Enable Hyperparameter logging from any hook in the LightningModule

@cemde is already working on this.

Since Jul 5, 2022.

## 🚀 Feature

Make it possible to call `save_hyperparameters` from any hook in the `LightningModule`.

### Motivation

Sometimes the dataset has hyperparameters that should be logged. However, the `LightningDataModule` is only accessible from the `LightningModule` once the trainer is initiated. Thus, it would be useful to call `save_hyperparameters` from `on_fit_start`, when the `Trainer` is specified and the hyperparameters from the dataset can easily be collected, e.g. through `self.trainer.datamodule.build_hparams()`.

### Pitch

`log_hyperparameters` shouldn't look for `init` args in the local variables when called outside the `__init__` method.

Currently, this behaviour casues an exception in line 154 in `utilities/parsing.py`
```
local_args = {k: local_vars[k] for k in init_parameters.keys()}
```
because the function is looking for the init parameters in the local variables, which are only available when called from `__init__`.

Suggestion: Remove init parameter logging when called from other places.

### Alternatives

Save init parameters and add them later.

### Additional context

N/A

cc @borda @carmocca @justusschock @awaelchli @ananthsub @ninginthecloud @jjenniferdai @rohitgr7