Model parameters don't get updated after upgrading from 1.1.4 to 2.0.7

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### Bug description

I have a code that can be trained in 1.4, but the model parameters are not updated in 2.0.7 version. What is the possible reason? thanks a lot.

### What version are you seeing the problem on?

v2.0, master

### How to reproduce the bug

_No response_

### 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_

The issue does not name any files, tests, reproduction steps, logs, or complete environment details. Start by obtaining a minimal reproducible example and the missing version and runtime information, then compare parameter updates between the reported versions. Done means identifying the cause and documenting a verified regression test or reproduction.

Written by the indexing model from the issue text.