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layers
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Use in_channels for depthwise groups, allows using `out_channels=N * in_channels` (does not impact existing models). Fix #354.
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2021-02-09 16:22:52 -08:00 |
pruned
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__init__.py
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Add ByobNet w/ GPU-EfficientNets and RepVGG. Also add classic vgg models.
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2021-02-09 16:22:52 -08:00 |
byobnet.py
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Improve RegVGG block identity/vs non for clariy and fix attn usage. Add comments.
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2021-02-10 14:40:29 -08:00 |
cspnet.py
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Add CSPResNet50 weights, 79.6 top-1 at 256x256
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2020-08-12 11:20:11 -07:00 |
densenet.py
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dla.py
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dpn.py
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Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
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2021-02-09 16:22:52 -08:00 |
efficientnet.py
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Bug in last mod for features_only default_cfg
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2020-12-03 12:33:01 -08:00 |
efficientnet_blocks.py
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Move stride in EdgeResidual block to 3x3 expansion conv. Fix #414
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2021-02-07 22:10:18 -08:00 |
efficientnet_builder.py
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factory.py
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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.
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2020-12-28 16:59:15 -08:00 |
features.py
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gluon_resnet.py
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gluon_xception.py
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Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
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2021-02-09 16:22:52 -08:00 |
helpers.py
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Default to native PyTorch AMP instead of APEX amp. Too many APEX issues cropping up lately.
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2021-02-10 14:31:18 -08:00 |
hrnet.py
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Bug in last mod for features_only default_cfg
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2020-12-03 12:33:01 -08:00 |
inception_resnet_v2.py
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Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
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2021-02-09 16:22:52 -08:00 |
inception_v3.py
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Fix a few small things.
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2021-02-09 17:33:43 -08:00 |
inception_v4.py
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Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
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2021-02-09 16:22:52 -08:00 |
mobilenetv3.py
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Bug in last mod for features_only default_cfg
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2020-12-03 12:33:01 -08:00 |
nasnet.py
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Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
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2021-02-09 16:22:52 -08:00 |
nfnet.py
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Add ByobNet w/ GPU-EfficientNets and RepVGG. Also add classic vgg models.
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2021-02-09 16:22:52 -08:00 |
pnasnet.py
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Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
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2021-02-09 16:22:52 -08:00 |
registry.py
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regnet.py
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Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.
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2020-09-24 18:20:36 -07:00 |
res2net.py
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resnest.py
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resnet.py
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Fix some half removed resnet model defs, pooling for ecaresnet269d
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2021-02-07 22:09:25 -08:00 |
resnetv2.py
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Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
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2021-01-27 22:06:57 -08:00 |
rexnet.py
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Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
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2021-01-27 22:06:57 -08:00 |
selecsls.py
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senet.py
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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
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2020-09-01 16:05:32 -07:00 |
sknet.py
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tresnet.py
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Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'
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2020-09-02 09:11:48 -07:00 |
vgg.py
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Add ByobNet w/ GPU-EfficientNets and RepVGG. Also add classic vgg models.
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2021-02-09 16:22:52 -08:00 |
vision_transformer.py
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Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.
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2021-01-27 22:06:57 -08:00 |
vovnet.py
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Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.
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2020-09-24 18:20:36 -07:00 |
xception.py
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xception_aligned.py
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Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
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2021-02-09 16:22:52 -08:00 |