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
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
8a54d2a930
WIP Hiera implementation. Fix #2083 . Trying to get image size adaptation to work.
2024-04-20 09:47:17 -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
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
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
34b41b143c
Fiddling with efficientnet x/h defs, is it worth adding & training any?
2024-03-22 17:55:02 -07:00
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
59cb0be595
SwinV2: add configurable act_layer argument
...
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
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
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
88889de923
Fix meshgrid deprecation warnings and backward compat with explicit 'ndgrid' and 'meshgrid' fn w/o indexing arg
2024-01-27 13:48:33 -08:00
d4386219c6
Improve type handling for arange & rel pos embeds, keep calculations in float32 until application (may change to apply in float32 in future). Prevent arange type hijacking by DeepSpeed Zero
2024-01-26 16:35:51 -08:00
3234daf783
Add missing deprecation mapping for a densenet and xcit model. Fix #2086 . Tweak xcit pos embed use of arange for better low prec safety.
2024-01-24 22:04:04 -08:00
53a4888328
Add droppath and type hint to Xception.
2024-01-19 11:15:47 -08:00
9dbea3bef6
fix cls head in hgnet
2023-12-27 21:26:26 +08:00
56ae8b906d
fix reset head in hgnet
2023-12-27 20:11:29 +08:00
6862c9850a
fix backward in hgnet
2023-12-27 16:49:37 +08:00
6cd28bc5c2
Merge branch 'huggingface:main' into master
2023-12-27 16:43:37 +08:00
f2fdd97e9f
Add parsable json results output for train.py, tweak --pretrained-path to force head adaptation
2023-12-22 11:18:25 -08:00
e0079c92da
Update eva.py ( #2058 )
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* Update eva.py
When argument class token = False, self.cls_token = None.
Prevents error from attempting trunc_normal_ on None:
AttributeError: 'NoneType' object has no attribute 'uniform_'
* Update eva.py
fix
2023-12-16 15:10:45 -08:00
7da34a999a
add type annotations in the code of swin_transformer_v2
2023-12-15 09:31:25 -08:00
bbe798317f
Update EdgeNeXt to use ClassifierHead as per ConvNeXt ( #2051 )
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* Update edgenext.py
2023-12-11 12:17:19 -08:00
60b170b200
Add --pretrained-path arg to train script to allow passing local checkpoint as pretrained. Add missing/unexpected keys log.
2023-12-11 12:10:29 -08:00
2597ce2860
Update davit.py
2023-12-11 11:13:04 -08:00
2bd043ce5d
fix doc position
2023-12-05 12:00:51 -08:00
4f2e1bf4cb
Add missing docs in SwinTransformerStage
2023-12-05 12:00:51 -08:00
cd8d9d9ff3
Add missing hf hub entries for mvitv2
2023-11-26 21:06:39 -08:00
b996c1a0f5
A few more missed hf hub entries
2023-11-23 21:48:14 -08:00
89ec91aece
Add missing hf_hub entry for mobilnetv3_rw
2023-11-23 12:44:59 -08:00
63ee54853c
fixed intermediate output indices
2023-11-22 16:32:41 -08:00
fa06f6c481
Merge branch 'seefun-efficientvit'
2023-11-21 14:06:27 -08:00
c6b0c98963
Upload weights to hub, tweak crop_pct, comment out SAM EfficientViTs for now (v2 weights comming)
2023-11-21 14:05:04 -08:00
ada145b016
Literal use w/ python < 3.8 requires typing_extension, cach instead of check sys ver
2023-11-21 09:48:03 -08:00
dfaab97d20
More consistency in model arg/kwarg merge handling
2023-11-21 09:48:03 -08:00
3775e4984f
Merge branch 'efficientvit' of github.com:seefun/pytorch-image-models into seefun-efficientvit
2023-11-20 16:21:38 -08:00
dfb8658100
Fix a few missed model deprecations and one missed pretrained cfg
2023-11-20 12:41:49 -08:00
a604011935
