f920119f3b
Fixing tests
2024-07-09 14:53:20 -07:00
197c10463b
Fix jit.script breaking with features_fx
2024-06-28 03:58:51 +00:00
a5a2ad2e48
Fix consistency, testing for forward_head w/ pre_logits, reset_classifier, models with pre_logits size != unpooled feature size
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* add test that model supports forward_head(x, pre_logits=True)
* add head_hidden_size attr to all models and set differently from num_features attr when head has hidden layers
* test forward_features() feat dim == model.num_features and pre_logits feat dim == self.head_hidden_size
* more consistency in reset_classifier signature, add typing
* asserts in some heads where pooling cannot be disabled
Fix #2194
2024-06-07 13:53:00 -07:00
5756a81c55
Merge remote-tracking branch 'origin/Beckschen-vitamin' into fastvit_mobileclip
2024-06-05 15:20:54 -07:00
0e77c95ed7
Add vitamin to non-std testing models
2024-06-05 00:20:00 -07:00
ce637771dc
Add fastvit to forward_intermediates test
2024-05-30 10:18:24 -07:00
2ca45a4ff5
Merge remote-tracking branch 'upstream/main' into hiera
2024-05-11 15:43:05 -07:00
45b7ae8029
forward_intermediates() support for byob/byoanet models
2024-05-04 14:06:52 -07:00
c719f7eb86
More forward_intermediates() updates
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* add convnext, resnet, efficientformer, levit support
* remove kwargs only for fn so that torchscript isn't broken for all :(
* use reset_classifier() consistently in prune
2024-05-03 16:22:32 -07:00
d6da4fb01e
Add forward_intermediates() to efficientnet / mobilenetv3 based models as an exercise.
2024-05-02 14:19:16 -07:00
67332fce24
Add features_intermediate() support to coatnet, maxvit, swin* models. Refine feature interface. Start prep of new vit weights.
2024-04-30 16:56:33 -07:00
63970e4e61
Update tests for volo/cait/xcit forward_intermediates
2024-04-29 17:19:11 -07:00
e8b08a4e7b
Disable jit test for Hiera, fair bit of work to fix.
2024-04-22 10:39:30 -07:00
ef147fd2fb
Add forward_intermediates API to Hiera for features_only=True support
2024-04-21 11:30:41 -07:00
fe3cf542fa
Fix / improve tests for features
2024-04-10 21:14:02 -07:00
4b2565e4cb
More forward_intermediates() / FeatureGetterNet work
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* include relpos vit
* refactor reduction / size calcs so hybrid vits work and dynamic_img_size works
* fix -ve feature indices when pruning
* fix mvitv2 w/ class token
* refine naming
* add tests
2024-04-10 15:11:34 -07:00
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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clean up
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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
Ross Wightman
Daniel Suess
Alex Cunha
Ross Wightman
方曦
Chengpeng Chen
Benjamin Bossan
Fredo Guan