Ryan
bda46f8e6f
Add num_classes assertion after reset_classifier
2025-01-21 11:52:05 -08:00
Ross Wightman
cc7fd34015
test filter tweaks
2024-12-30 19:24:21 -08:00
Ross Wightman
1bf84b35c3
Update tests for aimv2 filtering
2024-12-30 19:24:21 -08:00
Ross Wightman
0903d98162
Reduce tolerance on model inference 'owl' test, pillow output varies a lot, was failing locally
2024-11-26 15:10:15 -08:00
Ross Wightman
95907e69c2
Further reduce atol for model comparison, move python 3.11 + torch 2.2 -> python 3.12 + torch 2.4.1
2024-10-02 10:05:27 -07:00
Ross Wightman
fde6719403
relax tolerance on inference test
2024-10-02 09:53:17 -07:00
Ross Wightman
0e27f302a0
Do full inference test against test vectors for test_* models
2024-10-02 09:39:26 -07:00
Ross Wightman
0b05122cda
Fixing hieradet (sam2) tests
2024-08-16 14:33:40 -07:00
Ross Wightman
f920119f3b
Fixing tests
2024-07-09 14:53:20 -07:00
Daniel Suess
197c10463b
Fix jit.script breaking with features_fx
2024-06-28 03:58:51 +00:00
Ross Wightman
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
Ross Wightman
5756a81c55
Merge remote-tracking branch 'origin/Beckschen-vitamin' into fastvit_mobileclip
2024-06-05 15:20:54 -07:00
Ross Wightman
0e77c95ed7
Add vitamin to non-std testing models
2024-06-05 00:20:00 -07:00
Ross Wightman
ce637771dc
Add fastvit to forward_intermediates test
2024-05-30 10:18:24 -07:00
Ross Wightman
2ca45a4ff5
Merge remote-tracking branch 'upstream/main' into hiera
2024-05-11 15:43:05 -07:00
Ross Wightman
45b7ae8029
forward_intermediates() support for byob/byoanet models
2024-05-04 14:06:52 -07:00
Ross Wightman
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
Ross Wightman
d6da4fb01e
Add forward_intermediates() to efficientnet / mobilenetv3 based models as an exercise.
2024-05-02 14:19:16 -07:00
Ross Wightman
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
Ross Wightman
63970e4e61
Update tests for volo/cait/xcit forward_intermediates
2024-04-29 17:19:11 -07:00
Ross Wightman
e8b08a4e7b
Disable jit test for Hiera, fair bit of work to fix.
2024-04-22 10:39:30 -07:00
Ross Wightman
ef147fd2fb
Add forward_intermediates API to Hiera for features_only=True support
2024-04-21 11:30:41 -07:00
Ross Wightman
fe3cf542fa
Fix / improve tests for features
2024-04-10 21:14:02 -07:00
Ross Wightman
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
Alex Cunha
e628ed7e67
device agnostic testing
2023-11-16 20:27:59 -08:00
方曦
0198a2019e
tinyvit skip ci test
2023-09-01 11:05:56 -07:00
Ross Wightman
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
方曦
00f670fa69
fix bug in ci for efficientvits
2023-08-17 14:40:17 +08:00
Chengpeng Chen
d1d0193615
Add RepGhost models and weights
2023-08-16 11:54:53 +08:00
方曦
15de561f2c
fix unit test for samvit
2023-05-17 12:51:12 +08:00
Ross Wightman
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
Ross Wightman
067c7281e2
Another test filter adjustment
2023-03-31 08:33:26 -07:00
Ross Wightman
3825812f1a
Update test filtering for enormoous
2023-03-31 00:04:56 -07:00
Ross Wightman
a84abe6656
Add eva02 to non-std test models
2023-03-27 22:56:52 -07:00
Ross Wightman
b3e816d6d7
Improve filtering behaviour for tag + non-tagged model wildcard consistency.
2023-03-22 10:21:22 -07:00
Ross Wightman
2fc5ac3d18
Exclude the large models from default_cfgs, failing github CI
2023-03-16 14:51:20 -07:00
Ross Wightman
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
Benjamin Bossan
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
Ross Wightman
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
Fredo Guan
fb717056da
Merge remote-tracking branch 'upstream/main'
2023-01-26 10:49:15 -08:00
Ross Wightman
9983ed7721
xlarge maxvit killing the tests
2023-01-20 16:16:20 -08:00
Ross Wightman
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
Fredo Guan
e58a884c1c
Merge remote-tracking branch 'upstream/main'
2023-01-15 14:37:52 -08:00
Fredo Guan
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
Ross Wightman
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
Ross Wightman
35fb00c779
Add flexivit to non-std tests list
2022-12-22 21:32:31 -08:00
Fredo Guan
84178fca60
Merge branch 'rwightman:main' into main
2022-12-12 23:13:58 -08:00
Fredo Guan
c43340ddd4
Davit std ( #5 )
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clean up
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2022-12-11 03:03:22 -08:00
Ross Wightman
d5e7d6b27e
Merge remote-tracking branch 'origin/main' into refactor-imports
2022-12-09 14:49:44 -08:00
Fredo Guan
edea013dd1
Davit std ( #3 )
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Davit with all features working
2022-12-09 02:53:21 -08:00
