安装和使用

sudo docker-compose up -d --build

sudo docker exec -it nginx /bin/sh

删除容器

<aside> 📖 docker.io 是旧版本：卸载

</aside>

卸载旧版本

for pkg in docker.io docker-doc docker-compose podman-docker containerd runc; do sudo apt-get remove $pkg; done

还要删除CLIhttps://docs.docker.com/engine/install/debian/#uninstall-docker-engine

sudo apt-get purge docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin docker-ce-rootless-extras

脚本安装docker

apt 安装

Debian：https://docs.docker.com/engine/install/debian/

添加Docker’s apt repository

# Add Docker's official GPG key:
sudo apt-get update
sudo apt-get install ca-certificates curl
sudo install -m 0755 -d /etc/apt/keyrings
sudo curl -fsSL <https://download.docker.com/linux/debian/gpg> -o /etc/apt/keyrings/docker.asc
sudo chmod a+r /etc/apt/keyrings/docker.asc

# Add the repository to Apt sources:
echo \\
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] <https://download.docker.com/linux/debian> \\
  $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \\
  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt-get update

install docker plugins

sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

verify:

sudo docker run hello-world

启动

sudo systemctl start docker
sudo systemctl enable docker
sudo systemctl status docker

sudo docker ps

Docker 常用命令

docker context create rootful --docker "host=unix:///var/run/docker.sock"
docker context use rootful

NVIDIA

容器内可以使用NVIDA显卡和CUDA、

Prepare：一般Docker已经集成了NVIDIA Container Toolkit（WSL也是），https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html| 验证手段是运行nvidia-smi命令行
```
WSL-> nvidia-smi
WSL-> sudo docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
PS->  docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
```

Docker-compose

启用NVIDAI Container Toolkit后，可以在yaml文件中声明GPU使用和分配

app:
    build: 
      context: ..
      dockerfile: .devcontainer\\Dockerfile

    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    environment:
      - NVIDIA_VISIBLE_DEVICES=all

CUDA

~~NVIDIA有针对vscode开发容器的feature~~

{
    "features": {
        "ghcr.io/devcontainers/features/cuda:12.6": {}
    }
}

手动添加runfile，选择只安装toolkit

# 安装CUDA
RUN --mount=type=bind,source="docker/cuda_12.6.0_560.28.03_linux.run",target=/tmp/cuda.run \\ 
    sh /tmp/cuda.run --silent --toolkit  --toolkitpath=/usr/local/my-paddle/cuda-12.6 \\
    && rm -rf /var/cuda-installer*
# 设置环境变量
ENV PATH=/usr/local/my-paddle/cuda-12.6/bin:$PATH
ENV LD_LIBRARY_PATH=/usr/local/my-paddle/cuda-12.6/lib64:$LD_LIBRARY_PATH

CuDNN