get install docker-ce docker-ce-cli containerd.io docker-compose-plugin
- 验证
Docker环境是否安装成功
sudo docker run hello-world
如果显示以下信息，则表示安装成功：
Unable to find image 'hello-world:latest' locally
latest: Pulling from library/hello-world
2db29710123e: Pull complete
Digest: sha256:94ebc7edf3401f299cd3376a1669bc0a49aef92d6d2669005f9bc5ef028dc333
Status: Downloaded newer image for hello-world:latest
Hello from Docker!
This message shows that your installation appears to be working correctly.
To generate this message, Docker took the following steps:
1. The Docker client contacted the Docker daemon.
2. The Docker daemon pulled the "hello-world" image from the Docker Hub.
(amd64)
3. The Docker daemon created a new container from that image which runs the
executable that produces the output you are currently reading.
4. The Docker daemon streamed that output to the Docker client, which sent it
to your terminal.
To try something more ambitious, you can run an Ubuntu container with:
$ docker run -it ubuntu bash
Share images, automate workflows, and more with a free Docker ID:
https://hub.docker.com/
For more examples and ideas, visit:
https://docs.docker.com/get-started/
安装nvidia-docker2
安装Docker环境
如果还没有安装Docker环境，那么需要先安装一下，可以使用下面的命名通过官方的便捷脚本进行安装，也可以通过上文的方法用apt命令安装。
curl https://get.docker.com | sh \
&& sudo systemctl --now enable docker
安装nvidia-docker2
- 配置
apt仓库
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
&& 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://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
- 安装
nvidia-docker2包
sudo apt-get update
sudo apt-get install -y nvidia-docker2
安装完成后需要重启Docker:
sudo systemctl restart docker
- 验证是否安装成功
sudo docker run --rm --gpus all nvidia/cuda:11.6.2-base-ubuntu20.04 nvidia-smi
执行上面的命令，如果显示跟下面类似的内容，说明nvidia-docker2已经安装成功。
Fri Jan 6 01:20:11 2023
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.129.06 Driver Version: 470.129.06 CUDA Version: 11.6 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... Off | 00000000:01:00.0 Off | N/A |
| N/A 45C P8 1W / N/A | 376MiB / 3911MiB | 19% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+