Installation#
Linux / MacOS#
Conda installation:
conda install fegrow -c conda-forge
We recommend using mambaforge which is a flavour of conda. Conda struggles with resolving the environment.
To use the latest git version, download the code and use the provided environment file environment.yml
git clone https://github.com/cole-group/FEgrow.git
cd FEgrow
mamba env create -f environment.yml
conda activate fegrow
pip install --no-deps . # the repository directory
In order to ensure that the environment is available in your jupyter, you can then use
python -m ipykernel install --user --name=fegrow
Warning
Gnina stage is not supported on MacOS because CUDA's is not available on MacOS (see issue)
Windows#
We have not verified whether this toolkit works on Windows and we expect issues with the dependancy openmm-torch.