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Aman Arora 560eae38f5 [WIP] Add ResNet-RS models (#554) ... * Add ResNet-RS models * Only include resnet-rs changes * remove whitespace diff * EOF newline * Update time * increase time * Add first conv * Try running only resnetv2_101x1_bitm on Linux runner * Add to exclude filter * Run test_model_forward_features for all * Add to exclude ftrs * back to defaults * only run test_forward_features * run all tests * Run all tests * Add bigger resnetrs to model filters to fix Github CLI * Remove resnetv2_101x1_bitm from exclude feat features * Remove hardcoded values * Make sure reduction ratio in resnetrs is 0.25 * There is no bias in replaced maxpool so remove it		4 years ago
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layers	Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing.	4 years ago
pruned	…
__init__.py	…
byoanet.py	Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing.	4 years ago
byobnet.py	…
coat.py	…
cspnet.py	…
densenet.py	…
dla.py	…
dpn.py	…
efficientnet.py	…
efficientnet_blocks.py	…
efficientnet_builder.py	…
factory.py	…
features.py	…
ghostnet.py	…
gluon_resnet.py	…
gluon_xception.py	…
hardcorenas.py	…
helpers.py	…
hrnet.py	…
hub.py	…
inception_resnet_v2.py	…
inception_v3.py	…
inception_v4.py	…
mobilenetv3.py	…
nasnet.py	…
nfnet.py	…
pit.py	…
pnasnet.py	…
registry.py	…
regnet.py	…
res2net.py	…
resnest.py	…
resnet.py	[WIP] Add ResNet-RS models (#554)	4 years ago
resnetv2.py	…
rexnet.py	…
selecsls.py	…
senet.py	…
sknet.py	…
swin_transformer.py	…
tnt.py	…
tresnet.py	…
vgg.py	…
vision_transformer.py	…
vision_transformer_hybrid.py	…
vovnet.py	…
xception.py	…
xception_aligned.py	…