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fixed init_model_from_pretrained #51

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fixed init_model_from_pretrained #51

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14 changes: 5 additions & 9 deletions graphgps/finetuning.py
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Original file line number Diff line number Diff line change
Expand Up @@ -121,21 +121,17 @@ def init_model_from_pretrained(model, pretrained_dir,
pretrained_dict = ckpt[MODEL_STATE]
model_dict = model.state_dict()

if reset_prediction_head:
# Filter out prediction head parameter keys.
pretrained_dict = {k: v for k, v in pretrained_dict.items()
if not k.startswith('post_mp')}

if not list(pretrained_dict.keys())[0].startswith('model.'):
# Update checkpoint dict for models saved with GraphGym PyG prior v2.1
for k in list(pretrained_dict.keys()):
# print(f' updating: {k} -> model.{k}')
pretrained_dict[f'model.{k}'] = pretrained_dict.pop(k)

# print('>>>> pretrained dict: ')
# print(pretrained_dict.keys())
# print('>>>> model dict: ')
# print(model_dict.keys())

if reset_prediction_head:
# Filter out prediction head parameter keys.
pretrained_dict = {k: v for k, v in pretrained_dict.items()
if not k.startswith('post_mp')}
# Overwrite entries in the existing state dict.
model_dict.update(pretrained_dict)
# Load the new state dict.
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