3e45db4853
Update README.md
2023-03-31 12:24:10 -07:00
7326470514
Merge pull request #1746 from huggingface/eva02
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Adding EVA02 weights and model defs
2023-03-31 12:17:00 -07:00
adeb9de7c6
Mismatch in eva pretrained_cfg vs model for one of the clip variants
2023-03-31 10:30:30 -07:00
85f6cb6637
Update README
2023-03-31 08:42:51 -07:00
067c7281e2
Another test filter adjustment
2023-03-31 08:33:26 -07:00
3825812f1a
Update test filtering for enormoous
2023-03-31 00:04:56 -07:00
0737bd3ec8
eva02 non-CLIP weights on HF hub, add initial eva02 clip model configs w/ postnorm variant & attn LN
2023-03-30 23:43:59 -07:00
ac67098147
Add final attr for fast_attn on beit / eva
2023-03-28 08:40:40 -07:00
1885bdc431
Merge pull request #1745 from huggingface/mw-mlp_mixer
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MLP-Mixer multi-weight support, HF hub push
2023-03-28 07:55:17 -07:00
2362f79062
Merge pull request #1748 from huggingface/mw-deit
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Multi-weight and HF hub for deit / deit3
2023-03-28 07:54:58 -07:00
a84abe6656
Add eva02 to non-std test models
2023-03-27 22:56:52 -07:00
e9f427b953
Add hf hub entries for mlp_mixer
2023-03-27 22:50:43 -07:00
cff81deb78
multi-weight and hf hub for deit / deit3
2023-03-27 22:47:16 -07:00
3863d63516
Adding EVA02 weights and model defs, move beit based eva_giant to same eva.py file. Cleanup rotary pos, add lang oriented freq bands to be compat with eva design choice. Fix #1738
2023-03-27 17:16:07 -07:00
b12060996c
MLP-Mixer multi-weight support, hf hub push
2023-03-27 16:42:13 -07:00
56b90317cd
Change torchrun args to use _ instead of -, - is the new format, but looks like _ still works for backward compat with old versions. Fix #1742
2023-03-26 20:23:55 -07:00
d196fa536d
Fix last min torchscript regression in nfnet changes
2023-03-24 00:10:17 -07:00
33ada0cbca
Add group_matcher to focalnet for proper layer-wise LR decay
2023-03-23 23:21:49 -07:00
b271dc0e16
NFNet multi-weight support + HF hub push
2023-03-23 23:20:38 -07:00
a089bfba2d
Version 0.8.17dev0
2023-03-22 15:40:23 -07:00
9e327c9932
Update README
2023-03-22 15:40:10 -07:00
dbd33e4b62
Update crop settings for new rexnet weights
2023-03-22 15:39:49 -07:00
da6bdd4560
Update resnetv2.py for multi-weight and HF hub weights
2023-03-22 15:38:04 -07:00
b3e816d6d7
Improve filtering behaviour for tag + non-tagged model wildcard consistency.
2023-03-22 10:21:22 -07:00
7aba64ebdb
Add update byobnet.py w/ models pushed to HF hub
2023-03-22 10:00:00 -07:00
e7ef8335bf
regnet.py multi-weight conversion, new ImageNet-12k pretrain/ft from timm for y_120 and y_160, also new tv v2, swag, & seer weights for push to Hf hub.
2023-03-21 15:51:49 -07:00
c78319adce
Add ImageNet-12k ReXNet-R 200 & 300 weights, and push existing ReXNet models to HF hub. Dilation support added to rexnet
2023-03-20 13:48:17 -07:00
8db20dc240
Fix #1726 , dropout not used in NormMlpClassifierHead. Make dropout more consistent across both classifier heads (nn.Dropout)
2023-03-20 09:37:05 -07:00
041de79f9e
Fix numel use in helpers for checkpoint remap
2023-03-20 09:36:48 -07:00
2054f11c6f
Switch to torchrun as old launcher changed arg names in 2.0.. Fix #1728
2023-03-20 08:15:40 -07:00
49b9c3be80
Include pretrained tag in deprecated mapping warning
2023-03-19 21:21:19 -07:00
0d5c5c39fc
Merge pull request #1628 from huggingface/focalnet_and_swin_refactor
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Add FocalNet arch, refactor Swin V1/V2 for better feature extraction and HF hub multi-weight support
2023-03-18 20:09:36 -07:00
fafac3317c
Version 0.8.16dev0
2023-03-18 15:09:20 -07:00
3448cc689c
Use gather (fancy indexing) for valid labels instead of bool mask in validate.py
2023-03-18 15:08:19 -07:00
9fcfb8bcc1
Add Microsoft FocalNet specific ('ms') ImageNet-22k classifier layout
2023-03-18 14:57:34 -07:00
572f05096a
Swin and FocalNet weights on HF hub. Add model deprecation functionality w/ some registry tweaks.
2023-03-18 14:55:09 -07:00
2fc5ac3d18
Exclude the large models from default_cfgs, failing github CI
2023-03-16 14:51:20 -07:00
5aebad3fbc
return_map back to out_map for _feature helpers
2023-03-16 14:50:55 -07:00
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
c30a160d3e
Merge remote-tracking branch 'origin/main' into focalnet_and_swin_refactor
2023-03-15 15:58:39 -07:00
cd3ee78387
Merge pull request #1715 from huggingface/convnext_shortcut
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Add support to ConvNextBlock for downsample and ch expansion. Fix #1699
2023-03-13 15:27:03 -07:00
ad94d737b7
Add support to ConvNextBlock for downsample and channel expansion to improve stand alone use. Fix #1699
2023-03-13 14:06:24 -07:00
aa8c0708df
Merge pull request #1714 from SWHL/main
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Fix typo
2023-03-11 13:29:14 -10:00
43e6143bef
Fix #1712 broken support for AMP w/ PyTorch < 1.10. Disable loss scaler for bfloat16
2023-03-11 15:26:09 -08:00
3a636eee71
Fix #1713 missed assignement in 3-aug level fn, fix few other minor lint complaints in auto_augment.py
2023-03-11 14:32:23 -08:00
82cb47bcf3
Merge pull request #1708 from pkluska/chore/mvitv2-coreml-exportable
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chore: Modify the MobileVitV2Block to be coreml exportable
2023-03-11 11:52:20 -10:00
7c6523edd0
Fix typo
2023-03-09 10:42:54 +08:00
992bf7c3d4
chore: Modify the MobileVitV2Block to be coreml exportable
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based on is_exportable() set variable controlling behaviour of the block
CoreMLTools support im2col from 6.2 version, unfortunately col2im
is still not supported.
Tested with exporting to ONNX, Torchscript, CoreML, and TVM.
2023-03-03 09:38:24 +01:00
4b8cfa6c0a
Add convnext_xxlarge CLIP image tower weights, version 0.8.15dev0
2023-02-26 21:51:48 -08:00
80a0bb216c
Merge pull request #1696 from huggingface/convnext_xxlarge_eps
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Add default norm_eps=1e-5 for convnext_xxlarge, improve kwarg merging for all convnext models
2023-02-26 13:39:20 -08:00
Ross Wightman
Ross Wightman
SWHL
Piotr Sebastian Kluska