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Ross Wightman f591e90b0d Make sure num_features attr is present in vit models as with others		4 years ago
..
layers	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago
pruned	added efficientnet pruned weights	5 years ago
__init__.py	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago
cspnet.py	Add CSPResNet50 weights, 79.6 top-1 at 256x256	4 years ago
densenet.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
dla.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
dpn.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
efficientnet.py	Add EfficientNet-EdgeTPU-M (efficientnet_em) model trained natively in PyTorch. More sotabench fiddling.	4 years ago
efficientnet_blocks.py	AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992	4 years ago
efficientnet_builder.py	Merge branch 'logger' into features. Change 'logger' to '_logger'.	4 years ago
factory.py	Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool	4 years ago
features.py	Fix some attributions, add copyrights to some file docstrings	4 years ago
gluon_resnet.py	fix test_model_default_cfgs	4 years ago
gluon_xception.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
helpers.py	Cleanup Apex vs native AMP scaler state save/load. Cleanup CheckpointSaver a bit.	4 years ago
hrnet.py	hrnet features_only pretrained weight loading issue. Fix #232.	4 years ago
inception_resnet_v2.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
inception_v3.py	fix test_model_default_cfgs	4 years ago
inception_v4.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
mobilenetv3.py	Fix MobileNetV3 crash with global_pool='', output consistent with other models but not equivalent due to efficient head.	4 years ago
nasnet.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
pnasnet.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
registry.py	Fix some attributions, add copyrights to some file docstrings	4 years ago
regnet.py	Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.	4 years ago
res2net.py	Fix some checkpoint / model str regressions	4 years ago
resnest.py	fix test_model_default_cfgs	4 years ago
resnet.py	Add ResNet weights. 80.5 (top-1) ResNet-50-D, 77.1 ResNet-34-D, 72.7 ResNet-18-D.	4 years ago
rexnet.py	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago
selecsls.py	fix test_model_default_cfgs	4 years ago
senet.py	AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992	4 years ago
sknet.py	fix test_model_default_cfgs	4 years ago
tresnet.py	Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'	4 years ago
vision_transformer.py	Make sure num_features attr is present in vit models as with others	4 years ago
vovnet.py	Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.	4 years ago
xception.py	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
xception_aligned.py	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago