Modulus Launch (Beta)

Modulus Launch is a PyTorch based deep-learning collection of training recipes and tools for creating physical surrogates. The goal of this repository is to provide a collection of deep learning training examples for different phenomena as starting points for academic and industrial applications.

This is an early-access beta release

Modulus Packages

• Modulus (Beta)
• Modulus Launch (Beta)
• Modulus Symbolic (Beta)

Installing

Modulus is coming to PyPi soon! In the mean time the best way is to install from source:

git clone git@github.com:NVIDIA/modulus-launch.git && cd modulus-launch

pip install .

Docker

To build Modulus Launch docker image:

docker build -t modulus-launch:deploy --target deploy -f Dockerfile .

To build CI image:

docker build -t modulus-launch:ci --target ci -f Dockerfile .

To build any of these images on top of the Modulus base image, you can --build-arg BASE_CONTAINER=modulus:deploy to the above commands as shown below:

docker build --build-arg BASE_CONTAINER=modulus:deploy -t modulus-launch:deploy --target deploy -f Dockerfile .

Contributing

Modulus is in an open-source beta. We are not accepting external contributions at this time.

Contact

Reach out to Modulus team members and user community on the NVIDIA developer forums.

License

Modulus Launch is provided under the Apache License 2.0, please see LICENSE.txt for full license text