cyversevice/jupyterlab-tensorflow
Project Jupyter Tensorflow Notebook with CyVerse addins.
Jupyter Lab Datascience image built from the Tensorflow Notebook for CyVerse VICE. Project Jupyter's base image requires a couple additional configuration files for it be compatible with CyVerse Kubernetes orchestration and iRODS data store.
To run the JupyterLab, you must first pull
from DockerHub, or activate a CyVerse Account and launch in the Discovery Environment VICE.
The container for running JupyterLab is hosted on DockerHub and can be started locally:
docker pull cyversevice/jupyterlab-tensorflow:latest
docker run -it --rm -d cyversevice/jupyterlab-tensorflow:latest
docker run --gpus all -it --rm -d cyversevice/jupyterlab-tensorflow:latest
Unless you plan on making changes to this container, you should just use the existing launch button above.
You can build a new Docker container with additional dependencies from this Docker Hub image by using the FROM cyversevice/jupyterlab-tensorflow:latest
at the beginning of your own Dockerfile.
Developer notes
To test the container locally:
docker run --gpus all -it --rm -v /$HOME:/work --workdir /work -p 8888:8888 -e REDIRECT_URL=http://localhost:8888 cyversevice/jupyterlab-tensorflow:latest
docker pull cyversevice/jupyterlab-tensorflow