Bump timm from 1.0.14 to 1.0.15 in /requirements

[dependabot]

Bumps timm from 1.0.14 to 1.0.15.

Release notes

Sourced from timm's releases.

Release v1.0.15

Feb 21, 2025

• SigLIP 2 ViT image encoders added (https://huggingface.co/collections/timm/siglip-2-67b8e72ba08b09dd97aecaf9)
  • Variable resolution / aspect NaFlex versions are a WIP
• Add 'SO150M2' ViT weights trained with SBB recipes, great results, better for ImageNet than previous attempt w/ less training.
  • vit_so150m2_patch16_reg1_gap_448.sbb_e200_in12k_ft_in1k - 88.1% top-1
  • vit_so150m2_patch16_reg1_gap_384.sbb_e200_in12k_ft_in1k - 87.9% top-1
  • vit_so150m2_patch16_reg1_gap_256.sbb_e200_in12k_ft_in1k - 87.3% top-1
  • vit_so150m2_patch16_reg4_gap_256.sbb_e200_in12k
• Updated InternViT-300M '2.5' weights
• Release 1.0.15

Feb 1, 2025

• FYI PyTorch 2.6 & Python 3.13 are tested and working w/ current main and released version of timm

Jan 27, 2025

• Add Kron Optimizer (PSGD w/ Kronecker-factored preconditioner)
  • Code from https://github.com/evanatyourservice/kron_torch
  • See also https://sites.google.com/site/lixilinx/home/psgd

What's Changed

• Fix metavar for --input-size by @​JosuaRieder in huggingface/pytorch-image-models#2417
• Add arguments to the respective argument groups by @​JosuaRieder in huggingface/pytorch-image-models#2416
• Add missing training flag to convert_sync_batchnorm by @​collinmccarthy in huggingface/pytorch-image-models#2423
• Fix num_classes update in reset_classifier and RDNet forward head call by @​brianhou0208 in huggingface/pytorch-image-models#2421
• timm: add all to init by @​adamjstewart in huggingface/pytorch-image-models#2399
• Fiddling with Kron (PSGD) optimizer by @​rwightman in huggingface/pytorch-image-models#2427
• Try to force numpy<2.0 for torch 1.13 tests, update newest tested torch to 2.5.1 by @​rwightman in huggingface/pytorch-image-models#2429
• Kron flatten improvements + stochastic weight decay by @​rwightman in huggingface/pytorch-image-models#2431
• PSGD: unify RNG by @​ClashLuke in huggingface/pytorch-image-models#2433
• Add vit so150m2 weights by @​rwightman in huggingface/pytorch-image-models#2439
• adapt_input_conv: add type hints by @​adamjstewart in huggingface/pytorch-image-models#2441
• SigLIP 2 by @​rwightman in huggingface/pytorch-image-models#2440
• timm.models: explicitly export attributes by @​adamjstewart in huggingface/pytorch-image-models#2442

New Contributors

• @​collinmccarthy made their first contribution in huggingface/pytorch-image-models#2423
• @​ClashLuke made their first contribution in huggingface/pytorch-image-models#2433

Full Changelog: huggingface/pytorch-image-models@v1.0.14...v1.0.15

Commits

• e44f14d Update README
• 98e9651 Update version.py
• e76ea54 Update README.md
• 92682d8 timm.models: explicitly export attributes
• a667d3d siglip2 weights on hub, fix forward_intermediates when no prefix tokens (& re...
• f63a11c Remove duplicate so400m/16 @ 256 model def
• 9758e0b Prep for siglip2 release
• c68d724 adapt_input_conv: add type hints
• 105a667 Dev version 1.0.15.dev0
• 7234f5c Add 448 so150m2 weight/model, add updated internvit 300m weight
• Additional commits viewable in compare view

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