Enhance Clip_Score to calculate similarities between same modalities

[rittik9]

What does this PR do?

Fixes #2865

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📚 Documentation preview 📚: https://torchmetrics--2875.org.readthedocs.build/en/2875/

[codecov]

Codecov Report

Attention: Patch coverage is 12.72727% with 48 lines in your changes missing coverage. Please review.

Project coverage is 32%. Comparing base (520a868) to head (1abb671).
Report is 1 commits behind head on master.

❗ There is a different number of reports uploaded between BASE (520a868) and HEAD (1abb671). Click for more details.

HEAD has 270 uploads less than BASE

Flag	BASE (520a868)	HEAD (1abb671)
torch2.6.0+cpu	10	2
Windows	15	3
python3.11	20	4
cpu	84	17
torch2.0.1+cpu	15	3
python3.10	44	9
torch2.5.0+cpu	15	3
python3.12	15	3
macOS	20	4
torch2.5.0	5	1
torch2.6.0	5	1
torch2.0.1	10	2
Linux	49	10
torch2.4.1+cpu	10	2
torch2.3.1+cpu	4	1
torch2.1.2+cpu	5	1
torch2.2.2+cpu	5	1
python3.9	5	1
gpu	1	0
unittest	1	0

Additional details and impacted files

@@           Coverage Diff            @@
##           master   #2875     +/-   ##
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- Coverage      69%     32%    -37%     
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  Files         346     332     -14     
  Lines       19146   18996    -150     
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- Hits        13233    6056   -7177     
- Misses       5913   12940   +7027     

[rittik9]

@Borda I am planning to add some tests for new feature (calculate clip score in same modality). I am trying to understand how the reference metric should be.