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Ross Wightman 90a01f47d1 hrnet features_only pretrained weight loading issue. Fix #232.		4 years ago
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layers	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
pruned	…
__init__.py	…
cspnet.py	Add CSPResNet50 weights, 79.6 top-1 at 256x256	4 years ago
densenet.py	…
dla.py	…
dpn.py	…
efficientnet.py	Add new EfficientNet-B3 and RegNetY-3.2GF weights, both just over 82 top-1	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	…
factory.py	…
features.py	…
gluon_resnet.py	fix test_model_default_cfgs	4 years ago
gluon_xception.py	…
helpers.py	Fix a few more issues related to #216 w/ TResNet (space2depth) and FP16 weights in wide resnets. Also don't completely dump pretrained weights in in_chans != 1 or 3 cases.	4 years ago
hrnet.py	hrnet features_only pretrained weight loading issue. Fix #232.	4 years ago
inception_resnet_v2.py	…
inception_v3.py	fix test_model_default_cfgs	4 years ago
inception_v4.py	…
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	…
pnasnet.py	…
registry.py	…
regnet.py	Add new EfficientNet-B3 and RegNetY-3.2GF weights, both just over 82 top-1	4 years ago
res2net.py	…
resnest.py	fix test_model_default_cfgs	4 years ago
resnet.py	fix test_model_default_cfgs	4 years ago
rexnet.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
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	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
vovnet.py	…
xception.py	…
xception_aligned.py	fix test_model_default_cfgs	4 years ago