4de15f8469
Merge a73d414c7e into a5b01ec04e
2 years ago
a5b01ec04e
Add type annotations to _registry.py
...
Description
Add type annotations to _registry.py so that they will pass mypy
--strict.
Comment
I was reading the code and felt that this module would be easier to
understand with type annotations. Therefore, I went ahead and added the
annotations.
The idea with this PR is to start small to see if we can align on _how_
to annotate types. I've seen people in the past disagree on how strictly
to annotate the code base, so before spending too much time on this, I
wanted to check if you agree, Ross.
Most of the added types should be straightforward. Some notes on the
non-trivial changes:
- I made no assumption about the fn passed to register_model, but maybe
the type could be stricter. Are all models nn.Modules?
- If I'm not mistaken, the type hint for get_arch_name was incorrect
- I had to add a # type: ignore to model.__all__ = ...
- I made some minor code changes to list_models to facilitate the
typing. I think the changes should not affect the logic of the function.
- I removed list from list(sorted(...)) because sorted returns always a
list.
2 years ago
4d9c3ae2fb
Add laion2b 320x320 ConvNeXt-Large CLIP weights
2 years ago
d0b45c9b4d
Make safetensor import option for now. Improve avg/clean checkpoints ext handling a bit (more consistent).
2 years ago
7d9e321b76
Improve tracing of window attn models with simpler reshape logic
2 years ago
2e38d53dca
Remove dead line
2 years ago
f77c04ff36
Torchscript fixes/hacks for rms_norm, refactor ParallelScalingBlock with manual combination of input projections, closer paper match
2 years ago
122621daef
Add Final annotation to attn_fas to avoid symbol lookup of new scaled_dot_product_attn fn on old PyTorch in jit
2 years ago
621e1b2182
Add ideas from 'Scaling ViT to 22-B Params', testing PyTorch 2.0 fused F.scaled_dot_product_attention impl in vit, vit_relpos, maxxvit / coatnet.
2 years ago
a09d403c24
changed warning to info
2 years ago
8470e29541
Add support to load safetensors weights
2 years ago
a73d414c7e
Update metaformers.py
2 years ago
e2a9408dd0
Squashed commit of the following:
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commit b7696a30a772dbbb2e00d81e7096c24dac97df73
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Fri Feb 10 01:46:44 2023 -0800
Update metaformers.py
commit 41fe5c36263b40a6cd7caddb85b10c5d82d48023
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Fri Feb 10 01:03:47 2023 -0800
Update metaformers.py
commit a3aee37c35985c01ca07902d860f809b648c612c
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Fri Feb 10 00:32:04 2023 -0800
Update metaformers.py
commit f938beb81b4f46851d6d6f04ae7a9a74871ee40d
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Fri Feb 10 00:24:58 2023 -0800
Update metaformers.py
commit 10bde717e51c95cdf20135c8bba77a7a1b00d78c
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Sun Feb 5 02:11:28 2023 -0800
Update metaformers.py
commit 39274bd45e78b8ead0509367f800121f0d7c25f4
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Sun Feb 5 02:06:58 2023 -0800
Update metaformers.py
commit a2329ab8ec00d0ebc00979690293c3887cc44a4c
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Sun Feb 5 02:03:34 2023 -0800
Update metaformers.py
commit 53b8ce5b8a6b6d828de61788bcc2e6043ebb3081
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Sun Feb 5 02:02:37 2023 -0800
Update metaformers.py
commit ab6225b9414f534815958036f6d5a392038d7ab2
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Sun Feb 5 01:04:55 2023 -0800
try NHWC
commit 02fcc30eaa67a3c92cae56f3062b2542c32c9283
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Sat Feb 4 23:47:06 2023 -0800
Update metaformers.py
commit 366aae93047934bd3d7d37a077e713d424fa429c
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Sat Feb 4 23:37:30 2023 -0800
Stem/Downsample rework
commit 26a8e481a5cb2a32004a796bc25c6800cd2fb7b7
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Wed Feb 1 07:42:07 2023 -0800
Update metaformers.py
commit a913f5d4384aa4b2f62fdab46254ae3772df00ee
Author: Fredo Guan <fredo.guan@hotmail.com>
Date: Wed Feb 1 07:41:24 2023 -0800
Update metaformers.py
2 years ago
624266148d
Remove unused imports from _hub helpers
2 years ago
2cfff0581b
Add grad_checkpointing support to features_only, test in EfficientDet.
2 years ago
9c14654a0d
Improve support for custom dataset label name/description through HF hub export, via pretrained_cfg
2 years ago
0d33127df2
Add 384x384 convnext_large_mlp laion2b fine-tune on in1k
2 years ago
7a0bd095cb
Update model prune loader to use pkgutil
2 years ago
13acac8c5e
Update head metadata for effformerv2
2 years ago
8682528096
Add first conv metadata for efficientformer_v2
2 years ago
72fba669a8
is_scripting() guard on checkpoint_seq
2 years ago
95ec255f7f
Finish timm mode api for efficientformer_v2, add grad checkpointing support to both efficientformers
2 years ago
9d03c6f526
Merge remote-tracking branch 'origin/main' into levit_efficientformer_redux
2 years ago
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.
2 years ago
2cb2699dc8
Apply fix from #1649 to main
2 years ago
b3042081b4
Add laion -> in1k fine-tuned base and large_mlp weights for convnext
2 years ago
316bdf8955
Add mlp head support for convnext_large, add laion2b CLIP weights, prep fine-tuned weight tags
2 years ago
0b1f84142f
Merge branch 'rwightman:main' into metaformer_baselines_for_vision
2 years ago
5a19034a99
Update metaformers.py
2 years ago
5d9cb3b943
Update metaformers.py
2 years ago
1fd5f7672d
Update metaformers.py
2 years ago
8f70650295
Update metaformers.py
2 years ago
01d02fb40f
Update metaformers.py
2 years ago
7c04f6dc75
Update metaformers.py
2 years ago
6f28b562c6
Factor NormMlpClassifierHead from MaxxViT and use across MaxxViT / ConvNeXt / DaViT, refactor some type hints & comments
2 years ago
9a53c3f727
Finalize DaViT, some formatting and modelling simplifications (separate PatchEmbed to Stem + Downsample, weights on HF hub.
2 years ago
fb717056da
Merge remote-tracking branch 'upstream/main'
2 years ago
64667bfa0e
Add 'gigantic' vit clip variant for feature extraction and future fine-tuning
2 years ago
36989cfae4
Factor out readme generation in hub helper, add more readme fields
3 years ago
32f252381d
Change order of checkpoitn filtering fn application in builder, try dict, model variant first
3 years ago
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.
3 years ago
ca38e1e73f
Update ClassifierHead module, add reset() method, update in_chs -> in_features for consistency
3 years ago
8ab573cd26
Add convnext_tiny and convnext_small 384x384 fine-tunes of in12k weights, fix pool size for laion CLIP convnext weights
3 years ago
729533e966
Update metaformers.py
3 years ago
dd57cde1bc
Update metaformers.py
3 years ago
143f8e69b1
Update metaformers.py
3 years ago
61b4e716ca
Update metaformers.py
3 years ago
9a415a6041
Update metaformers.py
3 years ago
53f992723c
Update metaformers.py
3 years ago
383c9fd43d
Update metaformers.py
3 years ago
Fredo Guan