Release v1.0.28

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: v1.0.27...v1.0.28