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947 Commits

Author SHA1 Message Date
Ross Wightman
c28324a150 Update efficient_vit (msra), hf hub weights 2023-08-18 16:45:37 -07:00
Ross Wightman
e700a32626 Cleanup of efficient_vit (mit), tweak eps for better AMP behaviour, formatting/cleanup, weights on hf hub 2023-08-18 16:06:07 -07:00
方曦
00f670fa69 fix bug in ci for efficientvits 2023-08-17 14:40:17 +08:00
方曦
a56e2bbf19 fix efficientvit_msra pretrained load 2023-08-03 18:44:38 +08:00
方曦
e94c60b546 efficientvit_msra refactor 2023-08-03 17:45:50 +08:00
方曦
047bab6ab2 efficientvit_mit stage refactor 2023-08-03 14:59:35 +08:00
方曦
e8fb866ccf fix efficientvit_msra pool 2023-08-02 14:40:01 +08:00
方曦
43443f64eb fix efficientvits 2023-08-02 14:12:37 +08:00
方曦
82d1e99e1a add efficientvit(msra) 2023-08-01 18:51:08 +08:00
方曦
b91a77fab7 add EfficientVit (MIT) 2023-08-01 12:42:21 +08:00
Ross Wightman
a9d0615f42 Fix ijepa vit issue with 448 model, minor formatting fixes 2023-07-26 20:46:27 -07:00
Ross Wightman
5874d1bfc7
Merge pull request #1876 from jameslahm/main 
Add RepViT models
 2023-07-26 14:38:41 -07:00
Ross Wightman
b10310cc27 Add proper pool size for new resnexts 2023-07-26 14:36:03 -07:00
Ross Wightman
b71d60cdb7 Two small fixes, num_classes in base class, add model tag 2023-07-26 13:18:49 -07:00
Ross Wightman
3561f8e885 Add seresnextaa201d_32x8d 12k and 1k weights 2023-07-26 13:17:05 -07:00
jameslahm
3318e7614d Add RepViT models 2023-07-21 14:56:53 +08:00
Ruslan Baikulov
158bf129c4 Replace deprecated NumPy aliases of builtin types 2023-07-03 22:24:25 +03:00
Ross Wightman
c241081251
Merge pull request #1850 from huggingface/effnet_improve_features_only 
Support other features only modes for EfficientNet. Fix #1848 fix #1849
 2023-06-23 22:56:08 -07:00
Ross Wightman
47517dbefd Clean more feature extract issues 
* EfficientNet/MobileNetV3/HRNetFeatures cls and FX mode support -ve index
* MobileNetV3 allows feature_cfg mode to bypass MobileNetV3Features
 2023-06-14 14:46:22 -07:00
Ross Wightman
a09c88ed0f Support other features only modes for EfficientNet 2023-06-14 12:57:39 -07:00
SeeFun
c3f24a5ae5
‘add ViT weight from I-JEPA pretrain’ 2023-06-14 22:30:31 +08:00
Lengyue
c308dbc6f2
update dinov2 layerscale init values 2023-05-24 12:20:17 -04:00
Ross Wightman
e9373b1b92 Cleanup before samvit merge. Resize abs posembed on the fly, undo some line-wraps, remove redundant unbind, fix HF hub weight load 2023-05-18 16:43:48 -07:00
方曦
c1c6eeb909 fix loading pretrained weight for samvit 2023-05-18 08:49:29 +08:00
方曦
15de561f2c fix unit test for samvit 2023-05-17 12:51:12 +08:00
方曦
ea1f52df3e add ViT for Segment-Anything Model 2023-05-17 11:39:29 +08:00
Ross Wightman
c5d3ee47f3 Add B/16 datacompxl CLIP weights 2023-05-16 11:27:20 -07:00
Philip Keller
fc77e9ecc5
Update hub.py 
fixed import of _hub modules
 2023-05-12 21:48:46 +02:00
Ross Wightman
f744bda994 use torch.jit.Final instead of Final for beit, eva 2023-05-12 09:12:14 -07:00
Ross Wightman
2e99bcaedd Update README, prep for version 0.9.0 release 2023-05-11 15:22:50 -07:00
Ross Wightman
3eaf729f3f F.sdpa for visformer fails w/o contiguous on qkv, make experimental 2023-05-11 11:37:37 -07:00
Ross Wightman
cf1884bfeb Add 21k maxvit tf weights 2023-05-10 18:23:32 -07:00
Ross Wightman
6c2edf4d74 Missed hub_id entries for byoanet models 2023-05-10 15:58:55 -07:00
Ross Wightman
850ab4931f Missed a few pretrained tags... 2023-05-10 12:16:30 -07:00
Ross Wightman
ff2464e2a0 Throw when pretrained weights not available and pretrained=True (principle of least surprise). 2023-05-10 10:44:34 -07:00
Ross Wightman
e0ec0f7252
Merge pull request #1643 from nateraw/docstrings-update 
Update Docstring for create_model
 2023-05-09 21:33:20 -07:00
Ross Wightman
627b6315ba Add typing to dinov2 entrypt fns, use hf hub for mae & dinov2 weights 2023-05-09 20:42:11 -07:00
Ross Wightman
960a882510 Remove label offsets and remove old weight url for 1001 class (background + in1k) TF origin weights 2023-05-09 18:00:41 -07:00
Ross Wightman
a01d8f86f4 Tweak DinoV2 add, add MAE ViT weights, add initial intermediate layer getter experiment 2023-05-09 17:59:22 -07:00
Ross Wightman
59bea4c306 Merge branch 'main' into dot_nine_cleanup 2023-05-09 12:27:32 -07:00
Leng Yue
5cc87e6485
Add dinov2 pretrained models (#1797) 
* add dinov2 small, base, and large

