[`OWL-VIT`] Added sdpa attention
Author: nileshkokane01
Pull request: yes

# What does this PR do?

This PR add sdpa attention for OWL-ViT.

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Fixes #28103


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@NielsRogge  @younesbelkada
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Comments:
I have added an initial draft for sdpa attention, but I guess,  more changes are needed as the OWL-ViT is a bit different compared to llama or Mistral.

Can you please point me out  a similar model close to OWL-ViT or  rather let me know the additional changes required in the file. Also, casual_attention_mask is not handled correctly - have no clue how to handle. Additionally, a corresponding test case is also necessary.

fyi @younesbelkada 

@younesbelkada ,
I'm trying to solve the errors. I'll let you know when its all ready or if I need any assistance.

@younesbelkada  ,

I get the following error since the batch size is dropped, and therefore the dimensionality is not matching.  Any clues ? 

`
[192, 16, 16] doesn't match the broadcast shape [48, 192, 16 ,16]
`

Also causal_attention_mask is not used at all in sdpa; don't know how to handle it on below line. 

https://github.com/nileshkokane01/transformers/blob/sdpa_for_OWL_ViT/src/transformers/models/owlvit/modeling_owlvit.py#L484 

@younesbelkada  ,

I sought of tried to fix the dimensionality mismatch for batch size , but couldn't figure out. Any clue ? 
```python 
RuntimeError: output with shape 
[192, 16, 16] doesn't match the broadcast shape [48, 192, 16, 16]
```
with these 11 test seems to fail.


Hi @nileshkokane01 
Thanks for getting back ! For that I need to deep dive into your branch and try to fix things, I will do that in the next days 🙏 

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

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