fenicstensorflow

Docker image supporting fenicsproject's simulation framework and tensorflow with cuda.

This repository provides a Dockerfile to build an image based on an FEniCS Project's quay.io/fenicsproject/stable:current with added GPU support from nvidia/cuda as well as pre-installed tensorflow-2.0 and SciPy packages for data analysis.

Starting the container

Start the container with

$ docker run -p $host_port:8888 konstagapov/fenicstensorflow:latest

By default, the container starts with jupyter lab listening on port 8888, which will be accessible at http://localhost:$host_port.

Mounting data from host

In order to have your data accessible in jupyter lab, mount them using

$ docker run -v /path/to/directory/on/host:/home/fenics/shared -p $host_port:8888 konstagapov/fenicstensorflow:latest