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Bump the torch-ecosystem group across 1 directory with 2 updates - #12

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Bump the torch-ecosystem group across 1 directory with 2 updates#12
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Bumps the torch-ecosystem group with 2 updates in the / directory: torch and torchvision.

Updates torch from 2.8.0 to 2.13.0

Release notes

Sourced from torch's releases.

PyTorch 2.13.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Tracked Regressions

ROCm wheels break torch.compile on CPU in environments without a GPU

Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.

Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.

Backwards Incompatible Changes

  • Stop building CPython 3.13t (free-threaded) binaries (#182951)

    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result, PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the free-threaded interpreter should move to Python 3.14t.

    PyTorch 2.12:

    # cp313t (free-threaded 3.13) wheels were available
    python3.13t -m pip install torch

    PyTorch 2.13:

... (truncated)

Commits
  • cf30153 [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...
  • 3e3e24b [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...
  • 7986b06 [release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)
  • 0bdbc26 [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)
  • 9cabb45 [release/2.13] Update manywheel docker image pin to 78e737ad (#188409)
  • 78e737a [release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...
  • 0bb9b5b [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...
  • aaac2bf [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

Updates torchvision from 0.23.0 to 0.28.0

Release notes

Sourced from torchvision's releases.

TorchVision 0.28.0 Release

TorchVision 0.28 is out with some small enhancement and bug-fixes:

Enhancements

  • [transforms] Let wrap() preserve metadata for custom TVTensor subclasses (#9490)
  • [transforms] Allow strings for interpolation param in resize transforms (#9461)

Bug fixes

  • [transforms] Fix F.resize on tv_tensors.Mask to honor NEAREST_EXACT interpolation. Previously the interpolation argument was ignored for mask inputs (resize_mask hardcoded NEAREST), so NEAREST_EXACT silently produced plain NEAREST output (#9497)
  • [io] Fix a GIF decoder bug on malformed GIFs that could write outside the allocated tensor's memory (#9520)

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:

Andrey Talman, Benson Ma, Jason Fried, Joanne Yun, Nicolas Hug

TorchVision 0.27.1 Release

This is a patch release, which is compatible with PyTorch 2.12.1. There are no new features added.

TorchVision 0.27 Release

TorchVision 0.27 is out! This is a small release where the main improvement is the addition of the popular lanczos interpolation mode for the v2.Resize transform on CPU. Results are equivalent to PIL's, but you can expect TorchVision to be faster as it leverages AVX2 (on x86) and NEON paths (on ARM).

Improvements

[transforms] Add support for lanczos interpolation mode (#9459) [transforms] Drastically speed-up Resize on NEON ARM (#9439) [ops] Vectorize masks_to_boxes for performance (#9358) [ops, transforms] Add direct XYWH-CXCYWH conversion for better performance (#9326) [datasets] torchvision.datasets.voc: update dataset and project site URLs (#9216) [ops] Add support for rotated boxes in box_iou (#9404, #9379) [ops][MPS] Improve runtime complexity of roi_align (#9100) [Code quality] #9359, #9364, #9359, #9317, #9409, #9408, #9416, #9411, #4463, #9475, #9427, #9448, #9443, #9396, #9316, #9286, #9324, #9338, #9381, #9386

[Documentation] #9339, #9351, #9323, #9374, #9412, #9378, #9428, #9431, #9474, #9472, #9463, #9440, #9385, #9327, #9334, #8879, #9350, #9392

Bug Fixes

[transforms] Fix incorrect normalization axis in v2.ElasticTransform (#9300) [transforms] Fix: add clamping to avoid v2.ElasticTransform IndexError when bbox equals canvas size (#9436) [transforms] Fix tv_tensors.wrap to preserve subclass types for BoundingBoxes and KeyPoints (#9332) [transforms] Fix CXCYWH to XYXY conversion for integer bounding boxes (#9322) [ops] Fix masks_to_boxes for empty masks (#9357)

Contributors

... (truncated)

Commits

@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels May 26, 2026
Bumps the torch-ecosystem group with 2 updates in the / directory: [torch](https://github.com/pytorch/pytorch) and [torchvision](https://github.com/pytorch/vision).


Updates `torch` from 2.8.0 to 2.13.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.8.0...v2.13.0)

Updates `torchvision` from 0.23.0 to 0.28.0
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](pytorch/vision@0.23.0...v0.28.0)

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.12.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: torch-ecosystem
- dependency-name: torchvision
  dependency-version: 0.27.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: torch-ecosystem
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot changed the title build(deps): bump the torch-ecosystem group with 2 updates Bump the torch-ecosystem group across 1 directory with 2 updates Aug 4, 2026
@dependabot
dependabot Bot force-pushed the dependabot/pip/torch-ecosystem-cdf337a29f branch from 869ba5a to ea269f7 Compare August 4, 2026 10:24
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