After resuming traing scheduler.step() will not update optimzer's learning rate

[zxydi1992]

Bug description

Not able to update learning rate after resuming is a critical bug, and make training longer jobs with Pytorch Lightning very hard.

#12812

What version are you seeing the problem on?

v1_9

How to reproduce the bug

NA

Error messages and logs

# Error messages and logs here please

Environment

Current environment

#- Lightning Component (e.g. Trainer, LightningModule, LightningApp, LightningWork, LightningFlow):
#- PyTorch Lightning Version (e.g., 1.5.0):
#- Lightning App Version (e.g., 0.5.2):
#- PyTorch Version (e.g., 2.0):
#- Python version (e.g., 3.9):
#- OS (e.g., Linux):
#- CUDA/cuDNN version:
#- GPU models and configuration:
#- How you installed Lightning(`conda`, `pip`, source):
#- Running environment of LightningApp (e.g. local, cloud):

More info

No response

[Borda]

as here we do not have any more details, let's close it and re-classify the #12812 as bug