a38c2b4475
fix bug
2023-11-16 20:27:59 -08:00
bbf0ab000c
return if cuda not available
2023-11-16 20:27:59 -08:00
e628ed7e67
device agnostic testing
2023-11-16 20:27:59 -08:00
68b2824e49
Update optim test to remove Variable/.data and fix _state_dict optim test for PyTorch 2.1 ( #1988 )
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* Update optim test to remove Variable/.data and fix _state_dict optim test
* Attempt to run python 3.11 w/ 2.1
* Try factoring out testmarker to common var
* More fiddling
* Abandon attempt to reduce redunancy
* Another try
2023-10-12 11:53:10 -07:00
0198a2019e
tinyvit skip ci test
2023-09-01 11:05:56 -07:00
7c2728c6fe
Merge pull request #1919 from ChengpengChen/main
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Add RepGhost models and weights
2023-08-19 16:26:45 -07:00
00f670fa69
fix bug in ci for efficientvits
2023-08-17 14:40:17 +08:00
d1d0193615
Add RepGhost models and weights
2023-08-16 11:54:53 +08:00
15de561f2c
fix unit test for samvit
2023-05-17 12:51:12 +08:00
3386af8c86
Final push to get remaining models using multi-weight pretrained configs, almost all weights on HF hub
2023-04-26 15:52:13 -07:00
067c7281e2
Another test filter adjustment
2023-03-31 08:33:26 -07:00
3825812f1a
Update test filtering for enormoous
2023-03-31 00:04:56 -07:00
a84abe6656
Add eva02 to non-std test models
2023-03-27 22:56:52 -07:00
b3e816d6d7
Improve filtering behaviour for tag + non-tagged model wildcard consistency.
2023-03-22 10:21:22 -07:00
2fc5ac3d18
Exclude the large models from default_cfgs, failing github CI
2023-03-16 14:51:20 -07:00
acfd85ad68
All swin models support spatial output, add output_fmt to v1/v2 and use ClassifierHead.
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* update ClassifierHead to allow different input format
* add output format support to patch embed
* fix some flatten issues for a few conv head models
* add Format enum and helpers for tensor format (layout) choices
2023-03-15 23:21:51 -07:00
10627bbd49
CI: Split CI tests to run them in parallel ( #1691 )
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* Split CI tests to run them in parallel
The idea of this PR is to split tests into multiple sets that can be run
in parallel by GH. For this, all tests in test_models.py that would run
on GH get a pytest marker. The GH workflow matrix is factorized to run
only a single marker. That way, only a subset of tests should run per
worker, leading to quicker results.
There is also a worker that runs all the tests that are not inside
test_models.py.
* [skip ci] empty commit to abort ci
* Fix typo in marker name
* Split fx into forward and backward
* Comment out test coverage for now
Checking if it's responsible for regression in CI runtime.
* Remove pytest cov completely from requirements
* Remove cov call in pyproject.toml
Missed that one.
2023-02-24 12:28:57 -08:00
9a53c3f727
Finalize DaViT, some formatting and modelling simplifications (separate PatchEmbed to Stem + Downsample, weights on HF hub.
2023-01-27 13:54:04 -08:00
fb717056da
Merge remote-tracking branch 'upstream/main'
2023-01-26 10:49:15 -08:00
9983ed7721
xlarge maxvit killing the tests
2023-01-20 16:16:20 -08:00
bed350f5e5
Push all MaxxViT weights to HF hub, cleanup impl, add feature map extraction support and prompote to 'std' architecture. Fix norm head for proper embedding / feat map output. Add new in12k + ft 1k weights.
