Ubuntu 18.04安装Docker CE及nvidia-docker2流程

2022-07-26 20:07:46 浏览数 (1)

Docker的好处之一，就是在Container里面可以随意瞎搞，不用担心弄崩Host的环境。 而nvidia-docker2的好处是NVidia帮你配好了Host和Container之间的CUDA相关的链接，让你可以直接在Container里面使用GPU。

安装环境

  • OS：Ubuntu 18.04 64 bit
  • 显卡：NVidia GTX 1080
  • CUDA：10.0
  • cnDNN：7.4

任务：安装Docker CE及nvidia-docker2，以便后期开展深度学习

配置Docker源

代码语言：javascript复制
# 更新源
$ sudo apt-get update

# 启用HTTPS
$ sudo apt-get install 
    apt-transport-https 
    ca-certificates 
    curl 
    gnupg-agent 
    software-properties-common

# 添加GPG key
$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

# 添加稳定版的源
$ sudo add-apt-repository 
   "deb [arch=amd64] https://download.docker.com/linux/ubuntu 
   $(lsb_release -cs) 
   stable"

安装Docker CE

代码语言：javascript复制
# 更新源
$ sudo apt-get update

# 安装Docker CE
$ sudo apt-get install docker-ce

如果这种方式安装失败，也有解决方案。 报错时屏幕上会显示下载失败的deb文件，想办法下载下来，然后挨个手动安装就好。

此时我需要下载的是下面三个文件：

  • containerd.io_1.2.2-1_amd64.deb
  • docker-ce-cli_18.09.1~3-0~ubuntu-bionic_amd64.deb
  • docker-ce_18.09.1~3-0~ubuntu-bionic_amd64.deb

手动依次安装：

代码语言：javascript复制
$ sudo dpkg -i containerd.io_1.2.2-1_amd64.deb
$ sudo dpkg -i docker-ce-cli_18.09.1~3-0~ubuntu-bionic_amd64.deb
$ sudo dpkg -i docker-ce_18.09.1~3-0~ubuntu-bionic_amd64.deb

验证Docker CE

如果出现下面的内容，说明安装成功。

代码语言：javascript复制
$ sudo docker run hello-world

Unable to find image 'hello-world:latest' locally
latest: Pulling from library/hello-world
1b930d010525: Pull complete 
Digest: sha256:2557e3c07ed1e38f26e389462d03ed943586f744621577a99efb77324b0fe535
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/

配置nvidia-docker2源

代码语言：javascript复制
# 添加源
$ curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
$ distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
$ curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | 
  sudo tee /etc/apt/sources.list.d/nvidia-docker.list

安装nvidia-docker2

代码语言：javascript复制
# 安装nvidia-docker2
$ sudo apt-get install -y nvidia-docker2

# 重启Docker daemon
$ sudo pkill -SIGHUP dockerd

验证nvidia-docker2

代码语言：javascript复制
$ sudo nvidia-docker run --rm nvidia/cuda nvidia-smi

能看到显卡信息就说明OK了，当前image是基于Ubuntu 18.04的。

容器 容器镜像服务 ubuntu linux 深度学习

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