1161 Commits

Author SHA1 Message Date
Ross Wightman
7c846d9970 Better vmap compat across recent torch versions 2022-12-24 14:37:04 -08:00
Ross Wightman
4e24f75289
Merge pull request #1593 from rwightman/multi-weight_effnet_convnext
Update efficientnet.py and convnext.py to multi-weight, add new 12k pretrained weights
2022-12-23 10:09:08 -08:00
Ross Wightman
8ece53e194 Switch BEiT to HF hub weights 2022-12-22 21:43:04 -08:00
Ross Wightman
d1bfa9a000 Support HF datasets and TFSD w/ a sub-path by fixing split, fix #1598 ... add class mapping support to HF datasets in case class label isn't in info. 2022-12-22 21:34:13 -08:00
Ross Wightman
e2fc43bc63 Version 0.8.2dev0 2022-12-22 17:34:09 -08:00
Ross Wightman
9a51e4ea2e Add FlexiViT models and weights, refactoring, push more weights
* push all vision_transformer*.py weights to HF hub
* finalize more pretrained tags for pushed weights
* refactor pos_embed files and module locations, move some pos embed modules to layers
* tweak hf hub helpers to aid bulk uploading and updating
2022-12-22 17:23:09 -08:00
Fredo Guan
10b3f696b4
Davit std (#6)
Separate patch_embed module
2022-12-16 21:50:28 -08:00
Ross Wightman
656e1776de Convert mobilenetv3 to multi-weight, tweak PretrainedCfg metadata 2022-12-16 09:29:13 -08:00
Fredo Guan
546590c5f5
Merge branch 'rwightman:main' into main 2022-12-14 23:44:15 -08:00
Ross Wightman
6a01101905 Update efficientnet.py and convnext.py to multi-weight, add ImageNet-12k pretrained EfficientNet-B5 and ConvNeXt-Nano. 2022-12-14 20:33:23 -08:00
alec.tu
74d6afb4cd Add Adan to __init__.py 2022-12-15 11:37:29 +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
e7da205345 Fix aa min_max level clamp 2022-12-10 16:43:28 -08:00
Ross Wightman
e3b2f5be0a Add 3-Augment support to auto_augment.py, clean up weighted choice handling, and allow adjust per op prob via arg string 2022-12-10 16:25:50 -08:00
Ross Wightman
d5e7d6b27e Merge remote-tracking branch 'origin/main' into refactor-imports 2022-12-09 14:49:44 -08:00
Ross Wightman
cda39b35bd Add a deprecation phase to module re-org 2022-12-09 14:39:45 -08:00
Fredo Guan
edea013dd1
Davit std (#3)
Davit with all features working
2022-12-09 02:53:21 -08:00
Ross Wightman
7c4ed4d5a4 Add EVA-large models 2022-12-08 16:21:30 -08:00
Fredo Guan
434a03937d
Merge branch 'rwightman:main' into main 2022-12-08 08:05:16 -08:00
Ross Wightman
98047ef5e3 Add EVA FT results, hopefully fix BEiT test failures 2022-12-07 08:54:06 -08:00
Ross Wightman
3cc4d7a894 Fix missing register for 224 eva model 2022-12-07 08:54:06 -08:00
Ross Wightman
eba07b0de7 Add eva models to beit.py 2022-12-07 08:54:06 -08:00
Fredo Guan
3bd96609c8
Davit (#1)
Implement the davit model from https://arxiv.org/abs/2204.03645 and https://github.com/dingmyu/davit
2022-12-06 17:19:25 -08:00
Ross Wightman
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
Ross Wightman
3785c234d7 Remove clip vit models that won't be ft and comment two that aren't uploaded yet 2022-12-05 10:21:34 -08:00
Ross Wightman
f82239b30e multi-weight branch version -> 0.8.0dev 2022-12-05 10:21:34 -08:00
Ross Wightman
755570e2d6 Rename _pretrained.py -> pretrained.py, not feasible to change the other files to same scheme without breaking uses 2022-12-05 10:21:34 -08:00
Ross Wightman
72cfa57761 Add ported Tensorflow MaxVit weights. Add a few more CLIP ViT fine-tunes. Tweak some model tag names. Improve model tag name sorting. Update HF hub push config layout. 2022-12-05 10:21:34 -08:00
Ross Wightman
4d5c395160 MaxVit, ViT, ConvNeXt, and EfficientNet-v2 updates
* Add support for TF weights and modelling specifics to MaxVit (testing ported weights)
* More fine-tuned CLIP ViT configs
* ConvNeXt and MaxVit updated to new pretrained cfgs use
* EfficientNetV2, MaxVit and ConvNeXt high res models use squash crop/resize
2022-12-05 10:21:34 -08:00
Ross Wightman
3db4e346e0 Switch TFDS dataset to use INTEGER_ACCURATE jpeg decode by default 2022-12-05 10:21:34 -08:00
Ross Wightman
9da7e3a799 Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate 2022-12-05 10:21:34 -08:00
Ross Wightman
b2b6285af7 Add two more FT clip weights 2022-12-05 10:21:34 -08:00
Ross Wightman
5895056dc4 Add openai b32 ft 2022-12-05 10:21:34 -08:00
Ross Wightman
9dea5143d5 Adding more clip ft variants 2022-12-05 10:21:34 -08:00
Ross Wightman
444dcba4ad CLIP B16 12k weights added 2022-12-05 10:21:34 -08:00
Ross Wightman
dff4717cbf Add clip b16 384x384 finetunes 2022-12-05 10:21:34 -08:00
Ross Wightman
883fa2eeaa Add fine-tuned B/16 224x224 in1k clip models 2022-12-05 10:21:34 -08:00
Ross Wightman
9a3d2ac2d5 Add latest CLIP ViT fine-tune pretrained configs / model entrypt updates 2022-12-05 10:21:34 -08:00
Ross Wightman
42bbbddee9 Add missing model config 2022-12-05 10:21:34 -08:00
Ross Wightman
def68befa7 Updating vit model defs for mult-weight support trial (vit first). Prepping for CLIP (laion2b and openai) fine-tuned weights. 2022-12-05 10:21:34 -08:00
Ross Wightman
0dadb4a6e9 Initial multi-weight support, handled so old pretraing config handling co-exists with new tags. 2022-12-05 10:21:34 -08:00
hongxin xiang
653bdc7105 Fix comment: https://github.com/rwightman/pytorch-image-models/pull/1564#issuecomment-1326743424 2022-11-25 09:52:52 +08:00
hongxin xiang
bdc9fad638 Fix compatible BUG: QMNIST and ImageNet datasets do not exist in torchvision 0.10.1. 2022-11-24 14:37:44 +08:00
Wauplin
9b114754db refactor push_to_hub helper 2022-11-16 12:03:34 +01:00
Wauplin
ae0a0db7de Create repo before cloning with Repository.clone_from 2022-11-15 15:17:20 +01:00
Ross Wightman
803254bb40 Fix spacing misalignment for fast norm path in LayerNorm modules 2022-10-24 21:43:49 -07:00
Ross Wightman
475ecdfa3d cast env var args for dataset readers to int 2022-10-17 14:40:11 -07:00
Hoan Nguyen
39190f5f44
Remove inplace operators when calculating the loss
Remove inplace operators to overcome the following error when using `asymmetric_loss`
```
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation
```
2022-10-17 10:41:21 +02:00
Ross Wightman
6635bc3f7d
Merge pull request #1479 from rwightman/script_cleanup
Train / val script enhancements, non-GPU (ie CPU) device support, HF datasets support, TFDS/WDS dataloading improvements
2022-10-15 09:29:39 -07:00