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Ross Wightman 3db4e346e0 Switch TFDS dataset to use INTEGER_ACCURATE jpeg decode by default		2 years ago
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readers	Switch TFDS dataset to use INTEGER_ACCURATE jpeg decode by default	2 years ago
__init__.py	Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc	2 years ago
auto_augment.py	Follow up to #1256, fix interpolation warning in auto_autoaugment as well	2 years ago
config.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	2 years ago
constants.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	2 years ago
dataset.py	Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc	2 years ago
dataset_factory.py	Fix comment: https://github.com/rwightman/pytorch-image-models/pull/1564#issuecomment-1326743424	2 years ago
distributed_sampler.py	Significant model refactor and additions:	3 years ago
loader.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	2 years ago
mixup.py	Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones.	3 years ago
random_erasing.py	Refactor device handling in scripts, distributed init to be less 'cuda' centric. More device args passed through where needed.	2 years ago
real_labels.py	Fix a bug with accuracy retrieving from RealLabels	4 years ago
tf_preprocessing.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	2 years ago
transforms.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	2 years ago
transforms_factory.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	2 years ago