Bump timm from 0.9.7 to 0.9.16

[dependabot[bot]]

Bumps timm from 0.9.7 to 0.9.16.

Release notes

Sourced from timm's releases.

Release v0.9.16

Feb 19, 2024

• Next-ViT models added. Adapted from https://github.com/bytedance/Next-ViT
• HGNet and PP-HGNetV2 models added. Adapted from https://github.com/PaddlePaddle/PaddleClas by SeeFun
• Removed setup.py, moved to pyproject.toml based build supported by PDM
• Add updated model EMA impl using _for_each for less overhead
• Support device args in train script for non GPU devices
• Other misc fixes and small additions
• Min supported Python version increased to 3.8
• Release 0.9.16

Jan 8, 2024

Datasets & transform refactoring

• HuggingFace streaming (iterable) dataset support (--dataset hfids:org/dataset)
• Webdataset wrapper tweaks for improved split info fetching, can auto fetch splits from supported HF hub webdataset
• Tested HF datasets and webdataset wrapper streaming from HF hub with recent timm ImageNet uploads to https://huggingface.co/timm
• Make input & target column/field keys consistent across datasets and pass via args
• Full monochrome support when using e:g: --input-size 1 224 224 or --in-chans 1, sets PIL image conversion appropriately in dataset
• Improved several alternate crop & resize transforms (ResizeKeepRatio, RandomCropOrPad, etc) for use in PixParse document AI project
• Add SimCLR style color jitter prob along with grayscale and gaussian blur options to augmentations and args
• Allow train without validation set (--val-split '') in train script
• Add --bce-sum (sum over class dim) and --bce-pos-weight (positive weighting) args for training as they're common BCE loss tweaks I was often hard coding

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: https://github.com/huggingface/pytorch-image-models/discussions/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

... (truncated)

Commits

• 6e6f368 Update README.md
• 49992b0 Update version.py
• 79f2ce9 Update changes.md
• 9926be4 Update README.md
• 3df4ffe Delete requirements-docs.txt
• 155b32a Merge pull request #2096 from huggingface/pyproject_pdm
• 35d6eef Version bump, add test markers back to toml
• 01616aa Remove setup.py, replace with pyproject.toml and pdm helpers
• 8a713b0 Merge branch 'seefun-master'
• 31e0dc0 Tweak hgnet before merge
• Additional commits viewable in compare view

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