Bump timm from 1.0.17 to 1.0.18 in /requirements

[dependabot]

Bumps timm from 1.0.17 to 1.0.18.

Release notes

Sourced from timm's releases.

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

• Add ROPE support to NaFlexVit (axial and mixed), and support most (all?) EVA based vit models & weights by @​rwightman in huggingface/pytorch-image-models#2552
• Support set_input_size() in EVA models by @​rwightman in huggingface/pytorch-image-models#2554

Full Changelog: huggingface/pytorch-image-models@v1.0.17...v1.0.18

Commits

• 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
• 9625dc2 Shorten comment lines for apply_keep_indices
• 6063f82 Add ROPE support to NaFlexVit (axial and mixed), and support loading of most ...
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[qubvel]

we should get timm 1.0.19 overnight with the fix

[dependabot]

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