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chore(deps): Bump the ml group in /tests with 2 updates#427

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chore(deps): Bump the ml group in /tests with 2 updates#427
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Bumps the ml group in /tests with 2 updates: torch and torchvision.

Updates torch from 2.11.0 to 2.12.0

Release notes

Sourced from torch's releases.

PyTorch 2.12.0 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.

Backwards Incompatible Changes

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

    Version 2.12:

    CUDA_HOME=/usr/local/cuda-12.6 python setup.py develop
  • Enforced a C++20 minimum in CMake build files (#178662)

... (truncated)

Commits
  • 0d62256 [release] Dockerfile: skip torchaudio install when CUDA_PATH=cu132 (#183346)
  • 7661cd9 [MPS] Fix SDPA wrong output for permuted q/k/v with B > 1 (#181886)
  • 9da6087 Fix stale PYTORCH_RELEASES_CODE_CC dict (fixes #182250) (#182369)
  • e4c37cc Avoid raw stream name collisions in Inductor (#182178)
  • 822d047 [MPS] Fix bool mask handling in 1-pass SDPA decode kernel (#182285) (#182311)
  • 5c5e523 Add enable_gqa parameter to SDPA MPS meta registration (#181550)
  • eece52e [AOTI] Add BC-safe c_shim v2 for _scaled_dot_product_attention_math_for_mps e...
  • b39330b [Inductor] Call latest c_shim version for versioned fallback ops (#181548)
  • 06f10d0 Revert "[FSDP2] add fqn to communication ops" (#182100) (#182157)
  • 449e339 Revert "[Inductor] Improve materialization heuristic for a chain of computaio...
  • Additional commits viewable in compare view

Updates torchvision from 0.26.0 to 0.27.0

Release notes

Sourced from torchvision's releases.

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

🎉 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:

Andrew Strelsky, Andrey Talman, David Miguel Susano Pinto, fruet, Joan Salvà Soler, jsalvasoler , Look001122, MPSFuzz , mselim00, Murat Raimbekov, Nicolas Hug , Nikita Shulga, Pierre Moulon, ribbon-otter, Richard Barnes, shrianshChari, Timon Erhart, Ting Lu, Wei Shan Sun, Zhitao Yu

Commits
  • 78839c2 [Release 0.27] Cherry-pick of 'Remove old pyav backend, rely on TC instead (#...
  • 883dcaf [Release 0.27] update test-infra refs and version (#9480)
  • bb02424 [Release 0.27] Remove prototype (#9479)
  • 8ad7115 Fix windows builds with TheRock which doesn't accept "/Zc:preprocessor" TheRo...
  • b9ee001 Revert CV-CUDA (#9476)
  • 3ea6d90 Fix warning message to show up on the LFW dataset webpages (#9474)
  • 601776d Fix typo in anchor_utils.py documentation (#9472)
  • e160dc8 Improve LFW download error message with alternative manual download link (Kag...
  • 6214cb2 Fix vision install for all files (#9465)
  • 4e58149 fix windows install for vision (#9464)
  • Additional commits viewable in compare view

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Bumps the ml group in /tests with 2 updates: [torch](https://github.com/pytorch/pytorch) and [torchvision](https://github.com/pytorch/vision).


Updates `torch` from 2.11.0 to 2.12.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.0)

Updates `torchvision` from 0.26.0 to 0.27.0
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](pytorch/vision@v0.26.0...v0.27.0)

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

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels May 14, 2026
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