Bump timm from 1.0.17 to 1.0.19 in /requirements
Open
Number: #1203
Type: Pull Request
State: Open
Type: Pull Request
State: Open
Author:
dependabot[bot]
Association: Contributor
Comments: 1
Association: Contributor
Comments: 1
Created:
July 25, 2025 at 02:09 AM UTC
(4 months ago)
(4 months ago)
Updated:
July 25, 2025 at 02:12 AM UTC
(4 months ago)
(4 months ago)
Labels:
dependencies python
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,timmSBB ViT w/ ROPE, and Naver ROPE-ViT can be now loaded in NaFlexViT whenuse_naflex=Truepassed 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
@rwightmanin huggingface/pytorch-image-models#2552- Support set_input_size() in EVA models by
@rwightmanin huggingface/pytorch-image-models#2554Full 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,timmSBB ViT w/ ROPE, and Naver ROPE-ViT can be now loaded in NaFlexViT whenuse_naflex=Truepassed 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
@rwightmanin huggingface/pytorch-image-models#2552- Support set_input_size() in EVA models by
@rwightmanin huggingface/pytorch-image-models#2554Full Changelog: https://github.com/huggingface/pytorch-image-models/compare/v1.0.17...v1.0.18
Commits
d08d5a0Fix #2555 for Python 3.9 compat. Release 1.0.190e79579Fix newer type annotation in layers/typinge6ab6bcRelease 1.0.18280a90cSupport set_input_size() in EVA models (#2554)19f2bfbUpdate README.md4a67e13Add 8 new Meta Perception Encoder (PE) weight/variants via EVA. Test NaFlexVi...c603c31Fix attn pool specific num_heads / mlp_ratio being passed for PE models in Na...6fb3536Fix PE ViT norm layers in NaFlexVit. Still need a PE Giant fix...68790f9Fix model patch sizes != 16 in validate.py for naflex_loader use6b0842eCleanup eva kwarg handling for naflexvit adaptation, remove debug print- Additional commits viewable in compare view
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Package Dependencies
Technical Details
| ID: | 4141806 |
| UUID: | 3261743115 |
| Node ID: | PR_kwDOClTaK86gjfcl |
| Host: | GitHub |
| Repository: | qubvel-org/segmentation_models.pytorch |