User Tools

Site Tools


public:docker

Last-updated: 2025/02/23 liangz

Docker tutorial

Step 1: Understand docker

  • Read https://docs.docker.com/get-started/docker-overview/ and understand (docker) image, container, daemon, client, hub (registry), pull, push.
  • Install docker (Linux Mint as example. Information on other OSes are welcome too.)
    • $ sudo apt install docker.io
    • Add your username to the “docker” group (or by editing /etc/group directly).
      • $ sudo usermod -aG docker your_username
      • Logout & login to make the change of group into effect, or simply reboot your Linux.
  • Run a ubuntu container (docker client will automatically pull a ubuntu image and create a local container.). If you get a console with command prompt “root@xxxxxxxxxxxx:/,” it worked.
    • $ docker run -i -t ubuntu /bin/bash
  • Exit the container by exit (notice the prompt changed to “#”, showing you are the root)
    • # exit

Step 2 (if you have an NVidia GPU): Install Nvidia GPU support

Step 3: Install PyTorch (for development)

  • $ docker pull pytorch/pytorch:latest
  • $ docker run –rm –gpus all pytorch/pytorch:latest python -c “import torch; print(torch.cuda.is_available())”
  • If you see “True”, it worked.

Step 4: Work with PyTorch

  • $ docker run -it –gpus all –rm pytorch/pytorch:latest bash
  • # nvidia-smi
  • If you see the use of your GPU, it worked.

References

public/docker.txt · Last modified: 2025/02/23 23:03 by liang