File "/venv/main/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/app/MIPCandy/mipcandy/common/optim/loss.py", line 60, in forward
metrics["dice"] = dice_similarity_coefficient_with_logits(outputs, labels).item()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/workspace/app/MIPCandy/mipcandy/metrics.py", line 72, in dice_similarity_coefficient_with_logits
_args_check(outputs, labels, dtype=torch.float)
File "/workspace/app/MIPCandy/mipcandy/metrics.py", line 11, in _args_check
raise ValueError(f"Outputs ({outputs.shape}) and labels ({labels.shape}) must have the same shape")
ValueError: Outputs (torch.Size([1, 5, 80, 160, 160])) and labels (torch.Size([1, 1, 80, 160, 160])) must have the same shape
