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build(deps-dev): bump torchvision from 0.19.1 to 0.22.1 in /runtimes/mlflow
Bumps torchvision from 0.19.1 to 0.22.1.
Release notes
Sourced from torchvision's releases.
TorchVision 0.22.1 Release
Key info
⚠️ We are updating the areas that TorchVision will be prioritizing in the future. Please take a look at pytorch/vision#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.
Torchvision 0.22 release
Key info
⚠️ We are updating the areas that TorchVision will be prioritizing in the future. Please take a look at pytorch/vision#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_jpegon CUDA (#8929) [transforms]pin_memory()now preservesTVTensorclass and metadata (#8921)Improvements
[datasets] Most datasets now support a
loaderparameter, which allow you to decode images directly into tensors withtorchvision.io.decode_image(), instead of relying on PIL. This should lead to faster pipelines! (#8945, #8972, #8939, #8922) [datasets] Addclassesattribute to theFlowers102dataset (#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 whennum_boxesis high (#8766, #8925) [ops] Addroi_alignnondeterministic 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
Torchvision 0.21 release
Highlights
... (truncated)
Commits
59a3e1f[release-only] Bump version to 0.22.1 (#9061)9eb57cd[Cherry-pick for 0.22] Put back docs of decode_png (#9016)2ddb698[Cherry-pick for 0.22 release] Remove stanford cars download instructions (#9...fb8cdf80.22 Cherry-picks continued (#9004)d434a1eRevert rotated bboxes (#9000)b1e9dfc0.22 Cherry-picks (#8983)8dcfb1c[Release only] Use Release 2.7 instead of main for CI jobs (#8969)697340a[release-only] Update version.txt for version .22 (#8968)124dfa4Remove quiet option from pre_build_script. Install libjpeg-turbo and ffmpeg i...dcd1e42FixRandomResizedCropscale&ratioargument. (#8944)- Additional commits viewable in compare view
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