Ignore parameters causing ValueError when dumping to YAML

[Callidior]

What does this PR do?

Fixes #19730

Unserializable parameters such as nn.Modules or Tensors often fail with a ValueError when calling yaml.dump on them and using PyTorch 2.x. Lightning already tries to handle this type of error but only catches TypeError so far. This PR proposes to additionally catch ValueError.

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📚 Documentation preview 📚: https://pytorch-lightning--19804.org.readthedocs.build/en/19804/

[nicolas-mng]

Having the same issue, this fix would be useful.

[zhanghaoyue]

This fix should proceed soon. Otherwise, no way to test multiple models.

[codecov[bot]]

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 53%. Comparing base (a611de0) to head (934f022). Report is 94 commits behind head on master.

:exclamation: There is a different number of reports uploaded between BASE (a611de0) and HEAD (934f022). Click for more details.

HEAD has 173 uploads less than BASE

Flag	BASE (a611de0)	HEAD (934f022)
python3.10	19	12
cpu	64	22
lightning	39	16
pytest	45	2
examples	8	0
app	8	0
python3.8	12	6
lightning_fabric	10	0
python3.11	20	4
tpu	1	0
gpu	4	2
pytorch2.0	12	11
pytest-full	24	22
pytorch2.1	6	5
pytorch_lightning	10	8
lightning_app	1	0

Additional details and impacted files

@@            Coverage Diff             @@
##           master   #19804      +/-   ##
==========================================
- Coverage      84%      53%     -31%     
==========================================
  Files         426      418       -8     
  Lines       35280    35127     -153     
==========================================
- Hits        29616    18708   -10908     
- Misses       5664    16419   +10755     

[awaelchli]

Thank you @Callidior, great fix!