虽然有 官方安装教程，但是这个好像并不是很好用
建议直接按照 清华docker的教程来操作
Ubuntu docker.png
issue
如果运行sudo add-apt-repository出错，请看我的这篇文章 add-apt-repository 报错
# docker查看全部容器命令
docker ps -a
接下来按照nvidia官方安装教程 安装即可
注意，这里要求较高版本的docker
issue
https://github.com/NVIDIA/nvidia-docker/issues/1225
最后在运行这行代码的时候
sudo docker run --rm --gpus all nvidia/cuda:11.0-base nvidia-smi
如果出现下面的报错
docker: Error response from daemon: OCI runtime create failed:
container_linux.go:349: starting container process caused
"process_linux.go:449: container init caused
\"process_linux.go:432: running prestart hook 0 caused \\\"error
running hook: exit status 1, stdout: , stderr: nvidia-container-cli:
requirement error: unsatisfied condition: cuda>=11.0, please
update your driver to a newer version, or use an earlier cuda
container\\\\n\\\"\"": unknown.
输入下面的代码，查看显卡信息
nvidia-smi
CUDA 10.0 containers至少需要r410
CUDA 10.1 containers至少需要r418
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.48 Driver Version: 410.48 |
|-------------------------------+----------------------+----------------------+
| 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 RTX 2070 Off | 00000000:02:00.0 Off | N/A |
| 0% 24C P8 11W / 215W | 0MiB / 7952MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
这里换成相应版本就可以
sudo docker run --rm --gpus all nvidia/cuda:10.0-base nvidia-smi
