a16a753852
Add lamb/lars to optim init imports, remove stray comment
2021-08-18 22:55:02 -07:00
c207e02782
MOAR optimizer changes. Woo!
2021-08-18 22:20:35 -07:00
42c1f0cf6c
Fix lars tests
2021-08-18 21:05:34 -07:00
a426511c95
More optimizer cleanup. Change all to no longer use .data. Improve (b)float16 use with adabelief. Add XLA compatible Lars.
2021-08-18 17:21:56 -07:00
9541f4963b
One more scalar -> tensor fix for lamb optimizer
2021-08-18 11:20:25 -07:00
8f68193c91
Update lamp.py comment
2021-08-18 09:27:40 -07:00
4d284017b8
Merge pull request #813 from rwightman/opt_cleanup
...
Optimizer cleanup and additions
2021-08-18 09:12:00 -07:00
a6af48be64
add madgradw optimizer
2021-08-17 22:19:27 -07:00
55fb5eedf6
Remove experiment from lamb impl
2021-08-17 21:48:26 -07:00
8a9eca5157
A few optimizer comments, dead import, missing import
2021-08-17 18:01:33 -07:00
959eaff121
Add optimizer tests and update testing to pytorch 1.9
2021-08-17 17:59:15 -07:00
ac469b50da
Optimizer improvements, additions, cleanup
...
* Add MADGRAD code
* Fix Lamb (non-fused variant) to work w/ PyTorch XLA
* Tweak optimizer factory args (lr/learning_rate and opt/optimizer_name), may break compat
* Use newer fn signatures for all add,addcdiv, addcmul in optimizers
* Use upcoming PyTorch native Nadam if it's available
* Cleanup lookahead opt
* Add optimizer tests
* Remove novograd.py impl as it was messy, keep nvnovograd
* Make AdamP/SGDP work in channels_last layout
* Add rectified adablief mode (radabelief)
* Support a few more PyTorch optim, adamax, adagrad
2021-08-17 17:51:20 -07:00
368211d19a
Merge pull request #805 from Separius/patch-1
...
Remove duplicate code in create_scheduler
2021-08-15 12:51:43 -07:00
abf3e044bb
Update scheduler_factory.py
...
remove duplicate code from create_scheduler()
2021-08-14 22:53:17 +02:00
3cdaf5ed56
Add `mmax` config key to auto_augment for increasing upper bound of RandAugment magnitude beyond 10. Make AugMix uniform sampling default not override config setting.
2021-08-12 15:39:05 -07:00
1042b8a146
Add non fused LAMB optimizer option
2021-08-09 13:13:43 -07:00
01cb46a9a5
Add gc_efficientnetv2_rw_t weights (global context instead of SE attn). Add TF XL weights even though the fine-tuned ones don't validate that well. Change default arg for GlobalContext to use scal (mul) mode.
2021-08-07 16:45:29 -07:00
bd56946676
Update README.md
2021-07-28 09:00:48 -07:00
d3f7440650
Add EfficientNetV2 XL model defs
2021-07-22 13:15:24 -07:00
ef1e2e12be
Attempt to fix xcit test failures on github runner by filter largest models
2021-07-13 16:33:55 -07:00
72b227dcf5
Merge pull request #750 from drjinying/master
...
Specify "interpolation" mode in vision_transformer's resize_pos_embed
2021-07-13 11:01:20 -07:00
2907c1f967
Merge pull request #746 from samarth4149/master
...
Adding a Multi Step LR Scheduler
2021-07-13 10:55:54 -07:00
5aca7c01e5
Update README.md
2021-07-12 13:33:02 -07:00
763329f23f
Merge branch 'alexander-soare-xcit'
2021-07-12 13:28:15 -07:00
748ab852ca
Allow act_layer switch for xcit, fix in_chans for some variants
2021-07-12 13:27:29 -07:00
20b2d4b69d
Use bicubic interpolation in resize_pos_embed()
2021-07-12 10:38:31 -07:00
d3255adf8e
Merge branch 'xcit' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-xcit
2021-07-12 08:30:30 -07:00
f8039c7492
Fix gc effv2 model cfg name
2021-07-11 12:14:31 -07:00
3a55a30ed1
add notes from author
2021-07-11 14:25:58 +01:00
899cf84ccc
bug fix - missing _dist postfix for many of the 224_dist models
2021-07-11 12:41:51 +01:00
623e8b8eb8
wip xcit
2021-07-11 09:39:38 +01:00
392368e210
Add efficientnetv2_rw_t defs w/ weights, and gc variant, as well as gcresnet26ts for experiments. Version 0.4.13
2021-07-09 16:46:52 -07:00
daab57a6d9
1. Added a simple multi step LR scheduler
2021-07-09 16:18:27 -04:00
6d8272e92c
Add SAM pretrained model defs/weights for ViT B16 and B32 models.
2021-07-08 11:51:12 -07:00
ee4d8fc69a
Remove unecessary line from nest post refactor
2021-07-05 21:22:46 -07:00
c8ec1ffcb9
Merge branch 'alexander-soare-nested_transformer'
2021-07-05 18:22:50 -07:00
8165cacd82
Realized LayerNorm2d won't work in all cases as is, fixed.
2021-07-05 18:21:34 -07:00
81cd6863c8
Move aggregation (convpool) for nest into NestLevel, cleanup and enable features_only use. Finalize weight url.
2021-07-05 18:20:49 -07:00
6ae0ac6420
Merge branch 'nested_transformer' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-nested_transformer
2021-07-03 12:45:26 -07:00
7b8a0017f1
wip to review
2021-07-03 12:10:12 +01:00
b11d949a06
wip checkpoint with some feature extraction work
2021-07-03 11:45:19 +01:00
23bb72ce5e
nested_transformer wip
2021-07-02 20:12:29 +01:00
7919053425
Merge pull request #729 from bryant1410/patch-3
...
Add color highlighting to BibTeX entry in README
2021-07-02 10:25:40 -07:00
49b38a51e3
Add color highlighting to BibTeX entry in README
2021-06-30 14:07:16 -07:00
7096b52a61
Remove sotabench files, no longer working / maintained
2021-06-30 09:25:58 -07:00
d10b071a28
Update results csvs w/ latest ViT, ResMLP, and NfNet-L2 weights present
2021-06-30 09:11:31 -07:00
766b4d3262
Fix features for resnetv2_50t
2021-06-28 15:56:24 -07:00
e8045e712f
Fix BatchNorm for ResNetV2 non GN models, add more ResNetV2 model defs for future experimentation, fix zero_init of last residual for pre-act.
2021-06-28 10:52:45 -07:00
02aaa785b9
Update README.md
2021-06-23 14:08:16 -07:00
7606bdf9e8
Merge pull request #714 from rwightman/vit_and_bit_test_fixes
...
Fix a few issues loading pretrained vit/bit npz weights...
2021-06-23 11:36:55 -07:00
Ross Wightman
Ross Wightman
Sepehr Sameni
Ying Jin
Alexander Soare
samarth
Santiago Castro