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LRScheduler parameter removed for Pytorch 2.6 #5

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DeshanKTD wants to merge 2 commits into from
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LRScheduler parameter removed for Pytorch 2.6 #5

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33a7552
LRSheduler parameter removed for pytorch 2.6
DeshanKTD May 23, 2025
1742c2a
updated predict_from_raw_data torch.load for 2.6
DeshanKTD May 24, 2025
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2 changes: 1 addition & 1 deletion nnunetv2/inference/predict_from_raw_data.py
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Expand Up @@ -82,7 +82,7 @@ def initialize_from_trained_model_folder(self, model_training_output_dir: str,
for i, f in enumerate(use_folds):
f = int(f) if f != 'all' else f
checkpoint = torch.load(join(model_training_output_dir, f'fold_{f}', checkpoint_name),
map_location=torch.device('cpu'))
map_location=torch.device('cpu'),weights_only=False)
if i == 0:
trainer_name = checkpoint['trainer_name']
configuration_name = checkpoint['init_args']['configuration']
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2 changes: 1 addition & 1 deletion nnunetv2/training/lr_scheduler/polylr.py
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Expand Up @@ -8,7 +8,7 @@ def __init__(self, optimizer, initial_lr: float, max_steps: int, exponent: float
self.max_steps = max_steps
self.exponent = exponent
self.ctr = 0
super().__init__(optimizer, current_step if current_step is not None else -1, False)
super().__init__(optimizer, current_step if current_step is not None else -1)

def step(self, current_step=None):
if current_step is None or current_step == -1:
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