3f320a9e57
Merge branch 'Add-GhostNetV2' of github.com:yehuitang/pytorch-image-models into yehuitang-Add-GhostNetV2
2023-08-19 22:07:54 -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
69e0ca2e36
Weights on hf hub, bicubic yields slightly better eval
2023-08-19 16:25:45 -07:00
b8011565bd
Merge pull request #1894 from seefun/master
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add two different EfficientViT models
2023-08-19 09:24:14 -07:00
7d7589e8da
Fixing efficient_vit torchscript, fx, default_cfg issues
2023-08-18 23:23:11 -07:00
58ea1c02c4
Add fixed_input_size flag to msra efficient_vit
2023-08-18 16:48:17 -07:00
c28324a150
Update efficient_vit (msra), hf hub weights
2023-08-18 16:45:37 -07:00
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
00f670fa69
fix bug in ci for efficientvits
2023-08-17 14:40:17 +08:00
e7f97cb5ce
Fix typos RepGhost models
2023-08-16 14:27:45 +08:00
d1d0193615
Add RepGhost models and weights
2023-08-16 11:54:53 +08:00
7938f28542
Fix typo in efficientformer_v2
2023-08-16 03:29:01 +09:00
b407794e3a
Add GhostNetV2
2023-08-13 18:20:27 +08:00
fc865282e5
Add ghostnetv2.py
2023-08-13 18:16:26 +08:00
da75cdd212
Merge pull request #1900 from huggingface/swin_maxvit_resize
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Add support for resizing swin transformer, maxvit, coatnet at creation time
2023-08-11 15:05:28 -07:00
78a04a0e7d
Merge pull request #1911 from dsuess/1910-fixes-batchnormact-fx
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Register norm_act layers as leaf modules
2023-08-11 14:34:16 -07:00
2048f6f20f
set self.num_features to neck_chans if neck_chans > 0
2023-08-11 13:45:06 +09:00
3a44e6c602
Fix #1912 CoaT model not loading w/ return_interm_layers
2023-08-10 11:15:58 -07:00
986de90360
Register orm_act layers as leaf modules
2023-08-10 15:37:26 +10:00
c692715388
Some RepVit tweaks
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* add head dropout to RepVit as all models have that arg
* default train to non-distilled head output via distilled_training flag (set_distilled_training) so fine-tune works by default w/o distillation script
* camel case naming tweaks to match other models
2023-08-09 12:41:12 -07:00
c153cd4a3e
Add more advanced interpolation method from BEiT and support non-square window & image size adaptation for
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* beit/beit-v2
* maxxvit/coatnet
* swin transformer
And non-square windows for swin-v2
2023-08-08 16:41:16 -07:00
bb2b6b5f09
fix num_classes not found
2023-08-07 15:16:03 +08:00
1dab536cb1
Fix torch.fx for swin padding change
2023-08-05 13:09:55 -07:00
7c0f492dbb
Fix type annotation for torchscript
2023-08-04 23:03:52 -07:00
7790ea709b
Add support for resizing swin transformer img_size and window_size on init and load from pretrained weights. Add support for non-square window_size to both swin v1/v2
2023-08-04 22:10:46 -07:00
81089b10a2
Remove unecessary LongTensor in EfficientFormer. Possibly maybe fix #1878
2023-08-03 16:38:53 -07:00
4224529ebe
Version 0.9.5 prep for release. README update
2023-08-03 15:16:46 -07:00
d138a9bf88
Add gluon hrnet small weights, fix #1895
2023-08-03 12:15:04 -07:00
76d166981d
Fix missing norm call in Mlp forward (not used by default, but can be enabled for normformer MLP scale). Fix #1851 fix #1852
2023-08-03 11:36:30 -07:00
8e4480e4b6
Patch and pos embed resample done in float32 always (cast to float and back). Fix #1811
2023-08-03 11:32:17 -07:00
150356c493
Fix unfortunate selecsls case bug caused by aggressive IDE rename
2023-08-03 10:37:06 -07:00
6e8c53d0d3
Comment out beit url, no longer valid as now require long query string, leave for reference, must use HF hub now.
