55f7dfa9ea
Refactor vision_transformer entrpy fns, add pos embedding resize support for fine tuning, add some deit models for testing
2021-01-18 16:11:02 -08:00
9d5d4b8df6
Fix silly train.py typo during dataset work
2021-01-16 16:32:21 -08:00
d55bcc0fee
Finishing adding stochastic depth support to BiT ResNetV2 models
2021-01-16 16:32:03 -08:00
0a1668f63e
Update tests
2021-01-16 12:37:10 -08:00
58ccf43150
Add BiT references and knowledge distill links to readme/docs
2021-01-16 12:30:02 -08:00
855d6cc217
More dataset work including factories and a tensorflow datasets (TFDS) wrapper
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* Add parser/dataset factory methods for more flexible dataset & parser creation
* Add dataset parser that wraps TFDS image classification datasets
* Tweak num_classes handling bug for 21k models
* Add initial deit models so they can be benchmarked in next csv results runs
2021-01-15 17:26:20 -08:00
20516abc18
Fix some broken tests for ResNetV2 BiT models
2021-01-04 23:21:39 -08:00
fd9061dbf7
Remove debug print from train.py
2021-01-04 12:16:06 -08:00
59ec7e6a53
Merge branch 'master' into imagenet21k_datasets_more
2021-01-04 12:11:05 -08:00
fc3d9183e8
Merge pull request #335 from kecsap/new_option
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Add --input-size option to scripts to specify full input dimensions f…
2021-01-04 10:32:21 -08:00
e7a9ddf982
Merge pull request #334 from kecsap/links
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Follow symbolic links during dataset scanning
2021-01-04 10:30:58 -08:00
19816fe226
Add citation info
2021-01-03 15:46:12 -08:00
e42b140ade
Add --input-size option to scripts to specify full input dimensions from command-line
2021-01-04 00:25:29 +02:00
7cae7e7035
Follow links during dataset scanning
2021-01-04 00:16:45 +02:00
1d01c2b68c
Update README.md
2021-01-03 12:49:31 -08:00
c96e9f99a0
Update version to 0.3.3
2021-01-03 12:43:44 -08:00
a7d0a8b5b2
Update results csv files with latest models, incl 101D, 152D, 200D, SE152D ResNets and yet to be merged BiT and ViT-R50 models.
2021-01-03 12:42:43 -08:00
4e2533db77
Add 320x320 model default cfgs for 101D and 152D ResNets. Add SEResNet-152D weights and 320x320 cfg.
2021-01-03 12:10:25 -08:00
0167f749d3
Remove some old __future__ imports
2021-01-03 11:24:16 -08:00
85bf4b8cd6
Add setup.cfg for conda / fastai integration
2021-01-03 11:22:11 -08:00
e553480b67
Add 21843 synset txt for google 21k models like BiT/ViT
2020-12-28 16:59:15 -08:00
e35e9760a6
More work on dataset / parser split and imagenet21k (tar) support
2020-12-28 16:59:15 -08:00
ce69de70d3
Add 21k weight urls to vision_transformer. Cleanup feature_info for preact ResNetV2 (BiT) models
2020-12-28 16:59:15 -08:00
231d04e91a
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
de6046e213
Initial commit for dataset / parser reorg to support additional datasets / types
2020-12-28 16:59:15 -08:00
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
7a75b8d033
Update README.md
2020-12-18 17:27:57 -08:00
b1f1228a41
Add ResNet101D, 152D, and 200D weights, remove meh 66d model
2020-12-18 17:13:37 -08:00
198f6ea0f3
Merge pull request #302 from Jasha10/create_optimizer-opt_args
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Configure create_optimizer with args.opt_args
2020-12-08 10:19:36 -08:00
7c56c718f3
Configure create_optimizer with args.opt_args
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Closes #301
2020-12-08 00:03:09 -06:00
51d74d91da
Update README.md
2020-12-07 09:59:50 -08:00
9a25fdf3ad
Merge pull request #297 from rwightman/ema_simplify
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Simplified JIT compatible Ema module. Fixes for SiLU export and torchscript training w/ Linear layer.
2020-12-05 11:42:45 -08:00
c9ebe86d03
Merge pull request #300 from tmkkk/real-labels-fix
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Fix a bug with accuracy retrieving from RealLabels
2020-12-04 08:36:38 -08:00
de15b43865
Fix a bug with accuracy retrieving from RealLabels
2020-12-04 16:12:50 +01:00
cd72e66eff
Bug in last mod for features_only default_cfg
2020-12-03 12:33:01 -08:00
867a0e5a04
Add default_cfg back to models wrapped in feature extraction module as per discussion in #294 .
2020-12-03 10:24:35 -08:00
4ca52d73d8
Add separate set and update method to ModelEmaV2
2020-12-03 10:05:09 -08:00
2ed8f24715
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
6504a42832
Version 0.3.2
2020-11-30 13:39:08 -08:00
460eba7f24
Work around casting issue with combination of native torch AMP and torchscript for Linear layers
2020-11-30 13:30:51 -08:00
5f4b6076d8
Fix inplace arg compat for GELU and PreLU via activation factory
2020-11-30 13:27:40 -08:00
fd962c4b4a
Native SiLU (Swish) op doesn't export to ONNX
2020-11-29 21:56:55 -08:00
27bbc70d71
Add back old ModelEma and rename new one to ModelEmaV2 to avoid compat breaks in dependant code. Shuffle train script, add a few comments, remove DataParallel support, support experimental torchscript training.
2020-11-29 16:22:19 -08:00
6f43aeb252
Merge pull request #286 from s-rog/patch-1
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Fix link typo in README
2020-11-24 09:47:15 -08:00
a7f6126b92
Update README.md
2020-11-24 09:02:37 +08:00
9214ca0716
Simplifying EMA...
2020-11-16 12:51:52 -08:00
80cd31f21f
Create config.yml
2020-11-12 20:55:27 -08:00
d940a53cd9
Update issue templates
2020-11-10 12:16:40 -08:00
60c998af22
Update issue templates
2020-11-10 11:39:52 -08:00
9d73911e62
Update issue templates
2020-11-10 11:35:30 -08:00
Ross Wightman
Ross Wightman
Csaba Kertesz
Jasha
Tymoteusz Wiśniewski
Roger Shieh