设置 docker 容器，以便我可以访问 ubuntu 服务器上的 python 包

Question

I'm new to using Docker, so I'm either looking for direct help or a link to a relevant guide. I need to train some deep learning models on my school's linux server, but I can't manually install pytorch and other python packages since I don't have root access (sudo). Another student said that he uses docker and has everything ready to go in his container.

I'm wondering how to wrap up my code and relevant packages into a container that I can push to the linux server and then run.

Answer 1

To address your specific problem the easiest way I found to get code into a container is to use git.

1. start the container in interactive mode or ssh to it if it's attached to a network.

2. git clone <your awesome deep learning code> . In your git repo have a requirements.txt file. Change directories into your local clone of your repo and run pip install -r requirements.txt

3. Run whatever script you need to run your code. Note you can easily put your pip install command in one of your run scripts.

It's important to remember that docker containers are stateless/ephemeral. You should not expect the container nor its contents to exist in some durable fashion. This specific issue is addressed by mapping a directory on the host system to a directory in the container.

Side note: I first recommend starting with the docker tutorial . You can easily skip over the installation parts if you are working on system that already has docker installed and where you have permissions to build, start, and stop containers.

Answer 2

I don't have root access (sudo). Another student said that he uses docker

I would like to point out that docker requires sudo permissions.

Instead I think you should look at using something like Google Colab or JupyterLab. This gives you the added benefit of code that is backed-up on a remote server