安装支持gpu的docker

安装curl:

sudo apt-get update
sudo apt install curl

安装nvidia-docker:

 可能要删除之前的

sudo yum remove docker docker-common container-selinux docker-selinux docker-engine  nvidia-docker

 https://github.com/NVIDIA/nvidia-docker

$ https://github.com/NVIDIA/nvidia-docker
$ 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

 

哦了

 进入时候的命令:

docker run --gpus  all -it -v /home/haiou/work/bert:/home/work tensorflow/tensorflow:1.13.1-gpu-py3

才能使用gpu(不同版本docker不一样)

 

posted @ 2019-11-20 20:02  hozhangel  阅读(2050)  评论(0编辑  收藏  举报