Fix custom kernel for DeformableDetr, RT-Detr, GroundingDINO, OmDet-Turbo in Pytorch 2.6.0
Author: qubvel
Pull request: yes
Labels: name: Vision

# What does this PR do?

Updates 
- tesnor.type().is_cuda() -> tesnor.is_cuda(); 
- tensor.data<...> -> tensor.data_ptr<...>

The following message appears in logs:
```
Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) 
is a drop-in replacement. If you were using data from type(), that is now available from Tensor 
itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of 
tensor.type().backend() use tensor.device().
```

Fixes #35976 

Might be relevant:
 - https://github.com/pytorch/pytorch/issues/28472
 - https://discuss.pytorch.org/t/kernel-launch-deprecated-packed-accessor-arguments-and-tensor-type-alternative/138875

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Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_35979). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

run-slow: rt-detr, deformable_detr, omdet-turbo

This comment contains run-slow, running the specified jobs: ['models/deformable_detr'] ...

cc @molbap @ArthurZucker for review

Thanks so much for the fix! can you change the name GroindingDINO to GroundingDINO?

Done! Thanks 🤗