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
9b9a356a04
Add forward_intermediates support for xcit, cait, and volo.
2024-04-29 16:30:45 -07:00
de15b8b828
Next release will be 1.0 :o
2024-04-11 08:55:27 -07:00
c8da47a773
Update version.py
2024-04-11 08:45:50 -07:00
d6b95520f1
Merge pull request #2136 from huggingface/vit_features_only
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Exploring vit features_only via new forward_intermediates() API, inspired by #2131
2024-04-11 08:38:20 -07:00
24f6d4f7f8
Fix #2127 move to ema device
2024-04-10 21:29:09 -07:00
4b2565e4cb
More forward_intermediates() / FeatureGetterNet work
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* include relpos vit
* refactor reduction / size calcs so hybrid vits work and dynamic_img_size works
* fix -ve feature indices when pruning
* fix mvitv2 w/ class token
* refine naming
* add tests
2024-04-10 15:11:34 -07:00
ef9c6fb846
forward_head(), consistent pre_logits handling to reduce likelihood of people manually replacing .head module having issues
2024-04-09 21:54:59 -07:00
679daef76a
More forward_intermediates() & features_only work
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* forward_intermediates() added to beit, deit, eva, mvitv2, twins, vit, vit_sam
* add features_only to forward intermediates to allow just intermediate features
* fix #2060
* fix #1374
* fix #657
2024-04-09 21:29:16 -07:00
c28ee2e904
Merge pull request #2145 from huggingface/fix_imagenet22k_ms_mapping
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Add teddy-bear class back to first 1000 classes of imagenet22k_ms_synsets (line 851, index 850)
2024-04-09 14:56:31 -07:00
f5ea076a46
Merge pull request #2143 from huggingface/fix_asymm_set_grad_enable
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Fix #2132 , remove use of _C.set_grad_enable. Line endings were messed up too
2024-04-09 10:14:13 -07:00
286d941923
Add teddy-bear class back to first 1000 classes of imagenet22k_ms_synsets (index 851)
2024-04-09 09:33:08 -07:00
5c5ae8d401
Fix #2132 , remove use of _C.set_grad_enable. Line endings were messed up too
2024-04-09 09:00:23 -07:00
17b892f703
Fix #2139 , disable strict weight loading when head changes from classification
2024-04-09 08:41:37 -07:00
5fdc0b4e93
Exploring vit features_only using get_intermediate_layers() as per #2131
2024-04-07 11:24:45 -07:00
b44e4e45a2
more
2024-04-02 10:25:30 +08:00
8880a5cd5c
Update scheduler.py
2024-03-23 11:27:33 +08:00
c559c3911f
Improve vit conversions. OpenAI convert pass through main convert for patch & pos resize. Fix #2120
2024-03-21 10:00:43 -07:00
256cf19148
Rename tinyclip models to fit existing 'clip' variants, use consistently mapped OpenCLIP compatible checkpoint on hf hub
2024-03-20 15:21:46 -07:00
1a1d07d479
add other tinyclip
2024-03-19 07:27:09 +08:00
dfffffac55
add tinyclip 8m
2024-03-19 07:02:17 +08:00
6ccb7d6a7c
Merge pull request #2111 from jamesljlster/enhance_vit_get_intermediate_layers
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Vision Transformer (ViT) get_intermediate_layers: enhanced to support dynamic image size and saved computational costs from unused blocks
2024-03-18 13:41:18 -07:00
db06b56d34
Saved computational costs of get_intermediate_layers() from unused blocks
2024-03-17 21:34:06 +08:00
4731e4efc4
Modified ViT get_intermediate_layers() to support dynamic image size
2024-03-16 23:07:21 +08:00
ba641e07ae
Add support for dynamo based onnx export
2024-03-13 12:05:26 -07:00
59cb0be595
SwinV2: add configurable act_layer argument
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Defaults to "gelu", but makes it possible to pass "gelu_tanh".
Makes it easier to port weights from JAX/Flax, where the tanh
approximation is the default.
2024-03-05 22:04:17 +01:00
49992b0dc7
Update version.py
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Update to 0.9.16 for release
2024-02-19 11:08:17 -08:00
35d6eef0df
Version bump, add test markers back to toml
2024-02-16 09:04:00 -08:00
31e0dc0a5d
Tweak hgnet before merge
2024-02-12 15:00:32 -08:00
3e03491e49
Merge branch 'master' of https://github.com/seefun/pytorch-image-models into seefun-master
2024-02-12 14:59:54 -08:00
958938845a
Update version.py
2024-02-10 23:10:50 -08:00
47c9bc4dc6
Fix device idx split
2024-02-10 21:41:14 -08:00
59239d9df5
Cleanup imports for vit relpos
2024-02-10 21:40:57 -08:00
ac1b08deb6
fix_init on vit & relpos vit
2024-02-10 20:15:37 -08:00
935950cc11
Fix F.sdpa attn drop prob
2024-02-10 20:14:47 -08:00
0737cf231d
Add Next-ViT
2024-02-10 17:05:16 -08:00
d6c2cc91af
Make NormMlpClassifier head reset args consistent with ClassifierHead
2024-02-10 16:25:33 -08:00
87fec3dc14
Update experimental vit model configs
2024-02-10 16:05:58 -08:00
7d3c2dc993
Add group_matcher for DaViT
2024-02-10 14:58:45 -08:00
7bc7798d0e
Type annotation correctness for create_act
2024-02-10 14:57:58 -08:00
7d121ac2ef
Small tweak of timm ToTensor for clarity
2024-02-10 14:57:40 -08:00
a08b57e801
Fix distributed flag bug w/ flex device handling
2024-02-03 16:26:15 -08:00
bee0471f91
forward() pass through for ema model, flag for ema warmup, comment about warmup
2024-02-03 16:24:45 -08:00
Ross Wightman
user-miner1
Ross Wightman
fzyzcjy
fzyzcjy
Thien Tran
Cheng-Ling Lai
SmilingWolf