2023-08-03 10:00:46 -07:00
a56e2bbf19
fix efficientvit_msra pretrained load
2023-08-03 18:44:38 +08:00
e94c60b546
efficientvit_msra refactor
2023-08-03 17:45:50 +08:00
047bab6ab2
efficientvit_mit stage refactor
2023-08-03 14:59:35 +08:00
e8fb866ccf
fix efficientvit_msra pool
2023-08-02 14:40:01 +08:00
43443f64eb
fix efficientvits
2023-08-02 14:12:37 +08:00
82d1e99e1a
add efficientvit(msra)
2023-08-01 18:51:08 +08:00
b91a77fab7
add EfficientVit (MIT)
2023-08-01 12:42:21 +08:00
40a518c194
use float in resample_abs_pos_embed_nhwc
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since F.interpolate doesn't always support BFloat16
2023-07-28 16:01:42 -07:00
8cb0ddac45
Update README, version 0.9.4dev0
2023-07-27 17:07:31 -07:00
a9d0615f42
Fix ijepa vit issue with 448 model, minor formatting fixes
2023-07-26 20:46:27 -07:00
942726db31
import lion in __init__.py
2023-07-27 09:26:57 +08:00
5874d1bfc7
Merge pull request #1876 from jameslahm/main
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Add RepViT models
2023-07-26 14:38:41 -07:00
b10310cc27
Add proper pool size for new resnexts
2023-07-26 14:36:03 -07:00
b71d60cdb7
Two small fixes, num_classes in base class, add model tag
2023-07-26 13:18:49 -07:00
3561f8e885
Add seresnextaa201d_32x8d 12k and 1k weights
2023-07-26 13:17:05 -07:00
3318e7614d
Add RepViT models
2023-07-21 14:56:53 +08:00
158bf129c4
Replace deprecated NumPy aliases of builtin types
2023-07-03 22:24:25 +03:00
c241081251
Merge pull request #1850 from huggingface/effnet_improve_features_only
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Support other features only modes for EfficientNet. Fix #1848 fix #1849
2023-06-23 22:56:08 -07:00
47517dbefd
Clean more feature extract issues
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* 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
a09c88ed0f
Support other features only modes for EfficientNet
2023-06-14 12:57:39 -07:00
c3f24a5ae5
‘add ViT weight from I-JEPA pretrain’
2023-06-14 22:30:31 +08:00
2d597b126d
Missed extra nadam algo step for capturable path
2023-06-13 20:51:31 -07:00
4790c0fa16
Missed nadamw.py
2023-06-13 20:45:58 -07:00
dab0360e00
Add NadamW based on mlcommons algorithm, added multi-tensor step
2023-06-13 20:45:17 -07:00
700aebcdc4
Fix Pytorch 2.0 breakage for Lookahead optimizer adapter
2023-06-02 08:39:07 -07:00
c308dbc6f2
update dinov2 layerscale init values
2023-05-24 12:20:17 -04:00
7cea88e2c4
Pop eps for lion optimizer
2023-05-21 15:20:03 -07:00
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
c1c6eeb909
fix loading pretrained weight for samvit
2023-05-18 08:49:29 +08:00
15de561f2c
fix unit test for samvit
2023-05-17 12:51:12 +08:00
ea1f52df3e
add ViT for Segment-Anything Model
2023-05-17 11:39:29 +08:00
960202cfcc
Dev version 0.9.3 for main
2023-05-16 11:28:00 -07:00
c5d3ee47f3
Add B/16 datacompxl CLIP weights
2023-05-16 11:27:20 -07:00
3d05c0e86f
Version 0.9.2
2023-05-14 08:03:04 -07:00
fc77e9ecc5
Update hub.py
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fixed import of _hub modules
2023-05-12 21:48:46 +02:00
cc77096350
Version 0.9.1
2023-05-12 09:47:47 -07:00
f744bda994
use torch.jit.Final instead of Final for beit, eva
2023-05-12 09:12:14 -07:00
2e99bcaedd
Update README, prep for version 0.9.0 release
2023-05-11 15:22:50 -07:00
3eaf729f3f
F.sdpa for visformer fails w/o contiguous on qkv, make experimental
2023-05-11 11:37:37 -07:00
cf1884bfeb
Add 21k maxvit tf weights
2023-05-10 18:23:32 -07:00
6c2edf4d74
Missed hub_id entries for byoanet models
2023-05-10 15:58:55 -07:00
cf101b0097
Version 0.8.23dev0 and README update
2023-05-10 14:41:22 -07:00
850ab4931f
Missed a few pretrained tags...
