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pytorch-image-models/timm/models
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Ross Wightman 392595c7eb 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
..
layers
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
pruned
added efficientnet pruned weights
2020-05-03 09:29:45 +03:00
__init__.py
Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
2020-10-13 13:33:44 -07:00
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
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
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
Merge branch 'logger' into features. Change 'logger' to '_logger'.
2020-07-27 18:00:46 -07:00
efficientnet.py
Bug in last mod for features_only default_cfg
2020-12-03 12:33:01 -08:00
factory.py
Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool
2020-09-02 16:13:47 -07:00
features.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
gluon_resnet.py
fix test_model_default_cfgs
2020-08-11 23:23:57 +09:00
gluon_xception.py
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
helpers.py
Add default_cfg back to models wrapped in feature extraction module as per discussion in #294.
2020-12-03 10:24:35 -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
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
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
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
mobilenetv3.py
Bug in last mod for features_only default_cfg
2020-12-03 12:33:01 -08:00
nasnet.py
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
pnasnet.py
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00
registry.py
Fix some attributions, add copyrights to some file docstrings
2020-07-27 13:44:56 -07:00
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
Fix some checkpoint / model str regressions
2020-07-29 19:43:01 -07:00
resnest.py
fix test_model_default_cfgs
2020-08-11 23:23:57 +09:00
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
rexnet.py
Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
2020-10-13 13:33:44 -07:00
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
Add newly added vision transformer large/base 224x224 weights ported from JAX official repo
2020-10-29 17:31:01 -07:00
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
More uniform treatment of classifiers across all models, reduce code duplication.
2020-08-03 22:18:24 -07:00