Fix custom kernel for DeformableDetr, RT-Detr, GroundingDINO, OmDet-Turbo in Pytorch 2.6.0

[qubvel]

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:

• at::Tensor::data() is deprecated but no other way is suggested for cpp extensions pytorch/pytorch#28472
• https://discuss.pytorch.org/t/kernel-launch-deprecated-packed-accessor-arguments-and-tensor-type-alternative/138875

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Did you read the contributor guideline,
  Pull Request section?
• Was this discussed/approved via a Github issue or the forum? Please add a link
  to it if that's the case.
• Did you make sure to update the documentation with your changes? Here are the
  documentation guidelines, and
  here are tips on formatting docstrings.
• Did you write any new necessary tests?

Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

[HuggingFaceDocBuilderDev]

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

[qubvel]

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

[github-actions]

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

[qubvel]

cc @molbap @ArthurZucker for review

[ArthurZucker]

Thanks!

[felifri]

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

[qubvel]

Done! Thanks 🤗