Add EfficientNet Image PreProcessor (#37055)

* added efficientnet image preprocessor but tests fail

* ruff checks pass

* ruff formatted

* properly pass rescale_offset through the functions

* - corrected indentation, ordering of methods
- reshape test passes when casted to float64
- equivalence test doesn't pass

* all tests now pass
- changes order of rescale, normalize acc to slow
- rescale_offset defaults to False acc to slow
- resample was causing difference in fast and slow. Changing test to bilinear resolves this difference

* ruff reformat

* F.InterpolationMode.NEAREST_EXACT gives TypeError: Object of type InterpolationMode is not JSON serializable

* fixes offset not being applied when do_rescale and do_normalization are both true

* - using nearest_exact sampling
- added tests for rescale + normalize

* resolving reviews

---------

Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com>

docs/source/en/model_doc/efficientnet.md

@@ -43,6 +43,11 @@ The original code can be found [here](https://github.com/tensorflow/tpu/tree/mas
 [[autodoc]] EfficientNetImageProcessor
     - preprocess
 
+## EfficientNetImageProcessorFast
+
+[[autodoc]] EfficientNetImageProcessorFast
+    - preprocess
+
 ## EfficientNetModel
 
 [[autodoc]] EfficientNetModel