TQDMProgressBar calls tqdm.refresh instead of tqdm.update. #21320
Description
Bug description
As of GH-13962, TQDMProgressBar calls tqdm.refresh instead of tqdm.update, explicitly setting n:
if not bar.disable:
bar.n = value
bar.refresh()
However, I believe the proper API is to use update instead.
In particular, this means that things done as part of update like EMAs are not updated, which means that using a custom callback to e.g. pass smoothing to have instantaneous values doesn't work, or more generally it might break things in subtle ways.
cc @ethanwharris @lantiga @awaelchli
What version are you seeing the problem on?
master
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