b2c0aeb0ec
Merge branch 'main' of https://github.com/Beckschen/pytorch-image-models into Beckschen-vitamin
2024-06-02 14:16:30 -07:00
5dce710101
Add vit_little in12k + in12k-ft-in1k weights
2024-05-27 14:56:03 -07:00
3c0283f9ef
Fix reparameterize for NextViT. Fix #2187
2024-05-27 14:48:58 -07:00
e748805be3
Add regex matching support to AttentionExtract. Add return_dict support to graph extractors and use returned output in AttentionExtractor
2024-05-22 14:33:39 -07:00
44f72c04b3
Change node/module name matching for AttentionExtract so it keeps outputs in order. #1232
2024-05-22 13:45:25 -07:00
84cb225ecb
Add in12k + 12k_ft_in1k vit_medium weights
2024-05-20 15:52:46 -07:00
4634c3e134
Version 1.0.4.dev0
2024-05-20 15:52:27 -07:00
7a2ad6bce1
Add link to model weights on Hugging Face
2024-05-17 06:51:35 -04:00
530fb49e7e
Add link to model weights on Hugging Face
2024-05-17 06:48:59 -04:00
9b11801cb4
Credit earlier work with the same idea.
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Hi, this earlier work has the same name and idea behind this layer. It could be useful for readers to keep both links here if they want to see the effects of introducing this layer on a very different domain. 😄
2024-05-16 22:50:34 +02:00
cb0e4391be
Release 1.0.3
2024-05-15 11:06:22 -07:00
27fd2f35d3
Merge pull request #2181 from huggingface/Delaunay-dist-backend
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Delaunay dist backend flag
2024-05-15 10:00:59 -07:00
e57625e814
Tweak dist_backend to use device_type (before possible :)
2024-05-15 08:49:25 -07:00
6ca92570f7
Merge branch 'patch-1' of https://github.com/Delaunay/pytorch-image-models into Delaunay-dist-backend
2024-05-15 08:40:58 -07:00
cd0e7b11ff
Merge pull request #2180 from yvonwin/main
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Remove a duplicate function in mobilenetv3.py
2024-05-15 07:54:17 -07:00
83aee5c28c
Add explicit GAP (avg pool) variants of other SigLIP models.
2024-05-15 07:53:19 -07:00
58f2f79b04
Remove a duplicate function in mobilenetv3.py: `_gen_lcnet` is repeated in mobilenetv3.py.Remove the duplicate code.
2024-05-15 17:59:34 +08:00
7b3b11b63f
Support loading of paligemma weights into GAP variants of SigLIP ViT. Minor tweak to npz loading for packed transformer weights.
2024-05-14 15:44:37 -07:00
df304ffbf2
the dataclass init needs to use the default factory pattern, according to Ross
2024-05-14 15:10:05 -04:00
cc5f2f6f70
version 1.0.2dev0
2024-05-13 15:25:15 -07:00
3bfd036b58
Add normalize flag to transforms factory, allow return of non-normalized native dtype torch.Tensors
2024-05-13 15:23:25 -07:00
a69863ad61
Merge pull request #2156 from huggingface/hiera
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WIP Hiera implementation.
2024-05-13 14:58:12 -07:00
8848dad362
Update distributed.py
2024-05-13 16:55:42 -04:00
f7aa0a1a71
Add missing vit_wee weight
2024-05-13 12:05:47 -07:00
7a4e987b9f
Hiera weights on hub
2024-05-13 11:43:22 -07:00
c838c4233f
Add typing to reset_classifier() on other models
2024-05-12 11:12:00 -07:00
3e03b2bf3f
Fix a few more hiera API issues
2024-05-12 11:11:45 -07:00
211d18d8ac
Move norm & pool into Hiera ClassifierHead. Misc fixes, update features_intermediate() naming
2024-05-11 23:37:35 -07:00
2ca45a4ff5
Merge remote-tracking branch 'upstream/main' into hiera
2024-05-11 15:43:05 -07:00
1d3ab176bc
Remove debug / staging code
2024-05-10 22:16:34 -07:00
aa4d06a11c
sbb vit weights on hub, testing
2024-05-10 17:15:01 -07:00
3582ca499e
Prepping weight push, benchmarking.
2024-05-10 14:14:06 -07:00
2bfa5e5d74
Remove JIT activations, take jit out of ME activations. Remove other instances of torch.jit.script. Breaks torch.compile and is much less performant. Remove SpaceToDepthModule
2024-05-06 16:32:49 -07:00
99d4c7d202
add ViTamin models
2024-05-05 02:50:14 -04:00
07535f408a
Add AttentionExtract helper module
2024-05-04 14:10:00 -07:00
45b7ae8029
forward_intermediates() support for byob/byoanet models
2024-05-04 14:06:52 -07:00
c4b8897e9e
attention -> attn in davit for model consistency
2024-05-04 14:06:11 -07:00
cb57a96862
Fix early stop for efficientnet/mobilenetv3 fwd inter. Fix indices typing for all fwd inter.
2024-05-04 10:21:58 -07:00
01dd01b70e
forward_intermediates() for MlpMixer models and RegNet.
2024-05-04 10:21:03 -07:00
f8979d4f50
Comment out time local files while testing new vit weights
2024-05-03 20:26:56 -07:00
c719f7eb86
More forward_intermediates() updates
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* add convnext, resnet, efficientformer, levit support
* remove kwargs only for fn so that torchscript isn't broken for all :(
* use reset_classifier() consistently in prune
2024-05-03 16:22:32 -07:00
301d0bb21f
Stricter check on pool_type for adaptive pooling module. Fix #2159
2024-05-03 16:16:51 -07:00
d6da4fb01e
Add forward_intermediates() to efficientnet / mobilenetv3 based models as an exercise.
2024-05-02 14:19:16 -07:00
c22efb9765
Add wee & little vits for some experiments
2024-05-02 10:51:35 -07:00
67332fce24
Add features_intermediate() support to coatnet, maxvit, swin* models. Refine feature interface. Start prep of new vit weights.
2024-04-30 16:56:33 -07:00
740f4983b3
Assert messages added
2024-04-30 10:10:02 +03:00
c6db4043cd
Update forward_intermediates for hiera to have its own fwd impl w/ early stopping. Remove return_intermediates bool from forward(). Still an fx issue with None mask arg :(
2024-04-29 17:23:37 -07:00
9b9a356a04
Add forward_intermediates support for xcit, cait, and volo.
2024-04-29 16:30:45 -07:00
ef147fd2fb
Add forward_intermediates API to Hiera for features_only=True support
2024-04-21 11:30:41 -07:00
d88bed6535
Bit more Hiera fiddling
2024-04-21 09:36:57 -07:00
Ross Wightman
Beckschen
Fernando Cossio
Ross Wightman
yvonwin
Setepenre
user-miner1