2023-05-10 12:16:30 -07:00
ff2464e2a0
Throw when pretrained weights not available and pretrained=True (principle of least surprise).
2023-05-10 10:44:34 -07:00
8ce9a2c00a
Merge pull request #1222 from Leoooo333/master
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Fix mixup/one_hot device problem
2023-05-10 08:59:15 -07:00
fd592ec86c
Fix an issue with FastCollateMixup still using device
2023-05-10 08:55:38 -07:00
e0ec0f7252
Merge pull request #1643 from nateraw/docstrings-update
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Update Docstring for create_model
2023-05-09 21:33:20 -07:00
627b6315ba
Add typing to dinov2 entrypt fns, use hf hub for mae & dinov2 weights
2023-05-09 20:42:11 -07:00
b9d43c7dca
Version 0.8.22dev0
2023-05-09 20:38:10 -07:00
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
a01d8f86f4
Tweak DinoV2 add, add MAE ViT weights, add initial intermediate layer getter experiment
2023-05-09 17:59:22 -07:00
59bea4c306
Merge branch 'main' into dot_nine_cleanup
2023-05-09 12:27:32 -07:00
5cc87e6485
Add dinov2 pretrained models ( #1797 )
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* 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
e3363a7159
Support bitsandbytes optimizers in factory
2023-05-09 11:33:51 -07:00
21e57c0b9e
Add missing beitv2 in1k -> in1k models
2023-05-08 17:03:51 -07:00
8c6fccb879
Allow passing state_dict directly via pretrained cfg mechanism as an override
2023-05-08 15:15:44 -07:00
af48246a9a
Add SwiGLUPacked to layers __init__
2023-05-08 13:52:34 -07:00
3fdb31de2e
Small SwiGLU tweak, remove default LN arg in unpacked variant, add packed alias for GluMLP
2023-05-08 12:28:00 -07:00
e4e43190ce
Add typing to all model entrypoint fns, add old cache check env var to builder
2023-05-08 08:52:38 -07:00
cb3f9c23bb
Metaformer baselines for vision (final PR with cleanup) ( #1793 )
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* update
* Update metaformers.py
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* merge with poolformer, initial version
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* Revert "Update metaformers.py"
This reverts commit 2916f37f8d1d882eb4942209d0830e32bede4e274ed934e0003f0b0753672fef9006d7b7696a30a741fe5c3626a3aee37c35f938beb81b10bde717e539274bd45ea2329ab8ec53b8ce5b8aab6225b94102fcc30eaa366aae930426a8e481a5a913f5d438https://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
320bf9c469
Remove redundant types, kwargs back in own section (lesser of many evils?)
2023-05-01 14:21:48 -07:00
8fa86a28a8
Add datacomp L/14 (79.2 zs) image tower weights
2023-05-01 10:24:08 -07:00
5e64777804
0.8.21dev0
2023-04-28 13:46:59 -07:00
493c730ffc
Fix pit regression
2023-04-26 23:16:06 -07:00
437d344e03
Always some torchscript issues
2023-04-26 20:42:34 -07:00
528faa0e04
Some fixes
2023-04-26 17:46:20 -07:00
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
c0560cbf22
version 0.8.20dev0
2023-04-21 16:57:32 -07:00
Ross Wightman
Ross Wightman
方曦
Chengpeng Chen
Minseo Kang
yehuitang
Yonghye Kwon
Daniel Suess
alec.tu
Sepehr Sameni
jameslahm
Ruslan Baikulov
SeeFun
Lengyue
Philip Keller