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 https://github.com/huggingface/pytorch-image-models/pull/2552
• Support set_input_size() in EVA models by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2554

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