Decouple graph generation from model running#76
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Still need to add mapping from input grid to icosphere, and back
…raph-making # Conflicts: # graph_weather/models/graphs/ico.py
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…raph-making # Conflicts: # graph_weather/models/graphs/ico.py
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Still have an issue with the edges being redundant
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Keeping the grid2mesh, mesh, and mesh2grid separate allows for reducing the size of the graphs that have to stay in memory when running through the model.
…raph-making # Conflicts: # graph_weather/models/graphs/ico.py # graph_weather/models/graphs/utils.py
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Pull Request
Description
This PR adds the ability to generate icosahedral graphs, like used in GraphCast, rather than the hexagonal graphs from
h3. This also decouples the models from the explicit graph, and allows the same model to be used with different graphs.This also adds some more support for GraphCast-type model, and takes inspiration from the Nvidia
moduluscode and the public DeepMind code.This PR also updates dependencies to the latest versions.
Fixes #
How Has This Been Tested?
Unit tests
Checklist: