feat: Add device consistency support to BatchFeature and ProcessorMixin #42722
Author: nathon-lee
Pull request: yes

feat: Add device consistency support to BatchFeature and ProcessorMixin

fix : #42722
# What does this PR do?
feat: Add device consistency support to BatchFeature and ProcessorMixin

- Add device parameter to BatchFeature.__init__ for automatic tensor device placement
- Add device parameter to ProcessingKwargs as a common argument alongside return_tensors
- Update ProcessorMixin.__call__ to pass device parameter to BatchFeature
- Add comprehensive documentation explaining device parameter usage
- Implement device consistency logic that moves all tensors to the specified device

This change addresses the device inconsistency issue in OneFormerProcessor and provides
a general solution for all processors that use BatchFeature. The implementation
follows community feedback to centralize device handling in BatchFeature rather than
individual processors.

Usage: processor(image, ["semantic"], return_tensors="pt", device="cuda")
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Fixes #42722


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Library:

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