本文介绍了无法在docker上执行nvidia运行时的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在尝试让nvidia-docker在我的centos7系统上运行:

i'm trying to get nvidia-docker to run on my centos7 system:

$ cat /etc/systemd/system/docker.service.d/override.conf
[Service]
ExecStart=
ExecStart=/usr/bin/dockerd-current --add-runtime docker-runc=/usr/libexec/docker/docker-runc-current --add-runtime=nvidia=/usr/bin/nvidia-container-runtime --default-runtime=docker-runc --exec-opt native.cgroupdriver=systemd --userland-proxy-path=/usr/libexec/docker/docker-proxy-current --seccomp-profile=/etc/docker/seccomp.json $OPTIONS $DOCKER_STORAGE_OPTIONS $DOCKER_NETWORK_OPTIONS $ADD_REGISTRY $BLOCK_REGISTRY $INSECURE_REGISTRY $REGISTRIES

$ cat /etc/docker/daemon.json
{
}

$ docker --version
Docker version 1.13.1, build 774336d/1.13.1

$ sudo systemctl daemon-reload
$ sudo systemctl restart docker

到目前为止一切顺利:

    $ sudo docker run hello-world

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/engine/userguide/

现在,让我们尝试使用nvidia运行时:

now, lets try with the nvidia runtime:

$ sudo docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi
standard_init_linux.go:178: exec user process caused "permission denied"

但奇怪的是...

$ sudo docker run --runtime=nvidia --rm nvidia/cuda sh -c nvidia-smi
Wed May 16 06:41:17 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.42                 Driver Version: 390.42                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla K80           Off  | 00000000:06:00.0 Off |                    0 |
| N/A   28C    P8    26W / 149W |      0MiB / 11441MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+


推荐答案

所以...最后,我完全禁用了selinux,并重新启动并对其进行了修复。

so... in the end i completely disabled selinux and rebooted and that fixed it.

这篇关于无法在docker上执行nvidia运行时的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!

08-12 01:21