Update dependency torchvision to v0.22.1

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
torchvision	==0.21.0 -> ==0.22.1

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Release Notes

pytorch/vision (torchvision)

v0.22.1: TorchVision 0.22.1 Release

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Key info

⚠️ We are updating the areas that TorchVision will be prioritizing in the future. Please take a look at https://github.com/pytorch/vision/issues/9036 for more details.

⚠️ We are deprecating the video decoding and encoding capabilities of TorchVision, and they will be removed soon in version 0.25 (aimed for end of 2025). We encourage users to migrate existing video decoding code to rely on TorchCodec project, where we are consolidating all media decoding/encoding functionalities of PyTorch.

This is a patch release, which is compatible with PyTorch 2.7.1. There are no new features added.

v0.22.0: Torchvision 0.22 release

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Key info

⚠️ We are updating the areas that TorchVision will be prioritizing in the future. Please take a look at https://github.com/pytorch/vision/issues/9036 for more details.

⚠️ We are deprecating the video decoding and encoding capabilities of TorchVision, and they will be removed soon in version 0.25 (aimed for end of 2025). We encourage users to migrate existing video decoding code to rely on TorchCodec project, where we are consolidating all media decoding/encoding functionalities of PyTorch.

Detailed Changes

Deprecations

[io] Video decoding and encoding capabilities are deprecated and will be removed soon in 0.25! Please migrate to TorchCodec! (#​8997)

Bug Fixes

[io] Fix sync bug with encode_jpeg on CUDA (#​8929)
[transforms] pin_memory() now preserves TVTensor class and metadata (#​8921)

Improvements

[datasets] Most datasets now support a loader parameter, which allow you to decode images directly into tensors with torchvision.io.decode_image(), instead of relying on PIL. This should lead to faster pipelines! (#​8945, #​8972, #​8939, #​8922)
[datasets] Add classes attribute to the Flowers102 dataset (#​8838)
[datasets] Added 'test' split support for Places365 dataset (#​8928)
[datasets] Reduce output log on MNIST (#​8865)
[ops] Perf: greatly speed-up NMS on CUDA when num_boxes is high (#​8766, #​8925)
[ops] Add roi_align nondeterministic support for XPU (#​8931)
[all] Improvements on input checks and error messages (#​8959, #​8994, #​8944, #​8995, #​8993, #​8866, #​8882, #​8851, #​8844, #​8991)
[build] Various build improvements / platforms support (#​8913, #​8933, #​8936, #​8792)
[docs] Various documentation improvements (#​8843, #​8860, #​9014, #​9015, #​8932)
[misc] Other non-user-facing changes (#​8872, #​8982, #​8976, #​8935, #​8977, #​8978, #​8963, #​8975, #​8974, #​8950, #​8970, #​8924, #​8964, #​8996, #​8920, #​8873, #​8876, #​8885, #​8890, #​8901, #​8999, #​8998, #​8973, #​8897, #​9007, #​8852)

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:

Aditya Kamath, Alexandre Ghelfi, PhD, Alfredo Tupone, amdfaa, Andrey Talman, Antoine Simoulin, Aurélien Geron, bjarzemb, deekay42, Frost Mitchell, frost-intel , GdoongMathew, Hangxing Wei, Huy Do, Nicolas Hug, Nikita Shulga, Noopur, Ruben, tvukovic-amd, Wenchen Li, Wieland Morgenstern , Yichen Yan, Yonghye Kwon, Zain Rizvi

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