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Bump timm from 1.0.16 to 1.0.17 in /requirements #1193

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@dependabot dependabot bot commented on behalf of github Jul 11, 2025

Bumps timm from 1.0.16 to 1.0.17.

Release notes

Sourced from timm's releases.

Release v1.0.17

July 7, 2025

  • MobileNet-v5 backbone tweaks for improved Google Gemma 3n behaviour (to pair with updated official weights)
    • Add stem bias (zero'd in updated weights, compat break with old weights)
    • GELU -> GELU (tanh approx). A minor change to be closer to JAX
  • Add two arguments to layer-decay support, a min scale clamp and 'no optimization' scale threshold
  • Add 'Fp32' LayerNorm, RMSNorm, SimpleNorm variants that can be enabled to force computation of norm in float32
  • Some typing, argument cleanup for norm, norm+act layers done with above
  • Support Naver ROPE-ViT (https://github.com/naver-ai/rope-vit) in eva.py, add RotaryEmbeddingMixed module for mixed mode, weights on HuggingFace Hub
model img_size top1 top5 param_count
vit_large_patch16_rope_mixed_ape_224.naver_in1k 224 84.84 97.122 304.4
vit_large_patch16_rope_mixed_224.naver_in1k 224 84.828 97.116 304.2
vit_large_patch16_rope_ape_224.naver_in1k 224 84.65 97.154 304.37
vit_large_patch16_rope_224.naver_in1k 224 84.648 97.122 304.17
vit_base_patch16_rope_mixed_ape_224.naver_in1k 224 83.894 96.754 86.59
vit_base_patch16_rope_mixed_224.naver_in1k 224 83.804 96.712 86.44
vit_base_patch16_rope_ape_224.naver_in1k 224 83.782 96.61 86.59
vit_base_patch16_rope_224.naver_in1k 224 83.718 96.672 86.43
vit_small_patch16_rope_224.naver_in1k 224 81.23 95.022 21.98
vit_small_patch16_rope_mixed_224.naver_in1k 224 81.216 95.022 21.99
vit_small_patch16_rope_ape_224.naver_in1k 224 81.004 95.016 22.06
vit_small_patch16_rope_mixed_ape_224.naver_in1k 224 80.986 94.976 22.06
  • Some cleanup of ROPE modules, helpers, and FX tracing leaf registration
  • Preparing version 1.0.17 release

What's Changed

New Contributors

Full Changelog: huggingface/pytorch-image-models@v1.0.16...v1.0.17

Commits
  • 59fdbaa Fix 3 typos in README.md
  • 7452176 Remove debug print from mnv5 enc module
  • 2171831 Fix scripting?
  • 33791c8 Fix H, W ordering for xy indexing in ROPE, impacts models w/ xy indexing and ...
  • a7c5368 Update README, bump version to 1.0.17 in prep for release
  • 37d9440 Fixup casting issues for weights/bias in fp32 norm layers
  • ea4f940 fix: mnv5 with conv_stem bias and GELU approx tanh
  • 446e8a8 Add flag to enable float32 computation for normalization (norm + affine) (#2536)
  • 168137b Merge pull request #2538 from huggingface/mnv5_bias_str_norm
  • e1c158e Add stem_bias option to MNV5. Resolve the norm layer so can pass string args....
  • Additional commits viewable in compare view

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Bumps [timm](https://github.com/huggingface/pytorch-image-models) from 1.0.16 to 1.0.17.
- [Release notes](https://github.com/huggingface/pytorch-image-models/releases)
- [Commits](huggingface/pytorch-image-models@v1.0.16...v1.0.17)

---
updated-dependencies:
- dependency-name: timm
  dependency-version: 1.0.17
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jul 11, 2025
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