mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-03 12:50:06 +06:00
a7d2bbaaa8
* 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> |
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| .. | ||
| bettertransformer | ||
| deepspeed | ||
| extended | ||
| fixtures | ||
| fsdp | ||
| generation | ||
| models | ||
| optimization | ||
| peft_integration | ||
| pipelines | ||
| quantization | ||
| repo_utils | ||
| sagemaker | ||
| tensor_parallel | ||
| tokenization | ||
| trainer | ||
| utils | ||
| __init__.py | ||
| test_backbone_common.py | ||
| test_configuration_common.py | ||
| test_feature_extraction_common.py | ||
| test_image_processing_common.py | ||
| test_image_transforms.py | ||
| test_modeling_common.py | ||
| test_modeling_flax_common.py | ||
| test_modeling_tf_common.py | ||
| test_pipeline_mixin.py | ||
| test_processing_common.py | ||
| test_sequence_feature_extraction_common.py | ||
| test_tokenization_common.py | ||
| test_training_args.py | ||