Fix: batch size setting problem in ContrastiveVI

[ori-kron-wis]

close #3626

[ori-kron-wis]

Also added or settings.batch_size in case batch_size is not set inside data loaders, for all models.

Consider to set the same batch_size for all models by default (right now, it varies between models, from 64 to 512)

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 74.59%. Comparing base (39abdb9) to head (160481c).

❗ There is a different number of reports uploaded between BASE (39abdb9) and HEAD (160481c). Click for more details.

HEAD has 64 uploads less than BASE

Flag	BASE (39abdb9)	HEAD (160481c)
	67	3

Additional details and impacted files

@@             Coverage Diff             @@
##             main    #3629       +/-   ##
===========================================
- Coverage   86.72%   74.59%   -12.13%     
===========================================
  Files         225      225               
  Lines       21593    21594        +1     
===========================================
- Hits        18726    16109     -2617     
- Misses       2867     5485     +2618     

Files with missing lines	Coverage Δ
src/scvi/dataloaders/_data_splitting.py	95.52% <ø> (ø)
...ernal/contrastivevi/_contrastive_data_splitting.py	89.47% <ø> (ø)
src/scvi/external/contrastivevi/_model.py	80.20% <ø> (ø)
src/scvi/external/cytovi/_model.py	62.24% <ø> (-18.88%)	⬇️
src/scvi/model/_multivi.py	80.13% <ø> (ø)
src/scvi/model/_totalvi.py	88.02% <ø> (ø)
src/scvi/model/base/_jaxmixin.py	94.44% <100.00%> (+0.15%)	⬆️
src/scvi/model/base/_pyromixin.py	92.39% <ø> (-4.35%)	⬇️
src/scvi/model/base/_training_mixin.py	73.70% <100.00%> (-17.85%)	⬇️

... and 59 files with indirect coverage changes

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