Add Fast Image Processor for ImageGPT (#39592)
* initial commit
* initial setup
* Overiding imageGPT specific functions
* imported is_torch_available and utilized it for importing torch in imageGPT fast
* Created init and ImageGPTFastImageProcessorKwargs
* added return_tensors, data_format, and input_data_format to ImageGPTFastImageProcessorKwargs
* set up arguments and process and _preprocess definitions
* Added arguments to _preprocess
* Added additional optional arguments
* Copied logic over from base imageGPT processor
* Implemented 2nd draft of fast imageGPT preprocess using batch processing
* Implemented 3rd draft of imageGPT fast _preprocessor. Pulled logic from BaseImageProcessorFast
* modified imageGPT test file to properly run fast processor tests
* converts images to torch.float32 from torch.unit8
* fixed a typo with self.image_processor_list in the imagegpt test file
* updated more instances of image_processing = self.image_processing_class in the test file to test fast processor
* standardized normalization to not use image mean or std
* Merged changes from solution2 branch
* Merged changes from solution2 test file
* fixed testing through baseImageGPT processor file
* Fixed check_code_quality test. Removed unncessary list comprehension.
* reorganized imports in image_processing_imagegpt_fast
* formatted image_processing_imagegpt_fast.py
* Added arg documentation
* Added FastImageProcessorKwargs class + Docs for new kwargs
* Reformatted previous
* Added F to normalization
* fixed ruff linting and cleaned up fast processor file
* implemented requested changes
* fixed ruff checks
* fixed formatting issues
* fix(ruff after merging main)
* simplify logic and reuse standard equivalenec tests
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Co-authored-by: Ethan Ayaay <ayaayethan@gmail.com>
Co-authored-by: chris <christine05789@gmail.com>
Co-authored-by: Ethan Ayaay <98191976+ayaayethan@users.noreply.github.com>
Co-authored-by: yonigozlan <yoni.gozlan@huggingface.co>
