2cfff0581b
Add grad_checkpointing support to features_only, test in EfficientDet.
2023-02-09 17:45:40 -08:00
45af496197
Version 0.8.11dev0
2023-02-08 08:29:29 -08:00
9c14654a0d
Improve support for custom dataset label name/description through HF hub export, via pretrained_cfg
2023-02-08 08:29:20 -08:00
1e0b347227
Fix README
2023-02-06 23:46:26 -08:00
497be8343c
Update README and version
2023-02-06 23:43:14 -08:00
0d33127df2
Add 384x384 convnext_large_mlp laion2b fine-tune on in1k
2023-02-06 22:01:04 -08:00
88a5b8491d
Merge pull request #1662 from rwightman/dataset_info
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ImageNet metadata (info) and labelling update
2023-02-06 20:23:06 -08:00
7a0bd095cb
Update model prune loader to use pkgutil
2023-02-06 17:45:16 -08:00
0f2803de7a
Move ImageNet metadata (aka info) files to timm/data/_info. Add helper classes to make info available for labelling. Update inference.py for first use.
2023-02-06 17:45:03 -08:00
89b0452171
Add PyTorch 1.13 inference benchmark numbers
2023-02-06 09:09:04 -08:00
7f29a46d44
Add gradient accumulation option to train.py
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option: iters-to-accum(iterations to accmulate)
Gradient accumulation improves training performance(samples/s).
It can reduce the number of parameter sharing between each node.
This option can be helpful when network is bottleneck.
Signed-off-by: Taeksang Kim <voidbag@puzzle-ai.com>
2023-02-06 09:24:48 +09:00
7a13be67a5
Update version.py
2023-02-05 10:06:15 -08:00
4b383e8ffe
Merge pull request #1655 from rwightman/levit_efficientformer_redux
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Add EfficientFormer-V2, refactor EfficientFormer and Levit
2023-02-05 10:05:51 -08:00
13acac8c5e
Update head metadata for effformerv2
2023-02-04 23:11:51 -08:00
8682528096
Add first conv metadata for efficientformer_v2
2023-02-04 23:02:02 -08:00
72fba669a8
is_scripting() guard on checkpoint_seq
2023-02-04 14:21:49 -08:00
95ec255f7f
Finish timm mode api for efficientformer_v2, add grad checkpointing support to both efficientformers
2023-02-03 21:21:23 -08:00
9d03c6f526
Merge remote-tracking branch 'origin/main' into levit_efficientformer_redux
2023-02-03 14:47:01 -08:00
086bd55a94
Add EfficientFormer-V2, refactor EfficientFormer and Levit for more uniformity across the 3 related arch. Add features_out support to levit conv models and efficientformer_v2. All weights on hub.
2023-02-03 14:12:29 -08:00
2cb2699dc8
Apply fix from #1649 to main
2023-02-03 11:28:57 -08:00
e0a5911072
Merge pull request #1645 from rwightman/norm_mlp_classifier
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Extract NormMlpClassifierHead from maxxvit.py
2023-02-03 11:00:58 -08:00
b3042081b4
Add laion -> in1k fine-tuned base and large_mlp weights for convnext
2023-02-03 10:58:02 -08:00
316bdf8955
Add mlp head support for convnext_large, add laion2b CLIP weights, prep fine-tuned weight tags
2023-02-01 08:27:02 -08:00
6f28b562c6
Factor NormMlpClassifierHead from MaxxViT and use across MaxxViT / ConvNeXt / DaViT, refactor some type hints & comments
2023-01-27 14:57:01 -08:00
29fda20e6d
Merge branch 'fffffgggg54-main'
2023-01-27 13:55:17 -08:00
9a53c3f727
Finalize DaViT, some formatting and modelling simplifications (separate PatchEmbed to Stem + Downsample, weights on HF hub.
2023-01-27 13:54:04 -08:00
fb717056da
Merge remote-tracking branch 'upstream/main'
2023-01-26 10:49:15 -08:00
14b84e8895
📝 update docstrings
2023-01-26 00:49:44 -05:00
f0dc8a8267
📝 update docstrings for create_model
2023-01-25 21:10:41 -05:00
2bbc26dd82
version 0.8.8dev0
2023-01-25 18:02:48 -08:00
64667bfa0e
Add 'gigantic' vit clip variant for feature extraction and future fine-tuning
2023-01-25 18:02:10 -08:00
3aa31f537d
Merge pull request #1641 from rwightman/maxxvit_hub
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MaxxViT weights on hub, new 12k FT 1k weights, convnext 384x384 12k FT 1k, and more
2023-01-20 20:26:54 -08:00
9983ed7721
xlarge maxvit killing the tests
2023-01-20 16:16:20 -08:00
c2822568ec
Update version to 0.8.7dev0
2023-01-20 15:01:10 -08:00
0417a9dd81
Update README
2023-01-20 15:00:49 -08:00
36989cfae4
Factor out readme generation in hub helper, add more readme fields
2023-01-20 14:49:40 -08:00
32f252381d
Change order of checkpoitn filtering fn application in builder, try dict, model variant first
2023-01-20 14:48:54 -08:00
e9f1376cde
Cleanup resolve data config fns, add 'model' variant that takes model as first arg, make 'args' arg optional in original fn
2023-01-20 14:47:55 -08:00
bed350f5e5
Push all MaxxViT weights to HF hub, cleanup impl, add feature map extraction support and prompote to 'std' architecture. Fix norm head for proper embedding / feat map output. Add new in12k + ft 1k weights.
2023-01-20 14:45:25 -08:00
ca38e1e73f
Update ClassifierHead module, add reset() method, update in_chs -> in_features for consistency
2023-01-20 14:44:05 -08:00
8ab573cd26
Add convnext_tiny and convnext_small 384x384 fine-tunes of in12k weights, fix pool size for laion CLIP convnext weights
2023-01-20 14:40:16 -08:00
e58a884c1c
Merge remote-tracking branch 'upstream/main'
2023-01-15 14:37:52 -08:00
81ca323751
Davit update formatting and fix grad checkpointing ( #7 )
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fixed head to gap->norm->fc as per convnext, along with option for norm->gap->fc
failed tests due to clip convnext models, davit tests passed
2023-01-15 14:34:56 -08:00
e9aac412de
Correct mean/std for CLIP convnexts
2023-01-14 22:53:56 -08:00
42bd8f7bcb
Add convnext_base CLIP image tower weights for fine-tuning / features
2023-01-14 21:16:29 -08:00
65aea97067
Update tests.yml
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Attempt to work around flaky azure ubuntu mirrors
2023-01-12 21:31:44 -08:00
dd60c45044
Merge pull request #1633 from rwightman/freeze_norm_revisit
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Update batchnorm freezing to handle NormAct variants
2023-01-12 21:13:58 -08:00
e520553e3e
Update batchnorm freezing to handle NormAct variants, Add GroupNorm1Act, update BatchNormAct2d tracing change from PyTorch
2023-01-12 16:55:47 -08:00
a2c14c2064
Add tiny/small in12k pretrained and fine-tuned ConvNeXt models
2023-01-11 14:50:39 -08:00
c061d5e401
Allow using class_map functionality w/ IterableDataset (TFDS/WDS) to remap class labels
2023-01-09 16:28:47 -08:00
Ross Wightman
Ross Wightman
Taeksang Kim
Fredo Guan
nateraw