From a5c1b89f4988b09dca4cfa413b2f1da506fcdaa6 Mon Sep 17 00:00:00 2001 From: Sangwoo Han Date: Mon, 4 Nov 2019 16:55:36 +0900 Subject: [PATCH] Update README.md --- README.md | 162 ++++++++++++++++++++++++++++++++-------------- images/image0.png | Bin 0 -> 93812 bytes images/image1.png | Bin 0 -> 86921 bytes images/image2.png | Bin 0 -> 140729 bytes images/image3.png | Bin 0 -> 158672 bytes images/image4.gif | Bin 0 -> 307554 bytes 6 files changed, 112 insertions(+), 50 deletions(-) create mode 100644 images/image0.png create mode 100644 images/image1.png create mode 100644 images/image2.png create mode 100644 images/image3.png create mode 100644 images/image4.gif diff --git a/README.md b/README.md index cfa82de..1b7aa14 100644 --- a/README.md +++ b/README.md @@ -2,88 +2,150 @@ ## 설치 -1. `apt` 패키지 인덱스 업데이트 +### 1. `apt` 패키지 인덱스 업데이트 - ```sh - $ sudo apt update - ``` +```sh +$ sudo apt-get update +``` -2. HTTPS를 통해 `apt`가 외부 repository를 사용할 수 있게 하기 위해 필요한 패키지 설치 +### 2. HTTPS를 통해 `apt`가 외부 repository를 사용할 수 있게 하기 위해 필요한 패키지 설치 - ```sh - $ sudo apt install \ - apt-transport-https \ - ca-certificates \ - curl \ - gnupg-agent \ - software-properties-common - ``` +```sh +$ sudo apt-get install \ + apt-transport-https \ + ca-certificates \ + curl \ + gnupg-agent \ + software-properties-common +``` -3. Docker official GPG key 추가 +### 3. Docker official GPG key 추가 - ```sh - curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - - ``` +```sh +curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - +``` -4. stable 버전 repository 추가 +### 4. stable 버전 repository 추가 - ```sh - $ sudo add-apt-repository \ - "deb [arch=amd64] https://download.docker.com/linux/ubuntu \ - $(lsb_release -cs) \ - stable" - ``` +```sh +$ sudo add-apt-repository \ +"deb [arch=amd64] https://download.docker.com/linux/ubuntu \ +$(lsb_release -cs) \ +stable" +``` -5. `apt` 패키지 인덱스 업데이트 +### 5. `apt` 패키지 인덱스 업데이트 - ```sh - $ sudo apt update - ``` +```sh +$ sudo apt-get update +``` -6. 최선 버전 Docker 설치 +### 6. 최선 버전 Docker 설치 - ```sh - $ sudo apt install docker-ce docker-ce-cli containerd.io - ``` +```sh +$ sudo apt-get install docker-ce docker-ce-cli containerd.io +``` + +### 7. docker 그룹 추가 (Optional) -7. docker 그룹 추가 (Optional) docker command는 root 권한을 요구하므로 매번 docker command를 입력하려면 sudo 명령으로 실행해야 함. 이를 완화하기 위해 docker command를 사용하는 user를 docker 그룹에 포함시켜 sudo 명령을 생략할 수 있게 함. (이후 설명할 docker command는 sudo 명령어를 생략함.) - ```sh - $ sudo usermod -aG docker [your-user] - ``` +```sh +$ sudo usermod -aG docker [your-user] +``` + +실행 후 logout한 다음 (shell에서 exit) 다시 로그인 하여 확인 +tmux와 같은 terminal multiplexer를 사용한다면 모든 session을 종료해야 함. + +```sh +$ id # uid 및 gid 확인 +$ docker run --rm hello-world # test run 정상적으로 실행되는지 확인 +``` - 실행 후 logout한 다음 (shell에서 exit) 다시 로그인 하여 확인 - tmux와 같은 terminal multiplexer를 사용한다면 모든 session을 종료해야 함. +![Image0](./images/image0.png) - ```sh - $ id # uid 및 gid 확인 - $ docker run hello-world # test run 정상적으로 실행되는지 확인 - ``` +### 8. docker-compose 설치하기 -8. docker-compose 설치하기 `docker-compose`는 [multi-container](#Container) Docker application을 정의하고 실행하는 툴인데 단일 [container](#Container)를 실행하고 관리하기에도 매우 유용하다. 사용법은 [docker-compose](#docker-compose) section에서 다루도록 한다. - ```sh - $ sudo curl -L "https://github.com/docker/compose/releases/download/1.24.1/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose # docker-compose 다운로드 - $ sudo chmod +x /usr/local/bin/docker-compose # 실행권한 부여 - $ docker-compose --version # 버전 확인 - ``` +```sh +$ sudo curl -L "https://github.com/docker/compose/releases/download/1.24.1/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose # docker-compose 다운로드 +$ sudo chmod +x /usr/local/bin/docker-compose # 실행권한 부여 +$ docker-compose --version # 버전 확인 +``` + +### 9. [NVIDIA Container Toolkit](https://github.com/NVIDIA/nvidia-docker) 설치 +GPU 자원을 Docker [Container](#Container)에서 사용하기 위해서는 NVIDIA Container +Toolkit을 설치하여야 한다. + +#### Prerequisite + +- Ubuntu 16.04/18.04, Debian Jessie/Stretch/Buster +- Docker >= 19.03 +- [NVIDIA Driver](https://github.com/NVIDIA/nvidia-docker/wiki/Frequently-Asked-Questions#how-do-i-install-the-nvidia-driver) + +```sh +$ distribution=$(. /etc/os-release;echo $ID$VERSION_ID) +$ curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - +$ 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 && sudo apt-get install -y nvidia-container-toolkit +$ sudo systemctl restart docker +``` + +#### Test + +```sh +$ docker run --rm --gpus all nvidia/cuda:9.0-base nvidia-smi +``` + +![Image1](./images/image1.png) + +### 10. GPU-Accelerated Tensorflow 및 Jupyter Notebook을 Container에서 실행해보기 + +#### 실행 + +```sh +$ docker run \ + -it \ # container와 상호작용하기 위한 옵션 (키보드 입력) + --rm \ # container 프로세스가 exit하면 자동으로 container을 삭제 + -p 8888:8888 \ # host와 container의 포트 mapping + -u $(id -u):$(id -g) \ # host의 유저 id와 그룹 id로 container 실행 + --gpus all \ # 모든 gpu 리소스 사용 + tensorflow/tensorflow:2.0.0-gpu-py3-jupyter # 사용할 docker image +``` + +![Image2](./images/image2.png) + +#### 접속하기 + +http://[server ip]:8888/?token=[token] + +![Image3](./images/image3.png) + +#### 테스트 + +

+ +

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