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Ross Wightman 1bcc69e0ad Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354.		4 years ago
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layers	Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354.	4 years ago
pruned	added efficientnet pruned weights	5 years ago
__init__.py	Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.	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	Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.	4 years ago
efficientnet.py	Bug in last mod for features_only default_cfg	4 years ago
efficientnet_blocks.py	Move stride in EdgeResidual block to 3x3 expansion conv. Fix #414	4 years ago
efficientnet_builder.py	Merge branch 'logger' into features. Change 'logger' to '_logger'.	4 years ago
factory.py	ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.	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	Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.	4 years ago
helpers.py	Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.	4 years ago
hrnet.py	Bug in last mod for features_only default_cfg	4 years ago
inception_resnet_v2.py	Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.	4 years ago
inception_v3.py	A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper.	4 years ago
inception_v4.py	Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.	4 years ago
mobilenetv3.py	Bug in last mod for features_only default_cfg	4 years ago
nasnet.py	Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.	4 years ago
nfnet.py	Fix NF-ResNet101 model defs	4 years ago
pnasnet.py	Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.	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	Fix some half removed resnet model defs, pooling for ecaresnet269d	4 years ago
resnetv2.py	Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.	4 years ago
rexnet.py	Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.	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	Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.	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	Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.	4 years ago