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layers
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A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper.
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2020-11-30 16:19:52 -08:00 |
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pruned
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__init__.py
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Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
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2020-10-13 13:33:44 -07:00 |
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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 |
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densenet.py
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More uniform treatment of classifiers across all models, reduce code duplication.
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2020-08-03 22:18:24 -07:00 |
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dla.py
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More uniform treatment of classifiers across all models, reduce code duplication.
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2020-08-03 22:18:24 -07:00 |
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dpn.py
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Remove some old __future__ imports
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2021-01-03 11:24:16 -08:00 |
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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 |
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efficientnet_blocks.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 |
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efficientnet_builder.py
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factory.py
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Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool
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2020-09-02 16:13:47 -07:00 |
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features.py
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gluon_resnet.py
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fix test_model_default_cfgs
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2020-08-11 23:23:57 +09:00 |
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gluon_xception.py
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More uniform treatment of classifiers across all models, reduce code duplication.
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2020-08-03 22:18:24 -07:00 |
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helpers.py
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Add default_cfg back to models wrapped in feature extraction module as per discussion in #294.
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2020-12-03 10:24:35 -08:00 |
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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 |
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inception_resnet_v2.py
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More uniform treatment of classifiers across all models, reduce code duplication.
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2020-08-03 22:18:24 -07:00 |
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inception_v3.py
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A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper.
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2020-11-30 16:19:52 -08:00 |
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inception_v4.py
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More uniform treatment of classifiers across all models, reduce code duplication.
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2020-08-03 22:18:24 -07:00 |
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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 |
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nasnet.py
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More uniform treatment of classifiers across all models, reduce code duplication.
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2020-08-03 22:18:24 -07:00 |
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pnasnet.py
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More uniform treatment of classifiers across all models, reduce code duplication.
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2020-08-03 22:18:24 -07:00 |
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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 |
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res2net.py
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…
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resnest.py
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fix test_model_default_cfgs
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2020-08-11 23:23:57 +09:00 |
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resnet.py
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Add pool_size to default cfgs for new models to prevent tests from failing. Add explicit 200D_320 model entrypoint for next benchmark run.
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2020-12-18 21:28:47 -08:00 |
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rexnet.py
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Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
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2020-10-13 13:33:44 -07:00 |
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selecsls.py
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fix test_model_default_cfgs
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2020-08-11 23:23:57 +09:00 |
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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 |
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sknet.py
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fix test_model_default_cfgs
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2020-08-11 23:23:57 +09:00 |
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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 |
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vision_transformer.py
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Add newly added vision transformer large/base 224x224 weights ported from JAX official repo
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2020-10-29 17:31:01 -07:00 |
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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 |
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xception.py
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More uniform treatment of classifiers across all models, reduce code duplication.
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2020-08-03 22:18:24 -07:00 |
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xception_aligned.py
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Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
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2020-10-13 13:33:44 -07:00 |
0167f749d3