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Bumps the torch group in /requirements with 2 updates: torch and torchvision.

Updates torch from 2.7.1 to 2.8.0

Release notes

Sourced from torch's releases.

PyTorch 2.8.0 Release Notes

Highlights

... (truncated)

Commits
  • ba56102 Cherrypick: Add the RunLLM widget to the website (#159592)
  • c525a02 [dynamo, docs] cherry pick torch.compile programming model docs into 2.8 (#15...
  • a1cb3cc [Release Only] Remove nvshmem from list of preload libraries (#158925)
  • c76b235 Move out super large one off foreach_copy test (#158880)
  • 20a0e22 Revert "[Dynamo] Allow inlining into AO quantization modules (#152934)" (#158...
  • 9167ac8 [MPS] Switch Cholesky decomp to column wise (#158237)
  • 5534685 [MPS] Reimplement tri[ul] as Metal shaders (#158867)
  • d19e08d Cherry pick PR 158746 (#158801)
  • a6c044a [cherry-pick] Unify torch.tensor and torch.ops.aten.scalar_tensor behavior (#...
  • 620ebd0 [Dynamo] Use proper sources for constructing dataclass defaults (#158689)
  • Additional commits viewable in compare view

Updates torchvision from 0.22.1 to 0.23.0

Release notes

Sourced from torchvision's releases.

Torchvision 0.23 release

Highlight - Transforming KeyPoints and Rotated boxes!

📦 This release is introducing two highly popular feature requests: Transforms support for KeyPoints and Rotated Bounding Boxes!

  • Rotated Bounding Boxes provide a tighter fit and alignment with rotated and elongated objects, which improves the localization, reduces overlap in densely packed images, and improves isolation of objects in crowded scenes.
  • KeyPoints offer a robust and accurate way to identify and locate specific points of interest within an image or video frame. These features aim at improving developer experience to implement use cases, including detecting & tracking objects, estimating pose, analyzing facial expressions, and creating augmented reality experiences.

We illustrated the use of Rotated Bounding Boxes below. You can expect keypoints and rotated boxes to work with all existing torchvision transforms in torchvision.transforms.v2. You can find some examples on how to use those transformations in our Transforms on Rotated Bounding Boxes tutorials.

[!NOTE] These features are released in BETA status. The API are unlikely to change, but we may have some rough edges and we may make some slight bug fixes in future releases. Please let us know if you encounter any issue!

Detailed changes

New Features

[transforms] Added support for BoundingBoxes formats and transforms (#9104, #9084, #9095, #9138) [transforms] Added the KeyPoints to TVTensor and support for transforms (#8817)

Improvements

[utils] Add label background to draw_bounding_boxes (#9018) [MPS] Add deformable conv2d kernel support on MPS (#9017, #9115) [documentation] Various documentation improvements (#9063, #9119, #9083, #9105, #9106, #9145) [code-quality] Bunch of code quality improvements (#9087, #9093, #8814, #9035, #9120, #9080, #9027, #9062, #9117, #9024, #9032)

Bug Fixes

[datasets] Fix COCO dataset to avoid issue when copying the dataset results (#9107) [datasets] Raise error when download=True for LFW dataset, which is not available for download anymore #9040) [tv_tensors] Add error message when setting 1D tensor ToImage() (#9114) [io] Warn when webp is asked to decode into grayscale (#9101)

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: @​AlannaBurke, @​Alexandre-SCHOEPP, @​atalman, @​AntoineSimoulin, @​BoyuanFeng, @​cyyever, @​elmuz, @​emmanuel-ferdman, @​hmk114, @​Isalia20, @​NicolasHug, @​malfet, @​chengolivia, @​RhutvikH, @​hvaara, @​scotts, @​alinpahontu2912, @​tsahiasher, and @​youcefouadjer.

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Aug 7, 2025
Bumps the torch group in /requirements with 2 updates: [torch](https://github.com/pytorch/pytorch) and [torchvision](https://github.com/pytorch/vision).


Updates `torch` from 2.7.1 to 2.8.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.7.1...v2.8.0)

Updates `torchvision` from 0.22.1 to 0.23.0
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](pytorch/vision@v0.22.1...0.23.0)

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.8.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: torch
- dependency-name: torchvision
  dependency-version: 0.23.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: torch
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot force-pushed the dependabot/pip/requirements/torch-f38bde1e8f branch from 6351c19 to a81d36a Compare August 11, 2025 01:16
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