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Ross Wightman
927f031293
Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models
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2 years ago |
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readers
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Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models
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2 years ago |
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__init__.py
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Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc
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2 years ago |
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auto_augment.py
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Follow up to #1256, fix interpolation warning in auto_autoaugment as well
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2 years ago |
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config.py
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Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
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2 years ago |
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constants.py
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Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
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2 years ago |
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dataset.py
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Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc
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2 years ago |
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dataset_factory.py
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Fix comment: https://github.com/rwightman/pytorch-image-models/pull/1564#issuecomment-1326743424
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2 years ago |
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distributed_sampler.py
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Significant model refactor and additions:
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3 years ago |
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loader.py
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Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
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2 years ago |
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mixup.py
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Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones.
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3 years ago |
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random_erasing.py
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Refactor device handling in scripts, distributed init to be less 'cuda' centric. More device args passed through where needed.
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2 years ago |
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real_labels.py
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Fix a bug with accuracy retrieving from RealLabels
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4 years ago |
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tf_preprocessing.py
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Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
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2 years ago |
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transforms.py
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Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
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2 years ago |
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transforms_factory.py
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Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
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2 years ago |
