Commit 6b3ae6a1 authored by Thomas Lips's avatar Thomas Lips
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Update README.md

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......@@ -11,8 +11,12 @@ Docker resources for GPULab
- build using `docker build -t jupyter-lab:test JupyterLab/`
- run the container using `docker run -p 8888:8888 -it -e JUPYTER_ENABLE_LAB=yes jupyter-lab:test`
- follow the URL in the cli to open the jupyter lab instance and test the environment
## VSCode Development Containers
- clone this repo as a submodule in the `.devcontainer` folder
- configure the `.devcontainer.json` to build the desired docker file
## Using the images on the IDLab JupyterHub:
To enable GPU on local devices: install the [nvidia docker toolkit](https://github.com/NVIDIA/nvidia-docker) and pass the `--gpus all` arg to docker to allow for discovering the GPUs. The nvidia toolkit will use the on-device drivers while installing the cuda toolkit in the container.
## IDLab JupyterHub:
- use `gitlab+deploy-token-8:YHsqg1MHW-C4GJpr_B-D@gitlab.ilabt.imec.be:4567/tlips/gpulab/jupyterlab-pytorch:latest` as custom docker image.
### Known Issues:
......@@ -23,3 +27,4 @@ Docker resources for GPULab
- gitlab build: https://gitlab.ilabt.imec.be/dml/gpulab/-/blob/master/.gitlab-ci.yml
- custom conda env: https://jupyter-docker-stacks.readthedocs.io/en/latest/using/recipes.html#using-pip-install-or-conda-install-in-a-child-docker-image
- base images: https://gitlab.ilabt.imec.be/ilabt/gpu-docker-stacks ; https://doc.ilabt.imec.be/ilabt/jupyter/configuration.html#docker-image
- nvidia gpu on local devices: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/user-guide.html
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