tensorflow-gpu 를 docker image 로 설치하기
- Ubuntu 18.04 를 설치 한다.
- docker image 이기 때문에 ubuntu version 에 의존하지 않지만 nvidia driver 를 최신으로 설치하기 위해 18.04 를 설치 함.
- nvidia driver 를 설치
- cuda toolkit 을 설치하지 않기 때문에 nvidia driver 를 설치해 주어야 함.
- ubuntu-drivers 의 결과중 최신을 설치해 줌.
$ ubuntu-drivers devices
$ sudo apt install nvidia-396
- reboot
- reboot 후 아래 명령어로 drvier 설치 확인
$nvidia-smi
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 396.37 Driver Version: 396.37 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1060 Off | 00000000:01:00.0 Off | N/A |
| N/A 50C P2 27W / N/A | 326MiB / 6078MiB | 1% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1040 G /usr/lib/xorg/Xorg 187MiB |
| 0 1724 G compiz 136MiB |
+-----------------------------------------------------------------------------+
- docker-ce 설치
$ sudo apt-get remove docker docker-engine docker.io containerd runc
$ sudo apt-get update
$ sudo apt-get install apt-transport-https ca-certificates curl gnupg-agent software-properties-common
$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
$ sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
$ sudo apt-get update
$ sudo apt-get install docker-ce docker-ce-cli containerd.io
- nvidia docker 설치
$ 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
$ sudo apt-get update
$ sudo apt-get install -y nvidia-docker2
$ sudo pkill -SIGHUP dockerd
- tensorflow image download & test
$ docker run --runtime=nvidia -it --rm tensorflow/tensorflow:latest-gpu python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
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