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Bump timm from 1.0.17 to 1.0.19 in /requirements

Open
Number: #1203
Type: Pull Request
State: Open
Author: dependabot[bot] dependabot[bot]
Association: Contributor
Comments: 1
Created: July 25, 2025 at 02:09 AM UTC
(4 months ago)
Updated: July 25, 2025 at 02:12 AM UTC
(4 months ago)
Labels:
dependencies python
Description:

Bumps timm from 1.0.17 to 1.0.19.

Release notes

Sourced from timm's releases.

Release v1.0.19

Patch release for Python 3.9 compat break in 1.0.18

July 23, 2025

  • Add set_input_size() method to EVA models, used by OpenCLIP 3.0.0 to allow resizing for timm based encoder models.
  • Release 1.0.18, needed for PE-Core S & T models in OpenCLIP 3.0.0
  • Fix small typing issue that broke Python 3.9 compat. 1.0.19 patch release.

July 21, 2025

  • ROPE support added to NaFlexViT. All models covered by the EVA base (eva.py) including EVA, EVA02, Meta PE ViT, timm SBB ViT w/ ROPE, and Naver ROPE-ViT can be now loaded in NaFlexViT when use_naflex=True passed at model creation time
  • More Meta PE ViT encoders added, including small/tiny variants, lang variants w/ tiling, and more spatial variants.
  • PatchDropout fixed with NaFlexViT and also w/ EVA models (regression after adding Naver ROPE-ViT)
  • Fix XY order with grid_indexing='xy', impacted non-square image use in 'xy' mode (only ROPE-ViT and PE impacted).

What's Changed

Full Changelog: https://github.com/huggingface/pytorch-image-models/compare/v1.0.17...v1.0.18

Release v1.0.18

July 23, 2025

  • Add set_input_size() method to EVA models, used by OpenCLIP 3.0.0 to allow resizing for timm based encoder models.
  • Release 1.0.18, needed for PE-Core S & T models in OpenCLIP 3.0.0

July 21, 2025

  • ROPE support added to NaFlexViT. All models covered by the EVA base (eva.py) including EVA, EVA02, Meta PE ViT, timm SBB ViT w/ ROPE, and Naver ROPE-ViT can be now loaded in NaFlexViT when use_naflex=True passed at model creation time
  • More Meta PE ViT encoders added, including small/tiny variants, lang variants w/ tiling, and more spatial variants.
  • PatchDropout fixed with NaFlexViT and also w/ EVA models (regression after adding Naver ROPE-ViT)
  • Fix XY order with grid_indexing='xy', impacted non-square image use in 'xy' mode (only ROPE-ViT and PE impacted).

What's Changed

Full Changelog: https://github.com/huggingface/pytorch-image-models/compare/v1.0.17...v1.0.18

Commits
  • d08d5a0 Fix #2555 for Python 3.9 compat. Release 1.0.19
  • 0e79579 Fix newer type annotation in layers/typing
  • e6ab6bc Release 1.0.18
  • 280a90c Support set_input_size() in EVA models (#2554)
  • 19f2bfb Update README.md
  • 4a67e13 Add 8 new Meta Perception Encoder (PE) weight/variants via EVA. Test NaFlexVi...
  • c603c31 Fix attn pool specific num_heads / mlp_ratio being passed for PE models in Na...
  • 6fb3536 Fix PE ViT norm layers in NaFlexVit. Still need a PE Giant fix...
  • 68790f9 Fix model patch sizes != 16 in validate.py for naflex_loader use
  • 6b0842e Cleanup eva kwarg handling for naflexvit adaptation, remove debug print
  • Additional commits viewable in compare view

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Pull Request Statistics
Commits:
0
Files Changed:
0
Additions:
+0
Deletions:
-0
Package Dependencies
Package:
timm
Ecosystem:
pip
Version Change:
1.0.17 → 1.0.19
Update Type:
Patch
Path:
/requirements
Technical Details
ID: 4141806
UUID: 3261743115
Node ID: PR_kwDOClTaK86gjfcl
Host: GitHub
Repository: qubvel-org/segmentation_models.pytorch