* fix input size

* fix swiglu & dinov2 vit giant

* use SwiGLUPacked to replace GluMlp

* clean up & add ffn_layer placeholder for ParallelScalingBlock
 2023-05-09 12:24:47 -07:00
Ross Wightman
21e57c0b9e Add missing beitv2 in1k -> in1k models 2023-05-08 17:03:51 -07:00
Ross Wightman
8c6fccb879 Allow passing state_dict directly via pretrained cfg mechanism as an override 2023-05-08 15:15:44 -07:00
Ross Wightman
e4e43190ce Add typing to all model entrypoint fns, add old cache check env var to builder 2023-05-08 08:52:38 -07:00
Ross Wightman
cb3f9c23bb
Metaformer baselines for vision (final PR with cleanup) (#1793) 
* update

* Update metaformers.py

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* merge with poolformer, initial version

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* Revert "Update metaformers.py"

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This reverts commit 2fef9006d72824789b733dd8dbc20b21b79add0b.

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* rename model

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* Stem/Downsample rework

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* try NHWC

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commit b7696a30a772dbbb2e00d81e7096c24dac97df73
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Fri Feb 10 01:46:44 2023 -0800

    Update metaformers.py

commit 41fe5c36263b40a6cd7caddb85b10c5d82d48023
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Fri Feb 10 01:03:47 2023 -0800

    Update metaformers.py

commit a3aee37c35985c01ca07902d860f809b648c612c
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Fri Feb 10 00:32:04 2023 -0800

    Update metaformers.py

commit f938beb81b4f46851d6d6f04ae7a9a74871ee40d
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Fri Feb 10 00:24:58 2023 -0800

    Update metaformers.py

commit 10bde717e51c95cdf20135c8bba77a7a1b00d78c
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Sun Feb 5 02:11:28 2023 -0800

    Update metaformers.py

commit 39274bd45e78b8ead0509367f800121f0d7c25f4
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Sun Feb 5 02:06:58 2023 -0800

    Update metaformers.py

commit a2329ab8ec00d0ebc00979690293c3887cc44a4c
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Sun Feb 5 02:03:34 2023 -0800

    Update metaformers.py

commit 53b8ce5b8a6b6d828de61788bcc2e6043ebb3081
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Sun Feb 5 02:02:37 2023 -0800

    Update metaformers.py

commit ab6225b9414f534815958036f6d5a392038d7ab2
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Sun Feb 5 01:04:55 2023 -0800

    try NHWC

commit 02fcc30eaa67a3c92cae56f3062b2542c32c9283
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Sat Feb 4 23:47:06 2023 -0800

    Update metaformers.py

commit 366aae93047934bd3d7d37a077e713d424fa429c
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Sat Feb 4 23:37:30 2023 -0800

    Stem/Downsample rework

commit 26a8e481a5cb2a32004a796bc25c6800cd2fb7b7
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Wed Feb 1 07:42:07 2023 -0800

    Update metaformers.py

commit a913f5d4384aa4b2f62fdab46254ae3772df00ee
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Wed Feb 1 07:41:24 2023 -0800

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* channels first for whole network

* Channels first

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* Use buffer for randformer

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* Remove einsum

* don't test randformer for feature extraction

* arbitrary input sizes for randformer

* Squashed commit of the following:

commit 6c089ca4325ab10942fe56e0999dcc1a11e1d2f0
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Mon Mar 6 02:11:17 2023 -0800

    Update metaformers.py

commit 521528a900e49ef8f462f5ccd795efb3a5d14214
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Mon Mar 6 02:06:08 2023 -0800

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commit 3827eec7963698ff727fbb13ace53594ceb374d5
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Mon Mar 6 02:03:08 2023 -0800

    Update metaformers.py

commit ac1c6fea8adcd846e031ea0f5fa81ffe63d3c4bb
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Mon Mar 6 02:01:04 2023 -0800

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commit 26f3d343cdc46183543f83482187f669f3181ddf
Merge: d577129 f736730
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Mon Mar 6 01:57:29 2023 -0800

    Merge branch 'metaformer_workspace' of https://github.com/fffffgggg54/pytorch-image-models into metaformer_workspace

commit d577129aaa23fb348a8bb93bcd17cf1d5a4e8ff8
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Mon Mar 6 01:57:20 2023 -0800

    Update metaformers.py

commit f7367304e8f3b7a9a7f16e0a032bb72546afcc2a
Author: Fredo Guan <fredo.guan@hotmail.com>
Date:   Mon Mar 6 01:56:11 2023 -0800

    Metaformer baselines for vision (#12)

* formatting, cleanup, fix dropout

* fix regression, pass kwargs

* fix poolformerv1 weights, formatting

* Update metaformers.py

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* some cleanup

* SDPA from ViT, fix imports

* Update metaformers.py

* fix head reset

* fast norm bias patch for metaformers

* Metaformer refactor, remove rand/ident models, fix issues, remove old poolformer

* Switch to hub weights

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Co-authored-by: Fredo Guan <fredo.guan@hotmail.com>
 2023-05-05 11:18:26 -07:00
Ross Wightman
320bf9c469 Remove redundant types, kwargs back in own section (lesser of many evils?) 2023-05-01 14:21:48 -07:00
Ross Wightman
8fa86a28a8 Add datacomp L/14 (79.2 zs) image tower weights 2023-05-01 10:24:08 -07:00
Ross Wightman
5e64777804 0.8.21dev0 2023-04-28 13:46:59 -07:00
Ross Wightman
493c730ffc Fix pit regression 2023-04-26 23:16:06 -07:00
Ross Wightman
437d344e03 Always some torchscript issues 2023-04-26 20:42:34 -07:00