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Fix OrderedDict mutation while iteration in prepare_data.py #6

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Fix OrderedDict mutation while iteration in prepare_data.py #6

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14 changes: 11 additions & 3 deletions preprocess_capture_data/calc_masks.py
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Original file line number Diff line number Diff line change
Expand Up @@ -165,16 +165,24 @@ def calculate_mask(args):
normalize,
])

# Load existing state_dict and state_dict_old
state_dict = model.state_dict().copy()
state_dict_old = torch.load(args.CDGNET_ckpt, map_location='cpu')

# Create a temp dict to update state_dict while avoiding OrderedDict RuntimeError
updated_state_dict = {}

for key, nkey in zip(state_dict_old.keys(), state_dict.keys()):
if key != nkey:
# remove the 'module.' in the 'key'
state_dict[key[7:]] = deepcopy(state_dict_old[key])
# Remove 'module.' from 'key'
updated_state_dict[key[7:]] = deepcopy(state_dict_old[key])
else:
state_dict[key] = deepcopy(state_dict_old[key])
updated_state_dict[key] = deepcopy(state_dict_old[key])

# Update state_dict after the loop
state_dict.update(updated_state_dict)

# Load and set the model's state_dict
model.load_state_dict(state_dict)
model.eval()
model.cuda()
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