Closed paapu88 closed 2 years ago
Oh yeah, the easiest method right now to run graph_weather is to use conda and use conda env create -f environment.yml
from the base of the repo, as it will install those dependencies. I had trouble getting the different torch-geometric to install correctly with pip before, but glad you were able to!
Dear Developers, I installed graph_weather from source (from the main branch) using
pip install -e .
in the main directory (directory graph_weather, where the setup.py lives).I wanted to do some training, but before that I needed to install additional dependencies:
In the last one check correct pytorch + cuda/cpu combination from https://pypi.org/project/torch-sparse/ (I had pytorch 1.12 and cu102 (I had gpu with CUDA 10.2) )
With these additions I got
python3 graph_weather/train/pl_graph_weather.py
going.Terveisin, Markus