https://github.com/gaborvecsei/jupyter-lab-docker
https://github.com/gaborvecsei/jupyter-lab-docker
docker docker-compose gpu gpu-tensorflow jupyter jupyter-notebook jupyterlab
Last synced: about 1 month ago
JSON representation
- Host: GitHub
- URL: https://github.com/gaborvecsei/jupyter-lab-docker
- Owner: gaborvecsei
- Created: 2018-08-23T12:31:01.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-09-01T15:27:53.000Z (almost 8 years ago)
- Last Synced: 2024-12-29T17:16:57.647Z (over 1 year ago)
- Topics: docker, docker-compose, gpu, gpu-tensorflow, jupyter, jupyter-notebook, jupyterlab
- Language: Dockerfile
- Size: 12.7 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Jupyter Lab Docker Container
Simple docker container which has a Jupyter Lab and the necessary packages/tools to work with GPUs
## Setup
For your own needs edit the [requirements.txt](conf_files/requirements.txt) file and also the
[Jupyter Notebook/Lab config file](conf_files/jupyter_notebook_config.py)
### Install Docker
- You'll need `docker` and `nvidia-docker2`
- Edit `/etc/docker/daemon.json`
- Add `"default-runtime": "nvidia"` as first level entry inside the json file
### Build Base Image
- At the base image folder:
```
$ sudo docker-compose build
```
### Build Actual Image & Run it
- At the root folder:
```
$ sudo docker-compose build
$ sudo docker-compose up
```
- Once it is started to you can reach Jupyter Lab: `localhost:8889`
- Tensorboard works also on `localhost:6006`