Add GLPNImageProcessorFast (#41725)
* Add GLPNImageProcessorFast for torch backend
* Address review feedback
- Simplified to_dict() method
- Keep tensors as torch instead of converting to numpy for heterogeneous shapes
- Removed unnecessary shape guards in post_process_depth_estimation
- Improved variable names (tgt -> target_size, d -> resized)
- Removed unnecessary GLPNImageProcessorKwargs class
* Address review feedback
- Simplified to_dict() method
- Keep tensors as torch instead of converting to numpy for heterogeneous shapes
- Removed unnecessary shape guards in post_process_depth_estimation
- Improved variable names (tgt -> target_size, d -> resized)
- Removed unnecessary GLPNImageProcessorKwargs class
* commits after 2nd review
* Address all review feedback and add explicit batched test
- Simplified to_dict() with descriptive variable names (d->output_dict)
- Fixed resize operation: changed from crop to proper resize with interpolation
- Added padding for heterogeneous batch shapes in both slow and fast processors
- Fused rescale and normalize operations for efficiency
- Improved all variable names (tgt->target_size, d->depth_4d->resized)
- Added GLPNImageProcessorKwargs class in slow processor and imported in fast
- Renamed test_equivalence_slow_fast to test_slow_fast_equivalence
- Added explicit test_slow_fast_equivalence_batched test
- All 20 tests passing
* using padding from utils
* simplify glpn image processor fast
* fix docstring
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Co-authored-by: yonigozlan <yoni.gozlan@huggingface.co>
Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>
