chore(deps/python-ml): Bump the pytorch group in /python-services/liveness-detection with 2 updates

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Bumps the pytorch group in /python-services/liveness-detection with 2 updates: torch and torchvision.

Updates torch from 2.13.0 to 2.14.0

Release notes

Sourced from torch's releases.

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'.

  Before:

  options = torch.nn.LinearCrossEntropyOptions(acc_policy="balanced")
  loss = torch.nn.functional.linear_cross_entropy(
      input, linear_weight, target, options=options
  )

  After:

  options = torch.nn.LinearCrossEntropyOptions(acc_policy="compact")
  loss = torch.nn.functional.linear_cross_entropy(

... (truncated)

Commits

• 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)
• 65890f3 Fix docker-release validate job to use the channel matching the pushed image ...
• 1682388 Fix macOS py3.15 wheel builds: pin Cython < 3.3.0 and bump the cp315 numpy pi...
• 9724418 Fix Windows py3.15 builds: constrain Cython < 3.3.0 and bump the cp315 numpy ...
• f1b7554 [MPS] Fix pin_memory() recycling buffers still in use by the GPU (#194662)
• 9f205f7 [MPS] fail loudly on large reductions (#194661)
• Additional commits viewable in compare view

Updates torchvision from 0.28.0 to 0.29.0

Release notes

Sourced from torchvision's releases.

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

Commits

• 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)
• ae0ca92 Port ps_roi_align (CUDA) to stable ABI. (#9625)
• ff1a18d Port roi_align (CUDA) to stable ABI. (#9573)
• 8af7a68 Port roi_pool (CUDA) to stable ABI. (#9582)
• Additional commits viewable in compare view

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