2023-01-20 14:45:25 -08:00
e58a884c1c
Merge remote-tracking branch 'upstream/main'
2023-01-15 14:37:52 -08:00
81ca323751
Davit update formatting and fix grad checkpointing ( #7 )
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fixed head to gap->norm->fc as per convnext, along with option for norm->gap->fc
failed tests due to clip convnext models, davit tests passed
2023-01-15 14:34:56 -08:00
6e5553da5f
Add ConvNeXt-V2 support (model additions and weights) ( #1614 )
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* Add ConvNeXt-V2 support (model additions and weights)
* ConvNeXt-V2 weights on HF Hub, tweaking some tests
* Update README, fixing convnextv2 tests
2023-01-05 07:53:32 -08:00
35fb00c779
Add flexivit to non-std tests list
2022-12-22 21:32:31 -08:00
84178fca60
Merge branch 'rwightman:main' into main
2022-12-12 23:13:58 -08:00
c43340ddd4
Davit std ( #5 )
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2022-12-11 03:03:22 -08:00
d5e7d6b27e
Merge remote-tracking branch 'origin/main' into refactor-imports
2022-12-09 14:49:44 -08:00
edea013dd1
Davit std ( #3 )
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Davit with all features working
2022-12-09 02:53:21 -08:00
98047ef5e3
Add EVA FT results, hopefully fix BEiT test failures
2022-12-07 08:54:06 -08:00
927f031293
Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models
2022-12-06 15:00:06 -08:00
0dadb4a6e9
Initial multi-weight support, handled so old pretraing config handling co-exists with new tags.
2022-12-05 10:21:34 -08:00
da6f8f5a40
Fix beitv2 tests
2022-09-07 08:09:47 -07:00
cac0a4570a
More test fixes, pool size for 256x256 maxvit models
2022-08-23 13:38:26 -07:00
8c9696c9df
More model and test fixes
2022-08-22 17:40:31 -07:00
f332fc2db7
Fix some test failures, torchscript issues
2022-08-18 16:19:46 -07:00
29afe79c8b
Attempt to fix unit tests by removing subset of tests on mac runner
2022-07-17 14:55:47 -07:00
c0211b0bf7
Swin-V2 test fixes, typo
2022-05-12 22:31:55 -07:00
39b725e1c9
Fix tests for rank-4 output where feature channels dim is -1 (3) and not 1
2022-05-09 15:20:24 -07:00
2fec08e923
Add Sequencer to non std filters
2022-05-06 23:08:10 +09:00
b049a5c5c6
Merge remote-tracking branch 'origin/master' into norm_norm_norm
2022-03-21 13:41:43 -07:00
372ad5fa0d
Significant model refactor and additions:
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* All models updated with revised foward_features / forward_head interface
* Vision transformer and MLP based models consistently output sequence from forward_features (pooling or token selection considered part of 'head')
* WIP param grouping interface to allow consistent grouping of parameters for layer-wise decay across all model types
* Add gradient checkpointing support to a significant % of models, especially popular architectures
* Formatting and interface consistency improvements across models
* layer-wise LR decay impl part of optimizer factory w/ scale support in scheduler
* Poolformer and Volo architectures added
2022-02-28 13:56:23 -08:00
1420c118df
Missed comitting outstanding changes to default_cfg keys and test exclusions for swin v2
2022-02-23 19:50:26 -08:00
5f81d4de23
Move DeiT to own file, vit getting crowded. Working towards fixing #1029 , make pooling interface for transformers and mlp closer to convnets. Still working through some details...
2022-01-26 22:53:57 -08:00
95cfc9b3e8
Merge remote-tracking branch 'origin/master' into norm_norm_norm
2022-01-25 22:20:45 -08:00
abc9ba2544
Transitioning default_cfg -> pretrained_cfg. Improving handling of pretrained_cfg source (HF-Hub, files, timm config, etc). Checkpoint handling tweaks.
2022-01-25 21:54:13 -08:00
010b486590
Add Dino pretrained weights (no head) for vit models. Add support to tests and helpers for models w/ no classifier (num_classes=0 in pretrained cfg)
2022-01-17 12:20:02 -08:00
a8d103e18b
Giant/gigantic vits snuck through in a test a broke GitHub test runner, add filter
2022-01-14 17:23:35 -08:00
ef72ad4177
Extra vit_huge model likely to cause test issue (non in21k variant), adding to filters
2022-01-14 16:28:27 -08:00
e967c72875
Update REAMDE.md. Sneak in g/G (giant / gigantic?) ViT defs from scaling paper
2022-01-14 16:28:27 -08:00
Alex Cunha
Ross Wightman
方曦
Chengpeng Chen
Ross Wightman
Benjamin Bossan
Fredo Guan
okojoalg