Why pytorch lightning do not return the traceback informantion? #21038
Description
Bug description
When I use pytorch lightning to train a model with trainer.fit(), there are some error in my code which may cause because of the mismatch of feature dimension.
However, although my training fails, I cannot find where the error occur? Why lightning do not return the traceback information to help us locate the position of error?
I only get message like "The size of tensor a (0) must match the size of tensor b (16) at non-singleton dimension 1"
This is useless because I have no idea where this error happen.
What version are you seeing the problem on?
v2.5
Reproduced in studio
No response
How to reproduce the bug
Error messages and logs
# Error messages and logs here please
Environment
Current environment
#- PyTorch Lightning Version (e.g., 2.5.0):
#- PyTorch Version (e.g., 2.5):
#- Python version (e.g., 3.12):
#- OS (e.g., Linux):
#- CUDA/cuDNN version:
#- GPU models and configuration:
#- How you installed Lightning(`conda`, `pip`, source):
More info
No response