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maintain channel order on upload #22

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Merged
dfulu merged 1 commit into from
Aug 20, 2026
Merged

maintain channel order on upload #22

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11 changes: 7 additions & 4 deletions scripts/push_checkpoint_to_huggingface.py
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Original file line number Diff line number Diff line change
Expand Up @@ -87,13 +87,16 @@ def save_model_to_huggingface(
# Save model weights
save_model_as_safetensor(model, f"{save_directory}/{PYTORCH_WEIGHTS_NAME}")

# Save model config
# Save model config. `sort_keys=False` for the same reason as the data config below
with open(save_directory / MODEL_CONFIG_NAME, 'w') as outfile:
yaml.dump(model_config, outfile, default_flow_style=False)
yaml.dump(model_config, outfile, default_flow_style=False, sort_keys=False)

# Save the data config the model was trained with
# Save the data config the model was trained with. `sort_keys=False` because yaml.dump would
# otherwise sort every mapping in the config, including the channels - and the order the
# channels are written in is the order the model reads them, so sorting them silently changes
# which channel the model is shown at each index
with open(save_directory / DATA_CONFIG_NAME, 'w') as outfile:
yaml.dump(data_config, outfile, default_flow_style=False)
yaml.dump(data_config, outfile, default_flow_style=False, sort_keys=False)

# Save the grid the model was trained on. Unlike the experiment config below this is not
# optional - without it nothing downstream can check that an input covers the area the model
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