Ross Wightman ce69de70d3 Add 21k weight urls to vision_transformer. Cleanup feature_info for preact ResNetV2 (BiT) models

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

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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.

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

pruned

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__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.

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

cspnet.py

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densenet.py

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dla.py

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dpn.py

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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

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

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

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gluon_xception.py

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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.

2020-12-28 16:59:15 -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

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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

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mobilenetv3.py

Bug in last mod for features_only default_cfg

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

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.

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

pnasnet.py

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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

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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.

2020-12-18 21:28:47 -08:00

resnetv2.py

Add 21k weight urls to vision_transformer. Cleanup feature_info for preact ResNetV2 (BiT) models

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

rexnet.py

Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.

2020-10-13 13:33:44 -07:00

selecsls.py

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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

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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

Add 21k weight urls to vision_transformer. Cleanup feature_info for preact ResNetV2 (BiT) models

2020-12-28 16:59:15 -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

Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.

2020-10-13 13:33:44 -07:00

xception.py

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