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Bumps the python-minor-patch group with 2 updates: torch and torchvision.

Updates torch from 2.5.1 to 2.14.1

Release notes

Sourced from torch's releases.

PyTorch 2.14.1 Release

This release is meant to fix the following regressions and silent correctness issues:

Silent correctness fixes

• Fix incorrect torch.linalg.lstsq solutions on MPS for complex batched underdetermined systems (#196113), fixed by #196128
• Fix non-orthogonal U and inaccurate small singular values from torch.linalg.svd on MPS for rank-deficient and ill-conditioned inputs (#196112), fixed by #196139 and #199063
• Update the CUDA 13.2 Linux binaries to CUDA 13.2.2 (#196351). This NVIDIA update resolves two critical issues that could produce incorrect results (CUDA 13.2.2 release notes):
  • cuBLAS: cublasLtMatmul() could ignore tensor-wide scaling for NVFP4 matrix multiplications (introduced in CUDA 13.2 Update 1)
  • Compiler: failed thread reconvergence could leave stale or corrupted register values in kernels with nested thread divergence (present since CUDA 12.8)

Regression fixes

• Fix torch.linalg.svd, torch.linalg.svdvals and torch.linalg.lstsq failing on MPS with a Metal pipeline-state error for inputs above 8192 elements (#195937), fixed by #195949 and #195950
• Fix internal assert in torch.svd(out=) on MPS for complex inputs (#195822), fixed by #195872

PyTorch 2.14.0 Release Notes

• Highlights
• Backwards Incompatible Changes
• Deprecations
• New Features
• Improvements
• Bug fixes
• Performance
• Documentation
• Security
• Developers

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

torch.nn

• torch.nn.LinearCrossEntropyOptions no longer accepts acc_policy="balanced"; use "compact" instead (#188283)

  The "balanced" policy was removed because "compact" provides the same weight-gradient accumulation precision with lower memory use on CUDA, already uses the equivalent scratch layout for mixed-precision inputs on other devices, and was never selected by "auto". Constructing the options with acc_policy="balanced" now raises ValueError: invalid acc_policy: 'balanced'; expected one of 'auto', 'accurate', 'compact'.

... (truncated)

Commits

• 5c48869 [MPS] Fix Jacobi SVD convergence for small columns (#199086)
• 35223a2 [release/2.14] Run the release runner-group reconcile in pytorch/pytorch (#19...
• 41ffbc4 [release-only] Update version to 2.14.1 (#198661)
• e8f0c01 [release/2.14] [CD] Update to CUDA 13.2.2 for Linux binaries (#198644)
• 911665d [MPS] Cherry-pick native SVD fixes into release/2.14 (#198394)
• 2b3ec34 [release/2.14] Import SDPAParams in test_transformers to fix lint (#194970)
• 08187d9 [cuDNN] Add guards for cuDNN SDPA decode (#194963)
• 8ceea97 Pin cython < 3.3.0 for the Windows Triton wheel build (#194931)
• 99ecebc [Cherry-pick][release/2.14] [inductor] Fix loop-local load CSE lifetime (#194...
• ec283a7 Bump the Python 3.15 numpy pin to 2.5.2 (#194821)
• Additional commits viewable in compare view

Updates torchvision from 0.20.1 to 0.29.1

Release notes

Sourced from torchvision's releases.

TorchVision 0.29.1 Release

This is a patch release, which is compatible with PyTorch 2.14.1. There are no new features added.

Packaging

• Relax the PyTorch requirement from torch==2.14.0 to torch>=2.14. TorchVision is now ABI stable with respect to PyTorch 2.14, so it no longer pins an exact PyTorch version (#9683, cherry-pick of #9680)

TorchVision 0.29: ABI stability!

TorchVision 0.29 is out! It comes with two major changes: ABI stability, and deprecation of the image decoders and encoders (now in TorchCodec)!

ABI Stability with torch 2.14

TorchVision is now ABI stable w.r.t. torch 2.14! This means that torchvision 0.29 will be compatible with future versions of torch: 2.15, 2.16, etc. You won’t need to install a new version of TorchVision when you upgrade torch.

As a result, we might stop releasing TorchVision in sync with pytorch. But TorchVision is still actively maintained and developed: we’ll still be pushing releases, just not with the same cadence.

Thanks to Adrian Abeyta @​adabeyta for the fantastic porting effort!

PRs: #9524, #9597, #9598, #9605, #9612, #9610, #9614, #9584, #9617, #9618, #9619, #9620, #9582, #9573, #9625, #9623, #9626, #9583, #9633, #9572, #9549, #9533, #9535, #9539, #9543, #9550, #9552, #9555, #9557, #9558, #9554

Image decoders and encoders are deprecated. Use TorchCodec!

The image decoders and encoders in torchvision.io are now deprecated, and they will be removed in a future release. They are now available in torchcodec >= 0.16, where they are significantly more capable. You’ll just need to pip install torchcodec, and you can refer to this migration guide for migrating your code (most APIs for decoding are the same).

This finalizes a clear separation of concerns for the three media-processing libraries of PyTorch: torchcodec is for decoding and encoding all media (images, videos, and audio), while torchvision and torchaudio focus on the transforms.

Bug fixes

[ops] Fix for deformable convolution kernels always running on default stream (#9522) [ops, MPS] Fix gradient overaccumulation in ROI ops (#9563, #9510) [transforms] Fix JPEG transform for non-contiguous batches (#9615)

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:

Adrian Abeyta, Andrey Talman, Dmitry Nikolaev, Irakli Salia, Jeff Daily , Kasra Ghodsi, Nicolas Hug, Nikita Shulga, Simon Byrne, Yutao Xu, Zhewen

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

... (truncated)

Commits

• 1f1a920 Set the pin to torch>=2.14 (#9680) (#9683)
• 1b4390d [release/0.29] Build against the release/2.14 test-infra branch (#9682)
• 0bb1ccf Update version to 0.29.1 (#9678)
• fc73f5a Merge branch 'release/0.29' of github.com:pytorch/vision into release/0.29
• f9b2669 [Cherry-pick for 0.29] (#9634)
• e1b5802 Revert "Update version.txt for 0.30.0 (#9607)"
• 2757376 Merge remote-tracking branch 'origin' into release/0.29
• 9e21b88 Consolidate CUDA helpers and remove the legacy _C extension in place of Stabl...
• 541c083 Port deform_conv2d (CUDA) to stable ABI. (#9626)
• 2f411e7 Port ps_roi_pool (CUDA) to stable ABI. (#9623)
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