7c4ed4d5a4
Add EVA-large models
2022-12-08 16:21:30 -08:00
6a92587e0d
Update README.md
2022-12-07 09:34:21 -08:00
98047ef5e3
Add EVA FT results, hopefully fix BEiT test failures
2022-12-07 08:54:06 -08:00
3cc4d7a894
Fix missing register for 224 eva model
2022-12-07 08:54:06 -08:00
eba07b0de7
Add eva models to beit.py
2022-12-07 08:54:06 -08:00
da6644b6ba
Update README.md
2022-12-05 10:21:34 -08:00
61531f091e
Update multi-weight release README
2022-12-05 10:21:34 -08:00
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
f82239b30e
multi-weight branch version -> 0.8.0dev
2022-12-05 10:21:34 -08:00
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
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
dbe7531aa3
Update scripts to support torch.compile(). Make --results_file arg more consistent across benchmark/validate/inference. Fix #1570
2022-12-05 10:21:34 -08:00
05637a4bb0
More inference script changes, arg naming, multiple output fmts at once
2022-12-05 10:21:34 -08:00
eceeb9409a
Significant ugprade to inference.py, support for different formats, formatting, etc.
2022-12-05 10:21:34 -08:00
4d5c395160
MaxVit, ViT, ConvNeXt, and EfficientNet-v2 updates
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* 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
3db4e346e0
Switch TFDS dataset to use INTEGER_ACCURATE jpeg decode by default
2022-12-05 10:21:34 -08:00
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
8fca002c06
Add ImageNet22k and 12k subset sysnet/index maps
2022-12-05 10:21:34 -08:00
b2b6285af7
Add two more FT clip weights
2022-12-05 10:21:34 -08:00
5895056dc4
Add openai b32 ft
2022-12-05 10:21:34 -08:00
9dea5143d5
Adding more clip ft variants
2022-12-05 10:21:34 -08:00
444dcba4ad
CLIP B16 12k weights added
2022-12-05 10:21:34 -08:00
dff4717cbf
Add clip b16 384x384 finetunes
2022-12-05 10:21:34 -08:00
883fa2eeaa
Add fine-tuned B/16 224x224 in1k clip models
2022-12-05 10:21:34 -08:00
9a3d2ac2d5
Add latest CLIP ViT fine-tune pretrained configs / model entrypt updates
2022-12-05 10:21:34 -08:00
42bbbddee9
Add missing model config
2022-12-05 10:21:34 -08:00
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
0dadb4a6e9
Initial multi-weight support, handled so old pretraing config handling co-exists with new tags.
2022-12-05 10:21:34 -08:00
e8ddc6865c
Update torch to 1.13 and python to 3.10 in test workflow ( #1562 )
...
* Update torch and python version in test workflow
* Python back to 3.9 for test workflow, see if that's the cause of macos failure..
* Try windows runner
* Try Python 3.10 + macOS-12 in quest for working second target
* Remove macOS from tests, not working anymore
2022-11-26 19:46:55 -08:00
98c5e78226
Merge pull request #1564 from HongxinXiang/main
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Fix compatible BUG: QMNIST and ImageNet datasets do not exist in torc…
2022-11-24 21:33:19 -08:00
653bdc7105
Fix comment: https://github.com/rwightman/pytorch-image-models/pull/1564#issuecomment-1326743424
2022-11-25 09:52:52 +08:00
bdc9fad638
Fix compatible BUG: QMNIST and ImageNet datasets do not exist in torchvision 0.10.1.
2022-11-24 14:37:44 +08:00
25ffac6880
Merge pull request #1547 from Wauplin/1546-fix-hf-hub-integration
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Create repo before cloning with Repository.clone_from
2022-11-16 09:19:56 -08:00
9b114754db
refactor push_to_hub helper
2022-11-16 12:03:34 +01:00
ae0a0db7de
Create repo before cloning with Repository.clone_from
2022-11-15 15:17:20 +01:00
8ff45e41f7
Fix xdist dependency change
2022-11-08 15:41:10 -08:00
4714a4910e
Merge pull request #1525 from TianyiFranklinWang/main
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✏️ fix typo
2022-11-03 20:55:43 -07:00
f856f8a2e0
Merge pull request #1527 from klae01/patch-1
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Update train.py
2022-11-03 20:54:59 -07:00
ddd6361904
Update train.py
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fix typo args.in_chanes
2022-11-01 16:55:05 +09:00
9152b10478
✏️ fix typo
2022-10-30 08:49:40 +08:00
4201c718e9
Merge pull request #1522 from hova88/main
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fix typo : miss back quote
2022-10-27 21:02:35 -07:00
29baf32327
fix typo : miss back quote
2022-10-28 09:30:51 +08:00
803254bb40
Fix spacing misalignment for fast norm path in LayerNorm modules
2022-10-24 21:43:49 -07:00
475ecdfa3d
cast env var args for dataset readers to int
2022-10-17 14:40:11 -07:00
44cea489fb
Merge pull request #1502 from infomon/main
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Fix typo of "sched-on-updates" argument
2022-10-17 14:06:23 -07:00
aceb79e002
Fix typo
2022-10-17 22:06:17 +02:00
8a1ba67a50
Merge pull request #1500 from nguyenhoan1988/main
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Remove inplace operators when calculating the loss
2022-10-17 09:05:04 -07:00
39190f5f44
Remove inplace operators when calculating the loss
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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
91fc4c7ed1
Update tests.yml
2022-10-16 20:51:20 -07:00
26c400bf1e
Merge pull request #1498 from nateraw/docs-deploy-from-main
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Deploy docs from main not master
2022-10-16 20:40:00 -07:00
Ross Wightman
Ross Wightman
hongxin xiang
Wauplin
klae01
NPU-Franklin
hova88
Simon Schrodi
Hoan Nguyen