build: update torchvision requirement from <0.24.0,>=0.22.0 to >=0.22.0,<0.27.0

[dependabot]

Updates the requirements on torchvision to permit the latest version.

Release notes

Sourced from torchvision's releases.

TorchVision 0.26 Release

TorchVision 0.26 is out! It is compatible with torch 2.11. It's a small release that comes with the following changes:

Breaking changes and deprecations

The video decoding and encoding utilities of TorchVision, which have been deprecate for a long time, are now removed. This includes torchvision.io.video.*, read_video, write_video, the VideoReader class, etc. Users are encouraged to switch to TorchCodec, which is faster and more stable.

The rare torchvision utilities that were still relying on video decoding (like the video datasets) have been transparently migrated to TorchCodec.

Note: the image decoders and encoders are staying in TorchVision.

(#9341, #9421, #9370, #9366)

Improvements

[ops] Speed up masks_to_boxes on CPU and GPU (#9358) [ops] Improve runtime complexity of roi_align on MPS (#9100)

Various code quality improvements (#8760, #9364, #9317, #9359, #9334, #9286, #9327) Various documentation improvements (#9339, #9374, #9323, #9324, #8879, #9350)

Bug Fixes

[transforms] Fix edge case conversion from CXCYWH to XYXY for integer bounding boxes in F.convert_bounding_box_format (#9322) [transforms] Fix tv_tensors.wrap to preserve subclass types for BoundingBoxes and KeyPoints (#9332) [transforms] Fix incorrect normalization axis in v2.ElasticTransform (#9300) [ops] Fix masks_to_boxes for empty masks (#9357) [io] Fix CPU jpeg and png decoder/encoder error-path leak on malformed inputs (#9434)

Contributors

🎉 We're grateful for our community, which helps us improve Torchvision by submitting issues and PRs, and providing feedback and suggestions. The following persons have contributed patches for this release:

Adam J. Stewart, Andrey Talman, Jaebeom, MPSFuzz , Murat Raimbekov, Nicolas Hug, ribbon-otter , Roy Hvaara, Salman Chishti, Scott Todd, Zhitao Yu

Commits

• 336d36e [Cherry-pick for 0.26] Fix CPU decode_jpeg error-path leak on malformed JPEGs...
• 4fe736f [Cherry-pick for 0.26] Remove rest of video decoder APIs (#9421)
• 31d3aa3 [Release 0.26] update test-infra refs and version (#9390)
• 186879a [Release 0.26] remove CVCUDA stuff - not yet ready for release (#9389)
• b29ac89 [Release 0.26] remove prototype (#9388)
• 0f6d91d Vectorize masks_to_boxes for performance (#9358)
• 326a11d ElasticTransform docs: fix issue#8879 (#9350)
• 74d1285 Fix CXCYWH to XYXY conversion for integer bounding boxes (#9322)
• 6940e19 add warning for CelebA bbox data (#9339)
• 4b0a90c Update version to 0.26.0a0 (#9376)
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Torchvision upper bound misaligned with torch constraint

Medium Severity

The intel extra pins torch>=2.7.0,<2.9.0 but now allows torchvision>=0.22.0,<0.27.0. Torchvision is tightly coupled with torch (0.22→2.7, 0.23→2.8, 0.24→2.9, 0.25→2.10, 0.26→2.11), so torchvision versions 0.24–0.26 are incompatible with the torch<2.9.0 constraint. The previous upper bound of <0.24.0 was correctly aligned. This will cause dependency resolution failures or runtime incompatibilities for users of the intel extra.

Additional Locations (1)

• pyproject.toml#L233-L234

 

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