fix(deps): update dependency timm to >=1.0.29

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
timm	>=1.0.27 → >=1.0.29

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Release Notes

huggingface/pytorch-image-models (timm)

v1.0.29

Compare Source

August 27, 2026

• Add LowFormer model and weights
• Fix or merge a host of real but small or not commonly encountered bugs surfaced by agents
• Release 1.0.29

August 11, 2026

• Add model defs and pretrained weights for
  • CPUBone, an efficient vision backbone for devices with low parallelization capabilities.
  • PP-LCNetV2.
  • LingBot-Vision.
• Add per-batch image and batch size scheduling for non-NaFlex training, including progressive small-to-large resolution schedules.
• Improve NaFlexViT with key-only attention masks, compile-friendly and memory-efficient position sampling, and cached variable-patch interpolation.
• Improve model factory path and checkpoint handling; fix equal-token positional embedding resampling.

What's Changed

• Add optional key-only masks for NaFlexVit self-attention by @​chenghuichen in #​2719
• Make NaFlex position embedding sampling compile-friendly and memory-efficient by @​chenghuichen in #​2720
• Variable train image sizes by @​rwightman in #​2722
• Improved model factory path handling. Fix #​2725 by @​rwightman in #​2727
• Naflex interp cache by @​rwightman in #​2728
• Cpubone by @​rwightman in #​2733
• Fix positional embedding resampling for equal-token grid changes by @​aswanth-07 in #​2737
• Add LingBot-Vision models by @​belfner in #​2730
• Add PP-LCNetV2 (lcnetv2_small / lcnetv2_base / lcnetv2_large) by @​developer0hye in #​2736
• Fix CutMix minmax border sampling by @​tandede in #​2739
• A few more mixup / cutmix / bbox range fixups by @​rwightman in #​2740
• Return the fused RMSNorm2d result directly by @​Robertboy18 in #​2741
• Fix custom input channels for pruned EfficientNet models by @​aswanth-07 in #​2742
• Preserve classifier head device and dtype on reset by @​aswanth-07 in #​2743
• Fix load_pretrained helper in NaFlexVit, make purpose clear by @​rwightman in #​2746
• Fix AttributeError in auto-augment factories when hparams is None by @​winklemad in #​2747
• Fix AdafactorBigVision dropping the factored row normalization for tall matrices by @​winklemad in #​2749
• Fix auto-augment 'inc' and 'b' config flags ignoring the documented 0 value by @​winklemad in #​2748
• Fix SGDW foreach path applying weight decay once per (device, dtype) group by @​winklemad in #​2750
• Fix OptimizerRegistry.create_optimizer crash on layer_decay without an explicit min scale by @​winklemad in #​2754
• Fix device / dtype change for all classifier resets by @​rwightman in #​2752
• Add LowFormer by @​brianhou0208 in #​2755

New Contributors

• @​chenghuichen made their first contribution in #​2719
• @​aswanth-07 made their first contribution in #​2737
• @​tandede made their first contribution in #​2739
• @​Robertboy18 made their first contribution in #​2741
• @​winklemad made their first contribution in #​2747

Full Changelog: huggingface/pytorch-image-models@v1.0.28...v1.0.29

v1.0.28

Compare Source

July 10, 2026

• Improve optimizer torch.compile and tensor learning-rate support.
• Extend NaFlexViT patch-layout (for NaFlex-CLAP), and forward_intermediates (NaFlex dict input) support.
• Harden pickle loading and improve custom-label inference.
• Release 1.0.28

May 27, 2026

• Add model defs and pretrained weights for EUPE ViT (DINOv3-style) and ConvNeXt models. See the Efficient Universal Perception Encoder paper.
• Add TIPSv2 model defs and pretrained weights for (DINOv2-style) ViTs. See the TIPSv2 paper.

What's Changed

• validate.py: add --seed for reproducible validation by @​janbernloehr in #​2702
• Add tipsv2 vision encoders by @​rwightman in #​2705
• Initial EUPE model defs, slight tweaks for weight conversion. by @​rwightman in #​2706
• Support better torch.compile use by using torch.tensor for step count by @​rwightman in #​2704
• Preliminary naflexvit support for genlip image encoder (gated attn + mrope)) by @​rwightman in #​2707
• Address a few pickle security concerns. by @​rwightman in #​2708
• Fix ZeroDivisionError in AverageMeter.update when count is 0 by @​CharlesCNorton in #​2709
• Adding patchify_channels_last flag to unify support across data pipeline & naflex cfg/model by @​rwightman in #​2710
• Fix reg_token not being added to no-weight decay and stem/embed lr group by @​rwightman in #​2713
• Make doc builds faster by @​mishig25 in #​2714
• Fix inference.py labels for models fine-tuned on non-ImageNet datasets by @​javierdejesusda in #​2715
• Support NaFlex dict inputs for forward_intermediates by @​rwightman in #​2716
• Fixes for 1.0.28 release by @​rwightman in #​2717

New Contributors

• @​janbernloehr made their first contribution in #​2702
• @​CharlesCNorton made their first contribution in #​2709
• @​javierdejesusda made their first contribution in #​2715

Full Changelog: huggingface/pytorch-image-models@v1.0.27...v1.0.28

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