Add enable_autolog_hparams argument to Trainer.

[duydl]

What does this PR do?

This PR provides flexibility for users who prefer to handle hyperparameter logging differently.

• Adds the enable_autolog_hparams argument to Trainer, allowing users to disable automatic logging of hyperparameters.
• Updates the documentation with examples demonstrating how to manually log hyperparameters when enable_autolog_hparams=False.

Possibly address #19889 .

No breaking changes.

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📚 Documentation preview 📚: https://pytorch-lightning--20593.org.readthedocs.build/en/20593/

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 79%. Comparing base (a0134d2) to head (2be8ead).

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HEAD has 105 uploads less than BASE

Flag	BASE (a0134d2)	HEAD (2be8ead)
cpu	48	24
lightning	31	15
pytest	27	0
python3.11	12	6
python3.10	12	6
python	6	3
lightning_fabric	11	0
gpu	3	0
python3.12.7	18	9

Additional details and impacted files

@@            Coverage Diff            @@
##           master   #20593     +/-   ##
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- Coverage      88%      79%     -9%     
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  Files         267      264      -3     
  Lines       23373    23320     -53     
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- Hits        20483    18374   -2109     
- Misses       2890     4946   +2056     

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[duydl]

@Borda Thank you. Please merge when convenient.

[Borda]

@lantiga mind sharing your point of view on this new Trainer's flag?

[lantiga]

Thank you @duydl, I'm good with the new argument.