Support fdma for models with attention bias
Author: LoserCheems
Pull request: yes

# What does this PR do?

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Fixes #41465


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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## Who can review?

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@MekkCyber @drbh

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Models:

- text models: @ArthurZucker @Cyrilvallez
- vision models: @yonigozlan @molbap
- audio models: @eustlb @ebezzam @vasqu
- multimodal models: @zucchini-nlp
- graph models: @clefourrier

Library:

- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- continuous batching: @remi-or @ArthurZucker @McPatate
- pipelines: @Rocketknight1
- tokenizers: @ArthurZucker and @itazap
- trainer: @SunMarc
- attention: @vasqu @ArthurZucker @CyrilVallez
- model loading (from pretrained, etc): @CyrilVallez
- distributed: @3outeille @ArthurZucker
- CIs: @ydshieh

Integrations:

- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization: @SunMarc @MekkCyber
- kernels: @MekkCyber @drbh
- peft: @BenjaminBossan @githubnemo

Devices/Backends:

- AMD ROCm: @ivarflakstad
- Intel XPU: @IlyasMoutawwakil
- Ascend NPU: @ivarflakstad 

Documentation: @stevhliu

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Comments:
hi @vasqu, is there and referenceable process tutorial available

There is a blog at https://huggingface.co/blog/kernel-builder but I would wait for @MekkCyber @drbh as they are more familiar there and can provide proper guidance. 

Thank you @MekkCyber for your guidance, but I have encoumtered some issues regarding building the wheel:  https://github.com/huggingface/kernel-builder/issues/283

Hi @LoserCheems , any progress here?

> Hi @LoserCheems , any progress here?

I'm very sorry. I haven't been able to proceed smoothly with the kernel-builder process. I think I need help...