Bump timm from 0.9.7 to 0.9.12

[dependabot]

Bumps timm from 0.9.7 to 0.9.12.

Release notes

Sourced from timm's releases.

Release v0.9.12

Nov 23, 2023

• Added EfficientViT-Large models, thanks SeeFun
• Fix Python 3.7 compat, will be dropping support for it soon
• Other misc fixes
• Release 0.9.12

Release v0.9.11

Nov 20, 2023

• Added significant flexibility for Hugging Face Hub based timm models via model_args config entry. model_args will be passed as kwargs through to models on creation.
  • See example at https://huggingface.co/gaunernst/vit_base_patch16_1024_128.audiomae_as2m_ft_as20k/blob/main/config.json
  • Usage: How to write config file to build custom ViT via HuggingFace Hub huggingface/pytorch-image-models#2035
• Updated imagenet eval and test set csv files with latest models
• vision_transformer.py typing and doc cleanup by Laureηt
• 0.9.11 release

Release v0.9.10

Nov 4

• Patch fix for 0.9.9 to fix FrozenBatchnorm2d import path for old torchvision (~2 years )

Nov 3, 2023

• DFN (Data Filtering Networks) and MetaCLIP ViT weights added
• DINOv2 'register' ViT model weights added
• Add quickgelu ViT variants for OpenAI, DFN, MetaCLIP weights that use it (less efficient)
• Improved typing added to ResNet, MobileNet-v3 thanks to Aryan
• ImageNet-12k fine-tuned (from LAION-2B CLIP) convnext_xxlarge
• 0.9.9 release

Release v0.9.9

Nov 3, 2023

• DFN (Data Filtering Networks) and MetaCLIP ViT weights added
• DINOv2 'register' ViT model weights added
• Add quickgelu ViT variants for OpenAI, DFN, MetaCLIP weights that use it (less efficient)
• Improved typing added to ResNet, MobileNet-v3 thanks to Aryan
• ImageNet-12k fine-tuned (from LAION-2B CLIP) convnext_xxlarge
• 0.9.9 release

Release v0.9.8

Oct 20, 2023

• SigLIP image tower weights supported in vision_transformer.py.
  • Great potential for fine-tune and downstream feature use.
• Experimental 'register' support in vit models as per Vision Transformers Need Registers
• Updated RepViT with new weight release. Thanks wangao
• Add patch resizing support (on pretrained weight load) to Swin models
• 0.9.8 release

Commits

• b996c1a A few more missed hf hub entries
• f9c9f6b Update README
• 5fb92d7 Version 0.9.12
• 89ec91a Add missing hf_hub entry for mobilnetv3_rw
• e7abc32 Improve bulk_runner for 'all resolution' mode
• 40d55ab Add in_chans to data config helper. Fix #2021
• 63ee548 fixed intermediate output indices
• 4d0737d Add PT 2.1 NCHW 3090 benchmark results
• fa06f6c Merge branch 'seefun-efficientvit'
• c6b0c98 Upload weights to hub, tweak crop_pct, comment out SAM EfficientViTs for now ...
• Additional commits viewable in compare view

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[Daniel451]

@qubvel looks fine to me, could this be merged soon?

[lorenzomammana]

I'll second this, it would be nice to have a stable release using the latest timm :)

[AlessandroPolidori]

Please merge it :)

[github-actions]

This PR is stale because it has been open 60 days with no activity. Remove stale label or comment or this will be closed in 15 days.

[github-actions]

This PR was closed because it has been stalled for 15 days with no activity.

[dependabot]

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