Add support for passing model args via hf hub config
2023-11-19 15:16:01 -08:00
c9d093a58e
update norm eps for efficientvit large
2023-11-18 17:46:47 +08:00
21647c0a0c
Add types to vision_transformers.py
2023-11-17 16:06:06 -08:00
87ba43a9bc
add efficientvit large series
2023-11-17 13:58:46 +08:00
7c685a4ef3
Fix openai quickgelu loading and add mnissing orig_in21k vit weights and remove zero'd classifier w/ matching hub update
2023-11-16 19:16:28 -08:00
ef72c3cd47
Add warnings for duplicate registry names
2023-11-08 10:18:59 -08:00
d3e83a190f
Add in12k fine-tuned convnext_xxlarge
2023-11-03 14:35:01 -07:00
dcfdba1f5f
Make quickgelu models appear in listing
2023-11-03 11:01:41 -07:00
96bd162ddb
Add cc-by-nc-4.0 license for metaclip, make note in quickgelu model def about pretrained_cfg mapping
2023-11-03 11:01:41 -07:00
6894ec7edc
Forgot about datcomp b32 models
2023-11-03 11:01:41 -07:00
a2e4a4c148
Add quickgelu vit clip variants, simplify get_norm_layer and allow string args in vit norm/act. Add metaclip CLIP weights
2023-11-03 11:01:41 -07:00
c55bc41a42
DFN CLIP ViT support
2023-10-31 12:16:21 -07:00
d5f1525334
include suggestions from review
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Co-Authored-By: Ross Wightman <rwightman@gmail.com>
2023-10-30 13:47:54 -07:00
5f14bdd564
include typing suggestions by @rwightman
2023-10-30 13:47:54 -07:00
05b0aaca51
improvement: add typehints and docs to timm/models/resnet.py
2023-10-30 13:47:54 -07:00
c2fe0a2268
improvement: add typehints and docs to timm/models/mobilenetv3.py
2023-10-30 13:47:54 -07:00
d023154bb5
Update swin_transformer.py
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make `SwimTransformer`'s `patch_embed` customizable through the constructor
2023-10-30 13:47:14 -07:00
68a121402f
Added hub weights for dinov2 register models
2023-10-29 23:03:48 -07:00
3f02392488
Add DINOv2 models with register tokens. Convert pos embed to non-overlapping for consistency.
2023-10-29 23:03:48 -07:00
97450d618a
Update DINOv2 license to Apache 2.0
2023-10-27 09:12:51 -07:00
7a6369156f
avoid getting undefined
2023-10-22 21:36:23 -07:00
8556462a18
fix doc typo in resnetv2
2023-10-20 11:56:50 -07:00
462fb3ec9f
Push new repvit weights to hub, tweak tag names
2023-10-20 11:49:29 -07:00
5309424d5e
Merge branch 'main' of https://github.com/jameslahm/pytorch-image-models into jameslahm-main
2023-10-20 11:08:12 -07:00
d3ebdcfd93
Disable strict load when siglip vit pooling removed
2023-10-19 12:03:40 -07:00
e728f3efdb
Cleanup ijepa models, they're just gap (global-avg-pool) models w/o heads. fc-norm conversion was wrong, gigantic should have been giant
2023-10-17 15:44:46 -07:00
49a459e8f1
Merge remote-tracking branch 'upstream/main' into vit_siglip_and_reg
2023-10-17 09:36:48 -07:00
59b622233b
Change ijepa names, add pretrain cfg for reg experimentts
2023-10-17 07:16:17 -07:00
71365165a2
Add SigLIP weights
2023-10-16 23:26:08 -07:00
42daa3b497
Add full set of SigLIP models
2023-10-10 22:15:45 -07:00
4aa166de9c
Add hgnet ssld weights
2023-10-09 19:14:10 +08:00
159e91605c
Add PP-HGNet and PP-HGNetv2 models
2023-10-09 19:04:58 +08:00
884ef88818
fix all SDPA dropouts
2023-10-05 08:58:41 -07:00
b500cae4c5
fastvit: don't dropout in eval
2023-10-05 08:58:41 -07:00
b9dde58076
Fixup attention pooling in siglip vit support
2023-10-02 11:44:12 -07:00
f061b539d7
Update RepViT models
2023-10-01 14:00:53 +08:00
99cfd6702f
Use global pool arg to select attention pooling in head
2023-09-30 16:16:21 -07:00
82cc53237e
Working on support for siglip (w/ attn pool) vit backbone, and adding registers (reg tokens)
2023-09-30 16:03:01 -07:00
Ross Wightman
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Laureηt
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