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Ross Wightman 231d04e91a 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
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layers	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
pruned	…
__init__.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
cspnet.py	…
densenet.py	…
dla.py	…
dpn.py	…
efficientnet.py	Bug in last mod for features_only default_cfg	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	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	…
gluon_resnet.py	…
gluon_xception.py	…
helpers.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
hrnet.py	Bug in last mod for features_only default_cfg	4 years ago
inception_resnet_v2.py	…
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	…
mobilenetv3.py	Bug in last mod for features_only default_cfg	4 years ago
nasnet.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
pnasnet.py	…
registry.py	…
regnet.py	Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.	4 years ago
res2net.py	…
resnest.py	…
resnet.py	Add pool_size to default cfgs for new models to prevent tests from failing. Add explicit 200D_320 model entrypoint for next benchmark run.	4 years ago
resnetv2.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
rexnet.py	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago
selecsls.py	…
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	…
tresnet.py	Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'	4 years ago
vision_transformer.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
vovnet.py	Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.	4 years ago
xception.py	…
xception_aligned.py	Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.	4 years ago