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Feature/hierarchical graphs #37
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…PN/anemoi-models into feature/hierarchical_graphs
@icedoom888 thanks for the contribution. |
Hello @mchantry, @floriankrb, I am currently blocked due to the switch to anemoi-training from aifs-mono. |
UPDATE:
Please feel free to take a look and make any sort of suggestions! |
# (C) Copyright 2024 ECMWF. | ||
# | ||
# This software is licensed under the terms of the Apache Licence Version 2.0 | ||
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. | ||
# In applying this licence, ECMWF does not waive the privileges and immunities | ||
# granted to it by virtue of its status as an intergovernmental organisation | ||
# nor does it submit to any jurisdiction. | ||
# | ||
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Can the copyright statement be updated in accordance with #67?
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Done ✔️
print( | ||
input_dim, | ||
getattr(self, f"latlons_{self._graph_hidden_names[0]}").shape[1], | ||
self.hidden_dims[self._graph_hidden_names[0]], | ||
) |
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Is this a leftover debug?
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Removed ✔️
An implementation of hierarchical graph model.
This allows for the creation of a model capable of dealing with multi-layered hierarchical graphs.
The model is agnostic to the choosen architecture (GNN, GraphTransformer).