Zeeshan Khan Suri a7d2bbaaa8 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>		2025-04-16 21:59:24 +02:00
..
__init__.py	Add EfficientNet (#21563)	2023-02-20 16:37:11 +03:00
test_image_processing_efficientnet.py	Add EfficientNet Image PreProcessor (#37055)	2025-04-16 21:59:24 +02:00
test_modeling_efficientnet.py	Use Python 3.9 syntax in tests (#37343)	2025-04-08 14:12:08 +02:00