Ross Wightman 1bcc69e0ad Use in_channels for depthwise groups, allows using out_channels=N * in_channels (does not impact existing models). Fix #354.

2021-02-09 16:22:52 -08:00

..

layers

Use in_channels for depthwise groups, allows using out_channels=N * in_channels (does not impact existing models). Fix #354.

2021-02-09 16:22:52 -08:00

pruned

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__init__.py

Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.

2021-01-27 22:06:57 -08:00

cspnet.py

Add CSPResNet50 weights, 79.6 top-1 at 256x256

2020-08-12 11:20:11 -07:00

densenet.py

More uniform treatment of classifiers across all models, reduce code duplication.

2020-08-03 22:18:24 -07:00

dla.py

More uniform treatment of classifiers across all models, reduce code duplication.

2020-08-03 22:18:24 -07:00

dpn.py

Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.

2021-02-09 16:22:52 -08:00

efficientnet_blocks.py

Move stride in EdgeResidual block to 3x3 expansion conv. Fix #414

2021-02-07 22:10:18 -08:00

efficientnet_builder.py

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efficientnet.py

Bug in last mod for features_only default_cfg

2020-12-03 12:33:01 -08:00

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.

2020-12-28 16:59:15 -08:00

features.py

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gluon_resnet.py

fix test_model_default_cfgs

2020-08-11 23:23:57 +09:00

gluon_xception.py

Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.

2021-02-09 16:22:52 -08:00

helpers.py

Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.

2021-02-09 16:22:52 -08:00

hrnet.py

Bug in last mod for features_only default_cfg

2020-12-03 12:33:01 -08:00

inception_resnet_v2.py

Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.

2021-02-09 16:22:52 -08:00

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.

2020-11-30 16:19:52 -08:00

inception_v4.py

Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.

2021-02-09 16:22:52 -08:00

mobilenetv3.py

Bug in last mod for features_only default_cfg

2020-12-03 12:33:01 -08:00

nasnet.py

Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.

2021-02-09 16:22:52 -08:00

nfnet.py

Fix NF-ResNet101 model defs

2021-01-30 23:26:19 -08:00

pnasnet.py

Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.

2021-02-09 16:22:52 -08:00

registry.py

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regnet.py

Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.

2020-09-24 18:20:36 -07:00

res2net.py

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resnest.py

fix test_model_default_cfgs

2020-08-11 23:23:57 +09:00

resnet.py

Fix some half removed resnet model defs, pooling for ecaresnet269d

2021-02-07 22:09:25 -08:00

resnetv2.py

Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.

2021-01-27 22:06:57 -08:00

rexnet.py

Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.

2021-01-27 22:06:57 -08:00

selecsls.py

fix test_model_default_cfgs

2020-08-11 23:23:57 +09:00

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

2020-09-01 16:05:32 -07:00

sknet.py

fix test_model_default_cfgs

2020-08-11 23:23:57 +09:00

tresnet.py

Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'

2020-09-02 09:11:48 -07:00

vision_transformer.py

Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.

2021-01-27 22:06:57 -08:00

vovnet.py

Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.

2020-09-24 18:20:36 -07:00

xception_aligned.py

Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.

2021-02-09 16:22:52 -08:00

xception.py

More uniform treatment of classifiers across all models, reduce code duplication.

2020-08-03 22:18:24 -07:00